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2015 International Conference on Advances in Management Engineering and information technology(AMEIT 2015)

作者： Y.S.Zhang J.Ma A.Q.Bao Y.Li School of Information Science and Engineering Shandong Normal University Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology School of History and Social Development Shandong Normal University

According to the students' independent selection of course and the management of courses and grades of administrators, it were designed two aspects. First of all, the analysis of the basic running principles of PHP program and use all events application programming of PHP and MyS QL specific methods to create the database and tables, to link the MyS QL database statement right into practice, implementation planning project development overall design and components, play the spirit of cooperation between modules. The function of students' online information, course selection, course information query of teachers, the final score function, the curriculum and the data management function of administrators were achieved. The problem of the three rights in access and the management of system has solved.

关键词： PHP My SQL database

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A new approach of conditions on δ2s(Φ) for s-sparse recovery

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Science China(information Sciences) 2014年第4期57卷 107-113页

作者： CEN YiGang ZHAO RuiZhen MIAO ZhenJiang CEN LiHui CUI LiHong School of Computer & Information Technology Beijing Jiaotong University School of Information Science and Engineering Central South University Key Laboratory of System Control and Information Processing Ministry of Education Department of Mathematics Beijing University of Chemical Technology

In this paper,we provide a unified expression to obtain the conditions on the restricted isometry constantδ2s(Φ).These conditions cover the important results proposed by Candes et *** each of them is a sufficient condition for sparse signal *** the noiseless case,whenδ2s(Φ)satisfies any one of these conditions,the s-sparse signal can be exactly recovered via(l1)constrained minimization.

关键词： concentration of mutilated vector in kerΦ s-largest mutilated vector restricted isometry constant δ2s(Φ) exact recovery of s-sparse signals via(l1) maximum value of single variable function

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3D garment segmentation based on semi-supervised learning method

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Journal of Fiber Bioengineering and Informatics 2015年第4期8卷 657-665页

作者： Huang, Mian Liu, Li Liu, Ruomei Fu, Xiaodong Liu, Lijun Yunnan Provincial Key Laboratory of Computer Technology Application Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming China National Engineering Research Center of Digital Life State-Province Joint Laboratory of Digital Home Interactive Applications School of Data and Computer Science Sun Yat-sen University Guangzhou China

In this paper, we propose a semi-supervised learning method to simultaneous segmentation and labeling of parts in 3D garments. The key idea in this work is to analyze 3D garments using semi-supervised learning method which can label parts in various 3D garments. We first develop an objective function based on Conditional Random Field (CRF) model to learn the prior knowledge of garment components from a set of training examples. Then, we exploit an effective training method that utilizes JointBoost classifiers based on the co-analysis for garments. And we modify the JointBoost to automatically cluster the segmented components without requiring manual parameter tuning. The purpose of our method is to relieve the manual segmentation and labeling of components in 3D garment collections. Finally, the experimental results show the performance of our proposed method is effective. © 2015 Binary information Press & Textile Bioengineering and Informatics Society December 2015.

关键词： Random processes

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A survey of major techniques of clothing in vision

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Journal of Fiber Bioengineering and Informatics 2015年第4期8卷 725-732页

作者： Huang, Dongyan Liu, Li Fu, Xiaodong Liu, Lijun Huang, Qingsong Yunnan Provincial Key Laboratory of Computer Technology Application Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming China National Engineering Research Center of Digital Life State-Province Joint Laboratory of Digital Home Interactive Applications School of Data and Computer Science Sun Yat-sen University Guangzhou China

Clothing in vision plays an important role in many applications of digital clothing, virtual fitting, fashion design and manufacturing. The research of clothing in vision is full of technical challenges, such as background detection and features extraction. In this paper, we introduce the latest remarkable works of clothing in vision area, including clothing segmentation, clothing recognition and clothing retrieval. There are many remarkable advances on the basis of the predecessors' achievements in the three fields. Firstly, we provide an overview of the techniques for clothing segmentation and clothing recognition. Then, we introduce and analyze the representative works on clothing retrieval. Finally, we forecast broader application prospect and future research work of clothing in vision. © 2015 Binary information Press & Textile Bioengineering and Informatics Society December 2015.

关键词： Textiles

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New identity-based key-encapsulation mechanism and its applications in cloud computing

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International Journal of High Performance Computing and Networking 2015年第2期8卷 124-134页

作者： Wang, Hao Zheng, Zhihua Yang, Bo School of Information Science and Engineering Shandong Normal University Jinan Shandong250014 China Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Jinan Shandong250014 China Shandong Provincial Key Laboratory of Software Engineering Jinan Shandong250101 China Department of Electronic Engineering Yantai Vocational College Yantai Shandong264670 China

Identity-based encryption (IBE) is an important primitive of identity-based cryptography. As such, it is a type of public-key encryption in which the public key of a user is some unique information about the identity of the user (e.g., a user's e-mail address). As a special form of IBE, identity-based key encapsulation mechanism (IB-KEM) can be used to create a random session key for encrypting messages. Any IB-KEM can be updated to a full IBE scheme by adding a symmetric encryption scheme with appropriate security properties. Currently, IB-KEM is a fundamental primitive of cryptography, and can be used to protect information system security, network security, cloud security, etc. In this paper, we construct a new IB-KEM in a generic levelled multilinear map setting and prove its security under multilinear decisional Diffie-Hellman assumption in the selective-ID model. Then, we make our IB-KEM translated to the GGH framework, which is proposed by Garg et al. (2013a). This framework defines an approximate version of a multilinear group family from ideal lattices. Finally, as an application of our new scheme, we introduce how to achieve secure transmission in the hierarchical architecture for cloud computing (HACC). Copyright © 2015 Inderscience Enterprises Ltd.

关键词： Cloud computing

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Design of a configurable fixed-point FFT processor

Design of a configurable fixed-point FFT processor

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IET International Radar Conference 2015

作者： Chen Yang Yi-zhuang Xie Liang Chen He Chen Yi Deng Beijing Key laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing China Department of Electrical and Computer Engineering Virginia Polytechnic Institute and State University Arlington VA USA

ISBN: (纸本)9781510822023

In this paper, we focus on the widely-used radix-2 2 Decimation-In-Frequency (DIF) Fast Fourier Transform (FFT) algorithm. A variable-length, controllable-precision FFT processor is proposed. The processor can perform 16, 64, 256 and 1024 point FFT/IFFT and provide flexible wordlength scaling modes for different FFT stages. Thus, the processor is suitable for different precision and FFT length requirements in various applications. Aiming at high throughput performance, single-path delay feedback (SDF) pipeline architecture is adopted. The design is testified on Xilinx Virtex6 xc6vcx240t FPGA. Accordingly, we make a clear comparison between the proposed design and Xilinx FFT v7.1. Our design achieves better signal-to-quantizationnoise ratio (SQNR) property and shorter pipeline latency. Meanwhile, the occupied resource is approximately the same. Moreover, SQNR performance of different FFT length and wordlength scaling modes is analysed.

关键词： FFT Configurable Fixed-point FPGA

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A novel computational approach to predict activity of nuclear export signals

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Journal of Computational and Theoretical Nanoscience 2015年第12期12卷 6016-6019页

作者： Chen, Zhihua Zhang, Pan Wu, Tingfang Shi, Xiaolong Wang, Xun Key Laboratory of Image Information Processing and Intelligent Control School of Automation Huazhong University of Science and Technology WuhanHubei430074 China College of Computer and Communication Engineering China University of Petroleum QingdaoShandong266580 China

A nuclear export signal (NES) is a sequence of amino acids, which is a protein localization signal, and contributes to regulate localization of cellular proteins. In recent peering works, activity of NESs were introduced in computational methods, which perform significantly well in identifying unknown NESs even from huge datasets, but suffer from a shortage that only a small number of NESs are associated with experimental verified active scores. In this work, we propose a novel computational method to predict active score of NESs. Specifically, we firstly abstract relevant features to NES activity, and then construct a mathematical model based on principal component analysis (PCA) to find each feature's contribution to activity. In this way, a method to calculate active score of unknown NESs is achieved. In data experiments, it is obtained that our method can achieve accuracy rate 80%. The activity of an unknown NES candidate can give us a preliminary understanding of it, and can be used to identify positive NESs from the negative ones. To the best acknowledge of the authors, this is the first time computational method is proposed to predict NESs' activity. Copyright © 2015 American Scientific Publishers All rights reserved.

关键词： Computational methods

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Fusing PLSA model and Markov random fields for automatic image annotation

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High technology Letters 2014年第4期20卷 409-414页

作者：田东平 Zhao Xiaofei Shi Zhongzhi Institute of Computer Software Baoji University of Arts and Sciences Key Laboratory of Intelligent Information Processing Institute of Computing TechnologyChinese Academy of Sciences

A novel image auto-annotation method is presented based on probabilistic latent semantic analysis(PLSA) model and multiple Markov random fields(MRF).A PLSA model with asymmetric modalities is first constructed to estimate the joint probability between images and semantic concepts,then a subgraph is extracted served as the corresponding structure of Markov random fields and inference over it is performed by the iterative conditional modes so as to capture the final annotation for the *** novelty of our method mainly lies in two aspects:exploiting PLSA to estimate the joint probability between images and semantic concepts as well as multiple MRF to further explore the semantic context among keywords for accurate image *** demonstrate the effectiveness of this approach,an experiment on the Corel5 k dataset is conducted and its results are compared favorably with the current state-of-the-art approaches.

关键词： automatic image annotation probabilistic latent semantic analysis （PLSA） expectation maximization Markov random fields （MRF） image retrieval

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An IABC based route maintaining protocol in mobile wireless sensor networks

An IABC based route maintaining protocol in mobile wireless ...

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International Conference on Communication technology (ICCT)

作者： Xiaoming Wu Yinglong Wang Yifan Hu Sbandong Provincial Key Laboratory of Computer Networks Jinan China Shandong Computer Science Center National Supercomputer Center in Jinan Jinan China College of Information Science and Engineering Shandong University of Science and Technology Qingdao China

ISBN: (纸本)9781467370066

Recent studies have shown that utilizing a mobile sink to harvest and carry data from wireless sensor network (WSN) can enhance network operations and balance the network energy consumption. Because of the sink mobility, the paths between the sensor nodes and the sink change frequently, and have profound influence on the lifetime of WSN. To find an efficient protocol that can maintain the routes between the mobile sink and nodes with few network resources are important. We propose a swarm intelligent algorithm based route maintaining protocol in this paper to resolve this issue. The protocol utilizes the concentric ring mechanism to guide the route researching direction, and the optimal routing selection to maintain the data delivery route. Using the immune based artificial bee colony (IABC) algorithm to optimize the forwarding path, the protocol could find an alternative path efficiently when sink moves. The results of our experiments demonstrate that the protocol could balance the network traffic load.

关键词： Routing protocols Wireless sensor networks Artificial neural networks TV

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Privacy preserving for network coding in smart grid 15th

Privacy preserving for network coding in smart grid

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15th International Conference on Algorithms and Architectures for Parallel processing, ICA3PP 2015

作者： He, Shiming Zeng, Weini Xie, Kun Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation School of Computer and Communication Engineering Hunan Province Engineering Research Center of Electric Transportation and Smart Distributed Network Changsha University of Science and Technology Changsha410114 China The 716th Research Institute China Shipbuilding Industry Corporation Lianyungang222061 China College of Computer Science and Electronics Engineering Hunan University Changsha410082 China Department of Electrical and Computer Engineering State University of New York at Stony Brook New York United States

ISBN: (纸本)9783319271361

In smart grid, privacy implications to individuals and their family is an important issue, due to the fine-grained usage data collection. Wireless communications are considered by many utility companies to obtain information. Network coding is exploited in smart grids, to enhance network performance in terms of throughput, delay, robustness, and energy consumption. However, Network Coding introduces new challenge for privacy preserving due to the encoding of packet in forwarder nodes. We propose a distributed privacy preserving scheme for network coding in smart grid, which considers the converged flows character of smart grid and exploits a homomorphic encryption function to decrease the complex in forwarder node. The message content of packet is encrypted and the tag of packet is encrypted by homomorphic encryption function. Then the forwarder node linear random codes the encrypted message contents and directly processes the tags cryptotext based on the homomorphism feature. It offers message content confidentiality privacy preserving feature, which can efficiently thwart traffic analysis. Extensive security analysis and performance evaluations demonstrate the validity and efficiency of the proposed scheme. © Springer International Publishing Switzerland 2015.

关键词： Smart power grids

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