Dissertations / Theses on the topic 'Research Subject Categories – TECHNOLOGY – Electrical engineering, electronics and photonics'

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1

Marletta, Vincenzo. "FERROELECTRIC E-FIELD SENSORS, A nonlinear dynamic approach to the development of innovative measurement devices." Thesis, Universita' degli Studi di Catania, 2011. http://hdl.handle.net/10761/353.

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The exploitation of nonlinear dynamics behavior in ferroelectric material toward the realization of innovative transducers for the detection of weak and low frequency electric fields is the focus of this thesis. A nonlinear dynamical system based on ferroelectric capacitors coupled into a unidirectional ring circuit is considered with particular interest for developing novel electric field sensors. The focused approach is based on the exploitation of circuits made up by the ring connection of an odd number of elements containing a ferroelectric capacitor, which under particular conditions exhibits an oscillating regime of behavior. For such a device a weak, external, target electric field interacts with the system thus inducing perturbation of the polarization of the ferroelectric material; this, the target signal can be indirectly detected and quantified via its effect on the system response. The conceived devices exploit the synergetic use of bi-stable ferroelectric materials, micromachining technologies that allow us to address charge density amplification, and implement novel sensing strategies based on coupling non-linear elemental cells. Advanced simulation tools have been used for modeling a system including electronic components and non linear elements as the conceived micro-capacitors. Moreover, Finite Element Analysis (FEM) has allowed us to steer the capacitor electrodes design toward optimal geometries and to improve the knowledge of effects of the external target E-field on the electric potential acting on the ferroelectric material. An experimental characterization of the whole circuit, including three cells coupled in a ring configuration has also been carried out.
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2

Bhat, Vijayashree. "Wideband Microstrip Patch Antennas and their Modifications for Practical Applications." Thesis, 2020. https://etd.iisc.ac.in/handle/2005/5769.

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Printed antennas play an significant role in satellite, mobile, and other wireless communications networks, military systems and several more emerging applications in- cluding radar sensing and imaging. Several of these new applications not only have special demands for antenna designs but also require incorporation of smart features into it. In addition, research for high gain, wideband and compact antennas for several emerging technologies like 5G and IoT are rapidly progressing. In this work, design and analysis of several variants of wideband microstrip patch antennas are taken up. We begin with the design of a single layer suspended antenna where a small coplanar capacitive strip is used as the feed. Following a recent research from the group, di erent radiating patch shapes like rectangular, triangular and semi- elliptical patch geometries are compared with each other for various performance parameters. It is important that these wideband antennas must be able to transmit and receive short time pulses without any distortion and dispersion. Thus, parameters like group delay(GD) and fidelity factor(FF) are studied along with other parameters like re ection loss (S11), gain, polarisation, e ciency and radiation pattern. Full wave electromagnetic simulations using CST microwave studio is used to analyze these antenna characteristics. Triangular and semi-elliptical patches are fed in two di erent configurations (edge-feed and vertex-feed). Simulation studies showed that among the five configurations the vertex fed triangular antenna has the best performance in terms of at gain and low group delay variation over the frequency band of operation. Fabricated antenna has a return loss bandwidth from 3.1 GHz to 4.2 GHz at S11 better than -10 dB where the group delay variation is less than 2 ns. This antenna has a peak gain of 7 dBi and a beamwidth of 60 in both principal planes at the center frequency. Pulse propagation characteristics of this antenna is also studied using modulated sinusoid waveforms as the transmit signal. The degradation of pulse shape with angle is studied through simulations. The transmitted and received pulses are compared with two identical antennas at boresight to experimentally analyze the impact on time domain waveforms. A similar performance has been obtained for an antenna with the feedstrip embedded within the patch by providing a slot surrounding the strip. While retaining most of the performances the footprint of the antenna could be reduced by this approach. Surface wave generation is considered a common drawback in relatively thick microstrip configurations including suspended microstrip patch antennas (MPA) as this may cause less gain, asymmetry in the radiation pattern at higher frequencies within the operational band and increased mutual coupling when these antennas are used in arrays. To address these issues, conducting walls are introduced surrounding the above suspended MPA. The resulting configuration is a wideband cavity backed microstrip patch antenna (WCMPA). The proposed configuration has the widest impedance bandwidth reported for a cavity backed MPA. Measured S11 band- width at -10 dB return loss is from 2.89 GHz to 5.18 GHz (% BW > 55%) with peak gain of 7.6 dBi. The radiation pattern is symmetrical throughout the operational frequencies. The group delay variation is < 1ns and FF is above 0.9. In addition to these performance improvements, the addition of cavity walls provides physical stability to the antenna. Further, a modification to this antenna is investigated to increase its gain. By increasing the lateral dimensions of the cavity the gain is increased from 7.6 dBi to 10.2 dBi. However, this results in an overall footprint of about 1.3 for the entire antenna. The impact of having conducting sidewalls on mutual coupling is also studied for two element arrays in both E-plane and H-plane. A comparison of arrays with and without cavity showed that, the isolation between elements improves by 14 dB with cavity walls for a similar distance between elements in the E-plane. Furthermore, these two-element arrays can be designed for combined peak gain of 11 dBi by choosing appropriate inter-element spacing. Another modification to this antenna is proposed here, where a short horn is mounted on the substrate to increase the overall gain. The gain throughout the frequency range of the antenna can be improved by appropriately choosing the dimensions and are angle of the horn-like structure. Extensive parametric studies have been conducted on this wideband quasi-planar antenna (WQA) to analyze the impact of various design parameters. Measured peak gain for this antenna is 13.2 dBi. This low profile antenna o ers the best gain for similar quasi-planar configurations. The measured impedance bandwidth is 46.7% from 3.1 GHz to 4.6 GHz and the beamwidth is around 35 in both principal planes. While the calculated aperture efficiency is comparable to any other horn antenna, the proposed antenna geometry has a lower height compared to horn antennas and the coaxial transition is similar to those used in planar technologies. In these respects, the proposed quasi-planar an- tenna eliminates the complexity involved in integrating conventional horn antennas for compact wireless terminals. Furthermore, it has been shown that the design can be appropriately modified for di erent frequencies of operation and similar performance is achieved for these designs. One of these designs have been employed in a passive radar developed by the group. The wideband high gain antennas proposed in this research may find several applications in wideband RADAR and imaging. As a case study, we integrated this with a wideband frequency modulated continuous wave (FMCW) RADAR. A WCMPA is used as the transmitter and a two-element array of WCMPA is used as the receiver. A rat race hybrid circuit is integrated with the receiver antennas to obtain sum and di erence patterns in a monopulse configuration. This information can be used to measure the angular position to track a target. 2D and 3D tracking antenna integrated circuits are designed and the results are validated experimentally. Another case study dealt with application of high gain antenna WQA for passive radar since this wideband antenna with large beamwidth helps locate the target with good res- olution. Thermal radiations emitted by the human body in the microwave range are sensed using radiometric system. Experimental results demonstrated capability of the system to detect the presence of a person upto a distance of 2 m where the range improvement may be attributed to the high gain of the WQA used. In summary, the work reported in this dissertation enables the design and analysis of several variants of wideband microstrip antennas with low profile. In addition to extensive simulation studies, some of these designs are experimentally validated and employed in practical wideband radar applications.
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3

Abhilash, B. "Wireless Channel Modeling for Drone to Ground 2.4 GHz link." Thesis, 2018. https://etd.iisc.ac.in/handle/2005/4899.

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Use of Drones for communication is picking up the pace and expected to grow exponentially in the coming years. These drones will be used as access points for providing WiFi services in the near future. It is well known that WiFi was designed for low mobility scenario and the conventional transceivers do not work when drones move resulting in significantly higher Doppler frequency. This motivates us to design a modified physical (PHY) layer characteristics for a drone to ground communication in the WiFi band. Wireless Channel modeling of such drone-to-ground links is very important for this objective. The 2.4 GHz and 5 GHz bands (typically known as the WiFi bands) are unlicensed bands and hence most of the wireless devices use this band for communication. Developing a channel model for this band with a transmitter in motion is a challenging task. In this project, we have designed and developed a channel measurement system at 2.4 GHz link by conducting measurement campaigns to collect data and post-processing it. We model the channel as a finite impulse response (FIR) filter having tap coefficients that are stochastic in nature. The transmitter device HackRF/BladeRF carried by the drone, continuously transmits pilot data and the Universal Serial Radio Peripheral (USRP) receives the pilots. The drone is made to hover at a given distance and data is collected by USRP placed on the ground. The received data is post processed and the channel is estimated using known estimators like Maximum Likelihood (ML) and Minimum Mean Square Error (MMSE) estimators. The estimated channel is represented by 20 tap FIR filter. The histograms of the magnitude of estimated filter tap are fitted to known distribution with suitable parameters. The above procedure is repeated for different terrains and for varying distances between the drone and the ground at several different locations in IISc campus. A draft channel model is presented based on the measurement data
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4

Chatterjee, Avijit. "Silicon photodetector integrated silicon nitride-on-SOI platform for communication and sensor applications." Thesis, 2021. https://etd.iisc.ac.in/handle/2005/5250.

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Driven by the exponential growth of data tra c, current infrastructure and standards are evolved to meeting the requirements. In long haul communication, 1550/1310 nm based singlemode ber technology is a commercially viable platform. For short-reach optical interconnects for rack-to-rack communication and within buildings, the matured 850 nm VCSEL based multimode ber (MMF) technology is an industry-standard. IEEE has recently proposed a 400 Gbps roadmap for data centers to scale up short-reach infrastructure. However, the current shortreach datacom infrastructure is not scalable to support a 400 Gbps data rate. Integration of all the functional components of an optical interconnect on a single platform can meet the requirement of a scalable, energy-e cient, and a ordable system. Additionally, CMOS compatibility can leverage electronic and photonic circuits' co-existence on a single platform and low-cost mass manufacturing. Integrating optical functionalities on a single-chip also o ers application in sensing as well. Due to the low absorption in water, the 850 nm wavelength window is also attractive for realizing Lab-on-a-chip biosensors. Integrated photonic circuits at 850 nm band can therefore be useful for a lab-on-a-chip biosensor platform as well. This thesis presents an integrated photonic platform comprising silicon nitride (SiN) waveguide, SiN surface grating coupler, silicon photodetector, and wavelength lters integrated monolithically on the SiN-on-SOI platform at 850 nm wavelength. Our primary focus is to overcome the limitation of lower responsivity and bandwidth of silicon photodetector. We extensively study various techniques to integrate silicon photodetector with passive SiN waveguides e ciently suitable for future short-reach datacom and lab-on-a-chip biosensors. In the rst part, we realize a single-mode SiN waveguide along with high-e ciency surface grating couplers. We have demonstrated a uniform and apodized grating coupler with a bottom Bragg re ector. Apodized gratings provide higher coupling e ciency than uniform gratings due to better mode pro le matching between Gaussian-shaped ber mode and the apodized grating eld pro le. Distributed Bragg re ector (DBR) reduces the optical loss due to high order di racted light directed towards the bottom substrate. SIN apodized grating coupler with DBR as the bottom re ector achieves the highest ever coupling e ciency of 2.19 dB/coupler and 3dB bandwidth of 40 nm at 876nm wavelength. In the second part, we demonstrate various architectures to integrate high-speed silicon photodetector with SiN waveguide. First, we demonstrate the integration of SiN waveguide with high-speed, lateral silicon pin photodetector. Compared to the silicon photodetector realized on bulk silicon, photodetector on an SOI has higher bandwidth due to the lower cross-section. We use silicon inverse taper to improve the coupling from SiN to silicon, which results in better responsivity of silicon photodetector. We have achieved the highest responsivity of 0.44 A/W and bandwidth of 15 GHz for the integrated silicon pin. Bandwidth improvement without degradation of responsivity is attributed to the lateral collection of photocarriers transverse to the propagation direction, and low RC time-limited bandwidth due to the thin silicon. To enhance the photodetector responsivity further, we propose a SiN ring resonator enhanced silicon metal-semiconductor-metal (MSM) photodetector. Compact, cavity-enhanced silicon- MSM photodetector responsivity is estimated to be 0.81 A/W at 5 V, which is 100 times higher than the conventional waveguide photodetector. Moreover, the photodetector's compact size (6X6 m2) can o er high bandwidth due to reduced RC time-limited bandwidth. In this section, we also discuss the integration of SiN waveguide with a thin silicon-MSM photodetector (70 nm thick). In this con guration, the SiN waveguide is placed on top of the silicon-MSM. Since the silicon's thickness is low SiN, the waveguide does not su er from mode mismatch losses between silicon and SiN. Such con guration is attractive due to its high responsivity and bandwidth, along with ease of fabrication. We have shown the DC measurements with a maximum responsivity of 0.56 A/W at 10 V bias. Finally, we have demonstrated the integration of wavelength division multiplexer with silicon photodetector since the shortwave wavelength division multiplexing (SWDM) at 850 nm wavelength band is considered one of the viable solutions to attain 400 Gbps roadmap. We have realized the WDM using SiN Echelle gratings and integrated the output channel waveguides with a silicon-MSM photodetector. Experimentally, we have shown that the Echelle grating has the insertion loss of 4.3 dB and adjacent channel cross talk of 22 dB for the channels having wavelength separation of 10 nm. Future exploration of the demonstrated device can lead to precise wavelength ltering with on-chip detection useful for both high-speed short-reach datacom and lab-on-a-chip biosensors. In summary, we have demonstrated the capability of realizing a scalable, energy-e cient, and cost-e ective silicon nitride based integrated photonic receiver in the 850 nm wavelength band.
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5

Tarafdar, Gourav. "Design and Synthesis of Low Band Gap Ambient Stable Organic Semiconductors for Photovoltaics." Thesis, 2019. https://etd.iisc.ac.in/handle/2005/4360.

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Organic photovoltaics is a fast-developing technology and has the potential to revolutionize the energy market. In the recent years, high photoconversion efficiency has been achieved through continuous efforts on design and synthesis of newer organic semiconductors. However, enormous scope of development and research in this area remains. BODIPY based organic semiconductors for examples have only recently started catching up with other class of organic materials for solar cell applications. In this thesis, therefore we focus our efforts on designing newer BODIPY materials and more importantly investigating the structure-function correlation. Understanding the structure-function correlation in this class of materials will help provide guidelines for designing newer materials with better performance. In Chapter 1, Introduction, we discuss the development of organic semiconductors and their application in solar cells reported in the literature. We find both small molecules and polymers used for both donor and acceptor applications in OPVs. While historically more research have been done on donor materials, in recent years development of acceptors to replace fullerenes is catching up. In the same chapter, we also discuss some of the examples of BODIPY based OPV materials and decide on the different aspects of structure-function correlation that we would be looking into in this thesis. In Chapter 2, we have discussed the major characterization techniques we use in the thesis, to study the new BODIPY molecules synthesized here. The results of this thesis are laid down in the subsequent 4 chapters. In Chapter 3, we look into the effect of trifluoromethyl substituent at the meso position of BODIPY on the properties of BODIPY based A-D-A molecules. We designed and synthesized two pairs of A-D-A molecules with terminal BODIPY (with either a 4-methylphenyl meso group or a 4-trifluoromethylphenyl at the meso position) and Fluorene (S1 and S2) and Benzodithiophene (S3 and S4) as the central donor unit. The effect of the trifluoromethyl group on the photophysical properties of these molecules were thoroughly characterized using steady state and femtosecond transient absorption spectroscopy. We further look into charge transfer from these molecules into PC60BM using Time resolved microwave conductivity (TRMC) measurements and study the effect of the trifluoromethyl group on the charge transfer mechanism. Based on our finding we could suggest that incorporation of the trifluoromethyl group in BODIPY based donor small molecules leads to a poorer charge transfer into fullerene acceptor. In Chapter 4, we look into the effect of trifluoromethyl substituent at the meso position of BODIPY on the properties of BODIPY based D-A polymers. We could synthesize a set of BODIPY-fluorene polymers (P7 and P8) which had sufficiently low HOMO and low band gap allowing absorption throughout the visible region of the solar spectra. Through TRMC measurements we could demonstrate that these polymers could be used as non-fullerene acceptors with PTB7-Th donor polymer for all polymer solar cells. The trifluoromethyl group is seen to clearly render better electron acceptor property to the polymer. Organic solar cells are also fabricated with the pair of BODIPY polymer (with and without trifluoromethyl group) as electron acceptors and the trifluoromethylated polymer (P8) is seen to perform better than its counterpart. In Chapter 5, we design and synthesize another set of BODIPY based polymers (P9-P12). The BODIPY subunits in these polymers have been modified by fusing thiophene to the core and hence the conjugation length is extended. This leads to a narrower band gap and the resulting polymers absorb in the NIR region up to 1200 nm. Using TRMC measurements we demonstrate that these polymers could be used as non-fullerene acceptors. These polymers (P11 and P12) can be used for development of fullerene free polymer photodetectors with NIR response. In Chapter 6, we study the effect of structural isomerism in BODIPY based D-A polymers. BODIPY can be connected to the polymer backbone through either the α or the β position. However, in literature most of the BODIPY based D-A polymers used for OPV applications are β-connected. In this chapter we design and synthesize a pair of structural isomeric BODIPY polymers (α-connected and β-connected). The properties of the α-connected (P1 and P3) and β-connected polymers (P2 and P4) are compared. The optoelectronic properties change drastically without affecting the charge carrier mobility. However, the α-connected polymers perform better than the β-connected polymers as electron acceptors. This is shown by the photovoltaic performance of all polymer solar cells fabricated with P3HT donor and the BODIPY polymers a well as by Time resolved photoluminescence spectroscopy. In summary (Chapter 7), we have designed and synthesized a library of new BODIPY based organic semiconductors. We have also demonstrated for the first time, the possibility of using BODIPY based polymers as non-fullerene acceptors. More importantly, we have investigated three major aspects of structure function correlation in this class of materials, previously overlooked. The results from this thesis help us conclude that incorporation of trifluoromethyl group improved the electron mobility in BODIPY polymers. Also, we see that α-connected polymers and not β-connected polymers could perform better for photovoltaic applications
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Roy, Anwesha. "Improved air-tissue boundary segmentation in real-time magnetic resonance imaging videos using speech articulator specific error criterion." Thesis, 2022. https://etd.iisc.ac.in/handle/2005/5882.

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Real-time Magnetic Resonance Imaging (rtMRI) is a tool used exhaustively in speech science and linguistics to understand the dynamics of the speech production process across languages and health conditions. rtMRI has two advantages over other methods which capture articulatory movement, like X-ray, Ultrasound and Electromagnetic articulography - it is non invasive, and it captures a complete view of the vocal tract including pharyngeal structures. The rtMRI video provides spatio-temporal information of speech articulatory movements, which helps in modeling speech production. For this purpose, a common step is to obtain the air-tissue boundary (ATB) segmentation in all frames of the rtMRI video. The accurate estimation of ATBs of the upper airway of the vocal tract is essential for many speech processing applications like speaker verification, text-to-speech synthesis, visual augmentation for synthesized articulatory videos, and analysis of vocal tract movement. Thus, it is necessary to have an accurate air-tissue boundary segmentation in every frame of the rtMRI videos. The best performance in ATB segmentation of rtMRI videos in speech production, in unseen subject conditions, is known to be achieved by a 3-dimensional convolutional neural network (3D-CNN) model. In seen subject conditions, both 3D-CNN and 2-dimensional deep convolutional encoder-decoder network (SegNet) show similar performance. However, the evaluation of these models, as well as other ATB segmentation techniques reported in literature, has been done using Dynamic Time Warping (DTW) distance between the entire original and predicted boundaries or contours. Such an evaluation measure may not capture local errors in the predicted contour. Careful analysis of predicted contours reveals errors in regions like the velum part and tongue base section, which are not captured in a global evaluation metric like DTW distance. In this thesis, such errors are automatically detected and a novel correction scheme is proposed for them. Two new evaluation metrics are also proposed for ATB segmentation, separately for each contour, to explicitly capture errors in these contours. Moreover, the state-of-the-art models use overall binary cross entropy as the loss function during model training. However, such a global loss function does not give enough emphasis on regions which are more prone to errors. In this thesis, together with global loss, the use of regional loss functions has been explored, which focus on areas of the contours which have been analyzed as error prone in the analysis. Two different losses are considered in the regions around velum and tongue base - binary cross entropy (BCE) loss and dice loss. It is observed that dice-loss based models perform better than their BCE loss based counterparts.
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Mahapatra, Manmohan. "Soft Switched Multilevel Unidirectional High Frequency Link DC to AC Converter for Medium Voltage Grid Integration of Solar Photovoltaics." Thesis, 2019. https://etd.iisc.ac.in/handle/2005/4675.

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Grounding the frame of photovoltaic (PV) panel is a necessity for the safety of humans. This leads to the formation of large capacitance between PV cells and ground. Hence, to reduce leakage current due to parasitic capacitance between PV cells and ground, the DC output voltage of a photovoltaic panel is normally kept below 1 kV. Conventionally, for medium voltage (3.3 kV-66 kV) AC grid integration of PV panel, the DC output of PV is rst converted to 400V AC and is connected to a 400V collection grid through a line frequency transformer (LFT). This LFT provides isolation and limits circulating current among the PV modules. Another step-up LFT is used to connect 400V AC grid to the medium voltage (MV) transmission grid. These line frequency transformers are bulky and expensive. The line side lters are placed on the low voltage side of the rst LFT and hence, experience high currents leading to higher copper losses. To avoid the limitations of LFTs, power converters with high frequency transformer (HFT) are becoming popular. The HFT is fed from a DC side inverter (DSI) and the output of HFT (which is high frequency AC) is converted to line frequency AC using power electronic converters. This type of converter is known as high frequency link (HFL) DC to AC converter. State-of-the-art HFL DC to AC converters mostly employ a multi-stage power conversion technique where an isolated DC to DC converter is cascaded with an inverter. The stages are controlled independently. The inter-stage voltage sti DC-link is maintained with large electrolytic capacitor. But such an approach requires higher amount of ltering and use of electrolytic capacitor a ects long-term reliability. Moreover, the capacitor voltage needs to be tightly regulated to protect the devices. The grid interfaced inverter is high frequency hard-switched resulting in reduced e ciency. These drawbacks are overcome in a single-stage power conversion approach where the inter-stage lter capacitor is removed and all the power devices are either soft or line frequency switched resulting in reduction in switching loss and improvement in e ciency. In literature, to replace the step-up LFT and to directly integrate the converter to the medium voltage grid, a popular solution is the usage of cascaded multilevel power conversion. Generally, the above discussed multi-stage converter is employed as modules in a cascaded multilevel con guration to produce medium voltage. Moreover, some existing topologies use single-stage converters in a cascaded multilevel con guration to produce medium voltage, but the grid side converters are high frequency switched, leading to higher loss. In this thesis, a new topology is proposed to overcome the drawbacks of existing cascaded multilevel power conversion topologies. In the thesis, a new single-stage high frequency link cascaded multilevel converter topology is proposed for MV grid integration of solar power. A single-stage high frequency link DC to AC converter is used as a module. The DC side of each module is connected to a PV source. The AC sides of multiple such modules are connected in series in a cascaded fashion to interface with the MV AC grid. Proposed modulation of the DC to AC module results in zero voltage switching (ZVS) of the DC side converter and line frequency switching of the AC side converter. ZVS happens for most part of the line cycle. Over a switching cycle, the operation of this module is similar to a phase-shifted full bridge (PSFB) DC to DC converter. In the PSFB converter, during switching transition, the parasitic capacitance of AC side diode bridge along with leakage inductance of HFT forms a resonating circuit. This resonating circuit leads to high voltage stress on the secondary side devices. An active snubber is designed to restrict the voltage overshoot. The operation of PSFB converter, considering all parasitics, is not explored in literature. In this thesis, a detailed analysis of the operation of the PSFB and step-by-step design methodology is given. The hardware is designed and tested with DC input voltage of 400 V, DC output voltage of 1240 V, output power of 1.5 kW and switching frequency of 20 kHz. Experimental results validate the analysis. A method is proposed to observe medium voltage waveforms with the standard low-voltage probe. A method to remotely control the medium voltage converter is developed to ensure safety.
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John, Varkey M. "Opacity and its Trade-offs with Security in Linear Dynamical Systems." Thesis, 2023. https://etd.iisc.ac.in/handle/2005/6194.

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Opacity is notion of privacy that is well-studied in computer science and discrete-event systems. In our work, we extend the opacity notion to linear dynamical systems. Opacity describes an eavesdropper’s inability to estimate a system’s “secret” states by observing the system’s outputs. We consider four opacity classes - initial-state, current-state, K-step and infinite-step opacity, and show that they are fundamentally connected with two subspaces of the linear system - the weakly unobservable subspace and the weakly unconstructible subspace. Further, we establish that a trade-off exists between opacity and security in the system. We show this in two ways – (i) we prove that an opaque system always permits undetectable attacks, (ii) we show that expanding the set of opaque states in the system always expands the set of undetectable attacks. We also propose optimization algorithms to minimally perturb a non-opaque system to make it opaque. We demonstrate our results on a smart grid system. Our work is the first to study opacity in such generality for linear dynamical systems, and provides necessary mathematical foundation for system designers to develop and build opaque systems, while ensuring adequate security.
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Sai, Pavan Polisetty. "Fault Location in Double Wye Shunt Capacitor Banks." Thesis, 2020. https://etd.iisc.ac.in/handle/2005/4392.

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Shunt capacitor banks (SCBs) are usually used for providing reactive power support to power systems. Reactive power support leads to power factor correction, voltage regulation and reduction of network losses. Outage of the SCBs may affect the power system. Thus, SCBs should be well protected for efficient operation of power system. SCBs consist of many capacitor elements connected in series and parallel combinations. Failure of capacitor elements leads to cascaded failures within the SCB if left undetected. Thus, early detection of internal failures in SCBs is crucial. Double wye SCB con figuration is commonly used for reactive power support in high voltage transmission systems. Unbalance protection methods are mostly used for protecting SCBs against internal faults. Among them, neutral current unbalance methods are sensitive and are commonly used to locate the internal faults in double wye SCBs. Locating the internal faults helps in speeding up the repair process and reducing the outage time. One of the limitations of existing neutral current unbalance methods is that they fail to detect simultaneous faults. Simultaneous faults are those faults which happen at the same time or happen between two consecutive protection passes. During some simultaneous fault conditions, existing neutral based methods may misinterpret the fault condition as a healthy condition. In some other cases, one type of fault may be misinterpreted as another type of fault. The severity of fault may also be misinterpreted during simultaneous faults. Misinterpretation of fault type and severity delays the repair process. There is a need for a fault location method which overcomes the drawbacks of the existing methods. In this thesis, a novel method is proposed to detect different types of internal faults in grounded and ungrounded double wye SCBs. The proposed method detects different types of single and consecutive faults in double wye SCBs. The proposed method can also locate simultaneous faults happening in any of the two legs of the bank. This method uses compen- sated negative sequence quantity and compensated neutral currents to locate the fault. In the proposed method, compensated quantities are obtained by subtracting the pre-fault quantities from the quantities during fault. This helps in cancelling the effect of pre-fault conditions. The advantage of the proposed method compared to the existing methods is that it can lo- cate simultaneous faults. The proposed method is analyzed under different practical scenarios such as system voltage unbalances, temperature effects, switching transients, external faults and manufacturing unbalances. Severity of fault is indicated by the number of failed elements. Proposed method can also calculate the number of failed elements accurately. Simulation studies have been performed on a test system developed in PSCAD software which validates the proposed method. Fuseless ungrounded bank and grounded fuse type bank con gurations have been simulated. It has been found that the proposed method performs satisfactorily under conditions like load switching, external faults and voltage unbalance. Per- formance of the proposed method during internal faults like single faults, simultaneous faults and consecutive faults has been tested. The proposed method performs effectively even during external fault and load switching conditions. A laboratory scale test setup consisting of fuseless ungrounded SCB has been developed. It has been found that proposed method locates different fault types like single and simultaneous faults accurately. Both software and hardware results validate the successful working of the proposed method
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Pal, Anirban. "Unidirectional High-Frequency-Link DC to Three-Phase AC Conversion: Topology, Modulation and Converter Design." Thesis, 2019. https://etd.iisc.ac.in/handle/2005/4536.

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In recent years, stringent restrictions on greenhouse gas emission due to the present global warming scenario is driving governments and power utilities worldwide behind electricity generation using renewable energy sources. Conventionally, for grid integration of a large scale photovoltaic (PV) system, a three-phase voltage source inverter followed by a line frequency transformer (LFT) is used. The inverter generates line frequency (50/60 Hz) AC from the DC output of PV. The LFT provides galvanic isolation and thus reduces the circulation of leakage current, and ensures safety. Few limitations with the conventional system are a) huge volume as the LFT is bulky, (b) quite expensive due to large amount of iron and copper used in LFT and (c) the inverter is hard switched. The converter topologies with high-frequency galvanic isolation have attractive features like high power density and are less expensive. Hence these converters are promising alternatives to the conventional solution. The three-phase inverter topologies with high-frequency transformer are generally of two types- a) multi-stage and b) single-stage. In multi-stage, interstage DC link is voltage sti as lter capacitor is used. In a single-stage solution, the intermediate DC link is pulsating as lter capacitor is avoided to improve reliability. Though these converters have high power density, they employ large number of active switches on both the sides of the transformer to process power and hence have relatively lower e ciency compared to the conventional solution. The active switch count can be reduced in case of unidirectional applications like grid integration of PV, fuel-cell where the active power ows from DC source to AC grid. The converter e ciency can be further improved by reducing the switching loss. In this work, we have investigated four new unidirectional single-stage three-phase inverter topologies with low or negligible switching loss. To reduce the switching loss, the active switches of the introduced topologies are either line frequency switched or high-frequency soft-switched. The soft-switching is achieved without additional snubber circuit. The pulse width modulation is implemented on the input DC side converters which are soft-switched. The active switches of the grid interfaced converter are low frequency switched and thus enabling the use of high voltage blocking inherently slow semiconductor devices for direct medium voltage grid integration. The topologies are gradually improved to achieve soft-switching of the DC side converters throughout the line cycle. The conditions on dead time to ensure soft-switching are derived through detailed circuit analysis. The operations of these topologies are experimentally veri ed on hardware prototypes with power range 2-6kW. Out of four introduced topologies, three topologies can support only unity power factor operation. An additional shunt compensator is needed for any reactive power support. The fourth topology can support up to 0.866 power factor operation though it has relatively higher conduction loss. The performances of the introduced topologies are compared with multi-stage and conventional solutions. Though the new topologies have relatively higher switch counts, the converter power losses, lter requirements are comparable with the conventional solution with line frequency transformer, and have high power density.
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11

Ravali, Pampala. "Integrated Optical Double Ring Resonators with MEMS for Pressure and Acceleration Sensing." Thesis, 2018. https://etd.iisc.ac.in/handle/2005/5481.

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Silicon Photonics has become a signi ficant area of research in last three decades because of its high speed operation, low power consumption and the most important feature, resistant to electro-magnetic interferences. Mi- cro ring resonators are an important part of Photonic Integrated circuits. The advantages it posses like compactness, strong optical enhancement and wavelength selectivity. It does not require any kind of gratings for looping backwards. These features make ring resonator reliable for applications like sensing, filtering, optical buffering, loss measurements and non-linear effects. This thesis consists of the design and analysis of double micro ring resonator of radius 5 m and 4 m for the sensing of differential pressure sensor and ac- celerometer using integrated Optical MEMS. The single micro ring resonator has been analyzed thoroughly detailing its characteristics and properties. All the simulations are performed on MATLAB R2017b. To achieve higher Q- factor, higher sensitivity, higher FSR than that of a Single ring, the Double Ring Resonator is designed and analyzed. The Vernier effect is responsi- ble for higher FSR in Double Ring. A detailed study on Vernier effect on Double Ring is done followed by the characteristics and properties of Double ring resonator. To design the mechanical sensors, the role of Optical MEMS is very crucial. The micro-cantilever beam is studied w.r.t the position of straight waveguide and ring and stress distribution in each case is plotted. The analysis of micro-cantilever beam and ring resonator is done using Finite Element Method (FEM). The sensors designed in this thesis are differential pressure sensor and accelerometer. The differential pressure sensor achieved a sensitivity of 15:54pm=kPa whereas the accelerometer was designed using a non-uniform cantilever beam. Here two con figrations were proposed in order to acheive higher Dynamic Range and better sensitivity. A step-like proof- mass is used in the second con figration. The first con figuration achieved a sensitivity of 26:6pm=g and Dynamic range of 4g and the second con gu- ration achieved a sensitivity of 30:75pm=g and Dynamic range of 10g.
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Deka, Jayanta Kumar. "Nonlinear Optical Enhancement Studies in Silicon-based Resonant Metasurfaces." Thesis, 2022. https://etd.iisc.ac.in/handle/2005/5809.

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Metasurfaces are two dimensional arrangements of building blocks called meta-atoms which have been found to be useful to manipulate amplitude, phase, polarization of light at the nanoscale. Using these properties, functional nanoscale devices for light manipulation have been built with wide-ranging applications in the various fields of sensing, metrology, optical communication, quantum computation etc. The subwavelength thick devices along with the possibility of manipulating properties of a light beam at will has made metasurfaces a promising alternative to conventional bulky optical components in various fields. Recently metasurfaces made of dielectric materials have been finding increasing research interest with the excitation of various resonance effects including Mie resonance, guided mode resonance, electromagnetically induced transparency, bound state in the continuum etc. Nonlinear optics is the field of study of light matter interaction where the material response to an incident light beam depends on higher powers of the light field amplitude. The applications of this field of study virtually spans all the optical domains, especially the fields of harmonic generation, wave mixing processes, sensing, switching, quantum optics etc. The enhancement of electric field near the resonances along with relaxed phase matching requirements makes metasurfaces a promising platform to realize these devices. In particular dielectric metasurfaces have been shown to be attractive in realizing these devices due to their field confinement inside the dielectric, high damage threshold, excitation of magnetic resonances etc. Silicon is the preferred dielectric because of its CMOS compatibility along with high third order nonlinear optical susceptibility. However, second order nonlinear optical effect is vanishing in silicon due to centro-symmetry. Due to this research interest has also been directed towards other materials with high second order susceptibilities particularly III-IV materials, two dimensional materials including transition metal dichalcogenides, gallium selenide, hexagonal boron nitride etc. In the first part, resonant third harmonic generation (THG) is demonstrated from amorphous silicon (a-Si) nanodisk arrays arranged in hexagonal lattice. The resonances occurring in such structures can be explained based on isolated Mie resonances and collective guided mode resonances in the array. Resonant THG enhancement ≈ 500 times corresponding to the fundamental resonance wavelength of 1510 nm is obtained compared to un-patterned a-Si film. Along with this we study spatial, spectral and intensity dependence of the THG process in a nonlinear microscopy set up. Intensity dependent reversal of THG image contrast is also demonstrated. Next, large area four wave mixing (FWM) microscopy on a silicon-on-insulator (SOI) based partially etched zero-contrast gratings (ZCG) metasurface is performed. The etch depth is a useful parameter which can be used to tune spectral positions along with Q factor of the resonances. Signal resonance is designed to occur at 1580 nm in sub-wavelength zeroth order diffraction region while the pump wavelength is fixed at 1040 nm higher order diffraction region resulting in the FWM wavelength of 775 nm. Maximum FWM enhancement ≈ 450 times is obtained as the signal beam is scanned through the fundamental resonance wavelength. Such structures can have potential applications in wavelength conversions across widely separated wavelength bands using wave mixing processes. In the next part, polarization-independent resonant enhancement of second harmonic generation (SHG) from multilayer gallium selenide (GaSe) on silicon-based resonant metasurface is performed in the presence of fundamental field depolarization and higher order diffraction effects. Nonlinear wave propagation simulations show that the higher order diffracted SHG exhibit strong polarization dependent enhancement with characteristics very different from the native GaSe layer. In this context, polarization independent enhancement of the second harmonic signal is achieved only for the zeroth order diffracted component. Experimental study of second harmonic generation from the GaSe layer integrated with the silicon metasurface shows maximum nonlinear signal enhancement of ~22 times on-resonance with polarization dependence identical to the native GaSe layer by selectively detecting the zeroth-order diffracted component. In the final part, electromagnetic design and analysis of hybrid metasurfaces composed of multi-layer GaSe coupled to silicon holey disk arrays is presented for achieving high spectral contrast chiral SHG. The silicon holey-disk structures are designed to support EIT-like optical resonances in the 1.5-1.8 µm wavelength range in the vicinity of electric and toroidal dipole scattering modes. The fundamental electric field enhancement above the silicon structures shows RCP and LCP-like characteristics at distinct wavelengths resulting in two prominent peaks for the LCP and RCP resolved SHG from the GaSe layer above the holey-disks. This results in high contrast SHG degree-of-circular-polarization spanning -1 to +1 over the fundamental excitation spectral range considered. The chiral SHG response is also found to be strongly influenced by the unit-cell lattice arrangement with square or hexagonal lattice exhibiting very different chiral SHG response. Finally, circular polarization resolved SHG and THG microscopic studies are also performed on a resonant metasurface of partially etched a-Si nanodisk arrays integrated with multilayer GaSe.
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13

Prasad, Parmeshwar. "Parametric Manipulation in 2D Material based NEMS Resonators." Thesis, 2018. https://etd.iisc.ac.in/handle/2005/4669.

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In this this thesis, I have studied dynamics of the two-dimensional (2D) material based NEMS resonators with resonant frequency ranging typically from 10 MHz to 100 MHz. The experiment involved fabrication of the suspended nano-scale devices both with global and local gate architectures. The experiments focused on parametric manipulation of MoS2 drum resonator using electrical actuation and detection schemes. This study demonstrated parametric ampli cation in the NEMS at non-cryogenic temperature and discussed effects of During non-linearity on the parametric gain. Further, multimodal coupling among the mechanical modes in the drum resonator was also demonstrated
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Dam, Shimul Kumar. "Power Electronic Converters for Condition Monitoring and Voltage Equalization of Batteries." Thesis, 2019. https://etd.iisc.ac.in/handle/2005/4534.

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Power converters are used in battery-based storage systems in many applications. Apart from the task of regulating the charging and discharging, the power electronic converters can also help to monitor battery condition and to avoid over-charge or over-discharge of any battery cell. One approach to monitoring the cell condition is by measuring its impedance. The power converter for charging and discharging of the cell stack can be used for online measurement of cell impedances. The challenges involved in control, measurement, and the hardware requirements for impedance measurement are analyzed in this work, and suitable solutions are proposed. A Proportional Integral Resonant (PIR) controller-based control scheme and a DAC based measurement method are proposed for impedance measurement over the required frequency range. Two di erent approaches are proposed to achieve su cient output voltage resolution for generating small amplitude voltage perturbation. One approach achieves high voltage resolution by replacing the single-leg buck converter with a multi-leg interleaved converter. The other approach uses a low-power rated auxiliary converter in series with the main converter to achieve high voltage resolution. Both of the methods are experimentally veri ed and compared with commercial equipment and the advantages of each approach are evaluated. A voltage equalizer is a power electronic circuit that equalizes the cell voltages in a series- connected cell stack to avoid over-charge and over-discharge of any individual cell. A low- cost voltage equalizer using selection switches for a cell to cell equalization is proposed. This equalizer uses capacitive voltage level shifting to avoid bulky and lossy isolation transformer and to reduce cost. A new approach with a lower number of low-frequency selection switches further reduces the equalizer cost. A high-performance voltage equalizer is also proposed to achieve fast equalization by direct multi-cell to multi-cell charge transfer. This topology is shown to provide soft-switching with high e ciency. The equalizer is controlled in an open loop. The equalization currents do not reduce with progress in voltage equalization, making this topology faster than the existing open-loop multi-cell to multi-cell topologies. A modularization method is proposed for this topology to provide a direct path for charge transfer from any cell in one module to any cell in another module. The operation of both the equalizers and the modularization technique are experimentally veri ed which con rms the theoretical analysis.
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15

Pandey, Awanish. "Mode Engineering in Micro Ring Resonators and Their Application." Thesis, 2018. https://etd.iisc.ac.in/handle/2005/4666.

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Silicon Photonics (SiP) has emerged as the prominent platform for Photonic Integrated Circuits (PICs). CMOS technology compatible fabrication processes, high index contrast of the waveguide core-cladding leading to sharp bends, and low propagation loss are the key advantageous features of SiP circuits in Silicon on Insulator (SOI). Various functional units are already in their mature stage where Micro Ring Resonators (MRRs) have been widely used to realize wavelength selective devices in a PIC. Compact design, high Q-Factor, scalable spectral properties, and the ability to create complex higher-order signal processing architectures are some of its basic advantages. Due to these benefits of MRR, it has found a wide range of applications ranging from sensors, optical communication, and filters. MRRs resonate at particular resonance wavelengths dictated by the interference condition. However, fabrication imperfections and parasitic coupling at various interfaces in MRR excite undesirable degenerate cavity modes that can lead to unpredictable resonance splitting. The extent of splitting and the shape of split resonances are uncontrollable and unpredictable within a reasonable degree of accuracy and are only identified during the device characterization stage. Such split response limits the use of MRR, otherwise a versatile component in PIC. In this work, we attempted to tackle the resonance splitting problem by engineering mode interaction within the cavity. We proposed and demonstrated a unique Self-Coupled MRR (SCMRR) that provides a predictable and controllable resonance split by regulating the excitation of the degenerate cavity mode. We also worked over multiple cavity systems like loaded MRR and quadruple resonance split MRR to gain control over not only the extent of splitting but also the resonance shape. Finally, the proposed devices were exploited for applications in three different domains i.e. sensing, optical communication and RF signal processing using photonics. Optical Communication: we demonstrated four channel multicasting at 48Gbps (4 x12 Gbps) by selectively splitting the MRR resonance into four notches. Multicasting is achieved using Two Photon Absorption (TPA) induced Free Carrier Dispersion (FCD) in Silicon. To the best of our knowledge, we achieved the highest data rate/channel of 12 Gbps using a MRR based device. Sensing: we demonstrated an on-chip self-calibrated sensor interrogator. In this patented technique, we used SCMRR as an interrogator to scan the shift in FBG sensor spectrum that can automatically calibrate the system performance against the natural decay of the SCMRR thermal tuners and fluctuations in the ambient environment. Unlike a single MRR, SCMRR interrogator response certain spectral characteristics that can be processed to identify the change in FBG spectrum as well as the SCMRR resonance split. The SCMRR split is then fed back to the system to calibrate the thermal tuners for SCMRR. RF signal processing using photonics: we proposed a RF Phase Shifter (PS) and generation of on-chip Single SideBand with carrier (SSB+C) for Radio over Fiber (RoF) based applications. In PS, we achieved continuous tuning of RF phase from 00 to 1800 with a record low power penalty of sub-1dB for a wide bandwidth RF (8 GHz-43 GHz). In RoF, we proposed a method of generating SSB+C signal by suppressing one of the sidebands of a Double SideBand with Carrier (DSB+C) signal. We achieved a tunable suppression ratio, high dynamic range, and almost zero dispersion-based power penalty, unlike DSB+C signals, over a transmission length of 43 Km and a frequency range of 1 GHz-20 GHz. The suppression is achieved using DSB+C signal from bulk modulator as well as an on-chip modulator
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16

Sharma, Radhanshu. "Design of broad-band backend compatible photonic devices and vertical inter-layer couplers." Thesis, 2018. https://etd.iisc.ac.in/handle/2005/4897.

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Optical interconnects are regarded as efficient replacements for conventional electrical wiring for realizing large data capacity, high-speed transmission and Silicon-based integrated photonics is the best candidate for such application. Conventional silicon photonics is typically fabricated on silicon-on-insulator (SOI) substrate using top layer crystalline silicon as the active photonic layer. Even though this platform has been very successful for standalone photonic integration, the cost of such substrates, lack of well-developed supply chain and the incompatibility with standard silicon wafer-based CMOS electronics pose open challenges. This has motivated the development of back end of line (BEOL) process integration for optical components, in which the core and cladding materials can be deposited at low temp on a pre-fabricated silicon CMOS wafer. With this motivation, we present the waveguide component design for broadband, backend compatible application with 3 set of core-cladding material, namely, amorphous silicon (a-Si) on silicon dioxide (SiO2), amorphous silicon on silicon nitride and amorphous germanium on silicon nitride. These structures can support light propagation in the near-IR to mid-IR wavelength range, making these devices suitable for both interconnect and sensing applications. The wave-guiding characteristic of ridge and channel geometry structures are also studied to achieve tunability of dispersion, a key requirement to realize active nonlinear photonic functionalities. Next, we design waveguide structures that act as vertical couplers for multilayer photonic integration. Each layer could achieve different functionality (e.g. lasers, photodetectors etc.) and hence an efficient vertical interlayer coupler for coupling light between the adjacent layers is needed. Here we propose an efficient low footprint design for heterogeneous interlayer vertical coupling using high-index inverse tapers with a medium index MMI block that helps achieve high efficiency coupling even for large interlayer separation. We demonstrate simulation results of > 90% coupling between a bottom layer a-Si waveguide to a top layer GaAs waveguide with separation as large as 2 microns. The vertical coupler designed here could lower the stringent fabrication requirement for multilayer wafer bonding for heterogeneous photonic integration.
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17

Ahmad, Syed Shahjahan. "Modeling, Characterization, Control and Design of Switched Reluctance Machines." Thesis, 2019. https://etd.iisc.ac.in/handle/2005/4613.

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Switched reluctance machines (SRM) are permanent magnet free, and have a simple rotor construction with no current carrying parts. These are particularly suitable for high-temperature and high-speed applications. However, modeling and control of SRM are challenging on account of both phase inductance and back-emf being dependent on phase current as well as rotor position. This thesis addresses modelling and characterization of SRM, current control for low speed operation, single pulse control for high speed operation, and electromagnetic design of SRM. Further, this thesis is oriented towards providing a solution for a high-speed switched reluctance generation (SRG) system, which is directly coupled with a high-speed thermal turbomachinery. Hence this thesis focuses on modelling of SRG system (inclusive of machine, power converter and control), control techniques for high-speed generation, high-switching frequency SiC MOSFET based power converter, fast fault detection and protection schemes for such converters, and B-H characterization of magnetic materials at high frequencies. On account of direct coupling to the thermal turbine, the generator shaft temperature and consequent expansion are expected to be high. Hence, special rotor constructions utilizing a common material for shaft as well as rotor are considered and evaluated experimentally. Delta modulation and variable gain PI based current control are well known techniques for current control in an SRM. This thesis proposes and validates a fixed gain PI control with back-emf compensation for current control of SRM. A novel model predictive based current control is also proposed, which has better current tracking ability. Then a novel constant current injection based characterization method is proposed, which can yield the flux-linkage characteristics of the SRM without the requirement of blocking the rotor at known positions. The novel current control and characterization techniques are demonstrated and evaluated on a 4-phase, 8 stator pole, 6 rotor poles, 4 kW, 1500 rpm SRM drive. The thesis derives a mathematical model of SR generation (SRG) system, and utilizes this model to study voltage build-up during stand-alone operation of the SRG system. A new high-speed optimal single pulse controller for SRG is also reported. Unlike the existing methods, the proposed real-time technique does not require any prior knowledge of the SRM characteristics or any off-line optimization procedure, and would be useful for self-commissioning of SRM drives. These modelling and control techniques are also demonstrated on the 4-phase, 4 kW, 1500 rpm SRM. High-speed SRM requires high switching frequency power converter for effective control. Hence SiC devices based 50 kHz, 800 Vdc, 50 Arms power converter (asymmetric H-bridge) is developed, which is suitable for 20 kW 3-phase SRM. A fast fault detection and protection technique is part of the gate drive circuit of the above power converter. Design and performance prediction of high-speed machines require knowledge of magnetic properties of materials over a wide range of frequency and excitation, which are often not available. A novel linear precision power amplifier (PPA) is developed for characterization of magnetic materials, which does not need a coupling transformer. This is a multi-stage, direct-coupled amplifier with low output offset, rated for 70 V peak, 10 A peak, DC-5 kHz frequency range. Using this PPA, the magnetic properties of numerous ferromagnetic alloys are studied experimentally. Finally, design, fabrication and test results of high-speed SRM prototypes are presented. Two 10,000 rpm, 5 kW prototypes are fabricated, one having a solid rotor and another with a slitted rotor proposed in this thesis. These rotors are machined from single body, and therefore, are suitable for harsh operating conditions such as high temperature and high speeds. The flux-linkage characteristics of the solid-rotor SRM are experimentally investigated. A new, simple yet accurate stator-side model of the same is proposed for the solid-rotor SRM. This model derives unique phase voltage and current relationship from the measured multi-valued flux linkage versus current loops. The proposed slitted rotor structure retains the mechanical integrity of the solid rotor, while having lower iron losses. The measured flux-linkage characteristics and the measured no-load losses at various speeds establish the significant reduction in iron losses. Another 40,000 rpm, 10 kW, liquid-cooled prototype is also designed and fabricated. Measurement of flux-linkage characteristics at different rotor position and no-load losses at different speeds are repeated towards performance evaluation of this prototype.
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18

Karjol, Pavan Subhaschandra. "Speech enhancement using deep mixture of experts." Thesis, 2018. https://etd.iisc.ac.in/handle/2005/5190.

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Speech enhancement is at the heart of many applications such as speech com- munication, automatic speech recognition, hearing aids etc. In this work, we consider the speech enhancement under the framework of multiple deep neural network (DNN) system. DNNs have been extensively used in speech enhance- ment due to its ability to capture complex variations in the input data. As a natural extension, researchers have used variants of a network with multi- ple DNNs for speech enhancement. Input data could be clustered to train each DNN or train all the DNNs jointly without any clustering. In this work, we pro- pose clustering methods for training multiple DNN systems and its variants for speech enhancement. One of the proposed works involves grouping phonemes into broad classes and training separate DNN for each class. Such an approach is found to perform better than single DNN based speech enhancement. However, it relies on phoneme information which may not be available for all corpora. Hence, we propose a hard expectation-maximization (EM) based task speci c clustering method, which, automatically determines clusters without relying on the knowledge of speech units. The idea is to redistribute the data points among multiple DNNs such that it enables better speech enhancement. The experimen- tal results show that the hard EM based clustering performs better than the single DNN based speech enhancement and provides results similar to that of the broad phoneme class based approach.
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19

Kumar, Himanshu. "Robust Risk Minimization under Label Noise." Thesis, 2018. https://etd.iisc.ac.in/handle/2005/4760.

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In the setting of supervised learning, one learns a classi fier from training data consisting of patterns and the corresponding labels. When labels of the examples in training data have errors, it is referred to as label noise. In practice, label noise is unavoidable. For example, when labelling of patterns is done by human experts, we may have label noise due to the unavoidable subjective biases and/or random human errors. Now-a-days, in many applications, large data sets are often labelled through crowd-sourcing which would also result in label noise both due to human errors as well as due to variations in the quality of the crowd-sourced labellers. Many studies have shown that label errors adversely affect the standard classifier learning algorithms such as Support Vector Machine(SVM), Logistic Regression, Neutral Networks etc. Thus, robustness of classifier learning algorithms to label noise is an important desired property. This thesis investigates the robustness of risk minimization algorithms to label noise. There are many approaches suggested in the literature for mitigating the adverse affects of label noise. One can use some heuristics to detect examples with noisy labels and remove them from training data. Using similar heuristics, modi fications are suggested in algorithms such as perceptron, Adaboost etc. for mitigating adverse effects of label noise. Another important approach is to treat the true labels as missing data and, using some probabilistic model of label corruption, estimate the posterior probability of the true labels using, e.g., EM algorithm. In this thesis, we study robustness of classi fier learning algorithms which can be formulated as risk minimization methods. In risk minimization framework, one learns a classifi er by minimizing the expectation of a loss function with respect to the underlying unknown distribution. Many of the standard classi fier learning algorithms (e.g., Naive Bayes, Backpropagation for learning feedforward neural networks, SVMs etc.) can be posed as risk minimization. One approach to robust risk minimization is called loss correction. Here, to minimize risk with loss L with respect to the true label distribution, one creates a new loss function L0 and minimizes risk with it under the corrupted labels. However, to nd the proper L0 for a given L, one needs knowledge of the label corruption probabilities (which may be estimated from the data). Another approach to robust risk minimization is to seek loss functions that result in inherent robustness of risk minimization. An advantage with this approach is that one need not differentiate between the noisy or noise free training data. The classi fier learning algorithm remains the same. This is the approach that is investigated in this thesis. The robustness of risk minimization depends on the loss function used. In this thesis we derive sufficient conditions on the loss function so that risk minimization under that loss function is robust to different types of label noise models. We call loss functions that satisfy these conditions as robust losses. Our main theoretical results address the robustness of risk minimization under symmetric and class-conditional label noise model. In symmetric label noise, probability of mislabelling a sample to other class is same irrespective of a pattern. Symmetric label noise model is suitable for applications where errors in the labels are random. In class conditional label noise, errors in labels are dependent on the underlying true class of a pattern. This model is suitable for applications where some pairs of classes are more likely to be confused than others. We also discuss our results on the most general noise model called non-uniform label noise where probability of labelling error depends on the pattern vector also. All our theoretical results are for the case of multi-class classifi cation and these results generalize some similar results known for the case of binary classi fication. All our theoretical results concern minimization of risk though in practice one can only minimize empirical risk. We provide one result on the consistency of empirical risk minimization under symmetric label noise. We also empirically demonstrate the utility of our theoretical results using neural network classi fiers. We consider three commonly used loss functions with deep neural networks, namely, Categorical Cross Entropy (CCE), Mean Square Error (MSE) and Mean Absolute Error (MAE). Out of these three, MAE loss satis fies the sufficient conditions of a robust loss while the other two do not. Through empirical investigation on synthetic and standard real data sets, we show the robustness of MAE loss compared to the others. While the MAE loss is robust, it is difficult to minimize empirical risk under this loss and this is seen from our empirical results. It takes a very large number of epochs and a good initialization point to optimize MAE loss compared to CCE and MSE, both of which are not robust. To alleviate this issue, we propose a novel robust loss called Robust Log Losses (RLL). This loss can be viewed as a modi fication of CCE to make it robust. Empirical risk minimization under RLL is similar to that under CCE in terms of learning rate. However, RLL satis es the sufficient condition for robustness and we show empirically that RLL is superior to CCE in terms of robustness to label noise. Learning with RLL is more efficient compared to that with MAE. We further extend our concept of robust risk minimization under label noise to multi-label categorization problems. In multi-label problems, a pattern may belong to more than one class unlike the case with multi-class problems where only one label is associated with a pattern. We fi rst de ne symmetric label noise model in the context of multi-label classifi cation problems which is a useful model for random errors in labelling. Next, we study robust learning of multi-label classfii ers under risk minimization and propose sufficient conditions for a loss to be robust under symmetric label noise. These su cient conditions are satis ed by the Hamming loss and its surrogate robust losses. In the case of multi-label problems also, we empirically demonstrate our theoretical results.
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20

Ahmed, Miraj S. K. "Multiview Registration Using Rank-Constrained Semide nite Programming." Thesis, 2018. https://etd.iisc.ac.in/handle/2005/4761.

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We consider the problem of reconstructing a 3D surface from its multiview scans. Typically, the computational pipeline for this problem has two phases: (I) finding point-to-point correspondences between overlapping scans, and (II) registration of the scans based on the correspondences. The focus of this thesis is on phase II. In particular, we work with a global registration model, where the scans are registered in one-shot using rotations and translations. We consider a least-squares formulation of global registration, where the variables are the transforms associated with the scans. The present novelty is that we reduce this intrinsically nonconvex problem to an optimization over the positive semidefinite cone, where the objective is linear but the constraints are nevertheless nonconvex. We propose to solve this using variable splitting and the alternating direction methods of multipliers (ADMM). Due to the linear objective and the structure of constraints, the ADMM sub-problems turn out to be projections with closed-form solutions. In particular, for m scans, the per-iteration cost is the partial eigendecomposition of a 3m 3m matrix, and m􀀀1 singular value decompositions of 3 3 matrices. We empirically show that for appropriate parameter settings, the proposed solver has a large convergence basin and is stable under perturbations. This is in keeping with recent empirical results on the effectiveness of ADMM for nonconvex problems (the convergence theory is still in its infancy though). We use the proposed ADMM algorithm to align 3D scans, where we determine the pairwise correspondences (in phase I) using the standard ICP algorithm. We present results on simulated and real datasets to demonstrate the effectiveness of our method. A remarkable feature of our method is that it can tolerate heavy amount of outliers in the correspondences. In particular, our method has better noise robustness than existing methods, where by “noise” we mean both perturbations in measurements and correspondences. An interesting open problem in this regard is establishing convergence (optimality) for the ADMM iterations; this is not covered by exisiting results.
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21

Gnanavignesh, R. "Parallel Computing Techniques for High Speed Power System Solutions." Thesis, 2020. https://etd.iisc.ac.in/handle/2005/4981.

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Modern power systems are enormously large and complex entities. Planning, maintaining and operating such a system would be cumbersome if it were not for the wide assortment of analytical methods available to assist the power engineer. With the advent of interconnected systems came the necessity of developing techniques for enabling the power system operator to determine the electrical state of the network and to predict how it would respond to different disturbances such that reliability and other economic criteria are always met. Increase in system size, introduction of complex controls, uncertainties in forecasting, etc. necessitate faster software tools to handle power system planning, operation and operator training. This thesis aims to improve the performance of power system software tools by proposing parallel algorithms with the objective of reducing their execution time. Solution of a sparse set of linear algebraic equations is one of the most essential modules used in almost all power system software tools. The thesis addresses the issue of reducing the execution time of sparse linear algebraic solver by parallelizing sparse matrix factorization. A LU factorization algorithm which is more amenable for parallelization is identified and chosen. In this work, the structural symmetry property of power system sparse matrices is exploited to maximize the column or node level parallelism. Results obtained from the implementation of the proposed algorithm on Graphical Processing Units (GPUs) corroborate its efficacy by achieving significant reduction in the solution time when compared with state of the art CPU based sequential sparse linear solvers. Power flow algorithm is one of the most frequently executed algorithms with respect to the steady state realm of the power system. The output of the power flow algorithm is the phasor bus voltages and line flows for the given load-generation pattern. Reduction in the solution time for the power flow algorithm would further boost other applications like contingency analysis, optimal power flow, dynamic studies, etc. This thesis proposes a parallel power flow algorithm based on Newton-Raphson method. Inclusion of reactive power limit constraints at generator buses in the problem formulation stage itself eradicates the need to use heuristic techniques. In this work, the given power system network for which the power flow solution is desired, is decomposed into smaller sub-networks and processed in an independent as well as in a concurrent manner. Partial results from the sub-networks are consolidated to arrive at the solution of original network. The proposed algorithm is implemented on a computer architecture comprising of multiple cores. Results obtained indicate preservation of the superior convergence property of Newton-Raphson method and a significant reduction in the solution time required for the parallel version of the power flow when compared with the sequential version. Transient stability assessment is an important module within the Dynamic Security Assessment application. The objective of transient stability assessment is to obtain the dynamic, low frequency electromechanical phenomenon and determine whether the power system would be able to maintain synchronism after an electrical disturbance. Time domain simulation for the stability assessment by solving thousands of Differential Algebraic Equations (DAEs), even though is the preferred method, is computationally intensive and becomes a major computing challenge as system size increases. The thesis proposes a parallel algorithm based on spatial domain decomposition employing relaxation conditions to speedup the transient stability simulation to handle the aforementioned challenge. A convergence enhancing mechanism through selection of appropriate admittance parameters for the network emulating fictitious buses which mimic the remainder of the system for each sub-network is derived. Also, a technique of port dependency reduction, which guarantees convergence for any general network is presented. Results obtained from implementation on a multicore parallel architecture corroborate the scalability and improved speedup features of the methodology which achieves a significant reduction in the simulation execution time which would greatly aid in reliably operating the power system.
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22

Jain, Abhilash. "Visual Speech Recognition." Thesis, 2018. https://etd.iisc.ac.in/handle/2005/4767.

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Visual speech recognition (VSR), or automatic lip-reading, is the task of extracting speech information from visual input. The addition of visual speech has been shown to improve the performance of traditional audio speech recognition (ASR) systems, and hence has been active area of research since it's inception. This thesis proposes a new VSR system for isolated word recognition tasks, with focus on the feature extraction methodology. A novel two-stage feature extraction technique is proposed. Image transform based features { discrete cosine transform (DCT) and local binary patterns (LBP) { are used. The use of di erence images for temporal feature extraction is also proposed. A new region of interest (ROI), which consists of the throat and lower jaw along with the mouth, is also introduced. For ROI extraction, the Viola-Jones algorithm is used. Classi cation is done using a multi-class Support Vector Machine (SVM) model. The system provides a simple, yet effective way to extract features from the video input, and performs comparably to some recent VSR systems, which employ more complicated techniques, like lip modelling or deep learning, to extract visual features.
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Prashanth, R. "Versatile sensing platform using silicon photonic microring resonators." Thesis, 2018. https://etd.iisc.ac.in/handle/2005/5504.

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Measurement of refractive indices of liquids and thin films can play an important role for chemical analysis in the fields of healthcare and biomedical research. There is a requirement of miniaturized refractive index sensor platforms that have high sensitivity, low detection limits and scalable for high throughput label free bio-sensing. Silicon photonic sensors are emerging as the key solution that can satisfy all of the aforementioned criteria. These optical sensing platforms can be fabricated on a silicon wafer using the same processes employed for manufacturing of CMOS integrated circuits, which provides the advantages of low cost and high volume production. However, the cost advantages of these miniaturized sensors are often negated by the requirement of expensive optical interrogation equipment such as a tunable laser and a spectrum analyzer. In our research work, we have demonstrated new sensor con figuration based on silicon photonic microring that is capable of low-cost refractive index sensing. We have also extended the microring resonator platform to measure thermo-optic coeffcients of liquids in small volumes. The first part of the thesis research focuses on the development of tunable cascaded Silicon microring resonators for refractive index shift sensing. This configuration uses two microring resonators in series cascade with one of the two rings probing the analyte liquid (called sensor) while the second microring functions as a spectral filter. By implementing thermo-optic tunability in the fi lter ring, one can track the shifts in the spectrum of the sensor. At the output, a single photodetector is used to capture variations in the intensity. This arrangement is used to translate spectral shifts of sensor microring, caused by analyte index variation, into equivalent changes in the position of intensity peak at the output of the cascade. In our experiments, we used a broadband source (1550 nm) for the input and a single photodetector for measuring optical intensity variation at the output port. For proof of concept studies, we emulated the analyte index shift on sensor microring using thermo-optic effect. The total detection range of the 1550 nm operating device was estimated to be about 0.0241 refractive index units (RIU), with a detection limit of 4:6 10􀀀5 RIU. In the second part of our research we focused on improvement of the detection limit of the tunable cascaded microring device. The precision with which shifts in the intensity peak is tracked was enhanced by the use of lock-in ampli fier assisted harmonic ratio detection. Speci cally, we compute the ratio of the second harmonic to the fundamental frequency of modulation signal provided to the filter ring microheater. Prior to performing experiments, we analyzed the method with theoretical models and simulations to understand the effect of variations in the modulation signals provided by lock-in amplifi er. Experimental results with the 1550 nm cascaded microring devices showed a substantial reduction (a factor of 1330) in the width of harmonic ratio peak compared to that of the unprocessed intensity curve. The detection limit of the device was improved to 8:6 10􀀀6 RIU, now limited only by the performance of electrical equipment providing power to microheaters. Lastly, we have demonstrated a method to measure thermo-optic coeffcient of small volume of liquids using silicon microring resonators. This effort can help in multiparameter analysis of bio fluids and also for correcting errors in refractive index measurements by silicon microrings. For this experiment, we measured the wavelength shifts of analyte covered mircoring resonators as a function of controlled increments in chip temperature. Using theoretical models and simulated parameters, we calculated the thermo-optic coeffcients of standard liquids and obtained a good match with values reported in literature. In summary, we have explored new methods of using silicon photonic microring resonators for reduced cost refractive index sensing and thermo-optic coeffcient measurements.
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24

Gladwin, Jos K. T. "Modeling of Permittivity Variations in Stochastic Computational Electromagnetics." Thesis, 2021. https://etd.iisc.ac.in/handle/2005/5718.

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With the evolution of 5G systems offering high data rates, major changes are required in the design approach of the components of communication systems. Furthermore, building complex electromagnetic systems at the terahertz frequency range is of particular interest to the scientific community. Transmitting and receiving electromagnetic (EM) subsystems, including antennas, RF circuits & devices, RF filters, waveguides, etc are essential building blocks of these systems. It has been observed that there is significant uncertainty in the realization of these components due to fabrication tolerance, especially at millimeter wave frequencies and above. In addition to the variations in material properties due to these, the complex nature of antenna hosting environments, excitation function and point of source feeding, affect the performance characteristics of these devices. Incorporating these uncertainties in the EM design of the above advanced systems, both in terms of mathematical formulation and computational implementation is challenging. The tolerance in the fabrication process results in variations of dielectric material properties, which affects the system response. Therefore, a proper quantification of uncertainties using an efficient numerical stochastic EM solver help deliver a robust and optimal design. In this scenario, this thesis explores developing fast and efficient numerical stochastic EM solvers by considering parameters with a statistical variation. Various uncertainty modeling algorithms are formulated, implemented, and their performance is evaluated, validated, and compared by considering different practical stochastic EM problems. Both intrusive and non-intrusive finite element methods (FEM) for uncertainty quantification (UQ) in electromagnetics have been studied extensively in this work. For this analysis, FEM is used due to its versatility in handling complex EM structures with multiple dielectric domains. EM problems are unique due to the special boundary conditions employed, the possibility of resonances due to structural features and the broad frequency range of analysis required. A popular intrusive method for stochastic analysis is the polynomial chaos expansion (PCE) based stochastic spectral finite element (SSFEM) method. SSFEM can capture variations in an EM problem accurately and is shown to be computational efficient when compared with the Monte Carlo (MC) method. But SSFEM computational complexity scales with the number of random variables and results in a curse of dimensionality. Therefore the Neumann expansion (NE) is developed as an intrusive method for solving stochastic EM problems, wherein the matrix obtained by the discretization, can be split into the deterministic and stochastic parts. The Neumann series expansion after appropriate truncation is applied here to obtain the stochastic response. Unlike SSFEM, the computational complexity of NE method is shown to scale marginally with the number of stochastic regions, but is shown to have a limitation of capturing large variations. Another PCE based scheme for uncertainty modeling namely, least square polynomial chaos expansion (LSPCE ) is proposed here, as a non-intrusive method. A non-intrusive scheme is easier to implement and treats the EM solver as a black-box and therefore can be integrated with even commercial EM solvers. LSPCE minimizes the sum of squared error due to PCE truncation, through a system of algebraic equations, to solve the unknown PCE coefficients. This formulation is found to be computationally efficient compared with Monte Carlo and can efficiently handle EM problems with large stochastic dimensionality. Implementation aspects such as the initial number of samples for the proposed method is chosen by analyzing probability distance measures. The number of initial samples is found to be at least twice the number of orthonormal stochastic basis (over-determined system). Furthermore, the computational complexity of LSPCE can be reduced using fewer initial samples, but this results in an under-determined system, which is highly ill-conditioned. It has been shown that, such an ill-posed problem is solved using regularization methods such as regularized steepest descent. Fabrication tolerance can also result in spatial variations in material properties for EM structures and can be modeled as a random field using Karhunen Loeve (KL) expansion for a given covariance kernel and correlation length. KL expansion is truncated for a finite-dimensional representation and analyzed using intrusive methods such as SSFEM and NE. This implementation of stochastic modeling requires several random variables, which is difficult to solve using conventional stochastic algorithms. However, it has been shown that sparse algorithms can be utilized for solving these problems, as PCE coefficients are sparse in this case. Sparse algorithms, namely orthogonal matching pursuit and subspace pursuit, have been applied to enhance computational efficiency. Modern EM systems are expected to be operated over a broad frequency range, which increases the computation cost when frequency domain methods such as FEM is used. Large degree of freedom in complex EM problems increases this further. A formulation involving proper orthogonal decomposition (POD) is attempted, which forms a basis of low dimension and is shown to be efficient and accurate for a single frequency. Extending this to be operated over the frequency range, the intrusive UQ methods, SSFEM and NE are applied to this low dimensional POD basis. It is shown that the use of this modified POD-SSFEM and POD-NE formulations offers significant computational and memory advantages and can be analysed over a broad range of frequency. This new formulation is also shown to be effectively capturing the stochastic response for EM problems with large degree of freedom with limited computational resources. All the above numerical stochastic algorithms are implemented with in-house edge element FEM programs to solve stochastic electromagnetic problems involving variations in the permittivity of dielectric regions. Accuracy of these methods is evaluated by comparing with Monte Carlo simulations and performing statistical tests. Computational constraints have been discussed, and the resulting efficiencies are evaluated. These statistical formulations can be used by the EM designers for developing optimal models, which overcome the impact of fabrication tolerance.
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25

Panachakel, Jerrin Thomas. "Machine Learning for Decoding Imagined words and Altered State of Consciousness from EEG." Thesis, 2022. https://etd.iisc.ac.in/handle/2005/5764.

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In the first part of the thesis, the results of our studies on the classification of phonological categories in imagined words are presented. We have investigated whether there are any statistically significant differences in the mean phase coherence values in six cortical regions when the participants imagined uttering nasal and bilabial consonants. The cortical regions considered are prefrontal, premotor, motor, somatosensory, sensorimotor and auditory cortices, which are normally involved in speech production. We have observed statistically significant differences in the MPC values in all the six cortical regions in the beta band and in the motor cortex alone in the gamma band. The results obtained support the dual stream prediction model for imagined speech. Further, we have tried to classify the speech imagery EEG epochs based on the phonological category of the prompt using a shallow neural network. We have obtained an accuracy of 84.9% in the classification task when beta band MPC values are used. This is around 12% higher than the benchmark result on this dataset. The accuracies of our model dropped to 59.0% and 69.1%, respectively when only alpha or gamma band MPC values are used. The fact that EEG carries correlates of the phonological categories of the imagined phonemes can help in designing better prompts for a speech imagery-based BCI system. In part two of the thesis, we have investigated as to whether we can classify the imagined prompt from the EEG recorded during speech imagery. For this, we have developed three different architectures. All these architectures address the problem of lack of sufficient training data. In the first one, which we call the CSP-based architecture, the issue of limited training data is addressed by treating the features extracted from selected EEG channels as distinct inputs to the classifier. Common spatial pattern (CSP) is used for channel selection. The primary classifier is a deep neural network (DNN) with four hidden layers whereas the secondary classifier is a majority voting classifier. The second model, which we call the TL-based architecture handles the problem of limited training data by using data augmentation and transfer learning (TL). In this architecture, MPC and MSC values from the alpha, beta and gamma bands are arranged as a 3D data, and are input to a ResNet50-based classifier, where ResNet50 is used as a fixed feature extractor. The third one, which we call the LSTM-based architecture employs overlapping window-based data augmentation to increase the amount of data, which is possible because the ASU dataset involves repeated imagination by the subjects. The LSTM-based architecture uses CSP for feature extraction, linear discriminant analysis (LDA) for dimensionality reduction and long short-term memory (LSTM) network as the primary classifier and a majority voting classifier as the secondary classifier. All the three architectures have achieved above chance-level accuracies on the publicly available ASU speech imagery EEG dataset. The TL-based and the LSTM-based architectures have achieved average accuracies of 92.8% and 85.2%, respectively, for the classification of "short-long" words, which are better than the state-of-the-art. Although the LSTM-based architecture has lower accuracy than the TL-based architecture, the former can classify a 5 s EEG epoch in less than 110 ms, making it a suitable algorithm for online BCI systems. We have also performed ablation studies to identify the optimal number of EEG channels in the case of the CSP-based architecture and the optimal EEG frequency band in the case of the TL-based and the LSTM-based architectures. The optimal number of EEG channels in the case of CSP-based architecture is nine whereas the optimal EEG band for both the TL-based and the LSTM-based architectures is the gamma band. In the last part of the thesis, we have proposed three architectures for classifying the altered state of consciousness during Rajayoga meditation from the resting state. Classification of Rajayoga meditation is challenging since it is probably unique in that the practitioners meditate with their eyes open. The first model, which we call the CSP-LDA architecture, uses CSP for feature extraction and LDA as the classifier. The second one, which we call the CSP-LDA-LSTM architecture is similar to the LSTM-based architecture used for decoding imagined speech. The third model, which we call the SVD-DNN architecture uses singular value decomposition (SVD) for choosing the relevant subspace of the signal and DNN for classification. The best intra-subject classification performance of 98.2% is obtained using the CSP-LDA-LSTM architecture whereas the best inter-subject performance of 96.4% is obtained using the SVD-DNN architecture. Both these architectures are able to capture subject-invariant features and can be deployed for grading the depth of meditation and for classifying other altered states of consciousness such as disorders of consciousness and hypnosis.
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26

Kaka, Fiyanshu. "Numerical and experimental investigation of Process-Structure-Property relationship in Organic Photovoltaics." Thesis, 2020. https://etd.iisc.ac.in/handle/2005/4776.

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Organic Photovoltaics (OPVs) are considered to be potential contenders amongst the third-generation solar technologies. The primary reason for their popularity has been the possibility of applying various cost-effective solvent-based techniques for active layer deposition such as spin-coating, ink-jet and flexographic printing. The processing parameters influence the underlying Bulk-Heterojunction (BHJ) morphology and, subsequently, the device performance. Therefore, optimum OPV performance depends on understanding the Process-Structure-Property (PSP) correlation in organic-semiconductors. In this thesis, experiments were carried out on model P3HT:PCBM (donor-acceptor) system to study the effect of blend ratio between polymer (P3HT) and fullerene derivative (PCBM) as well as the influence of annealing time on device performance. However, since the optimization of the processing parameters, particularly for deriving active-layer BHJ morphologies with high efficiencies is non-trivial as the parameter space is large, the adoption of a theoretical framework becomes necessary. In the theoretical framework, we present an approach for deriving both the process-structure and structure-property correlations based on the diffuse-interface method. Herein, we derive process-structure correlations using phase-field simulations based on the Cahn-Hilliard formalism for modelling phase-separation. Utilizing the process-structure model, a range of morphologies as a result of processing parameters such as blend ratio, annealing time, and evaporation rate of solvent are generated. Thereafter, we derive the structure-property correlations again using a diffuse interface approach for calculating the electronic properties such as the efficiency, fill-factor, short-circuit current, and the open-circuit voltages for the simulated microstructures. Thus, using a combination of the process--structure and structure-property correlations, optimal compositions can be determined. Since donor-acceptor OPVs possess a limited absorption of the solar spectrum, and the addition of a ternary component with a complementary absorption spectrum addresses this issue, we carried out experimental studies on donor-acceptor-acceptor OPVs. Here, experiments exploring the effect of blend ratio on device performance were carried out on PTB7-Th, Coi8DFIC, and PCBM ternary system. The experiments motivated the numerical studies wherein the PSP relationship in ternary OPVs was optimized using the above-mentioned theoretical framework. Further, in order to expedite the theoretical prediction, a robust and elegant data analytics model is built using dimensionality reduction techniques. This work is done in the broad overview of the Integrated Computational Materials Engineering (ICME) framework wherein the processing parameters are optimised by determining the process-structure-property relationships.
DST
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27

Roy, Kaustav. "Development of Piezoelectric Ultrasound Transducers for Novel Applications." Thesis, 2021. https://etd.iisc.ac.in/handle/2005/5698.

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Ultrasound is a scientific miracle with its magical contributions in almost all the branches of modern-day technology. It all started with the discovery of the ‘piezoelectric effect’ by the Curie brothers, who demonstrated electromechanical coupling in cane sugar, as a result of which, it was possible to generate electricity from a typical sugar crystal by straining it. This led to the dawn of piezoelectric ultrasound transducers, which revolutionized the entire way sound was produced till then. Comprehensive research followed these initial developments, which transcended the worlds of non-destructive techniques, medical diagnosis and prognosis, medical therapeutics, ranging and security, etc. The next stage of reformation in this research progression was written by the hands of the VLSI micromachining technique, which ushered the development of low-cost, low-powered, compact, and above all, ‘little’ transducers which can actually fit inside the smallest veins found inside the human body. These transducers are the present and the future of ultrasound and bear the fate of the next big technological change that the world is likely to witness in the upcoming years. In this doctoral dissertation, we construct piezoelectric ultrasound transducers and put them to various novel applications. We divide the thesis into three parts, with the first part describing the designing and making of piezoelectric micromachined ultrasound transducer (PMUT) and applying them to real-time fluid density sensing in the macro-scale. We have described the various effects observed in the special kind of experimental arrangement, which was created to sense fluid density by using the transmission of ultrasound. Such an arrangement is called PMUT-Fluid-PMUT (PFP) and was observed to successfully sense fluid density over a broad density range. In the second part of the thesis, we make a special kind of PMUT, which is capable of self-sensing, while getting actuated. We apply this technique to fluid density sensing in a single platform, thereby eliminating the need for a thorough transmission arrangement as described in the first part. We subsequently progress and integrate such self-actuation sensing PMUTs into microfluidic channels, thereby creating an independent device to handle and analyze fluid samples mechanically in small volumes. Such integration is called the PMUT-Microfluidic-Integration (PMI) and is suitable for sensing changes in the blood density in the microscale. In the final part of the work, we explore a different branch of medical ultrasound, known as photoacoustics. We start off by fabricating flexible bulk ultrasound transducers, which will conform to objects of any geometries and thereby image any targets present inside them. This is of significant importance in designing wearables for continuous human health monitoring applications by photoacoustically imaging the tissues underneath. Next, we roll on to making an optofluidic integration by using a pulsed laser and microfluidic channel, and we demonstrate the use of such a system to sense the concentration of a solute in a solvent. Finally, we fabricated a typical variant of a 32 channel PMUT array and demonstrated its application in photoacoustic imaging, thereby proving that PMUTs can function successfully as photoacoustic detectors, hence leading to the creation of portable bedside health monitoring systems based on photoacoustics. In summary, the work describes in a comprehensive manner the creation of both bulk and thin-film piezoelectric material-based ultrasound transducers and demonstrates some of their novel applications in both industry and biomedical diagnosis and imaging.
Ministry of Education, National Institutes of Health
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Dakappa, Shakthi Prasad. "Investigations on the Corona Degradation of Polymeric Insulating Samples." Thesis, 2018. https://etd.iisc.ac.in/handle/2005/4163.

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Insulators play an important role in the reliability and safe operation of EHV/UHV transmission lines. Recently several utilities in the country and elsewhere are using polymeric insulators for the high voltage transmission and distribution systems due to their advantages. Since, polymeric insulators are of recent origin and organic in nature, their long-term field performance is not yet fully understood. International standard organizations like CIGRE, IEC, IEEE etc, are currently working towards the development of methods for long term performance; some include resistance to corona, ozone, chemical attack, hydrophobicity etc, for the polymeric insulating samples. The present investigation focuses on two important aspects: (1) Investigations on the corona induced degradation on different polymeric samples under normal and due to different fog conditions. (2) Application of digital imaging techniques for the detection of corona discharges and its analysis. An experimental facility along with a new methodology is proposed and adopted for the corona induced degradation studies on polymer insulator examples. The investigations are conducted on different polymer samples for the normal and the effect of different fog environments, some interesting results are obtained, further the treated samples are analyzed using physicochemical analysis, it was found that corona treated samples present higher hydroxylation, detection of nitric acid on sample surface which cause brittle fracture of fiberglass rod of the insulator, loss of Alumina trihydrate (ATH) filler, decrease in tensile strength on theinsulator samples.It was observed from experimental investigations that corona activity isone of the important phenomena responsible for the degradation of polymeric insulators. Hence, periodic inspection of polymeric insulators and the detection of corona discharges are important in condition monitoring. Hence an attempt is made to analyze and quantify the corona discharges using image processing techniques. A color threshold based corona plasma extraction algorithm is adopted. A luminance component ‘Y’parameter is computed from the processed corona images and is shown to correlate well with the corona released power. A physical model is proposed to explain the phenomenon and is quantified by adopting the line‐detection based image processing algorithm to compute the corona spread angle. It is observed that material degradation caused by the corona with less spread angle is higher in comparison to the wide spread corona. To overcome the limitation of conventional images,high dynamic range imaging technique is employed to accurately identify the location of corona stress on the polymeric samples. Interestingly, it is observed that the correlation between the degradation patterns estimated by the corona images and Fourier transform infrared spectroscopy(FTIR) show that HDR image provides the true correlation, whereas the conventional images resulted in pseudo‐correlation.
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29

Daniel, Sanil K. "Development of an Automated Test & Parameter Extraction Tool for Active Matrix Displays." Thesis, 2019. https://etd.iisc.ac.in/handle/2005/5050.

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Active matrix backplanes used in at panel displays are prone to line faults (opens and shorts) and pixel faults (poor transistor performance and parameter variations). These faults could occur during fabrication or during operation. To improve the yield of a process line, it is important that the backplanes be free of most forms of error. Thus the testing of backplanes is a key aspect in the manufacturing chain. To address this, several system have been reported using different methodologies. However most of the technologies can only identify hard faults such as opens and shorts. Moreover many techniques require the presence of the photonic system (eg:- light emitting diode or liquid crystal display) integrated with the backplane. This thesis discuss the development of a system that not only identi fies hard line faults but also soft faults such as transistor parameter variations. The test system performs an electrical measurement in the back plane. This thesis primarily discusses the technique for testing LCD back plane. The LCD backplane pixels consists of a switch capacitor, with the TFT acting as the switch. The general algorithm of testing is to write data in the pixel capacitor and read out the charge for a given gate voltage applied to the pixel select TFT. This process is repeated for a sequence of gate voltages. This results in the measurement of the time averaged current(due to the discharging pixel capacitor) vs. gate voltage characteristics for each pixel select switch of the display. The key parameters of the TFT can be extracted from this plot. The thesis discussed the design and the development of the test system. Experiments of back plane testing are performed on amorphous silicon TFT arrays and experimental results and parameters extracted using the developed test system are compared with measurements made on the TFT using the Keithley 4200 semiconductor parameter analyser. The parameters extracted by the test system corroborates well with the parameters extracted by the Keithley 4200. While this thesis illustrates the technique for a switch-capacitor circuit (LCD driver), it also discuss how the technique can be adapted to light emitting diode (LED) based display pixel architectures
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Mannem, Renuka. "Speech task-specific representation learning using acoustic-articulatory data." Thesis, 2020. https://etd.iisc.ac.in/handle/2005/4482.

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Human speech production involves modulation of the air stream by the vocal tract shape determined by the articulatory configuration. Articulatory gestures are often used to represent the speech units. It has been shown that the articulatory representations contain information complementary to the acoustics. Thus, a speech task could benefit from the representations derived from both acoustic and articulatory data. The typical acoustic representations consist of spectral and temporal characteristics e.g., Mel Frequency Cepstral Coefficients (MFCCs) Line Spectral Frequencies (LSF), and Discrete Wavelet Transform (DWT). On the other hand, articulatory representations vary depending on how the articulatory movements are captured. For example, when Electro-Magnetic Articulography (EMA) is used, recorded raw movements of the EMA sensors placed on the tongue, jaw, upper lip, and lower lip and tract variables derived from them have often been used as articulatory representations. Similarly, when real-time Magnetic Resonance Imaging (rtMRI) is used, articulatory representations are derived primarily based on the Air-Tissue Boundaries (ATB) in the rtMRI video. The low resolution and SNR of the rtMRI videos make the ATB segmentation challenging. In this thesis, we propose various supervised ATB segmentation algorithms which include semantic segmentation, object contour detection using deep convolutional neural networks. The proposed approaches predict ATBs better than the existing baselines, namely, Maeda Grid and Fisher Discriminant Measure based schemes. We also propose a deep fully-connected neural network based ATB correction scheme as a post processing step to improve upon the predicted ATBs. However, articulatory data is not directly available in practice, unlike the speech recording. Thus, we also consider the articulatory representations derived from acoustics using an Acoustic-to-Articulatory Inversion (AAI) method. Generic acoustic and articulatory representations may not be optimal for a speech task. In this thesis, we consider the speech rate (SR) estimation task, useful for several speech applications and propose techniques for deriving acoustic and articulatory representations for the same. SR is defined as the number of syllables per second in a given speech recording. We propose a Convolutional Dense Neural Network (CDNN) to estimate the SR from directly given as well as learnt acoustic and articulatory representations. In the case of acoustics, the SR is estimated directly using MFCCs. When raw speech waveform is given as input, one-dimensional convolutional layers are utilized to estimate the SR specific acoustic representations. The center frequencies of the learned convolutional filters range from 200 to 1000 Hz unlike MFCC filter bank frequencies which range from 0 to 4000 Hz. The task-specific features are found to perform better in SR estimation compared to the MFCCs. The articulatory features also help in accurate speech rate estimation since the characteristics of articulatory motion significantly vary with the changes in the SR. To estimate the speech rate-specific articulatory representations, both the AAI and CDNN models are jointly trained using a weighted loss function which includes loss for the speech rate estimation and loss for estimating articulatory representations from acoustics. Similar to the acoustics case, the task-specific articulatory representations derived from acoustics perform better in speech rate estimation compared to the generic articulatory representations. Even though the task-specific articulatory representations derived from acoustics are not identical to the generic articulatory representations, both demonstrate low-pass characteristics. The CDNN based approach using both generic and learnt representations performs better than the temporal and selected subband correlation (TCSSBC) based baseline scheme for speech rate estimation task.
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31

Ghosh, Rituparna. "Frequency and Temperature Dependent Mechanical Behavior of Three-Dimensional Cellular Structures of Graphene and Carbon Nanotubes: Role of Microscopic Interfacial Interaction." Thesis, 2018. https://etd.iisc.ac.in/handle/2005/4878.

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Three dimensional (3D) cellular structures with high mechanical strength and stability are recently proven to provide a crucial platform for multifunctional application in various fields namely biomedical, soft robotics, actuation, sensing, supercapacitor, etc. For example, materials used for aerospace or automotive engineering require strong but lightweight structures with shock absorbing property to withstand any harsh mechanical vibrations. In this regard, graphene and carbon nanotubes (CNT) based 3D cellular architectures such as foam, hydrogels, aerogels, sponges and layered structures have attracted worldwide attention due to their promising mechanical properties. Structural interconnectivity along with additional advantages such as light weight, high porosity, large damping factor, high mechanical stability and compressibility have enabled these structures to serve as nanoscale building block for applications across multifunctional domains. However, there is always a trade-off between mechanical strength and energy absorption capability that leaves a vast scope to modulate the mechanical properties of 3D architectures, which are lightweight but mechanically strong, applicable for high performance and robust shock absorbers and actuators. The thesis focuses on the development of 3D cellular structures with two-dimensional graphene and one-dimensional CNT as building blocks and evaluation of the impact of microscopic interfacial interaction on compressive behavior under various physical conditions. Cellular structures were fabricated using graphene and CNT with an interface with polydimethylsiloxane (PDMS) polymer (a flexible supporting material). Detailed dynamic and quasi-static experiments were performed to gain insight into the macroscopic mechanical performance. Graphene-based 3D cellular structure (graphene foam) comprised of both graphene and polymer, demonstrated an enhancement in the mechanical strength, where both peak stress and storage modulus doubles as compared to pristine PDMS foam. Moreover, frequency dependent mechanical behavior further revealed an enhancement in the storage modulus and tan delta with the increase in driving frequency. Strain rate independent, highly reversible compressibility were measured up to several cycles demonstrating high mechanical stability. The study elucidated that the interaction between graphene and polymer plays a crucial role in enhancing the thermo-mechanical properties of the cellular structure. Furthermore, mechanical behavior of 3D graphene hydrogel revealed temperature and frequency dependent compressive behavior. The stiffness of the hydrogel was further tailored through encapsulation of iron-oxide nanoparticles to achieve an extraordinary enhancement in storage modulus (450%). The presence of encapsulated water within the hydrogel network also contributed largely to the enhanced mechanical strength. Moreover, CNT cellular structure with polymer interface revealed an interesting correlation between CNT-CNT interaction and its energy absorption capability. CNT network within the cellular structure primarily has two modes of interactions, namely short-range interaction (nodes) and long-range interaction (bundles). It was observed that the applied load on the structure was distributed through both the interactions, where nodes help in achieving high mechanical strength whereas bundles are responsible for energy absorption. The study reveals that unlike traditional foams, both the mechanical strength and the energy absorption enhanced simultaneously by 790% and 840% because of higher degree of CNT-CNT interactions. The finite element simulation showed that the individual CNT-CNT interaction plays a key role in modulating both the strength and the energy loss within the structure. A practical application of 3D structure is demonstrated by fabricating an outperforming actuator based on tri-layer structure of CNT, PDMS and cellulose polymer. The actuator utilizes the large mechanical flexibility of the structure showing an efficient conversion of electrical stimuli into mechanical motion. An actuation up to 14 mm was measured at a small input power density of 35 mW mm-3. Such actuation amplitude is nearly an order of magnitude higher than previously reported CNT-polymer based actuators. Moreover, the actuator showed a large load-handling capability, which was almost 25 times higher than the other thin-film based actuators reported earlier. The actuation performance was monitored under both dry as well as moist environment and demonstrated its suitability for applications in microrobotics, artificial muscle, microsensors, microtransducer, micromanipulator, microvalves, etc.
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32

Verma, Kanchan. "Opportunistic Beamforming and Asymptotic Throughput Analysis of Hybrid Analog-Digital mmWave Multi-User MIMO Systems." Thesis, 2022. https://etd.iisc.ac.in/handle/2005/5864.

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In this thesis, we address the problem of large training/feedback overhead and the requirement of computationally intensive algorithms to determine the phase angles of the analog precoder for downlink data transmission in hybrid analog-digital (A-D) multi-user (MU) millimeter wave (mmWave) systems. We investigate the use of opportunistic beamforming (OBF) using a dumb analog precoder as a solution to these issues. The OBF based schemes work as follows. The BS transmits a known pilot symbol over a random analog precoding vector. Using this, all the users in the system estimate their effective channels, and the best user efficiently feeds back its SNR to the BS, e.g., using a timer-based scheme. Then, the BS schedules the best user using the chosen analog precoding vector. Since the randomly chosen precoding vector is likely to be optimal to a subset of the users, and since the best user is selected in each time slot, deep fades at any given user are avoided, and the overall system throughput improves. Note, also, that this scheme requires very little feedback and no optimization of the analog precoding vector is necessary. This thesis has two parts. In the first part, we consider a single radio frequency (RF) chain at the base station (BS). We analyze two schemes of OBF, called fully random precoder (full RP) and channel structure-aware random precoder (CSA-RP). In the full RP scheme, we use random phase angles across the antenna array. In the CSA-RP scheme, we consider the use of structured random beams, where the phase angles of the analog precoder are chosen so as to have the same structure as the array response of the geometric channel model of mmWave systems. For the CSA-RP scheme, we derive the asymptotic scaling laws of the average throughput as a function of the number of users, number of antennas, and the SNR, using extreme value theory, as the number of users gets large. Our simulation results show that the second scheme achieves near-optimal throughput, i.e., close to that achieved using coherent beamforming with best user selection (called the maximum rate baseline (max-rate BL) scheme, since the user obtaining the maximum rate is scheduled to be served), via opportunistic selection among fewer users in the system compared to the first scheme. Next, we use M pilot symbols with M different random orthonormal analog precoding vectors instead of a single pilot symbol, to further reduce the number of users required to obtain near-optimal throughput. We derive the scaling law of the average throughput for OBF using M random orthonormal precoding vectors also. In the second part, we consider the case where the BS is equipped with multiple RF chains. We propose two schemes (called greedy high and greedy low) with OBF to simultaneously serve multiple users, with very low feedback overhead. The BS randomly generates an analog precoding matrix whose columns form a set of random orthonormal precoding vectors, and transmits pilot symbols using the precoding matrix. Each user measures the SINR for each of the random precoding vectors. The two schemes we consider differ in terms of how many beams are assigned to the users in each round of feedback: the greedy high scheme entails a larger number of rounds of feedback compared to the greedy low scheme, but is purportedly better in its performance. Through simulations, we find that the two schemes offer nearly identical throughputs, and thus conclude that the greedy low scheme with lower feedback overhead is more attractive for practical implementation. Furthermore, we derive the average throughput scaling laws using extreme value theory when many users exist in the system for both schemes. The results in this thesis show that as long as there are a reasonable number of users in the system, OBF is an attractive, low-complexity, and low-feedback approach for practical implementation of MU mmWave MIMO communications
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33

Rajagopal, Ananthanarayanan. "Codes With Combined Locality and Regeneration Having Optimal Minimum Distance and Linear Field Size." Thesis, 2022. https://etd.iisc.ac.in/handle/2005/5931.

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This thesis presents error correcting codes in the setting of distributed storage. The codes presented in this thesis are optimal with respect to the minimum distance bound and have a finite field size which grows linearly with the block length of the code. Setting of Distributed Storage: In the current digital era, a very large amount of data is generated that needs to be reliably stored. This data is stored in distributed fashion, in a distributed storage system (DSS). To guarantee reliability, these DSSs need to speedily repair any node which is unavailable for use or has failed. In the past, triple replication was the standard used for ensuring reliability in a DSS. More recently, given the excessive overhead associated with triple replication, the use of erasure coding has become increasingly more frequent. In an $[n,k]$ erasure code, the file is first split into $k$ packets and $(n-k)$ redundant parity packets are then added, to form the erasure code consisting of $n$ packets or chunks. These $(n-k)$ parity packets are computed using a linear combination of the $k$ information packets. Erasure codes are excellent when it comes to data recovery but are inefficient when it comes to repairing a failed node. In a DSS the failure of a single node is the most common failure (98\% of the time), thus the repair of a failed node must be handled efficiently both to reduce the amount of traffic over the network associated with node repair as well as the number of helper nodes contacted during node repair. To overcome this hurdle, two new classes of erasure codes namely Regenerating Codes (RGC) and Locally Recoverable Codes (LRC) were introduced. RGCs aim to minimize the repair bandwidth (i.e., the amount of data needed for repairing the failed node) while LRCs aim to minimize the repair degree (i.e., the number of surviving or helper nodes contacted for repairing the failed node). Regenerating Codes In an RGC, the file of size $B$ over the finite field ${{F}}_q$ is encoded into $n\alpha$ symbols and stored across $n$ nodes where each node comprises of $\alpha$ symbols. RGCs satisfy two properties, the data-collection property and the node-repair property. The data-collection property requires the DSS to recover the original data corresponding to the file of size $B$, by contacting any $k$ out of $n$ nodes and downloading $\alpha$ symbols from each contacted node. The node-repair property requires the DSS to repair a failed node by contacting any $d$ nodes from the surviving $(n-1)$ nodes and downloading $\beta \leq \alpha$ symbols from each contacted node to reconstruct the failed node of size $\alpha$ while ensuring the data collection and node repair properties continue to hold. Based on the type of node repair, RGCs can be further sub divided into two categories, functional repair RGC (FR-RGC) and exact repair RGC (ER-RGC). In ER-RGC, the contents of the repaired node are the same as that of the failed node, while in FR-RGC, the contents of the repaired node need not be same as the failed node, the only condition being that the data collection and node repair properties continue to hold. In this thesis, we will restrict attention to the case of ER-RGC. For an $((n,k= ,d),(\alpha,\beta),B)$ RGC there exists a tradeoff between the sub-packetization level $\alpha$ of the RGC and the repair bandwidth $d\beta$ known as the storage repair bandwidth tradeoff. The two extreme points in the storage bandwidth tradeoff curve are of special importance as they correspond to minimum possible storage overhead and minimum possible repair bandwidth, respectively. The codes which minimize $\alp= ha$ are known as minimum storage regenerating (MSR) codes and the RGCs which minimize $d\beta$ are known as minimum bandwidth regenerating (MBR) codes. MSR codes can be shown to be example of maximum distance separable (MDS) codes having a vector code-symbol alpha= bet. Locally Recoverable Codes In this thesis we restrict our attention to Locally Recoverable Codes (LRC) over a finite field $\mathbb{F}_q$. Let $[n,k,d]$ denote a linear code having block length $n$ dimension $k$ and minimum distance $d$. In the case of an LRC, there is an additional parameter $r$, termed as the locality parameter $r$ and which indicates that an erased code symbol can be reconstructed by contacting a set of $r$ un-erased code symbols and $r$ is typically much smaller than the dimension $k$ of the code. In the context of distributed storage, one associates a data file with a collection of $k$ symbols over $\mathbb{F}_q$. To this set, an additional $(n-k)$ parity symbols are added and the resulting set of $n$ code symbols stored over $n$ nodes or storage units. The principle behind an LRC is that the $(r+1)$ code symbols corresponding to an erased code symbol along with the $r$ other code sy= mbols that are used to recover from erasure, form a nontrivial code on their own. Thus one may view each local code as the code that is obtained by restricting the parent code to the subset of $(r+1)$ code symbols involved in recovery from erasure. LRCs can be divided into two sub classes, information-symbol locality in which only the information nodes have locality $r$ and the more general case of all-symbol locality, in which any failed node has locality $r$. Locally Regenerating Code: Given that RGCs minimize repair bandwidth and an LRC minimizes the repair degree, a natural question that arises is whether it is possible to construct an error correcting code that minimizes both repair bandwidth and repair degree. Locally Regenerating Codes (LRGCs) are precisely such a class of codes. In an LRGC, the local codes are themselves RGCs. Contributions: The contributions of the thesis are two constructions of an LRGC, both of which are optimal in the sense of having largest possible minimum distance: • an explicit construction of an LRGC in which the local codes are MBR codes derived using the well-known product-matrix construction. Interestingly, it turns out that the construction also involves an LRC, one that is obtained by employing the Tamo-Barg (TB) construction of an all-symbol LRC. • an explicit construction of an LRGC for a restricted range of parameters in which the local codes are MSR codes corresponding to the MSR Clay code. Here again, the construction makes use of the TB construction of an all-symbol locality LRC. The resulting LRGC is optimal in two respects as it achieves with equality, upper bounds on both minimum distance and code rate. We note that while existing optimal LRGC constructions in the literature require field size that is exponential in the block length $n$, the code families presented in this thesis, require only linear field size.
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34

Nittala, Pavani Vamsi Krishna. "3D Packaging for Integration of Heterogeneous Systems." Thesis, 2018. https://etd.iisc.ac.in/handle/2005/4668.

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With several new applications getting developed around wearable technologies for Internet of Things (IoT), there has been a growing need for development of the miniaturized systems. Emerging applications in healthcare, structural monitoring, consumer accessories, etc are fuelling the need for these miniaturized hybrid systems. Such micro-nano systems will be enabled through the development of heterogeneous integration technologies that will allow co-packaging of several chips with different functionalities in a single vertical 3D stack. Therefore, the consumer electronics industry has initiated development of 3D integration of CMOS devices in vertical stacks which are electrically interconnected using thru-silicon-via (TSV) technology. This technology is however not suitable for stacks having a complex combination of GaN-HEMT’s, MEMS, microfluidics, optical devices and CMOS. Moreover, due to the cross-contamination issues, most of these devices are never accepted in the standard silicon CMOS foundries. To address these issues, we have developed innovative processing technologies that would allow 3D packaging by the post fab vertical stacking technique, suitable for the packaging industry. In the First Part of the thesis, we have developed processing technologies for the 3D stacking of the homogenous silicon systems. Using them, we have demonstrated a low temperature process to transfer MOS devices on ultra-thin silicon layers (1.5 μm) from a parent substrate to a foreign substrate or stack. In order to enable this transfer, we have analysed and resolved the associated stress issues. Furthermore, we demonstrate three-layer stacking of the ultra-thin silicon layers with functional MOSFET’s in each layer. We extensively characterize the changes in the device performance, which arise due to the transfer process. In the Second Part of the work, we have demonstrated an approach for stacking the III-nitride-on-Si HEMTs and Si-MOSFETs on to a copper substrate. The developed process flow offers a significant improvement in the device behaviour due to the transfer to a thermally conducting substrate like copper. The functional AlGaN/GaN epi-layer stack from the HEMT-on-silicon wafer is lifted-off and bonded to a copper substrate using novel Cu-In bond. Next, an ultra-thin silicon layer (~1.5 μm) with functional NMOS transistors fabricated in-house, on an SOI wafer are separated from the parent SOI wafer and then stacked over the GaN devices already bonded on the copper substrate, using cost-effective epoxy bonding approach. The devices are characterised to study the improvements in their performance. In the Third Part, we have demonstrated a 3D integration method for miniaturisation of hybrid systems. Using this 3D packaging technique, a fluorescence-sensing platform consisting of (i) a silicon photodetector, (ii) plastic optical filters, (iii) commercial LED and (iv) a glass micro-heater chip is demonstrated. We have resolved several fabrication challenges related to planarization, stacking and interconnection of these divergent chips. The above process flow developed in this work, can be scaled to stack a larger number of layers for achieving more complicated systems with enhanced functionality and applications. Finally, we have demonstrated interconnection methodologies using the nonconventional inkjet printing technique for via filling to enable identical die size stacking.
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35

Vinay, Kumar B. R. "Probabilistic Forwarding of Coded Packets for Broadcasting over Networks." Thesis, 2021. https://etd.iisc.ac.in/handle/2005/5532.

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Motivated by applications in sensor networks and the Internet of Things (IoT), in this dissertation, we consider the problem of energy-efficient broadcasting from a source node in a large dense network. Flooding, as a broadcast mechanism, involves each node forwarding every packet it receives, to all its neighbours. This results in excessive transmissions and thus a high energy expenditure overall. Probabilistic forwarding involves each node forwarding a received packet to all its neighbours with a certain probability $p<1$. While this mechanism reduces the number of transmissions, reception of a packet by a network node is not guaranteed. In the first part of this thesis, we propose a new broadcast algorithm which introduces redundancy, in the form of coded packets, into the probabilistic forwarding protocol to improve the chances of a network node receiving a packet. Specifically, we assume that the source node has $k_s$ data packets to broadcast, which are encoded into $n \ge k_s$ coded packets, such that reception of any $k$ of these coded packets by a network node, suffices to recover the original $k_s$ data packets. Our interest is in determining the minimum forwarding probability, $p$, for which the expected fraction of nodes receiving at least $k$ out of the $n$ coded packets is close to $1$. This we deem a ``near-broadcast''. The minimum forwarding probability $p$ yields the minimum value for the expected total number of transmissions across all the network nodes needed for a near-broadcast. The expected total number of transmissions is taken to be a measure of the energy expenditure in the network. In the second part of the thesis, the proposed algorithm is analyzed on deterministic graphs. More specifically, we analyze probabilistic forwarding with coded packets on two network topologies: binary trees and square grids. For trees, our analysis shows that for fixed $k$, the expected total number of transmissions increases with $n$. On the other hand, on grids, simulations show that a judicious choice of $n$ significantly reduces the expected total number of transmissions needed for a near-broadcast. It is somewhat counter-intuitive that introducing additional packets in a network can reduce the number of transmissions, but we are able to explain this phenomenon on grids using ideas from percolation theory and ergodic theory. This indicates a benefit in introducing redundancy in the form of coding into the probabilistic forwarding mechanism on grids, but not on trees. The benefit is in terms of a reduction in the overall expenditure of energy in the network to achieve a near-broadcast. Finally, in the last part of the thesis, we provide an analysis of the performance of the proposed algorithm on random geometric graphs (RGGs). RGGs are used widely to model ad-hoc network deployments. The randomness in the underlying network topology presents additional challenges in the analysis. Our treatment of the problem indicates a trend similar to that on grids: for dense RGGs, with a carefully chosen value of $n$, it is possible to reduce the expected total number of transmissions while ensuring a near-broadcast, in comparison to probabilistic forwarding with no coding. Our analysis for RGGs involves ideas from Poisson point processes, percolation theory and ergodic theory. The conclusion we draw from our analysis for trees, grids and RGGs, additionally supported by simulations on several other network topologies, is that on well-connected graphs, there is a benefit to introducing coded packets with probabilistic forwarding.
CISCO-IISc PhD fellowship, Center for Networked Intelligence
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36

Vikram, Bhagavatula Shiva. "Architectures for enhancing bandwidth and power scalability of optical frequency combs." Thesis, 2020. https://etd.iisc.ac.in/handle/2005/4994.

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Optical frequency combs (OFCs) have revolutionized high bandwidth communications, spectroscopy, arbitrary RF waveform generation, LIDAR (Light Detection and Ranging), and astronomical spectrograph calibration. OFCs have seen rapid development due to their significant role in sustaining and achieving progress in various research and industrial applications. Wide bandwidth, tunable repetition rate, and power scalability are the desired characteristics of versatile OFCs. However, the existing OFC architectures do not utilize the resources efficiently and cannot adapt to varying conditions, leading to limited bandwidth enhancement and power scalability. This thesis attempts to tackle the two main challenges of bandwidth enhancement and power scalability of optical frequency combs by developing innovative architectures using electro-optic modulation and nonlinear fiber optics. We initially demonstrate the platform of electro-optic modulator-based frequency comb generation. The platform allows tunable repetition rate and central wavelength, making it an optimal stage for controlling the comb properties. OFC spectrum equalization and extraction of arbitrary carriers are demonstrated. A back-to-back DWDM transmission experiment demonstrated a capacity of more than 0.5 Tbps over 7 channels. However, the limited bandwidth restricts the applications of the source. To enhance the bandwidth, we developed an architecture to manipulate the comb generator's temporal output using two frequency combs. The modified pulse shape enhances self-phase modulation-based bandwidth enhancement in nonlinear fiber and is verified through simulations and experiments. With a bandwidth enhancement of more than 17 times, the realized multiwavelength source acts as a complete carrier source for DWDM communications across the entire C-band without any missing carriers and is also suitable for spectroscopy. Though bandwidth enhancement is realized, the carriers are not phase-locked, limiting the applications of the source. Further, the generated pulse profile need not always be the optimal profile for bandwidth enhancement. To realize robustness in bandwidth enhancement of phase-locked carriers, we adaptively optimize the spectral phase of the EO frequency comb to generate the optimal pulse profile. The adaptive optimization is performed using computer-controlled closed-loop automation. The control loop monitors the bandwidth enhancement after the nonlinear fiber and perturbs the EO comb pulse shape through a Fourier pulse shaper. The pulse shape optimization is tested under various perturbations to realize robust bandwidth scaling, with a record figure of merit of 4.86. The pulse profiles were analyzed using an in-house built zero-delay spectral shearing interferometer. Further, sub-picosecond pulses (0.73 ps) at a very high repetition rate (25 GHz) are generated from the optimized spectrum. The flexible, adaptable, robust OFC source is an optimal solution for high bandwidth optical communications through super-channels, optical sampling, low phase noise arbitrary RF waveform generation, and LIDAR apart from DWDM and spectroscopy. The OFCs still lack significant power scalability, mainly limited by stimulated Brillouin scattering (SBS). The linewidth of the source laser is broadened to realize this. Continuous linewidth tuning over an extensive range is required to balance the required power scaling and coherence degradation. Initially, we demonstrated continuous linewidth tuning to >10 GHz at 1064 nm, through phase modulation with a white noise source, whose power and bandwidth are controlled. The upper limit on the tuning range is due to the phase modulator's EO bandwidth and power handling limitations. Next, we further scale the noise phase modulation (and thus the tuning range) through an architecture based on four-wave mixing of noise broadened pumps. Linewidth scaling of up to 40 GHz (10 times the pump linewidth) is demonstrated in C-band. Though line broadening improves power scalability, the improvement is subnormal. The subnormal improvement is due to the significant power present at the Stokes frequency in the line broadened laser. The power at the Stokes frequency seeds the SBS process through reflections and lowers power scalability. Power at the Stokes frequency in the line-broadened spectrum is reduced with a novel modulation technique combining sinusoidal and noise phase modulation. This technique shapes the line broadened spectrum to have a rapid roll-off slope away from the carrier, with improved flatness near the carrier. The modulation scheme allows improved power scalability in comparison to noise phase modulation for a given linewidth. The line broadening architectures can be cascaded with the comb synthesis architectures to generate many seed lasers for spectral beam combining. All the architectures demonstrated in this work can be translated seamlessly across various wavelength regimes with equivalent components. This work is envisioned to direct innovative techniques in the development of robust optical communications and beam combining systems apart from strongly influencing the fields of LIDAR and arbitrary RF waveform synthesis in existing and emerging wavelength regimes.
Ministry of Electronics and Information Technology
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37

Deekshith, P. K. "Information Rates over Point-to-Point and Multi-user Wireless Channels with Energy and Delay Constraints." Thesis, 2022. https://etd.iisc.ac.in/handle/2005/5880.

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In this thesis, we consider communication systems having energy, delay and reliability constraints. We characterize optimal communication rates achievable over these systems. First we consider point-to-point communication setting. In this context, first, we characterize achievable rates for an energy harvesting point-to-point channel with additive Gaussian noise. These rates are shown to be close to the optimal rates under various assumptions on the system architecture. Next, we consider a non-energy harvesting, point-to-point block fading wireless channel with Gaussian noise, subjected to canonical peak and average power constraints. We characterize lower and upper bounds on the maximal channel coding rate with channel state information at the transmitter and the receiver, at a given codeword length and average probability of error. The bounds characterize back-off from the water-filling capacity in the finite block length regime. Subsequently, we extend the finite block length results derived for the non-energy harvesting channel, to the case where the transmitter is energy harvesting. Next, we consider multi-user communication scenario. In this setting, first, we consider a Gaussian multiple access channel with energy harvesting transmitters. We obtain the capacity region of the channel with transmitters having infinite energy buffer. In addition, with transmitters assumed to have finite energy buffers, we characterize achievable rate regions. Next, we obtain inner bounds to the ergodic capacity region of a block fading Gaussian multiple access channel, with finite codeword length, non-vanishing average error probability and peak power constraint on the codewords. Subsequently, we consider a fading Gaussian broadcast channel under the assumption that both the transmitter and the receivers harvests energy and the receivers treat the transmitter as a radio frequency energy source. This corresponds to the paradigm of simultaneous wireless information and power transfer. In this scenario, we characterize the fundamental limits of simultaneous wireless information and power transfer under a minimum-rate constraint. Finally, we consider an energy harvesting, fading Gaussian multiple access channel and the receivers treat transmitter as an radio-frequency energy source. In this setting as well, we characterize the information theoretic limits under a minimum-rate constraint at each user.
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38

Arun, S. "Continuous-Wave Supercontinuum Generation using Cascaded Raman Fiber Lasers." Thesis, 2018. https://etd.iisc.ac.in/handle/2005/4888.

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This thesis explains architecture and techniques to generate high power, CW supercontinuum laser sources using standard Silica fibers as the nonlinear medium, pumped using high power CW Yb doped fiber lasers. Unlike the pulsed supercontinuum sources, the CW supercontinuum sources offer high average powers leading to spectacular power spectral densities at the output and can be realized at lower costs, in an all fiber architecture, which makes the system more compact and favorable towards power scaling. We have demonstrated a high power, all-fiber, wavelength tunable, fiber laser source that can operate in the L-band region (1.5-1.6 um), based on 6th order cascaded Raman amplification scheme, which can generate ~24 W of output power and is widely tunable from 1560-1590 nm. Using this laser we could pump the HNLF to generate a supercontinuum of ~700 nm bandwidth to powers as high as 35 W which is nearly double the output power than what has been previously demonstrated. To enhance the bandwidth and scale the output power, we have demonstrated a simple but highly impactful solution which uses the standard telecom fiber as the nonlinear medium. The supercontinuum generation module we demonstrated, is essentially a high efficiency cascaded Raman converter, which can take any CW, high power Ytterbium-doped fiber laser as the input and generate an octave spanning supercontinuum with an average power of ~34W, spanning over 1000nm (>1 octave) from 880nm to 1900nm at an efficiency of ~44%. The supercontinuum source exhibited excellent spectral and temporal stability for an extended duration of operation (>1 hour). The most highlighting result reported in this thesis is the record high output power that has been demonstrated from a CW supercontinuum so far. Using the recently proposed nonlinear power combining architecture we could leverage the output power (limited by available pump power) from the telecom fiber based octave spanning, CW supercontinuum. This involves nonlinear spectral power combining of outputs from multiple, independent, Yb lasers operating at different wavelengths as the pump sources, to generate supercontinuum at an efficiency of ~44% with a spectacular PSD of >3mW/nm from 850nm-1350 nm and an impressive PSD of >100mW/nm from 1350nm-1900nm at an output power of ~72 W.
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39

Singh, Kaumudi. "Addressing Energy and Performance Related Challenges in Networked Embedded Systems." Thesis, 2021. https://etd.iisc.ac.in/handle/2005/5229.

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Networked Embedded Systems comprise of spatially and functionally distributed nodes that are interconnected with one another and with the environment to achieve certain goals. The nodes are connected to one another through wired or wireless communication technologies. This thesis focuses on wireless networks and the challenges encountered in such systems. A node in a wireless network is usually energy-constrained, irrespective of its power source. Hence, schemes that judiciously utilize the energy available at a node to power its peripherals and execute various operations without any performance degradation are required. We have devised energy efficient schemes for data management, accessing network resources, and rendering location based services in a network. A sensor node in a network samples a parameter of interest, followed by transmitting the samples to an aggregator. We have devised an adaptive sampling algorithm that adapts the rate and resolution at which the parameter is sampled based on available energy and its characteristics. Furthermore, we have devised energy and data value-aware algorithms that encourage the selective transmission of data such that fidelity of data recovery is not adversely affected. These schemes not only improve energy utilization but also reduce traffic generated by a node in the network. Before data can be transmitted, nodes are required to perform handshakes on the control channel so that they can access resources for data transmission. The energy consumed while performing these handshakes is often not examined as most of the handshakes are performed only a limited number of times. However, delays in these handshakes affect the ensuing data transmission. To this effect, we have proposed a \Device Registration" algorithm that provides quick access to the Contention Free Period (CFP) resources in the beacon-enabled mode of IEEE 802.15.4 technology. The algorithm can be implemented with minor modi cations to the parameters of the standard and allows the nodes to transmit their data promptly. We have also studied IEEE 802.15.4e-TSCH technology and proposed a \Sparse Beacon Advertisement" algorithm for beacon scheduling so that nodes can join a network in quick time, even when very few beacons are being advertised in the network. Both these schemes not only promote fast access to network resources but also reduce the energy consumed by nodes in accessing these resources. Finally, we have studied the performance of location-based services when applied to asset localization in a space-constrained environment. Radio Frequency Identi cation (RFID) technology has been studied for localization due to its batteryless operation. We have constructed two different reader-antenna setups for tag interrogation and have employed these setups to track and localize assets in different scenarios. We have studied the effect of tag orientation and placements on the measurements collected from the tags and have utilized the fi ndings to track fi rst responders in a corridor. We have also devised methods to localize the tags with sufficient accuracy in scenarios where we collect sparse tag data. We observed that the accuracy of localization depends signi ficantly on the quality as well as the quantity of tag reads. Next, we have addressed the localization of life safety vests, which are equipped with RFID tags, in an aircraft and have devised mechanisms to obtain accurate 2D location information of all the vests present in the aircraft.
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40

Garud, Meera. "Cricket Inspired micro Speakers." Thesis, 2019. https://etd.iisc.ac.in/handle/2005/4585.

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MEMS technology has ushered in a new era of miniaturized sensors and actuators. Many smart devices and systems are being developed using these sensors. Home automation is now a widespread reality owing to the development of affordable miniature devices. Wearables like smart watches and point-of-care medical devices have brought positive changes in the healthcare industry. Also, at global scale, these sensors and actuators find their place in tracking weather changes and remote sensing applications. Many of these micro and nano systems communicate with humans using electroacoustic devices. They can take in voice input, process it and give out voice instructions/suggestions using a system made of microphones and audio speakers. However, when we compare the sizes of all the different sensors and actuators with the size of an audio speaker, we see that audio speakers have not really achieved miniaturization. For example, in a standard smartphone a mini audio speaker is still 8 times larger in volume when compared with a MEMS microphone. An audio speaker is still struggling to get into micron size range. This further limits the extent to which a smart device can reduce in size. The size reduction of the audio speaker, if possible, will lead to an overall size reduction of smart devices. We inspect the intricacies involved in miniaturization of an audio speaker and explore a possible solution by combining silicon MEMS technologies with nature inspired design for the same. In this work, we present two unconventional approaches to build electrostatically actuated thin audio speakers. First, we present a bio-mimetic micro-speaker inspired by the sound production mechanism of field crickets. This design uses peripheral actuation unlike the usual full area actuation in the conventional electrostatic speaker designs or unlike the electrodynamic speaker designs where the diaphragm is directly actuated by magnet-coil partially covering the central area of the vibrating diaphragm. Also, as in the cricket’s sound production mechanism, we design to take advantage of the resonance. Our speaker essentially uses a silicon diaphragm created by etching out patterned cavities in the handle layer of an SOI wafer and controlled lateral etch of the buried oxide to create closely spaced top and bottom annular electrodes for peripheral actuation. These electrodes are used to drive the diaphragm with audio signal close to its resonance. The open cavity provides an incredible advantage in terms of increasing the pull-in voltage enormously. While we demonstrate the working of these micro-speakers with several audio signals, the development must continue with an array of such speakers for attaining a flat response over audible frequency range in order to make them commercially viable. The second novel design to build wafer thin loudspeakers is based on an accidental discovery we made during testing of the cricket inspired speakers. We demonstrate how two simple pieces of silicon stacked loosely together and actuated with appropriate electrical signal produce sound. The theoretical explanation is given behind the new design idea, whose foundation is electrostatic actuation. Also, a few initial results for the thin speakers developed with this design are presented
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41

Shankar, Bhawani. "Safe Operating Area Reliability of AlGaN/GaN High Electron Mobility Transistors (HEMTs)." Thesis, 2019. https://etd.iisc.ac.in/handle/2005/4606.

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Gallium Nitride (GaN) based high electron mobility transistors (HEMTs) are extensively considered for power switching and RF applications by the virtue of their unique properties. However, despite of its attractive performance/cost ratio, AlGaN/GaN HEMT suffers from poor reliability which limits its penetration in the ever-growing power device market. Therefore, reliability of AlGaN/GaN HEMT has become a topic of intense research. In last one decade, the long-term reliability of GaN devices, has been greatly studied in literature. However, the ability to withstand high power under extreme conditions and related safe operating area (SOA) concerns in GaN HEMT, including the failure mechanisms which determine its SOA boundary are still not clearly understood. This thesis aims to investigate devices under pulse stress conditions, the scenario which is more realistic to the practical power electronic circuits. Integrated electrical and mechanical stress characterization routines involving Raman/PL mapping and CL spectroscopy are used to understand the evolution of failure. SEM and TEM analysis of damaged regions provided physical insight into the underlying degradation phenomena. Distinct device behaviour of AlGaN/GaN HEMT is observed in high current regime with dependence on various design and technology parameters. Failure power, shows power law-type behaviour. Device degrades in cumulative manner attributed to deep level traps and the degradation is nicely correlated with the failure threshold. Increased voltage stress leads to defect generation and increased trap density in gate-drain region and carrier trapping leads to electric field shift and peaking towards drain edge. Non-uniform carrier trapping across the device width, triggers avalanche instability and lowers the SOA boundary. Avalanche instability is absent when carrier trapping is suppressed with sub-bandgap UV light. Device failed in gate-source region with carrier trapping and in absence of trapping (with UV exposure), failure occurred in gate-drain region. Stress accumulation at drain edge creates defects underneath drain contact. ON-state SOA is limited by tensile stress in the gate-to-drain region. SOA boundary in OFF-state was found to deteriorate due to compressive stress at drain-gate edge. Furthermore, different techniques are used to compensate for the trap induced field shift and restore SOA. Field shift can be can be tuned by gate recess depth. At optimum recess depth, field peaks at gate/drain are suppressed and relatively more uniform field distribution is achieved and improves SOA. To further improve SOA; polarization doping is added to AlGaN/GaN HEMT. Nearly a two-fold improvement in SOA is realized with PSJ. Failure in OFF-state occurs with gate stack degradation while ON-state failure happens due to hotspot formation at the PSJ edge and is thermally driven. SOA reliability of GaN HEMT is also be limited by premature failure of Schottky gate. Robustness of Schottky diodes with recesses and non-recessed anode is studied. Failure in forward mode is found to be assisted by generation of traps at the GaN/Schottky interface and Schottky barrier gradually turns Ohmic in nature. Failure under reverse mode, is observed to be governed by piezoelectric stress distribution in anode-cathode region. The stress induced trap generation is found to slow down when UV light is exposed, which is due to fast de-trapping of carrier. During pulse operation, the SOA of GaN HEMT is observed to shrink with time. Such shift in SOA boundary is not seen in Si power transistors. To investigate the root cause, devices are realized on commercially available AlGaN/GaN stack which is qualified for 10-year lifetime under DC conditions. Surprisingly, the stack fails faster under cyclic pulse transient stress posing serious limitation to device reliability and SOA. Interestingly, TTF was found to improve when pulse rise time was increased. In depth investigations are done using On-the-fly electrical, optical and materials characterization to understand the root cause. Rapid and more sever changes in device’s RON, ION and VTH are observed under pulse stress compared to that under DC condition. Drain to substrate vertical leakage hysteresis is found to increases with stress time PL mapping of drain-source region reveals increased defect generation introducing deep level traps. Highest PL intensity is observed near the drain contact. CL depth profiling reveals spatial location of newly formed defects, in GaN buffer in the drain contact vicinity. Raman map further confirms mechanical strain builds up at AlGaN transition-region/GaN interface in buffer region underneath the drain contact. Post failure cross-sectional SEM shows a catastrophic damage in GaN buffer, in vicinity of drain contact. HR-TEM of defected region reveals fine cracks near GaN buffer and AlGaN transition interface. However, under DC stress, damage is localized to device surface and no failure signature is observed in the bulk. An electrical shock-based fatigue phenomenon is found to be responsible for time dependent GaN Epi stack failure. A comprehensive failure model is proposed and is experimentally verified
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42

Bhagwan, Vaidya Girish. "Hardware-based Device Identification for Systems with Commercially Off-the-shelf Components." Thesis, 2022. https://etd.iisc.ac.in/handle/2005/5749.

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The Identity of an electronic device is a fundamental property, that bootstraps several applications such as authentication and traceability. For the purpose of device identification, conventional methods generate a unique number using techniques such as the chip’s wafer-ID and the XY location, or through a random number generator. More recently, Physically unclonable functions (PUFs) are emerging as an alternative to the conventional methods. PUFs exploit the inherent variations in the device characteristics occurring due to tolerances in the manufacturing processes. Our work has focussed on developing PUF-based identification methodologies for systems with Commercially-off-the-shelf (COTS) components. The inherent tolerances in the parameters available in these components have been exploited and mapped to perform their identification. The benefits of our mechanism are: (a) No custom PUF circuits have been used, (b) No requirement for manual hardware reconfiguration and power-cycling, (c) identification has been performed in real-time using simple software Application Programming Interfaces (APIs). In our first work, we have constructed an identifier that we call IoT-ID. This identifier is based on the variations in clock oscillators and Analog to digital converters (ADCs) that are commonly present in SoCs. We have demonstrated that IoT-ID is repeatable and unique. We have also shown the scalability of our approach through numerical simulations. In our second work, we have developed an Acoustic PUF that combines the Uniqueness signature of a device with its Position signature. The Uniqueness signature has exploited the clock tolerances in the devices, making the signature unclonable. The Position signature has been derived using Acoustic fingerprinting, giving a sticky identity to the device. Our evaluation has demonstrated the Uniqueness and Repeatability and further shows the use of temperature coefficients for device identification. In our third work, we have constructed a digital identifier by exploiting the inter-channel variance in errors for a multi-channel simultaneous sampling sigma-delta ADC. Such a device is common in power instrumentation such as Intelligent Electronic Devices (IEDs), and thus our methodology can be used to determine their identity. The suggested approach for identifier generation is resilient by construction, and is thus minimally impacted due to external factors such as voltage and temperature variations. We have also evaluated the randomness of the identifier to explore its suitability as a random key. General purpose input outputs (GPIOs) are the most common interfaces present in almost all microcontrollers, including low-end systems. By performing identification based on GPIOs in our fourth work, we have demonstrated the generic nature of our approach and its adaptability to a wide variety of microcontrollers. Since a large number of GPIOs are used for the construction of GPIO PUF, in this work, we have evaluated the redundancy among different components and presented a step-by-step method to identify the significant contributors. Different devices may map to the same identifier, causing a ‘collision.’ Our final work presents a framework that computes the collision probabilities based on inter-device and intradevice variations. In particular, we have derived the probability of none of the devices in collision and upper bound on the probability of there being L distinguishable devices. We have also computed the expectation of number of collision-free devices. The framework can be utilized to tune PUF attributes and compare various PUF implementations. Our research has established the feasibility of PUF-based device identification for systems with COTS components, paving the way for its wider adoption in deployments.
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43

Singh, Vikash Kumar. "Next Generation High Electron Mobility Transistor based on InGaN Quantum Well Channel." Thesis, 2019. https://etd.iisc.ac.in/handle/2005/4591.

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In past two decades and more, III-N based high electron mobility transistors (HEMTs) have generally used GaN as the channel layer. During this period, the quest for operating it at higher frequencies has resulted in the evolution of different heterostructures viz. Ga-polar AlGaN/GaN, AlGaN/AlN/GaN, InAlN/AlN/GaN, InAlGaN/AlN/GaN etc. as well as its N-polar variants. As a result of technological developments related to epitaxial growth and device processing, the performance of such HEMTs have shown significant progress in recent years and are approaching their performance limits. Such high frequency devices are the key components of many communication systems, defence systems and sensors operating at mm- and sub-mm wave frequencies. To meet such requirements, the operating frequencies can be increased even more by addressing the intrinsic delay (τ=Lgate/vsat) via increase in the electron velocity (vsat). In this context, InGaN is a promising material for the channel layer due to an increase in electron saturation velocity with InN fraction. As part of the present work, theoretical and experimental aspects required for the development of InxGa1-xN QW channel HEMTs with 0
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44

Goswami, Subhajit. "One-Shot Coordination of First and Last Mode Service in Multi-Modal Transportation." Thesis, 2020. https://etd.iisc.ac.in/handle/2005/4535.

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In this thesis, we propose a coordination of the rst and last mode connectivity in a multi- modal transportation system. In particular, we consider a one-shot problem wherein the passengers must be transported to or from a common location before a fixed deadline. We consider a macroscopic model, wherein we model a region of interest by a graph and consider flows of vehicles and volumes of passenger demand and vehicle supply. We then consider the problem of operator's profit maximization through optimal pricing and allocations of feeder vehicles given the knowledge of demand and supply distributions. Due to the speci c nature of the problem, we can first determine the optimal prices, subsequent to which the overall problem becomes a linear program. We first study the problem of one-shot feed-in". Given the large scale or scope of the problem and the need for a near real-time implementation, we rst seek to reduce the problem size. We propose an o -line route elimination algorithm that given a route- set returns another reduced" route-set by eliminating the routes that would never be used in an optimal solution irrespective of the demand and supply distributions. In simulations on a 24 node graph, our proposed route reduction algorithm reduced the number of optimization variables to nearly one third of the original number. Such a reduced route-set could then be utilized for faster computation of the optimal solutions of the feed-in problem when the demand and supply distributions are revealed. We then analyse the supply optimization problem for one-shot feed-in for a given demand distribution. In this problem, given a total supply, we are interested in optimally distributing the supply so as to maximize the operator's pro ts. With this formulation, we give the closed form expression of the \absolute maximum pro ts" of the operator over all supply distributions given the demand distribution. Next, we go on to show that the one-shot feed-out" problem is equivalent to the supply optimization problem for one-shot feed-in" and that similar results can be drawn using the equivalence analysis. Finally, we propose a simple framework for determining the prices. With this framework, we are able to analyse the cost of a rst or last mode feeder service relative to the best alternative transportation at which the feeder service becomes pro table. We demonstrate our analytical results with a suite of simulations, including a com- parative study of our model with respect to a macroscopic single-depot single-window routing problem.
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45

Majumder, Mriganka Ghosh. "Investigations on Five Level Inverter Schemes for Extending the Linear Modulation Range for Induction Motor Drives." Thesis, 2020. https://etd.iisc.ac.in/handle/2005/4881.

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Multilevel inverters (MLI) are the most preferable alternatives for medium to high voltage applications. It finds in many applications like traction drives, fans, blowers, HVDC and FACTs etc. It offers many attractive features over a conventional 2-Level inverter like lower voltage stress across the power switches, lower dv=dt across the load terminals, lesser EMI, lesser current and voltage total harmonics distortion (THD) etc. In contrast to a 2-Level inverter, the output of a MLI produces many discrete steps which makes the output voltage nearer to an ideal sine wave. This allows to reduce the switching frequency in a MLI which in turn control the losses in the power switches in a MLI. All these features make MLI superior compared to a 2-Level inverter in every aspect. In modern days, the application of MLI in the field of medium to high power AC motor drives becomes indispensable. There are many basic MLI schemes like Neutral Point Clamped (NPC), Flying Capacitor (FC) and Cascaded H-Bridge (CHB) inverters. These basic inverter scheme have many advantages and disadvantages over one another. To mitigate the disadvantages of the basic MLI schemes, hybrid MLI schemes have been presented in the literature. Also, the multilevel operation can be achieved using dual fed inverter schemes where two inverters are being fed from either side of the open-end load. With the increase in levels, basic MLI schemes require more number of components like clamping diode (in case of NPC inverters), floating capacitors (in case of FC inverters) and isolated DC-sources (in case of CHB inverter). The main objective behind developing a new MLI scheme is to optimize the component counts and also increasing the reliability. In this thesis, 5-Level reduced component count MLI schemes are proposed using a single DC link. Usage of a single DC-link in a MLI scheme enables easy four quadrant operation. Furthermore, the proposed schemes are more reliable compared to the basic MLI schemes. In case of a fault in any of the floating bridges, the schemes can still be operated at rated power of the drive. All the floating capacitor in these schemes are charged by the phase current by employing a hysteresis controller. This feature eliminates the need of an extra pre-charging circuit for the inverter. The floating capacitors are balanced in each PWM cycle which enables to use low value capacitor even for high power applications. For many safety critical applications it is extremely important that the reliability of electric drives to fulfil certain safety norms, especially when human lives, environmental damages or important economic losses are involved. Power electronic converters play an important role in electrical drives where certain fault conditions such as open- or shortcircuit can lead to potentially dangerous situations. In conventional multilevel inverters, abnormal condition arises when a fault occur in the power switch, gate driver or any of the discredited wire of the inverter. Reliable fault tolerant MLI schemes are usually achieved by providing overrated or more reliable components, using redundant design or adopting automatic changes in the control strategy in the event of partial failures in the converter. In this thesis, a 5-Level fault tolerant scheme is presented using reduced number of components compared to the basic MLI schemes. In the proposed scheme, if the fault occurs in any of the power switch in the floating bridges, the inverter can operate the drive without any interruption. After isolating the fault, the drive can be operated at the full rated power. The faulty part of the inverter can be isolated seamlessly during drive operation without introducing any transient in the phase voltage or current. This is possible because the the supplied power to the load remains same before the fault and after isolating the fault. Experimental results in the normal operating condition and the fault mode of operation are presented for the inverter scheme. A capacitor balancing algorithm is proposed using space vector redundancy and the capacitors are balanced in a PWM cycle during the inverter operation at steady and transient states. The operation of the inverter and the capacitor voltage balancing scheme is validated through experiments at different frequencies of operation of the inverter. The basic and most popular multilevel inverter schemes are NPC, FC and CHB. With increase in the number pole voltage level, the NPC inverter requires more number of clamping diodes. Also, the NPC inverter suffers from the neutral point balancing problem at higher modulation indices. The neutral point voltage control becomes more difficult with increase in the number of stacked DC-link capacitors. On the other hand, a FC inverter requires more number of floating capacitors. The balancing of all the floating capacitors by switching state redundancy requires a complex balancing algorithm. It also causes an increase in switching loss. In case of a CHB inverter, more number of isolated DC sources are required, which makes the system bulky and costlier. Also, the usage of multiple DC-links make the regeneration operation of the drive difficult. In this thesis, a reduced switch count (only using six switches per phase) 5-Level inverter scheme is proposed using a single DC link for OEIM drive. In this scheme two inverters are feeding OEIM from either side of the open stator windings. One inverter is a 3-Level FC inverter and this inverter is supplied with a DC-link. It is the source of the active power for the OEIM drive. The other inverter is a capacitor fed 2-Level inverter. The DC-link to the capacitor voltage in the floating bridge is maintained at a ratio of 4:1. The inverter scheme is controlled such that the 2-Level capacitor fed bridge acts as a switched capacitive filter. So the active power being fed by the bridge is zero which maintains the capacitor voltage irrespective of the load power factor. The generalization method is also presented in the thesis to extend the proposed scheme to a n-Level inverter. Another remarkable feature of the proposed scheme is the fault tolerant capability. In case of a failure in the capacitor-fed floating bridge, the OEIM drive can still be operated with the other inverter after bypassing the faulty bridge. To validate the proposed scheme, the simulation and experimental results are presented during the drive operation at steady and transient states. The fault tolerant capability of the inverter scheme is verified by performing experiments during the fault in the capacitor fed bridge. The faulty bridge is isolated from rest of the inverter without interrupting the drive operation. A conventional 2-Level or a multilevel inverter operating in linear modulation range in hexagonal space vector PWM, generates strong fundamental component and the harmonics at the side band of the switching frequency. To obtain more fundamental voltage at the phases, the inverter schemes need to operate in over-modulation region (i.e. generated peak phase fundamental voltage greater than 0.577 times DC-link voltage). Inverter operating in over-modulation region produces strong of component of fundamental with the lower order harmonics (i.e. 5th, 7th, 11th etc.). This lower order harmonics produces lower order torque pulsation in the motor shaft. Also, these harmonics causes extra losses in the motor windings and decreases the efficiency of the drive system. The maximum peak fundamental component can be obtained from an inverter during square mode of operation is 0.637 time DC-link voltage. At this time (i.e. six-step mode operation) inverter produces strong lower order harmonic components. In this thesis a hybrid MLI scheme is proposed to extend the linear modulation range to the full base speed irrespective of the load power factor without introducing lower order harmonics in the phase voltage. This is achieved by boosting the DC-link voltage with a charged capacitor. At the same time during PWM operation, the capacitor voltage is controlled by using redundant vectors. Linearly increasing the modulation range to the full base speed from 0.577 to 0.637 times DC-link voltage, is proposed for the first time in this work with PWM control throughout the modulation range irrespective of the load power factor. Due to linearization of the extended modulation range, the phase voltage does not contain any lower order harmonics. The inverter operation and capacitor balancing technique is analyzed thoroughly. The simulation and experimental results for unity and non-unity power factor loads are presented in steady and transient states. A 10kW, 50Hz, 415V, 3-phase induction motor is used and phase coil group end connections are connected appropriately to configure the machine as a 3-phase open-end winding induction motor. To perform experiments, open loop v=f and closed loop field oriented controllers are employed. 100A, 1200V IGBT semiconductor half-bridge modules (SKM-100GB-12T4) are used as the power switch for the inverter. Opto-isolated gate drivers (M57962L) with desaturation protection are used for driving the IGBT switches. The controller is implemented in a TMS320F28335 DSP. The analog signals (capacitor voltages and phase currents) are fed to the ADC channel of the DSP. The generated PWM pulses along with the capacitor voltage status and the current polarity are sent to a FPGA (Xilinx SPARTAN-3 XC3S200). Based on these data received from DSP, the FPGA produces the gate signals for all the IGBT switches. A dead time of 2 S is provided in between complementary gate pulses. With the advantages like reduced switch count, fault tolerant capability, single DC supply requirement, extension of linear modulation range, linear control of the inverter over the entire modulation range, lesser dv=dt stresses on devices and motor phase windings, inherent capacitor balancing, the proposed inverter schemes can be considered as good choice for medium voltage, high power motor drive applications.
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46

Nath, Debasish. "Total Electric Field due to an Electron Avalanche and it's coupling to Transmission Line Conductors." Thesis, 2018. https://etd.iisc.ac.in/handle/2005/4749.

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Transmission of bulk electric power from the generating stations to the load centres can be carried out only through high voltages transmission lines. One of the main issues in the design and maintenance of extra and ultra-high voltage transmission system is the phenomenon named corona. It is the local electrical breakdown of air in the vicinity of the line conductors and hardware. Even though the design and dimensions of these elements are made considering the corona onset, surface abrasions arising either during installation or operation can lead to intolerable corona. Apart from producing some insignificant chemical reactions and noticeable acoustic noise, they can be a significant source of electromagnetic interference. In the early days, this interference was of concern only to radio and television receptions, however, with extensive use of wide frequency bands for modern applications, it has assumed prime importance. The EMI due to the transmission line corona has been extensively studied and reliable empirical formulas have been proposed. The basis for all the earlier studies was the experimentally measured corona currents. This approach fails for new line designs especially with higher and higher voltages being employed due to non-availability of experimental data. A second approach assumed corona current to be injected into the line and subsequent analysis was carried out based on transmission line model. However, there were assumptions made on the mode of corona current injection into the conductor and the frequency range involved were also not adequate for the modern-day applications. Applicability of transmission line model for analysis is also questionable. From a theoretical perspective, the coupling of the field produced by corona to the conductor was hardly investigated and the total field produced by the corona itself was not quantified. In order to address these serious lacunae, the present work was taken up and it can be considered as the first leap towards the correct picturization, as well as, quantification of the problem. The field produced by the electron avalanche involves noticeable retardation effects. In the literature, only the field produced by arbitrarily moving point charge of fixed strength is given by the Heaviside-Feynman equation. On the contrary, the avalanche involves an arbitrarily moving charge of time varying strength at its head with trailing positive charge, which is almost stationary. Starting from the basics, an analytical expression for the electric field due to an arbitrarily moving point charge of time varying strength is derived which forms a fundamental contribution to Electrodynamics. This is extended to deduce an expression for the total electric field due to an avalanche for the very first time. Suitable validation of the expression is provided through numerical simulation of electric field integral equation. Corona discharge is a complex phenomenon having many distinctly different modes which differ in their visual, as well as, electrical characteristics. Innumerable electron avalanches contribute to the measured corona current with their space-charge acting as a moderator. Therefore, in order to model the corona on conductors, an indirect approach based on linear system theory is proposed. An equivalent spatio-temporal dipole distribution was obtained to produce the measured current on the conductor. The general expression derived for the isolated avalanche is extended for this purpose. Using the above, the means of induction, spatial decay rate of corona current in the close range, its propagation mode and field produced by both avalanche/equivalent dipole and that due to induced current in the conductor, have all been investigated and quantified. In summary, the contributions made in this work are more of fundamental in nature and would be of significant interest to the high voltage power transmission line, as well as, to the communication engineers.
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47

Karthik, Girija Ramesan. "Binaural Source Localization using subband reliability and interaural time difference patterns." Thesis, 2018. https://etd.iisc.ac.in/handle/2005/5189.

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Machine localization of sound sources is necessary for a wide range of appli- cations, including human-robot interaction, surveillance and hearing aids. Robot sound localization algorithms have been proposed using microphone arrays with varied number of microphones. Adding more microphones helps increase the localization performance as more spatial cues can be obtained based on the number and arrangement of the microphones. However, hu- mans have an incredible ability to accurately localize and attend to target sound sources even in adverse noise conditions. The perceptual organi- zation of sounds in complex auditory scenes is done using various cues that help us group/segregate sounds. Among these, two major spatial cues are the Interaural time difference (ITD) and Interaural level/intensity difference(ILD/IID). Popular algorithms, for binaural source localization, model the distributions of ITD and ILD in each frequency subband us- ing Gaussian Mixture Models (GMMs) and perform likelihood integration across the time-frequency plane to estimate the direction of arrival (DoA) of the sources. In this thesis, we use ITDs and show that the localization performance of a GMM based scheme varies across subbands. We pro- pose subband selection and subband weighting schemes in order to exploit the subband reliability for localization. Source localization results demon- strate that the proposed schemes perform better than uniformly weighing all subbands. In particular, the best set of weights closely correspond to the case of selecting only the most reliable subband. We also propose a new binaural localization technique in which templates, that capture the direction-speci c interaural time di erence patterns, are used to localize sources. These templates are obtained using histograms of ITDs in each subband. DoA is estimated using a template matching scheme, which is experimentally found to perform better than the GMM based scheme.
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48

Sil, Anomitra. "Structural, Magnetic and Electrical Studies of Multiferroic BiFeO3 and CuO Epitaxial Thin Films." Thesis, 2018. https://etd.iisc.ac.in/handle/2005/4368.

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The multiferroics are an important class of multifunctional material which simultaneously possess spontaneous ferroelectric polarization and magnetic ordering. If there exists a coupling between the ferroelectricity and the magnetic ordering, the materials are known as magneto electric (ME) multiferroic materials. The coupling between the magnetic and electric order parameters allows to tune the magnetic properties by an electric field and vice versa. Multiferroic materials are promising candidate for designing new spintronic devices, advanced sensors, high density ferroelectric memory devices and the emerging category of four-state memory devices. In multiferroic memory devices, data can be written electrically using its ferroelectric property and can be read magnetically without causing any Joule heating. Depending on the origin of ferroelectricity and magnetic orderings, multiferroics can be divided into two categories: type I and type II multiferroics. The type I multiferroics have different sources of ferroelectricity and magnetism. On the other hand, ferroelectricity is induced by the magnetic ordering in type II multiferroic materials and they have a strong ME coupling. However, even after extensive investigations into different families of compounds, a multiferroic material with high-enough polarization and magnetization suitable for practical applications has not been realized yet. In order to overcome this problem, composite multiferroics are designed by combining a ferroelectric and a ferromagnetic material. Recently composite multiferroics have drawn significant attention due to its enormous design flexibility which can be used for a wide range of applications. In this thesis, a thorough study of the structural, electrical, and magnetic properties of multiferroic BiFeO3 and CuO epitaxial thin films is carried out. BiFeO3 is a type I multiferroic material with a perovskite distorted rhombohedral (R3c) crystal structure. It is ferroelectric (TC = 1123 K) and G-type antiferromagnetic (TN = 643 K) at room temperature. Antiferromagnetism in BiFeO3 arises from the Fe sublattice having d5 configuration whereas ferroelectricity appears due to the directional orientation of 6s lone pair electrons of the Bi3+ ion. We observed that the crystal structure of BiFeO3 thin film gets altered depending on lattice misfit stress caused by the substrate which in turn modifies its magnetic properties through strong magneto-structural coupling. Furthermore, a signature of magneto-(di)electric coupling and exchange bias effect were observed between the BiFeO3 and SrRuO3 layers of a heterostructure. On the other hand, CuO is a type II multiferroic material where ferroelectricity is generated between 213 K and 230 K due to incommensurate spiral magnetic spin ordering along its crystallographic ‘b’ axis. We found that CuO thin films can be grown in the direction of its static polarization axis by proper choice of substrate and the temperature dependent magnetic properties of CuO thin films vary depending on its crystallographic orientations due to strong magneto-structural coupling. Chapter 1 provides a general introduction to various physical phenomena, such as ferroelectricity, ferromagnetism, antiferromagnetism, multiferroicity, magneto-electric coupling, and different magnetic interactions, like Dzyaloshinskii-Moriya interaction, and exchange bias effect. Basic concepts of impedance spectroscopy, dielectrics and perovskite structures are also discussed. General introductions of different materials, which are studied in the thesis, and the motivation of choosing them are incorporated at the end of the chapter. Chapter 2 contains the description of thin film growth technique and different steps of device fabrication process. Different characterization techniques, the instruments used for the characterizations and the working-principle of those instruments have been summarized in the chapter. Chapter 3 focuses on the variation of magnetic properties and crystal structure with the thickness of BiFeO3 thin films. BiFeO3 thin films of different thicknesses, ranging from 16 nm to 60 nm, were grown on (001) SrTiO3 substrate by PLD technique. Detailed x-ray diffraction studies show that the 16 nm, 20 nm and 30 nm films have “R-like” crystallographic phase with an out-of-plane lattice parameter of 4.06 Å whereas the 45 nm and 60 nm films have “R-like” and ‘T-like” crystallographic phases simultaneously. The “T-like” phase has an out-of-plane lattice parameter of 4.65 Å and a c/a ratio of 1.25, resembling a tetragonal crystal structure. Off-specular reciprocal space mapping and azimuthal φ scan show that the “T-like” phase deviates from an ideal tetragonal crystal structure by a monoclinic tilt. The occurrence of the “T-like” phase is associated with the formation of a very thin layer of parasitic Bi2O3 phase which appears in between two film-thicknesses of 30 nm and 45 nm and BiFeO3 grows in “T-like” phase thereafter. High lattice mismatch between Bi2O3 phase and BiFeO3 phase causes more distorted unit cell in “T-like” phase with a high c/a ration. Parasitic Bi2O3 phase appears because of slightly higher partial oxygen pressure used during the growth which prevents the formation of the parasitic ferrimagnetic γFe2O3 phase in the films. Moreover, our XPS studies confirmed that the films contain Fe3+ only without any trace of Fe2+ within a resolution of few atomic percentages and the magnetic signals measured in our experiments are entirely from the BiFeO3 phase. The saturation magnetizations of the films were found to increase with decreasing thickness. At room temperature, the saturation magnetization of a 16 nm-thick BiFeO3 thin film is 87 emu/cc but it goes down to 9 emu/cc when the thickness increases to 60 nm. Moreover, it was observed that the 16 nm thick film is magnetically more anisotropic in comparison to the 60 nm thick film and there is an apparent out-of-plane magnetic hard axis in the 16 nm film. Summarizing the results obtained from the films with different thicknesses, it can be concluded that the vanishing magnetic anisotropy is related to the structural transformation of the film. Chapter 4 provides a detailed study of the variation of magnetic properties of a BiFeO3 thin film with its crystal structure. BiFeO3 thin films of different thicknesses were grown on orthorhombic (001) NdGaO3 substrate. In-depth x-ray diffraction studies and off-specular reciprocal space mapping show that a 15 nm thick BiFeO3 film grows with monoclinic crystal symmetry (Cm) with an out-of-plane lattice parameter of 4.187 Å on the NdGaO3 substrate. The crystal structure was further verified by the TEM studies which showed a good agreement with the results obtained from x-ray diffraction studies. To probe the ferroelectric nature of the monoclinic BiFeO3 film, piezo response force microscopy was performed. It was found that the oppositely oriented ferroelectric domains have 180° phase contrast and a phase vs. voltage hysteresis loop gets generated when the domains are switched between two antiparallel directions. DC magnetic measurements at room temperature showed that the saturation magnetization of the 15 nm film with Cm crystal symmetry is as high as ~250 emu/cc. Experimental evidence confirmed that the films are free from all magnetic parasitic phases and the high saturation magnetization comes solely from the BiFeO3 phase. For comparative study, BiFeO3 films of similar thickness were deposited on (001) SrTiO3 under identical conditions which grew in “R-like” crystal structures. We saw that “R-like” BiFeO3 films have saturation magnetization 2.5 times lower (~100 emu/cc) than that of the film with Cm structure grown on NdGaO3. Our observation was further supported by density functional theory calculations which show that BiFeO3 has a ferromagnetic ground state in the Cm crystal phase. The theoretically obtained magnetic moment is 266 emu/cc which is very close to magnetization values found experimentally. Chapter 5 deals with the magnetic interaction and the magneto-electric coupling between the BiFeO3 and SrRuO3 layers of a heterostructure. BiFeO3/SrRuO3 heterostructures were grown on (001) SrTiO3 substrate by PLD technique. The ferroelectric nature of the top BiFeO3 layer was probed by out-of-plane piezo response force microscopy technique. Temperature dependent magnetization measurements of the heterostructure show a sharp ferromagnetic to paramagnetic transition at 160 K which arises from the bottom SrRuO3 layer. Therefore, the heterostructure is ferroelectric and ferromagnetic below 160 K. Magnetic interactions between the two layers were investigated by isothermal magnetic hysteresis loop (M-H) measurement in a SQUID magnetometer. The M-H measurements at 10 K showed a two-step magnetic hysteresis loop which implies that magnetic moments of the SrRuO3 layer get pinned by the magnetic interaction between the two layers. During magnetization reversal process, the pinned magnetic moments switch at a higher magnetic field and generate the second step of the hysteresis loop whereas the first step appears at a lower magnetic field during the switching of the free SrRuO3 moments. The amount of the pinned SrRuO3 moments depends on the thickness of the BiFeO3 layer as the magnetic properties of a BiFeO3 thin film are related to its thickness. Moreover, evidence of the exchange bias effect was also found in the heterostructure. Field-cooled M-H measurement shows that the second step of the hysteresis loop shifts in two opposite directions along the magnetic field axis depending on the polarity of the cooling field whereas the first step doesn’t respond to the cooling field. This confirms that the exchange bias effect is directly related to the pinned magnetic moments of the SrRuO3 layer. The total amount of pinned moment and hence the exchange bias effect reduces with increasing temperature and disappears completely above 100 K. A strong coupling between the electrical properties of the BiFeO3 layer and the magnetic properties of the SrRuO3 layer was also observed in the heterostructure. To carry out electrical measurements, interdigitated gold electrodes were fabricated on the BiFeO3 layer of the heterostructure by standard photolithography, magnetron sputtering, and lift-off procedure. Temperature dependent resistance and reactance measurements of the heterostructure at different frequencies show anomalies at ferromagnetic TC of the bottom SrRuO3 layer. Moreover, temperature dependent capacitance measurement at 0 T and at 5 T magnetic fields also showed anomalies near 160 K which indicate that the electrical properties of the heterostructure are affected by the magnetic transition of the SrRuO3 layer. Furthermore, impedance spectroscopy measurements were carried out at different constant temperatures and the corresponding Nyquist plots were fitted with an equivalent circuit model. Remarkably, the capacitance and resistance of the equivalent circuit corresponding to the BiFeO3 layer of the heterostructure, show anomalies at 160 K. Absence of any dielectric anomaly at 160 K in pure BiFeO3 confirms that the observed ones appear because of the magnetic phase transition of the bottom SrRuO3 layer. Therefore, the BiFeO3/SrRuO3 heterostructure has ferroelectric and ferromagnetic properties along with a strong magneto-electric coupling between the layers which can be a promising candidate for the composite multiferroic. Chapter 6 describes a correlation between the crystal structure and magnetic properties of CuO thin film. CuO thin films were grown on (001) SrTiO3, (110) SrTiO3, and (111) Si substrate with MgO buffer layers by PLD technique. On (110) SrTiO3 substrate, CuO thin films grow along [010] direction, which is the direction of ferroelectric polarization of CuO, but growth direction becomes [111] when (001) SrTiO3 substrate is used. The CuO film becomes polycrystalline when it is grown on (111) Si substrate. To find the in-plane epitaxial relations between the substrate and the two layers, cross-sectional TEM of the heterostructure grown on (110) SrTiO3 was carried out. HRTEM images showed very sharp interfaces between the layers indicating high-quality growth of the heterostructure. The epitaxial relations were deduced from the SAED pattern and the FFT pattern of the HRTEM images. Distinctly different temperature dependent magnetic properties were found for three differently oriented CuO films. Two anomalies at 213 K and 230 K are clearly visible in temperature dependent magnetization (M vs. T) plot of the heterostructure with (010) CuO film which are associated with the two magnetic transitions of CuO. On the other hand, no such anomaly was observed in M vs. T plot of the heterostructure with (111) CuO film. The heterostructure with polycrystalline CuO film shows a very weak magnetic anomaly at 230 K in its M vs. T plot. It can be concluded from our studies that the contrasting magnetic behaviours of these three heterostructures are due to the difference in epitaxial orientations of the CuO layers. Moreover, CuO thin films can be successfully grown in the direction of static ferroelectric polarization which is the ‘b’ axis of its monoclinic crystal structure. Chapter 7 concludes with general findings pertaining to various observations made in the different chapters. Prospects for future work are briefly outlined in this chapter.
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49

Dandu, Medha. "Tailoring optical and electrical characteristics of layered materials through van der Waals heterojunctions." Thesis, 2021. https://etd.iisc.ac.in/handle/2005/5623.

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Abstract:
The feasibility of isolation of layered materials and arbitrary stacking of different materials provide plenty of opportunities to realize van der Waals heterostructures (vdWhs) with desired characteristics. In this thesis, we experimentally demonstrate the tunability of optical and electrical characteristics of transition metal dichalcogenides (TMDs), a class of layered materials, using their vdWhs. Monolayer (1L) TMDs exhibit remarkable light-matter interaction by hosting direct bandgap, strongly bound excitonic complexes, ultra-fast radiative decay, many-body states, and coupled spin-valley degrees of freedom. However, their sub-nm thickness limits light absorption, impairing their viability in photonic and optoelectronic applications. The physical proximity of layers in vdWhs drives strong interlayer dipole-dipole coupling resulting in nonradiative energy transfer (NRET) from one layer (donor) to another (acceptor) under spectral resonance. Motivated by the high efficiency of NRET in vdWhs, we study the prospect of enhancement of optical properties of a 1L-TMD stacked on top of strongly absorbing, non-luminescent, multilayer SnSe2 whose direct bandgap is close to exciton emission of 1L-TMDs – MoS2 and WS2. We show that NRET enhances both single-photon and two-photon luminescence by one order of magnitude in such vdWhs. We also demonstrate a new technique of Raman enhancement driven by NRET in vdWhs. We achieve a 10-fold enhancement in the Raman intensity, enabling the observation of the otherwise invisible weak Raman modes. We establish the evidence for NRET-aided photoluminescence (PL) and Raman enhancement by modulating the degree of enhancement by systematically varying multiple parameters - donor material, acceptor material, their thickness, physical separation between donor and acceptor by insertion of spacer layer (hBN), sample temperature, and excitation wavelength. We also use the above parameters to decouple the effects of charge transfer and optical interference from NRET and establish a lower limit of the NRET-driven enhancement factor. We significantly modulate the strength of NRET by controlling the spectral overlap between 1L-TMD and SnSe2 through temperature variation. We show a remarkable agreement between such temperature-dependent Raman enhancement and the NRET-driven Raman polarizability model. We emphasize the advantages of using SnSe2 as a donor and elucidate the impact of various parameters on the PL enhancement using a rate equation framework. This NRET-driven enhancement can be used in tandem with other techniques and thus opens new avenues for improving quantum efficiency, coupling the advantages of uniform enhancement accessible across the entire junction area of vdWhs. Further, we study the role of NRET in photocurrent generation across vdWhs by designing a vertical junction of SnSe2/multilayer-MoS2/TaSe2. We report the observation of an unusual negative differential photoconductance (NDPC) behaviour arising from the existence of NRET across the SnSe2/MoS2 junction. The modulation of NRET-driven NDPC characteristics with incident optical power results in a striking transition of the photocurrent's power law from sublinear to a superlinear regime. These observations highlight the nontrivial impact of NRET on the photoresponse of vdWhs and unfold possibilities to harness NRET in synergy with charge transfer. The stacking angle between the individual layers in vdWhs provides another knob to tune their properties. The emergence of moiré patterns in twisted vdWhs creates superlattices where electronic bands fold into a series of minibands, inducing new phenomena. We experimentally demonstrate the PL emission from the moiré superlattice-induced intralayer exciton minibands in twisted TMD homobilayers using artificially stacked 1L-MoS2 layers at minimal twist angles. We also show the electrical tunability of these moiré excitons and the evolution of distinct moiré trions. We experimentally discern the localized versus delocalized nature of individual moiré peaks through different regimes of gating and optical excitation. Further, we discuss the gate-controlled valley coherence and resonant Raman scattering of moiré excitons. These experimental results provide unique insights into the moiré modulated optical properties of twisted bilayers. Next, we focus on tuning the electrical characteristics of vdWhs to realize ambipolar injection, which is useful for LED and CMOS applications. vdW contacts offer atomically smooth and pristine interfaces without dangling bonds, coupled with a weak interaction at the interface. Such contacts help to achieve a completely de-pinned contact close to the Schottky-Mott limit. We demonstrate the weakly pinned nature of a vdW contact (TaSe2) by realizing improved ambipolar carrier injection into few-layer WS2 and WSe2 channels (compared to Au). Backward diodes offer a superior high-frequency response, temperature stability, radiation hardness, and 1/f noise performance than a conventional diode. We demonstrate a vdWh based backward diode by exploiting the giant staggered band offsets of the WSe2/SnSe2 junction. The diode exhibits an ultra-high reverse rectification ratio of ~2.1*10^4 up to a substantial bias of 1.5 V, with an excellent curvature coefficient of ~37 V^{-1}, outperforming existing backward diode reports. We efficiently modulate the carrier transport by varying the thickness of the WSe2 layer, the type of metal contacts employed, and the external gate and drain bias. We also show that the effective current transfer length at the vertical junction in vdWhs can be as large as the whole interface, which is in sharp contrast to the smaller transfer length (~100 nm) in typical metal-layered semiconductor junctions. The results from this thesis widen the horizon for practical electronic, photonic, and optoelectronic applications of vdWhs.
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50

Pal, Rupam. "Influence of Soil's Electrical Parameters on Lightning Stroke-current Evolution and Fields in the Close Range." Thesis, 2022. https://etd.iisc.ac.in/handle/2005/5813.

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The lightning return stroke forms one of the severest natural sources of electromagnetic interference for ground-based and airborne systems. Many physical fields are involved in this complex physical phenomenon. Several pertinent aspects are somewhat unclear, and it is not practical to conduct the field measurements to resolve them. One such important aspect, which is of practical relevance, is the influence of soil's electrical properties on the stroke current evolution and the fields in the soil. It formed the genesis of the present work. The collection of the required data from on-field measurements would be nearly impossible, and hence suitable theoretical approach was considered. For that, an appropriate model for the return stroke is necessary. Among different models for the lightning return stroke, only the 'Self-consistent return stroke' model is found to be suitable. This model employs a macroscopic electrical representation of the underlying physical phenomenon and accounts for the associated dynamic electric field to emulate the stroke current evolution. However, in the past works, only perfectly conducting earth was considered, and it relied on the time-domain thin-wire formulation to evaluate the associated dynamic electromagnetic fields. On the other hand, a more realistic representation of the soil, with its frequency-dependent and non-linear parameters, is required for the present work. This necessitated a suitable adoption of the domain-based 'Finite difference time domain' (FDTD) method for field computation. It turned out that, in an FDTD framework, the modeling of the channel and its corona sheath, soil-ionization, and soil-dispersion is a challenging exercise. For the simulation, a straight vertical channel of 5 km is considered. A complex-frequency-based PML (perfectly matched layer) is employed to truncate the problem domain. The high aspect ratio of the channel does not permit the application of standard FDTD update equations with a realistic spatial discretization. The conventional subcell approach, generally used to model thin-wire structure in an FDTD framework, was also not usable for two reasons. Firstly, the channel has a dynamic conductivity, and secondly, the presence of corona-sheath surrounding the channel produces a typical field profile in the region. The channel in the soil and the non-linear ionization around it also posed a similar problem. A ‘Modified subcell approach’ was developed to handle the lightning channel, which is one of the essential contributions of the present work. In the ‘Modified subcell approach’, the spatial field variation is computed at each time step, taking into account all the relevant field contributions in the respective region. The radial current produced by the charge deposited in the corona sheath is also be taken into account separately. The frequency-dependent conductivity and permittivity of the soil require a convolution in time domain formulation. This would require a repeated calculation of the integral over each cell, a forbidden task. Based on one of the recent literature, a suitable simplification is adopted, thereby drastically minimizing the computational requirement. The soil ionization, a strongly field-dependent phenomenon, required a different set of developments. Each cell is divided into subgrids to account for the local field variation and the dynamic conductivity profile. The developed FDTD formulation is deployed to investigate the role of soil's electrical properties on the stroke current evolution and the field in the soil using the self-consistent return stroke model. For the first time, it is shown that the soil's electrical conductivity has some noticeable influence on the stroke current magnitude (up to about 45 %), and the ionization phenomenon in soil tends to reduce this influence . It is shown that the current magnitude varies most for a low magnitude fast-rising current as the soil ionization is minimal for these cases. On the other hand, for high-level slow-rising currents, the ionization process significantly matures, and as a result, the dependence of current magnitude on soil resistivity is reduced substantially. It is noted that the effect of soil permittivity and the frequency-dependent soil parameters on the return-stroke current is minimal. From the results of the detailed simulation, it is found that soil resistivity also affects the field in the soil significantly. The field in the air is increased with decreasing soil resistivity, and the increase is primarily due to the increase in channel current magnitude. For the field in the soil, in addition to modulating the field magnitude, soil resistivity also affects the temporal nature, with the field becoming peakier for lower resistivity. A comparison of the computed field demonstrates that the field is underestimated significantly by the prevalent quasi-static approach, and the difference increases with the radial distance from the channel. The frequency-dependency of the soil's conductivity, and permittivity to a lesser extent, significantly reduces the field in the soil. It is also seen that the current concentration near the surface due to skin-effect is altered at later periods by the field produced by the channel current. The presence of a second layer of lower resistivity at a shallow depth, on the other hand, effectively controls the current and field in the top layer. It is also shown that the field for a strike to a mountain can depend significantly on the mountain height. In summary, significant contributions have been made in the present work towards the FDTD formulations for modeling lightning phenomena and assessing the soil’s electrical parameters on lightning stroke current evolution and the resulting field .
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