Дисертації: "Enhanced timer"

1

Grisham, Joe P. 1950. "Phase enhanced time-of-flight magnetic resonance angiography." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/46454.

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2

Ahmed, Zaynab Anwer. "Enhanced computation time for fast block matching algorithm." Thesis, Liverpool John Moores University, 2013. http://researchonline.ljmu.ac.uk/4422/.

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Video compression is the process of reducing the amount of data required to represent digital video while preserving an acceptable video quality. Recent studies on video compression have focused on multimedia transmission, videophones, teleconferencing, high definition television (HDTV), CD-ROM storage, etc. The idea of compression techniques is to remove the redundant information that exists in the video sequences. Motion compensated predictive coding is the main coding tool for removing temporal redundancy of video sequences and it typically accounts for 50-80% of the video encoding complexity. This technique has been adopted by all of the existing international video coding standards. It assumes that the current frame can be locally modelled as a translation of the reference frames. The practical and widely method used to carry out motion compensated prediction is block matching algorithm. In this method, video frames are divided into a set of non-overlapped macroblocks; each target macroblock of the current frame is compared with the search area in the reference frame in order to find the best matching macroblock. This will carry out displacement vectors that stipulate the movement of the macroblocks from one location to another in the reference frame. Checking all these locations is called full Search, which provides the best result. However, this algorithm suffers from long computational time, which necessitates improvement. Several methods of Fast Block Matching algorithm were developed to reduce the computation complexity. This thesis focuses on two classifications: the first is called the lossless block matching algorithm process, in which the computational time required to determine the matching macroblock of the full search is decreased while the resolution of the predicted frames is the same as for the full search. The second is called the lossy block matching algorithm process, which reduces the computational complexity effectively but the search result’s quality is not the same as for the full search.

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3

Craddock, I. J. "Enhanced numerical techniques for time domain electromagnetic analysis." Thesis, University of Bristol, 1995. http://hdl.handle.net/1983/9ac15a09-f4cd-4971-beb4-80f038c0f561.

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4

Almualimi, Majdi A. "Ultrasound transit time spectroscopy for enhanced medical imaging." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/119165/1/Majdi_Almualimi_Thesis.pdf.

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Ultrasound imaging is used extensively in a large range of medical applications and currently represents over 25% of all types of diagnostic images produced around the world. Like any imaging modality, ultrasound is negatively affected by factors such as noise and artefacts that reduce the image quality. Phase interference is considered to be one of the key factors affecting spatial resolution. This thesis examined the ability of ultrasound transit time spectroscopy (UTTS) to compensate for phase interference and to improve not only the axial but also the spatial resolution of ultrasound images.

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5

Quiñones, Valles Diego A. "Detection of space-time perturbations with quantum-enhanced metrology." Thesis, University of Leeds, 2017. http://etheses.whiterose.ac.uk/19249/.

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We present a new model of atomic decoherence by space-time perturbations. We propose that decoherence will arise as a result of two possible effects that gravitational fluctuations will have on the atom. One is that the nucleus will be displaced relative to the valence electron, which will be perceived as a sudden change in the electric potential. This will result in the wave function of the atom being partially projected into lower energy levels. The other is that the strain in space will change the local electric field as felt by the electron. This interaction will either induce a change in the angular momentum of the atom or a small shift in the transition of the energy levels, presenting two different experimental approaches for the detection of the effect. We calculate how the decoherence is related to the internal degrees of freedom of the atoms, obtaining that the effect will be more prominent for atoms initially in a highly excited state (Rydberg atoms). By applying the nuclear displacement model for the scatter- ing of neutral particles, we suggest that it could be potentially useful for the detection of weakly-interacting particles, like possible candi- dates of Dark Matter. The overall effect of gravitational waves for the strained-space model was calculated to be several orders of magnitude higher than for the nuclear displacement model, allowing for detection in different ranges of frequencies. We analyze how different quantum states are affected according to the proposed model, calculating that the information from the measurement of correlated atoms will be significantly higher. The optimal quantum state that minimizes the uncertainty of the measurement is described for an arbitrary number of atoms, giving a relation that follows closely the Heisenberg limit.

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6

Sayah, Mukthar. "Nonlinear time series analysis applied to resonance enhanced drilling." Thesis, University of Aberdeen, 2015. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=227011.

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In order to optimise the Resonance Enhanced Drilling (RED) performance in different rock formations, it is important to understand both the influence of the system parameters on the drilling dynamics, and other measures that are involved in the drilling operation. This work studies the dynamic behaviour of the drilling system. It also investigates the influence of various system parameters on the drilling module dynamics in order to identify in real-time the formation being drilled from the dynamical responses of the drilling assembly. It also aims to optimise the selection of the operating parameters for a drilled formation, resulting in an improvement in the Rate Of Penetration (ROP). A nonlinear time series analysis approach has been used to infer the changes in the system parameters from subtle changes in the system dynamics. Using the acceleration time-series as a measurement of simulated and experimental impact oscillators representing a model for drilling conditions with intermittent impacts, the systems attractors were reconstructed and characterised. It is shown that the stiffness correlates well with the topology of the reconstructed attractor. Nonimpacting trajectories formed an approximate plane within the three dimensional reconstructed phase-space. Contact with the constraint caused a systematic deviation from the linear subspace, the inclination of which, measured by statistics of the tangent vector, can be used to infer the stiffness. Based on the developed framework it is now possible to classify stiffness of the impacted material from a single variable in a simple way and in real-time. An experimental impact drilling rig was designed, built and used to study the influence of the system parameters on the high-frequency impact drilling. The newly designed rig is a smaller and simpler apparatus. It is designed to mimic the actual RED apparatus in terms of providing controlled axial vibration into a conventional rotary drilling whilst avoiding complications that might arise from including all RED rig elements. An instrumentation and sensing system was also developed to measure motions and forces resulting from the dynamic interactions between the drill-bit and the rock formations.

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7

Myriokefalitakis, Panteleimon. "Real-time conversion of monodepth visual odometry enhanced network." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-288488.

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This thesis work belongs to the field of self-supervised monocular depth estimation and constitutes a conversion of the work done in [1]. The purpose is to consider the computationally expensive model in [1] as the baseline model of this work and try to create a lightweight model out of it. The current work proposes a network suited to be deployed on embedded devices such as NVIDIA Jetson TX2 where the needs for short runtime, small memory footprint, and power consumption matters the most. In other words, if those requirements are missing, no matter if precision is extraordinarily high, the model cannot be functional on embedded processors. Thus, mobile platforms with small size such as drones, delivery robots, etc. cannot exploit the benefits of deep learning. The proposed network has _29.7 less parameters than the baseline model [1] and uses only 10.6 MB for a forward pass in contrast to 227MB used by the network in [1]. Consequently, the proposed model can be functional on embedded devices’ GPU. Lastly, it is able to infer depth with promising speed even on standard CPUs and at the same time provides comparable or higher accuracy than other works.
Detta examensarbete tillhör området för självkontrollerad monokulär djupbedömning och utgör en omvandling av det arbete som gjorts under [1]. Syftet är att överväga den beräkningsmässiga dyra modellen i [1] som basmodellen för detta arbete och försöka skapa en lätt modell ur den. Det nuvarande arbetet förutsätter ett nätverk som är lämpligt att distribueras på inbäddade enheter som NVIDIA Jetson TX2 där behoven för kort driftstid, liten minnesfotavtryck och kraftförbrukning är viktigast. Med andra ord, om dessa krav saknas, oavsett om precisionen är extra hög, kan modellen inte fungera på inbäddade processorer. Således kan mobilplattformar med små storlekar som drönare, leveransrobotar, etc. inte utnyttja fördelarna med djupbildning. Det föreslagna nätverket har _29,7 mindre parametrar än baselinemodellen [1] och använder endast 10,6MB för ett framåtpass i motsats till 227MB som används av nätverket i [1]. Följaktligen kan den föreslagna modellen fungera på inbäddade enheters GPU. Slutligen kan den dra slutsatsen med lovande hastighet på standard CPUs och samtidigt ger jämförbar eller högre noggrannhet än andra arbete.

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8

Holmqvist, Johan, and Tord Karlsson. "Enhanced Automotive Real-Time Testing Through Increased Development Process Quality." Thesis, Mälardalen University, School of Innovation, Design and Engineering, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-9945.

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The purpose of this master thesis is to improve the quality of software testing in a large company developing real-time embedded systems. Software testing is a very important part of software development. By performing comprehensive software testing the quality and validity of a software system can be assured. One of the main issues with software testing is to be sure that the tests are correct. Knowing what to test, but also how to perform testing, is of utmost importance.

In this thesis, we explore different ways to increase the quality of real-time testing by introducing new techniques in several stages of the software development model. Four complementary methods are suggested. The proposed methods are validated by implementing them in an existing and completed project on a subset of the software development process. The original output from the completed project is compared with the new output.

The presented results from the validation are positive in the sense that it is shown that the test stage was more qualitative, mostly due to a higher level of quality on input from earlier stages.

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9

Garcia, Julian. "Digitally Enhanced Continuous-Time Sigma-Delta Analogue-to-Digital Converters." Doctoral thesis, KTH, Integrerade komponenter och kretsar, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-95447.

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The continuous downscaling of CMOS technology presents advantagesand difficulties for IC design. While it allows faster, denser and more energy efficient digital circuits, it also imposes several challenges which limit the performance of analogue circuits. Concurrently, applications are continuously pushing the boundaries of power efficiency and throughput of electronic systems. Accordingly, IC design is increasingly shifting into highly digital systems with few necessary analogue components. Particularly, continuous-time (CT) sigma-delta (ΣΔ) analogue-to-digital converters (ADCs) have recently received a growing interest, covering high-resolution medium-speed requirementsor offering low power alternatives to low speed applications. However, there are still several aspects that deserve further investigation so as to enhancethe ADC’s performance and functionality. The objective of the research performed in this thesis is the investigation of digital enhancement solutions for CT ΣΔ ADCs. In particular, two aspects are considered in this work. First, highly digital techniques are investigated to minimize circuit impairments, with the objective of providing solutions with reduced analogue content. In this regard, a multi-bit CT ΣΔ modulator with reduced number of feedback levels is explored to minimize the use of linearisation techniques in the DAC. The proposed architecture is designed and validated through behavioural simulations targeting a mobile application. Additionally, a novel self-calibration technique, using test-signal injection and digital cancellation, is proposed to counteract process variations affecting single loop CT implementations. The effectiveness of the calibration technique is confirmed through corner simulations using behavioural models and shows that stability issues are minimized and that a 7 dB SNDR degradation can be avoided. The second aspect of this thesis investigates the use of high order CT modulators in incremental ΣΔ (IΣΔ) and extended-range IΣΔ ADCs, with the objective of offering low-power alternatives for low-speed high-resolution multi-channel applications. First, a 3rd order single loop CT IΣΔ ADC, targeting an 8-channel 500 Ksamples/sec rate per channel recording system for neuropotential sensors, is proposed, fabricated and tested. The proposed architecture lays the theoretical groundwork and demonstrates a competitive performance of high-order CT IΣΔ ADCs for low-power multi-channel applications. The ADC achieves 65.3 dB/64 dB SNR/SNDR and 68.2 dB dynamic range. The modulator consumes 96 μW from a 1.6 V power supply. Additionally, the use of extended range approach in CT IΣΔ ADCs is investigated,so as to reduce the required number of cycles per conversion while benefiting from the advantages of a CT implementation. The operation, influence of filter topology and impact of circuit non-idealities are first analysed using a general approach and later validated through a test-case. It was found that, by applying analogue-digital compensation in the digital domain, it is possible to minimize the noise leakage due to analogue-digital transfer function mismatches and benefit from relaxed amplifiers’ finite gain-bandwidth product and finite DC gain, allowing, as a consequence, a power conscious alternative.
QC 20120528

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10

Shibley, Jordan Almon. "Enhanced Sonar Array Target Localization Using Time-Frequency Interference Phenomena." PDXScholar, 2013. https://pdxscholar.library.pdx.edu/open_access_etds/1488.

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The ability of traditional active sonar processing methods to detect targets is often limited by clutter and reverberation from ocean environments. Similarly, multipath arrivals from radiating sources such as ships and submarines are received at sensors in passive sonar systems. Reverberation and multipath signals introduce constructive and destructive interference patterns in received spectrograms in both active and passive sonar applications that vary with target range and frequency. The characterization and use of interference phenomena can provide insights into environmental parameters and target movement in conjunction with standard processing methods including spectrograms and array beamforming. This thesis focuses on utilizing the time-frequency interference structure of moving targets captured on sonar arrays to enhance the resolution and abilities of conventional sonar methods to detect and localize targets. Physics-based methods for interference-based beamforming and target depth separation are presented with application of these methods shown using broadband simulated array data.

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11

Halabian, Faezeh. "An Enhanced Learning for Restricted Hopfield Networks." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42271.

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This research investigates developing a training method for Restricted Hopfield Network (RHN) which is a subcategory of Hopfield Networks. Hopfield Networks are recurrent neural networks proposed in 1982 by John Hopfield. They are useful for different applications such as pattern restoration, pattern completion/generalization, and pattern association. In this study, we propose an enhanced training method for RHN which not only improves the convergence of the training sub-routine, but also is shown to enhance the learning capability of the network. Particularly, after describing the architecture/components of the model, we propose a modified variant of SPSA which in conjunction with back-propagation over time result in a training algorithm with an enhanced convergence for RHN. The trained network is also shown to achieve a better memory recall in the presence of noisy/distorted input. We perform several experiments, using various datasets, to verify the convergence of the training sub-routine, evaluate the impact of different parameters of the model, and compare the performance of the trained RHN in recreating distorted input patterns compared to conventional RBM and Hopfield network and other training methods.

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12

Gregorek, Daniel [Verfasser]. "Hardware Enhanced Run-Time Management for Many-Core Processors / Daniel Gregorek." Düren : Shaker, 2019. http://d-nb.info/1188552392/34.

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13

Chang, Emily L. (Emily Lora) 1978. "Hanging messages : using context-enhanced messages for just-in-time communication." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/86647.

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14

RAMACHANDRAN, GOWRI SANKAR. "Integration of enhanced slot-shifting in uc/os-II." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-12981.

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15

Spencer, Thomas Louis. "Enhanced Air Transportation Modeling Techniques for Capacity Problems." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/82353.

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Effective and efficient air transportation systems are crucial to a nation's economy and connectedness. These systems involve capital-intensive facilities and equipment and move millions of people and tonnes of freight every day. As air traffic has continued to increase, the systems necessary to ensure safe and efficient operation will continue to grow more and more complex. Hence, it is imperative that air transport analysts are equipped with the best tools to properly predict and respond to expected air transportation operations. This dissertation aims to improve on those tools currently available to air transportation analysts, while offering new ones. Specifically, this thesis will offer the following: 1) A model for predicting arrival runway occupancy times (AROT); 2) a model for predicting departure runway occupancy times (DROT); and 3) a flight planning model. This thesis will also offer an exploration of the uses of unmanned aerial vehicles for providing wireless communications services. For the predictive models of AROT and DROT, we fit hierarchical Bayesian regression models to the data, grouped by aircraft type using airport physical and aircraft operational parameters as the regressors. Recognizing that many existing air transportation models require distributions of AROT and DROT, Bayesian methods are preferred since their output are distributions that can be directly inputted into air transportation modeling programs. Additionally, we exhibit how analysts will be able to decouple AROT and DROT predictions from the traditional 4 or 5 groupings of aircraft currently in use. Lastly, for the flight planning model, we present a 2-D model using presently available wind data that provides wind-optimal flight routings. We improve over current models by allowing free-flight unconnected to pre-existing airways and by offering finer resolutions over the current 2.5 degree norm.
Ph. D.

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16

Axell, Erik. "Coexistence of Real Time and Best Effort Services in Enhanced Uplink WCDMA." Thesis, Linköping University, Linköping University, Department of Electrical Engineering, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2725.

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The increasing use of data services and the importance of IP basedservices in third generation mobile communication system (3G), requires the transmission from the cell phone to the base station, i.e. uplink, to manage high speed data rates. In the air interface for 3G in Europe, WCDMA, a concept for enhancing the transmission from the cell phone to the base station, called Enhanced Uplink, is being standardized. The overall goal is to provide high speed data access for the uplink. One of the requirements is that the enhanced uplink channels must be able to coexist with already existing WCDMA releases. For example, the enhanced uplink must not impact seriously on real time services, such as speech, carried on current WCDMA channels.

The purpose of this work is to study how the quality, coverage and capacity of real time services carried on previous WCDMA releases is affected when introducing the Enhanced Uplink in a WCDMA network. The main focus of the study is thus to demonstrate the trade-off between voice and best effort performances.

Theoretical assessments and simulations show that the Enhanced Uplink has many advantages over previous WCDMA releases. For example the Enhanced Uplink yields a larger system throughput for all voice loads. The noise rise, i.e. the ratio of total received power to the background noise power is being considered as the resource. It is shown that user traffic carried on the Enhanced Uplink is able to operate under a higher noise rise level as well as to get a higher throughput per noise rise. The resource is hence more efficiently utilized.

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17

Arthur, Jacob D. "Enhanced Prediction of Network Attacks Using Incomplete Data." NSUWorks, 2017. http://nsuworks.nova.edu/gscis_etd/1020.

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For years, intrusion detection has been considered a key component of many organizations’ network defense capabilities. Although a number of approaches to intrusion detection have been tried, few have been capable of providing security personnel responsible for the protection of a network with sufficient information to make adjustments and respond to attacks in real-time. Because intrusion detection systems rarely have complete information, false negatives and false positives are extremely common, and thus valuable resources are wasted responding to irrelevant events. In order to provide better actionable information for security personnel, a mechanism for quantifying the confidence level in predictions is needed. This work presents an approach which seeks to combine a primary prediction model with a novel secondary confidence level model which provides a measurement of the confidence in a given attack prediction being made. The ability to accurately identify an attack and quantify the confidence level in the prediction could serve as the basis for a new generation of intrusion detection devices, devices that provide earlier and better alerts for administrators and allow more proactive response to events as they are occurring.

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18

Persson, Rickard. "Tilting trains : Enhanced benefits and strategies for less motion sickness." Doctoral thesis, KTH, Spårfordon, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-33077.

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Carbody tilting is today a mature and inexpensive technology that allows higher train speeds in horizontal curves, thus shortening travel time. This doctoral thesis considers several subjects important for improving the competitiveness of tilting trains compared to non-tilting ones. A technology review is provided as an introduction to tilting trains and the thesis then focuses on enhancing the benefits and strategies for less motion sickness. A tilting train may run about 15% faster in curves than a non-tilting one but the corresponding simulated running time benefit on two Swedish lines is about 10%. The main reason for the difference is that speeds are set on other grounds than cant deficiency at straight track, stations, bridges, etc. The possibility to further enhance tilting trains’ running speed is studied under identified speed limitations due to vehicle-track interaction such as crosswind requirements at high speed curving. About 9% running time may be gained on the Stockholm–Gothenburg (457 km) mainline in Sweden if cant deficiency, top speed, and tractive performance are improved compared with existing tilting trains. Non-tilting high-speed trains are not an option on this line due to the large number of 1,000 m curves. Tilting trains run a greater risk of causing motion sickness than non-tilting trains. Roll velocity and vertical acceleration are the two motion components that show the largest increase, but the amplitudes are lower than those used in laboratory tests that caused motion sickness. Scientists have tried to find models that can describe motion sickness based on one or more motion quantities. The vertical acceleration model shows the highest correlation to motion sickness on trains with active tilt. However, vertical acceleration has a strong correlation to several other motions, which precludes vertical acceleration being pointed out as the principal cause of motion sickness in tilting trains. Further enhanced speeds tend to increase carbody motions even more, which may result in a higher risk of motion sickness. However, means to counteract the increased risk of motion sickness are identified in the present work that can be combined for best effect. Improved tilt control can prevent unnecessary fluctuations in motion sickness related quantities perceived by the passengers. The improved tilt control can also manage the new proposed tilt algorithms for less risk of motion sickness, which constitute one of the main achievements in the present study. Local speed restrictions are another means of avoiding increased peak levels of motion sickness when increasing the overall speed. The improved tilt control and the proposed tilt algorithms have proven to be effective in on-track tests involving more than 100 test subjects. The new tilt algorithms gave carbody motions closer to non-tilting trains. Rather unexpectedly, however, the test case with the largest decrease in tilt gave a greater risk of motion sickness than the two test cases with less reduction in tilt. It is likely that even better results can be achieved by further optimization of the tilt algorithms; the non-linear relation between motions and motion sickness is of particular interest for further study.
QC 20110429

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19

Mackenzie, Todd. "The use of markers to enhance time-to-event analysis." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp02/NQ37001.pdf.

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20

MacKenzie, Todd. "The use of markers to enhance time-to-event analysis /." Thesis, McGill University, 1997. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=34660.

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During the course of follow-up studies designed to assess the time to an event of interest, longitudinal variables are usually monitored. These longitudinal variables are often prognostic and, as such, are a potential rich source of information regarding the true time-to-event of censored subjects. In this thesis I propose methodology that uses information from markers, these longitudinal prognostic variables, to enhance inference on (i) parametric time-to-event models, (ii) semi-parametric models, in particular, Cox's (1972) model and (iii) log rank tests. Using simulations I determine if and by how much markers can enhance inference on these models and tests, as a function of a marker's prognostic ability. These simulations are based on a novel method of random data generation whose properties I also examine.

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21

Ulmer, Todd G. "Resonant-cavity-enhanced surface-emitted second-harmonic generation for optical time-division demultiplexing." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/13323.

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22

Mellecker, Robin Rochelle. "The conversion of sedentary time to active time in children: the role of activity enhanced video game play." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B44525114.

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23

Modé, Erik. "Responsive Web Design and Optimizing Loading Times on Mobile Devices for Enhanced Web Presence." Thesis, Uppsala universitet, Informationssystem, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-227592.

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Surfing the web has moved from the stationary computers to mobile devices such as smartphones and tablets. As the technology moves further and more devices comes out on the market this is a trend that will continue. This makes it more important for web developers to adapt and make their websites fit not only for one device. The website needs to fit all devices. Since many of these devices are using wireless connections, the website performance has also become even more important in order to give the users a good experience. Responsive web design is an approach for designing and developing web pages. By using the three techniques of flexible grid layout, flexible images and media, and media queries, websites can get a design that fits all devices. Responsive web techniques will also make the web page perform better on each device since it makes the web page adapt to its environment. There are several performance techniques that can be applied to a website in order to increase performance and loading time. Responsive web design including performance techniques can together make a great impact on a website's loading speed and user experience. This thesis embraces this approach for web development. By developing a design theory, a website emerges where these approaches of web development have been implemented. During the development of the website the experiences implementing this approach and techniques is discussed. The website developed for this thesis was able to finish loading below 4 seconds on a mobile device using a 3G connection. We argue that responsive web design and performance techniques can help a website immensely to increase its user experience and performance.

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24

Ouyang, Yicun. "Self-organising mixture neural networks for enhanced modelling and forecasting of FX time series." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/selforganising-mixture-neural-networks-for-enhanced-modelling-and-forecasting-of-fx-time-series(b262bf01-3e85-475d-99c6-c343a1987e3b).html.

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Time series modelling and forecasting plays a critical role in various practical fields, thus attracting a large amount of attention and researches. To improve the accuracy and efficiency of modelling and forecasting, various econometric models, neural networks and other methods have been introduced and developed in the past decades. Among various existing neural networks architectures and learning algorithms, self-organising map (SOM) is one of the most popular neural network models. A recently developed model, termed self-organising mixture autoregressive (SOMAR), combines SOM and mixture autoregressive (MAR) and employs mixture autoregressive local models to describe the non-stationary time series. As the fixed structure of neurons in SOMAR deteriorates its prediction accuracy and practical applications, neural gas mixture autoregressive (NGMAR), has been introduced in this thesis as an appropriate solution to this problem. It organises the neurons in a more flexible neural network, neural gas. While still retaining the features of SOMAR, the proposed network defines the neighbourhood of neurons as a 'gas' based on their sum of autocorrelation (SAC) rankings and updates the reference vectors accordingly. It develops the performance of SOMAR further. As causal systems, most neural networks including SOMAR and NGMAR, do not take the future expectation's influence on the current value into account while training and predicting. This problem could be solved by applying the non-causal concept to these networks. By allowing dependence of future expectations, the non-causal NGMAR model employs both past and future expectations together for training and predicting. Moreover, varied weightings based on the time lags of these values have been assigned to enhance the influences of the more recent values. These properties make the non-causal NGMAR perform predictions more accurately. This thesis has also generalised the one-step prediction performance of selforganising network in multistep scale. The extended self-organising neural network builds input segments with various lengths and only updating corresponding parts of reference vectors, which makes the network capable of learning multiple regressive models for forecasting various horizons. The inter dependencies among future points are preserved and this results in all forecasting tasks naturally. All the proposed models are applied to both benchmark and financial datasets. To evaluate their forecasting accuracy, NRMSE (normalised root mean squared error), correct prediction percentage (CPP) and their corresponding t-test results are calculated. It is shown that the proposed models yield significantly better prediction performance than popular economic time series models and other neural networks.

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25

Chak, Daniel 1980. "Enhanced modeling : real-time simulation and modeling of graph based problems on interactive workbenches." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/26915.

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Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2004.
Includes bibliographical references (p. 125-127).
This thesis presents a methodology and framework for designing systems that apply real-time simulation of computational models throughout the modeling and parameter modification stages of problem solving for graph based problems. An interactive problem solving technique is presented where the lines between problem modeling and simulation are blurred, enhancing the outcome of traditional problem solving. To demonstrate the versatility of the framework and methodology, two applications not normally thought of as graph problems - a circuit design application and an airport passenger flow application - are developed and tested. Three user studies test various parts of the framework, as well as the overall concept of real-time simulation on an interactive workbench. The first study provides quantitative support for the efficacy of the interaction technique chosen for manipulating graph structures. The second provides observational results of using the circuit design application to teach physics. The third addresses whether blurred lines of modeling and analysis enhance problem solving.
by Daniel Chak.
S.M.

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26

Tian, Runfeng. "An Enhanced Approach using Time Series Segmentation for Fault Detection of Semiconductor Manufacturing Process." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1562923441016763.

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27

Zhang, Lei. "Enhanced fast handover triggering mechanism for fast proxy mobile IPv6." Thesis, Queensland University of Technology, 2014. https://eprints.qut.edu.au/74864/1/Lei_Zhang_Thesis.pdf.

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Handover performance is critical to support real-time traffic applications in wireless network communications. The longer the handover delay is, the longer an Mobile Node (MN) is prevented from sending and receiving any data packet. In real-time network communication applications, such as VoIP and video-conference, a long handover delay is often unacceptable. In order to achieve better handover performance, Fast Proxy Mobile IPv6 (FPMIPv6) has been standardised as an improvement to the original Proxy Mobile IPv6 (PMIPv6) in the Internet Engineering Task Force (IETF). The FPMIPv6 adopts a link layer triggering mechanism to perform two modes of operation: predictive and reactive modes. Using the link layer triggering, the handover performance of the FPMIPv6 can be improved in the predictive mode. However, an unsuccessful predictive handover operation will lead to activation of a reactive handover. In the reactive mode, MNs still experience long handover delays and a large amount of packet loss, which significantly degrade the handover performance of the FPMIPv6. Addressing this problem, this thesis presents an Enhanced Triggering Mechanism (ETM) in the FPMIPv6 to form an enhanced FPMIPv6 (eFPMIPv6). The ETM reduces the most time consuming processes in the reactive handover: the failed Handover Initiate (HO-Initiate) delay and bidirectional tunnel establishment delay. Consequently, the overall handover performance of the FPMIPv6 is enhanced in the eFPMIPv6. To show the advantages of the proposed eFPMIPv6, a theoretical analysis is carried out to mathematically model the performance of PMIPv6, FPMIPv6 and eFPMIPv6. Extensive case studies are conducted to validate the effectiveness of the presented eFPMIPv6 mechanism. They are carried out under various scenarios with changes in network link delay, traffic load, number of hops and MN moving velocity. The case studies show that the proposed mechanism ETM reduces the reactive handover delay, and the presented eFPMIPv6 outperforms the PMIPv6 and FPMIPv6 in terms of the overall handover performance.

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28

Dzida, Tomasz. "Predicting context specific enhancer-promoter interactions from ChIP-Seq time course data." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/predicting-context-specific-enhancerpromoter-interactions-from-chipseq-time-course-data(281a8cee-87f9-49e7-8106-a9d76603a806).html.

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We develop machine learning approaches to predict context specific enhancer-promoter interactions using evidence from changes in genomic protein occupancy over time. Occupancy of estrogen receptor alpha (ER-alpha), RNA polymerase (Pol II) and histone marks H2AZ and H3K4me3 were measured over time using ChIP-Seq experiments in MCF7 cells stimulated with estrogen. Two Bayesian classifiers were developed, unsupervised and supervised. The supervised approach uses the correlation of temporal binding patterns at enhancers and promoters and genomic proximity as features and predicts interactions. The method was trained using experimentally determined interactions from the same system and achieves much higher precision than predictions based on the genomic proximity of nearest ER-alpha binding. We use the method to identify a confident set of ER-alpha target genes and their regulatory enhancers genome-wide. Validation with publicly available GRO-Seq data shows our predicted targets are much more likely to show early nascent transcription than predictions based on genomic ER-alpha binding proximity alone. Accuracy of the predictions from the supervised model was compared against the second more complex unsupervised generative approach which uses proximity-based prior and temporal binding patterns at enhancers and promoters to infer protein-mediated regulatory complexes involving individual genes and their networks of multiple distant regulatory enhancers.

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29

Kumar, Ajitabh. "Time-lapse seismic modeling and production data assimilation for enhanced oil recovery and CO2 sequestration." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-3219.

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30

Manmek, Thip Electrical Engineering &amp Telecommunications Faculty of Engineering UNSW. "Real-time power system disturbance identification and its mitigation using an enhanced least squares algorithm." Awarded by:University of New South Wales. Electrical Engineering and Telecommunications, 2006. http://handle.unsw.edu.au/1959.4/26233.

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This thesis proposes, analyses and implements a fast and accurate real-time power system disturbances identification method based on an enhanced linear least squares algorithm for mitigation and monitoring of various power quality problems such as current harmonics, grid unbalances and voltage dips. The enhanced algorithm imposes less real-time computational burden on processing the system and is thus called ???efficient least squares algorithm???. The proposed efficient least squares algorithm does not require matrix inversion operation and contains only real numbers. The number of required real-time matrix multiplications is also reduced in the proposed method by pre-performing some of the matrix multiplications to form a constant matrix. The proposed efficient least squares algorithm extracts instantaneous sine and cosine terms of the fundamental and harmonic components by simply multiplying a set of sampled input data by the pre-calculated constant matrix. A power signal processing system based on the proposed efficient least squares algorithm is presented in this thesis. This power signal processing system derives various power system quantities that are used for real-time monitoring and disturbance mitigation. These power system quantities include constituent components, symmetrical components and various power measurements. The properties of the proposed power signal processing system was studied using modelling and practical implementation in a digital signal processor. These studies demonstrated that the proposed method is capable of extracting time varying power system quantities quickly and accurately. The dynamic response time of the proposed method was less than half that of a fundamental cycle. Moreover, the proposed method showed less sensitivity to noise pollution and small variations in fundamental frequency. The performance of the proposed power signal processing system was compared to that of the popular DFT/FFT methods using computer simulations. The simulation results confirmed the superior performance of the proposed method under both transient and steady-state conditions. In order to investigate the practicability of the method, the proposed power signal processing system was applied to two real-life disturbance mitigation applications namely, an active power filter (APF) and a distribution synchronous static compensator (D-STATCOM). The validity and performance of the proposed signal processing system in both disturbance mitigations applications were investigated by simulation and experimental studies. The extensive modelling and experimental studies confirmed that the proposed signal processing system can be used for practical real-time applications which require fast disturbance identification such as mitigation control and power quality monitoring of power systems

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31

Shao, Yan. "VISION BASED REAL-TIME MONITORING AND CONTROL OF METAL TRANSFER IN LASER ENHANCED GAS METAL." UKnowledge, 2013. http://uknowledge.uky.edu/ece_etds/20.

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Laser enhanced gas metal arc welding (GMAW) is a novel welding process where a laser is applied to provide an auxiliary detaching force to help detach the droplet such that welds may be made in gas tungsten arc welding high quality at GMAW high speeds. The current needed to generate the electromagnetic (detaching) force is thus reduced. The reduction in the current helps reduce the impact on the weld pool and over-heat fumes/smokes. However, in the previous studies, a continuous laser is applied. Since the auxiliary is only needed each time the droplet needs to be detached and the detachment time is relatively short in the transfer cycle, the laser energy is greatly wasted in the rest of the transfer cycle. In addition, the unnecessary application of the laser on the droplet causes additional over-heat fumes. Hence, this study proposes to use a pulsed laser such that the peak pulse is applied only when the droplet is ready to detach. To this end, the state of the droplet development needs to be closely monitored in real-time. Since the metal transfer is an ultra-high speed process and the most reliable method to monitor should be based on visual feedback, a high imaging system has been proposed to monitor the real-time development of the droplet. A high-speed image processing system has been developed to real-time extract the developing droplet. A closed-loop control system has been established to use the real-time imaging processing result on the monitoring of the developing droplet to determine if the laser peak pulse needs to be applied. Experiments verified the effectiveness of the proposed methods and established system. A controlled novel process – pulsed laser-enhanced GMAW - is thus established for possible applications in producing high-quality welds at GMAW speeds.

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32

Crescitelli, David M., and Patrick B. Kistner. "Enhanced detection of orthogonal radar waveforms using time-frequency and bi-frequency signal processing techniques." Thesis, Monterey, California. Naval Postgraduate School, 2008. http://hdl.handle.net/10945/3931.

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Approved for public release; distribution is unlimited
This thesis investigates the periodic autocorrelation function (PACF) and periodic ambiguity function (PAF) for orthogonal continuous waveform (CW) modulations used in netted low probability of intercept (LPI) radar. Three orthogonal polyphase sequences and one frequency coding sequence are examined and their PACF and PAF characteristics are quantified. The Wigner-Ville distribution (WVD) and quadrature mirror filter bank (QMFB) timefrequency signal processing techniques and the cyclostationary bi-frequency technique (often used in non-cooperative intercept receivers) are used to detect the orthogonal CW signals and extract their parameters. The results shows that a combination of the techniques used were able to extract the basic signal parameters of bandwidth and code period from the polyphase waveforms and also the frequency hop slots and code length from the frequency coding sequence. The concept of using a swarm of unmanned aerial vehicles (UAV) is examined from the viewpoint of a coordinated group of netted intercept receivers in search of an LPI radar network.

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33

Wang, Xiaojing. "Multi-resolution time-domain modelling technique and its applications in electromagnetic band gap enhanced antennas." Thesis, Queen Mary, University of London, 2010. http://qmro.qmul.ac.uk/xmlui/handle/123456789/380.

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Newly emerged Electromagnetic Band Gap (EBG) structures possess multiple frequency bands that prohibit wave propagation and such stop bands are basically determined by the periodicity of the structure. Such desirable features make EBG hybrid antenna an interesting topic. Traditional full-wave techniques lack the efficiency to fully cope with the complexity of these hybrid structures, since the periodical elements are often much smaller in size than the accompanying antenna components. The Haar wavelet based Multi-Resolution Time Domain (MRTD) technique provides improved numerical resolution over the conventional Finite-Difference Time-Domain (FDTD) method, as well as simplicity in formulation. One-dimensional, two-dimensional and three-dimensional level-one codes are developed to assist the numerical modelling of the hybrid EBG antennas. An explicit form of Perfectly Matched Layer (PML) configuration is proposed, proved and presented. As a generic approach, its extensions suit every single level of Haar wavelet functions. A source expansion scheme is proposed thereafter. The concept of a multi-band multi-layer EBG hybrid antenna is presented. The theoretical prediction of antenna resonances is achieved through an effective medium model. It has been verified via numerical simulations and measurements. The 3D MRTD code is later applied to simulate such a structure. In addition, EBG enhanced circularly polarized photonic patch antennas have been studied. It is demonstrated that split-resonant rings (SRRs) and the like in EBG antennas can lead to antenna gain enhancement, backward radiation reduction and harmonic suppression. Furthermore, a circularly polarized two-by-two antenna array with spiral EBG elements is presented. The spiral element with ground via is more compact in size than the traditional mushroom structure, which is proven very efficient in blocking unwanted surface wave. Hence it reduces the mutual coupling of the array antenna significantly.

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34

Kistner, Patrick B. Crescitelli David M. "Enhanced detection of orthogonal radar waveforms using time-frequency and bi-frequency signal processing techniques." Monterey, Calif. : Naval Postgraduate School, 2008. http://edocs.nps.edu/npspubs/scholarly/theses/2008/Sept/08Sep%5FKistner.pdf.

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Thesis (M.S. in Information Warfare Systems Engineering)--Naval Postgraduate School, September 2008.
Thesis Advisor(s): Pace, Phillip E. "September 2008." Description based on title screen as viewed on November 5, 2008. Includes bibliographical references (p. 115-116). Also available in print.

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35

Riemenschneider, Bruno [Verfasser], and Jürgen [Akademischer Betreuer] Hennig. "Highly accelerated fMRI using non-cartesian trajectories: enhanced data acquisition and enabling real-time reconstruction." Freiburg : Universität, 2019. http://d-nb.info/120482617X/34.

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36

Mei, Jiali. "Time series recovery and prediction with regression-enhanced nonnegative matrix factorization applied to electricity consumption." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLS578/document.

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Nous sommes intéressé par la reconstitution et la prédiction des séries temporelles multivariées à partir des données partiellement observées et/ou agrégées.La motivation du problème vient des applications dans la gestion du réseau électrique.Nous envisageons des outils capables de résoudre le problème d'estimation de plusieurs domaines.Après investiguer le krigeage, qui est une méthode de la litérature de la statistique spatio-temporelle, et une méthode hybride basée sur le clustering des individus, nous proposons un cadre général de reconstitution et de prédiction basé sur la factorisation de matrice nonnégative.Ce cadre prend en compte de manière intrinsèque la corrélation entre les séries temporelles pour réduire drastiquement la dimension de l'espace de paramètres.Une fois que le problématique est formalisé dans ce cadre, nous proposons deux extensions par rapport à l'approche standard.La première extension prend en compte l'autocorrélation temporelle des individus.Cette information supplémentaire permet d'améliorer la précision de la reconstitution.La deuxième extension ajoute une composante de régression dans la factorisation de matrice nonnégative.Celle-ci nous permet d'utiliser dans l'estimation du modèle des variables exogènes liées avec la consommation électrique, ainsi de produire des facteurs plus interprétatbles, et aussi améliorer la reconstitution.De plus, cette méthod nous donne la possibilité d'utiliser la factorisation de matrice nonnégative pour produire des prédictions.Sur le côté théorique, nous nous intéressons à l'identifiabilité du modèle, ainsi qu'à la propriété de la convergence des algorithmes que nous proposons.La performance des méthodes proposées en reconstitution et en prédiction est testé sur plusieurs jeux de données de consommation électrique à niveaux d'agrégation différents
We are interested in the recovery and prediction of multiple time series from partially observed and/or aggregate data.Motivated by applications in electricity network management, we investigate tools from multiple fields that are able to deal with such data issues.After examining kriging from spatio-temporal statistics and a hybrid method based on the clustering of individuals, we propose a general framework based on nonnegative matrix factorization.This frameworks takes advantage of the intrisic correlation between the multivariate time series to greatly reduce the dimension of the parameter space.Once the estimation problem is formalized in the nonnegative matrix factorization framework, two extensions are proposed to improve the standard approach.The first extension takes into account the individual temporal autocorrelation of each of the time series.This increases the precision of the time series recovery.The second extension adds a regression layer into nonnegative matrix factorization.This allows exogenous variables that are known to be linked with electricity consumption to be used in estimation, hence makes the factors obtained by the method to be more interpretable, and also increases the recovery precision.Moreover, this method makes the method applicable to prediction.We produce a theoretical analysis on the framework which concerns the identifiability of the model and the convergence of the algorithms that are proposed.The performance of proposed methods to recover and forecast time series is tested on several multivariate electricity consumption datasets at different aggregation level

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37

Chavannes, Nicolas Pierre. "Local mesh refinement algorithms for enhanced modeling capabilities in the FDTD method /." Konstanz : Hartung-Gorre, 2002. http://www.loc.gov/catdir/toc/fy0801/2006483066.html.

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38

Paxton, Steven G. B. "Enhanced cyberspace defense with real-time distributed systems using covert channel publish-subscribe broker pattern communications." Thesis, Monterey, Calif. : Naval Postgraduate School, 2008. http://handle.dtic.mil/100.2/ADA483906.

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Thesis (M.S. in Information Warfare Systems Engineering)--Naval Postgraduate School, June 2008.
Thesis Advisor(s): Michael, James B. "June 2008." Description based on title screen as viewed on August 26, 2008. Includes bibliographical references (p. 91-98). Also available in print.

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39

Linnemann, Daniel [Verfasser], and Markus K. [Akademischer Betreuer] Oberthaler. "Quantum-Enhanced Sensing Based on Time Reversal of Nonlinear Dynamics / Daniel Linnemann ; Betreuer: Markus K. Oberthaler." Heidelberg : Universitätsbibliothek Heidelberg, 2017. http://d-nb.info/1177690489/34.

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40

Crain, Jennifer. "OSCILLATORY FLOW AS A MEANS OF ENHANCED SPECIES SEPARATION: A THREE DIMENSIONAL TIME-ACCURATE CFD ANALYSIS." Master's thesis, University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4142.

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A fluid that contains species in the presence of a concentration gradient generates unusual phenomena when it is forced into pulsatile motion. For example, each species in the fluid has an enhanced mass transport due to pure molecular diffusion. This enhancement takes place even if there is no net total flow over a cycle of the pulsatile motion. When more than one species in dilute amounts is present in an otherwise pure fluid, called a carrier, each species is transported at a different rate thereby causing a partial separation of the species. This idea traces back to hyperventilation studies done over 40 years ago and to the implementation of the technology in hospital environments to provide life-support for patients under anesthesia. However, it is only in recent years that the underlying physics of oscillatory flow as applied to mass transfer have been understood and this may lead to promising application of the technique to novel means of enhancing separation in life support applications and for detection purposes. In this thesis, results from three-dimensional time accurate studies carried out using the commercial computational fluid dynamics code FLUENT are presented. These results simulate the separation of CO2 from He in an N2 environment (carrier). The model consists of two reservoirs/mixing chambers, an oscillating piston wall, and a connecting tube. Several cases are carried out reporting on separation enhancement as a function of the Womersley number and the ratio of tidal displacement to connecting tube diameter. Unlike previous studies which were undertaken using asymptotic analysis, the present models and results incorporate full entrance effects and 3D interactions. Results of this study will be useful as a guide for the design and miniaturization of an oscillating device for species separation in further research projects at the University of Central Florida. Observations showed that a molar fraction increase occurs during the species transport in the presence of a thermal boundary layer. This was accompanied by an imposed external forced temperature condition on the surface of the cylinder to create thermal diffusion, also known as the Soret or thermal diffusion effect, which refers to the separation of mixtures in a temperature gradient as means of change on the concentration gradient of the species ratio. Calculations were performed to analyze the effect of the heat transfer on the molar fraction of the species at a specific region of the model, called the measurement point. Various mathematical models and correlations were incorporated into a MATLAB computer code that predicted the concentration of the species in an entire cycle after steady state is reached and data can be exported from FLUENT.
M.S.M.E.
Department of Mechanical, Materials and Aerospace Engineering;
Engineering and Computer Science
Mechanical Engineering

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41

Gorunmez, Zohre. "Finite-Difference Time-Domain (FDTD) Modeling of Nanoscale Plasmonic Substrates for Surface-Enhanced Raman Spectroscopy (SERS)." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563296001850111.

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42

Knoedler, Alexander A. (Alexander Andrew). "Reciprocity-enhanced time-division multiplexed optical switching with spatial diversity for free-space optical communication links." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122706.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2019
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 105-108).
This thesis investigates a performance analysis and experimental measurements of a free-space optical communications system that exploits optical reciprocity to switch between multiple (N) spatially-diverse apertures to increase data transmission through a scintillating channel. Electromagnetic signals, specifically optical, propagating along either direction of the same path experience the same changes in signal strength (reciprocity). A duplex link on a fading channel can use knowledge of the channel condition to decide to switch between multiple spatially diverse apertures, functionally improving the quality of the link. This concept will be referred to as "time division multiplexed (TDM) reciprocity." Higher throughput, higher received power, and lower latency can be achieved by exploiting reciprocity to choose a higher quality channel. The experimental work in this thesis includes systems measurements and assessment of components and sub-systems that enable TDM reciprocity.
This thesis outlines system requirements and trades for the N-aperture switching system. Important engineering decisions are discussed: sizing N, clock recovery, real-time atmosphere assessment, and direct versus coherent detection. The efficacy of increasing data rate with TDM reciprocity is verified by conducting an experimental BER (bit error rate) measurement campaign on a physical DPSK (differential phase shift keying) modem. The BER experiment uses scintillation data to simulate the atmosphere. The thesis concludes with results of testing of the optical switch and and a description of the driving logic for the optical switch. This switch architecture was designed with the capability to be integrated with a variable-rate, burst-mode, DPSK modem that can achieve data rates from 72 Mbps to 2.880 Gbps.
The switch is fast (<200 ns) to reduce impact on higher data rates produced by the modem, and needs to handle high power to reduce the need for multiple fiber amplifiers in the transmitter. An initial synchronization test of the switch with signal generators indicates switching without impacting error rate is possible within the DPSK modulation dead time. Aggregate gain includes a higher average received power, better receiver performance, and fixed switch insertion loss. For a link with a error-free-communication BER threshold of 1% and a scintillation index of 0.28, total gain is estimated to be 1.7 dB for N 4 and 2.7 dB for N = 10 apertures. For a link with a error-free-communication BER threshold of 1% and a scintillation index of 1.0, total gain is estimated to be 5.1 dB for N = 4 and 6.5 dB for N = 10 apertures.
Future work on the reciprocity concept could incorporate a fast switch into a dedicated fiber or free space optical experiment, rather than as an addition to an engineering modem. Future experiments should also investigate the potential of other mechanisms (e.g. high speed buffering or variable channel rates) to use knowledge of a fading channel.
United States. Air ForceContract No. FA8702- 15-D-0001
by Alexander A. Knoedler.
S.M.
S.M. Massachusetts Institute of Technology, Department of Aeronautics and Astronautics

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43

Mozaffari, Maaref Mohammad Hamed. "A Real-Time and Automatic Ultrasound-Enhanced Multimodal Second Language Training System: A Deep Learning Approach." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/40477.

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The critical role of language pronunciation in communicative competence is significant, especially for second language learners. Despite renewed awareness of the importance of articulation, it remains a challenge for instructors to handle the pronunciation needs of language learners. There are relatively scarce pedagogical tools for pronunciation teaching and learning, such as inefficient, traditional pronunciation instructions like listening and repeating. Recently, electronic visual feedback (EVF) systems (e.g., medical ultrasound imaging) have been exploited in new approaches in such a way that they could be effectively incorporated in a range of teaching and learning contexts. Evaluation of ultrasound-enhanced methods for pronunciation training, such as multimodal methods, has asserted that visualizing articulator’s system as biofeedback to language learners might improve the efficiency of articulation learning. Despite the recent successful usage of multimodal techniques for pronunciation training, manual works and human manipulation are inevitable in many stages of those systems. Furthermore, recognizing tongue shape in noisy and low-contrast ultrasound images is a challenging job, especially for non-expert users in real-time applications. On the other hand, our user study revealed that users could not perceive the placement of their tongue inside the mouth comfortably just by watching pre-recorded videos. Machine learning is a subset of Artificial Intelligence (AI), where machines can learn by experiencing and acquiring skills without human involvement. Inspired by the functionality of the human brain, deep artificial neural networks learn from large amounts of data to perform a task repeatedly. Deep learning-based methods in many computer vision tasks have emerged as the dominant paradigm in recent years. Deep learning methods are powerful in automatic learning of a new job, while unlike traditional image processing methods, they are capable of dealing with many challenges such as object occlusion, transformation variant, and background artifacts. In this dissertation, we implemented a guided language pronunciation training system, benefits from the strengths of deep learning techniques. Our modular system attempts to provide a fully automatic and real-time language pronunciation training tool using ultrasound-enhanced augmented reality. Qualitatively and quantitatively assessments indicate an exceptional performance for our system in terms of flexibility, generalization, robustness, and autonomy outperformed previous techniques. Using our ultrasound-enhanced system, a language learner can observe her/his tongue movements during real-time speech, superimposed on her/his face automatically.

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Thadesar, Paragkumar A. "Interposer platforms featuring polymer-enhanced through silicon vias for microelectronic systems." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53572.

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Novel polymer-enhanced photodefined through-silicon via (TSV) and passive technologies have been demonstrated for silicon interposers to obtain compact heterogeneous computing and mixed-signal systems. These technologies include: (1) Polymer-clad TSVs with thick (~20 µm) liners to help reduce TSV losses and stress, and obtain optical TSVs in parallel for interposer-to-interposer long-distance communication; (2) Polymer-embedded vias with copper vias embedded in polymer wells to significantly reduce the TSV losses; (3) Coaxial vias in polymer wells to reduce the TSV losses with controlled impedance; (4) Antennas over polymer wells to attain a high radiation efficiency; and (5) High-Q inductors over polymer wells. Cleanroom fabrication and characterization of the technologies have been demonstrated. For the fabricated polymer-clad TSVs, resistance and synchrotron x-ray diffraction (XRD) measurements have been demonstrated. High-frequency measurements up to 170 GHz and time-domain measurements up to 10 Gbps have been demonstrated for the fabricated polymer-embedded vias. For the fabricated coaxial vias and inductors, high-frequency measurements up to 50 GHz have been demonstrated. Lastly, for the fabricated antennas, measurements in the W-band have been demonstrated.

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45

Yenamandra, Guruvenkata Vivek Sriram Yenamandra. "Leveraging Infrastructure to Enhance Wireless Networks." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu149416669456999.

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46

Gaskill, David M. "Real-Time Auxiliary Display Devices Enhance the Performance of Thermal Array Chart Recorders." International Foundation for Telemetering, 1991. http://hdl.handle.net/10150/612938.

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International Telemetering Conference Proceedings / November 04-07, 1991 / Riviera Hotel and Convention Center, Las Vegas, Nevada
Chart recorders are needed both for producing a permanent record for post-mission analysis and for providing real-time information during a test. Immediate feedback is important when test conditions may require mid-course warnings or corrections. In the traditional galvanometer based chart recorder, the operator can look directly at the pens moving on the paper and quickly judge speed and amplitude. When using a thermal array recorder, there is a small delay between the time of printing and the time when the trace is visible. This is due to the construction of the thermal array itself. Individual printing elements are deposited on a ceramic substrate which eliminates all motion from the printing process and physically blocks the operator’s view of the printhead so that for a short time there are no visual clues as to the exact waveform position. At higher chart speed this gap only represents milliseconds of elapsed time, well below human reaction time, and therefore of no real importance. At trending speeds, however, the delay could be half a second or even more and could be a problem in some situations. The first solution offered by manufacturers of thermal array recorders was a row of LED’s that stretched across the recorder directly over the printheads and reflected printing activity in real-time and indicated the actual position of the individual waveform traces. This was found to be a satisfactory solution by most telemetrists who wanted to change to the new technology in order to take advantage of the thermal array recorder’s higher frequency response and flexible formats. While the LED array satisfies basic real-time response requirements, there are many other applications for auxiliary displays which include variable chart labeling and graphic display of waveforms.

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47

SWAMINATHAN, MOHAN. "CONTRIBUTIONS TO ENHANCE PRACTICAL IMPLEMENTATION OF LEAN MANUFACTURING IN INDUSTRIAL ENVIRONMENTS." UKnowledge, 2004. http://uknowledge.uky.edu/gradschool_theses/368.

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Traditionally manufacturing job shops either have a process layout or a product layout. The advantages of one type of layout tend to be a disadvantage for the other. Hybrid cellular constructs represents a novel fusion of process and product layouts. In this thesis, hybrid cellular constructs specifically Hybrid Flow Shops and Reoriented andamp; Reshaped Cells are clearly described in terms of their structure, key features, and modes of operation. An engineering procedure is illustrated by cases and particular manufacturing circumstances where each concept would be most useful are identified. This thesis then defines the lean practices that are compatible with the structure in question and identifies what practices are incompatible. It suggests how to modify lean practices to fit and at least obtain some benefits for the incompatible ones. Finally, a procedure for design of logistics management systems for assembly cells and lines is presented.

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48

Sherman, Stephanie M., Timothy P. Buckley, Elsa Baena, and Lee Ryan. "Caffeine Enhances Memory Performance in Young Adults during Their Non-optimal Time of Day." FRONTIERS MEDIA SA, 2016. http://hdl.handle.net/10150/622066.

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Many college students struggle to perform well on exams in the early morning. Although students drink caffeinated beverages to feel more awake, it is unclear whether these actually improve performance. After consuming coffee (caffeinated or decaffeinated), college-age adults completed implicit and explicit memory tasks in the early morning and late afternoon (Experiment 1). During the morning, participants ingesting caffeine demonstrated a striking improvement in explicit memory, but not implicit memory. Caffeine did not alter memory performance in the afternoon. In Experiment 2, participants engaged in cardiovascular exercise in order to examine whether increases in physiological arousal similarly improved memory. Despite clear increases in physiological arousal, exercise did not improve memory performance compared to a stretching control condition. These results suggest that caffeine has a specific benefit for memory during students' non-optimal time of day-early morning. These findings have real-world implications for students taking morning exams.

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49

Emanuele, Vincent A. II. "Advancements in high throughput protein profiling using surface enhanced laser desorption/ionization time of flight mass spectrometry." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37287.

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Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI)is one of several proteomics technologies that can be used in biomarker discovery studies. Such studies often have the goal of finding protein markers that predict early onset of cancers such as cervical cancer. The reproducibility of SELDI has been shown to be an issue in the literature. There are numerous sources of error in a SELDI experiment starting with sample collection from patients to the signal processing steps used to estimate the protein mass and abundance values present in a sample. This dissertation is concerned with all aspects of signal processing related to SELDI's use in biomarker discovery projects. In chapter 2, we perform a comprehensive study of the most popular preprocessing algorithms available. Next, in chapter 3, we study the basic statistics of SELDI data acquisition. From here, we propose a quadratic variance measurement model for buffer+matrix only spectra. This model leads us to develop a modified Antoniadis-Sapatinas wavelet denoising algorithm that demonstrates superior performance when compared to MassSpecWavelet, one of the leading techniques for preprocessing SELDI data. In chapter 4, we show that the quadratic variance model 1) extends to real pooled cervical mucus QC data from a clinical study, 2) predicts behavior and reproducibility of peak heights, and 3) finds four times as many reproducible peaks as the vendor-supplied preprocessing programs. The quadratic variance measurement model for SELDI data is fundamental and promises to lead to improved techniques for analyzing the data from clinical studies using this instrument.

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50

Hara, Tenshi. "Analyses on tech-enhanced and anonymous Peer Discussion as well as anonymous Control Facilities for tech-enhanced Learning." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-205517.

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An increasing number of university freshmen has been observable in absolute number as well as percentage of population over the last decade. However, at the same time the drop-out rate has increased significantly. While a drop in attendance could be observed at the same time, statistics show that young professionals consider only roughly thirty percent of their qualification to originate in their university education. Taking this into consideration with the before mentioned, one conclusion could be that students fail to see the importance of fundamental classes and choose to seek knowledge elsewhere, for example in free online courses. However, the so acquired knowledge is a non-attributable qualification. One solution to this problem must be to make on-site activities more attractive. A promising approach for raised attractiveness would be to support students in self-regulated learning processes, making them experience importance and value of own decisions based on realistic self-assessment and self-evaluation. At the same time, strict ex-cathedra teaching should be replaced by interactive forms of education, ideally activating on a meta-cognitive level. Particularly, as many students bring mobile communication devices into classes, this promising approach could be extended by utilising these mobile devices as second screens. That way, enhanced learning experiences can be provided. The basic idea is simple, namely to contribute to psychological concepts with the means of computer science. An example for this idea are audience response systems. There has been numerous research into these and related approaches for university readings, but other forms of education have not been sufficiently considered, for example tutorials. This technological aspect can be combined with recent didactics research and concepts like peer instruction or visible learning. Therefore, this dissertation presents an experimental approach at providing existing IT solutions for on-site tutorials, specifically tools for audience responses, evaluations, learning demand assessments, peer discussion, and virtual interactive whiteboards. These tools are provided under observation of anonymity and cognisant incidental utilisation. They provide insight into students\' motivation to attend classes, their motivation to utilise tools, and into their tool utilisation itself. Experimental findings are combined into an extensible system concept consisting of three major tool classes: anonymous peer discussion means, anonymous control facilities, and learning demand assessment. With the exception of the latter, promising findings in context of tutorials are presented, for example the reduction of audience response systems to an emergency brake, the versatility of (peer) discussion systems, or a demand for retroactive deanonymisation of contributions. The overall positive impact of tool utilisation on motivation to attend and perceived value of tutorials is discussed and supplemented by a positive impact on the final exams\' outcomes
Über die vergangene Dekade ist eine zunehmende Zahl Studienanfänger beobachtbar, sowohl in der absoluten Anzahl, als auch im Bevölkerungsanteil. Demgegenüber steht aber eine überproportional hohe Steigerung der Abbruchquote. Während gleichzeitig die Anwesenheit in universitären Lehrveranstaltungen sinkt, zeigen Statistiken, dass nur etwa ein Drittel der Berufseinsteiger die Grundlagen ihrer Qualifikation im Studium sieht. Daraus könnte man ableiten, dass Studierende den Wert und die Bedeutung universitärer Ausbildung unterschätzen und stattdessen Wissen in anderen Quellen suchen, beispielsweise unentgeltlichen Online-Angeboten. Das auf diese Art angeeignete Wissen stellt aber eine formell nicht nachweise Qualifikation dar. Ein Weg aus diesem Dilemma muss die Steigerung der Attraktivität der universitären Lehrveranstaltungen sein. Ein vielversprechender Ansatz ist die Unterstützung der Studierenden im selbst-regulierten Lernen, wodurch sie die Wichtigkeit und den Wert eigener Entscheidung(sfindungsprozesse) auf Basis realistischer Selbsteinschätzung und Selbstevaluation erlernen. Gleichzeitig sollte Frontalunterricht durch interaktive Lehrformen ersetzt werden, idealerweise durch Aktivierung auf meta-kognitiver Ebene. Dies ist vielversprechend insbesondere, weil viele Studierende ihre eigenen mobilen Endgeräte in Lehrveranstaltungen bringen. Diese Geräte können als Second Screen für die neuen Lehrkonzepte verwendet werden. Auf diese Art kann dann eine verbesserte Lernerfahrung vermittelt werden. Die Grundidee ist simpel, nämlich in der Psychologie bewährte Didaktik-Konzepte durch die Mittel der Informatik zu unterstützen. Ein Beispiel dafür sind Audience Response Systeme, die hinlänglich im Rahmen von Vorlesungen untersucht worden sind. Andere Lehrformen wurden dabei jedoch unzureichend berücksichtigt, beispielsweise Tutorien. Ähnliche Überlegungen gelten natürlich auch für bewährte didaktische Konzepte wie Peer Instruction oder Betrachtungen in Form von Visible Learning. Deshalb präsentiert diese Dissertation einen experimentellen Ansatz, informationstechnische Lösungen für vor-Ort-Übungen anzubieten, nämlich Werkzeuge für Audience Response Systeme, Evaluationen, Lernbedarfsermittlung, Peer Discussion, sowie virtuelle interaktive Whiteboards. Die genannten Werkzeuge wurden unter Beachtung von Anonymitäts- und Beiläufigkeitsaspekten bereitgestellt. Sie erlauben einen Einblick in die Motivation der Studierenden Tutorien zu besuchen und die Werkzeuge zu nutzen, sowie ihr Nutzungsverhalten selbst. Die experimentellen Ergebnisse werden in ein erweiterbares Systemkonzept kombiniert, das drei Werkzeugklassen unterstützt: anonyme Peer Discussion, anonyme Kontrollwerkzeuge und Lernbedarfsermittlung. Für die ersten beiden Klassen liegen vielversprechende Ergebnisse vor, beispielsweise die notwendige Reduktion des Audience Response Systems auf eine Art Notbremse, die Vielseitigkeit von (Peer-)Discussion-Systemen, oder aber auch der Bedarf für eine retroaktive Deanonymisierung von initial anonymen Beiträgen. Der allgemein positive Einfluss der Werkzeugnutzung auf die Motivation an Tutorien teilzunehmen sowie den wahrgenommenen Wert der Tutorien werden abschließend diskutiert und durch verbesserte Abschlussklausurergebnisse untermauert

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