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Directional relation reasoning based on boundary sensitive model in three-dimensional space

Journal of Computational Information Systems 2015年第17期11卷 6345-6354页

作者： Kong, Dehan Liu, Yongshan Ma, Junlei Wang, Yuzheng Han, Ameng Department of Information Science and Engineering Yanshan University Qinhuangdao China The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Yanshan University Qinhuangdao China Data Industry Research Lab Qinhuangdao China Telecommunications Engineering with Management Beijing University of Posts and Telecommunications Beijing China Information Technology Office of Yanshan University Qinhuangdao China

In three-dimension space, with the minimum bounding rectangular (MBR) of any type of object's projections in xoy and xoz planes, there are four possible types of projection: minimum bounding rectangular, horizontal line, vertical line and point, then a boundary sensitive directional relationship matrix model (BSDRM) is proposed, the model can unified representation direction relations between objects of the four different types of projection, further, the three dimensional direction relation is inferred by combining the two direction matrixes in plane xoy and plane xoz. Based on this model, single direction relation reasoning table and multi direction relation reasoning method are proposed. Finally, direction relation reasoning arithmetic is given and proved to be true. © 2015, by Binary Information Press

关键词： Boundary Sensitive Combinative Reasoning Table Directional Relationship Matrix Model Relationship Reasoning Three-dimension Directional

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Dense matter with eXTP

arXiv

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arXiv 2018年

作者： Watts, Anna L. Yu, Wenfei Poutanen, Juri Zhang, Shu Bhattacharyya, Sudip Bogdanov, Slavko Ji, Long Patruno, Alessandro Riley, Thomas E. Bakala, Pavel Baykal, Altan Bernardini, Federico Bombaci, Ignazio Brown, Edward Cavecchi, Yuri Chakrabarty, Deepto Chenevez, Jérôme Degenaar, Nathalie Santo, Melania Del Salvo, Tiziana Di Doroshenko, Victor Falanga, Maurizio Ferdman, Robert D. Feroci, Marco Gambino, Angelo F. Ge, MingYu Greif, Svenja K. Guillot, Sebastien Gungor, Can Hartmann, Dieter H. Hebeler, Kai Heger, Alexander Homan, Jeroen Iaria, Rosario in’t Zand, Jean Kargaltsev, Oleg Kurkela, Aleksi Lai, Xiaoyu Li, Ang Li, XiangDong Li, Zhaosheng Linares, Manuel Lu, FangJun Mahmoodifar, Simin Méndez, Mariano Miller, M. Coleman Morsink, Sharon Nättilä, Joonas Possenti, Andrea Prescod-Weinstein, Chanda Qu, JinLu Riggio, Alessandro Salmi, Tuomo Sanna, Andrea Santangelo, Andrea Schatz, Hendrik Schwenk, Achim Song, LiMing Šrámková, Eva Stappers, Benjamin Stiele, Holger Strohmayer, Tod Tews, Ingo Tolos, Laura Török, Gabriel Tsang, David Urbanec, Martin Vacchi, Andrea Xu, RenXin Xu, Ypeng Zane, Silvia Zhang, Guobao Zhang, ShuangNan Zhang, Wenda Zheng, ShiJie Zhou, Xia Anton Pannekoek Institute for Astronomy University of Amsterdam Science Park 904 Amsterdam1098 XH Netherlands Shanghai Astronomical Observatory Shanghai200030 China Tuorla Observatory Department of Physics and Astronomy University of Turku Väisäläntie 20 PiikkiöFIN-21500 Finland Nordita KTH Royal Institute of Technology Stockholm University Roslagstullsbacken 23 StockholmSE-10691 Sweden Institute of High Energy Physics CAS Beijing100049 China Tata Institute of Fundamental Research Mumbai400005 India Columbia Astrophysics Laboratory Columbia University 550 West 120th Street New YorkNY10027 United States Institut für Astronomie und Astrophysik Tübingen Universität Tübingen Sand 1 TübingenD-72076 Germany Leiden Observatory Leiden University PO Box 9513 Leiden2300 RA Netherlands Research Center for Computational Physics and Data Processing Silesian University in Opava Bezrucovo nam. 13 OpavaCZ-74601 Czech Republic Physics Department Middle East Technical University Ankara06531 Turkey INAF Osservatorio Astronomico di Roma Via Frascati 33 Monteporzio CatoneI-00078 Italy New York University Abu Dhabi PO Box 129188 Abu Dhabi United Arab Emirates Dipartimento di Fisica Enrico Fermi University of Pisa PisaI-56127 Italy INFN Italian National Institute for Nuclear Physics Pisa Section Pisa56127 Italy Department of Physics and Astronomy Michigan State University East LansingMI48824 United States Department of Astrophysical Sciences Princeton University Peyton Hall PrincetonNJ08544 United States Mathematical Sciences and STAG Research Centre University of Southampton SouthamptonSO17 1BJ United Kingdom MIT Kavli Institute for Astrophysics and Space Research CambridgeMA02139 United States DTU Space Technical University of Denmark Elektrovej 327-328 Kgs Lyngby2800 Denmark INAF/IASF Palermo via Ugo La Malfa 153 PalermoI-90146 Italy Universita degli Studi di Palermo Dipartimento di Fisica e Chimica via Archira 36 Palermo90123 Italy

In this White Paper we present the potential of the Enhanced X-ray Timing and Polarimetry (eXTP) mission for determining the nature of dense matter;neutron star cores host an extreme density regime which cannot be replicated in a terrestrial laboratory. The tightest statistical constraints on the dense matter equation of state will come from pulse profile modelling of accretion-powered pulsars, burst oscillation sources, and rotation-powered pulsars. Additional constraints will derive from spin measurements, burst spectra, and properties of the accretion flows in the vicinity of the neutron star. Under development by an international Consortium led by the Institute of High Energy Physics of the Chinese Academy of science, the eXTP mission is expected to be launched in the mid 2020s. Copyright © 2018, The Authors. All rights reserved.

关键词： Pulsars

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ReCBuLC: Reproducing Concurrency Bugs Using Local Clocks 15

ReCBuLC: Reproducing Concurrency Bugs Using Local Clocks

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International Conference on Software Engineering (ICSE)

作者： Xiang Yuan Chenggang Wu Zhenjiang Wang Jianjun Li Pen-Chung Yew Jeff Huang Xiaobing Feng Yanyan Lan Yunji Chen Yong Guan University of Chinese Academy of Sciences Beijing China State Key Laboratory of Computer Architecture Chinese Academy of Sciences Beijing China Department of Computer Science and Engineering University of Minnesota at Twin-Cities Minneapolis USA Department of Computer Science and Engineering Texas A&M University Texas USA CAS Key Laboratory of Network Data Science and Technology Chinese Academy of Sciences Beijing China College of Information Engineering Capital Normal University Beijing China

ISBN: (纸本)9781479919345

Multi-threaded programs play an increasingly important role in current multi-core environments. Exposing concurrency bugs and debugging such multi-threaded programs have become quite challenging due to their inherent non-determinism. In order to eliminate such non-determinism, many approaches such as record-and-replay and other similar bug reproducing systems have been proposed. However, those approaches often suffer significant performance degradation because they require a large amount of recorded information and/or long analysis and replay time. In this paper, we propose an effective approach, ReCBuLC, to take advantage of the hardware clocks available on modern processors. The key idea is to reduce the recording overhead and analyzing events' global order by using time stamps recorded in each thread. Those timestamps are used to determine the global orders of shared accesses. To avoid the large overhead incurred in accessing system-wide global clock, we opt to use local per-core clocks that incur much less access overhead. We then propose techniques to resolve differences among local clocks and obtain an accurate global event order. By using per-core clocks, state-of-the-art bug reproducing systems such as PRES and CLAP can reduce the recording overheads by 1% ~ 85%, and the analysis time by 84.66% ~ 99.99%, respectively.

关键词： Clocks Program processors Computer bugs Hardware Coherence Concurrent computing Debugging

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

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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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Outage analysis of OFDM full Duplex relaying systems

Outage analysis of OFDM full Duplex relaying systems

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International Conference on Wireless Communications and Signal Processing (WCSP)

作者： Songqing Wang Wendong Yang Wei Xu Jinling Hospital Nanjing University School of Medicine Nanjing China College of Communications Engineering PLA University of Science and Technology Nanjing China Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications). Ministry of Education Nanijing China PLA 95269 Troop Guangzhou China

ISBN: (纸本)9781467376884

This paper focuses on decode-and-forward (DF) OFDM full duplex relaying (FDR) systems with multiple relays, where residual loop interference is taken into account. Closed-form and high-SNR approximate expressions for the outage probability are derived. Simulations are carried out to validate the derived outage performance and compare the performance of OFDM FDR with that of OFDM half duplex relaying (HDR) systems.

关键词： OFDM Relays Interference Approximation methods Signal to noise ratio Wireless communication Broadband communication

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Effect of computational delay on the convergence property of digital optical burst-mode receivers with parallel and pipelined design

Effect of computational delay on the convergence property of...

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Asia Communications and Photonics Conference, ACPC 2014

作者： Liu, Xinyu Xu, Bo Wu, Chenyu Key lab of optical fiber sensing and communication network Ministry of Education University of Electronic Science and Technology of China Chengdu611731 China

Parallel digital signal processing (DSP) with pipelined structure is proposed for 112 Gb/s optical burst-mode receiver (BMR). The effect of computational delay on the convergence speed of the equalizer and the overall... 详细信息

ISBN: (纸本)9781557528520

关键词： Digital signal processing

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DBPD: A dynamic birthmark-based software plagiarism detection tool 26

DBPD: A dynamic birthmark-based software plagiarism detectio...

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26th International Conference on Software Engineering and Knowledge Engineering, SEKE 2014

作者： Tian, Zhenzhou Zheng, Qinghua Fan, Ming Zhuang, Eryue Wang, Haijun Liu, Ting Ministry of Education Key Lab For Intelligent Networks and Network Security Department of Computer Science and Technology Xi'an Jiaotong University Xi'an China

With the burst of open source software, software plagiarism has been a serious threat to the software industry. In this paper, we present the demo tool DBPD: Dynamic Birthmark-based Software Plagiarism Detection. Major features of DBPD could be summarized as: 1) dynamic birthmark. The execution process of software is captured to generate the birthmark reflecting intrinsic properties of software;2) high availability. It is available for crossplatform and binary executable's plagiarism detection;3) customizable. The birthmarks, similarity calculation metrics and detection criteria are configurable. The DBPD is implemented using C++ and Java, and currently can work under both Windows and Linux system. Three dynamic birthmarks are implemented in DBPD to identify the software according to its instruction, stack operation and system call. Copyright © 2014 by Knowledge Systems Institute Graduate School.

关键词： Dynamic birthmark Software plagiarism detection

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Rail Inspection Meets Big data: Methods and Trends

Rail Inspection Meets Big Data: Methods and Trends

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International Conference on network-Based Information Systems (NBIS)

作者： Qingyong Li Zhangdui Zhong Zhengping Liang Yong Liang Beijing Key Lab of Transportation Data Analysis and Mining Beijing Jiaotong University Beijing China College of Computer Science and Software Engineering Shenzhen University Communication & Power Utilization Technology Subcompany State Grid Electric Power Research Institute State Grid Beijing China

Rail inspection is one of the most important tasks for rail industry, in order to guarantee the safety of railway systems and control their cost. Rail are systematically inspected for defects using various non-destructive evaluation (NDE) techniques, which include ultrasonic inspection, visual detection, magnetic flux leakage method, acoustic emission inspection etc. The data obtained by these NDE devices are going to increase in both quality and quantity, therefore big data has emerged as a potential challenge for rail inspection. This paper reviews the advanced NDE techniques for rail inspection, and brings forward a new framework of rail inspection based on big data, according to the characteristics of inspection data.

关键词： Rails Inspection Acoustics Surface cracks Visualization Surface treatment Big data

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Security enhancement of virtual optical imaging system by chaos

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Journal of Computational Information Systems 2014年第7期10卷 3089-3101页

作者： Zhu, Wei Yang, Geng Chen, Lei Chen, Zhengyu College of Science Nanjing University of Posts and Telecommunications Nanjing 210003 China Key Lab. of Broadband Wireless Communications and Sensor Network Technology of Ministry of Education Nanjing University of Posts and Telecommunications Nanjing 210003 China

A novel image encryption algorithm based on virtual optical imaging system (VOI) is proposed in this paper. By introducing of chaos system to generate the random mask, the difficulty of key transmission and the insensitivity of ciphertext to random mask in VOI are solved. In addition, by correlating keys with plaintext, the cipher image becomes sensitive to plaintext. Numerical experiments are simulated on both gray level images and binary images to verify the effectiveness of the algorithm. Security analysis shows that the proposed algorithm is effective on resisting statistical attacks, brute-force attacks, known plaintext and chosen plaintext attacks. The experimental results demonstrate that in the suggested system the security strength is enhanced. © 2014 Binary Information Press.

关键词： Binary images

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Angle historgam model of directional relationship in 3D based on Double-projection and Rounded-subdivision

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Journal of Information and Computational science 2014年第18期11卷 6471-6478页

作者： Kong, Dehan Liu, Yongshan Ma, Junlei Department of Information Science and Engineering Yanshan University Qinhuangdao China The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Yanshan University Qinhuangdao China Data Industry Research Lab Qinhuangdao China

The formal model of spatial directional relations is one of the most important parts in spatial relation research. The most of models are based on Minimum Bounding Rectangle (MBR), and they are not compliant with the regular pattern of human cognition. In order to get a closer conclusion to human cognition on directional relationship, Angle Histogram model based on Double-projection and Rounded-subdivision (AHDPRS) is proposed in this paper. The model uses the maximum inscribed circles to find out the maximum parts of the object, and calculates the directional relationship between the centers of the circles. This model ignores the inessential details to ensure the result which will be closer to human cognition. The experiments show that this model is feasible.

关键词： Graphic methods

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