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International Conference on Communications, Circuits and Systems (ICCCAS)

作者： Renting Liu Wei Guo Xiangquan Zheng Yongchun Tian National Key Laboratory of Communication University of Electronic Science and Technology Chengdu Sichuan China Key Laboratory of Digital Communication & Signal Processing Chongqing Communication College Chongqing China Group of China The 30th Institute of Electronic Science Group of China Chengdu China

ISBN: (纸本)0780390156

Inspired by the foraging behaviors of real ants, an ant-based routing algorithm for mobile ad hoc networks (MANET) should adapt the special characteristics of the networks. It should be self-configurable, self-built and distributed. In this paper, we present a bi-directional and hop-by-hop pheromone-updated ant-based routing (BHPAR) algorithm for MANET. The algorithm can accelerate the convergence rate of the existing ant-based routing algorithms and improve the response speed to abnormal cases in MANET. Besides, BHPAR provides redundant paths for routing and thus improves the reliability and survivability of the network. Simulation results show that BHPAR performs well in average end-to-end delay and routing overhead as well as packet delivery rate.

关键词： Bidirectional control Routing protocols Mobile ad hoc networks signal processing algorithms Mobile communication Telecommunication network reliability Heuristic algorithms Broadcasting Laboratories Digital signal processing

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Development of face robot to express the individual face by optimizing the facial features

Development of face robot to express the individual face by ...

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IEEE-RAS International Conference on Humanoid Robots

作者： K. Itoh H. Miwa Y. Onishi K. Imanishi K. Hayashi A. Takanishi Department of Mechanical Engineering Waseda University Tokyo Japan Humanoid Robotics Institute Waseda University Tokyo Japan Digital Human Research Center National Institute for Advanced Industrial Science and Technology Tokyo Japan Graduate School of Science and Engineering Waseda University Tokyo Japan Audio Signal Processing Laboratory Multimedia Laboratories NTT DoCoMo Inc. Kanagawa Japan

Personal robots, which are expected to become popular in future, are required to be active in joint work and community life with humans. Therefore, we have been developing new mechanisms and functions for a humanoid robot with the ability to communicate with humans in a human-like manner. During human communication, humans distinguish individuals by facial features such as silhouette, position and the shape of each part, and gauge mental state based on facial expressions. Many researchers have developed robots that can express their emotions using facial expressions. However, a robot that can change individual facial aspects has not yet been researched. We consider it important for a personal robot to express not only its emotions but faces which appeal to a partner. Therefore, we developed a face robot WD-(Waseda-Docomo face robot No-1) that expresses various faces by changing the facial feature-points. In this study, a mask of the average face was made in order to express complicated shapes with small control points. The position, number and movable range of feature-points were optimized. In addition, we developed 3-DOFs drive unit and controlled each feature-point, not at a point but on a plane

关键词： Facial features Humans Face Humanoid robots Service robots Eyes Lips Robot sensing systems Eyebrows Biomedical engineering

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Granular theorem of quotient space in image segmentation

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Jisuanji Xuebao/Chinese Journal of Computers 2005年第10期28卷 1680-1685页

作者： Liu, Ren-Jin Huang, Xian-Wu Department of Computer Science and Technology West Anhui University Lu'an 237012 China Laboratory of Intelligent Computing and Signal Processing Anhui University Hefei 230039 China School of Electronic and Information Engineering Soochow University Suzhou 215006 China

Based on the quotient space granular theorem, the image segmentation concept is analyzed and the image segmentation methods are studied, and then the quotient space granular theorem of image segmentation is demonstrated. The image segmentation problems are described with triple elements function of the quotient space model (X,f,Γ)⇔([X],[f],[Γ]), according to the quotient space granularity computing, the image segmentation theorem is presented. The methods of images segmentation based on hierarchical and synthesis and combinational technique are exploited and then the segmentation algorithm based granularity synthesis technique is proposed. In this technique, the features of directionality and roughness in texture images data set are firstly extracted respectively to form the different granularities of image, then the different granularity are synthesized according to the theorem of granularity synthesis, finally the texture images is segmented. The experimental results demonstrate that the algorithm is valid for the segmentation of complicated texture images.

关键词： Image segmentation

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A computer-aided system for mass detection and classification in digitized mammograms

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Biomedical Engineering - Applications, Basis and Communications 2005年第5期17卷 215-228页

作者： Yang, Sheng-Chih Wang, Chuin-Mu Chung, Yi-Nung Hsu, Giu-Cheng Lee, San-Kan Chung, Pau-Choo Chang, Chein-I. Department of Electrical Engineering National Cheng Kung University Tainan Taiwan Department of Computer Science and Information Engineering National Chin Yi Institute of Technology Taichung Taiwan Department of Electrical Engineering Da-Yeh University Chunghua Taiwan Department of Radiology Tri-Service General Hospital National Defense Medical Center Taipei Taiwan Administrative Office Suao Veterans Hospital Yilan Taiwan Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore MD United States

This paper presents a computer-assisted diagnostic system for mass detection and classification, which performs mass detection on regions of interest followed by the benign-malignant classification on detected masses. In order for mass detection to be effective, a sequence of preprocessing steps are designed to enhance the intensity of a region of interest, remove the noise effects and locate suspicious masses using five texture features generated from the spatial gray level difference matrix (SGLDM) and fractal dimension. Finally, a probabilistic neural network (PNN) coupled with entropic thresholding techniques is developed for mass extraction. Since the shapes of masses are crucial in classification between benignancy and malignancy, four shape features are further generated and joined with the five features previously used in mass detection to be implemented in another PNN for mass classification. To evaluate our designed system a data set collected in the Taichung Veteran General Hospital, Taiwan, R.O.C. was used for performance evaluation. The results are encouraging and have shown promise of our system.

关键词： Computer aided analysis

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Journal of Information science and Engineering: Editorial notice

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Journal of Information science and Engineering 2005年第5期21卷 i-ii页

作者： Lee, Der-Tsai Amato, Nancy M. Chang, Shih-Fu Chen, Homer H. Chen, Tsuhan Hsu, Tsan-Sheng Hwang, Jenq-Neng Kuo, Sy-Yen Kuo, Tei-Wei Li, Chung-Sheng Tokuyama, Takeshi Wing, Jeannette Wu, Tzong-Chen Yen, John Computer Science at Texas A and M University United States Parasol Laboratory United States IEEE Transactions on Parallel and Distributed Systems Computing Research Association's Committee on the Status of Women in Computing Research CRA-W's Distributed Mentor Program United States Department of Electrical Engineering Columbia University United States Lab. United States College of Electrical Engineering and Computer Science National Taiwan University Taiwan IEEE Transactions on Circuits and Systems for Video Technology IEEE Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA United States ACM ACM SIGACT IEEE Computer Society IICM Austria Research and Development of the Department Multimedia Signal Processing Technical Committee IEEE Signal Processing Society United States IEEE Transactions on Circuits and systems for Video Technology College of Electrical Engineering and Computer Science National Taiwan Ocean University Keelung Taiwan Department of Electrical Engineering National Taiwan University Taiwan Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan IEEE Technical Committee on Real-Time Systems Computer Science Division IBM T.J. Watson Research Center United States IBM Research Division Graduate School of Information Sciences Tohoku University Japan ACM IPSJ Mathematical Society of Japan Japan Department of Computer Science Computer Science Department Carnegie Mellon University United States National Academies of Science's Computer Science and Telecommunications Board United States Microsoft's Trustworthy Academic Advisory Board Intel Research Pittsburgh's Advisory Board United States Dartmouth's Institute for Security Technology Studies Advisory Committee Canada Sloan Research Fellowships Program Committee United States ACM Taiwan China Information Sciences and Technology Pennsylvania State University United States Laboratory for Intelligent Agents Penn State's School of Info

No abstract available

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Sparse factorization proprecessing-based offline analysis for a cursor control experiment

Sparse factorization proprecessing-based offline analysis fo...

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2004 IEEE International Workshop on Biomedical Circuits and Systems

作者： Li, Yuanqing Cichocki, Andrzej Guan, Cuntai Qin, Jianzhao Laboratory for Advanced Brain Signal Processing RIKEN Brain Science Institute Wako shi Saitama 3510198 Japan Institute for Infocomm Research Singapore 119613 Singapore Institute of Automation Science and Engineering Southchina University of Technology Guangzhou 510640 China

ISBN: (纸本)0780386655

As a communication interface translating brain activities into a control signal for devices like computers, brain-computer interfaces (BCI) have received more and more attentions in recent years due to many potential applications. It is well known that preprocessing (e.g., filtering, etc.) of EEG signals plays an important role in EEG based BCI. In this paper, a sparse factorization approach is presented as a new kind of preprocessing method for BCI. Next, we define power feature vectors related to μ and β frequency bands of these components, and use regularized Fisher discriminant method for classification. Our off line analysis based on the data of a cursor control experiment shows that sparse factorization preprocessing can improve considerably accuracy rate in comparison to PCA or ICA preprocessing. © 2004 IEEE.

关键词： Control systems

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A robust RBF neural net Bayesian estimator for channel equalization

A robust RBF neural net Bayesian estimator for channel equal...

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International Symposium on Communications Control and signal processing (ISCCSP)

作者： D. Khedim A. Benyettou M. Woolfson SIgnal-IMage-PArole (SIMPA) Laboratory Department of Computer Science University of Science and Technology of Oran Oran Algeria Signal processing laboratory Department E.E. Engineering University of Nottingham Nottingham UK

The characteristic (transfer function) of a dispersive M-ary channel equalizer designed through a Bayesian estimator, a performance indicator that is not trivial to obtain for M>2 due to intersymbol interference (ISI), is investigated. A set of curves is obtained and interpreted. Implementation through a radial basis function neural network is considered. It is shown that because network centers endure updating with different rates, the equalizer characteristic errates off the optimum, causing thus the symbol error rate and/or the training time to increase. A solution, based on incorporating an underlying symmetry in the channel response levels into the updating algorithm, brings the characteristic uniformly closer to the optimal one. It is also provided a strategy endowing the network with self-initializing. Simulation results are presented for a channel with sufficient ISI strength.

关键词： Robustness Neural networks Bayesian methods Equalizers Dispersion Intersymbol interference Additive noise Delay estimation Laboratories Error analysis

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The simple SNR estimation algorithms for MPSK signals

The simple SNR estimation algorithms for MPSK signals

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International Conference on signal processing Proceedings (ICSP)

作者： Hua Xu Hui Zheng National Key Laboratory of Signal Processing IETTC Chengdu Sichuan China University of Electronic Science and Technology Chengdu Sichuan China

The data-aimed signal-to-noise ratio (SNR) estimation algorithm (ADML), decision-directed SNR estimation algorithm (DDML) and a new blind SNR estimation algorithm for MPSK signals over an additive white Gauss noise channel (AWGN) have been presented in this paper by using maximum-likelihood (ML) principle. The ADML has perfect performance and is as good as the performance lower bounds. The performance of DD algorithm depends directly on the accuracy of decision, so it's good for high SNR, but suffers when the SNR is low and especially, less than 0 dB. The new blind SNR estimation algorithm has good performance and low computational complexity for M=2(BPSK), but the performance degrades when M is increasing. The brief performance analysis, computer simulation and performance comparing with other SNR estimation algorithms are also given in this paper.

关键词： signal to noise ratio Additive white noise AWGN Maximum likelihood estimation Additive noise Gaussian channels Gaussian noise Computational complexity Degradation Performance analysis

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TLS-SVD based overlapping delay estimation for DS-CDMA

TLS-SVD based overlapping delay estimation for DS-CDMA

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IEEE Conference on Vehicular technology (VTC)

作者： Li HanQiang DaWei Liu Wei Guo Zheng Hui NCT Key LAB University of Electronic Science and Technology Chengdu China National Key Laboratory of Modern Signal Processing Southwest Institute of Electronics and Telecommunications Technology Chengdu China

ISBN: (纸本)0780385217

This paper aims at resolving overlapped multipaths. A fast high resolution overlapping delay estimation technique is proposed. The method first uses a new correlation-based estimation function to eliminate the effect on estimation error caused by complex amplitude phase, then uses the FFT transform and deconvolution to convert the delay estimation problem to a sinusoid frequency estimation problem. Finally, the Pisarenko's harmonic retrieval (PHR) and TLS-SVD (total least squares singular value decomposition)-based algorithm is adopted to estimate the overlapped delay. The computer simulations show that the proposed method produces rapid, high resolution time delay estimations.

关键词： Delay estimation Multiaccess communication Frequency estimation Amplitude estimation Phase estimation Estimation error Deconvolution Least squares approximation Computer simulation Delay effects

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Rate control for MPEG-4 FGS coded video using piecewise rate distortion model

Rate control for MPEG-4 FGS coded video using piecewise rate...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Li Zhuo Kin-Man Lam Lansun Shen Signal & Information Processing Laboratory Beijing University of Technology Beijing China Department of Electronic and Information Engineering Hong Kong University of Science and Technology Kowloon Hong Kong China

ISBN: (纸本)0780386035

Three efficient rate allocation schemes for the MPEG-4 fine granular scalability (FGS) enhancement layer with constant quality are proposed. With the distortion measured using the mean squared error (MSE) or peak signal-to-noise ratio (PSNR) metric, the rate distortion (R-D) curve of the MPEG-4 FGS enhancement layer exhibits piecewise characteristics. For each piecewise region, a first-order or a second-order model is adopted to estimate the actual R-D curve. Based on these piecewise models, three optimal rate allocation schemes are proposed to allocate an appropriate number of bits to the enhancement layer of each frame. Experimental results show that, compared to the average rate allocation method and the exponential model method, our proposed algorithms can achieve a more constant quality in the reconstructed video.

关键词： MPEG 4 Standard Rate-distortion Image reconstruction PSNR Scalability Distortion measurement Video coding signal processing Information processing Laboratories

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