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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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Consensus-Based Distributed Mean Square State Estimation

Consensus-Based Distributed Mean Square State Estimation

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American control Conference

作者： Carlos E. de Souza Michel Kinnaert Daniel Coutinho Department of Systems and Control Laboratorio Nacional de Computacao Cientifica - LNCC/MCTI Av. Getulio Vargas 333 Petropolis RJ 25651-075 Brazil Department of Control Engineering and System Analysis Universite Libre de Bruxelles (ULB) Brussels 1050 Belgium Department of Automation and Systems Universidade Federal de Santa Catarina PO Box 476 Florianopolis SC 88040-900 Brazil

ISBN: (纸本)9781479917730

This paper addresses the design of a distributed steady state filter for a sensor network. In the considered scenario, an estimate of the full system state is determined at each network node. The filter structure includes both measurement update terms from neighboring nodes, and a consensus term on the state estimates. The computation of the filter gains is recast as a convex optimization problem. Convergence of the estimation error variance is ensured at each network node and a guaranteed performance in the mean square sense is achieved. Extension of the method to linear parameter-varying systems yields a gain scheduled distributed filter.

关键词： network node mean square Filters linear parameter varying system Sensor networks Distribute State estimation Error measure measurement update

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Distributed Sensor Fault Detection and Isolation over Network

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IFAC Proceedings Volumes 2014年第3期47卷 11458-11463页

作者： Michel Kinnaert Jingjing Hao Department of Control Engineering and System Analysis Université libre de Bruxelles (ULB)

Consensus and diffusion based observers have been developed to address distributed state estimation over a sensor network. In this paper, the way sensor faults affect the state estimation of such distributed state observers is investigated. Next, a methodology to design a distributed system for sensor fault detection and isolation (FDI) is proposed. The aim is to achieve a specified fault detection (FD) performance while limiting the complexity of the algorithm at each node of the sensor network. To this end, proper selection of the measurements used for FDI at each node is performed thanks to a fault distinguishability measure based on the Kullback-Leibler divergence.

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Association between GWAS-identified lung adenocarcinoma susceptibility loci and EGFR mutations in never-smoking Asian women, and comparison with findings from Western populations

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Human molecular genetics 2017年第2期26卷 454-465页

作者： Wei Jie Seow Keitaro Matsuo Chao Agnes Hsiung Kouya Shiraishi Minsun Song Hee Nam Kim Maria Pik Wong Yun-Chul Hong H Dean Hosgood Zhaoming Wang I-Shou Chang Jiu-Cun Wang Nilanjan Chatterjee Margaret Tucker Hu Wei Tetsuya Mitsudomi Wei Zheng Jin Hee Kim Baosen Zhou Neil E Caporaso Demetrius Albanes Min-Ho Shin Lap Ping Chung She-Juan An Ping Wang Hong Zheng Yasushi Yatabe Xu-Chao Zhang Young Tae Kim Xiao-Ou Shu Young-Chul Kim Bryan A Bassig Jiang Chang James Chung Man Ho Bu-Tian Ji Michiaki Kubo Yataro Daigo Hidemi Ito Yukihide Momozawa Kyota Ashikawa Yoichiro Kamatani Takayuki Honda Hiromi Sakamoto Hideo Kunitoh Koji Tsuta Shun-Ichi Watanabe Hiroshi Nokihara Yohei Miyagi Haruhiko Nakayama Shingo Matsumoto Masahiro Tsuboi Koichi Goto Zhihua Yin Jianxin Shi Atsushi Takahashi Akiteru Goto Yoshihiro Minamiya Kimihiro Shimizu Kazumi Tanaka Tangchun Wu Fusheng Wei Jason Y Y Wong Fumihiko Matsuda Jian Su Yeul Hong Kim In-Jae Oh Fengju Song Victor Ho Fun Lee Wu-Chou Su Yuh-Min Chen Gee-Chen Chang Kuan-Yu Chen Ming-Shyan Huang Pan-Chyr Yang Hsien-Chih Lin Yong-Bing Xiang Adeline Seow Jae Yong Park Sun-Seog Kweon Chien-Jen Chen Haixin Li Yu-Tang Gao Chen Wu Biyun Qian Daru Lu Jianjun Liu Hyo-Sung Jeon Chin-Fu Hsiao Jae Sook Sung Ying-Huang Tsai Yoo Jin Jung Huan Guo Zhibin Hu Wen-Chang Wang Charles C Chung Charles Lawrence Laurie Burdett Meredith Yeager Kevin B Jacobs Amy Hutchinson Sonja I Berndt Xingzhou He Wei Wu Junwen Wang Yuqing Li Jin Eun Choi Kyong Hwa Park Sook Whan Sung Li Liu Chang Hyun Kang Lingmin Hu Chung-Hsing Chen Tsung-Ying Yang Jun Xu Peng Guan Wen Tan Chih-Liang Wang Alan Dart Loon Sihoe Ying Chen Yi Young Choi Jen-Yu Hung Jun Suk Kim Ho-Il Yoon Qiuyin Cai Chien-Chung Lin In Kyu Park Ping Xu Jing Dong Christopher Kim Qincheng He Reury-Perng Perng Chih-Yi Chen Roel Vermeulen Junjie Wu Wei-Yen Lim Kun-Chieh Chen John K C Chan Minjie Chu Yao-Jen Li Jihua Li Hongyan Chen Chong-Jen Yu Li Jin Yen-Li Lo Ying-Hsiang Chen Joseph F Fraumeni Jie Liu Taiki Yamaji Yang Yang Belynda Hicks Kathleen Wyatt Shengchao A Li Division of Cancer Epidemiology and Genetics National Cancer Institute Bethesda MD USA. Saw Swee Hock School of Public Health National University of Singapore and National University Health System Singapore. Division of Molecular Medicine Aichi Cancer Center Research Institute Nagoya Japan. Institute of Population Health Sciences National Health Research Institutes Zhunan Taiwan. Division of Genome Biology National Cancer Center Research Institute Tokyo Japan. Department of Statistics Sookmyung Women's University Seoul Republic of Korea. Department of Preventive Medicine Chonnam National University Medical School Gwangju Republic of Korea. Department of Pathology The University of Hong Kong Queen Mary Hospital Hong Kong. Department of Preventive Medicine Seoul National University College of Medicine Seoul Republic of Korea. Department of Epidemiology and Population Health Albert Einstein College of Medicine Bronx NY USA. Department of Computational Biology St. Jude Children's Research Hospital Memphis TN 38105 USA. National Institute of Cancer Research National Health Research Institutes Zhunan Taiwan. Ministry of Education Key Laboratory of Contemporary Anthropology School of Life Sciences Fudan University Shanghai People's Republic of China. State Key Laboratory of Genetic Engineering School of Life Sciences Fudan University Shanghai People's Republic of China. Division of Thoracic Surgery Kinki University School of Medicine Sayama Japan. Division of Epidemiology Department of Medicine Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center Nashville TN USA. Department of Integrative Bioscience & Biotechnology Sejong University Seoul Republic of Korea. Department of Epidemiology School of Public Health China Medical University Shenyang People's Republic of China. Guangdong Lung Cancer Institute Medical Research Center and Cancer Center of Guangdong General Hospital Guangdong Academy of Medical Sciences Guangzhou People's Republic

To evaluate associations by EGFR mutation status for lung adenocarcinoma risk among never-smoking Asian women, we conducted a meta-analysis of 11 loci previously identified in genome-wide association studies (GWAS). Genotyping in an additional 10,780 never-smoking cases and 10,938 never-smoking controls from Asia confirmed associations with eight known single nucleotide polymorphisms (SNPs). Two new signals were observed at genome-wide significance (P < 5 × 10-8), namely, rs7216064 (17q24.3, BPTF), for overall lung adenocarcinoma risk, and rs3817963 (6p21.3, BTNL2) which is specific to cases with EGFR mutations. In further sub-analyses by EGFR status, rs9387478 (ROS1/DCBLD1) and rs2179920 (HLA-DPB1) showed stronger estimated associations in EGFR-positive compared to EGFR-negative cases. Comparison of the overall associations with published results in Western populations revealed that the majority of these findings were distinct, underscoring the importance of distinct contributing factors for smoking and non-smoking lung cancer. Our results extend the catalogue of regions associated with lung adenocarcinoma in non-smoking Asian women and highlight the importance of how the germline could inform risk for specific tumour mutation patterns, which could have important translational implications.

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Identification and quantification of hazards caused by uncontained engine rotor failure 9

Identification and quantification of hazards caused by uncon...

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2014 9th International Symposium on Safety Science and Technology, ISSST 2014

作者： Li, Mailiang Sun, Zhiqiang Gong, Erling System Analysis Institute Air Force Armament Research Academy Beijing100076 China Department of Automatic Control College of Mechatronic Engineering and Automation National University of Defense Technology Changsha410073 China

ISBN: (纸本)9781634396882

One approach based on AC20-128A is presented in order to assess the risk caused by uncontained engine rotor failure (UERF). In this approach, the risk assessment procedure includes hazard identification and hazard quantification. In the step of hazard identification, the catastrophic functional hazards, derived from the functional hazard analysis (FHA) results for the airplane, are used as the top events to construct the fault trees. The minimal cut sets (MSCs) of the fault trees are the hazards to be identified exactly. In the step of hazard quantification, the probability of one hazard triggered by some uncontained debris is evaluated. After the probabilities of all the identified hazards are quantified, the risk assessment of the airplane is completed. And the assessment result is compared with the design specifications to show compliance with the safety design. A small example is introduced to illustrate the rationality and accuracy of the aforementioned method. © 2014 The Authors. Published by Elsevier Ltd.

关键词： Risk assessment

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Disturbance-observer-based user force estimation for bilateral teleoperated needle insertion

Disturbance-observer-based user force estimation for bilater...

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IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： Jerome Janssens Laurent Catoire Serge Torfs Michel Kinnaert Control Engineering and System Analysis Department Universite Libre de Bruxelles (ULB) Bruxelles Belgium

ISBN: (纸本)9781479957378

The work reported in this paper is part of a project aiming at designing a teleoperated tool to perform a needle insertion task through an endoscope. The focus is on the design of the master interface. The proposed mechanical design ensures that the gesture performed by the operator is as close as possible to the original clinical gesture. As this design does not allow for an easy measurement of the interaction force with the operator, a software sensor is used to estimate this force from an encoder measurement. It relies on a disturbance observer (DOB), for which a systematic design approach is presented. The DOB requires the velocity of the one dof master device as input. A comparative study between four possible approaches is performed in order to determine the most appropriate method to estimate this velocity. A method relying directly on the encoder pulses appears to surpass the classical velocity estimators.

关键词： Force Observers Approximation methods Friction Kalman filters Endoscopes

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Optimal LQ-type switched control design for a class of linear systems with piecewise constant inputs 19

Optimal LQ-type switched control design for a class of linea...

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Azhmyakov, Vadim Basin, Michael Reincke-Collon, Carsten Department of Electronic and Biomedical Engineering University of Antonio Narino Neiva Colombia Department of Physical and Mathematical Sciences University of Nuevo Leon San Nicolas de los Garza Mexico System Analysis and Control Engineering Group Younicos AG Am Studio 16 BerlinD-12489 Germany

ISBN: (纸本)9783902823625

This paper is devoted to a specific LQ-type optimal control problem (OCP) in the presence of additional control constraints. We consider control processes governed by linear differential equations with a priori known control switchings. The piecewise constant structure of the admissible controls under consideration is motivated by variety of concrete engineering applications and moreover, can be interpreted as a result of a quantization procedure applied to the original dynamics. We propose an new implementable numeric algorithm that makes it possible to calculate a consistent approximating solution to the initial constrained LQ-type OCPs. The contribution discusses some theoretic aspects of the obtained computational scheme and also contains a numerical example. © IFAC.

关键词： Numerical methods

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Statistical Validation of Automatic Methods for Hippocampus Segmentation in MR Images of Epileptic Patients

Statistical Validation of Automatic Methods for Hippocampus ...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Mohammad-Parsa Hosseini Mohammad R. Nazem-Zadeh Dario Pompili Hamid Soltanian-Zadeh Department of Electrical and Computer Engineering Rutgers University Medical Image Analysis Lab Radiology Department Henry Ford Health System Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran

ISBN: (纸本)9781424479276

Hippocampus segmentation is a key step in the evaluation of mesial Temporal Lobe Epilepsy (mTLE) by MR images. Several automated segmentation methods have been introduced for medical image segmentation. Because of multiple edges, missing boundaries, and shape changing along its longitudinal axis, manual outlining still remains the bench-mark for hippocampus segmentation, which however, is impractical for large datasets due to time constraints. In this study, four automatic methods, namely FreeSurfer, Hammer, Automatic Brain Structure Segmentation (ABSS), and LocalInfo segmentation, are evaluated to find the most accurate and applicable method that resembles the bench-mark of hippocampus. Results from these four methods are compared against those obtained using manual segmentation for T1-weighted images of 157 symptomatic mTLE patients. For performance evaluation of automatic segmentation, Dice coefficient, Hausdorff distance, Precision, and Root Mean Square (RMS) distance are extracted and compared. Among these four automated methods, ABSS generates the most accurate results and the reproducibility is more similar to expert manual outlining by statistical validation. By considering p-value<0.05, the results of performance measurement for ABSS reveal that, Dice is 4%, 13%, and 17% higher, Hausdorff is 23%, 87%, and 70% lower, precision is 5%, -5%, and 12% higher, and RMS is 19%, 62%, and 65% lower compared to LocalInfo, FreeSurfer, and Hammer, respectively.

关键词： Segmentation Hippocampus Magnetic Resonance Imaging (MRI) Comparison Epilepsy

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Optimal LQ-Type Switched control Design for a Class of Linear systems with Piecewise Constant Inputs

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IFAC Proceedings Volumes 2014年第3期47卷 6976-6981页

作者： Vadim Azhmyakov Michael Basin Carsten Reincke-Collon Department of Electronic and Biomedical Engineering University of Antonio Narino Neiva Colombia Department of Physical and Mathematical Sciences University of Nuevo Leon San Nicolas de los Garza Mexico System Analysis and Control Engineering Group Younicos AG Am Studio 16 D-12489 Berlin Germany

关键词： switched linear systems piecewise constant controls specific LQ-type optimal control design numerical methods

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Support Vector Machine with Nonlinear-Kernel Optimization for Lateralization of Epileptogenic Hippocampus in MR Images

Support Vector Machine with Nonlinear-Kernel Optimization fo...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Mohammad-Parsa Hosseini Mohammad R. Nazem-Zadeh Fariborz Mahmoudi Hao Ying Hamid Soltanian-Zadeh Medical Image Analysis Lab. Radiology Department Henry Ford Health System Department of Electrical and Computer Engineering Wayne State University Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran

ISBN: (纸本)9781424479276

Surgical treatment is suggested for seizure control in medically intractable epilepsy patients. Detailed pre-surgical evaluation and lateralization using Magnetic Resonance Images (MRI) is expected to result in a successful surgical outcome. In this study, an optimized pattern recognition approach is proposed for lateralization of mesial Temporal Lobe Epilepsy (mTLE) patients using asymmetry of imaging indices of hippocampus. T1-weighted and Fluid-Attenuated Inversion Recovery (FLAIR) images of 76 symptomatic mTLE patients are considered. First, hippocampus is segmented using automatic and manual segmentation methods;then, volumetric and intensity features are extracted from the MR images. A nonlinear Support Vector Machine (SVM) with optimized Gaussian Radial Basis Function (GRBF) kernel is used to classify the imaging features. Using leave-one-out cross validation, this method results in a correct lateralization rate of 82%, a probability of detection for the left side of 0.90 (with false alarm probability of 0.04) and a probability of detection for the right side of 0.69 (with zero false alarm probability). The lateralization results are compared to linear SVM, multi-layer perceptron Artificial Neural Network (ANN), and volumetry and FLAIR asymmetry analysis. This lateralization method is suggested for pre-surgical evaluation using MRI before surgical treatment in mTLE patients. It achieves a more correct lateralization rate and fewer false positives.

关键词： Magnetic Resonance Imaging (MRI) Hippocampus Epilepsy Lateralization Support Vector Machine (SVM)

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