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International Conference on Network Protocols

作者： Jiaqi Zheng Hong Xu Guihai Chen Haipeng Dai Department of Computer Science City University of Hong Kong Hong Kong State Key Laboratory for Novel Software Technology Nanjing University Nanjing China

ISBN: (纸本)9781467382960

To maximize data center network utilization, the SDN control plane needs to frequently update the data plane as the network conditions change. Since each switch updates its flow table independently and asynchronously, the state transition -- if done directly from the initial to the final stage -- may result in serious flash congestion and packet loss. Prior work strives to find a congestion-free update plan with multiple stages, each with the property that there will be no congestion independent of the update order. Yet congestion-free update requires part of the link capacity to be left vacant and decreases utilization of the expensive network infrastructure. Further, it involves solving a series of LP, which is slow and does not scale well. In this paper, we study the more general problem of minimizing transient congestion during network update, given the number of intermediate stages. This exposes the tradeoff between update speed and transient congestion, and allows an operator to navigate a broader design space for performing network update. We formulate the minimum congestion update problem (MCUP) as an optimization program and prove its hardness. We propose an approximation algorithm and a greedy improvement algorithm to find the update sequence in an efficient and scalable manner. Extensive experiments with Mininet show that our solution reduces update time by 50% and saves control overhead by 30% compared to state of the art.

关键词： Transient analysis Switches Routing Approximation algorithms Wide area networks Algorithm design and analysis Optimization

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A Revisit of a Theoretical Analysis on Spectrum-Based Fault Localization

A Revisit of a Theoretical Analysis on Spectrum-Based Fault ...

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IEEE Annual International computer software and Applications Conference (COMPSAC)

作者： Tsong Yueh Chen Xiaoyuan Xie Fei-Ching Kuo Baowen Xu Department of Computer Science and Software Engineering Swinburne University of Technology Victoria Australia State Key Lab of Software Engineering Wuhan University Wuhan China Department of Computer Science and Technology Nanjing University Nanjing China

As a promising automatic fault localization technique, Spectrum-Based Fault Localization (SBFL) has been proposed and widely studied for years, in which the effectiveness of risk evaluation formula is one of the most popular research topics. We have developed a framework to support the theoretical analysis of risk evaluation formulas, via subset relations. In this paper, we would like to further justify the assumptions used in our framework, which are not only to make the theoretical analysis be feasible, but they are actually required either explicitly or implicitly by SBFL.

关键词： Noise Testing software Debugging Conferences software engineering computer science

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Text detection in born-digital images by mass estimation

Text detection in born-digital images by mass estimation

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Asian Conference on Pattern Recognition (ACPR)

作者： Jiamin Xu Palaiahnakote Shivakumara Tong Lu Chew Lim Tan Michael Blumenstein National Key Lab for Novel Software Technology Nanjing University Nanjing China Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia School of Computing National University of Singapore Griffith University Gold Coast Queensland Australia

ISBN: (纸本)9781479961016

There is a need for effective web-document understanding due to the explosive progress of internet and network technologies. In this paper, we propose a new method for text detection in born-digital images by introducing a mass estimation concept. We propose to explore super-pixel information of different color channels to identify text atoms in images. The proposed method uses similarity graphs and spectral clustering to identify candidate text regions. We propose a new idea of mapping Gabor responses of a candidate text region to a spatial circle to study the spatial coherency of pixels. We introduce a mass estimation concept to identify text candidates from the pixel distribution in a spatial circle. The linear linkage graphs help in grouping text candidates to obtain full text lines. The same Gabor responses are used as features to eliminate false positives with an SVM classifier. We evaluate the proposed method for the testing on standard datasets, such as ICDAR 2013 (challenge-1) and the Situ et al. dataset. Experimental results on both the datasets show that the proposed method outperforms the existing methods.

关键词： Estimation Decision support systems Image color analysis Text recognition Robustness Explosives

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Efficient Computing Composite Service Skyline with QoS Correlations

Efficient Computing Composite Service Skyline with QoS Corre...

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IEEE International Conference on Services Computing (SCC)

作者： Yu Du Hao Hu Wei Song Junhua Ding Jian Lü Nanjing University Nanjing Jiangsu CN School of Computer Science and Engineering Nanjing University of Science and Technology China Department of Computer Science East Carolina University USA State Key Laboratory for Novel Software Technology Nanjing University China

In the service-oriented architecture, component services can be composed to provide value-added services. The notion of composite service skyline facilitates obtaining a QoS-optimal service combination. State-of-the-art approach to computing composite service skyline assumes that candidate services of different tasks are independent. However, real-word services are usually QoS-correlated. To this end, we present a novel approach to computing the composite service skyline in the presence of QoS correlations. Advanced pruning techniques are proposed to accelerate our approach. We conduct extensive experiments to evaluate the effectiveness and efficiency of our approach.

关键词： Correlation Quality of service Web services Explosions Lattices Optimization Time complexity

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MDC-based robust stereo video coding using ICP

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Journal of Information Hiding and Multimedia Signal Processing 2015年第4期6卷 648-654页

作者： Meng, Li Li Zhang, Hua Xiang Department of Information Science and Engineering Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Shandong Normal University No.88 Wenhua East Road Jinan250014 China

In this paper, a robust stereo video coding based on multiple description coding (MDC) scheme is presented. In this scheme, the stereo video is divided into two descriptions, the odd frames of stereo video sequences are one description, and the even frames of stereo video sequences belong to another description. If there is an error of transmission or reconstruction for one description, the stereo video still can be reconstructed by the other description. Moreover, the interpolating compensation preprocessing (ICP) is firstly proposed to improve the coding efficiency. Plenty of experiments demonstrate that the proposed ICP is very effective. © 2015 ISSN.

关键词： Stereo image processing

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A new method based on bag of filters for character recognition in scene images by learning

A new method based on bag of filters for character recogniti...

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International Conference on Document Analysis and Recognition

作者： Qisu Li Tong Lu Palaiahnakote Shivakumara Umapada Pal Chew Lim Tan National Key Lab for Novel Software Technology Nanjing University Nanjing China Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia Computer Vision and Pattern Recognition Unit Indian Statistical Institute India School of Computing National University of Singapore Singapore

ISBN: (纸本)9781479918065

Achieving a good recognition rate for scene characters is a big challenge due to non-uniform illumination effects, perspective distortions, multiple colors or contrasts, different fonts and their various sizes, background or orientation variations, etc. Unlike the existing recognition methods that use binary information or the features extracted from different domains, the proposed method explores gray information in the form of a filter bank to extract the discriminative power for all the 62 scene character classes. We propose a sliding window (patch) operation over a character image for learning the global features, which represent the structures of character images of all the classes by reconstructing a filter bank from the original data. We introduce shareable constrains to activate class-specific filters from the filter bank. Further, we propose constraints by studying the nearest neighbor patches and exemplar selection to maximize the gap between inter-classes and minimize the gap between intra-classes. The method is evaluated and compared with several existing recognition methods in terms of character recognition rate. Experimental results show that the proposed method outperforms the existing methods.

关键词： Character recognition Image segmentation Filter banks Accuracy

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Madness: A multiresolution, adaptive numerical environment for scientific simulation

Madness: A multiresolution, adaptive numerical environment f...

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作者： Harrison, Robert J. Beylkin, Gregory Bischoff, Florian A. Calvin, Justus A. Fann, George I. Fosso-Tande, Jacob Galindo, Diego Hammond, Jeff R. Hartman-Baker, Rebecca Hill, Judith C. Jia, Jun Kottmann, Jakob S. Ou, M-J. Yvonne Pei, Junchen Ratcliff, Laura E. Reuter, Matthew G. Richie-Halford, Adam C. Romero, Nichols A. Sekino, Hideo Shelton, William A. Sundahl, Bryan E. Thornton, W. Scott Valeev, Edward F. Vázquez-Mayagoitia, Álvaro Vence, Nicholas Yanai, Takeshi Yokoi, Yukina Stony Brook University Stony BrookNY11794 United States University of Colorado at Boulder BoulderCO80309 United States Institut für Chemie Humboldt-Universität Zu Berlin Unter den Linden 6 Berlin10099 Germany Department of Chemistry Virginia Tech. BlacksburgVA24061 United States Oak Ridge National Laboratory Oak RidgeTN37831 United States Department of Chemistry and Biochemistry Florida State University TallahasseeFL32306 United States Parallel Computing Lab Intel Corporation PortlandOR97219 United States National Energy Research Scientific Computing Center Lawrence Berkeley National Laboratory BerkeleyCA94720 United States LinkedIn Mountain ViewCA94043 United States Department of Mathematical Sciences University of Delaware NewarkDE19716 United States State Key Laboratory of Nuclear Physics and Technology School of Physics Peking University Beijing100871 China Argonne Leadership Computing Facility Argonne National Laboratory ArgonneIL60439 United States Department of Physics University of Washington SeattleWA98195 United States Computer Science and Engineering Toyohashi University of Technology ToyohashiAichi441-8580 Japan Louisiana State University Baton RougeLA70803 United States Department of Physics LaSierra University RiversideCA92505 United States Theoretical and Computational Molecular Science Institute for Molecular Science OkazakiAichi444-8585 Japan

MADNESS (multiresolution adaptive numerical environment for scientific simulation) is a high-level software environment for solving integral and differential equations in many dimensions that uses adaptive and fast harmonic analysis methods with guaranteed precision that are based on multiresolution analysis and separated representations. Underpinning the numerical capabilities is a powerful petascale parallel programming environment that aims to increase both programmer productivity and code scalability. This paper describes the features and capabilities of MADNESS and briefly discusses some current applications in chemistry and several areas of physics. © 2016 Society for Industrial and Applied Mathematics.

关键词： Multiresolution analysis

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Joint rate, channel and route selection for cognitive radio ad hoc networks

Joint rate, channel and route selection for cognitive radio ...

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IEEE Conference on Wireless Communications and Networking

作者： Lijuan Ji Feilong Tang Yanqin Yang Minyi Guo School of Software Shanghai Jiao Tong University Shanghai China State Key Lab. for Novel Software Technology Nanjing University P.R. China Department of Computer Science & Technology East China Normal University Shanghai China Department of Computer Science & Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781479984077

It is a difficult but fundamental goal to fully utilize various resources to deliver data as efficiently as possible in wireless networks. In CRAHNs, it becomes more challenging due to uncertain primary users' activities, time- and location-varying channels, and arbitrary traffic arrivals with unpredictable rate demand. In this paper, we propose a Joint Rate, Channel and Route Selection (JRCRS) approach to optimize the network resource utility in multi-hop, multi-channel CRAHNs, with the objective of maximizing social welfare. Our JRCRS jointly optimizes the data transmission rate adaptive to network condition, assigns interference-free channels and selects a route when a new flow arrives or a primary user activates. The routing metric in our JRCRS considers the relay workload, the distance between the relay and the destination node, and co-channel interference to primary and secondary users. Simulation results demonstrate that our JRCRS outperforms the most related solutions in terms of social welfare, average throughput, network stability and end-to-end delay.

关键词： Manganese Joints Tin Radio frequency Routing Channel allocation Business process re-engineering

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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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Human object estimation via backscattered radio frequency signal

Human object estimation via backscattered radio frequency si...

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IEEE Annual Joint Conference: INFOCOM, IEEE computer and Communications Societies

作者： Han Ding Jinsong Han Alex X. Liu Jizhong Zhao Panlong Yang Wei Xi Zhiping Jiang School of Electronic and Information Engineering Xi'an Jiaotong University China National Key Laboratory for Novel Software Technology Nanjing University China Department of Computer Science and Engineering Michigan State University USA Institute of Communication Engineering PLA University of Science and Technology China

In this paper, we propose a system called R# to estimate the number of human objects using passive RFID tags but without attaching anything to human objects. The idea is based on our observation that the more human objects are present, the higher the variance in the RSS values of the tag backscattered RF signal. Thus, based on the received RF signal, the reader can estimate the number of human objects. R# includes an RFID reader and some (say 20) passive tags, which are deployed in the region that we want to monitor the number of human objects, such as the region in front of a painting. The RFID reader periodically emits RF signal to identify all tags and the tags simply respond with their IDs via C1G2 standard protocols. We implemented R# using commercial Impinj H47 passive RFID tags and Impinj reader model R420. We conducted experiments in a simulated picking aisle area of the supermarket environment. The experimental results show that R# can achieve high estimation accuracy (more than 90%).

关键词： RF signals Feature extraction Passive RFID tags Entropy Estimation Monitoring

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