Relevant bibliographies by topics / Detection Coefficient

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  2. Dissertations / Theses
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  4. Conference papers

Academic literature on the topic 'Detection Coefficient'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 February 2022

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Journal articles on the topic "Detection Coefficient"

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Najam, Laith Ahmed, Abdalsattar Kareem Hashim, Hussein Abdulkareem Ahmed, and Israa M. Hassan. "Study the Attenuation Coefficient of Granite to Use It as Shields against Gamma Ray." Detection 04, no. 02 (2016): 33–39. http://dx.doi.org/10.4236/detection.2016.42005.

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Yang, Hui, Xue Song Zhao, and Jun Jun Zong. "A Bioaerosol Detection IRLidar." Advanced Materials Research 941-944 (June 2014): 1178–83. http://dx.doi.org/10.4028/www.scientific.net/amr.941-944.1178.

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Lidar is the main standoff detection system against bioagent/bioaerosol, An infrared lidar has been developed for bioagent/bioaerosol monitoring. The overall architecture and specifications of the lidar were described. The results of overlap coefficient, horizontal and slant measurements at Hefei, such as comparison of observed horizontal extinction coefficients between commercial MPL Lidar and the IRLidar, the slant path time-space extinction coefficient distributions have been revealed and discussed. The results show that the IRLidar is a reliable lidar with advanced performances.
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Mortuza, Fahad Bin. "Kernel-Coefficient-Based Feature Method for Face Detection." International Journal of Image and Graphics 19, no. 02 (2019): 1950009. http://dx.doi.org/10.1142/s0219467819500098.

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A kernel-coefficient-based feature method is proposed to detect faces. The proposed method uses a mathematical expression and 26 different arrangements of kernel-coefficients of a kernel (testing region). The method manipulates the symmetric appearance of a face with respect to a rigid-kernel (fixed region). The expression, which is used to generate feature values, responds to pixels on edges of the image-objects only. For each distinct arrangement of kernel-coefficients, a feature-value is generated. The objective of the proposed kernel-coefficient-based feature method is to reduce the number
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Chui, Kwok Tai, Wadee Alhalabi, and Ryan Wen Liu. "Head motion coefficient-based algorithm for distracted driving detection." Data Technologies and Applications 53, no. 2 (2019): 171–88. http://dx.doi.org/10.1108/dta-09-2018-0086.

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PurposeConcentration is the key to safer driving. Ideally, drivers should focus mainly on front views and side mirrors. Typical distractions are eating, drinking, cell phone use, using and searching things in car as well as looking at something outside the car. In this paper, distracted driving detection algorithm is targeting on nine scenarios nodding, head shaking, moving the head 45° to upper left and back to position, moving the head 45° to lower left and back to position, moving the head 45° to upper right and back to position, moving the head 45° to lower right and back to position, movi
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Saganowski, Łukasz, and Tomasz Andrysiak. "Snort IDS Hybrid ADS Preprocessor." Image Processing & Communications 17, no. 4 (2012): 17–22. http://dx.doi.org/10.2478/v10248-012-0024-0.

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Abstract The paper presents hybrid anomaly detection preprocessor for SNORT IDS - Intrusion Detection System [1] base on statistical test and DWT - Discrete Wavelet Transform coefficient analysis. Preprocessor increases functionality of SNORT IDS system and has complementary properties. Possibility of detection network anomalies is increased by using two different algorithms. SNORT captures network traffic features which are used by ADS (Anomaly Detection System) preprocessor for detecting anomalies. Chi-square statistical test and DWT subband coefficients energy values are used for calculatin
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Lee, Chang-Young, Suk-Moon Chung, and Nam-Ho Kim. "Edge Detection Method using Modified Coefficient Masks." Journal of the Institute of Electronics Engineers of Korea 50, no. 5 (2013): 218–23. http://dx.doi.org/10.5573/ieek.2013.50.5.218.

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Santiago, Caio, Vivian Pereira, and Luciano Digiampietri. "Homology Detection Using Multilayer Maximum Clustering Coefficient." Journal of Computational Biology 25, no. 12 (2018): 1328–38. http://dx.doi.org/10.1089/cmb.2017.0266.

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Cepel, Raina, K. Ho, Brett Rinker, Donald Palmer, Terrence Lerch, and Steven Neal. "Spatial Correlation Coefficient Images for Ultrasonic Detection." IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control 54, no. 9 (2007): 1841–50. http://dx.doi.org/10.1109/tuffc.2007.468.

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Wang, Zhen, Fang Liu, Lian Qing Yu, and Shuang Hong Chen. "Structural Damage Detection Using Sensitivity-Enhanced Autoregressive Coefficients." International Journal of Structural Stability and Dynamics 16, no. 03 (2016): 1550001. http://dx.doi.org/10.1142/s0219455415500017.

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This paper presents an innovative technique for structural damage detection based on time series analysis with feedback controllers incorporated into the structure. The sensitivity of autoregressive (AR) coefficients to element stiffness is first derived, and it is proposed that the sensitivity of the AR coefficients can be enhanced by intentionally assigning the poles of the detection system. Finally, an [Formula: see text] control chart is constructed based on the sensitivity-enhanced AR coefficient. Identification of the occurrence of damage is achieved by monitoring statistically significa
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Uprety, Pralhad, Fumio Yamazaki, and Fabio Dell'Acqua. "Damage Detection Using High-Resolution SAR Imagery in the 2009 L'Aquila, Italy, Earthquake." Earthquake Spectra 29, no. 4 (2013): 1521–35. http://dx.doi.org/10.1193/060211eqs126m.

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Satellite remote sensing is being used to monitor disaster-affected areas for post-disaster reconnaissance and recovery. One of the special features of Synthetic Aperture Radar (SAR) is that it can operate day and night and penetrate the cloud cover because of which it is being widely used in emergency situations. Building damage detection for the 6 April 2009 L'Aquila, Italy, earthquake was conducted using high-resolution TerraSAR-X images obtained before and after the event. The correlation coefficient and the difference of backscatter coefficients of the pre- and post-event images were calc
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Dissertations / Theses on the topic "Detection Coefficient"

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Lu, Su. "DCT coefficient based text detection." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 57 p, 2008. http://proquest.umi.com/pqdweb?did=1605147371&sid=4&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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Cepel, Raina. "The spatial cross-correlation coefficient as an ultrasonic detection statistic." Diss., Columbia, Mo. : University of Missouri-Columbia, 2007. http://hdl.handle.net/10355/5054.

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Thesis (M.S.)--University of Missouri-Columbia, 2007.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on April 7, 2008) Includes bibliographical references.
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Chen, Chengshang. "Rear Approaching Vehicle Detection with Microphone." Thesis, Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-23565.

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When a cyclist is cycling on a suburban road, it’s a problem to notice fast rear approaching vehicles in some cases. Looking back frequently is not a good idea. Finding some technical way to help cyclist perceiving rear approaching vehicles is quite necessary. This project aims to find some proper sensor to detect rear approaching vehicles. It’s separated into three steps. First, choose the suitable sensor and capture data. Then, find proper analyzing tool to analyze the capture data. Last but not least, draw a conclusion after analyzing contrast. Microphone is chosen as the sensor to recordin
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Dunn, Ashley Liston. "Jackknife stability of articulated tractor semitrailer vehicles with high-output brakes and jackknife detection on low coefficient surfaces." Columbus, Ohio : Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1061328963.

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Thesis (Ph. D.)--Ohio State University, 2003.<br>Title from first page of PDF file. Document formatted into pages; contains xxiv, 319 p.; also includes graphics. Includes abstract and vita. Advisors: Dennis Guenther and Georgio Rizzoni, Dept. of Mechanical Engineering. Includes bibliographical references (p. 314-319).
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Dunn, Ashley L. "Jackknife stability of articulated tractor semitrailer vehicles with high-output brakes and jackknife detection on low coefficient surfaces." The Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=osu1061328963.

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Mvelase, Mashinga Johannes. "Radon escape from water." Thesis, University of the Western Cape, 2010. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_3869_1307688700.

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<p>This thesis aims to measure the rate of radon loss from water in a systematic way. The dependence on surface area, temperature and concentration will be investigated. The experiments were done at UWC by creating radon using radium sources and then measuring the radon concentrations inside a vacuum chamber to obtain the speed of radon escape from the water. The results are compared to a model [Cal 2002] where the radon concentration in the air and hence the transfer rate is measured using a RAD7 radon detector. Since the equations cannot be solved analytically, a numerical solution is employ
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Maciel, Danilo Leal. "Sherlock N-Overlap: normalization invasive and overlap coefficient for analysis of similarity between source code in programming disciplines." Universidade Federal do CearÃ, 2014. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=12195.

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CoordenaÃÃo de AperfeÃoamento de Pessoal de NÃvel Superior<br>This work is contextualized in the problem of plagiarism detection among source codes in programming classes. Despite the wide set of tools available for the detection of plagiarism, only few tools are able to effectively identify all lexical and semantic similarities between pairs of codes, because of the complexity inherent to this type of analysis. Therefore to the problem and the scenario in question, it was made a study about the main approaches discussed in the literature on detecting plagiarism in source code and as a main co
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Nascimento, Mariá Cristina Vasconcelos. "Metaheurísticas para o problema de agrupamento de dados em grafo." Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-17052010-155334/.

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O problema de agrupamento de dados em grafos consiste em encontrar clusters de nós em um dado grafo, ou seja, encontrar subgrafos com alta conectividade. Esse problema pode receber outras nomenclaturas, algumas delas são: problema de particionamento de grafos e problema de detecção de comunidades. Para modelar esse problema, existem diversas formulações matemáticas, cada qual com suas vantagens e desvantagens. A maioria dessas formulações tem como desvantagem a necessidade da definição prévia do número de grupos que se deseja obter. Entretanto, esse tipo de informação não está contida em dados
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Palandro, David A. "Coral reef habitat change and water clarity assessment (1984-2002) for the Florida Keys national marine sanctuary using landsat satellite data." [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001778.

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Kharrat, Mohamed. "Design and development of a torsional guided-waves inspection system for the detection and sizing of defects in pipes." Thesis, Ecully, Ecole centrale de Lyon, 2012. http://www.theses.fr/2012ECDL0016/document.

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Plusieurs industries manipulent des substances liquides et gazeuses qui circulent souvent dans de longues canalisations. La technique d'ondes guidées est couramment utilisée dans ce domaine. Cette technique est en progrès continu. Dans cette thèse, un système d'inspection a été conçu et développé. Il est basé sur des transducteurs piézoélectriques qui génèrent des ondes guidées de torsion pouvant se propager le long du tube testé. Les signaux réfléchis des défauts et singularités rencontrés sont détectés aussi par des capteurs piézoélectriques. Des simulations numériques utilisantpar la méthod
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Book chapters on the topic "Detection Coefficient"

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Zhong, Daidi, and Irek Defée. "Facial Features Detection by Coefficient Distribution Map." In Computer Analysis of Images and Patterns. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11556121_101.

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Lodhi, Pooja, Omji Mishra, and Dharmveer Singh Rajpoot. "Sorted Outlier Detection Approach Based on Silhouette Coefficient." In Lecture Notes in Electrical Engineering. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2553-3_19.

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Huang, Qijuan, Rangding Wang, Diqun Yan, and Jian Zhang. "AAC Audio Compression Detection Based on QMDCT Coefficient." In Cloud Computing and Security. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00021-9_32.

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Lee, Chang-Young, and Nam-Ho Kim. "Edge Detection Using Modified Directional Coefficient Mask in AWGN." In Lecture Notes in Electrical Engineering. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6516-0_61.

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Anudeep, Bhatraj, Prakriti Kumar Srivastava, Sauvik Biswas, and Paresh Kumar Nayak. "High Impedance Fault Detection in Microgrids Using Cross-Alienation Coefficient." In Lecture Notes in Electrical Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0275-7_4.

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Uhl, A., M. Liedlgruber, K. Butz, et al. "Hippocampus Segmentation and SPHARM Coefficient Selection are Decisive for MCI Detection." In Bildverarbeitung für die Medizin 2018. Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-56537-7_65.

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Rui, Ting, Zijian Yang, You Zhou, Husheng Fang, and Jingwei Zhu. "Target Detection Based on Kernel Density Estimation Combined with Correlation Coefficient." In Lecture Notes in Computer Science. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-03731-8_72.

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Imamura, Kousuke, Hideo Kuroda, and Makoto Fujimura. "Image Content Detection Method Using Correlation Coefficient between Pixel Value Histograms." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-27183-0_1.

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Zhang, Xinmeng, Yuefeng Li, Shengyi Jiang, et al. "Efficient Community Detection Based on Label Propagation with Belonging Coefficient and Edge Probability." In Communications in Computer and Information Science. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2993-6_5.

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Shi, Xiaofei, Xu Zhang, Derui Song, and DeJun Zou. "A Coastline Detection Algorithm with ACM Driven by Diffusion Coefficient for SAR Imagery." In Lecture Notes in Electrical Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8411-4_231.

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Conference papers on the topic "Detection Coefficient"

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Su Lu and Kenneth E. Barner. "Weighted DCT coefficient based text detection." In ICASSP 2008 - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2008. http://dx.doi.org/10.1109/icassp.2008.4517866.

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Wang, Zhe, Li Wang, Tiesheng Wu, and Shuyang Hu. "Characteristics of PCF filled with large thermo-optic coefficient liquid." In International Symposium on Photoelectronic Detection and Imaging 2011, edited by Yuelin Wang, Huikai Xie, and Yufeng Jin. SPIE, 2011. http://dx.doi.org/10.1117/12.898757.

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Yang, Jian, He Chen, Yin-chao Zhang, Si-ying Chen, Pan Guo, and Li-na Liu. "Study on the extinction coefficient of spherical aerosol particles." In ISPDI 2013 - Fifth International Symposium on Photoelectronic Detection and Imaging, edited by Farzin Amzajerdian, Astrid Aksnes, Weibiao Chen, Chunqing Gao, Yongchao Zheng, and Cheng Wang. SPIE, 2013. http://dx.doi.org/10.1117/12.2034942.

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Li, Baosheng, Liang Li, Shanlin Liu, Yang Zhang, Jingxuan Li, and Hailong Bai. "Measurement of the aerosol absorption coefficient with the nonequilibrium process." In Fourth Seminar on Novel Optoelectronic Detection Technology and Application, edited by Weiqi Jin and Ye Li. SPIE, 2018. http://dx.doi.org/10.1117/12.2314983.

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Hossam-E-Haider, Mohammed, Asif Al Faisal, Nazmul Rahim, and Md Saiduzzaman. "Performance comparison of constant coefficient and variable coefficient tracking filters in radar detection." In 2013 16th International Conference on Computer and Information Technology (ICCIT). IEEE, 2014. http://dx.doi.org/10.1109/iccitechn.2014.6997379.

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Khailo, Nikita S., and Aleksey G. Vostretsov. "Asymptotic Robustness Coefficient for Signal Detection Algorithms." In 2018 XIV International Scientific-Technical Conference on Actual Problems of Electronics Instrument Engineering (APEIE). IEEE, 2018. http://dx.doi.org/10.1109/apeie.2018.8545734.

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Arun, Aditya, C. V. Jawahar, and M. Pawan Kumar. "Dissimilarity Coefficient Based Weakly Supervised Object Detection." In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2019. http://dx.doi.org/10.1109/cvpr.2019.00966.

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Li, Fusheng, Xia Li, Wenbin Zou, and Yu Chen. "Visual saliency detection by DCT coefficient dissimilarity." In 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems (MFI). IEEE, 2014. http://dx.doi.org/10.1109/mfi.2014.6997677.

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Peterson, Heidi A., Albert J. Ahumada, Jr., and Andrew B. Watson. "Improved detection model for DCT coefficient quantization." In IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, edited by Jan P. Allebach and Bernice E. Rogowitz. SPIE, 1993. http://dx.doi.org/10.1117/12.152693.

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zhu, minghan, and zheng Jeffrey. "Binomial coefficient compared to standard normal distribution effect of fluctuations." In Seventh Symposium on Novel Photoelectronic Detection Technology and Application 2020, edited by Junhao Chu, Qifeng Yu, Huilin Jiang, and Junhong Su. SPIE, 2021. http://dx.doi.org/10.1117/12.2588550.

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