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International Journal of Multimedia and Ubiquitous engineering 2016年第7期11卷 1-12页

作者： Wang, Baowei Yan, Jingzhou Li, Tao Sun, Xingming Ma, Li School of Computer and Software Nanjing University of Information Science & Technology Nanjing210044 China Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science & Technology Nanjing210044 China Key Laboratory of Meteorological Disaster of Ministry of Education Nanjing University of Information Science & Technology Nanjing210044 China

Among existing watermarking methods for data integrity protection in wireless sensor networks (WSNs), the problem of packet loss has not been considered. Most of methods treat packet loss as anomaly attacks, hardly being used in real network. The paper proposes a packet loss tolerated method for data integrity protection in wireless sensor networks based on double-level watermarking and threshold control. sensory data collected by nodes generate digital watermarking for integrity detection. Watermarking will be stored in sensory data. The network will have watermarking verification and packet loss rate analysis in the sink to ensure data integrity. Through the experiment in real sensor network, this method can effectively protect data integrity with low power. © 2016 SERSC.

关键词： Wireless sensor networks

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A Novel Two-Stage PCA Algorithm for Object Tracking

A Novel Two-Stage PCA Algorithm for Object Tracking

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2016 International Conference on Communications, Information Management and network Security (CIMNS2016)

作者： Yuanyuan Yang Dong Hu Education Ministry's Key Lab of Broadband Wireless Communication and Sensor Network Technology Education Ministry's Engineering Research Center of Ubiquitous Network and Heath Service Jiangsu Province's Key Lab of Image Procession and Image Communications Nanjing University of Posts and Telecommunications

ISBN: (纸本)9781510830981

In this paper, we propose a two-stage PCA algorithm to deal with the problem of target appearance changes in object tracking. Our method is based on particle filter framework and aims at building up a robust appearance model for the target. In the first-stage, PCA is applied on several templates collected before tracking to construct a low dimensional subspace for the targets. Correspondingly, in the later tracking, all particles will be projected into this subspace to calculate the weight of particles, as well as the location of the target by weighted sum of particles. In the second-stage, PCA is adopted to decompose the reconstruction error into orthogonal basis to find the basis with biggest variance which can best present the appearance changes. Correspondingly, we uses this basis to update the old subspace. Besides, a threshold is set to decide when to update which greatly reduce the numbers of update. The two stages work together to establish a robust appearance model making our tracking algorithm more robust. Experimental results on public video sequence demonstrate the effectiveness of our proposed algorithm.

关键词： particle filter two-stage PCA eigenspace reconstruction error

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Effective Scheme for Global Abnormal Event Detection for Surveillance Video

Effective Scheme for Global Abnormal Event Detection for Sur...

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2016 International Conference on Communications, Information Management and network Security (CIMNS2016)

作者： Fangxu Dong Dong Hu Education Ministry's Key Lab of Broadband Wireless Communication and Sensor Network Technology Education Ministry's Engineering Research Center of Ubiquitous Network and Heath Service Jiangsu Province's Key Lab of Image Processing and Image Communications Nanjing University of Posts and Telecommunications

ISBN: (纸本)9781510830981

An effective algorithm for global abnormal detection from surveillance video is proposed in this paper. The algorithm is based on sparse representation. To deal with the illumination change in video scenes, specific feature extract methods are designed for corresponding illumination conditions. In the case of non-uniform illumination, features are extracted directly on the original image;in the case of uniform illumination, features are extracted on the binary image obtained by threshold segmentation on the difference image, where the thresholds are computed by the Otsu's method. The features extracted on normal video are used to learn an over-complete dictionary. Then, the sparse reconstruction cost over the dictionary is used to detect abnormal events. Experiments on the open global abnormal dataset and the comparison to the state-of-the-art methods validate effectiveness and quickness of our algorithm.

关键词： abnormal detection illumination change binary images sparse reconstruction cost

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A FEM Model for Interactive Simulation of Guide Wire Navigation in Moving Vascular Structures

A FEM Model for Interactive Simulation of Guide Wire Navigat...

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International Conference on Intelligent System Design and engineering Application (ISDEA)

作者： Zhang Qiukui Pascal Haigron Jiangsu Technology & Engineering Center of Meteorological Sensor Network Nanjing University of Information Science and Technology Nanjing Jiangsu China LTSI University of Rennes 1 Rennes France

In this paper a FEM model is proposed to simulate the guide wire navigation procedure in moving vascular structures. The virtual instruments are discretized with the multi-body representation, while the moving vascular structures are represented by a sequence of binary volumes segmented from the patient's data sets. The corresponding potential fields can be obtained by applying distance transform to the dynamic volumes. The collision and interaction between instruments and the moving vascular structures can be efficiently simulated with the potential fields and the FEM model, which drastically reduce the complexity of computation and makes interactive simulation possible. Comparing with mesh-based methods, the approach is both efficient and robust. Experimental results show the approach significantly improves the performance of simulation, especially in the circumstance of guide wire navigation in moving vessels.

关键词： Wires Instruments Navigation Solid modeling Computational modeling Force Torque

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Auditing Protocols for Cloud Storage: A Survey

Auditing Protocols for Cloud Storage: A Survey

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International Conference on Computational Intelligence Theory, Systems and Applications (CCITSA)

作者： Jun Shen Sai Ji Jian Shen Zhangjie Fu Jin Wang School of Computer & Software Nanjing University of Information Science & Technology China Jiangsu Technology &Engineering Center of Meteorological Sensor Network Naniing University of Information Science & Technologgy China

So far, cloud storage has been accepted by an increasing number of people, which is not a fresh notion any more. It brings cloud users a lot of conveniences, such as the relief of local storage and location independent access. Nevertheless, the correctness and completeness as well as the privacy of outsourced data are what worry could users. As a result, most people are unwilling to store data in the cloud, in case that the sensitive information concerning something important is disclosed. Only when people feel worry-free, can they accept cloud storage more easily. Certainly, many experts have taken this problem into consideration, and tried to solve it. In this paper, we survey the solutions to the problems concerning auditing in cloud computing and give a comparison of them. The methods and performances as well as the pros and cons are discussed for the state-of-the-art auditing protocols.

关键词： Cloud computing Protocols Data models Computational modeling Security Information science Scalability

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A class of asymptotic solution for the time delay wind field model of an ocean

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Chinese Physics B 2014年第4期23卷 83-90页

作者：周先春石兰芳莫嘉琪 College of Electronic and Information Engineering Nanjing University of Information Science and Technology (NUIST) Jiangsu Technology and Engineering Center for Meteorological Sensor Network Nanjing University of Information Science and Technology (NUIST) Jiangsu Key Laboratory of Meteorological Observation and Information Processing Nanjing University of Information Science and Technology (NUIST) College of Mathematics and Statistics Nanjing University of Information Science and Technology (NUIST)

A time delay model of a two-layer barotropic ocean with Rayleigh dissipation is built. Using the improved perturba- tion method, an analytic asymptotic solution of a better approximate degree is obtained in the mid-la... 详细信息

关键词： two-layers barotropic time delay model asymptotic method

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An enhanced grouping proof for multiple rfid readers and tag groups

International Journal of Control and Automation

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International Journal of Control and Automation 2014年第12期7卷 239-246页

作者： Shen, Jian Tan, Haowen Wang, Yang Ji, Sai Wang, Jin Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing China Jiangsu Technology and Engineering Center of Meteorological Sensor Network Nanjing University of Information Science and Technology Nanjing China School of Computer and Software Nanjing University of Information Science and Technology Nanjing China

RFID authentication on large numbers of tags or tag groups has attracted many researchers' attention as an extension of initial one-or-two-tags scenarios. Due to demands of RFID application in supply chain, various proofs are proposed in the purpose of solving existing problems of grouping tags identification. However, it is proved that verifiers in these proofs are not aware of abnormal relating devices instantly, which may cause both security and technical risks and lie heavy upon identification of the problematic tags and readers. In this paper, we propose an enhanced grouping proof for multiple RFID readers and tag groups, according to which the verifier is able to cope with multiple readers and tag groups simultaneously and know the detailed status of the problematic tags. In addition, privacy protection is provided by offering mutual authentication between the readers and tags. Moreover, it is hard for the malicious tags to pass the verification in the proposed proof. © 2014 SERSC.

关键词： Supply chains

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Homotopic mapping solitary traveling wave solutions for the disturbed BKK mechanism physical model

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Chinese Physics B 2014年第9期23卷 54-59页

作者：周先春石兰芳韩祥临莫嘉琪 College of Electronic and Information Engineering Nanjing University of Information Science and Technology Jiangsu Technology and Engineering Center for Meteorological Sensor Network Nanjing University of Information Science and Technology Jiangsu Key Laboratory of Meteorological Observation and Information Processing Nanjing University of Information Science and Technology College of Mathematics and Statistics Nanjing University of information Science and Technology Department of Mathematics Huzhou Teachers College Department of Mathematics Anhui Normal University

Using the trial equation method, a Broer-Kau-Kupershmidt （BKK） mechanism physical model is obtained, and the exact and approximate solitary traveling wave solutions are found. As an example, it is pointed out that t... 详细信息

关键词： nonlinear solitary traveling wave

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Nanofabrication: Programmable Bidirectional Folding of Metallic Thin Films for 3D Chiral Optical Antennas (Adv. Mater. 19/2017)

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Advanced Materials 2017年第19期29卷

作者： Yifei Mao Yun Zheng Can Li Lin Guo Yini Pan Rui Zhu Jun Xu Weihua Zhang Wengang Wu National Key Laboratory of Science and Technology on Micro/Nano Fabrication Institute of Microelectronics Peking University Beijing 100871 P. R. China College of Engineering and Applied Sciences National Laboratory of Solid State Microstructures and Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing Jiangsu 210093 P. R. China Key Laboratory of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education College of Internet of Things Nanjing University of Posts and Telecommunications Nanjing Jiangsu 210096 P. R. China Electron Microscopy Laboratory Peking University Beijing 100871 P. R. China Innovation Center for MicroNanoelectronics and Integrated System Beijing 100871 P. R. China

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Short text classification algorithm based on semi-supervised learning and SVM

International Journal of Multimedia and Ubiquitous Engineeri...

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International Journal of Multimedia and Ubiquitous engineering 2015年第12期10卷 195-206页

作者： Yin, Chunyong Xiang, Jun Zhang, Hui Yin, Zhichao Wang, Jin Jiangsu Key Laboratory of Meteorological Observation and Information Processing School of Computer and Software Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing China Nanjing No.1 Middle School NanjingJiangsu China

Short text is a popular text form, which is widely used in real-time network news, short commentary, micro-blog and many other fields. With the development of the application such as QQ, mobile phone text messages and movie websites, the size of data is also becoming larger and larger. Most data is useless for us while other data is significant for us. Therefore, it is necessary for us to extract the useful short text from the big data. However, there are many problems with the short text classification, such as fewer features, irregularity and so on. To solve these problems, we should pretreat the short text set first, and then choose the significant features. This paper use semi-supervised learning method and SVM classifier to improve the traditional methods and it can classify a large number of short texts to mining the useful massage from the short text. The experimental results in this paper also show a good promotion. © 2015 SERSC.

关键词： Supervised learning

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