Relevant bibliographies by topics / Detector principle

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Detector principle'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 May 2022

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Journal articles on the topic "Detector principle"

1

Xing, Zhen Ni, Yang Liu, Guo Zheng Zhu, and Shao Bei Luo. "Neutron Radiation Detection." Applied Mechanics and Materials 668-669 (October 2014): 932–35. http://dx.doi.org/10.4028/www.scientific.net/amm.668-669.932.

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The basic principle of neutron detection was proposed in the twentieth century, especially G.F.Knoll compiled Radiation Detection And Measurement in 1979, including detailed in principles and methods of radiation detection and measurement on a variety of hot and fast neutrons. In recent decades there is not have a big breakthrough on the principle of neutron detection development, but there is a great improvement in the performance and scope of neutron detectors. Depending on the working principle of neutron detector, it is roughly divided into the following three: Gas detectors, Semiconductor detectors and Scintillator detector.
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Nesse, Randolph M. "The smoke detector principle." Evolution, Medicine, and Public Health 2019, no. 1 (December 4, 2018): 1. http://dx.doi.org/10.1093/emph/eoy034.

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Nesse, Randolph M. "The Smoke Detector Principle." Annals of the New York Academy of Sciences 935, no. 1 (January 25, 2006): 75–85. http://dx.doi.org/10.1111/j.1749-6632.2001.tb03472.x.

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Wang, Lin, and Hong Wang. "Measurement and Application of Radiant Energy." Advanced Materials Research 503-504 (April 2012): 1463–67. http://dx.doi.org/10.4028/www.scientific.net/amr.503-504.1463.

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Based on the application of radiant energy in various fields, the fundamental knowledge about incident radiation, including physical quantities and units, is summarized. Then, the category and principle of radiant energy detector are introduced, i.e. thermal detectors and photodetectors. Also, their application conditions are compared. It is significantly important for users to understand their operation principles and to choose an appropriate radiation measuring detector.
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SCHREIBER, S. "THE TESLA DETECTOR." International Journal of Modern Physics A 13, no. 14 (June 10, 1998): 2455–66. http://dx.doi.org/10.1142/s0217751x98001244.

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The joint ECFA/DESY Study "Physics and Detectors for a Linear Collider" has worked out a proposal for a detector for a next generation TeV e+e- linear collider. In this report, the principle design and layout of the proposed detector with emphasis on the TESLA version is reviewed. Examples of reference reactions studied to demonstrate the detector performance are given.
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KANNO, Ikuo. "A transXend Detector - Principle and Applications." Progress in Nuclear Science and Technology 3 (2012): 1–6. http://dx.doi.org/10.15669/pnst.3.1.

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Deng, Fang Yi, Xin She Wu, and Yuan Fang Li. "In Modulating Ferroelectric Uncooled Infrared Focal Plane Detector." Applied Mechanics and Materials 455 (November 2013): 474–79. http://dx.doi.org/10.4028/www.scientific.net/amm.455.474.

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Aiming at detecting rate and frame rate problems restricting the development of ferroelectric detector technology, puts forward a new design method of ferroelectric ferroelectric detectors -- detector modulation. Improvement principle and structure of the original ferroelectric detectors, and summarizes the technical features of this device.
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SCHULZE, RICO, FRANZ DIETEL, JENS JÄKEL, and HENDRIK RICHTER. "AN ARTIFICIAL IMMUNE SYSTEM FOR CLASSIFYING AERODYNAMIC INSTABILITIES OF CENTRIFUGAL COMPRESSORS." International Journal of Computational Intelligence and Applications 11, no. 01 (March 2012): 1250002. http://dx.doi.org/10.1142/s1469026812500022.

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Anomaly detection prevents rotating machinery from unforeseeable faults. Using such detection methods, we consider the problem of identifying aerodynamic instabilities in centrifugal compressors by analyzing just the compressor's sound signal. Therefore, an artificial immune system (AIS)-based classification is applied. The deployed v-detectors work according to the negative selection principle and were optimized in position and shape by using a novel procedure of detector generation. This allows reducing the number of detectors while maintaining classification success. Ideas such as multiple layer AIS and fuzzy detector edges enhance the tuning of the classification response. Numerical results demonstrate the design, show the validity for the presented application and give an example for adopting soft computing methods for condition monitoring.
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Kshetri, R. "A first principle approach for clover detector." Journal of Instrumentation 7, no. 08 (August 16, 2012): P08015. http://dx.doi.org/10.1088/1748-0221/7/08/p08015.

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Cao, Binfang, Chengfa Liu, Lingjie Qin, and Xiaoqin Li. "Electroplating solution concentration detection based on interference principle and balanced detector." Optik 240 (August 2021): 166903. http://dx.doi.org/10.1016/j.ijleo.2021.166903.

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Dissertations / Theses on the topic "Detector principle"

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

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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
Banca: Marcos Roberto de Vasconcelos Lanza
Banca: Rosa Amália Fireman Dutra
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 pasta de carbono modificada com o complexo cloro-5,10,15,20-tetraquis(pentafluorofenil)-21H,23H-porfirina ferro (III), o qual apresenta uma estrutura química semelhante à do sítio ativo da enzima P450. O sensor construído apresentou as melhores respostas em tampão fosfato 0,20 mol L-1 e pH 6,0, usando a voltametria de onda quadrada a 50 Hz, 150 mV de amplitude e 1,5 mV de E. Com os parâmetros otimizados o sensor apresentou limites de detecção e de quantificação de 1,9 e 5,2 μmol L-1, respectivamente. Estudos realizados para averiguar a biomimeticidade do sensor, incluíram: velocidade de varredura por voltametria cíclica, exploração do perfil hiperbólico da resposta no sensor e avaliação da seletividade. O sensor foi satisfatoriamente usado na análise em diversos tipos de amostras de interesse ambiental. Foram feitos testes de recuperação e nas amostras de solo, águas superficiais e subterrâneas obtendo recuperação de 91%, 107% e 96% respectivamente, mostrando que o sensor pode ser usado como método alternativo para quantificação de TCP em diferentes matrizes. O sensor também foi empregado no monitoramento da eficiência de polímeros de impressão molecular (MIP) para TCP. Buscando obter o polímero biomimético mais eficiente para o analito, foram usadas ferramentas computacionais que permitiram escolher o melhor monômero (acrilonitrila)... (Resumo completo, clicar acesso eletrônico abaixo)
Abstract: This work is based on developing a biomimetic system for sensitive and selective monitoring of the TCP (3,5,6-trichloro-2-pyridinol), the principal metabolite of the pesticide chlorpyrifos, which is more soluble than the pesticide and whose occurrence in groundwater and surface water is more likely and dangerous. For this, a biomimetic sensor was constructed and the square wave voltammetric was used for measurements. The electrodes were fabricated using carbon paste modified with the complex chloro-5,10,15,20-tetrakis-(pentafluorophenyl)-21H,23H-porphyrin iron(III), which has a chemical structure similar to the active site of the enzyme P450. The sensor presented the best responses in phosphate buffer 0.20 mol L-1 and pH 6.0, using the square wave voltammetry with 50 Hz, amplitude of potential of 150 mV and ΔE of 1.5 mV. With the optimized parameters the sensor showed limits of detection and quantification of 1.9 and 5.2 μmol L-1, respectively. Studies conducted to investigate the mimicking of the sensor, included evaluation of the influence on scan rate in the cyclic voltammetry, the verification of the hyperbolic profile of the sensor response and evaluation of selectivity. The sensor has been satisfactorily applied in the analysis of different samples of environmental interest. Recovery experiments in samples of soil, surface water, and groundwater showed values of 91%, 107% and 96% respectively, showing that the sensor can be used as an alternative method for the quantification of TCP in different matrices. The sensor was also used to monitor the efficiency of molecularly imprinted polymers (MIP) for TCP. In order to obtain the most efficient biomimetic polymer to this analyte were used computational tools that allowed select the best monomer (acrylonitrile). In order to verify the results obtained by the theoretical... (Complete abstract click electronic access below)
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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)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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 pasta de carbono modificada com o complexo cloro-5,10,15,20-tetraquis(pentafluorofenil)-21H,23H-porfirina ferro (III), o qual apresenta uma estrutura química semelhante à do sítio ativo da enzima P450. O sensor construído apresentou as melhores respostas em tampão fosfato 0,20 mol L-1 e pH 6,0, usando a voltametria de onda quadrada a 50 Hz, 150 mV de amplitude e 1,5 mV de E. Com os parâmetros otimizados o sensor apresentou limites de detecção e de quantificação de 1,9 e 5,2 μmol L-1, respectivamente. Estudos realizados para averiguar a biomimeticidade do sensor, incluíram: velocidade de varredura por voltametria cíclica, exploração do perfil hiperbólico da resposta no sensor e avaliação da seletividade. O sensor foi satisfatoriamente usado na análise em diversos tipos de amostras de interesse ambiental. Foram feitos testes de recuperação e nas amostras de solo, águas superficiais e subterrâneas obtendo recuperação de 91%, 107% e 96% respectivamente, mostrando que o sensor pode ser usado como método alternativo para quantificação de TCP em diferentes matrizes. O sensor também foi empregado no monitoramento da eficiência de polímeros de impressão molecular (MIP) para TCP. Buscando obter o polímero biomimético mais eficiente para o analito, foram usadas ferramentas computacionais que permitiram escolher o melhor monômero (acrilonitrila)...
This work is based on developing a biomimetic system for sensitive and selective monitoring of the TCP (3,5,6-trichloro-2-pyridinol), the principal metabolite of the pesticide chlorpyrifos, which is more soluble than the pesticide and whose occurrence in groundwater and surface water is more likely and dangerous. For this, a biomimetic sensor was constructed and the square wave voltammetric was used for measurements. The electrodes were fabricated using carbon paste modified with the complex chloro-5,10,15,20-tetrakis-(pentafluorophenyl)-21H,23H-porphyrin iron(III), which has a chemical structure similar to the active site of the enzyme P450. The sensor presented the best responses in phosphate buffer 0.20 mol L-1 and pH 6.0, using the square wave voltammetry with 50 Hz, amplitude of potential of 150 mV and ΔE of 1.5 mV. With the optimized parameters the sensor showed limits of detection and quantification of 1.9 and 5.2 μmol L-1, respectively. Studies conducted to investigate the mimicking of the sensor, included evaluation of the influence on scan rate in the cyclic voltammetry, the verification of the hyperbolic profile of the sensor response and evaluation of selectivity. The sensor has been satisfactorily applied in the analysis of different samples of environmental interest. Recovery experiments in samples of soil, surface water, and groundwater showed values of 91%, 107% and 96% respectively, showing that the sensor can be used as an alternative method for the quantification of TCP in different matrices. The sensor was also used to monitor the efficiency of molecularly imprinted polymers (MIP) for TCP. In order to obtain the most efficient biomimetic polymer to this analyte were used computational tools that allowed select the best monomer (acrylonitrile). In order to verify the results obtained by the theoretical... (Complete abstract click electronic access below)
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5

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 компонентів НКС встановлено, що в основі всіх їх нейромережевих реалізацій лежить конекціоністська парадигма побудови штучних нейронних мереж. Було обґрунтовано та формалізовано альтернативний до конекціоністської парадигми детекторний принцип побудови архітектури НКС та її компонентів, в основі якого лежить встановлена властивість зв’язності елементів вхідного вектору сигналів та відповідних вагових коефіцієнтів нейроелемента НКС. На основі детекторного принципу були розроблені багатосегментні порогові інформаційні моделі компонентів детекторної НКС (ДНКС): блоків-детекторів, блоків-аналізаторів та блоку новизни, в яких в результаті розробленого методу зустрічного навчання формуються концепти, що визначають необхідні і достатні умови формування їх реакцій. Метод зустрічного навчання ДНКС дозволяє скоротити час її навчання при вирішенні практичних задач розпізнавання зображень до однієї епохи та скоротити розмірність навчальної вибірки. Крім того, цей метод дозволяє вирішити проблему стабільності-пластичності пам'яті ДНКС та проблему її перенавчання на основі самоорганізації карти блоків-детекторів вторинного рівня обробки інформації під управлінням блоку новизни. В результаті досліджень була розроблена модель мережевої архітектури ДНКС, що складається з двох шарів нейроморфних компонентів первинного та вторинного рівнів обробки інформації, та яка дозволяє скоротити кількість необхідних компонентів системи. Для обґрунтування підвищення ефективності побудови та використання НКС на основі детекторного принципу, були розроблені програмні моделі ДНКС автоматизованого моніторингу та аналізу зовнішньої електромагнітної обстановки, а також розпізнавання рукописних цифр бази даних MNIST. Результати дослідження цих систем підтвердили правильність теоретичних положень дисертації та високу ефективність розроблених моделей і методів.
Dissertation for the degree of Doctor of Technical Sciences in the specialty 05.13.05 – Computer systems and components. – National Technical University "Kharkiv Polytechnic Institute", Ministry of Education and Science of Ukraine, Kharkiv, 2018. The thesis is devoted to solving the problem of increasing the efficiency of building and using neuromorphic computer systems (NCS) as a result of developing models for constructing their components and a general architecture, as well as methods for their training based on the formalized detection principle. As a result of the analysis and classification of the architecture and components of the NCS, it is established that the connectionist paradigm for constructing artificial neural networks underlies all neural network implementations. The detector principle of constructing the architecture of the NCS and its components was substantiated and formalized, which is an alternative to the connectionist paradigm. This principle is based on the property of the binding of the elements of the input signal vector and the corresponding weighting coefficients of the NCS. On the basis of the detector principle, multi-segment threshold information models for the components of the detector NCS (DNCS): block-detectors, block-analyzers and a novelty block were developed. As a result of the developed method of counter training, these components form concepts that determine the necessary and sufficient conditions for the formation of reactions. The method of counter training of DNCS allows reducing the time of its training in solving practical problems of image recognition up to one epoch and reducing the dimension of the training sample. In addition, this method allows to solve the problem of stability-plasticity of DNCS memory and the problem of its overfitting based on self-organization of a map of block-detectors of a secondary level of information processing under the control of a novelty block. As a result of the research, a model of the network architecture of DNCS was developed, which consists of two layers of neuromorphic components of the primary and secondary levels of information processing, and which reduces the number of necessary components of the system. To substantiate the increase in the efficiency of constructing and using the NCS on the basis of the detector principle, software models were developed for automated monitoring and analysis of the external electromagnetic environment, as well as recognition of the manuscript figures of the MNIST database. The results of the study of these systems confirmed the correctness of the theoretical provisions of the dissertation and the high efficiency of the developed models and methods.
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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/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 компонентів НКС встановлено, що в основі всіх їх нейромережевих реалізацій лежить конекціоністська парадигма побудови штучних нейронних мереж. Було обґрунтовано та формалізовано альтернативний до конекціоністської парадигми детекторний принцип побудови архітектури НКС та її компонентів, в основі якого лежить встановлена властивість зв’язності елементів вхідного вектору сигналів та відповідних вагових коефіцієнтів нейроелемента НКС. На основі детекторного принципу були розроблені багатосегментні порогові інформаційні моделі компонентів детекторної НКС (ДНКС): блоків-детекторів, блоків-аналізаторів та блоку новизни, в яких в результаті розробленого методу зустрічного навчання формуються концепти, що визначають необхідні і достатні умови формування їх реакцій. Метод зустрічного навчання ДНКС дозволяє скоротити час її навчання при вирішенні практичних задач розпізнавання зображень до однієї епохи та скоротити розмірність навчальної вибірки. Крім того, цей метод дозволяє вирішити проблему стабільності-пластичності пам'яті ДНКС та проблему її перенавчання на основі самоорганізації карти блоків-детекторів вторинного рівня обробки інформації під управлінням блоку новизни. В результаті досліджень була розроблена модель мережевої архітектури ДНКС, що складається з двох шарів нейроморфних компонентів первинного та вторинного рівнів обробки інформації, та яка дозволяє скоротити кількість необхідних компонентів системи. Для обґрунтування підвищення ефективності побудови та використання НКС на основі детекторного принципу, були розроблені програмні моделі ДНКС автоматизованого моніторингу та аналізу зовнішньої електромагнітної обстановки, а також розпізнавання рукописних цифр бази даних MNIST. Результати дослідження цих систем підтвердили правильність теоретичних положень дисертації та високу ефективність розроблених моделей і методів.
Dissertation for the degree of Doctor of Technical Sciences in the specialty 05.13.05 – Computer systems and components. – National Technical University "Kharkiv Polytechnic Institute", Ministry of Education and Science of Ukraine, Kharkiv, 2018. The thesis is devoted to solving the problem of increasing the efficiency of building and using neuromorphic computer systems (NCS) as a result of developing models for constructing their components and a general architecture, as well as methods for their training based on the formalized detection principle. As a result of the analysis and classification of the architecture and components of the NCS, it is established that the connectionist paradigm for constructing artificial neural networks underlies all neural network implementations. The detector principle of constructing the architecture of the NCS and its components was substantiated and formalized, which is an alternative to the connectionist paradigm. This principle is based on the property of the binding of the elements of the input signal vector and the corresponding weighting coefficients of the NCS. On the basis of the detector principle, multi-segment threshold information models for the components of the detector NCS (DNCS): block-detectors, block-analyzers and a novelty block were developed. As a result of the developed method of counter training, these components form concepts that determine the necessary and sufficient conditions for the formation of reactions. The method of counter training of DNCS allows reducing the time of its training in solving practical problems of image recognition up to one epoch and reducing the dimension of the training sample. In addition, this method allows to solve the problem of stability-plasticity of DNCS memory and the problem of its overfitting based on self-organization of a map of block-detectors of a secondary level of information processing under the control of a novelty block. As a result of the research, a model of the network architecture of DNCS was developed, which consists of two layers of neuromorphic components of the primary and secondary levels of information processing, and which reduces the number of necessary components of the system. To substantiate the increase in the efficiency of constructing and using the NCS on the basis of the detector principle, software models were developed for automated monitoring and analysis of the external electromagnetic environment, as well as recognition of the manuscript figures of the MNIST database. The results of the study of these systems confirmed the correctness of the theoretical provisions of the dissertation and the high efficiency of the developed models and methods.
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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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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 as random terms, then those slopes can be controlled with a single variance term. The semi-parametric model then becomes a linear mixed effect problem.

Data of large dimensions has become a serious computation burden, especially when it comes to nonlinearity. A good dimension reduction technique is needed to ease this situation. Methods like LASSO type penalties have very good performance in linear regression. Traditional LASSO add a restriction on slopes to the model. Parameters can be shrunk to 0. Here we extend that method to semi-parametric spline fitting, making it possible to reduce dimensions of nonlinearity. The problem of nonlinearity detection is then transformed to a model selection problem. The penalty is taken on variance terms which control nonlinearity in each dimension. As the limit value changes, variance terms can be shrunk to 0. When one variance term is reduced to 0, the nonlinear part of that dimension is removed from the model. AIC/BIC criteria are used to choose the final model. This method is very challenging since testing is almost impossible due to the boundary situation.

The method is further extended to generalized additive model. Quasi-likelihood is adopted to simplify the problem, making it similar to partially linear additive case. LASSO type penalties are again performed on variance components of each dimension, making dimension reduction possible for nonlinear terms. Conditional AIC/BIC is used to select the model.

The dissertation is consisted of five parts.

In Chapter 1, we have a thorough literature review. All previous works including semi-parametric modeling, penalized spline fitting, linear mixed effect modeling, variable selection methods, and generalized nonparametric modeling are all introduced here.

In Chapter 2, the model construction is explained in detail for single dimension case. It includes derivation of iteration procedures, computation technique discussion, simulation studies including power analysis, and discussions of other parameter estimation methods.

In Chapter 3, the model is extended to multiple dimensional case. In addition to model construction, derivation of iteration procedures, computation technique discussion and simulation studies, we have a real data example, using plasma beta-carotene data from a nutritional study. The result shows advantage of nonlinearity detection.

In Chapter 4, generalized additive modeling is considered. We especially focus on the two most commonly used distributions, Bernoulli distribution and Poisson distribution. Model is constructed using Quasi-likelihood. Two iteration methods are introduced here. Simulation studies are performed on both distributions of one dimensional and multiple dimensional case. We have a real data example using Pima Indian diabetes study dataset. The result also shows advantage of nonlinearity detection.

In Chapter 5, some possible future works are dicussed. The topics include more complicated covariance matrix structure of random terms, dimension reduction for both linearity and nonlinearity at the same time, bootstrap method with model selection taken into account, and higher degree p-spline setup.

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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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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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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 proposed method demonstrated a successful application on how to effectively utilize image processing in tackling clinical challenges. It is shown that the cooperation of spatial localization using linear model prediction with evolutionary principal components and local search estimation using statistical shape models is capable of effectively extracting important landmark detection information from both morphometric relationships of landmarks and consistent intensity distribution of images. It is accurate (compared to 1.6 mm root mean squared errors of manual labeling of brain landmarks), consistent, reliable in predicting many salient midbrain point landmarks such as ac, pc, MPJ, etc. in a longitudinal, multisubject environment, and throughout large datasets with different modalities and image information such as orientation, spacing, and origin. The framework of linear model estimation method using evolutionary principal components and the idea of local search using statistical shape models are generalized to the detection task for arbitrary number of landmarks in other organs, creatures, or even any other physical objects in the world as long as the landmarks present intensity consistency and satisfy regularity in spatial organization.
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Books on the topic "Detector principle"

1

Hauptmann, Peter. Sensors: Principles and applications. Munich: C. Hanser, 1993.

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Janata, Jirí. Principles of chemical sensors. New York: Plenum, 1989.

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Principles of chemical sensors. New York: Plenum Press, 1989.

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Microsensors: Principles and applications. Chichester: Wiley, 1994.

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Delaney, C. F. G. Radiation detectors: Physical principles and applications. Oxford: Clarendon Press, 1992.

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J, Watson, ed. The stannic oxide gas sensor: Principles and applications. Boca Raton: CRC Press, 1994.

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Eichholz, Geoffrey G. Principles of nuclear radiation detection. Chelsea, MI: Lewis Publishers, 1985.

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Mehrotra, Kishan G., Chilukuri K. Mohan, and HuaMing Huang. Anomaly Detection Principles and Algorithms. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67526-8.

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Leroy, Claude. Principles of radiation interaction in matter and detection. 3rd ed. New Jersey: World Scientific, 2012.

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Leroy, Claude. Principles of radiation interaction in matter and detection. Singapore: World Scientific, 2005.

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Book chapters on the topic "Detector principle"

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Bortfeldt, Jonathan. "Functional Principle of Micromegas." In The Floating Strip Micromegas Detector, 19–39. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18893-5_2.

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Takayama, Akari. "Basic Principle of Photoemission Spectroscopy and Spin Detector." In High-Resolution Spin-Resolved Photoemission Spectrometer and the Rashba Effect in Bismuth Thin Films, 15–30. Tokyo: Springer Japan, 2014. http://dx.doi.org/10.1007/978-4-431-55028-0_2.

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Parida, Laxmi, Davi Geiger, and Robert Hummel. "Kona: A multi-junction detector using minimum description length principle." In Lecture Notes in Computer Science, 51–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-62909-2_72.

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Tan, Ying, and Zhenhe Guo. "Algorithms of Non-self Detector by Negative Selection Principle in Artificial Immune System." In Lecture Notes in Computer Science, 867–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11539117_122.

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Frühwirth, Rudolf, and Are Strandlie. "Tracking Detectors." In Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors, 3–21. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-65771-0_1.

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AbstractThe chapter gives an overview of particle detectors, with the emphasis on tracking detectors. The working principles and the calibration of gaseous, semiconductor, and fiber detectors are explained, followed by a brief review of detector alignment. As an illustration, the tracking systems of the four experiments at the LHC and two non-LHC experiments, Belle II and CBM, are presented.
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Chugg, Keith M., Achilleas Anastasopoulos, and Xiaopeng Chen. "Principles of Iterative Detection." In Iterative Detection, 77–191. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1699-6_2.

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ATTREP, MOSES. "Radiation Detection Principles." In Radioanalytical Chemistry, 7–38. New York, NY: Springer New York, 2006. http://dx.doi.org/10.1007/0-387-34123-4_2.

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Wang, Jing, Jinglin Zhou, and Xiaolu Chen. "Statistics Decomposition and Monitoring in Original Variable Space." In Intelligent Control and Learning Systems, 79–100. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8044-1_6.

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AbstractThe traditional process monitoring method first projects the measured process data into the principle component subspace (PCS) and the residual subspace (RS), then calculates $$\mathrm T^2$$ T 2 and $$\mathrm SPE$$ S P E statistics to detect the abnormality. However, the abnormality by these two statistics are detected from the principle components of the process. Principle components actually have no specific physical meaning, and do not contribute directly to identify the fault variable and its root cause. Researchers have proposed many methods to identify the fault variable accurately based on the projection space. The most popular is contribution plot which measures the contribution of each process variable to the principal element (Wang et al. 2017; Luo et al. 2017; Liu and Chen 2014). Moreover, in order to determine the control limits of the two statistics, their probability distributions should be estimated or assumed as specific one. The fault identification by statistics is not intuitive enough to directly reflect the role and trend of each variable when the process changes.
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Oliveira, Mario Anderson, Jozue Vieira Filho, Vicente Lopes, and Daniel J. Inman. "Damage Detection Based on Electromechanical Impedance Principle and Principal Components." In Topics in Modal Analysis, Volume 7, 307–15. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6585-0_28.

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Ferrero, Marco, Roberta Arcidiacono, Marco Mandurrino, Valentina Sola, and Nicolò Cartiglia. "Operating Principles of Silicon Sensors." In An Introduction to Ultra-Fast Silicon Detectors, 1–12. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003131946-1.

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Conference papers on the topic "Detector principle"

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Wu, Jingjing, Hongyan Chen, Xinna Zhang, and Qianjin Hu. "Methane Detector Based on the Principle of NDIR." In 2019 2nd International Conference on Information Systems and Computer Aided Education (ICISCAE). IEEE, 2019. http://dx.doi.org/10.1109/iciscae48440.2019.221584.

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Zhang, Yan, Tao Mei, Deyi Kong, Chengmei Zhang, Yongchun Tao, and Shengjun Hu. "Principle and Experimental Study of a MEMS Explosive Particle Detector." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-41236.

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A new explosive particle detection with MEMS is presented in this paper, which utilize the properties of explosive particles. The principle of the detector is described firstly: every explosive has unique melting and evaporation point, when single explosive particle on the sensor surface melts and absorbs heat from it, the temperature change of the sensor will occurs. Unlike other indirect detecting method, a step heating method was proposed to control the working state of the sensor. The method had the advantages of easy implementation, active controlling and high selectivity: Firstly, the voltage will make the temperature of the sensor a little lower than the melting point of explosive, and the fusion of the explosive will not occur yet; With the voltage begin to increase again, the temperature of the sensor will also increase up to the melting point and produce a respond graph called base graph. The same voltage pulse was sent through the sensor before and after putting the explosive particles on the sensor surface. Absorption of heat from it during melting and evaporation causes its temperature changing and the shift on the respond graph is different from the former. Furthermore, experiments have been performed to confirm the feasibility to measure the temperature directly, and the graph is presented to show the difference between the changing with TNT sample existing or not, the resistance changing is apparent in graph when the temperature increase close to the melting point of TNT.
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Rajan, K. K., G. Vijayakumar, S. Chandramouli, K. Madhusoodhanan, P. Kalyanasundaram, and G. Vaidyanathan. "Experimental Evaluation of Wire Type Leak Detector Layout for Prototype Fast Breeder Reactor (PFBR)." In 17th International Conference on Nuclear Engineering. ASMEDC, 2009. http://dx.doi.org/10.1115/icone17-75822.

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Wire type leak detectors working on conductivity principle are used for detecting sodium leak in the secondary sodium circuits of FBRs. It is required to assess the performance of these detectors and confirm that they are meeting the requirements. A test facility by name LEENA was constructed at Indira Gandhi Centre for Atomic Research (IGCAR), Kalpakkam to test the wire type leak detector lay out by simulating sodium leaks of different rates. This test facility consists of a sodium dump tank, a test vessel, interconnecting pipelines with valves, micro filter and test section with leak simulators. There are three different test sections in the test set up of length 1000 mm each. These test sections simulate piping of Prototype Fast Breeder Reactor (PFBR) secondary circuit and the leak detector layout in full scale. All test sections are provided with leak simulator. A leak simulator consists of a hole of size one mm drilled in the test section and closed with a tapered pin. The pin position is adjusted by a screw mechanism and there by the annular gap of flow area is varied for getting different leak rates. Test facility was commissioned and 20 experiments were attempted at 350°C to 550°C. Out of 20 experiments 11 experiments were successfully completed and 9 experiments were terminated in between due to the choke in the simulator hole. From the experimental data it is found that sodium leak rate of 200 g/h and above can be detected within 6 hours. A relationship between leak rate and detection time was established from the experimental results and found that sodium leak rate of 100g/h is likely to be detected in 11.4 hours. This paper deals with the details of wire type leak detector layout for the secondary sodium circuit of PFBR, performance requirement of leak detection system as per codes, description of test facility, experimental procedure and test results. Paper also reviews the experiment conducted in CEA, Cadrache and compares with results of present experimental study.
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Xu, Bin, Dongliang Yu, Jiayong Wu, Hongchao Wang, Dongjie Tan, and Likun Wang. "Research on Infrared Laser Leak Detection for Natural Gas Pipeline." In 2012 9th International Pipeline Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/ipc2012-90082.

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An airborne infrared laser leak detection technology is proposed to detect natural gas pipeline leakage by helicopter which carrying a detector that can detect a high spatial resolution of trace of methane on the ground. The principle of the airborne infrared laser leak detection system is based on tunable diode laser absorption spectroscopy. The system consists of an optical unit including the laser, camera, helicopter mount, electronic unit with GPS receiver, a notebook computer and a pilot monitor. And the system is mounted on a helicopter. The principle and the architecture of the airborne infrared laser leak detection system are presented. Field test experiments are carried out on West-East Natural Gas Pipeline of China, and the results show that the airborne laser leak detection method is suitable for detecting gas leak of pipeline on plain, desert and hills but unfit for the area with large altitude diversification.
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Civinini, Carlo, Monica Scaringella, Danilo Bonanno, Mirko Brianzi, Massimo Carpinelli, G. A. Pablo Cirrone, Giacomo Cuttone, et al. "Proof-of-Principle results of proton computed tomography." In 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD). IEEE, 2016. http://dx.doi.org/10.1109/nssmic.2016.8069620.

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Dikmese, Sener, Zhenyu Zheng, Paschalis C. Sofotasios, Markku Renfors, and Mikko Valkama. "Efficient Wireless Microphone sensing: Subband energy detector principle and measured performance." In 2015 IEEE International Conference on Signal Processing for Communications (ICC). IEEE, 2015. http://dx.doi.org/10.1109/icc.2015.7249522.

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Camerini, Daniel Almeida, Jean Pierre von der Weid, Cla´udio Soligo Camerini, and Carlos Eduardo Maia. "Leak Detector Pig for Oil Pipelines." In 2004 International Pipeline Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/ipc2004-0095.

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The leakage detector pig was created with the purpose of detect and locate leakages in a preventive way. The fast detection of small leakages decreases the probability of larger leakages. By means of a differential pressure system based on pressure data acquired through the pig’s running, using pressure sensors installed on the pig’s vessel, small leakages are identified and its positions registered. This allows a quick intervention at the identified location. The working principle is based on the pressure difference caused by the leakage, which is read by the sensors. The polyurethane cups responsible by the pig’s propulsion are of a special kind capable of sealing a constant volume of product among them. So, when the pig passes through a leakage, the pressure in the middle drops compared to those in front and hear, generating a characteristic signal thus permiting identification. The first prototype was tested intensively at laboratory facilities, and in a test pipeline showing excellent results locating precisely all the simulated leakages. Defects from different sizes with different flow where simulated and measured. This work has the objective to present the tool, its potential, the test results, to discuss its efficiency in detect and locate leakages and the possibilities for the future.
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Vasudevan, A., C. Bourland, S. Jung, and T. Ji. "Preparation of Zinc Oxide Nanorods for Wheatstone Bridge Principle based UV Detector." In IASTED Technology Conferences 2010. Calgary,AB,Canada: ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.707-032.

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Li, Yan-ping, Cui-fen Lun, Xiu-mei Guo, Li-ling Zhang, Xiao-qin Zhang, Li-kun Zhang, and Wei Li. "Design of Coal Mined Zone Temperature Detector Based on Optic Absorption Principle." In 2010 2nd International Conference on Information Engineering and Computer Science (ICIECS). IEEE, 2010. http://dx.doi.org/10.1109/iciecs.2010.5678224.

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Frach, T., G. Prescher, C. Degenhardt, R. de Gruyter, A. Schmitz, and R. Ballizany. "The digital silicon photomultiplier — Principle of operation and intrinsic detector performance." In 2009 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC 2009). IEEE, 2009. http://dx.doi.org/10.1109/nssmic.2009.5402143.

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Reports on the topic "Detector principle"

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Eick, Brian, Zachary Treece, Billie Spencer, Matthew Smith, Steven Sweeney, Quincy Alexander, and Stuart Foltz. Miter gate gap detection using principal component analysis. Engineer Research and Development Center (U.S.), June 2018. http://dx.doi.org/10.21079/11681/27365.

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Hinnrichs, Michele. Hyperspectral Imaging Sensor with Real-Time Processor Performing Principle Components Analyses for Gas Detection. Fort Belvoir, VA: Defense Technical Information Center, March 2000. http://dx.doi.org/10.21236/ada393785.

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Carde, Ring T. Use of Semiochemicals for Survey and Detection of Exotic Insects: Principles and Constraints. Fort Belvoir, VA: Defense Technical Information Center, January 2002. http://dx.doi.org/10.21236/ada399846.

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Estes, G. P., R. G. Schrandt, and J. T. Kriese. Automated MCNP photon source generation for arbitrary configurations of radioactive materials and first-principles calculations of photon detector responses. Office of Scientific and Technical Information (OSTI), March 1988. http://dx.doi.org/10.2172/5186273.

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Kauer, John, Joel White, Timothy Turner, and Barbara Talamo. Principles of Odor Recognition by the Olfactory System Applied to Detection of Low-Concentration Explosives. Fort Belvoir, VA: Defense Technical Information Center, January 2003. http://dx.doi.org/10.21236/ada410979.

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Hull, Carter D. Phase I - Final report: Improved position sensitive detectors for thermal neutrons. Design, fabrication, and results of testing the Phase I - Proof-of-Principal Improved Position Sensitive Thermal Neutron Detector Prototype in the laboratory and at the Intense Pulsed Neutron Source (IPNS), Argonne National Laboratory. Office of Scientific and Technical Information (OSTI), April 2001. http://dx.doi.org/10.2172/771289.

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Bielinskyi, Andriy, Serhiy Semerikov, Oleksandr Serdiuk, Victoria Solovieva, Vladimir Soloviev, and Lukáš Pichl. Econophysics of sustainability indices. [б. в.], October 2020. http://dx.doi.org/10.31812/123456789/4118.

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In this paper, the possibility of using some econophysical methods for quantitative assessment of complexity measures: entropy (Shannon, Approximate and Permutation entropies), fractal (Multifractal detrended fluctuation analysis – MF-DFA), and quantum (Heisenberg uncertainty principle) is investigated. Comparing the capability of both entropies, it is obtained that both measures are presented to be computationally efficient, robust, and useful. Each of them detects patterns that are general for crisis states. The similar results are for other measures. MF-DFA approach gives evidence that Dow Jones Sustainability Index is multifractal, and the degree of it changes significantly at different periods. Moreover, we demonstrate that the quantum apparatus of econophysics has reliable models for the identification of instability periods. We conclude that these measures make it possible to establish that the socially responsive exhibits characteristic patterns of complexity, and the proposed measures of complexity allow us to build indicators-precursors of critical and crisis phenomena.
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Burks, Thomas F., Victor Alchanatis, and Warren Dixon. Enhancement of Sensing Technologies for Selective Tree Fruit Identification and Targeting in Robotic Harvesting Systems. United States Department of Agriculture, October 2009. http://dx.doi.org/10.32747/2009.7591739.bard.

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The proposed project aims to enhance tree fruit identification and targeting for robotic harvesting through the selection of appropriate sensor technology, sensor fusion, and visual servo-control approaches. These technologies will be applicable for apple, orange and grapefruit harvest, although specific sensor wavelengths may vary. The primary challenges are fruit occlusion, light variability, peel color variation with maturity, range to target, and computational requirements of image processing algorithms. There are four major development tasks in original three-year proposed study. First, spectral characteristics in the VIS/NIR (0.4-1.0 micron) will be used in conjunction with thermal data to provide accurate and robust detection of fruit in the tree canopy. Hyper-spectral image pairs will be combined to provide automatic stereo matching for accurate 3D position. Secondly, VIS/NIR/FIR (0.4-15.0 micron) spectral sensor technology will be evaluated for potential in-field on-the-tree grading of surface defect, maturity and size for selective fruit harvest. Thirdly, new adaptive Lyapunov-basedHBVS (homography-based visual servo) methods to compensate for camera uncertainty, distortion effects, and provide range to target from a single camera will be developed, simulated, and implemented on a camera testbed to prove concept. HBVS methods coupled with imagespace navigation will be implemented to provide robust target tracking. And finally, harvesting test will be conducted on the developed technologies using the University of Florida harvesting manipulator test bed. During the course of the project it was determined that the second objective was overly ambitious for the project period and effort was directed toward the other objectives. The results reflect the synergistic efforts of the three principals. The USA team has focused on citrus based approaches while the Israeli counterpart has focused on apples. The USA team has improved visual servo control through the use of a statistical-based range estimate and homography. The results have been promising as long as the target is visible. In addition, the USA team has developed improved fruit detection algorithms that are robust under light variation and can localize fruit centers for partially occluded fruit. Additionally, algorithms have been developed to fuse thermal and visible spectrum image prior to segmentation in order to evaluate the potential improvements in fruit detection. Lastly, the USA team has developed a multispectral detection approach which demonstrated fruit detection levels above 90% of non-occluded fruit. The Israel team has focused on image registration and statistical based fruit detection with post-segmentation fusion. The results of all programs have shown significant progress with increased levels of fruit detection over prior art.
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Lamontagne, M. Développement d'un système d'alerte précoce pour les tremblements de terre du Québec. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328951.

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Several regions of the world already have or are in the process of developing an early warning system (EWS) for earthquakes. As is well known, earthquakes cannot be predicted in the short term. However, an EWS is based on the principle that when a strong earthquake occurs, the initial seismic waves detected by seismographs near the epicentre can be quickly analysed. Once analyzed automatically, an alarm signal can be sent to more distant areas before damaging seismic waves arrive. This alert can then be used to take action before the seismic waves arrive (such as stopping industrial activities for example). In Canada, these technologies are being developed for the Pacific region and Eastern Canada. Quebec is particularly interesting because earthquakes of magnitude 5 are felt at great distances, which increases the warning time when an earthquake occurs. Natural Resources Canada (NRCan) will lead this initiative, in partnership with provincial collaborators. The private sector will also be involved through the development of software and applications. NRCan is therefore reaching out to potential partners in such an earthquake warning system.
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Kotenko, I. V. Formal Methods for Information Protection Technology. Task 2: Mathematical Foundations, Architecture and Principles of Implementation of Multi-Agent Learning Components for Attack Detection in Computer Networks. Part 2. Fort Belvoir, VA: Defense Technical Information Center, November 2003. http://dx.doi.org/10.21236/ada427492.

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