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Relevant bibliographies by topics / Array based sensing

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Academic literature on the topic 'Array based sensing'

Author: Grafiati

Published: 6 September 2023

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Journal articles on the topic "Array based sensing"

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Han, Yubing, and Jian Wang. "Adaptive Beamforming Based on Compressed Sensing with Smoothedl0Norm." International Journal of Antennas and Propagation 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/959856.

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An adaptive beamforming based on compressed sensing with smoothedl0norm for large-scale sparse receiving array is proposed in this paper. Because of the spatial sparsity of the arriving signal, compressed sensing is applied to sample received signals with a sparse array and reduced channels. The signal of full array is reconstructed by using a compressed sensing reconstruction method based on smoothedl0norm. Then an iterative linearly constrained minimum variance beamforming algorithm is adopted to form antenna beam, whose main lobe is steered to the desired direction and nulls to the directions of interferences. Simulation results and Monte Carlo analysis for linear and planar arrays show that the beam performances of our proposed adaptive beamforming are similar to those of full array antenna.

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Großmann, Toni Dirk, Ricardo Decker, Steffen Kurth, Lothar Kroll, and Thomas Otto. "Reflection based Strain Sensing using Metamaterials." Technologies for Lightweight Structures (TLS) 3, no. 1 (February 10, 2020): 25–33. http://dx.doi.org/10.21935/tls.v3i1.125.

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Resonator arrays of periodicially arranged electromagnetic sub-wavelength resonators show a strong frequency filter behaviour which can be controlled by the geometry, size and arrangement of the resonators. The use of several resonator arrays and their integration into a polymer matrix allows the realisation of metamaterials with a specific resonance behaviour. The resonance behaviour can be influenced by material and structural changes enabling a passive sensor function. The considered sensor approach based on metamaterials is investigated to enable structural health monitoring of lightweight structures. In the present case, a double-layer Jerusalem cross (JC) resonator array (RA) is integrated into a glass fibre reinforced plastic (GFRP) to analyse the change of the resonance behaviour under load (strain) using a reflection measurement. The CST (Computer Simulation Technology) Microwave Studio was used to model the resonator array for operation in the microwave frequency range between 15 GHz and 35 GHz as well as for the numerical analysis of the resonance behaviour under load. The numerical results were validated by a tensile test using a tensile test machine (type TIRATEST 28100, Tira GmbH) and by a reflection measurement using two standard gain horn antennas (type Standard Gain Horn Series 862, ARRA Inc) and a vector network analyser (type ZVA50, Rohde&Schwarz). The reflection measurement shows a reflection minimum at 28.6 GHz which moves to higher frequencies under load of the GFRP laminate. With the shift of the minimum, the quality factor decreases and the dip widens. The investigation shows that it is possible to provide a GFRP laminate with a specific electromagnetic behaviour by integrating resonator arrays. It is also shown that the specific electromagnetic behaviour can be influenced by structural changes and thus opens up the possibility of monitoring the condition of lightweight structures.

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Cao, Siyang, David Brendel, Yuan F. Zheng, and Robert L. Ewing. "Transform-Sensing Array Based on Wavelets." IEEE Transactions on Geoscience and Remote Sensing 56, no. 4 (April 2018): 2408–23. http://dx.doi.org/10.1109/tgrs.2017.2780059.

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Li, Chengli, Jianguan Tang, Cheng Cheng, Longbao Cai, and Minghong Yang. "FBG Arrays for Quasi-Distributed Sensing: A Review." Photonic Sensors 11, no. 1 (January 22, 2021): 91–108. http://dx.doi.org/10.1007/s13320-021-0615-8.

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AbstractFiber Bragg grating (FBG) array is a powerful technique for quasi-distributed sensing along the entire length of sensing fiber with fast response and high precision. It has been widely used for temperature, strain, and vibration monitoring. In this review work, an overview on the recent advances of FBG arrays is conducted. Firstly, the fabrication methods of FBG array are reviewed, which include femtosecond laser system and online writing technique. Then, the demodulation techniques for FBG arrays are presented and discussed. Distributed static sensing can be performed by demodulating wavelength shift of each FBG, while phase demodulation techniques with low noise are employed for dynamic vibration sensing. Simultaneous distributed dynamic and static sensing system based on FBG array is also outlined. Finally, possible future directions are discussed and concluded. It is believed that the FBG array has great development potential and application prospect.

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Xuhong Chu, Xuhong Chu, Liquan Dong Liquan Dong, Yuejin Zhao Yuejin Zhao, Xiaomei Yu Xiaomei Yu, and and Yun Feng and Yun Feng. "Optical readout method based on time-discrete modulation for micro-cantilever array sensing." Chinese Optics Letters 14, no. 10 (2016): 101102–6. http://dx.doi.org/10.3788/col201614.101102.

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Creran, Brian, Uwe H.F. Bunz, and Vincent M. Rotello. "Polymer – Nanoparticle Assemblies for Array Based Sensing." Current Organic Chemistry 19, no. 12 (June 12, 2015): 1054–62. http://dx.doi.org/10.2174/1385272819666150318221301.

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JIN, Peng, Akira YAMAGUCHI, Fumika ASARI OI, Shigeki MATSUO, Jiubin TAN, and Hiroaki MISAWA. "Glucose Sensing Based on Interdigitated Array Microelectrode." Analytical Sciences 17, no. 7 (2001): 841–46. http://dx.doi.org/10.2116/analsci.17.841.

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Wang, Jiaqi, Xuelei Fu, Hui Gao, Xin Gui, Honghai Wang, and Zhengying Li. "FPGA-Based Dynamic Wavelength Interrogation System for Thousands of Identical FBG Sensors." Photonics 9, no. 2 (January 29, 2022): 79. http://dx.doi.org/10.3390/photonics9020079.

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Under realistic scenarios, more fiber Bragg gratings (FBGs) are always expected to be multiplexed in one sensor array to share the expensive optical components and electrical devices. However, either the sensing number or the interrogation frequency is limited in previous works due to the huge amount of data generated from large-scale sensing arrays. This paper presents a field-programmable gate array (FPGA)-based dynamic wavelength interrogation system for thousands of identical FBGs. With the advantages of parallel controlling and pipeline processing, FPGA can accelerate the data-processing rate of the wavelength interrogation, realizing a continuous-running and real-time sensing system. The signal-processing system precisely synchronizes the generation of interrogation pulses, the acquisition of reflected signals, and the processing of the wavelength-related data, making the interrogation frequency fundamentally limited by the round-trip time of light pulses traveling in the fiber. Multiple sensing arrays can be independently carried out simultaneously, affecting hardly the interrogation frequency. Experimental results show that over 4000 FBGs with a 3-m spatial resolution in four channels are interrogated with a 150-Hz sensing frequency, 3-nm dynamic range, and ±5.9-pm sensing precision, greatly improving the interrogation frequency while ensuring the multiplexing number.

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Kuznetsov, Grigory, Vladimir Temchenko, Maxim Miloserdov, and Dmitry Voskresenskiy. "Modifications of active phased antenna arrays near-field diagnosis method based on compressive sensing." International Journal of Microwave and Wireless Technologies 11, no. 7 (July 18, 2019): 568–76. http://dx.doi.org/10.1017/s1759078719000989.

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AbstractThis paper presents two modifications of compressive sensing (CS)-based approach applied to the near-field diagnosis of active phased arrays. CS-based antenna array diagnosis allows a significant reduction of measurement time, which is crucial for the characterization of electrically large active antenna arrays, e.g. used in synthetic aperture radar. However, practical implementation of this method is limited by two factors: first, it is sensitive to thermal instabilities of the array under test, and second, excitation reconstruction accuracy strongly depends on the accuracy of the elements of the measurement matrix. First proposed modification allows taking into account of thermal instability of the array by using an iterative ℓ1-minimization procedure. The second modification increases the accuracy of reconstruction using several simple additional measurements.

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Day, Brian A., and Christopher E. Wilmer. "Genetic Algorithm Design of MOF-based Gas Sensor Arrays for CO2-in-Air Sensing." Sensors 20, no. 3 (February 10, 2020): 924. http://dx.doi.org/10.3390/s20030924.

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Gas sensor arrays, also known as electronic noses, leverage a diverse set of materials to identify the components of complex gas mixtures. Metal-organic frameworks (MOFs) have emerged as promising materials for electronic noses due to their high-surface areas and chemical as well as structural tunability. Using our recently reported genetic algorithm design approach, we examined a set of 50 MOFs and searched through over 1.125 × 1015 unique array combinations to identify optimal arrays for the detection of CO2 in air. We found that despite individual MOFs having lower selectivity for O2 or N2 relative to CO2, intelligently selecting the right combinations of MOFs enables accurate prediction of the concentrations of all components in the mixture (i.e., CO2, O2, N2). We also analyzed the physical properties of the elements in the arrays to develop an intuition for improving array design. Notably, we found that an array whose MOFs have diversity in their volumetric surface areas has improved sensing. Consistent with this observation, we found that the best arrays consistently had greater structural diversity (e.g., pore sizes, void fractions, and surface areas) than the worst arrays.

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Dissertations / Theses on the topic "Array based sensing"

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Cao, Siyang. "Radar Sensing Based on Wavelets." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1416996784.

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Severin, Erik Jon. "Array-based vapor sensing using conductive carbon black-polymer composite thin film detectors : thesis /." Caltech Library System, electronic theses, 1999. http://etd.caltech.edu/etd/available/etd-12272004-162841/.

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Thesis (Ph.D.)--California Institute of Technology, 1999.
"UMI number: 9941121"--T.p. verso. Includes bibliographical references. Also available on microfilm. On-line version available via Caltech Library System.

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Hannan, Mohammad Abdul. "Sparse Processing Methodologies Based on Compressive Sensing for Directions of Arrival Estimation." Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/278178.

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In this dissertation, sparse processing of signals for directions-of-arrival (DoAs) estimation is addressed in the framework of Compressive Sensing (CS). In particular, DoAs estimation problem for different types of sources, systems, and applications are formulated in the CS paradigm. In addition, the fundamental conditions related to the ``Sparsity'' and ``Linearity'' are carefully exploited in order to apply confidently the CS-based methodologies. Moreover, innovative strategies for various systems and applications are developed, validated numerically, and analyzed extensively for different scenarios including signal to noise ratio (SNR), mutual coupling, and polarization loss. The more realistic data from electromagnetic (EM) simulators are often considered for various analysis to validate the potentialities of the proposed approaches. The performances of the proposed estimators are analyzed in terms of standard root-mean-square error (RMSE) with respect to different degrees-of-freedom (DoFs) of DoAs estimation problem including number of elements, number of signals, and signal properties. The outcomes reported in this thesis suggest that the proposed estimators are computationally efficient (i.e., appropriate for real time estimations), robust (i.e., appropriate for different heterogeneous scenarios), and versatile (i.e., easily adaptable for different systems).

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Hannan, Mohammad Abdul. "Sparse Processing Methodologies Based on Compressive Sensing for Directions of Arrival Estimation." Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/278178.

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In this dissertation, sparse processing of signals for directions-of-arrival (DoAs) estimation is addressed in the framework of Compressive Sensing (CS). In particular, DoAs estimation problem for different types of sources, systems, and applications are formulated in the CS paradigm. In addition, the fundamental conditions related to the ``Sparsity'' and ``Linearity'' are carefully exploited in order to apply confidently the CS-based methodologies. Moreover, innovative strategies for various systems and applications are developed, validated numerically, and analyzed extensively for different scenarios including signal to noise ratio (SNR), mutual coupling, and polarization loss. The more realistic data from electromagnetic (EM) simulators are often considered for various analysis to validate the potentialities of the proposed approaches. The performances of the proposed estimators are analyzed in terms of standard root-mean-square error (RMSE) with respect to different degrees-of-freedom (DoFs) of DoAs estimation problem including number of elements, number of signals, and signal properties. The outcomes reported in this thesis suggest that the proposed estimators are computationally efficient (i.e., appropriate for real time estimations), robust (i.e., appropriate for different heterogeneous scenarios), and versatile (i.e., easily adaptable for different systems).

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Abdur, Rahman Abdur Rub. "CellMap: An Automated Multielectrode Array Cell Culture Analysis System Based on Electrochemical Impedance Spectroscopy." [Tampa, Fla] : University of South Florida, 2007. http://purl.fcla.edu/usf/dc/et/SFE0002185.

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Hudson, Robert Dearn. "Development of an integrated co-processor based power electronic drive / by Robert D. Hudson." Thesis, North-West University, 2008. http://hdl.handle.net/10394/3723.

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The McTronX research group at the North-West University is currently researching self-sensing techniques for Active Magnetic Bearings (AMB). The research is part of an ongoing effort to expand the knowledge base on AMBs in the School of Electrical, Electronic and Computer Engineering to support industries that make use of the technology. The aim of this project is to develop an integrated co-processor based power electronic drive with the emphasis placed on the ability of the co-processor to execute AMB self-sensing algorithms. The two primary techniques for implementing self-sensing in AMBs are state estimation and modulation. This research focuses on hardware development to facilitate the implementation of the modulation method. Self-sensing algorithms require concurrent processing power and speed that are well suited to an architecture that combines a digital signal processor (DSP) and a field programmable gate array (FPGA). A comprehensive review of various power amplifier topologies shows that the pulse width modulation (PWM) switching amplifier is best suited for controlling the voltage and current required to drive the AMB coils. Combining DSPs and power electronics to form an integrated co-processor based power electronic drive requires detail attention to aspects of PCB design, including signal integrity and grounding. A conceptual design is conducted and forms part of the process of compiling a subsystem development specification for the integrated drive, in conjunction with the McTronX Research Group. Component selection criteria, trade-off studies and various circuit simulations serve as the basis for this essential phase of the project. The conceptual design and development specification determines the architecture, functionality and interfaces of the integrated drive. Conceptual designs for the power amplifier, digital controller, electronic supply and mechanical layout of the integrated drive is provided. A detail design is performed for the power amplifier, digital controller and electronic supply. Issues such as component selection, power supply requirements, thermal design, interfacing of the various circuit elements and PCB design are covered in detail. The output of the detail design is a complete set of circuit diagrams for the integrated controller. The integrated drive is interfaced with existing AMB hardware and facilitates the successful implementation of two self-sensing techniques. The hardware performance of the integrated coprocessor based power electronic drive is evaluated by means of measurements taken from this experimental self-sensing setup. The co-processor performance is evaluated in terms of resource usage and execution time and performs satisfactorily in this regard. The integrated co-processor based power electronic drive provided sufficient resources, processing speed and flexibility to accommodate a variety of self-sensing algorithms thus contributing to the research currently underway in the field of AMBs by the McTronX research group at the North-West University.
Thesis (M.Ing. (Electrical Engineering))--North-West University, Potchefstroom Campus, 2009.

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Bashri, Mohd Saiful Riza. "Wearable devices for microwave head diagnostic systems." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/33243.

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Although current head imaging technologies such as magnetic resonance imaging (MRI) and computed tomography (CT) are capable of providing accurate diagnosis of brain injuries such as stroke and brain tumour, they have several limitations including high cost, long scanning time, bulky and mostly stationary. On the other hand, radar-based microwave imaging technology can offer a low cost, non-invasive and non-ionisation method to complement these existing imaging techniques. Moreover, a compact and wearable device for microwave head imaging is required to facilitate frequent or real-time monitoring of a patient by providing more comfort to the patient. Therefore, a wearable head imaging device would be a significant advantage compared to the existing wideband microwave head sensing devices which typically utilise rigid antenna structure. Furthermore, the wearable device can be integrated into different microwave imaging setups such as real-time wearable head imaging systems, portable systems and conventional stationary imaging tools for use in hospitals and clinics. This thesis presents the design and development of wearable devices utilising flexible antenna arrays and compact radio frequency (RF) switching circuits for wideband microwave head imaging applications. The design and characterisation of sensing antennas using flexible materials for the wearable head imaging device are presented in the first stage of this study. There are two main variations of monopole antennas that have been developed in this research, namely trapezoidal and elliptical configurations. The antennas have been fabricated using different flexible substrate materials such as flexible FR-4, polyethylene terephthalate (PET) and textile. Wideband performances of the antennas have been achieved by optimising their co-planar waveguide feeding line structures. Importantly, the efficiencies of the fabricated antennas have been tested using a realistic human head phantom by evaluating their impedance matching performances when operating in close proximity to the head phantom. The second stage of the study presents the development of wearable antenna arrays using the proposed flexible antennas. The first prototype has been built using an array of 12 flexible antennas and a conformal absorbing material backed with a conductive sheet to suppress the back lobe radiation of the monopole antennas. Additionally, the absorber also acts as a mounting base to hold the antennas where the wearable device can be comfortably worn like a hat during the measurement and monitoring processes. The effect of mutual coupling between adjacent antennas in the array has been investigated and optimised. However, the use of the absorbing material makes the device slightly rigid where it can only be fitted on a specific head size. Thus, a second prototype has been developed by using a head band to realise a stretchable configuration that can be mounted on different sizes of human heads. Furthermore, due to the stretchable characteristic of the prototype, the antennas can be firmly held in their positions when measurements are made. In addition, fully textile based sensing antennas are employed in this prototype making it perfectly suitable for monitoring purposes. Low cost and compact switching circuits to provide switching mechanism for the wearable antenna array are presented in the third stage of this study. The switching circuit is integrated with the antenna array to form a novel wearable microwave head imaging device eliminating the use of external bulky switching network. The switching circuit has been built using off-the-shelf components where it can be controlled wirelessly over Bluetooth connection. Then, a new integrated switching circuit prototype has been fabricated using 6-layer printed circuit board (PCB) technology. For the purpose of impedance matching for the radio-frequency (RF) routing lines on the circuit, a wideband Microstrip-to-Microstrip transition is utilised. The final stage of this study investigates the efficacy and sensitivity of the proposed wearable devices by performing experiments on developed realistic human head phantoms. Initially, a human head phantom has been fabricated using food-based ingredients such as tap water, sugar, salt, and agar. Subsequently, lamb's brains have been used to improve the head phantom employed in the experiments to better mimic the heterogeneous human brain. In terms of imaging process, an interpolation technique developed using experimental data has been proposed to assist the localisation of a haemorrhage stroke location using the confocal delay-and-sum algorithm. This new technique is able to provide sensible accuracy of the location of the blood clot inside the brain. The wearable antenna arrays using flexible antennas and their integrations with compact and low cost switching circuits reported in this thesis make valuable contribution to microwave head imaging field. It is expected that a low-cost, compact and wearable radar-based microwave head imaging can be fully realised in the future for wide range of applications including static scanning setup in hospitals, portable equipment in ambulances and as a standalone wearable head monitoring system for remote and real-time monitoring purposes.

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Ballard, Brett S. "Feature Based Image Mosaicing using Regions of Interest for Wide Area Surveillance Camera Arrays with Known Camera Ordering." University of Dayton / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1304090273.

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PALMARA, GIANLUCA. "Microcantilever-based sensing arrays for evaluation of biomolecular interactions." Doctoral thesis, Politecnico di Torino, 2016. http://hdl.handle.net/11583/2639290.

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The controlled immobilization on a surface of biomolecules used as recognition elements is of fundamental importance in order to realize highly specific and sensible biosensors. Microcantilevers (MC) are nanomechanical sensors, which can be used as label free micro-sized mechanical transducers. MC resonant frequency is sensitively modified upon molecules adsorption, demonstrating an impressive mass resolution. A widely used approach for the immobilization of biorecognition elements on silicon substrates consists in the deposition of 3-aminopropyl-triethoxysilane (APTES) followed by the incubation with glutaraldehyde (GA) as a crosslinking agent. However, these derivatization processes produce a variable chemical functionalization because of the spontaneous polymerization of GA in aqueous solutions. With the aim of producing a more reliable chemical functionalization for protein immobilization, the deposition of a thin film of APTES by self-assembly followed by the modification of its amino groups into carboxyl groups by incubating in succinic anhydride (SA) is proposed. Moreover, the activation of these terminal carboxyl groups were performed by using the EDC/s-NHS protocol in order to enhance their reactivity toward primary amine groups present on biomolecules surface. This method was characterized from a physico-chemical point of view by means of compositional and morphological surface analysis. Moreover, data acquired after the application of this functionalization to a MC-based system showed a highly reproducible deposition of APTES/SA when compared to APTES/GA deposition process. APTES/SA derivatized MC arrays were then incubated with biomolecules for the study of its protein binding capability: the quantification of the grafted biomolecules was performed from the gravimetric data and compared with a theoretical surface density calculated through a molecular modeling tool, providing information about the orientation of the proteins tethered to the surface. In order to avoid or reduce non-specific protein interactions, Bovine Serum Albumin and ethanolamine were considered for their blocking capability. Finally, the detection of the envelope glycoprotein domain III of the Dengue virus type 1 based on immune-specific recognition through the DV32.6 antibody was performed, providing a stoichiometry ratio for the DIII-DV1/DV32.6 interaction. Currently, no cure or vaccine are available; thus, a better understanding of the interactions between the viruses and specific antibodies is expected to provide fundamental information for the development of a vaccine.

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Du, Cong. "Iridescent paper-based polymerized colloidal crystal arrays for molecular sensing." Thesis, McGill University, 2013. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=119739.

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Polymerized colloidal crystal arrays (PCCAs) are colloidal crystal arrays that are embedded in a hydrogel matrix. Because they exhibit iridescent colour that can change in response to external stimuli, they have potential to be useful sensing materials. In this research, a new testing platform was synthesized by immobilizing PCCAs on filter paper. This is possible because paper is a porous, hydrophilic, and compliant support. Two methods were developed to optimize these so-called paper-based PCCAs (PB-PCCAs, M. Li, M.Eng. thesis, McGill University). A two-step method involves crystallizing colloidal spheres on paper and then applying a hydrogel to fix the array. Here, the temperature, cast size, dispersion concentration, contact angle of the colloidal dispersion with the mould, and filter paper type all influence the crystallization quality. In a simpler one-step method, PB-PCCAs can be assembled by directly depositing colloidal spheres in pre-gel solution onto paper or gel-filled paper. The one-step method produces much more intense and uniform iridescent colour, and uses significantly less gel and nanoparticles. Both techniques have been optimized to produce superior colour and surface texture than achieved previously, thereby paving the way toward our ultimate goal of developing aptamer functionalized colloidal crystal arrays for molecular- and bio-sensing.
Polymérisés réseaux cristallins colloïdaux (PCCAs) sont des réseaux cristallins colloïdaux qui sont incorporés dans une matrice d'hydrogel. Parce qu'ils présentent une couleur irisée qui peut changer à cause des stimuli externes, ils ont le potentiel d'être utilisé en matériaux de détection. Dans le cadre de cette recherche, une plate-forme de test nouvelle a été synthétisée en immobilisant PCCAs sur un papier filtrant. Ceci est possible parce que le papier est un support poreux hydrophile, et flexible. Deux méthodes ont été développées afin d'optimiser ces soi-disant à base de papier PCCAs (PB-PCCAs, M. Li, M.Eng. Thèse, Université McGill). Procédé en deux étapes est la cristallisation des sphères colloïdales sur papier et puis la application de un hydrogel pour fixer la matrice. Ici, la température, la taille coulée, la concentration en dispersion, l'angle de contact de la dispersion colloïdale sur le moule, et le type de papier filtrant ont tout influence sur la qualité de cristallisation. Dans un simple procédé d'une seule étape, PB-PCCAs peut être assemblé en déposant les sphères colloïdales et le solution de pré-gel sur du papier ou du papier rempli de gel. Cette méthode produit beaucoup plus de couleur intense et uniforme, et utilise beaucoup moins de gel et de nanoparticules. Les deux techniques ont été optimisées pour produire des mieux couleurs et la mieux texture de surface. Cela nous aidera à développer aptamères fonctionnalisés réseaux cristallins colloïdaux pour la molécule de détection enfin.

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Books on the topic "Array based sensing"

1

Singh, Avinash, and Hema Singh. Low Radar Cross Section His-Based Phased Array. Taylor & Francis Group, 2020.

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Low Radar Cross Section HIS-Based Phased Array: Radiation and Scattering Analysis. Taylor & Francis Group, 2020.

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Singh, Avinash, and Hema Singh. Low Radar Cross Section HIS-Based Phased Array: Radiation and Scattering Analysis. Taylor & Francis Group, 2020.

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Pettorelli, Nathalie. Satellite Remote Sensing and the Management of Natural Resources. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198717263.001.0001.

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This book intends to familiarise prospective users in the environmental community with satellite remote sensing technology and its applications, introducing terminology and principles behind satellite remote sensing data and analyses. It provides a detailed overview of the possible applications of satellite data in natural resource management, demonstrating how ecological knowledge and satellite-based information can be effectively combined to address a wide array of current natural resource management needs. Topics considered include the use of satellite data to monitor the various dimensions of biodiversity; the use of this technology to track pressures on biodiversity such as invasive species, pollution, and illegal fishing; the utility of satellite remote sensing to inform the management of protected areas, translocation, and habitat restoration; and the contribution of satellite remote sensing towards the monitoring of ecosystem services and wellbeing. The intended audience is ecologists and environmental scientists; the book is targeted as a handbook and is therefore also suitable for advanced undergraduate and postgraduate students in the biological and ecological sciences, as well as policy makers and specialists in the fields of conservation biology, biodiversity monitoring, and natural resource management. The book assumes no prior technical knowledge of satellite remote sensing systems and products. It is written so as to generate interest in the ecological, environmental management, and remote sensing communities, highlighting issues associated with the emergence of truly synergistic approaches between these disciplines.

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Book chapters on the topic "Array based sensing"

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Saleem, Ilyas, Syed Muzahir Abbas, Subhas Mukhopadhyay, and M. A. B. Abbasi. "Coupled Monopole Antenna Array for IoT Based Smart Home Devices and Sensors." In Sensing Technology, 414–20. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-29871-4_42.

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Şener, Gülsu, and Adil Denizli. "Colorimetric Sensor Array Based on Amino Acid-Modified Gold Nanoparticles for Toxic Metal Ion Detection in Water." In Biomimetic Sensing, 75–80. New York, NY: Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-9616-2_6.

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Yang, Jian, Jian Lu, Bo Hou, and Xinxin Liu. "Compressive Sensing-Based Array Antenna Optimization for Adaptive Beamforming." In Lecture Notes in Electrical Engineering, 150–58. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8411-4_19.

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Peng, Nian, Wei Meng, Quan Liu, and Shengquan Xie. "Gait Analysis and Phase Recognition Based on Array Fiber Optic Sensing Insole." In Intelligent Robotics and Applications, 37–48. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13835-5_4.

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Gao, Zhen, Ziwei Wan, Yikun Mei, Keke Ying, and Kuiyu Wang. "Compressive Sensing Based Channel Estimation for MmWave Full-Dimensional Lens Antenna Array." In Millimeter-Wave/Sub-Terahertz Ultra-Massive MIMO Transmission Technology, 41–60. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2388-5_3.

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Pontes, Bruno, Marcio Cunha, Rafael Pinho, and Hugo Fuks. "Human-Sensing: Low Resolution Thermal Array Sensor Data Classification of Location-Based Postures." In Distributed, Ambient and Pervasive Interactions, 444–57. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58697-7_33.

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Silzel, John W., Charles Dodson, Robert J. Obremski, and Tsong Tsay. "Mass-Sensing Multianalyte Micro-Array Based Immunoassay by Direct Nir Fluorescence and Quantitative Image Analysis." In Micro Total Analysis Systems ’98, 65–68. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-5286-0_15.

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Gasquez, J., B. Giraud, P. Boivin, Y. Moustapha-Rabault, V. Della Marca, J. P. Walder, and J. M. Portal. "A Regulated Sensing Solution Based on a Self-reference Principle for PCM + OTS Memory Array." In VLSI-SoC: Technology Advancement on SoC Design, 225–43. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-16818-5_11.

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Floc’h, J. M., I. Ben Trad, A. Ferreol, and P. Thaly. "Design and realization of a broadband printed dipole array for the radio-localization of mobile phones from drones." In Innovative and Intelligent Technology-Based Services for Smart Environments – Smart Sensing and Artificial Intelligence, 103–9. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781003181545-16.

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Dahiya, R. S., D. Cattin, A. Adami, C. Collini, L. Barboni, M. Valle, L. Lorenzelli, R. Oboe, G. Metta, and F. Brunetti. "Tactile Sensing Systems Based on POSFET Sensing Arrays." In Lecture Notes in Electrical Engineering, 181–86. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4614-0935-9_31.

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Conference papers on the topic "Array based sensing"

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Bolstad, Andrew K., James E. Vian, Jonathan D. Chisum, and Youngho Suh. "An array-based compressed sensing receiver architecture." In 2016 IEEE International Symposium on Phased Array Systems and Technology (PAST). IEEE, 2016. http://dx.doi.org/10.1109/array.2016.7832659.

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Escobedo, Carlos, Paul Wood, Reuven Gordon, Alexandre G. Brolo, and David Sinton. "Flow-Through Nanohole Array Based Sensing." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-11895.

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Integration of nanohole array based sensing in microfluidic environments has been focus of several recent works. However, nanohole array based sensing performed to date has involved dead-ended holes that fail to harness the potential benefits provided by flow-through operation. Potential benefits include enhanced transport of reactants via nanoconfinement and solution sieving. Here, we describe computer based analysis related with nanofluidic transport and solid mechanics under a flow-through sensing scheme. We also demonstrate experimental nanofluidic flow-through transport and its application to real-time monitoring of self-assembled monolayer creation and biomarker detection.

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Wang, Jian, Wei-xing Sheng, Yu-bing Han, and Xiao-feng Ma. "Adaptive digital beamforming algorithm of circle array based on compressed sensing." In 2013 IEEE International Symposium on Phased Array Systems and Technology (ARRAY 2013). IEEE, 2013. http://dx.doi.org/10.1109/array.2013.6731881.

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Lotfi, Mahsa, and Mathukumalli Vidyasagar. "Array LDPC Code-based Compressive Sensing." In 2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE, 2018. http://dx.doi.org/10.1109/allerton.2018.8635990.

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Ferhanoglu, Onur, M. Fatih Toy, and Hakan Urey. "Parylene-based uncooled thermomechanical array." In SPIE Defense, Security, and Sensing. SPIE, 2009. http://dx.doi.org/10.1117/12.818951.

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Nguyen, Lam H., Jeffrey Sichina, and Marc A. Ressler. "Time-based sparse-array beamforming." In Aerospace/Defense Sensing, Simulation, and Controls, edited by Edmund G. Zelnio. SPIE, 2001. http://dx.doi.org/10.1117/12.438234.

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Escobedo, Carlos, Fatemeh Eftekhari, Jacqueline Ferreira, Paul Wood, Reuven Gordon, Alexandre G. Brolo, and David Sinton. "Nanohole Arrays as Optical and Fluidic Elements for Sensing." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-67832.

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Arrays of nanoholes in metal films present several opportunities as surface based sensors in lab-on-chip systems. Metallic nanohole arrays support surface electromagnetic waves that enable enhanced transmission through the holes and have been harnessed for chemical and biological sensing. Nanohole array based sensing performed to date has involved nanoholes that end shortly beyond the metallic film layer on a substrate such as glass. Such dead-ended holes fail to harness the potential of through-hole nanohole arrays including enhanced transport of reactants to the active area and a solution sieving action that is unique among surface-based sensing methods. In this work we investigate the potential of a flow-through-array sensing format.

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Qin, Lan, Ying Liu, and Qing Li. "Tactile sensing array based on conductive rubber." In Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation, edited by Jiancheng Fang and Zhongyu Wang. SPIE, 2006. http://dx.doi.org/10.1117/12.718026.

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Butko, Adam, Suresh Sivanandam, Siqi Liu, Shaojie Chen, Tim Hardy, Jean-Pierre Véran, and Philip M. Hinz. "Developing an infrared APD array camera for near-infrared wavefront sensing." In Ground-based and Airborne Instrumentation for Astronomy VII, edited by Hideki Takami, Christopher J. Evans, and Luc Simard. SPIE, 2018. http://dx.doi.org/10.1117/12.2314367.

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Gu, Yujie, Chengwei Zhou, Nathan A. Goodman, Wen-Zhan Song, and Zhiguo Shi. "Coprime array adaptive beamforming based on compressive sensing virtual array signal." In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2016. http://dx.doi.org/10.1109/icassp.2016.7472224.

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Reports on the topic "Array based sensing"

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Asher, Sanford A. Novel Approaches to Glucose Sensing Based on Polymerized Crystalline Colloidal Array Hydrogel Sensors. Fort Belvoir, VA: Defense Technical Information Center, December 2006. http://dx.doi.org/10.21236/ada631491.

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