Relevant bibliographies by topics / Synthetic sensor

Academic literature on the topic 'Synthetic sensor'

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Published: 14 March 2023

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Journal articles on the topic "Synthetic sensor"

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Veeramuthu, Loganathan, Manikandan Venkatesan, Fang-Cheng Liang, Jean-Sebastien Benas, Chia-Jung Cho, Chin-Wen Chen, Ye Zhou, Rong-Ho Lee, and Chi-Ching Kuo. "Conjugated Copolymers through Electrospinning Synthetic Strategies and Their Versatile Applications in Sensing Environmental Toxicants, pH, Temperature, and Humidity." Polymers 12, no. 3 (March 5, 2020): 587. http://dx.doi.org/10.3390/polym12030587.

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Conjugated copolymers (CCPs) are a class of polymers with excellent optical luminescent and electrical conducting properties because of their extensive π conjugation. CCPs have several advantages such as facile synthesis, structural tailorability, processability, and ease of device fabrication by compatible solvents. Electrospinning (ES) is a versatile technique that produces continuous high throughput nanofibers or microfibers and its appropriate synchronization with CCPs can aid in harvesting an ideal sensory nanofiber. The ES-based nanofibrous membrane enables sensors to accomplish ultrahigh sensitivity and response time with the aid of a greater surface-to-volume ratio. This review covers the crucial aspects of designing highly responsive optical sensors that includes synthetic strategies, sensor fabrication, mechanistic aspects, sensing modes, and recent sensing trends in monitoring environmental toxicants, pH, temperature, and humidity. In particular, considerable attention is being paid on classifying the ES-based optical sensor fabrication to overcome remaining challenges such as sensitivity, selectivity, dye leaching, instability, and reversibility.
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Leja, Laura, Vitālijs Purlans, Rihards Novickis, Andrejs Cvetkovs, and Kaspars Ozols. "Mathematical Model and Synthetic Data Generation for Infra-Red Sensors." Sensors 22, no. 23 (December 3, 2022): 9458. http://dx.doi.org/10.3390/s22239458.

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A key challenge in further improving infrared (IR) sensor capabilities is the development of efficient data pre-processing algorithms. This paper addresses this challenge by providing a mathematical model and synthetic data generation framework for an uncooled IR sensor. The developed model is capable of generating synthetic data for the design of data pre-processing algorithms of uncooled IR sensors. The mathematical model accounts for the physical characteristics of the focal plane array, bolometer readout, optics and the environment. The framework permits the sensor simulation with a range of sensor configurations, pixel defectiveness, non-uniformity and noise parameters.
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Jhuo, Yan-Ru, Chi-Yu Chen, Yu-Hsuan Yang, Hsing-Chuan Hsieh, and Yuh-Jye Lee. "Continuous Monitoring of the Ambient Factors via ε-Smooth Support Vector Regression." Proceedings 31, no. 1 (November 21, 2019): 63. http://dx.doi.org/10.3390/proceedings2019031063.

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Thanks to the advances of the Internet of Things (IoTs), more and more wireless sensor networks applications have been realized. One of the fundamental but crucial applications is the continuous monitoring of environmental factors including temperature, humidity, illumination, etc. We develop a nonlinear regression model which takes spatial and temporal information into account to construct a globally three-dimensional heat map for a closed space based on very sparse sensor deployment. However, fitting the whole-space heat map with a very limited number of sensor observations gives a very poor estimation when we use a nonlinear model. We call it the coverage hole problem. We utilize the uniform experimental design which is well known in industrial statistics to allocate the synthetic sensors. We estimate those synthetic sensor readings on the basis of linear model locally. We then apply ε -SSVR, a nonlinear support vector regression model to fit the globally three-dimensional heat map by combining real sensor and synthetic sensor readings. The numerical results demonstrate our proposed model can enhance the accuracy significantly.
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Hoa, Nguyen Duc, Nguyen Van Duy, Sherif A. El-Safty, and Nguyen Van Hieu. "Meso-/Nanoporous Semiconducting Metal Oxides for Gas Sensor Applications." Journal of Nanomaterials 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/972025.

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Development and/or design of new materials and/or structures for effective gas sensor applications with fast response and high sensitivity, selectivity, and stability are very important issues in the gas sensor technology. This critical review introduces our recent progress in the development of meso-/nanoporous semiconducting metal oxides and their applications to gas sensors. First, the basic concepts of resistive gas sensors and the recent synthesis of meso-/nanoporous metal oxides for gas sensor applications are introduced. The advantages of meso-/nanoporous metal oxides are also presented, taking into account the crystallinity and ordered/disordered porous structures. Second, the synthesis methods of meso-/nanoporous metal oxides including the soft-template, hard-template, and temple-free methods are introduced, in which the advantages and disadvantages of each synthetic method are figured out. Third, the applications of meso-/nanoporous metal oxides as gas sensors are presented. The gas nanosensors are designed based on meso-/nanoporous metal oxides for effective detection of toxic gases. The sensitivity, selectivity, and stability of the meso-/nanoporous gas nanosensors are also discussed. Finally, some conclusions and an outlook are presented.
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Grabka, Michał, Przemysław Kula, Mateusz Szala, Krzysztof Jasek, and Michał Czerwiński. "Fluorophenol-Containing Hydrogen-Bond Acidic Polysiloxane for Gas Sensing-Synthesis and Characterization." Polymers 14, no. 6 (March 13, 2022): 1147. http://dx.doi.org/10.3390/polym14061147.

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In this work, the synthesis of a new polysiloxane, poly {dimethylsiloxane-co-[4-(2,3-difluoro-4-hydroxyphenoxy) butyl] methylsiloxane} (dubbed PMFOS), is presented. This polymer exhibits high hydrogen bond acidity and was designed to be used as a sensor layer in gas sensors. The description of the synthetic route of the PMFOS has been divided into two main stages: the synthesis of the functional substituent 4-(but-3-en-1-yloxy)-2,3-difluorophenol, and the post-polymerization functionalization of the polysiloxane chain (methylhydrosiloxane-dimethylsiloxane copolymer) via hydrosilylation. The synthesized material was subjected to instrumental analysis, which confirmed its structure. The performed thermal analysis made it possible to determine some properties important for the sensor application, such as glass transition temperature and decomposition temperature. The results showed that PMFOS meets the requirements for materials intended for use in gas sensors based on acoustoelectric transducers.
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TORMO GARCIA, FRANCISCO JAVIER, Juan Ivorra Martínez, Teodomiro Boronat, and NESTOR MONTAÑES MUÑOZ. "LOW-COST FABRICATION AND CHARACTERISATION OF A FLEXIBLE GRAPHITE-BASED TOUCH SENSOR." DYNA DYNA-ACELERADO (October 26, 2022): [ 5 pp.]. http://dx.doi.org/10.6036/10577.

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This paper presents a new method to produce a flexible piezoresistive sensor based on graphite. Under the premise of low-cost manufacturing, the materials used are easy to acquire and the manufacturing process consists of a simple transfer and exfoliation of a graphite paste thus obtaining flexible sheets. These sensors exhibit high sensitivity to touch and pressure. To characterise their response, an ad hoc method has been developed to recreate the interaction of the sensor with a human finger, which is shown in detail. The result presented is a highly sensitive graphite sensor, stable, easily integrated and with multiple application possibilities, for example in intelligent prostheses, in systems for capturing the movement of the human body and even for use as synthetic skin. Key Words: Graphite, piezoresistive flexible sensor, low cost, tactile, synthetic skin.
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Xu, Chen-Yan, Kang-Ping Ning, Zheng Wang, Yao Yao, Qin Xu, and Xiao-Ya Hu. "Flexible Electrochemical Platform Coupled with In Situ Prepared Synthetic Receptors for Sensitive Detection of Bisphenol A." Biosensors 12, no. 12 (November 25, 2022): 1076. http://dx.doi.org/10.3390/bios12121076.

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A flexible electrochemical sensor based on the carbon felt (CF) functionalized with Bisphenol A (BPA) synthetic receptors was developed. The artificial Bisphenol A receptors were grafted on the CF by a simple thermal polymerization molecular imprinting process. Fourier-transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM) and electrochemical characterizations were used to analyze the receptors. Characterization results demonstrated that the Bisphenol A synthetic receptors successfully formed on the CFs surface. Because the synthetic receptor and the porous CFs were successfully combined, the sensor displayed a better current response once Bisphenol A was identified. The sensor’s linear range was determined to be from 0.5 to 8.0 nM and 10.0 to 300.0 nM, with a detection limit of 0.36 nM. Even after being bent and stretched repeatedly, the electrode’s performance was unaffected, demonstrating the robustness, adaptability and viability of installing the sensor on flat or curved surfaces for on-site detection. The designed electrochemical sensor has been used successfully to identify Bisphenol A in milk samples with satisfactory results. This work provided a promising platform for the design of implantable, portable and miniaturized sensors.
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Cavalli, Rosa Maria. "The Weight of Hyperion and PRISMA Hyperspectral Sensor Characteristics on Image Capability to Retrieve Urban Surface Materials in the City of Venice." Sensors 23, no. 1 (January 1, 2023): 454. http://dx.doi.org/10.3390/s23010454.

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Following the success of the first hyperspectral sensor, the evaluation of hyperspectral image capability became a challenge in research, which mainly focused on improving image pre-processing and processing steps to minimize their errors, whereas in this study, the focus was on the weight of hyperspectral sensor characteristics on image capability in order to distinguish this effect from errors caused by image pre-processing and processing steps and improve our knowledge of errors. For these purposes, two satellite hyperspectral sensors with similar spatial and spectral characteristics (Hyperion and PRISMA) were compared with corresponding synthetic images, and the city of Venice was selected as the study area. After creating the synthetic images, the errors in the simulation of Hyperion and PRISMA images were evaluated (1.6 and 1.1%, respectively). The same spectral unmixing procedure was performed using real and synthetic images, and their accuracies were compared. The spectral accuracies in root mean square error were equal to 0.017 and 0.016, respectively. In addition, 72.3 and 77.4% of these values were related to sensor characteristics. The spatial accuracies in the mean absolute error were equal to 3.93 and 3.68, respectively. A total of 55.6 and 59.0% of these values were related to sensor characteristics, and 22.6 and 22.3% were related to co-localization and spatial resampling errors. The difference between the radiometric precision values of the sensors was 6.81 and 5.91% regarding the spectral and spatial accuracies of Hyperion image. In conclusion, the results of this study showed that the combined use of two or more real hyperspectral images with similar characteristics and their synthetic images quantifies the weight of hyperspectral sensor characteristics on their image capability and improves our knowledge regarding processing errors, and thus image capability.
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Sherman, Christopher, Robert Mellors, Joseph Morris, and Frederick Ryerson. "Geomechanical modeling of distributed fiber-optic sensor measurements." Interpretation 7, no. 1 (February 1, 2019): SA21—SA27. http://dx.doi.org/10.1190/int-2018-0063.1.

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Fiber-optic-based distributed acoustic sensors (DAS) are a new technology that can be deployed in a well and are continuously interrogated during operations. These sensors measure the strain (or strain rate) at all points along the fiber and have been used extensively to monitor hydraulic stimulations. The data from these sensors indicate that they are sensitive to high-frequency signals associated with microseismicity and low-frequency signals associated with fracture growth. We have developed a set of idealized models to simulate these signals and to identify interpretation methods that may be used to estimate fracture location, geometry, and extent. We use a multiphysics code that includes rock physics, fluid flow, and elastic-wave propagation to generate synthetic DAS measurements from a set of simple models that mimic hydraulic fracturing. We then relate the signals observed in the synthetic DAS to specific features in the model such as fracture height, width, and aperture. Our results demonstrate that the synthetic DAS measurements may be used to interpret field DAS measurements and to optimize the design of future sensor deployments for sensitivity to fracture attributes.
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Min, Jun-Ki. "CMOS: Efficient Clustered Data Monitoring in Sensor Networks." Scientific World Journal 2013 (2013): 1–11. http://dx.doi.org/10.1155/2013/704957.

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Tiny and smart sensors enable applications that access a network of hundreds or thousands of sensors. Thus, recently, many researchers have paid attention to wireless sensor networks (WSNs). The limitation of energy is critical since most sensors are battery-powered and it is very difficult to replace batteries in cases that sensor networks are utilized outdoors. Data transmission between sensor nodes needs more energy than computation in a sensor node. In order to reduce the energy consumption of sensors, we present an approximate data gathering technique, called CMOS, based on the Kalman filter. The goal of CMOS is to efficiently obtain the sensor readings within a certain error bound. In our approach, spatially close sensors are grouped as a cluster. Since a cluster header generates approximate readings of member nodes, a user query can be answered efficiently using the cluster headers. In addition, we suggest an energy efficient clustering method to distribute the energy consumption of cluster headers. Our simulation results with synthetic data demonstrate the efficiency and accuracy of our proposed technique.
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Dissertations / Theses on the topic "Synthetic sensor"

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Kallin, Niklas. "Sensor simulation Is - AGXUnity a viable platform for adding synthetic sensors." Thesis, Umeå universitet, Institutionen för datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-158017.

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When developing algorithms for autonomous vehicles it is important to test several different scenarios many times. New and untested algorithms are prone to make errors which results in accidents. It is therefore preferred to use a simulation environment instead. Sensors used to determine the vehicle’s position must then be modelled. This thesis answers the question whether adding sensor simulation to an existing simulation platform (AGXUnity) is viable, or if using other existing options is preferred. To reach the goal, a function-based sensor is developed and its accuracy tested. Its performance is determined by simulation in a standard scene. Tests showed that the sensor had acceptable accuracy and performance. The conclusion is that AGXUnity is a viable platform for sensor simulation.
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Clare, Anthony Joseph. "Real-time modelling and sensor fusion for a synthetic vision system." Thesis, University of Sheffield, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.434515.

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Rosander, Regina. "Sensor fusion between a Synthetic Attitude and Heading Reference System and GPS." Thesis, Linköping University, Department of Electrical Engineering, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1766.

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Sensor fusion deals with the merging of several signals into one, extracting a better and more reliable result. Traditionally the Kalmanfilter is used for this purpose and the aircraft navigation has benefited tremendously from its use. This thesis considers the merge of two navigation systems, the GPS positioning system and the Saab developed Synthetic Attitude and Heading Reference System (SAHRS). The purpose is to find a model for such a fusion and to investigate whether the fusion will improve the overall navigation performance. The non-linear nature of the navigation equations will lead to the use of the extended Kalman filter and the model is evaluated against both simulated and real data. The results show that this strategy indeed works but problems will arise when the GPS signal falls away.

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Meng, Rui Daniel. "Design and implementation of sensor fusion for the towed synthetic aperture sonar." Thesis, University of Canterbury. Electrical and Computer Engineering, 2007. http://hdl.handle.net/10092/1199.

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For synthetic aperture imaging, position and orientation deviation is of great concern. Unknown motions of a Synthetic Aperture Sonar (SAS) can blur the reconstructed images and degrade image quality considerably. Considering the high sensitivity of synthetic aperture imaging technique to sonar deviation, this research aims at providing a thorough navigation solution for a free-towed synthetic aperture sonar (SAS) comprising aspects from the design and construction of the navigation card through to data postprocessing to produce position, velocity, and attitude information of the sonar. The sensor configuration of the designed navigation card is low-cost Micro-Electro-Mechanical-Systems (MEMS) Magnetic, Angular Rate, and Gravity (MARG) sensors including three angular rate gyroscopes, three dual-axial accelerometers, and a triaxial magnetic hybrid. These MARG sensors are mounted orthogonally on a standard 180mm Eurocard PCB to monitor the motions of the sonar in six degrees of freedom. Sensor calibration algorithms are presented for each individual sensor according to its characteristics to precisely determine sensor parameters. The nonlinear least square method and two-step estimator are particularly used for the calibration of accelerometers and magnetometers. A quaternion-based extended Kalman filter is developed based on a total state space model to fuse the calibrated navigation data. In the model, the frame transformations are described using quaternions instead of other attitude representations. The simulations and experimental results are demonstrated in this thesis to verify the capability of the sensor fusion strategy.
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Holder, Martin Friedrich [Verfasser], Hermann [Akademischer Betreuer] Winner, and Erwin [Akademischer Betreuer] Biebl. "Synthetic Generation of Radar Sensor Data for Virtual Validation of Autonomous Driving / Martin Friedrich Holder ; Hermann Winner, Erwin Biebl." Darmstadt : Universitäts- und Landesbibliothek, 2021. http://d-nb.info/1233429426/34.

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Riedel, Jan Verfasser], Reinhard [Akademischer Betreuer] Köster, and Dagmar [Akademischer Betreuer] [Wirth. "Development of a synthetic sensor system for the detection of infectious and inflammatory signals / Jan Riedel ; Reinhard Köster, Dagmar Wirth." Braunschweig : Technische Universität Braunschweig, 2019. http://d-nb.info/1194158609/34.

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Prendes, Jorge. "New statistical modeling of multi-sensor images with application to change detection." Thesis, Université Paris-Saclay (ComUE), 2015. http://www.theses.fr/2015SACLC006/document.

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Les images de télédétection sont des images de la surface de la Terre acquises par des satellites ou des avions. Ces images sont de plus en plus disponibles et leur technologies évoluent rapidement. On peut observer une amélioration des capteurs existants, mais de nouveaux types de capteurs ont également vu le jour et ont montré des propriétés intéressantes pour le traitement d'images. Ainsi, les images multispectrales et radar sont devenues très classiques.La disponibilité de différents capteurs est très intéressante car elle permet de capturer une grande variété de propriétés des objets. Ces propriétés peuvent être exploitées pour extraire des informations plus riches sur les objets. Une des applications majeures de la télédétection est la détection de changements entre des images multi-temporelles (images de la même scène acquise à des instants différents). Détecter des changements entre des images acquises par des capteurs homogènes est un problème classique. Mais le problème de la détection de changements entre images acquises par des capteurs hétérogènes est un problème beaucoup plus difficile.Avoir des méthodes de détection de changements adaptées aux images issues de capteurs hétérogènes est nécessaire pour le traitement de catastrophes naturelles. Des bases de données constituées d'images optiques sont disponible, mais il est nécessaire d'avoir de bonnes conditions climatiques pour les acquérir. En revanche, les images radar sont accessibles rapidement quelles que soient les conditions climatiques et peuvent même être acquises de nuit. Ainsi, détecter des changements entre des images optiques et radar est un problème d'un grand intérêt en télédétection.L'intérêt de cette thèse est d'étudier des méthodes statistiques de détention de changements adaptés aux images issues de capteurs hétérogènes.Chapitre 1 rappelle ce qu'on entend par une image de télédétection et résume rapidement quelques méthodes de détection de changements disponibles dans la littérature. Les motivations à développer des méthodes de détection de changements adaptées aux images hétérogènes et les difficultés associiées sont présentés.Chapitre 2 étudie les propriétés statistiques des images en l'absence de changements. Un modèle de mélange de lois adapté aux ces images est introduit. La performance des méthodes classiques de détection de changements est également étudiée. Dans plusieurs cas, ce modèle permet d'expliquer certains défauts de certaines méthodes de la literature.Chapitre 3 étudie les propriétés des paramètres du modèle introduit au chapitre 2 en faisant l'hypothèse qu'ils appartiennent à une variété en l'absence de changements. Cette hypothèse est utilisée pour définir une mesure de similarité qui permet d'éviter les défauts des approches statistiques classiques. Une méthode permettant d'estimer cette mesure de similarité est présentée. Enfin, la stratégie de détection de changements basée sur cette mesure est validée à l'aide d'images synthétiques.Chapitre 4 étudie un algorithme Bayésien non-paramétrique (BNP) qui permet d'améliorer l'estimation de la variété introduite au chapitre 3, qui est basé sur un processus de restaurant Chinois (CRP) et un champs de Markov qui exploite la corrélation spatiale entre des pixels voisins de l'image. Une nouvelle loi a priori de Jeffrey pour le paramètre de concentration de ce CRP est définit. L'estimation des paramètres de ce nouveau modèle est effectuée à l'aide d'un échantillonneur de Gibbs de type "collapsed Gibbs sampler". La stratégie de détection de changement issue de ce modèle non-paramétrique est validée à l'aide d'images synthétiques.Le dernier chapitre est destiné à la validation des algorithmes de détection de changements développés sur des jeux d'images réelles montrant des résultats encourageant pour tous les cas d'étude. Le modèle BNP permet d'obtenir de meilleurs performances que le modèle paramétrique, mais ceci se fait au prix d'une complexité calculatoire plus importante
Remote sensing images are images of the Earth surface acquired from satellites or air-borne equipment. These images are becoming widely available nowadays and its sensor technology is evolving fast. Classical sensors are improving in terms of resolution and noise level, while new kinds of sensors are proving to be useful. Multispectral image sensors are standard nowadays and synthetic aperture radar (SAR) images are very popular.The availability of different kind of sensors is very advantageous since it allows us to capture a wide variety of properties of the objects contained in a scene. These properties can be exploited to extract richer information about these objects. One of the main applications of remote sensing images is the detection of changes in multitemporal datasets (images of the same area acquired at different times). Change detection for images acquired by homogeneous sensors has been of interest for a long time. However the wide range of different sensors found in remote sensing makes the detection of changes in images acquired by heterogeneous sensors an interesting challenge.Accurate change detectors adapted to heterogeneous sensors are needed for the management of natural disasters. Databases of optical images are readily available for an extensive catalog of locations, but, good climate conditions and daylight are required to capture them. On the other hand, SAR images can be quickly captured, regardless of the weather conditions or the daytime. For these reasons, optical and SAR images are of specific interest for tracking natural disasters, by detecting the changes before and after the event.The main interest of this thesis is to study statistical approaches to detect changes in images acquired by heterogeneous sensors. Chapter 1 presents an introduction to remote sensing images. It also briefly reviews the different change detection methods proposed in the literature. Additionally, this chapter presents the motivation to detect changes between heterogeneous sensors and its difficulties.Chapter 2 studies the statistical properties of co-registered images in the absence of change, in particular for optical and SAR images. In this chapter a finite mixture model is proposed to describe the statistics of these images. The performance of classical statistical change detection methods is also studied by taking into account the proposed statistical model. In several situations it is found that these classical methods fail for change detection.Chapter 3 studies the properties of the parameters associated with the proposed statistical mixture model. We assume that the model parameters belong to a manifold in the absence of change, which is then used to construct a new similarity measure overcoming the limitations of classic statistical approaches. Furthermore, an approach to estimate the proposed similarity measure is described. Finally, the proposed change detection strategy is validated on synthetic images and compared with previous strategies.Chapter 4 studies Bayesian non parametric algorithm to improve the estimation of the proposed similarity measure. This algorithm is based on a Chinese restaurant process and a Markov random field taking advantage of the spatial correlations between adjacent pixels of the image. This chapter also defines a new Jeffreys prior for the concentration parameter of this Chinese restaurant process. The estimation of the different model parameters is conducted using a collapsed Gibbs sampler. The proposed strategy is validated on synthetic images and compared with the previously proposed strategy. Finally, Chapter 5 is dedicated to the validation of the proposed change detection framework on real datasets, where encouraging results are obtained in all cases. Including the Bayesian non parametric model into the change detection strategy improves change detection performance at the expenses of an increased computational cost
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Ton, Xuan-Anh. "Fiber optic chemical sensors based on molecularly imprinted polymers for the detection of mycotoxins." Phd thesis, Université de Technologie de Compiègne, 2013. http://tel.archives-ouvertes.fr/tel-01002117.

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This thesis describes the development of highly selective fiber optic sensors using molecularly imprinted polymers (MIPs) as recognition elements associated with fluorescence for detection. Additionally, we extended the study to the development of other MIP-based optical sensors and sensing methods. MIPs are synthetic biomimetic receptors possessing specific cavities designed for a target molecule. Produced by a templating process at the molecular level, MIPs are capable of recognizingand binding target molecules with selectivities and affinities comparable to those of natural receptors. Compared to biological recognition elements, MIPs are more stable, cheaper and easier to integrate into standard industrial fabrication processes. Hence, MIPs have become interesting alternatives to biomolecules as recognition elements for biosensing. In the first part of this thesis (Chapter 2), MIPs were synthesized by in-situ laser-induced photopolymerization in only a few seconds, as a micrometer-sized tip at the extremity of a telecommunication optical fiber. Photonic and physico-chemical parameters were optimized to tailor the properties of the polymer micro-objects. Gold nanoparticles were incorporated into the MIP microtip for signal enhancement. To prove the efficiency of the sensor, initial studies were performed with a MIP templated with N-carbobenzyloxy-L-phenylalanine (Z-L-Phe) and the fluorescent amino acid derivative dansyl-L-phenylalanine as analyte. The fluorescence was collected either externally at the tip level by an optical fiber connected to a spectrofluorimeter or by collection of the fluorescent signal re-emitted into the fiber through the second arm of a Y-shaped bifurcated fiber. The fluorescent analyte could be detected in the low nM concentrations. In order to monitor nonfluorescent analytes, a naphthalimide-based fluorescent monomer was incorporated into the MIP during its synthesis; fluorescence enhancement was observed when analyte binding occurs. Using this system, the sensor containing a MIP specific for the herbicide 2,4-dichlorophenoxyacetic acid (2,4-D), could detect and quantify this analyte at concentrations as low as 2.5 nM. The signaling MIP-based sensor was also applied to analytes of interest for food safety and biomedical applications, such as the mycotoxin citrinin and the sphingolipid, D-erythro-sphingosine-1-phosphate. In the second part of the thesis (Chapter 3), a different type of fiber optic sensor: cheap, fast and made for "single-use", was developed by using 4-cm long disposable polystyrene evanescent wave optical fiber waveguides. The coating of the MIP was either performed ex-situ, by dip-coating the fiber in a suspension of MIP particles synthesized beforehand, or in-situ by evanescent-wave photopolymerization directly on the fiber. The resulting fiber optic sensor could detect 2,4-D in the low nM range and demonstrated specific and selective recognition of the herbicide over its structural analogues and other non-related carboxyl-containing analytes. Additionally, we demonstrated the versatility of the system by applying the evanescent wave fiber optic sensor to detect citrinin, a mycotoxin, by simply coating the waveguide with a MIP specific for citrinin. This type of technology could possibly be extended to detect other carboxyl-containing analytes, as long as a specific MIP for the concerned analyte is available. In parallel, the technique of evanescent-wave photopolymerization was used for the synthesis of signaling MIP microdots on continuous and nanostructured gold films. This study lays the foundations for future development of plasmonic MIP nanosensors and microchips. In the last part of the thesis (Chapter 4), an innovative sensing method, based on the use of MIPs and analysis by fluorescence polarization, was developed in order to allow the fast and directquantification of analytes in food and environmental samples.
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Nord, Sofia. "Multivariate Time Series Data Generation using Generative Adversarial Networks : Generating Realistic Sensor Time Series Data of Vehicles with an Abnormal Behaviour using TimeGAN." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-302644.

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Large datasets are a crucial requirement to achieve high performance, accuracy, and generalisation for any machine learning task, such as prediction or anomaly detection, However, it is not uncommon for datasets to be small or imbalanced since gathering data can be difficult, time-consuming, and expensive. In the task of collecting vehicle sensor time series data, in particular when the vehicle has an abnormal behaviour, these struggles are present and may hinder the automotive industry in its development. Synthetic data generation has become a growing interest among researchers in several fields to handle the struggles with data gathering. Among the methods explored for generating data, generative adversarial networks (GANs) have become a popular approach due to their wide application domain and successful performance. This thesis focuses on generating multivariate time series data that are similar to vehicle sensor readings from the air pressures in the brake system of vehicles with an abnormal behaviour, meaning there is a leakage somewhere in the system. A novel GAN architecture called TimeGAN was trained to generate such data and was then evaluated using both qualitative and quantitative evaluation metrics. Two versions of this model were tested and compared. The results obtained proved that both models learnt the distribution and the underlying information within the features of the real data. The goal of the thesis was achieved and can become a foundation for future work in this field.
När man applicerar en modell för att utföra en maskininlärningsuppgift, till exempel att förutsäga utfall eller upptäcka avvikelser, är det viktigt med stora dataset för att uppnå hög prestanda, noggrannhet och generalisering. Det är dock inte ovanligt att dataset är små eller obalanserade eftersom insamling av data kan vara svårt, tidskrävande och dyrt. När man vill samla tidsserier från sensorer på fordon är dessa problem närvarande och de kan hindra bilindustrin i dess utveckling. Generering av syntetisk data har blivit ett växande intresse bland forskare inom flera områden som ett sätt att hantera problemen med datainsamling. Bland de metoder som undersökts för att generera data har generative adversarial networks (GANs) blivit ett populärt tillvägagångssätt i forskningsvärlden på grund av dess breda applikationsdomän och dess framgångsrika resultat. Denna avhandling fokuserar på att generera flerdimensionell tidsseriedata som liknar fordonssensoravläsningar av lufttryck i bromssystemet av fordon med onormalt beteende, vilket innebär att det finns ett läckage i systemet. En ny GAN modell kallad TimeGAN tränades för att genera sådan data och utvärderades sedan både kvalitativt och kvantitativt. Två versioner av denna modell testades och jämfördes. De erhållna resultaten visade att båda modellerna lärde sig distributionen och den underliggande informationen inom de olika signalerna i den verkliga datan. Målet med denna avhandling uppnåddes och kan lägga grunden för framtida arbete inom detta område.
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Costa, Jorge Alberto Lopes da. "Avaliação de dados de radar do sensor SAR-R99B no mapeamento do uso e cobertura da terra na Amazônia Central, município de Manaus, AM." Universidade Federal do Amazonas, 2011. http://tede.ufam.edu.br/handle/tede/4514.

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In recent decades the areas of rainforest in the Amazon region has been heavily impacted by a rapid process of conversion of vegetation cover in other types of use due to human action. In the context of global change, the use of mapping and monitoring land cover and provide information for the analysis and evaluation of environmental impacts due to accelerated changes in the landscape. Therefore, this study evaluated the potential of data from synthetic aperture radar for discriminating use and land cover in the region of Manaus, Amazonas state. We used a multipolarized image from sensor airborne SAR-R99B (L band), with 3 m spatial resolution. Were evaluated the MAXVER-ICM and SVM (Support Vector Machine) classifiers, where in all cases we used the images individually multipolarized amplitude (HH, HV and VV), in pairs (HH and HV), (HV and VV) and (HH and VV) and together (HH, HV and VV). The results were compared using as parameter the Kappa coefficient. The SVM classifier had higher accuracy compared to MAXVER-ICM classifier. The best classifications were obtained for the dual polarization (HH and VV) with MARVER-ICM classifier and (HH, HV and VV) with the SVM classifier both using the images with the filter. The accuracy was highest with SVM for classification and filter images (kappa = 0.7736). Were analyzed the influence of using GAMMA filter performance on the classifiers where it showed that filtered images have provided an increase in the results, on average, about 8%. Thus there was the analysis of the classification results, which found that the best result was provided by the dataset multipolarized (HH, HV and VV) classified by the SVM method. Thus, we concluded that the use of radar imagery in mapping thematic classes use and land cover in tropical regions, can be considered as a viable proposal.
Nas últimas décadas as áreas de floresta tropical na região Amazônica têm sido fortemente impactada por um rápido processo de conversão da cobertura vegetal em outros tipos de uso devido à ação antrópica. No contexto das mudanças globais, os mapeamentos e monitoramentos de uso e cobertura da terra fornecem subsídios para as análises e avaliações dos impactos ambientas em virtude de acelerados processos de mudança na paisagem. Neste contexto, este estudo avaliou o potencial dos dados de radar de abertura sintética para discriminação de uso e cobertura da terra na região de Manaus, estado do Amazonas. Foi utilizada uma imagem multipolarizada do sensor aerotransportado SAR-R99B (banda L), com 3 metros de resolução espacial. Realizaram-se classificações na imagem radar sem filtro e com filtro Gamma 3x3. Avaliou-se o classificador pontual MAXVER-ICM e o SVM (Support Vector Machine), onde em todos os casos utilizou-se das imagens multipolarizadas em amplitude individualmente (HH, HV e VV), aos pares (HH e HV), (HV e VV) e (HH e VV) e em conjunto (HH, HV e VV). Os resultados obtidos foram comparados utilizando-se como parâmetro o coeficiente de concordância Kappa. O classificador SVM apresentou acurácia superior em relação ao classificador MAXVER-ICM. As melhores classificações foram obtidas para a polarização dual HH e VV com o classificador MAXVER-ICM e (HH, HV e VV) com o classificador SVM ambos utilizando as imagens com filtro. A acurácia mais elevada foi para a classificação com SVM e imagens com filtro (kappa = 0,7736). Analisou-se a influência do uso de filtro GAMMA no desempenho dos classificadores onde se contatou que as imagens filtradas proporcionaram um incremento nos resultados, em média, na ordem de 8%. Deste modo realizou-se a análise dos resultados das classificações, onde se constatou que o melhor resultado foi proporcionado pelo conjunto de dados multipolarizados (HH, HV e VV)classificados através do método SVM. Assim, concluiu-se que o uso de imagens de radar no mapeamento de classes temáticas de uso e cobertura da terra, em regiões tropicais, pode ser considerado como uma proposta viável.
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Books on the topic "Synthetic sensor"

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Jan Roelof van der Meer. Bacterial sensors: Synthetic design and application principles. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool, 2011.

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Nadovich, Chris. Synthetic instruments: Concepts and applications. Burlington, MA: Elsevier/Newnes, 2005.

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Morea, G. Synthesis, surface characterization and sensor behaviour of conducting polymers. Manchester: UMIST, 1993.

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Lind, Rick. Choosing sensor configuration for a flexible structure using full control synthesis. [Washington, DC: National Aeronautics and Space Administration, 1997.

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Johnston, A. G. The design and synthesis of molecular receptors as chemical sensors for small molecules. Manchester: UMIST, 1996.

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K, Dhar Nibir, Dutta Achyut K, Islam M. Saiful 1970-, and Society of Photo-optical Instrumentation Engineers., eds. Nanomaterial synthesis and integration for sensors, electronics, photonics, and electro-optics: 1-4 October, 2006, Boston, Massachusetts, USA. Bellingham, Wash: SPIE, 2006.

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Metal oxide nanostructures as gas sensing devices. Boca Raton: Taylor & Francis, 2011.

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Symposium on the Application of Sensors and Modeling to Materials Processing (1997 Orlando, Fla.). Sensors and modeling in materials processing: Techniques and applications : proceedings of a Symposium on the Application of Sensors and Modeling to Materials Processing, spononsored by the EPD/MDMD Synthesis, Control, and Analysis in Materials Processing Committee and the EPD Process Fundamentals Committee, held at the 126th annual meeting of the Minerals, Metals, and Materials Society, Orlando, February 9-13, 1997. Warrendale, Pa: The Society, 1997.

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National Aeronautics and Space Administration (NASA) Staff. Evaluation of Alternate Concepts for Synthetic Vision Flight Displays with Weather-Penetrating Sensor Image Inserts During Simulated Landing Approaches. Independently Published, 2018.

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Wich, Serge A., and Lian Pin Koh. Sensors. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198787617.003.0003.

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The number of sensors that can be fitted and/or have been specifically designed to be fitted to drones is expanding rapidly. This chapter provides an overview of the various types of sensors used on drones for conservation research and monitoring, including RGB cameras, multispectral and hyperspectral cameras, and thermal imaging cameras. Increasing miniaturization means LiDAR and synthetic aperture radar (SAR) sensors can now also be fitted to drones, and they are also discussed briefly, as are a number of other types (e.g. acoustic and gas sensors) now being developed. Because most conservation researchers will start with a specific question and then explore which sensor or set of sensors will be suitable for their data collection, we approach the sensor issue from the application end. Some technical information on the sensors is provided as well as an overview of the various studies that they have been used for.
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Book chapters on the topic "Synthetic sensor"

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Allbeck, Jan M., and Norman I. Badler. "Simulating Human Activities for Synthetic Inputs to Sensor Systems." In Distributed Video Sensor Networks, 193–205. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-127-1_13.

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Hagn, Korbinian, and Oliver Grau. "Optimized Data Synthesis for DNN Training and Validation by Sensor Artifact Simulation." In Deep Neural Networks and Data for Automated Driving, 127–47. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-01233-4_4.

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AbstractSynthetic, i.e., computer-generated imagery (CGI) data is a key component for training and validating deep-learning-based perceptive functions due to its ability to simulate rare cases, avoidance of privacy issues, and generation of pixel-accurate ground truth data. Today, physical-based rendering (PBR) engines simulate already a wealth of realistic optical effects but are mainly focused on the human perception system. Whereas the perceptive functions require realistic images modeled with sensor artifacts as close as possible toward the sensor, the training data has been recorded. This chapter proposes a way to improve the data synthesis process by application of realistic sensor artifacts. To do this, one has to overcome the domain distance between real-world imagery and the synthetic imagery. Therefore, we propose a measure which captures the generalization distance of two distinct datasets which have been trained on the same model. With this measure the data synthesis pipeline can be improved to produce realistic sensor-simulated images which are closer to the real-world domain. The proposed measure is based on the Wasserstein distance (earth mover’s distance, EMD) over the performance metric mean intersection-over-union (mIoU) on a per-image basis, comparing synthetic and real datasets using deep neural networks (DNNs) for semantic segmentation. This measure is subsequently used to match the characteristic of a real-world camera for the image synthesis pipeline which considers realistic sensor noise and lens artifacts. Comparing the measure with the well-established Fréchet inception distance (FID) on real and artificial datasets demonstrates the ability to interpret the generalization distance which is inherent asymmetric and more informative than just a simple distance measure. Furthermore, we use the metric as an optimization criterion to adapt a synthetic dataset to a real dataset, decreasing the EMD distance between a synthetic and the Cityscapes dataset from 32.67 to 27.48 and increasing the mIoU of our test algorithm () from 40.36 to $$47.63\%$$ 47.63 % .
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Oliva, G., A. S. Fiorillo, and S. A. Pullano. "Development of VOCs Sensor Based on Synthetic Zeolite Layers." In Proceedings of SIE 2022, 128–33. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26066-7_20.

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Ivanchenko, L. A., V. S. Sulyma, and N. D. Pinchuk. "The Researches of Properties of Biomaterials Based on Biological Hydroxyapatite in Synthetic and Natural Physiological Mediums." In Nanostructured Materials and Coatings for Biomedical and Sensor Applications, 77–82. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-010-0157-1_8.

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Hummel, Georg, Levente Kovács, Peter Stütz, and Tamás Szirányi. "Data Simulation and Testing of Visual Algorithms in Synthetic Environments for Security Sensor Networks." In Communications in Computer and Information Science, 212–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33161-9_31.

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Sterling, Gerald, Elizabeth Chang, and Tharam Dillon. "Semantics of a Multimedia Database for Support within Synthetic Environments for Multiple Sensor Systems." In Database Semantics, 413–34. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-0-387-35561-0_23.

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Anil Patel, Bhavik. "Diamond Sensors for Neurochemistry." In Synthetic Diamond Films, 511–50. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118062364.ch20.

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Davis, A. P. "Molecular Recognition: Synthetic Receptors by Rational Design and Targeted Synthesis." In Molecular Electronics: Bio-sensors and Bio-computers, 427–55. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-010-0141-0_21.

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Kubik, Stefan. "Cyclopeptide Derived Synthetic Receptors." In Artificial Receptors for Chemical Sensors, 135–67. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2010. http://dx.doi.org/10.1002/9783527632480.ch5.

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Werner, Matthias. "CVD-Diamond Sensors for Temperature and Pressure." In Low-Pressure Synthetic Diamond, 243–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-71992-9_13.

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Conference papers on the topic "Synthetic sensor"

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Hill, Jonathan, Hilary Bart-Smith, C. Barbier, and J. A. C. Humphrey. "Investigation of a Bioinspired Whisker-Like Fluid Motion Sensor." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-14508.

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Sensors and sensing technologies to obtain flow information at near real time for the control of new underwater morphing structure applications are being investigated. Inspiration for a new type of fluid motion sensor finds its origin in the vibrissae (whiskers) of seals. Recent research has shown the remarkable sensitivity and specificity of these biological sensors to detect hydrodynamic trails left by potential prey. The impressive sensory performance characteristics of seal whiskers suggest the developmental potential for corresponding synthetic fluid motion sensors. An analytical study of the dynamic response of a synthetic whisker-like beam has been carried out to understand its response to predefined vortical flow fields. A parametric study has been conducted to examine how the geometrical and material parameters (i.e. length, cross-section, and stiffness) can be manipulated to produce characteristic responses for different applications. This theoretical understanding is being used in a companion experimental study to develop a synthetic whisker-like sensor. The performance characteristics of the experimental sensor are compared to the beam model predictions.
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Ibadah, Nisrine, Khalid Minaoui, Mohammed Rziza, and Mohammed Oumsis. "Experimental Synthesis of Routing Protocols and Synthetic Mobility Modeling for MANET." In 6th International Conference on Sensor Networks. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006203601680173.

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Kozlov, Vitali, Eran Rebenshtok, and Pavel Ginzburg. "Synthetic software defined radar (Conference Presentation)." In Radar Sensor Technology XXIV, edited by Ann M. Raynal and Kenneth I. Ranney. SPIE, 2020. http://dx.doi.org/10.1117/12.2556221.

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PAVEL, M., J. LARIMER, and A. AHUMADA. "Sensor fusion for synthetic vision." In 8th Computing in Aerospace Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1991. http://dx.doi.org/10.2514/6.1991-3730.

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Blundell, V., T. Clarke, and D. Williams. "Synthetic signals for signal processing." In Sensor Signal Processing for Defence (SSPD 2010). IET, 2010. http://dx.doi.org/10.1049/ic.2010.0229.

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Doerry, Armin W. "Comments on rendering synthetic aperture radar (SAR) images." In Radar Sensor Technology XXV, edited by Ann M. Raynal and Kenneth I. Ranney. SPIE, 2021. http://dx.doi.org/10.1117/12.2585845.

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Doerry, Armin W., and Douglas L. Bickel. "Motion measurement impact on synthetic aperture radar (SAR) geolocation." In Radar Sensor Technology XXV, edited by Ann M. Raynal and Kenneth I. Ranney. SPIE, 2021. http://dx.doi.org/10.1117/12.2585846.

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Paulson, Christopher R., Adam R. Nolan, Lori Westerkamp, and Edmund Zelnio. "Multi-sensor synthetic data generation for performance characterization." In Algorithms for Synthetic Aperture Radar Imagery XXVI, edited by Edmund Zelnio and Frederick D. Garber. SPIE, 2019. http://dx.doi.org/10.1117/12.2523579.

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Penn, Joseph A., and Gertrude H. Kornfeld. "Various FLIR sensor effects applied to synthetic thermal imagery." In Recent Advances in Sensors, Radiometric Calibration, and Processing of Remotely Sensed Data. SPIE, 1993. http://dx.doi.org/10.1117/12.161560.

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Aksu, Ridvan, Mohammad M. Rahman, and Sevgi Z. Gurbuz. "3D scene reconstruction from multi-sensor EO-SAR data." In Algorithms for Synthetic Aperture Radar Imagery XXVII, edited by Edmund Zelnio and Frederick D. Garber. SPIE, 2020. http://dx.doi.org/10.1117/12.2558350.

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Reports on the topic "Synthetic sensor"

1

Pinkus, Alan R., David W. Dommett, H. L. Task, Sheldon E. Unger, and David W. Sivert. Synthetic Observer Approach to Multispectral Sensor Resolution Assessment. Fort Belvoir, VA: Defense Technical Information Center, September 2010. http://dx.doi.org/10.21236/ada528908.

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Lundquist, J., B. Kosovic, and R. Belles. Synthetic Event Reconstruction Experiments for Defining Sensor Network Characteristics. Office of Scientific and Technical Information (OSTI), December 2005. http://dx.doi.org/10.2172/894010.

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Velten, Vincent J. Geometric Invariance for Synthetic Aperture Radar (SAR) Sensors. Fort Belvoir, VA: Defense Technical Information Center, April 2004. http://dx.doi.org/10.21236/ada426700.

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Steven Buckley, Reza Gharavi, and Marco Leon. Multiplexed Sensor for Synthesis Gas Compsition and Temperature. Office of Scientific and Technical Information (OSTI), October 2007. http://dx.doi.org/10.2172/951064.

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Kim, Hajin J., Michael C. Cornell, and Charles B. Naumann. AMRDEC's HWIL Synthetic Environment Development Efforts for LADAR Sensors. Fort Belvoir, VA: Defense Technical Information Center, January 2004. http://dx.doi.org/10.21236/ada461374.

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Pérez, Pablo A. López, Ricardo Aguilar-López, Omar S. Castillo-Baltazar, Emmanuel Vallejo Castañeda, and Vicente Peña Caballero. Virtual Sensors for Biofuels Production: a Brief Mathematical Description for Synthesis of Algorithms. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, October 2019. http://dx.doi.org/10.7546/crabs.2019.10.11.

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Jenkins, C. W., R. B. King, and I. Bresinska. Synthesis of Polystyrene-Supported Dithizone Analogues for Use as Chemical Sensors for Heavy Metals. Office of Scientific and Technical Information (OSTI), July 1998. http://dx.doi.org/10.2172/656434.

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Junhang Dong, Hai Xiao, Xiling Tang, Hongmin Jiang, Kurtis Remmel, and Amardeep Kaur. DEVELOPMENT OF NOVEL CERAMIC NANOFILM-FIBER INTEGRATED OPTICAL SENSORS FOR RAPID DETECTION OF COAL DERIVED SYNTHESIS GAS. Office of Scientific and Technical Information (OSTI), September 2012. http://dx.doi.org/10.2172/1060495.

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Deng, Zhiqun, John A. Serkowski, Tao Fu, Thomas J. Carlson, and Marshall C. Richmond. Synthesis of Sensor Fish Data for Assessment of Fish Passage Conditions at Turbines, Spillways, and Bypass Facilities ? Phase 1: The Dalles Dam Spillway Case Study. Office of Scientific and Technical Information (OSTI), December 2007. http://dx.doi.org/10.2172/926962.

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Soenen, Karen, Dana Gerlach, Christina Haskins, Taylor Heyl, Danie Kinkade, Sawyer Newman, Shannon Rauch, et al. How can BCO-DMO help with your oceanographic data? How can BCO-DMO help with your oceanographic data?, December 2021. http://dx.doi.org/10.1575/1912/27803.

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BCO-DMO curates a database of research-ready data spanning the full range of marine ecosystem related measurements including in-situ and remotely sensed observations, experimental and model results, and synthesis products. We work closely with investigators to publish data and information from research projects supported by the National Science Foundation (NSF), as well as those supported by state, private, and other funding sources. BCO-DMO supports all phases of the data life cycle and ensures open access of well-curated project data and information. We employ F.A.I.R. Principles that comprise a set of values intended to guide data producers and publishers in establishing good data management practices that will enable effective reuse.
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