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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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Perceptual hash algorithm for integrity authentication of multispectral remote sensing images

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Guangxue Jingmi Gongcheng/Optics and Precision engineering 2015年 23卷 677-684页

作者： Ding, Kai-Meng Zhu, Chang-Qing Su, Shou-Bao Wang, Shao-Ping School of Networks and Tele-Communication Engineering Jinling Institute of Technology Nanjing211169 China Key Laboratory of Virtual Geographic Environment of the Ministry of Education Nanjing Normal University Nanjing210023 China Jiangsu Key Laboratory of Smart Software & Cloud Service Engineering Jinling Institute of Technology Nanjing211169 China

A perceptual hashing algorithm for multispectral remote sensing images based on the synthetical characteristics of each band content was proposed to realize the authentication of multispectral images and to locate the tamper at the concrete band. Firstly, the multispectral remote sensing image was preprocessed and the feature extraction method for each band was determined by the information richness of the band. Then, the content feature of each band was extracted by edge extraction method and Discrete Cosine Transformation (DCT). Finally, the extracted feature was constructed based on the further compressed and normalized features, and the final perceptual hash value for the multispectral remote sensing image was obtained. The authentication was realized by comparing the difference between the recomputed perceptual hash value and the original hash value. The experiments indicate that the proposed algorithm can realize content integrity authentication for multispectral remote sensing images, and can locate the tamper at the concrete band of the image, which overcomes the defects of the existing perceptual hash algorithm without considering the feature of multispectral remote sensing images, and guarantees the effective utilization of multi-spectral images. © 2015, Chinese Academy of Sciences. All right reserved.

关键词： Authentication

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Nowhere to hide: An empirical study on hidden UHF RFID tags

Nowhere to hide: An empirical study on hidden UHF RFID tags

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International Conference on Parallel and Distributed Systems (ICPADS)

作者： Rui Li Han Ding Jinsong Han Shaoping Li Xing Wang Hui Liu Jizhong Zhao Science and Technology on Information Transmission and Dissemination in Communication Networks Laboratory School of Software and Institute of Software Engineering Xidian University China School of Electronic and Information Engineering Xi'an Jiaotong University China

ISBN: (纸本)9781479976164

Radio Frequency Identification (RFID) techniques are widely used in many ubiquitous applications. The most important usage of RFID techniques is to read the tags within a reader's interrogation area such that the objects attached with those tags can be identified. In real practice, it is common that a tag is physically in the interrogation range, but cannot be read by the reader, due to the multipath effect and other interference. This phenomenon, namely the hidden tag problem, is a big challenge to achieve high identification rate. To address this problem, most prior works depend on empirical or measurement-based methods to tune the transmission power for readers. Such a case-by-case solution is impractical for generic implementation. In this paper, we theoretically and experimentally explore the reasons why hidden tag problem occurs. To alleviate its impact, we propose a unified and measurable model, PAL, to formulate this problem and its impact. Different from previous works, our solution is generic and fully compatible with existing EPC C1G2 protocol. The analysis and measurement based on our model can help to design and deploy RFID systems with high identification rate.

关键词： Radiofrequency identification Receiving antennas Directive antennas Interference Mathematical model Impedance

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25th Annual Computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts

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BMC NEUROSCIENCE 2016年第1期17卷 1-112页

作者： [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories Kyoto Japan Krembil Research Institute University Health Network Toronto Canada Department of Physiology University of Toronto Toronto Canada Department of Medicine (Neurology) University of Toronto Toronto Canada Department of Physics University of New Hampshire Durham USA Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary Department of Mathematical Sciences KAIST Daejoen Republic of Korea Department of Mathematics University of Houston Houston USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston USA Department of Biology and Biochemistry University of Houston Houston USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles USA Center for Neuroscience Korea Institute of Science and Technology Seoul South Korea Department of Neurology Albert Einstein College of Medicine Bronx USA Center for Neuroscience KIST Seoul South Korea Department of Neuroscience University of Science and Technology Daejon South Korea Systems Neuroscience Group QIMR Berghofer Medical Research Institute Herston Australia Department of Psychology Yonsei University Seoul South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong Seoul South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton USA Department of Electrical and Electronic Engineering The University of Melbourne Parkvil

A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 Modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Ni

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Adaptive BER-constraint-based power allocation for downlink MC-CDMA systems with linear MMSE receiver

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Science China(Information Sciences) 2013年第7期56卷 76-84页

作者： WANG JunBo CHEN Ming WANG JinYuan CAO Zhe TANG SuWen Key Laboratory for Information System Security of Ministry of Education School of Software Tsinghua University State Key Laboratory of Integrated Services Networks Xidian University College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics National Mobile Communications Research Laboratory Southeast University

Power allocation plays a crucial role in wireless communications. To facilitate the efficient allocation of limited transmit power, in this paper, a bit error rate (BER) constraint based power allocation scheme is proposed for the downlink of multi-carrier code division multiple access (MC-CDMA) systems with linear minimum mean square error (MMSE) receiver. According to the instantaneous path gains, the proposed scheme can determine the required minimum transmit power on each channel to meet the BER constraint. The simulation results show that the proposed scheme can consistently provide high-quality solutions with a very few iteration time, and also prove that it is efficient in reducing the transmit power while meeting BER constraint, and thereby improves the system performance.

关键词： CDMA multi-carrier transmission MMSE BER power allocation

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A meet-in-the-middle attack on the LBlock cipher

A meet-in-the-middle attack on the LBlock cipher

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2013 IEEE Conference Anthology, ANTHOLOGY 2013

作者： Wei, Yongzhuang Su, Chongmao Ma, Chunbo Department of Communication and Information Engineering Guilin University of Electronic Technology Guilin Guangxi China State Key Laboratory of Integrated Services Networks Xidian University Xi'an Shanxi China State Key Laboratory of Information Security Institute of Software Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781479916603

LBlock is a new lightweight Block cipher which was proposed by Wu and Zhang at ACNS2011. The block size of LBlock is 64 bits and its key size is 80 bits. It was reported that the cipher is very suitable for many resource constrained environments (for instance RFID and sensor networking) which usually have weak computation ability, strict power constraints, or a small storage space and so on. In this paper, the security of LBlock cipher against a meet-in-the-middle attack is examined. An 11-round distinguisher is constructed by using the structure of LBlock encryption algorithm. Moreover, it is shown that 19-round LBlock is breakable with a data complexity of 238 chosen plaintexts and a time complexity of 265 19-round LBlock encryptions. This is the first known evaluation of the LBlock cipher against a meet-in-the - middle attack. © 2013 IEEE.

关键词： Cryptography

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A meet-in-the-middle attack on the LBlock cipher

A meet-in-the-middle attack on the LBlock cipher

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IEEE Conference Anthology

作者： Yongzhuang Wei Chongmao Su Chunbo Ma State Key Laboratory of Integrated Services Networks Xidian University Xi'an Shanxi China Department of communication and Information Engineering Guilin University of Electronic Technology Guilin Guangxi China State Key Laboratory of Information Security Institute of Software Beijing China

LBlock is a new lightweight Block cipher which was proposed by Wu and Zhang at ACNS2011. The block size of LBlock is 64 bits and its key size is 80 bits. It was reported that the cipher is very suitable for many resource constrained environments (for instance RFID and sensor networking) which usually have weak computation ability, strict power constraints, or a small storage space and so on. In this paper, the security of LBlock cipher against a meet-in-the-middle attack is examined. An 11-round distinguisher is constructed by using the structure of LBlock encryption algorithm. Moreover, it is shown that 19-round LBlock is breakable with a data complexity of 2 38 chosen plaintexts and a time complexity of 2 65 19-round LBlock encryptions. This is the first known evaluation of the LBlock cipher against a meet-in-the - middle attack.

关键词： Ciphers Encryption Complexity theory Computer science Radiofrequency identification

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Ranking the importance of classes via software structural analysis

Ranking the importance of classes via software structural an...

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2011 International Conference on Future Communication, Computing, Control and Management, ICF4C 2011

作者： Ding-Wei, Li Bing, Li Peng, He Wei-Feng, Pan State Key Laboratory of Software Engineering Wuhan University Wuhan 430072 China Complex Networks Research Center Wuhan University Wuhan 430072 China School of Computer Science and Information Engineering Zhejiang Gongshan University Hangzhou 310018 China

ISBN: (纸本)9783642273100

How to identify important classes in an object-oriented system is a significant task for resources allocation and decision making. However, the work on ranking the importance of classes is scarce. This paper introduces a weighted software network model to represent the structure of object-oriented software, and based on which an indicator, IC, is defined to measure the importance of classes. By ranking the ICs of all classes we can obtain the important classes we should focus on. Manually inspection of the source code verifies the meaningfulness of the classes obtained and also validates the feasibility of our approach. © 2012 Springer-Verlag GmbH.

关键词： Complex networks

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MULTI-GRANULARITY EVOLUTION ANALYSIS OF software USING COMPLEX NETWORK THEORY

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Journal of Systems Science & Complexity 2011年第6期24卷 1068-1082页

作者： Weifeng PAN Bing LI Yutao MA Jing LIU State Key Laboratory of Software Engineering Wuhan University Wuhan 430072 China School of Computer Science and Information Engineering Zhejiang Gongshang University Hangzhou 310018 China School of Computer Wuhan University Wuhan 430072 China Complex Networks Research Center Wuhan University Wuhan 430072 China

software systems are a typical kind of man-made complex systems. Understanding their evolutions can lead to better software engineering practices. In this paper, the authors use complex network theory as a tool to analyze the evolution of object-oriented （OO） software from a multi-granularity perspective. First, a multi-granularity software networks model is proposed to represent the topological structures of a multi-version software system from three levels of granularity. Then, some parameters widely used in complex network theory are applied to characterize the software networks. By tracing the parameters＇ values in consecutive software systems, we have a better understanding about software evolution. A case study is conducted on an open source OO project, Azureus, as an example to illustrate our approach, and some underlying evolution characteristics are uncovered. These results provide a different dimension to our understanding of software evolutions and also are very useful for the design and development of OO software systems.

关键词： Complex networks multi-granularity software evolution software system.

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Comparative performance analysis of the PermaDozer protocol in diverse deployments

Comparative performance analysis of the PermaDozer protocol ...

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Conference on Local Computer networks (LCN)

作者： Matthias Keller Matthias Woehrle Roman Lim Jan Beutel Lothar Thiele Computer Engineering and Networks Laboratory ETH Zurich Zurich Switzerland Embedded Software Group Delft University of Technnology Delft Netherlands

In this paper, we present a performance analysis of the communication stack of the PermaDozer application. Our offline analysis is based on long-term performance data from three diverse real-world wireless sensor network deployments. Two of the deployments considered are located in the Swiss mountains at 3.500 meters a.s.l., the third deployment is located along a river in the Swiss midlands. Apart from climatic differences, the three deployments also vary in network size, network density, node placement, and type and quantity of RF interference. From September 2008 to May 2011 more than 99.6 million WSN packets have been collected serving as the dataset. All three deployments are based on the same software and hardware. This allows us to comparatively study the performance of the PermaDozer protocol under different deployment settings and environmental conditions. For the period between June 2010 and May 2011, our networks achieved a data yield of >; 99.5%. But, we can also clearly notice that achieving this performance requires varying effort in terms of radio duty cycle resulting in different power consumption and network lifetime.

关键词： Protocols Base stations software Hardware Temperature sensors Snow Data acquisition

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