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4th Biomedical Engineering International Conference, BMEiCON-2011

作者： Jaruwongrangsee, Kata Maturos, Thitima Bunthawin, Sakshin Wisitsoraat, Anurat Sangworasil, Manas Tuantranont, Adisorn Nanoelectronics and MEMS Laboratory National Electronics and Computer Technology Center Pathumthani Thailand Biotechnology of Electromechanics Research Unit Prince of Songkla University Phuket Thailand Biomedical Signal and Image Processing Laboratory King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand

ISBN: (纸本)9781457721908

In this work, we present a device for cell manipulation and separation using travelling wave dielectophoretic (twDEP) force. The device consists of microchamber and 16 parallel electrode array controlled by four-phase signal. The dielectrophoretic PDMS chamber and Cr/Au parallel electrode array were fabricated by standard microfabrication techniques. The driving signals for the twDEP system are produced by a specially designed four-phase signal generator. The signal generator can be operated in a fixed or±90° phase shift mode with varying frequency, applied voltage and shift interval. In addition, the signal conditions can be store to and retrieved from a built-in database. The twDEP system was tested with polystyrene microspheres suspension in de-ionized water and red blood cells in D-mannitol solution. Cells responded to the electric field in various mechanisms depending on the applied signals conditions. The results showed that the twDEP force occurred when the applied signals were 10 V (50 kHz-700 kHz) and 7V (30 kHz-1MHz) for 4.5 μm and 10 μm microspheres respectively. The mixed solution containing equal amount of 4.5 and 10 μm microspheres were used for separation test. Under the signal conditions for 10 μm microspheres, the microspheres were moved under twDEP force while the smaller microspheres were attached to the electrodes. Therefore, the twDEP device can successfully manipulate and separate the microspheres of different sizes, and it can be further applied for cells selection. © 2011 IEEE.

关键词： Microspheres

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Guest Editorial: Vehicular communications and networks - Part I

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IEEE Journal on Selected Areas in Communications 2011年第1期29卷 1-6页

作者： Wang, Cheng-Xiang Vasilakos, Athanasios V. Murch, Ross D. Stüber, Gordon Shen, Xuemin Sherman Chen, Wai Kosch, Timo Joint Research Institute for Signal and Image Processing School of Engineering and Physical Sciences Heriot-Watt University Edinburgh EH14 4AS United Kingdom Dept. of Computer and Telecommunications Engineering University of Western Macedonia Kozani 50100 Greece Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA 30332-0250 United States Department of Electrical and Computer Engineering University of Waterloo Waterloo ON N2L 3G1 Canada Applied Research Telcordia Technologies Inc. Piscataway NJ 07054 United States BMW Group Research and Technology Hanauer Strasse 46 D-80992 Munich Germany

Part I of this special issue is devoted to the physical layer, MAC layer, and physical-link cross-layer design technologies of vehicular communications and networks. There are 21 papers in this issue.

关键词： Communication research iodine VEHICULAR COMMUNICATIONS

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Universal image steganalysis against spatial-domain steganography based on energy distribution of singular values

Universal image steganalysis against spatial-domain steganog...

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7th International Conference on Information Technology and Application, ICITA 2011

作者： Shojaei-Hashemi, Anahita Soltanian-Zadeh, Hamid Ghaemmagham, Shahrokh Kamarei, Mahmoud School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Image Analysis Laboratory Department of Radiology Henry Ford Health System Detroit MI United States Electronics Research Institute Sharif University of Technology Tehran Iran

ISBN: (纸本)9780980326741

A passive image steganalysis method is proposed to universally detect spatial-domain steganography schemes. It is shown to have better performance than universal steganalyzers known to be powerful in spatial domain, including the WFLogSv and the WAM methods. This level of accuracy is the result of improving the WFLogSv steganalyzer by considering a more comprehensive relationship between the singular values of each image block and the linear correlation of the rows and the columns. That is, instead of the closeness of the lower singular values to zero, the energy distribution of the singular values is investigated. An innovative measure is proposed for this investigation, which is inspired from arithmetic mean-geometric mean inequality. Experimental results confirm the supremacy of the proposed steganalysis scheme over its counterparts.

关键词： Singular value decomposition

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image annotation refinement using dynamic weighted voting based on mutual information

Journal of Software

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Journal of Software 2011年第11 SPEC. ISSUE期6卷 2239-2246页

作者： Song, Haiyu Li, Xiongfei Wang, Pengjie Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China Institute of Computer Graphics and Image Processing Dalian Nationalities University Dalian China State Key Laboratory of CAD and CG Zhejiang University Hangzhou China

Automatic image annotation is a promising solution to narrow the semantic gap between low-level content and high-level semantic concept, which has been an active research area in the fields of image retrieval, pattern recognition, and machine learning. However, even the most dedicated annotation algorithms are often unsatisfactory. image annotation refinement has attracted much more attention recently. In this paper, a novel refinement algorithm using dynamic voting based on mutual information is proposed. Unlike the traditional refinement algorithm, the proposed algorithm adopts dynamic weighted voting to measure the dependence between the candidate annotations, which not only permits that the annotations with higher probabilities deny the annotations with lower probabilities, but also permits that the annotations with lower probabilities deny the annotations with higher probabilities. The proposed refinement algorithm adopts progressive method instead of iterative, which can significantly decrease the time cost of refining annotations. In order to further improve efficiency without sacrificing precision, we propose the block-based normalized cut algorithm to segment image. Experiments conducted on standard Washington Ground Truth image Database demonstrate the effectiveness and efficiency of our proposed approach for refining image annotations. © 2011 ACADEMY PUBLISHER.

关键词： image annotation

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Universal steganalysis based on local prediction error in wavelet domain

Universal steganalysis based on local prediction error in wa...

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7th International Conference on Intelligent Information Hiding and Multimedia Signal processing, IIHMSP 2011

作者： Shojaei-Hashemi, Anahita Mehdipour-Ghazi, Mostafa Ghaemmaghami, Shahrokh Soltanian-Zadeh, Hamid School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran Electronics Research Institute Sharif University of Technology Tehran Iran Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Image Analysis Laboratory Department of Radiology Henry Ford Health System Detroit MI United States

ISBN: (纸本)9780769545172

A passive universal image steganalysis method is proposed that is shown to be of higher detection accuracy than existing truly blind steganalysis methods including Farid's and the WAM. This is achieved by improving some weaknesses of Farid's steganalysis scheme in feature extraction, that is, instead of deriving an over-determined equation system for each sub band of the wavelet decomposition, the sub bands are divided into overlapping blocks and an over-determined equation system is constructed for each block. To guarantee the existence of finite answers, the over-determined equation systems are solved in a way different from Farid's by using Moore-Penrose pseudo-inverse concept. Further improvement to the performance is achieved by adding diagonal directions and increasing the number of moments. The comparative evaluations confirm the superiority of the proposed method over prevalent blind steganalysis schemes. © 2011 IEEE.

关键词： Wavelet decomposition

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A skew angle detection algorithm based on maximum gradient difference

A skew angle detection algorithm based on maximum gradient d...

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International Conference on Transportation, Mechanical, and Electrical Engineering (TMEE)

作者： Dan Wang Xichang Wang Jiang Liu Institute of Information Science & Engineering Computer Software Novel Technology Shandong China Shandong Oumasoft Co. Ltd Research Institute of Digital Image Processing Shandong China

ISBN: (纸本)9781457717000

In order to resolve the problem of skew phenomenon in the handwritten document image during the scanning process, a new skew angle detection algorithm based on maximum gradient difference as well as Hough transform was proposed in the paper. Firstly, text lines are labeled by using maximum gradient difference, and then we use the method of non-text filtering to get rid of shorter text lines and dots. Finally, margin information is extracted after refining on text lines, and two-stage Hough transform is made to the margin extracted information with the strategy varying from “coarse” to “fine” strategy, calculating the skew angle of document image which is fixed by the average of several longest lines. Experiment results shows that the algorithm detects skew angles of document image more rapidly and accurately than Hough transform alone.

关键词： Transforms Data mining Accuracy Detection algorithms Layout Filtering Algorithm design and analysis

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Content- and semantic-based progressive multimodal image retrieval

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ICIC Express Letters 2011年第1期5卷 201-206页

作者： Song, Haiyu Li, Xiongfei Wang, Pengjie Zhang, Xiaoli Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education Jilin University Qianjin Avenue Changchun 130012 China Institute of Computer Graphics and Image Processing Dalian Nationalities University Economic and Technological Development Zone Liaohe Road Dalian 116600 China

image retrieval has been an active research topic due to its great importance in the field of image management, digital library and web searching. However, the performances of the existing approaches, including text-based or content-based image retrieval, are often unsatisfactory. Inspired by text-based image retrieval, we propose semantic-based approach, whose similarity computation is semantic relevance rather than word matching. In this paper, a novel approach of progressive image retrieval based on content and semantic is proposed. The proposed retrieval model overcomes the drawbacks of pure content-based and text-based image retrieval, which exploits the strengths of both semantic- and content-based methods, minimizing their weaknesses. Experiments demonstrate the effectiveness and efficiency of the proposed method for image retrieval. © 2011 ISSN.

关键词： Semantics

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Cross-Layer Interference Mitigation for Cognitive Radio MIMO Systems

Cross-Layer Interference Mitigation for Cognitive Radio MIMO...

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IEEE International Conference on Communications (ICC)

作者： Zengmao Chen Cheng-Xiang Wang Xuemin Hong John Thompson Sergiy A. Vorobyov Dongfeng Yuan Joint Research Institute of Signal and Image Processing Heriot-Watt University Edinburgh UK Joint Research Institute of Signal and Image Processing University of Edinburgh Edinburgh UK Department of Electrical and Computer Engineering University of Alberta Edmonton AB Canada School of Information Science and Engineering Shandong University Jinan Shandong China

In this paper, we investigate the interference mitigation from a cross-layer perspective for a cognitive radio (CR) multiple-input multiple-output (MIMO) network coexisting with a primary time-division-duplexing (TDD) system. The channel allocation in the media access control (MAC) layer and a subspace-based precoding scheme in the physical layer of the CR network are jointly considered to minimise the interference to the primary user and maximise the CR throughput. Two distributed cross-layer algorithms, namely, joint iterative channel allocation and precoding (JICAP) and non-iterative channel allocation and precoding (NICAP), are proposed for the cases with and without channel information among CR nodes, respectively. Moreover, a channel estimation scheme is also proposed to enable the NICAP. The effectiveness of the proposed algorithms over non-cross-layer counterpart is demonstrated via simulations.

关键词： Channel allocation Downlink Interference channels Channel estimation Covariance matrix Physical layer

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Recognizing Cursive Arabic Text:Using statistical features and interconnected mono-HMMs

Recognizing Cursive Arabic Text:Using statistical features a...

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2011 4th International Congress on image and Signal processing(第四届图像与信号处理国际学术会议 CISP 2011)

作者： M S Khorsheed H Al-Omari Image Processing and Signal Analysis & Recognition (IPSAR) Research Group Computer Research Institute King Abdulaziz City for Science and Technology PO Box 6086 Riyadh 11442 Saudi Arabia

This paper presents a cursive Arabic text recognition system. The system decomposes the document image into test line images and extracts a set of simple statistical features from a one-pixel width window which is sliding a cross that text line. It then injects the resulting feature vectors to Hidden Markov Models. The proposed system is applied to a data corpus which includes Arabic text of more than 600 A4-size sheets typewritten in multiple computergenerated fonts.

关键词： Document analysis pattern recognition Arabic text recognition hidden Markov models HTK

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COSPARSE ANALYSIS MODELING - UNIQUENESS AND ALGORITHMS

COSPARSE ANALYSIS MODELING - UNIQUENESS AND ALGORITHMS

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IEEE International Conference on Acoustics, Speech and Signal processing

作者： Sangnam Nam Michael E. Davies Michael Elad Remi Gribonval IRISA INRIA Rennes Bretagne Atlantique France IDCOM & Joint Research Institute of Signal and Image Processing Edinburgh University UK Department of Computer Science Technion-Israel Institute of Technology Israel

In the past decade there has been a great interest in a synthesis-based model for signals, based on sparse and redundant representations. Such a model assumes that the signal of interest can be composed as a linear combination of few columns from a given matrix (the dictionary). An alternative analysis-based model can be envisioned, where an analysis operator multiplies the signal, leading to a cosparse outcome. In this paper, we consider this analysis model, in the context of a generic missing data problem (e.g., compressed sensing, inpainting, source separation, etc.). Our work proposes a uniqueness result for the solution of this problem, based on properties of the analysis operator and the measurement matrix. This paper also considers two pursuit algorithms for solving the missing data problem, an L1-based and a new greedy method. Our simulations demonstrate the appeal of the analysis model, and the success of the pursuit techniques presented.

关键词： Analytical models Data models Algorithm design and analysis Matching pursuit algorithms Optimization Dictionaries Computational modeling

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