Thèses sur le sujet « NOx detection »
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Gao, Jing. « Etude et mise au point d'un capteur de gaz pour la detection sélective de NOx en pot d'échappement automobile ». Phd thesis, Ecole Nationale Supérieure des Mines de Saint-Etienne, 2011. http://tel.archives-ouvertes.fr/tel-01016361.
Texte intégralVIGNA, LORENZO. « Chemiresistive devices for room-temperature gas sensing applications : from loaded and intrinsically conductive polymers to layered double hydroxides ». Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2967017.
Texte intégralRomanytsia, Ivan. « Etude des propriétés électro-catalytiques des matériaux d’électrode et des phénomènes de polarisation pour la compréhension des mécanismes de détection d'un capteur d'oxydes d'azote et l'optimisation de son fonctionnement ». Thesis, Saint-Etienne, EMSE, 2014. http://www.theses.fr/2014EMSE0760.
Texte intégralRoad transport is one of the main sources of NOx emitted into the atmosphere. The majority of this pollution is concentrated in urbanized areas. The permanent exposure to the exhaust gases has serious consequences for human health and for that, emission standards become more stringent. The modern technologies present in automotive need the continuous control of the exhaust composition. The variations of temperature, composition of exhaust gas, vibrations and other factors require long life robust control systems. In this work, we present the procedure of fabrication and characterization of an electrochemical sensor with three electrodes that can fulfill the demands of industrial applications in automotive industry. Manufacturing by screen-Printing technology allows producing low-Cost sensor with high reproducibility in industrial process.The principle of our sensor is based on galvanostatic polarization of a gold sensing electrode allowing the selective detection of NO2 without interference to other gases such as CO and NO. In order to increase stability, and to decrease the response and recovery time of the sensor, a new Au composite sensitive electrode was developed. The electrochemical reduction of oxygen on gold and gold-Based electrodes was then studied, to propose a detailed mechanism of NO2 detection
Ru, Jifeng. « Adaptive estimation and detection techniques with applications ». ScholarWorks@UNO, 2005. http://louisdl.louislibraries.org/u?/NOD,285.
Texte intégralTitle from electronic submission form. "A dissertation ... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Engineering and Applied Science"--Dissertation t.p. Vita. Includes bibliographical references.
Storozhenko, V. A., A. V. Myagkiy et R. P. Orel. « Filtering of interference of inhomogeneous regular structure in thermal non-destructive control of cellular structures ». Thesis, Eskisehir technical university, 2021. https://openarchive.nure.ua/handle/document/18954.
Texte intégralMakrakis, Dimitrios. « Generalized non-coherent detection ». Thesis, University of Ottawa (Canada), 1993. http://hdl.handle.net/10393/6789.
Texte intégralMorrow, David John. « Non-enzymatic electrochemical glucose detection ». Thesis, Queen's University Belfast, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.317087.
Texte intégralHill, Helena Anne. « Non cultural detection of Campylobacter ». Thesis, Queen's University Belfast, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.247366.
Texte intégralFrazer, Gordon John. « Aspects of time-varying non Gaussian non-linear signal analysis ». Thesis, Queensland University of Technology, 1996. https://eprints.qut.edu.au/105546/1/T%28BE%26E%29%201032%20Aspects%20of%20time-varying%20non-Gaussian%20non-linear%20signal%20analysis.pdf.
Texte intégralPixton, Tonya S. « Expecting Happy Women, Not Detecting the Angry Ones : Detection and Perceived Intensity of Facial Anger, Happiness, and Emotionality ». Doctoral thesis, Stockholms universitet, Psykologiska institutionen, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-57167.
Texte intégralAt the time of the doctoral defense, the following papers were unpublished and had a status as follows: Paper 1: In press. Paper 2: Manuscript. Paper 3: Manuscript.
Abas, Ashardi B. « Non-intrusive driver drowsiness detection system ». Thesis, University of Bradford, 2011. http://hdl.handle.net/10454/5521.
Texte intégralMazel, Johan. « Unsupervised network anomaly detection ». Thesis, Toulouse, INSA, 2011. http://www.theses.fr/2011ISAT0024/document.
Texte intégralAnomaly detection has become a vital component of any network in today’s Internet. Ranging from non-malicious unexpected events such as flash-crowds and failures, to network attacks such as denials-of-service and network scans, network traffic anomalies can have serious detrimental effects on the performance and integrity of the network. The continuous arising of new anomalies and attacks create a continuous challenge to cope with events that put the network integrity at risk. Moreover, the inner polymorphic nature of traffic caused, among other things, by a highly changing protocol landscape, complicates anomaly detection system's task. In fact, most network anomaly detection systems proposed so far employ knowledge-dependent techniques, using either misuse detection signature-based detection methods or anomaly detection relying on supervised-learning techniques. However, both approaches present major limitations: the former fails to detect and characterize unknown anomalies (letting the network unprotected for long periods) and the latter requires training over labeled normal traffic, which is a difficult and expensive stage that need to be updated on a regular basis to follow network traffic evolution. Such limitations impose a serious bottleneck to the previously presented problem.We introduce an unsupervised approach to detect and characterize network anomalies, without relying on signatures, statistical training, or labeled traffic, which represents a significant step towards the autonomy of networks. Unsupervised detection is accomplished by means of robust data-clustering techniques, combining Sub-Space clustering with Evidence Accumulation or Inter-Clustering Results Association, to blindly identify anomalies in traffic flows. Correlating the results of several unsupervised detections is also performed to improve detection robustness. The correlation results are further used along other anomaly characteristics to build an anomaly hierarchy in terms of dangerousness. Characterization is then achieved by building efficient filtering rules to describe a detected anomaly. The detection and characterization performances and sensitivities to parameters are evaluated over a substantial subset of the MAWI repository which contains real network traffic traces.Our work shows that unsupervised learning techniques allow anomaly detection systems to isolate anomalous traffic without any previous knowledge. We think that this contribution constitutes a great step towards autonomous network anomaly detection.This PhD thesis has been funded through the ECODE project by the European Commission under the Framework Programme 7. The goal of this project is to develop, implement, and validate experimentally a cognitive routing system that meet the challenges experienced by the Internet in terms of manageability and security, availability and accountability, as well as routing system scalability and quality. The concerned use case inside the ECODE project is network anomaly
Stadelman, Dennis LeRoy Weiner Donald D. « Coherent radar detection in non-Gaussian clutter ». Related electronic resource : Current Research at SU : database of SU dissertations, recent titles available full text, 2004. http://wwwlib.umi.com/cr/syr/main.
Texte intégralDoyuran, Ulku. « Radar Target Detection In Non-gaussian Clutter ». Phd thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/3/12608899/index.pdf.
Texte intégralMayo, Elise. « A Non-filtering Gear Fault Detection Method ». Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/34387.
Texte intégralDe, Felice Rachele. « Automatic error detection in non-native English ». Thesis, University of Oxford, 2008. http://ora.ox.ac.uk/objects/uuid:5192f0cb-6e4d-4730-bb54-a97a73d603ed.
Texte intégralSchantz, Christopher James. « Non-intrusive fault detection in reciprocating compressors ». Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/67800.
Texte intégralCataloged from PDF version of thesis.
Includes bibliographical references (p. 128-130).
This thesis presents a set of techniques for non-intrusive sensing and fault detection in reciprocating compressors driven by induction motors. The procedures developed here are "non-intrusive" because they rely only on electrical measurements to reconstruct the mechanical signals internal to the compressor. This allows for easy and non-intrusive determination of many fault sensitive signals that usually require complicated, expensive, and time consuming operations to measure. A sample of the signals produced by the procedures of this thesis are estimates of the cylinder suction and discharge pressures and a composite torque signal containing the effects of the mechanical loads within the compressor. This load torque signal is especially sensitive to faults, and a demonstration of the effect on and detection of compressor valve faults from the load torque signal is given. One of the key steps in the algorithm presented here is a procedure to "invert" the induction motor dynamic model equations to allow direct calculation of motor shaft speed and torque from stator current and voltage measurements. For this procedure a non-intrusive method to estimate motor model parameters from an in-situ induction motor driving a periodic load was developed.
by Christopher James Schantz.
S.M.
Kolluri, Murali Mohan. « Non-parametric nonlinearity detection under broadband excitation ». University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1573224392534571.
Texte intégralGiovanny, Giron Amaya Edwin. « Non-parametric edge detection in speckled imagery ». Universidade Federal de Pernambuco, 2008. https://repositorio.ufpe.br/handle/123456789/6193.
Texte intégralCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
Este trabalho propõe uma técnica não-paramétrica para detecção de bordas em imagens speckle. As imagens SAR ("Synthetic aperture Radar"), sonar, B-ultrasound e laser são corrompidas por um ruído não aditivo chamado speckle. Vários modelos estatísticos foram propostos para desrever este ruído, levando ao desenvolvimento de técnicas especiais para melhoramento e análise de imagens. A distribuição G0 é um modelo estatístico que consegue descrever uma ampla gama de áreas, como, por exemplo, em dados SAR, pastos (lisos), florestas (rugosos) e áreas urbanas (muito rugosos). O objetivo deste trabalho é estudar ténicas alternativas na detecção de imagens speckled, tomando como ponto de partida Gambini et al. (2006, 2008). Um novo detector de borda baseado no teste de Kruskal Wallis é proposto. Os nossos resultados numéricos mostram que esse detector é uma alternativa atraente ao detector de M. Gambini, que é baseado na função de verossimilhançaa. Neste trabalho fornecemos evidências de que a técnica de M. Gambini pode ser substituída om sucesso pelo método Kruskal Wallis. O ganho reside em ter um algoritmo 1000 vezes mais rápido, sem omprometer a qualidade dos resultados
Diczfalusy, Elin, et Sarah Broberg. « Non-Invasive Methods for Detecting Drug and Alcohol Impaired Drivers : - a Study of Alcohol and Drug Biomarkers and Optical Detection Techniques ». Thesis, Linköping University, Department of Physics, Chemistry and Biology, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-16645.
Texte intégralIn recent years, the use of alcohol and psychoactive drugs in combination withdriving has recieved increased attention. The lack of in-vehicle devices capable ofdetecting recent drug consumption and the difficulties associated with the breathbasedalcolocks in use today makes it interesting to investigate methods that areable to non-invasivelly measure analytes directly in the blood.
The assignment of this project, commissioned by Volvo Technology Corporationand Volvo Car Corporation, is to map substances that constitute a possible threatto traffic safety, identify suitable detection markers as a proof of administrationof these substances, and study possible non-invasive techniques to detect thesemarkers. The objective is to present for Volvo if and how to continue evaluatingand developing a non-invasive detection device.
The project has been carried out by performing an extensive literature study and averification experiment. From the literature review, a number of substances affectingdriving performance could be identified, and a metabolic study was performedfor each drug to map suitable biomarkers. Furthermore, two potential techniquesfor non-invasive detection, near-infrared Raman spectroscopy and near-infraredspectroscopy, were found and evaluated. The experiment was conducted usingnear-infrared Raman spectroscopy, with the aim of investigating the sensitivityand linearity of the method for ethanol detection.
Based on the theoretical evaluation, both near-infrared Raman spectroscopy andnear-infrared spectroscopy are expected to have potential for non-invasive detectionof ethanol. The experiment further proved the theoretical conclusionsmade for near-infrared Raman spectroscopy. However, neither of the techniquesis thought to have potential for drug detection.Altogether, we believe that non-invasive ethanol detection is possible, but suggestfurther experiments in order to determine which technique to be preferred.
Chuah, Teong Chee. « Robust techniques for multiuser CDMA communications in non Gaussian noise environments ». Thesis, University of Newcastle Upon Tyne, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.246626.
Texte intégralChristoffersson, Anton. « Standalone vehicle emergency detection ». Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-63956.
Texte intégralNär man testar bilar på testanläggningar behövs det en lösning för att övervaka och spåra bilarna. Rajd Systrech’s lösning, Nelson, använder en mobilenhet som är monterad i bilen för att övervaka fordonet och genererar event utifrån information som den samlar. Ett av det viktigaste av dom generade eventen är olyckshändelse eventet som notifierar personen som övervakar testanläggningen att någonting har hänt. Det här examensarbetet beskriver hur ett fristående kollisionsdetekteringsbibliotek skapats för att förbättra de befintliga applikations eventet, vilket ger applikationen funktionen att upptäcka när en nödsituation hänt på banan med hjälp av mobilens interna sensorer.
Park, Hyung Chul, Kwyro Lee et Kamilo Feher. « NON-COHERENTLY DETECTED FQPSK : RAPID SYNCHRONIZATION AND COMPATIBILITY WITH PCM/FM RECEIVERS ». International Foundation for Telemetering, 2001. http://hdl.handle.net/10150/606461.
Texte intégralA new class of non-coherent detection techniques for recently standardized Feher patented quadrature phase-shift keying (FQPSK) systems is proposed and studied by computer aided design/simulations and also verified by experimental hardware measurements. The theoretical concepts of the described non-coherent techniques are based on an interpretation of the instantaneous frequency deviation or phase transition characteristics of FQPSK-B modulated signal at the front end of the receiver. These are accomplished either by Limiter-Discriminator (LD) or by Limiter-Discriminator followed by Integrate-and-Dump (LD I&D) methods. It is shown that significant BER performance improvements can be obtained by increasing the received signal’s observation time over multiple symbols as well as by adopting trellis-demodulation. For example, our simulation results show that a BER=10^-4 can be obtained for an E(b)/N(0)=12.7 dB.
Watson, Joseph Conrad. « Eddy current detection of magnetic and non-magnetic metallic edges beneath continuous plate ». Thesis, Brunel University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.394797.
Texte intégralLu, Sixing, et Sixing Lu. « Non-intrusive Runtime Anomaly Detection for Embedded Systems ». Diss., The University of Arizona, 2017. http://hdl.handle.net/10150/626111.
Texte intégralStensson, Katarina. « Generation and detection of non-classical photon states ». Licentiate thesis, KTH, Tillämpad fysik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-228058.
Texte intégralQC 20180517
Peng, Wei. « Non-linear detection algorithms for MIMO multiplexing systems ». Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/HKUTO/record/B39558563.
Texte intégralVasdekis, Spyridon. « Non invasive detection and quantification of venous reflux ». Thesis, Imperial College London, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.281766.
Texte intégralCumberbatch, Daniel T. « The indirect detection of non-Baryonic Dark Matter ». Thesis, University of Oxford, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.489426.
Texte intégralHuang, Y. H. « Computational detection of non-coding RNAs in genomes ». Thesis, University of Cambridge, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.604701.
Texte intégralPeng, Wei, et 彭薇. « Non-linear detection algorithms for MIMO multiplexing systems ». Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B39558563.
Texte intégralAmraoui, Mohamed Yacine. « Non-invasive damage detection and structural health monitoring ». Thesis, University of Bristol, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.271865.
Texte intégralO'Reilly, Colin. « Anomaly detection in non-stationary and distributed environments ». Thesis, University of Surrey, 2014. http://epubs.surrey.ac.uk/809414/.
Texte intégralCohen, Eric D. M. Eng Massachusetts Institute of Technology. « Vibration detection in turbomachinery using non-contacting sensors ». Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/38330.
Texte intégralIncludes bibliographical references (p. 103-105).
Recent developments have seen the introduction of multiple Eddy Current Sensors (ECS) into turbomachinery. These sensors employ an active magnetic field to monitor each blade as it passes the sensor. They generate an electrical signal proportional to the distance of a blade from the sensor. Existing algorithms extract two pieces of information from the ECS signature, signal magnitude and signal zero crossing time. The signal magnitude is used to find tip clearance, and the zero crossing time is used to estimate vibrational parameters over the course of multiple revolutions. These techniques fail to exploit the majority of the information contained in the ECS signal. In this research, a novel residue characterization algorithm was developed that processes the full ECS pulse to produce a residue. The residue is a speed independent representation of differences between a baseline ECS pulse and an experimental ECS pulse. A mathematical model of the relationship between blade displacement and residue was developed. Empirical data collected with the MIT spin pit were used to verify convergence of the model with the residue characterization algorithm. This strongly suggests blade vibration can be deduced using the residue characterization method with a single ECS sensor.
by Eric D. Cohen.
M.Eng.
Almin, Fredrik. « Detection of Non-Ferrous Materials with Computer Vision ». Thesis, Linköpings universitet, Datorseende, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-175519.
Texte intégralPessaux, François. « Detection statique d'exceptions non rattrapees en objective caml ». Paris 6, 1999. http://www.theses.fr/1999PA066398.
Texte intégralReid, Katherine Gregor. « Characterisation and non-cultural detection of Neisseria gonorrhoeae ». Thesis, University of Edinburgh, 1985. http://hdl.handle.net/1842/20141.
Texte intégralTsang, Wai-ming Peter. « Computer aided ultrasonic flaw detection and characterization / ». [Hong Kong : University of Hong Kong], 1987. http://sunzi.lib.hku.hk/hkuto/record.jsp?B12344928.
Texte intégralBourin, Stephanie. « Novel strategies for DNA detection assay ». Thesis, University of London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.265939.
Texte intégralFaghidi, Hamid. « Non-parametric and Non-filtering Methods for Rolling Element Bearing Condition Monitoring ». Thèse, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/30689.
Texte intégralAl-Nashash, H. A. M. « Non-invasive beat-to-beat detection of His-Purkinje system electrograms ». Thesis, University of Kent, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.381002.
Texte intégralMezil, Sylvain. « Nonlinear optoacoustics method for crack detection and characterization ». Phd thesis, Université du Maine, 2012. http://tel.archives-ouvertes.fr/tel-01037936.
Texte intégralFrontera, Pons Joana Maria. « Robust target detection for Hyperspectral Imaging ». Thesis, Supélec, 2014. http://www.theses.fr/2014SUPL0024/document.
Texte intégralHyperspectral imaging (HSI) extends from the fact that for any given material, the amount of emitted radiation varies with wavelength. HSI sensors measure the radiance of the materials within each pixel area at a very large number of contiguous spectral bands and provide image data containing both spatial and spectral information. Classical adaptive detection schemes assume that the background is zero-mean Gaussian or with known mean vector that can be exploited. However, when the mean vector is unknown, as it is the case for hyperspectral imaging, it has to be included in the detection process. We propose in this work an extension of classical detection methods when both covariance matrix and mean vector are unknown.However, the actual multivariate distribution of the background pixels may differ from the generally used Gaussian hypothesis. The class of elliptical distributions has already been popularized for background characterization in HSI. Although these non-Gaussian models have been exploited for background modeling and detection schemes, the parameters estimation (covariance matrix, mean vector) is usually performed using classical Gaussian-based estimators. We analyze here some robust estimation procedures (M-estimators of location and scale) more suitable when non-Gaussian distributions are assumed. Jointly used with M-estimators, these new detectors allow to enhance the target detection performance in non-Gaussian environment while keeping the same performance than the classical detectors in Gaussian environment. Therefore, they provide a unified framework for target detection and anomaly detection in HSI
Rayner, Stephen Mark. « Very high energy gamma rays from isolated pulsars and non-pulsating objects ». Thesis, Durham University, 1989. http://etheses.dur.ac.uk/6458/.
Texte intégralDosso, Mamadou. « Discrimination ultrasonore des défauts par traitement numérique de leurs échos ». Châtenay-Malabry, Ecole centrale de Paris, 1986. http://www.theses.fr/1986ECAP0003.
Texte intégralHamzah, Ab Razak. « The application of transient thermography to defect detection ». Thesis, University of Bath, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.296326.
Texte intégralMejia, Paloma Yasmin. « Smart Systems for Damage Detection and Prognosis ». Miami University Honors Theses / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=muhonors1114101552.
Texte intégralAzary, Sherif. « Detection of deformable objects in a non-stationary scene / ». Link to online version, 2005. https://ritdml.rit.edu/dspace/handle/1850/1178.
Texte intégralKuyucak, Selçuk. « Direct detection of non-metallic inclusions in molten iron ». Thesis, McGill University, 1985. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=63356.
Texte intégralActon, Matthew Nicholas Frederick. « Response Prediction and Detection in Non-linear Clamped Panels ». Thesis, University of Manchester, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.504772.
Texte intégral