Littérature scientifique sur le sujet « Synthetic sensor »
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Articles de revues sur le sujet "Synthetic sensor"
Veeramuthu, Loganathan, Manikandan Venkatesan, Fang-Cheng Liang, Jean-Sebastien Benas, Chia-Jung Cho, Chin-Wen Chen, Ye Zhou, Rong-Ho Lee et 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 (5 mars 2020) : 587. http://dx.doi.org/10.3390/polym12030587.
Texte intégralLeja, Laura, Vitālijs Purlans, Rihards Novickis, Andrejs Cvetkovs et Kaspars Ozols. « Mathematical Model and Synthetic Data Generation for Infra-Red Sensors ». Sensors 22, no 23 (3 décembre 2022) : 9458. http://dx.doi.org/10.3390/s22239458.
Texte intégralJhuo, Yan-Ru, Chi-Yu Chen, Yu-Hsuan Yang, Hsing-Chuan Hsieh et Yuh-Jye Lee. « Continuous Monitoring of the Ambient Factors via ε-Smooth Support Vector Regression ». Proceedings 31, no 1 (21 novembre 2019) : 63. http://dx.doi.org/10.3390/proceedings2019031063.
Texte intégralHoa, Nguyen Duc, Nguyen Van Duy, Sherif A. El-Safty et 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.
Texte intégralGrabka, Michał, Przemysław Kula, Mateusz Szala, Krzysztof Jasek et Michał Czerwiński. « Fluorophenol-Containing Hydrogen-Bond Acidic Polysiloxane for Gas Sensing-Synthesis and Characterization ». Polymers 14, no 6 (13 mars 2022) : 1147. http://dx.doi.org/10.3390/polym14061147.
Texte intégralTORMO GARCIA, FRANCISCO JAVIER, Juan Ivorra Martínez, Teodomiro Boronat et NESTOR MONTAÑES MUÑOZ. « LOW-COST FABRICATION AND CHARACTERISATION OF A FLEXIBLE GRAPHITE-BASED TOUCH SENSOR ». DYNA DYNA-ACELERADO (26 octobre 2022) : [ 5 pp.]. http://dx.doi.org/10.6036/10577.
Texte intégralXu, Chen-Yan, Kang-Ping Ning, Zheng Wang, Yao Yao, Qin Xu et Xiao-Ya Hu. « Flexible Electrochemical Platform Coupled with In Situ Prepared Synthetic Receptors for Sensitive Detection of Bisphenol A ». Biosensors 12, no 12 (25 novembre 2022) : 1076. http://dx.doi.org/10.3390/bios12121076.
Texte intégralCavalli, 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 (1 janvier 2023) : 454. http://dx.doi.org/10.3390/s23010454.
Texte intégralSherman, Christopher, Robert Mellors, Joseph Morris et Frederick Ryerson. « Geomechanical modeling of distributed fiber-optic sensor measurements ». Interpretation 7, no 1 (1 février 2019) : SA21—SA27. http://dx.doi.org/10.1190/int-2018-0063.1.
Texte intégralMin, 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.
Texte intégralThèses sur le sujet "Synthetic sensor"
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.
Texte intégralClare, 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.
Texte intégralRosander, 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.
Texte intégralSensor 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.
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.
Texte intégralHolder, Martin Friedrich [Verfasser], Hermann [Akademischer Betreuer] Winner et 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.
Texte intégralRiedel, Jan Verfasser], Reinhard [Akademischer Betreuer] Köster et 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.
Texte intégralPrendes, 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.
Texte intégralRemote 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
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.
Texte intégralNord, 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.
Texte intégralNär 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.
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.
Livres sur le sujet "Synthetic sensor"
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.
Trouver le texte intégralNadovich, Chris. Synthetic instruments : Concepts and applications. Burlington, MA : Elsevier/Newnes, 2005.
Trouver le texte intégralMorea, G. Synthesis, surface characterization and sensor behaviour of conducting polymers. Manchester : UMIST, 1993.
Trouver le texte intégralLind, Rick. Choosing sensor configuration for a flexible structure using full control synthesis. [Washington, DC : National Aeronautics and Space Administration, 1997.
Trouver le texte intégralJohnston, A. G. The design and synthesis of molecular receptors as chemical sensors for small molecules. Manchester : UMIST, 1996.
Trouver le texte intégralK, Dhar Nibir, Dutta Achyut K, Islam M. Saiful 1970- et Society of Photo-optical Instrumentation Engineers., dir. Nanomaterial synthesis and integration for sensors, electronics, photonics, and electro-optics : 1-4 October, 2006, Boston, Massachusetts, USA. Bellingham, Wash : SPIE, 2006.
Trouver le texte intégralMetal oxide nanostructures as gas sensing devices. Boca Raton : Taylor & Francis, 2011.
Trouver le texte intégralSymposium 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.
Trouver le texte intégralNational 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.
Trouver le texte intégralWich, Serge A., et Lian Pin Koh. Sensors. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198787617.003.0003.
Texte intégralChapitres de livres sur le sujet "Synthetic sensor"
Allbeck, Jan M., et Norman I. Badler. « Simulating Human Activities for Synthetic Inputs to Sensor Systems ». Dans Distributed Video Sensor Networks, 193–205. London : Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-127-1_13.
Texte intégralHagn, Korbinian, et Oliver Grau. « Optimized Data Synthesis for DNN Training and Validation by Sensor Artifact Simulation ». Dans 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.
Texte intégralOliva, G., A. S. Fiorillo et S. A. Pullano. « Development of VOCs Sensor Based on Synthetic Zeolite Layers ». Dans Proceedings of SIE 2022, 128–33. Cham : Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26066-7_20.
Texte intégralIvanchenko, L. A., V. S. Sulyma et N. D. Pinchuk. « The Researches of Properties of Biomaterials Based on Biological Hydroxyapatite in Synthetic and Natural Physiological Mediums ». Dans 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.
Texte intégralHummel, Georg, Levente Kovács, Peter Stütz et Tamás Szirányi. « Data Simulation and Testing of Visual Algorithms in Synthetic Environments for Security Sensor Networks ». Dans 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.
Texte intégralSterling, Gerald, Elizabeth Chang et Tharam Dillon. « Semantics of a Multimedia Database for Support within Synthetic Environments for Multiple Sensor Systems ». Dans Database Semantics, 413–34. Boston, MA : Springer US, 1999. http://dx.doi.org/10.1007/978-0-387-35561-0_23.
Texte intégralAnil Patel, Bhavik. « Diamond Sensors for Neurochemistry ». Dans Synthetic Diamond Films, 511–50. Hoboken, NJ, USA : John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118062364.ch20.
Texte intégralDavis, A. P. « Molecular Recognition : Synthetic Receptors by Rational Design and Targeted Synthesis ». Dans 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.
Texte intégralKubik, Stefan. « Cyclopeptide Derived Synthetic Receptors ». Dans Artificial Receptors for Chemical Sensors, 135–67. Weinheim, Germany : Wiley-VCH Verlag GmbH & Co. KGaA, 2010. http://dx.doi.org/10.1002/9783527632480.ch5.
Texte intégralWerner, Matthias. « CVD-Diamond Sensors for Temperature and Pressure ». Dans Low-Pressure Synthetic Diamond, 243–60. Berlin, Heidelberg : Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-71992-9_13.
Texte intégralActes de conférences sur le sujet "Synthetic sensor"
Hill, Jonathan, Hilary Bart-Smith, C. Barbier et J. A. C. Humphrey. « Investigation of a Bioinspired Whisker-Like Fluid Motion Sensor ». Dans ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-14508.
Texte intégralIbadah, Nisrine, Khalid Minaoui, Mohammed Rziza et Mohammed Oumsis. « Experimental Synthesis of Routing Protocols and Synthetic Mobility Modeling for MANET ». Dans 6th International Conference on Sensor Networks. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006203601680173.
Texte intégralKozlov, Vitali, Eran Rebenshtok et Pavel Ginzburg. « Synthetic software defined radar (Conference Presentation) ». Dans Radar Sensor Technology XXIV, sous la direction de Ann M. Raynal et Kenneth I. Ranney. SPIE, 2020. http://dx.doi.org/10.1117/12.2556221.
Texte intégralPAVEL, M., J. LARIMER et A. AHUMADA. « Sensor fusion for synthetic vision ». Dans 8th Computing in Aerospace Conference. Reston, Virigina : American Institute of Aeronautics and Astronautics, 1991. http://dx.doi.org/10.2514/6.1991-3730.
Texte intégralBlundell, V., T. Clarke et D. Williams. « Synthetic signals for signal processing ». Dans Sensor Signal Processing for Defence (SSPD 2010). IET, 2010. http://dx.doi.org/10.1049/ic.2010.0229.
Texte intégralDoerry, Armin W. « Comments on rendering synthetic aperture radar (SAR) images ». Dans Radar Sensor Technology XXV, sous la direction de Ann M. Raynal et Kenneth I. Ranney. SPIE, 2021. http://dx.doi.org/10.1117/12.2585845.
Texte intégralDoerry, Armin W., et Douglas L. Bickel. « Motion measurement impact on synthetic aperture radar (SAR) geolocation ». Dans Radar Sensor Technology XXV, sous la direction de Ann M. Raynal et Kenneth I. Ranney. SPIE, 2021. http://dx.doi.org/10.1117/12.2585846.
Texte intégralPaulson, Christopher R., Adam R. Nolan, Lori Westerkamp et Edmund Zelnio. « Multi-sensor synthetic data generation for performance characterization ». Dans Algorithms for Synthetic Aperture Radar Imagery XXVI, sous la direction de Edmund Zelnio et Frederick D. Garber. SPIE, 2019. http://dx.doi.org/10.1117/12.2523579.
Texte intégralPenn, Joseph A., et Gertrude H. Kornfeld. « Various FLIR sensor effects applied to synthetic thermal imagery ». Dans Recent Advances in Sensors, Radiometric Calibration, and Processing of Remotely Sensed Data. SPIE, 1993. http://dx.doi.org/10.1117/12.161560.
Texte intégralAksu, Ridvan, Mohammad M. Rahman et Sevgi Z. Gurbuz. « 3D scene reconstruction from multi-sensor EO-SAR data ». Dans Algorithms for Synthetic Aperture Radar Imagery XXVII, sous la direction de Edmund Zelnio et Frederick D. Garber. SPIE, 2020. http://dx.doi.org/10.1117/12.2558350.
Texte intégralRapports d'organisations sur le sujet "Synthetic sensor"
Pinkus, Alan R., David W. Dommett, H. L. Task, Sheldon E. Unger et David W. Sivert. Synthetic Observer Approach to Multispectral Sensor Resolution Assessment. Fort Belvoir, VA : Defense Technical Information Center, septembre 2010. http://dx.doi.org/10.21236/ada528908.
Texte intégralLundquist, J., B. Kosovic et R. Belles. Synthetic Event Reconstruction Experiments for Defining Sensor Network Characteristics. Office of Scientific and Technical Information (OSTI), décembre 2005. http://dx.doi.org/10.2172/894010.
Texte intégralVelten, Vincent J. Geometric Invariance for Synthetic Aperture Radar (SAR) Sensors. Fort Belvoir, VA : Defense Technical Information Center, avril 2004. http://dx.doi.org/10.21236/ada426700.
Texte intégralSteven Buckley, Reza Gharavi et Marco Leon. Multiplexed Sensor for Synthesis Gas Compsition and Temperature. Office of Scientific and Technical Information (OSTI), octobre 2007. http://dx.doi.org/10.2172/951064.
Texte intégralKim, Hajin J., Michael C. Cornell et Charles B. Naumann. AMRDEC's HWIL Synthetic Environment Development Efforts for LADAR Sensors. Fort Belvoir, VA : Defense Technical Information Center, janvier 2004. http://dx.doi.org/10.21236/ada461374.
Texte intégralPérez, Pablo A. López, Ricardo Aguilar-López, Omar S. Castillo-Baltazar, Emmanuel Vallejo Castañeda et 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, octobre 2019. http://dx.doi.org/10.7546/crabs.2019.10.11.
Texte intégralJenkins, C. W., R. B. King et I. Bresinska. Synthesis of Polystyrene-Supported Dithizone Analogues for Use as Chemical Sensors for Heavy Metals. Office of Scientific and Technical Information (OSTI), juillet 1998. http://dx.doi.org/10.2172/656434.
Texte intégralJunhang Dong, Hai Xiao, Xiling Tang, Hongmin Jiang, Kurtis Remmel et 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), septembre 2012. http://dx.doi.org/10.2172/1060495.
Texte intégralDeng, Zhiqun, John A. Serkowski, Tao Fu, Thomas J. Carlson et 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), décembre 2007. http://dx.doi.org/10.2172/926962.
Texte intégralSoenen, 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?, décembre 2021. http://dx.doi.org/10.1575/1912/27803.
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