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Dissertations / Theses on the topic 'Detector principle'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Kandlakunta, Praneeth. "A Proof-of-Principle Investigation for a Neutron-Gamma Discrimination Technique in a Semiconductor Neutron Detector." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1332447196.

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2

Фесенко, А. "Металлоискатель". Thesis, Сумский государственный университет, 2014. http://essuir.sumdu.edu.ua/handle/123456789/38883.

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3

Santos, André Luiz dos [UNESP]. "Desenvolvimento de sistem biomimético para análise de 3,5,6-Tricloro-2-piridinol, o principal metabólito do clorpirifós." Universidade Estadual Paulista (UNESP), 2012. http://hdl.handle.net/11449/97833.

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Made available in DSpace on 2014-06-11T19:29:08Z (GMT). No. of bitstreams: 0 Previous issue date: 2012-10-22Bitstream added on 2014-06-13T20:38:25Z : No. of bitstreams: 1 santos_al_me_araiq.pdf: 1374698 bytes, checksum: 4000b6c44028dbd65db8795f30a87ff5 (MD5)<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)<br>O presente trabalho está baseado no desenvolvimento de um sistema biomimético para monitoramento sensível e seletivo do metabólito TCP (3,5,6-tricloro-2-piridinol), proveniente do agrotóxico clorpitifós, o qual é mais solúvel que o próprio agrotóxico e cuja ocorrên

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Santos, André Luiz dos. "Desenvolvimento de sistem biomimético para análise de 3,5,6-Tricloro-2-piridinol, o principal metabólito do clorpirifós /." Araraquara, 2012. http://hdl.handle.net/11449/97833.

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Orientador: Maria Del Pilar Taboada Sotomayor<br>Banca: Marcos Roberto de Vasconcelos Lanza<br>Banca: Rosa Amália Fireman Dutra<br>Resumo: O presente trabalho está baseado no desenvolvimento de um sistema biomimético para monitoramento sensível e seletivo do metabólito TCP (3,5,6-tricloro-2-piridinol), proveniente do agrotóxico clorpitifós, o qual é mais solúvel que o próprio agrotóxico e cuja ocorrência em águas subterrâneas e superficiais é mais provável e perigosa. Foi construído um sensor biomimético com detecção voltamétrica por onda quadrada, os eletrodos, foram confeccionados à base de

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Паржин, Юрій Володимирович. "Моделі і методи побудови архітектури і компонентів детекторних нейроморфних комп'ютерних систем". Thesis, НТУ "ХПІ", 2018. http://repository.kpi.kharkov.ua/handle/KhPI-Press/34755.

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Дисертація на здобуття наукового ступеня доктора технічних наук за спеціальністю 05.13.05 – комп'ютерні системи та компоненти. – Національний технічний університет "Харківський політехнічний інститут", Міністерство освіти і науки України, Харків, 2018. Дисертація присвячена вирішенню проблеми підвищення ефективності побудови та використання нейроморфних комп'ютерних систем (НКС) в результаті розробки моделей побудови їх компонентів та загальної архітектури, а також методів їх навчання на основі формалізованого детекторного принципу. В результаті аналізу і класифікації архітектури та компонент

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6

Паржин, Юрій Володимирович. "Моделі і методи побудови архітектури і компонентів детекторних нейроморфних комп'ютерних систем". Thesis, НТУ "ХПІ", 2018. http://repository.kpi.kharkov.ua/handle/KhPI-Press/34756.

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Дисертація на здобуття наукового ступеня доктора технічних наук за спеціальністю 05.13.05 – комп'ютерні системи та компоненти. – Національний технічний університет "Харківський політехнічний інститут", Міністерство освіти і науки України, Харків, 2018. Дисертація присвячена вирішенню проблеми підвищення ефективності побудови та використання нейроморфних комп'ютерних систем (НКС) в результаті розробки моделей побудови їх компонентів та загальної архітектури, а також методів їх навчання на основі формалізованого детекторного принципу. В результаті аналізу і класифікації архітектури та компонен

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7

Cong, Jie. "Nonlinearity Detection Using Penalization-Based Principle." Thesis, The George Washington University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10927993.

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<p> When constructing a statistical model, nonlinearity detection has always been an interesting topic and a difficult problem. To balance precision of parametric modeling and robustness of nonparametric modeling, the semi-parametric modeling method has shown very good performance. The specific example, spline fitting, can very well estimate nonlinear patterns. However, as the number of spline bases goes up, the method can generate a large amount of parameters to estimate, especially for multiple dimensional case. It's been discussed in the literature to treat additional slopes of spline bases

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8

Petersen, James Vincent. "Investigation into the fundamental principles of fiber optic evanescent sensors." Diss., This resource online, 1990. http://scholar.lib.vt.edu/theses/available/etd-02052007-081233/.

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9

Foster, Marc Douglas. "Liquid chromatographic separation and sensing principles with a water only mobile phase /." Thesis, Connect to this title online; UW restricted, 1996. http://hdl.handle.net/1773/8503.

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10

Lu, Wei. "A method for automated landmark constellation detection using evolutionary principal components and statistical shape models." Thesis, University of Iowa, 2010. https://ir.uiowa.edu/etd/851.

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Medical imaging technologies such as MRI, CT, PET, etc. enable the use of higher resolution 3D digital image data for research and clinical treatment. The new technologies provide improved spatial resolution at the cost of increased data processing time. Manual identification of anatomical landmarks is still a common practice in many neuroimaging and other medical imaging applications but it is labor-intensive, subjective, and suffers from intra-/inter- rater inconsistency. This work explored one way of estimating a landmark constellation automatically, consistently, and efficiently. The propo

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Anderson, William Boyd. "Detection of lubricating film breakdown in mechanical seals." Thesis, Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/20148.

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12

Mahmood, Muhammad Tariq. "Face Detection by Image Discriminating." Thesis, Blekinge Tekniska Högskola, Avdelningen för för interaktion och systemdesign, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4352.

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Human face recognition systems have gained a considerable attention during last few years. There are very many applications with respect to security, sensitivity and secrecy. Face detection is the most important and first step of recognition system. Human face is non rigid and has very many variations regarding image conditions, size, resolution, poses and rotation. Its accurate and robust detection has been a challenge for the researcher. A number of methods and techniques are proposed but due to a huge number of variations no one technique is much successful for all kinds of faces and images

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13

Ledaguenel, Patrick. "Detection des lithiases de la voie biliaire principale : proposition d'un score prédictif." Bordeaux 2, 1994. http://www.theses.fr/1994BOR23010.

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14

Veeravalli, Murali Srinidhi. "A microfluidic Coulter counting device for metal wear detection in lubrication oil." Akron, OH : University of Akron, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=akron1226866175.

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Thesis (M.S.)--University of Akron, Dept. of Mechanical Engineering, 2008.<br>"December, 2008." Title from electronic thesis title page (viewed 12/9/2009) Advisor, Jiang John Zhe; Faculty Readers, Joan Carletta, Dane Quinn; Department Chair, Celal Batur; Dean of the College, George K. Haritos; Dean of the Graduate School, George R. Newkome. Includes bibliographical references.

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15

Khwambala, Patricia Helen. "The importance of selecting the optimal number of principal components for fault detection using principal component analysis." Master's thesis, University of Cape Town, 2012. http://hdl.handle.net/11427/11930.

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Includes summary.<br>Includes bibliographical references.<br>Fault detection and isolation are the two fundamental building blocks of process monitoring. Accurate and efficient process monitoring increases plant availability and utilization. Principal component analysis is one of the statistical techniques that are used for fault detection. Determination of the number of PCs to be retained plays a big role in detecting a fault using the PCA technique. In this dissertation focus has been drawn on the methods of determining the number of PCs to be retained for accurate and effective fault detect

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Motloung, Setumo Victor. "Intense pulsed neutron generation based on the principle of Plasma Immersion Ion Implantation (PI3) technique." Thesis, University of the Western Cape, 2006. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_9599_1182748458.

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<p>The development of a deuterium-deuterium/ tritium-deuterium (D-D/ D-T) pulsed neutron generator based on the principle of the Plasma Immersion Ion Implantation (PI3) technique is presented, in terms of investigating development of a compact system to generate an ultra short burst of mono-energetic neutrons (of order 1010 per second) during a short period of time (&lt<br>20&mu<br>s) at repetition rates up to 1 kHz. The system will facilitate neutron detection techniques, such as neutron back-scattering, neutron radiography and time-of-flight activation analysis.</p> <p><br /> Aspects address

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Alturki, Abdulrahman S. "Principal Point Determination for Camera Calibration." University of Dayton / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1500326474390507.

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18

Lehnert, Simon [Verfasser], and Christian [Akademischer Betreuer] Leibold. "Biophysical principles underlying binaural coincidence detection : computational approaches / Simon Lehnert. Betreuer: Christian Leibold." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2015. http://d-nb.info/1082504750/34.

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19

Peterle, Fabio. "Fault Detection and Diagnosis for Refrigeration Systems." Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3425897.

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The theme of cooling is recurrent in the world around us. Air conditioning systems in residential environments are the most common examples of refrigeration systems. However, also in the treatment, storage, transport and distribution of food products, as well as in the health and tertiary sectors, refrigeration plays a central role. The main purpose of this research is the analysis of some techniques for the detection and diagnosis of faults in this type of systems, also called chillers. In the work, the chiller is analyzed in all its components, for which the operating principle and the signi

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20

Aguirre, Jurado Ricardo. "Resilient Average and Distortion Detection in Sensor Networks." ScholarWorks@UNO, 2009. http://scholarworks.uno.edu/td/962.

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In this paper a resilient sensor network is built in order to lessen the effects of a small portion of corrupted sensors when an aggregated result such as the average needs to be obtained. By examining the variance in sensor readings, a change in the pattern can be spotted and minimized in order to maintain a stable aggregated reading. Offset in sensors readings are also analyzed and compensated to help reduce a bias change in average. These two analytical techniques are later combined in Kalman filter to produce a smooth and resilient average given by the readings of individual sensors.

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21

Lee-Davey, Jon. "Application of machine olfaction principles for the detection of high voltage transformer oil degradation." Thesis, Cranfield University, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.405216.

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22

Yano, Daisuke. "Application of a contact potential difference probe to detection of nanometer-scale lubricant on a hard disk." Thesis, Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/17528.

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23

Buswell, Richard A. "Uncertainty in the first principle model based condition monitoring of HVAC systems." Thesis, Loughborough University, 2001. https://dspace.lboro.ac.uk/2134/7559.

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Model based techniques for automated condition monitoring of HVAC systems have been under development for some years. Results from the application of these methods to systems installed in real buildings have highlighted robustness and sensitivity issues. The generation of false alarms has been identified as a principal factor affecting the potential usefulness of condition monitoring in HVAC applications. The robustness issue is a direct result of the uncertain measurements and the lack of experimental control that axe characteristic of HVAC systems. This thesis investigates the uncertainties

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Möllberg, Andreas. "Investigation of the principle of flame rectification in order to improve detection of the propane flame in absorption refrigerators." Thesis, Linköping University, The Department of Physics, Chemistry and Biology, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-488.

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<p>Electrical properties of a propane flame was investigated to improve detection of the flame in absorption refrigerators. The principle of flame rectification, which uses the diode property of the flame, was studied. A DC voltage in the range 0–130V was applied, between the burner and an electrode in the flame, and the current through the flame in the forward and reverse direction was measured. This measurements were performed with the electrode top in different horizontal and vertical positions. AC voltages at various frequencies was also applied and the average current through the flame wa

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Tejada, Gamero Enrique David. "Object detection in videos using principal component pursuit and convolutional neural networks." Master's thesis, Pontificia Universidad Católica del Perú, 2018. http://tesis.pucp.edu.pe/repositorio/handle/123456789/11982.

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Object recognition in videos is one of the main challenges in computer vision. Several methods have been proposed to achieve this task, such as background subtraction, temporal differencing, optical flow, particle filtering among others. Since the introduction of Convolutonal Neural Networks (CNN) for object detection in the Imagenet Large Scale Visual Recognition Competition (ILSVRC), its use for image detection and classification has increased, becoming the state-of-the-art for such task, being Faster R-CNN the preferred model in the latest ILSVRC challenges. Moreover, the Faster R-CNN

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Merrill, Nicholas Swede. "Modified Kernel Principal Component Analysis and Autoencoder Approaches to Unsupervised Anomaly Detection." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/98659.

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Unsupervised anomaly detection is the task of identifying examples that differ from the normal or expected pattern without the use of labeled training data. Our research addresses shortcomings in two existing anomaly detection algorithms, Kernel Principal Component Analysis (KPCA) and Autoencoders (AE), and proposes novel solutions to improve both of their performances in the unsupervised settings. Anomaly detection has several useful applications, such as intrusion detection, fault monitoring, and vision processing. More specifically, anomaly detection can be used in autonomous driving to ide

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Bertils, Joakim. "Implementation of Principal Component Analysis For Use in Anomaly Detection Using CUDA." Thesis, Linköpings universitet, Programvara och system, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160475.

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As more and more systems are connected, a large benefit is found in being able to find and predict problems in the monitored process. By analyzing the data in real time, feedback can be generated to the operators or the process allowing the process to correct itself. This thesis implements and evaluates three CUDA GPU implementations of the principal component analysis used for dimensionality reduction of multivariate data sets running in real time to explore the trade-offs of the algorithm implementations in terms of speed, energy and accuracy. The GPU implementations are compared to referenc

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Abuasbeh, Mohammad. "Fault Detection and Diagnosis for Brine to Water Heat Pump Systems." Thesis, KTH, Tillämpad termodynamik och kylteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-183595.

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The overall objective of this thesis is to develop methods for fault detection and diagnosis for ground source heat pumps that can be used by servicemen to assist them to accurately detect and diagnose faults during the operation of the heat pump. The aim of this thesis is focused to develop two fault detection and diagnosis methods, sensitivity ratio and data-driven using principle component analysis. For the sensitivity ratio method model, two semi-empirical models for heat pump unit were built to simulate fault free and faulty conditions in the heat pump. Both models have been cross-validat

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Halligan, Gary. "Fault detection and prediction with application to rotating machinery." Diss., Rolla, Mo. : Missouri University of Science and Technology, 2009. http://scholarsmine.mst.edu/thesis/pdf/Halligan_09007dcc80708356.pdf.

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Thesis (M.S.)--Missouri University of Science and Technology, 2009.<br>Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed November 25, 2009) Includes bibliographical references.

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Davenport, Timothy M. "Early Forest Fire Detection using Texture Analysis of Principal Components from Multispectral Video." DigitalCommons@CalPoly, 2012. https://digitalcommons.calpoly.edu/theses/795.

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The aim of this study is to incorporate the spectral, temporal and spatial attributes of a smoke plume for Early Forest Fire Detection. Image processing techniques are used on multispectral (red, green, blue, mid-wave infrared, and long-wave infrared) video to segment and indentify the presence of a smoke plume within a scene. The temporal and spectral variance of a smoke plume is captured through Principal Component Analysis (PCA) where the Multispectral-Multitemporal PCA is performed on a sequence of video frames simultaneously. The presence of a plume existing in one of the higher order pri

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Ostruška, Jan. "Ochrany při zemních spojeních." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-221169.

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The thesis deals with wattmetric and conductance principle of faulted feeder detection in medium voltage compensated distribution networks. These principles are analysed and tested with particular emphasis on high impedance earth faults. The first part of testing utilizes data about state of the system with earth fault, which was determined by designed static model of earth fault. The testing in the second part utilizes real records of high impedance earth faults. In both parts the wattmetric and conductance protections was presented on protective relays ABB REF 615, ABB REM 543 and Protection

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32

Koehl, Marie. "La négociation en droit des entreprises en difficulté." Thesis, Paris 10, 2019. http://www.theses.fr/2019PA100016/document.

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S’intéresser à la négociation en droit des entreprises en difficulté peut sembler, de prime abord, surprenant tant cette branche du droit est marquée du sceau de l'ordre public. La logique de dialogue entre le débiteur et ses créanciers s’observe pourtant de plus en plus dans la majorité des procédures offertes au débiteur pour traiter ses difficultés. C’est que les perspectives du législateur ont changé : il ne s’agit plus seulement de sanctionner, mais davantage de prévenir les difficultés et de sauvegarder les entreprises avec l’intime conviction qu’une norme consentie est une norme efficac

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Moussa, Georges Fouad Mr. "EARLY FOREST FIRE DETECTION USING TEXTURE, BLOB THRESHOLD, AND MOTION ANALYSIS OF PRINCIPAL COMPONENTS." DigitalCommons@CalPoly, 2012. https://digitalcommons.calpoly.edu/theses/881.

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Forest fires constantly threaten ecological systems, infrastructure and human lives. The purpose behind this study is minimizing the devastating damage caused by forest fires. Since it is impossible to completely avoid their occurrences, it is essential to accomplish a fast and appropriate intervention to minimize their destructive consequences. The most traditional method for detecting forest fires is human based surveillance through lookout towers. However, this study presents a more modern technique. It utilizes land-based real-time multispectral video processing to identify and determine t

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Garges, David Casimir. "Early Forest Fire Detection via Principal Component Analysis of Spectral and Temporal Smoke Signature." DigitalCommons@CalPoly, 2015. https://digitalcommons.calpoly.edu/theses/1456.

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The goal of this study is to develop a smoke detecting algorithm using digital image processing techniques on multi-spectral (visible & infrared) video. By utilizing principal component analysis (PCA) followed by spatial filtering of principal component images the location of smoke can be accurately identified over a period of exposure time with a given frame capture rate. This result can be further analyzed with consideration of wind factor and fire detection range to determine if a fire is present within a scene. Infrared spectral data is shown to contribute little information concerning the

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Aradhye, Hrishikesh Balkrishna. "Anomaly Detection Using Multiscale Methods." The Ohio State University, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=osu989701610.

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Londono-Vasquez, Douglas. "APPLICATIONS OF THE HARDY-WEINBERG PRINCIPLE TO DETECTION OF LINKAGE DISEQUILIBRIUM AND GENOTYPING ERRORS IN THE CONTEXT OF ASSOCIATION STUDIES." Case Western Reserve University School of Graduate Studies / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=case1181247657.

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FERAUD, RAPHAEL. "Un modele connexionniste utilisant un principe de longueur de description minimale : application a la detection de visages." Rennes 1, 1997. http://www.theses.fr/1997REN10238.

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Les reseaux de neurones sont des modeles statistiques, qui permettent l'apprentissage numerique par l'exemple. Un modele pour l'apprentissage d'un reseau de neurones est developpe et applique a la detection de visages. Cette approche est basee sur les reseaux de neurones autoassociatifs. Nous verrons, que pour utiliser ce type de reseau comme un estimateur, il faut faire des hypotheses tres fortes sur les donnees. En etudiant l'affaiblissement de ces hypotheses, nous presenterons notre modele, le modele generatif contraint : - generatif, puisque le but de l'apprentissage de ce reseau est d'eva

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Zuzarte, Ian Jeromino. "A Principal Component Regression Analysis for Detection of the Onset of Nocturnal Hypoglycemia in Type 1 Diabetic Patients." University of Akron / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=akron1226955083.

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Radjabi, Ryan F. "WILDFIRE DETECTION SYSTEM BASED ON PRINCIPAL COMPONENT ANALYSIS AND IMAGE PROCESSING OF REMOTE-SENSED VIDEO." DigitalCommons@CalPoly, 2016. https://digitalcommons.calpoly.edu/theses/1621.

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Early detection and mitigation of wildfires can reduce devastating property damage, firefighting costs, pollution, and loss of life. This thesis proposes the method of Principal Component Analysis (PCA) of images in the temporal domain to identify a smoke plume in wildfires. Temporal PCA is an effective motion detector, and spatial filtering of the output Principal Component images can segment the smoke plume region. The effective use of other image processing techniques to identify smoke plumes and heat plumes are compared. The best attributes of smoke plume detectors and heat plume detectors

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Marques, Miguel Alexandre Castanheira. "On-line system for faults detection in induction motors based on PCA." Master's thesis, Faculdade de Ciências e Tecnologia, 2012. http://hdl.handle.net/10362/8578.

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Dissertation to obtain the degree of Master in Electrical and Computer Engineering<br>Nowadays in the industry there many processes where human intervention is replaced by electrical machines, especially induction machines due to his robustness, performance and low cost. Although, induction machines are a high reliable device, they are also susceptible to faults. Therefore, the study of induction machine state is essential to reduce human and financial costs. The faults in induction machines can be divided mainly into two types: electrical faults and mechanical faults. Electrical faults repre

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Anderson, James. "A comparison of four change detection techniques for two urban areas in the United States." Morgantown, W. Va. : [West Virginia University Libraries], 2002. http://etd.wvu.edu/templates/showETD.cfm?recnum=2371.

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Thesis (M.A.)--West Virginia University, 2002.<br>Title from document title page. Document formatted into pages; contains ix, 61 p. : col. ill., col. maps. Includes abstract. Includes bibliographical references (p. 40-42).

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Mill, Robert William. "The application of auditory signal processing principles to the detection, tracking and association of tonal components in sonar." Thesis, University of Sheffield, 2008. http://etheses.whiterose.ac.uk/12827/.

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A steady signal exerts two complementary effects on a noisy acoustic environment: one is to add energy, the other is to create order. The ear has evolved mechanisms to detect both effects and encodes the fine temporal detail of a stimulus in sequences of auditory nerve discharges. Taking inspiration from these ideas, this thesis investigates the use of regular timing for sonar signal detection. Algorithms that operate on the temporal structure of a received signal are developed for the detection of merchant vessels. These ideas are explored by reappraising three areas traditionally associated

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Zuzarte, Ian. "A principal component regression analysis for detection of the onset of nocturnal hypoglycemia in Type I diabetic patients." Akron, OH : University of Akron, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=akron1226955083.

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Thesis (M.S.)--University of Akron, Dept. of Biomedical Engineering, 2008.<br>"December, 2008." Title from electronic thesis title page (viewed 12/12/2009) Advisor, Dale H. Mugler; Committee members, Daniel B. Sheffer, Bruce C. Taylor; Department Chair, Daniel B. Sheffer; Dean of the College, George K. Haritos; Dean of the Graduate School, George R. Newkome. Includes bibliographical references.

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Onder, Murat. "Face Detection And Active Robot Vision." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/2/12605290/index.pdf.

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The main task in this thesis is to design a robot vision system with face detection and tracking capability. Hence there are two main works in the thesis: Firstly, the detection of the face on an image that is taken from the camera on the robot must be achieved. Hence this is a serious real time image processing task and time constraints are very important because of this reason. A processing rate of 1 frame/second is tried to be achieved and hence a fast face detection algorithm had to be used. The Eigenface method and the Subspace LDA (Linear Discriminant Analysis) method are implemented, te

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Falcoz-Vigne, Vincent. "Définition d'un principe de détection de fluorescence induite applique au diagnostic en cancérologie." Vandoeuvre-les-Nancy, INPL, 1993. http://www.theses.fr/1993INPL065N.

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Le diagnostic de certains cancers par détection de fluorescence induite par laser krypton constitue un nouvel espoir dans l'éventail des techniques modernes de dépistage de la maladie. Elle fait appel aux derniers développements en matière de lasers médicaux et d'agents photosensibilisants. Les propriétés de rétention sélective de ceux-ci (notamment l'hematoporphyrine et ses dérivés) dans les zones tumorales et leur excitabilité dans une longueur d'onde adéquate, constituent la base de cet aspect de la thérapie photodynamique. Le bas niveau de la fluorescence des colorants, et l'autofluorescen

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Shirvany, Réza. "Estimation of the Degree of Polarization in Polarimetric SAR Imagery : Principles and Applications." Thesis, Toulouse, INPT, 2012. http://www.theses.fr/2012INPT0082/document.

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Les radars à synthèse d’ouverture (RSO) polarimétriques sont devenus incontournables dans le domaine de la télédétection, grâce à leur zone de couverture étendue, ainsi que leur capacité à acquérir des données dans n’importe quelles conditions atmosphériques de jour comme de nuit. Au cours des trois dernières décennies, plusieurs RSO polarimétriques ont été utilisés portant une variété de modes d’imagerie, tels que la polarisation unique, la polarisation double et également des modes dits pleinement polarimétriques. Grâce aux recherches récentes, d’autres modes alternatifs, tels que la polaris

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GANDINO, EDOARDO. "Diagnostics of machines and structures: dynamic identification and damage detection." Doctoral thesis, Politecnico di Torino, 2013. http://hdl.handle.net/11583/2506356.

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This research work deals with damage detection of engineering machines and structures. This topic, developed in particular for bearing diagnostics in the first part of the work, is strictly related to dynamic identification when structures are considered. Thus, subspace-based methods are investigated in the second part of the work, with particular attention to nonlinear system identification. Changes in operational and environmental conditions for structures (such as air temperature, temperature gradients, humidity, wind, etc.) or machines (such as oil temperature, loads, rotating regimes, etc

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Thai, Trang Thuy. "Design and development of novel radio frequency sensors based on far-field and near-field principles." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50303.

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The objective of this work is to enhance and advance sensing technologies with the design and development of novel radio frequency (RF) sensors based on far-field and near-field principles of the electromagnetic (EM) resonances. In the first part of this thesis, original design and development of a passive RF temperature sensor, a passive RF strain sensor, and a passive RF pressure sensor are presented. The RF temperature sensor is presented in Chapter 3. It is based on split ring resonators loaded with bimorph cantilevers. Its operating principles and equivalent circuits are discussed in Chap

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Ortiz, Carlos. "First Principles Calculations of Electron Transport and Structural Damage by Intense Irradiation." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-102376.

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Grbovic, Mihajlo. "Data Mining Algorithms for Decentralized Fault Detection and Diagnostic in Industrial Systems." Diss., Temple University Libraries, 2012. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/177848.

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Computer and Information Science<br>Ph.D.<br>Timely Fault Detection and Diagnosis in complex manufacturing systems is critical to ensure safe and effective operation of plant equipment. Process fault is defined as a deviation from normal process behavior, defined within the limits of safe production. The quantifiable objectives of Fault Detection include achieving low detection delay time, low false positive rate, and high detection rate. Once a fault has been detected pinpointing the type of fault is needed for purposes of fault mitigation and returning to normal process operation. This is kn

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