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Using optical remote sensing model to estimate oil slick thickness based on satellite image

IOP Conference Series: Earth and Environmental Science 2014年第1期17卷

作者： Y C Lu W X Fu Q J Tian C G Lyu W C Han Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology Nanjing University Nanjing 210093 China International Institute for Earth System Science Nanjing University Nanjing 210093 China Center for earth observation and digital earth CAS Haidian district Beijing 100094 China Petrochina Pipeline R&D Center Langfang 065000 China

An optical remote sensing model has been established based on two-beam interference theory to estimate marine oil slick thickness. Extinction coefficient and normalized reflectance of oil are two important parts in this model. Extinction coefficient is an important inherent optical property and will not vary with the background reflectance changed. Normalized reflectance can be used to eliminate the background differences between in situ measured spectra and remotely sensing image. Therefore, marine oil slick thickness and area can be estimated and mapped based on optical remotely sensing image and extinction coefficient.

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The development and validation of a Thin Layer Chromatography densitometry method for the analysis of diclofenac sodium tablets

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International Journal of Chemical and Analytical Science 2013年第2期4卷 73-79页

作者： Eliangiringa Kaale Bugusu C. Nyamweru Vicky Manyanga Mhina Chambuso Thomas Layloff Pharm R&D Laboratory School of Pharmacy Muhimbili University of Health and Allied Sciences Po Box 650113 Dar es Salaam Tanzania Institut für Pharmazie und Lebensmittelchemie 97074 Würzburg Germany Quality Assurance Unit Supply Chain Management System Arlington VA 22209-3100 USA

Aims diclofenac sodium is a Nonsteroidal Anti-Inflammatory drug (NSAId) with anti-inflammatory, antipyretic, and analgesic action as a result of the blockade of prostaglandin synthesis by inhibition of the cyclooxygenase enzyme. Analysis of the active pharmaceutical ingredient as well as finished pharmaceutical product is of vital importance to help ensure that good quality products are manufactured and supplied to the patient end users. The aim of the study was to develop a simple and rapid method to enable timely release of products. Methods The method was developed using a mobile phase prepared with environment-friendly analytical grade solvents: toluene, acetone and glacial acetic acid (10:15:0.2 v/v/v). diclofenac sodium reference material and samples were chromatographed using pre-coated TLC silica gel 60 F 254 glass plates with a saturation time of 25 minutes and a densitometer detection wavelength of 284 nm in the reflectance absorbance mode. detection and part of analysis was done using densitometer TLC Scanner 3 operated with Wincats (version 1.4.3) planar chromatograph software. results A Thin Layer Chromatography (TLC) method for the qualitative and quantitative analysis of diclofenac sodium tablets was developed and validated according to ICH and USP guidelines. The r f of diclofenac sodium was at 0.60 and the method was repeatable, robust with good selectivity and specificity. regression functions were established over the range of 250–600 ng/spot with r 2 of 0.993 and 0.999 for the linear and polynomial regressions respectively. The accuracy at nominal concentration was found to be 100.2%, and the results of the assay of three brands for diclofenac sodium tablets were found to meet the USP 95–105% assay limits thus demonstrating the usefulness of the method for the assay of these products. The developed assay method for diclofenac sodium in tablets is simple, accurate, and inexpensive, with good precision and should be especially useful in resource co

关键词： Thin Layer Chromatography diclofenac sodium Validation

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Emotional speaker verification with linear adaptation

Emotional speaker verification with linear adaptation

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IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)

作者： Fanhu Bie dong Wang Thomas Fang Zheng ruxin Chen Center for Speech and Language Technologies Division of Technical Innovation and Development Tsinghua National Laboratory for Information Science and Technology Center for Speech and Language Technologies Research Institute of Information Technology Tsinghua University China R&D Sony Computer Entertainment America Foster City CA USA

Speaker verification suffers from significant performance degradation on emotional speech. We present an adaptation approach based on maximum likelihood linear regression (MLLr) and its feature-space variant, CMLLr. Our preliminary experiments demonstrate that this approach leads to considerable performance improvement, particularly with CMLLr (about 10% relative EEr reduction in average). We also find that the performance gain can be significantly increased with a large set of training data for the transform estimation.

关键词： Speech Transforms Hidden Markov models Adaptation models Vectors Training Acoustics

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31st Annual Meeting and Associated Programs of the Society for Immunotherapy of Cancer (SITC 2016): part one: National Harbor, Md, USA. 9-13 November 2016

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J Immunother Cancer 2016年第SUPPL 1期4卷 1-1页

作者： Andreas Lundqvist Vincent van Hoef Xiaonan Zhang Erik Wennerberg Julie Lorent Kristina Witt Laia Masvidal Sanz Shuo Liang Shannon Murray Ola Larsson rolf Kiessling Yumeng Mao John-William Sidhom Catherine A. Bessell Jonathan Havel Jonathan Schneck Timothy A. Chan Eliot Sachsenmeier david Woods Anders Berglund rupal ramakrishnan Andressa Sodre Jeffrey Weber roberta Zappasodi Yanyun Li Jingjing Qi Philip Wong Cynthia Sirard Michael Postow Walter Newman Henry Koon Vamsidhar Velcheti Margaret K. Callahan Jedd d. Wolchok Taha Merghoub Lawrence G. Lum Minsig Choi Archana Thakur Abhinav deol Gregory dyson Anthony Shields Cara Haymaker Marc Uemura ravi Murthy Marihella James daqing Wang Julie Brevard Catherine Monaghan Suzanne Swann James Geib Mark Cornfeld Srinivas Chunduru Sudhir Agrawal Cassian Yee Jennifer Wargo Sapna P. Patel rodabe Amaria Hussein Tawbi Isabella Glitza Scott Woodman Wen-Jen Hwu Michael A. davies Patrick Hwu Willem W. Overwijk Chantale Bernatchez Adi diab Erminia Massarelli Neil H. Segal Vincent ribrag Ignacio Melero Tara C. Gangadhar Walter Urba dirk Schadendorf robert L. Ferris roch Houot Franck Morschhauser Theodore Logan Jason J. Luke William Sharfman Fabrice Barlesi Patrick A. Ott Laura Mansi Shivaani Kummar Gilles Salles Cecilia Carpio roland Meier Suba Krishnan dan Mcdonald Matthew Maurer Xuemin Gu Jaclyn Neely Satyendra Suryawanshi ronald Levy Nikhil Khushalani Jennifer Wu Jinyu Zhang Fahmin Basher Mark rubinstein Mark Bucsek Guanxi Qiao Cameron Macdonald Bonnie Hylander Elizabeth repasky Shilpak Chatterjee Anusara daenthanasanmak Paramita Chakraborty Kyle Toth Megan Meek Elizabeth Garrett-Mayer Michael Nishimura Chrystal Paulos Craig Beeson Xuezhong Yu Shikhar Mehrotra Fei Zhao Kathy Evans Christine Xiao Alisha Holtzhausen Brent A. Hanks Nicole Scharping Ashley V. Menk rebecca Moreci ryan Whetstone rebekah dadey Simon Watkins robert Ferris Greg M. delgoffe Jonathan Peled Sean devlin Anna Staffas Melissa Lumish Kori Porosnicu rodriguez Katya Ahr Miguel Perales Sergio Giralt Ying Taur Eric Pam Karolinska Institutet Stockholm Stockholms Lan Sweden Weill Cornell Medical College New York NY USA Nova Southeastern University Cell Therapy Institute Fort Lauderdale FL USA Johns Hopkins University School of Medicine Baltimore MD USA Immunology Program Johns Hopkins University School of Medicine Columbia MD USA Memorial Sloan Kettering Cancer Center New York NY USA Johns Hopkins Medical Institute Baltimore MD USA University of Rochester Monrovia MD USA NYU Langone Medical Center New York NY USA H. Lee Moffitt Cancer Center Tampa FL USA Ludwig Collaborative Laboratory Memorial Sloan Kettering Cancer Center New York NY USA Immune Monitoring Core Facility Memorial Sloan Kettering Cancer Center New York NY USA Leap Therapeutics Cambridge MA USA Department of Medicine Memorial Sloan Kettering Cancer Center New York NY USA Case Western Reserve University Cleveland OH USA Cleveland Clinic Main Campus Cleveland OH USA University of Virginia Cancer Center Charlottesville VA USA Stony Brook University Medical Center Stony Brook NY USA Karmanos Cancer Institute Detroit MI USA University of Texas MD Anderson Cancer Center Houston TX USA Idera Pharmaceuticals Inc. Cambridge MA USA Institut Gustave Roussy Villejuif Ile-de-France France Center for Applied Medical Research (CIMA) University of Navarra Pamplona Navarra Spain University of Pennsylvania Philadelphia PA USA Earle A. Chiles Research Institute Providence Cancer Center Portland OR USA Universitätsklinikum Essen Essen Nordrhein-Westfalen Germany University of Pittsburgh Pittsburgh PA USA CHU Rennes Service Hématologie Clinique and INSERM 0203 Unité d’Investigation Clinique Rennes Bretagne France Centre Hospitalier Régional Universitaire de Lille Lille Nord-Pas-de-Calais France Simon Cancer Center Indiana University Indianapolis IN USA University of Chicago School of Medicine Chicago IL USA Johns Hopkins University School of Medicine Lutherville MD USA Multidisciplinary Oncology and Therapeuti

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Human genome meeting 2016 : Houston, TX, USA. 28 February - 2 March 2016

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Human genomics 2016年第1期10 Suppl 1卷 12页

作者： A. K. Srivastava Y. Wang r. Huang C. Skinner T. Thompson L. Pollard T. Wood F. Luo r. Stevenson r. Polimanti J. Gelernter X. Lin I. Y. Lim Y. Wu A. L. Teh L. Chen I. M. Aris S. E. Soh M. T. Tint J. L. MacIsaac F. Yap K. Kwek S. M. Saw M. S. Kobor M. J. Meaney K. M. Godfrey Y. S. Chong J. d. Holbrook Y. S. Lee P. d. Gluckman N. Karnani A. Kapoor d. Lee A. Chakravarti C. Maercker F. Graf M. Boutros G. Stamoulis F. Santoni P. Makrythanasis A. Letourneau M. Guipponi N. Panousis M. Garieri P. ribaux E. Falconnet C. Borel S. E. Antonarakis S. Kumar J. Curran J. Blangero S. Chatterjee J. Akiyama d. Auer C. Berrios L. Pennacchio T. r. donti G. Cappuccio M. Miller P. Atwal A. Kennedy A. Cardon C. Bacino L. Emrick J. Hertecant F. Baumer B. Porter M. Bainbridge P. Bonnen B. Graham r. Sutton Q. Sun S. Elsea Z. Hu P. Wang Y. Zhu J. Zhao M. Xiong david A. Bennett A. Hidalgo-Miranda S. romero-Cordoba S. rodriguez-Cuevas r. rebollar-Vega E. Tagliabue M. Iorio E. d’Ippolito S. Baroni B. Kaczkowski Y. Tanaka H. Kawaji A. Sandelin r. Andersson M. Itoh T. Lassmann Y. Hayashizaki P. Carninci A. r. r. Forrest C. A. Semple E. A. rosenthal B. Shirts L. Amendola C. Gallego M. Horike-Pyne A. Burt P. robertson P. Beyers C. Nefcy d. Veenstra F. Hisama r. Bennett M. dorschner d. Nickerson J. Smith K. Patterson d. Crosslin r. Nassir N. Zubair T. Harrison U. Peters G. Jarvik F. Menghi K. Inaki X. Woo P. Kumar K. Grzeda A. Malhotra H. Kim d. Ucar P. Shreckengast K. Karuturi J. Keck J. Chuang E. T. Liu B. Ji A. Tyler G. Ananda G. Carter H. Nikbakht M. Montagne M. Zeinieh A. Harutyunyan M. Mcconechy N. Jabado P. Lavigne J. Majewski J. B. Goldstein M. Overman G. Varadhachary r. Shroff r. Wolff M. Javle A. Futreal d. Fogelman L. Bravo W. Fajardo H. Gomez C. Castaneda C. rolfo J. A. Pinto K. C. Akdemir L. Chin S. Patterson C. Statz S. Mockus S. N. Nikolaev X. I. Bonilla L. Parmentier B. King F. Bezrukov G. Kaya V. Zoete V. Seplyarskiy H. Sharpe T. McKee K. Popadin N. Basset-Seguin r. Ben Chaabene M. Andrianova C. Verdan K. Grosdemange O. Sumara M. E JCSRI Greenwood Genetic Center Greenwood USA School of Computing Clemson University Clemson USA Biochemical Genetics Laboratory Greenwood Genetic Center Greenwood USA Department Psychiatry Yale Sch Med and VA CT Healthcare Center West Haven USA Department Genetics Yale Sch Med and VA CT Healthcare Center West Haven USA Department Neurobiology Yale Sch Med and VA CT Healthcare Center West Haven USA Singapore Institute for Clinical Sciences Singapore Singapore National University of Singapore Singapore Singapore University of British Columbia Vancouver Canada KK Women’s and Children’s Hospital Singapore Singapore University of Southampton and University Hospital Southampton NHS Foundation Trust Southampton UK University of Auckland Auckland New Zealand McKusick-Nathans Institute of Genetic Medicine Johns Hopkins University School of Medicine Baltimore USA Esslingen University of Applied Sciences Esslingen Germany German Cancer Research Center Heidelberg Germany Department of Genetic Medicine and Development University of Geneva Medical School Geneva Switzerland Geneva University Hospitals-HUG Service of Genetic Medicine Geneva Switzerland GE3 Institute of Genetics and Genomics of Geneva University of Geneva Medical School Geneva Switzerland South Texas Diabetes and Obesity Institute School of Medicine University of Texas Rio-Grande Valley Edinburg USA South Texas Diabetes and Obesity Institute School of Medicine University of Texas Rio-Grande Valley Brownsville USA Institute of Genetic Medicine Johns Hopkins University Baltimore USA Genomics Division Lawrence Berkeley National Laboratory Berkeley USA Molecular and Human Genetics Baylor College of Medicine Houston USA Department of Translational Medical Sciences Federico II University Naples Italy Metabolon Inc Durham USA Section of Pediatric Neurology and Neuroscience Baylor College of Medicine Houston USA Tawam Hospital Abu Dhabi United Arab Emirates Stanford Medical School Stanford USA Sch

O1 The metabolomics approach to autism: identification of biomarkers for early detection of autism spectrum disorder A. K. Srivastava, Y. Wang, r. Huang, C. Skinner, T. Thompson, L. Pollard, T. Wood, F. Luo, r. Stevenson O2 Phenome-wide association study for smoking- and drinking-associated genes in 26,394 American women with African, Asian, European, and Hispanic descents r. Polimanti, J. Gelernter O3 Effects of prenatal environment, genotype and dNA methylation on birth weight and subsequent postnatal outcomes: findings from GUSTO, an Asian birth cohort X. Lin, I. Y. Lim, Y. Wu, A. L. Teh, L. Chen, I. M. Aris, S. E. Soh, M. T. Tint, J. L. MacIsaac, F. Yap, K. Kwek, S. M. Saw, M. S. Kobor, M. J. Meaney, K. M. Godfrey, Y. S. Chong, J. d. Holbrook, Y. S. Lee, P. d. Gluckman, N. Karnani, GUSTO study group O4 High-throughput identification of specific qt interval modulating enhancers at the SCN5A locus A. Kapoor, d. Lee, A. Chakravarti O5 Identification of extracellular matrix components inducing cancer cell migration in the supernatant of cultivated mesenchymal stem cells C. Maercker, F. Graf, M. Boutros O6 Single cell allele specific expression (ASE) IN T21 and common trisomies: a novel approach to understand dOWN syndrome and other aneuploidies G. Stamoulis, F. Santoni, P. Makrythanasis, A. Letourneau, M. Guipponi, N. Panousis, M. Garieri, P. ribaux, E. Falconnet, C. Borel, S. E. Antonarakis O7 role of microrNA in LCL to IPSC reprogramming S. Kumar, J. Curran, J. Blangero O8 Multiple enhancer variants disrupt gene regulatory network in Hirschsprung disease S. Chatterjee, A. Kapoor, J. Akiyama, d. Auer, C. Berrios, L. Pennacchio, A. Chakravarti O9 Metabolomic profiling for the diagnosis of neurometabolic disorders T. r. donti, G. Cappuccio, M. Miller, P. Atwal, A. Kennedy, A. Cardon, C. Bacino, L. Emrick, J. Hertecant, F. Baumer, B. Porter, M. Bainbridge, P. Bonnen, B. Graham, r. Sutton, Q. Sun, S. Elsea O10 A novel causal methylation network approach to Alzheimer’s

关键词： Pulmonary Arterial Hypertension Oral Squamous Cell Carcinoma deep Neural Network Autosomal recessive Polycystic Kidney disease Whole Genome Bisulfite Sequencing

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Software structure evaluation based on the interaction and encapsulation of methods

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Science China(Information Sciences) 2012年第12期55卷 2816-2825页

作者： ZHENG QingHua 1,2,OU ZhiJiang 1,2,LIU Ting 1,YANG ZiJiang 3,HOU YuQiao 1,2 & ZHENG Chao 1,2 1 MOE Key laboratory for Intelligent Networks and Network Security,Xi'an Jiaotong University,Xian 710049,China 2 Shaanxi Key laboratory of Satellite-terrestrial Network Technology r&d,Xi'an Jiaotong University,Xian 710049,China 3 department of computer Science,Western Michigan University,Michigan,USA 1. MOE Key Laboratory for Intelligent Networks and Network Security Xi’an Jiaotong University Xian 710049 China2. Shaanxi Key Laboratory of Satellite-terrestrial Network Technology R&D Xi’an Jiaotong University Xian 710049 China3. Department of Computer Science Western Michigan University Michigan USA

Software structure is the most important factor affecting the quality of a *** evaluation of software structure is a foundational technique for software ***,the traditional evaluation criteria,such as "high cohesion and low coupling",are no longer appropriate for the new web applications,which are designed with a hierarchical framework.A novel approach is proposed in this paper to evaluate software quality based on the interaction and encapsulation of *** particular,two criteria for high quality software,the functional and hierarchical structure,are proposed to support widely used web *** cohesion and coupling and layer matching ratios between methods within a software package are calculated to determine whether the package is well implemented in terms of functional or hierarchical *** approach enables us to quantify the quality of a software system according to the structural types of its *** were carried out on 18 versions of Struts and six open-source software *** evaluation concurs with the intuition that minor upgrades,aimed at fixing bugs and adding minor functionality quickly,reduce software quality,whereas major upgrades,which normally clean up messy code and re-construct the software,improve software quality.

关键词： software structure evaluation method interaction method encapsulation functional structure hierarchical structure

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Scientific rationale for Saturn's in situ exploration

Scientific rationale for Saturn's in situ exploration

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作者： Mousis, O. Fletcher, L.N. Lebreton, J.-P. Wurz, P. Cavalié, T. Coustenis, A. Courtin, r. Gautier, d. Helled, r. Irwin, P.G.J. Morse, A.d. Nettelmann, N. Marty, B. rousselot, P. Venot, O. Atkinson, d.H. Waite, J.H. reh, K.r. Simon, A.A. Atreya, S. André, N. Blanc, M. daglis, I.A. Fischer, G. Geppert, W.d. Guillot, T. Hedman, M.M. Hueso, r. Lellouch, E. Lunine, J.I. Murray, C.d. O'donoghue, J. rengel, M. Sánchez-Lavega, A. Schmider, F.-X. Spiga, A. Spilker, T. Petit, J.-M. Tiscareno, M.S. Ali-dib, M. Altwegg, K. Bolton, S.J. Bouquet, A. Briois, C. Fouchet, T. Guerlet, S. Kostiuk, T. Lebleu, d. Moreno, r. Orton, G.S. Poncy, J. Université de Franche-Comté Institut UTINAM CNRS/INSU France Department of Physics University of Oxford Clarendon Laboratory Parks Road OxfordOX1 3PU United Kingdom LPC2E CNRS-Université d'Orléans 3a Avenue de la Recherche Scientifique Orléans Cedex 245071 France LESIA UPMC Univ. Paris-Diderot 5 place Jules Janssen Meudon cedexF-92195 France Space Science and Planetology Physics Institute University of Bern Sidlerstrasse 5 Bern3012 Switzerland Max-Planck-Institut für Sonnensystemforschung Justus-von-Liebig-Weg 3 Göttingen37077 Germany Department of Geophysics Atmospheric and Planetary Sciences Tel-Aviv University Tel-Aviv Israel Planetary and Space Sciences Department of Physics Open University Milton KeynesMK7 6AA United Kingdom Institute for Physics University of Rostock Rostock18051 Germany CRPG-CNRS Nancy-Université 15 rue Notre Dame des Pauvres Vandoeuvre-ls-Nancy54501 France Instituut voor Sterrenkunde Katholieke Universiteit Leuven Celestijnenlaan 200D Leuven3001 Belgium Department of Electrical and Computer Engineering University of Idaho MoscowID83844-1023 United States 6220 Culebra Road San AntonioTX78228 United States Jet Propulsion Laboratory California Institute of Technology 4800 Oak Grove Drive PasadenaCA91109 United States NASA Goddard Space Flight Center Code 690 GreenbeltMD20771 United States Department of Atmospheric Oceanic and Space Sciences University of Michigan Ann ArborMI48109-2143 United States 9 avenue du Colonel Roche Toulouse Cedex 431028 France University of Athens Department of Physics Panepistimioupoli Zografou Athens15784 Greece Space Research Institute Austrian Academy of Sciences Schmiedlstrasse 6 GrazA-8042 Austria Stockholm University Astrobiology Centre Department of Physics Stockholm University/Stockholms Universitet Roslagstullbacken 21 StockholmS-10691 Sweden Observatoire de la Côte d'Azur Laboratoire Lagrange BP 4229 Nice cedex 406304 France Department of Physics U

remote sensing observations meet some limitations when used to study the bulk atmospheric composition of the giant planets of our solar system. A remarkable example of the superiority of in situ probe measurements is illustrated by the exploration of Jupiter, where key measurements such as the determination of the noble gases' abundances and the precise measurement of the helium mixing ratio have only been made available through in situ measurements by the Galileo probe. This paper describes the main scientific goals to be addressed by the future in situ exploration of Saturn placing the Galileo probe exploration of Jupiter in a broader context and before the future probe exploration of the more remote ice giants. In situ exploration of Saturn's atmosphere addresses two broad themes that are discussed throughout this paper: first, the formation history of our solar system and second, the processes at play in planetary atmospheres. In this context, we detail the reasons why measurements of Saturn's bulk elemental and isotopic composition would place important constraints on the volatile reservoirs in the protosolar nebula. We also show that the in situ measurement of CO (or any other disequilibrium species that is depleted by reaction with water) in Saturn's upper troposphere may help constraining its bulk O/H ratio. We compare predictions of Jupiter and Saturn's bulk compositions from different formation scenarios, and highlight the key measurements required to distinguish competing theories to shed light on giant planet formation as a common process in planetary systems with potential applications to most extrasolar systems. In situ measurements of Saturn's stratospheric and tropospheric dynamics, chemistry and cloud-forming processes will provide access to phenomena unreachable to remote sensing studies. different mission architectures are envisaged, which would benefit from strong international collaborations, all based on an entry probe that would descend throug

关键词： Probes

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design and Implementation of ZTE Object Storage system

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ZTE Communications 2012年第4期10卷 60-64页

作者： Huabin ruan Xiaomeng Huang Yang Zhou Department of Computer Science and Technology Tsinghua University Center of Earth System Science Tsinghua University Communication Services R&D Institute ZTE Corporation

This paper introduces the basic concepts and features of an obiect storage system. It also introduces some related standards, specifications, and implementations for several existing systems. ZTE＇ s Object Storage system （ZTE OSS） was designed by Tsinghua University and ZTE Corporation and is designed to manage large amounts of data. ZTE OSS has a scalable architecture, some open source components, and an efficient key-value database. ZTE OSS is easy to scale and highly reliable. Experiments show that ZTE OSS performs well with mass data and heavy

关键词： cloud storage object storage

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3-Layer fault tolerance strategy in 6×6 hybrid electric vehicle which has independent steering and in-wheel drives

3-Layer fault tolerance strategy in 6×6 hybrid electric veh...

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IEEE Symposium on Intelligent Vehicle

作者： Heeseo Chae Jaewon Na Ji Tae Hong dae Ok Lee Defense Program R&D center Samsung Techwin Gyeonggi-do Korea Vehicle Dynamics & Control Laboratory Seoul National University Seoul Korea Ground System R&D Institute Agency for Defense Development Daejeon Korea

The hierarchy design to overcome the vehicle's fault will be introduced. It is consists of three layers such as physical, presentation, and application layer. Fault detection and physical redundant mechanism is the main issue of the physical layer. Creating fault code and finding out the maximum fault level among multiple fault codes are important activities in the presentation layer. The driving method by remaining motors and emergency stop are vehicle level's action based on vehicle dynamic algorithm and control sequence of the application layer. After explaining each layer's role and activities in detail, the result of the experiments are shown to verify its completeness and superiority.

关键词： Vehicles Actuators Fault tolerant systems Wheels redundancy Physical layer

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Packaging Techniques for Compact SiC Power Modules Operable in An Extended Tj range

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ECS Meeting Abstracts 2013年第25期MA2013-02卷

作者： Satoshi Tanimoto Kinuyo Watanabe Hidekazu Tanisawa Kohei Matsui Shinji Sato EV System Laboratory NRC Nissan Motor Co. Ltd. Research Center FUPET c/o AIST Tsukuba Ibaraki 305-8568 Japan Adv. Tech. Develop. Div Sanken Electric Co. Ltd. Corporate R&D Headquarters Fuji Electric Co.

Abstract not Available.

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