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Guest editorial: Introduction to the special issue on adaptive learning systems in communication networks

IEEE Transactions on Neural Networks 2005年第5期16卷 1013-1018页

作者： Parlos, Alexander G. Ji, Chuanyi Parisini, Thomas Baglietto, Marco Atiya, Amir F. Claffy, K. Texas A and M University Department of Mechanical Engineering College Station TX 77483 United States Georgia Institute of Technology Department of Electrical and Computer Engineering Atlanta GA 30332 United States University of Trieste Department of Electrical Electronic and Computer Engineering Trieste Italy University of Genova Department of Communications Computer and Systems Science Genova Italy Cairo University Department of Computer Engineering Cairo Egypt University of California Cooperative Association for Internet Data Analysis San Diego Supercomputer Center La Jolla CA 92093 United States

No abstract available

关键词： NEURAL networks (computer science)

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Feature selection: We've barely scratched the surface

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IEEE INTELLIGENT SYSTEMS 2005年第6期20卷 74-76页

作者： Forman, G Hewlett-Packard Labs. United States Arizona State University United States Department of Electrical Engineering United States Genomic Signal Processing Laboratory Texas A and M University United States Computational Biology Division Translational Genomics Resesarch Insititute Phoenix United States Department of Electrical and Computer Engineering Northeastern University United States Motorola Labs. Intel Genomics Division Lawrence Berkeley National Laboratory United States Lawrence Berkeley National Laboratory United States Life Science Division Lawrence Berkeley National Laboratory United States Neurogenomics Division Translational Genomics Research Institute United States Department of Computer Science and Engineering Fulton School of Engineering Arizona State University United States Department of Computer Science University of New York Binghamton United States Department of Computer Science and Engineering Arizona State University United States

Various feature selection techniques were studied. The trend toward richer data types is pushing feature selection in both scale and complexity. Natural language text features and image features are becoming commonplace. Several trends will increase the demand for feature selection. Time plays an additional role in some nonstationary domains where the best features have a seasonal dependency.

关键词： Feature extraction

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220 fs Er-Yb: Glass laser mode-locked by a broadband low-loss Si/Ge saturable absorber

220 fs Er-Yb: Glass laser mode-locked by a broadband low-los...

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Advanced Solid-State Photonics, ASSP 2005

作者： Grawert, F.J. Gopinath, J.T. Ilday, F.O. Shen, H.M. Ippen, E.P. Kärtner, F.X. S. Akiyama Liu, J. Wada, K. Kimerling, L.C. Research Laboratory of Electronics Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge MA 02139 United States Material Processing Center Department of Materials Science and Engineering Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge MA 02139 United States

We report a silicon/germanium saturable Bragg reflector, compatible with CMOS processing. Its sub-picosecond recovery time enables a C-band spanning mode-locked Er-Yb:glass laser at 1540 nm, generating 220 fs pulses. ... 详细信息

ISBN: (纸本)1557527814

关键词： Glass

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data-Hiding Codes

Data-Hiding Codes

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作者： Moulin, Pierre Koetter, Ralf IEEE United States University of Illinois Urbana IL 61801 United States Department of Electrical and Computer Engineering United States Beckman Institute Coordinated Science Laboratory United States Department of Statistics United States Board of Governors IEEE Signal Processing Society United States Coordinated Science Laboratory United States

This tutorial paper reviews the theory and design of codes for hiding or embedding information in signals such as images, video, audio, graphics, and text. Such codes have also been called watermarking codes;they can be used in a variety of applications, including copyright protection for digital media, content authentication, media forensics, data binding, and covert communications. Some of these applications imply the presence of an adversary attempting to disrupt the transmission of information to the receiver;other applications involve a noisy, generally unknown, communication channel. Our focus is on the mathematical models, fundamental principles, and code design techniques that are applicable to data hiding. The approach draws from basic concepts in information theory, coding theory, game theory, and signal processing, and is illustrated with applications to the problem of hiding data in images. © 2005 IEEE.

关键词： Codes (symbols)

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Radar backscattering model for multilayer mixed-species forests

Radar backscattering model for multilayer mixed-species fore...

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作者： Liang, Pan Moghaddam, Mahta Pierce, Leland E. Lucas, Richard M. IEEE Atmospheric and Environmental Research Inc. Lexington MA Department of Electrical Engineering and Computer Science Radiation Laboratpry University of Michigan Ann Arbor URSI Commission B Electromagnetics Academy Phi Kappa Phi Tau Beta Pi Eta Kappa Nu Microwave Image Processing Facility Within the Radiation Laboratory Electrical Engineering and Computer Science Department University of Michigan University of Wales Aberystwyth Aberystwyth United Kingdom Radiation Laboratory Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI 48109-2122 United States Institute of Geography and Earth Sciences University of Wales Aberystwyth SY23 3DB United Kingdom

A multilayer canopy scattering model is developed for mixed-species forests. The multilayer model provides a significantly enhanced representation of actual complex forest structures compared to the conventional canopy-trunk layer models. Multilayer Michigan Microwave Canopy Scattering model (Multi-MIMICS) allows overlapping layer configuration and a tapered trunk model applicable to forests of mixed species and/or mixed growth stages. The model is the first-order solution to a set of radiative transfer equations and includes layer interactions between overlapping layers. It simulates SAR backscattering coefficients based on input dimensional, geometrical, and dielectric variables of forest canopies. The Multi-MIMICS is an efficient realization of actual forest structures and can be shaped for specific interest of forest parameters. We present the model's application and validation in the paper. The model is parameterized using data collected from a 220 000-ha area of forests in central Queensland, Australia. Fifteen 50 × 50 m test sites representing the general forest diversity and growth stages are chosen as ground truth. Polarimetric backscattering Airborne SAR (AIRSAR) data of the same area are acquired to validate the model simulations. The model predicts SAR backscattering coefficients of the test areas. Simulation results show a good agreement with AIRSAR data at most frequencies and polarizations. The simulated backscattering coefficient from the multilayer model and the standard MIMICS are also compared and significant improvements are observed. © 2005 IEEE.

关键词： Mathematical models

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Optical and current noise of GaN based light emitting diodes

Optical and current noise of GaN based light emitting diodes

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2005 International Semiconductor Device Research Symposium

作者： Sawyer, S. Rumyantsev, S.L. Pala, N. Shur, M.S. Bilenko, Yu. Zhang, J.P. Hu, X. Lunev, A. Deng, J. Gaska, R. Department of Electrical Computer and Systems Engineering Center for Broadband Data Transport Science and Technology CII 9017 Rensselaer Polytechnic Institute Troy NY 12180-3590 United States Sensor Electronic Technology Inc. 1195 Atlas Road Columbia SC 29209 United States Ioffe Institute Russian Academy of Sciences 194021 St-Petersburg Russia

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ISBN: (纸本)1424400848

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On using type-1 fuzzy set mathematics to derive interval type-2 fuzzy logic systems

On using type-1 fuzzy set mathematics to derive interval typ...

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Conference of the North American Fuzzy Information processing Society - NAFIPS

作者： J.M. Mendel R.I. John Feilong Liu Signal and Image Processing Institute Department of Electrical Engineering University of Southern California Los Angeles CA USA Centre for Computational Intelligence Department of Computer Science Faculty of Computing Science and Engineering De Montfort University Leicester UK

In this paper, we demonstrate that it is unnecessary to take the route from general type-2 fuzzy set to interval type-2 fuzzy set, and that all of the results that are needed to implement an interval type-2 fuzzy logic system can be obtained using type-1 fuzzy set mathematics. As such, this paper makes an interval type-2 fuzzy logic system much more accessible to the fuzzy logic community, and we can now develop an interval type-2 fuzzy logic system in a much more straightforward way.

关键词： Fuzzy logic Fuzzy sets Fuzzy systems Mathematics Frequency selective surfaces Signal processing Image processing Computational intelligence computer science Uncertainty

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A novel gene mapping algorithm based on independent component analysis

A novel gene mapping algorithm based on independent componen...

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International Conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Z. Dawy M. Sarkis J. Hagenauer J.C. Mueller Department of Electrical and Computer Engineering American University of Beirut Beirut Lebanon Institute for Communications Engineering (LNT) Munich University of Technology Munich Germany Institute for Data Processing (LDV) Munich University of Technology Munich Germany National Research Center for Environment and Health Neuherberg Germany

Identifying the causal genetic markers responsible for complex diseases is a main aim in human genetics. In the context of complex diseases, which are believed to have multiple causal loci of largely unknown effect and position, there is a need to develop advanced methods for gene mapping. In this work, we propose a novel algorithm based on independent component analysis for gene mapping. To apply the algorithm, we model the intra-cellular interactions as a mixing process of multiple sources. Results prove the superiority of the proposed algorithm over conventional statistical based methods, and demonstrate yet another successful application of a well known signal processing technique to an important problem in the field of human genetics.

关键词： Independent component analysis Signal processing algorithms Genetics Diseases Humans Genomics Bioinformatics Testing Communications technology data engineering

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Effects of encoding bit rates on user level QoS for video streaming

Effects of encoding bit rates on user level QoS for video st...

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IASTED International Conference on Internet and Multimedia Systems and Applications, EuroIMSA 2005

作者： Masuda, Hisaonri Imamiya, Atsumi Kitagata, Gen Suganuma, Takuo Go, Kentaro Shiratori, Norio Research Institute of Electrical Communication Tohoku University 2-1-1 Katahira Aoba-ku Sendai Miyagi 980-8577 Japan Department Computer Science and Media Engineering University of Yamanashi 4-3-11 Takeda Kofu Yamanashi 40-8511 Japan Center for Integrated Information Processing University of Yamanashi 4-3-11 Takeda Kofu Yamanashi 40-8511 Japan

ISBN: (纸本)0889864861

As the Internet access over broadband networks is growing, multimedia communications with video using MPEG will be widely used. User level QoS will be needed at ubiquitous and multimedia computing environment using MPEG, affects directly on human's sense. We conducted an experiment in order to investigate relation between MPEG encoding bit rates and user level QoS. The result shows that there is a threshold of user level QoS between 200 and 400 Kbps of our video streaming contents.

关键词： Signal encoding

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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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