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New channels for carrying copyright and usage rights data in digital multimedia distribution

New channels for carrying copyright and usage rights data in...

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International Conference on Information Technology: Research and Education (ITRE)

作者： A.M. Eskicioglu E.J. Delp M.R. Eskicioglu Brooklyn College City University of New York Brooklyn NY USA Video and Image Processing Laboratory (VIPER) School of Electrical and Computer Engineering Purdue University West Lafayette IN USA Department of Computer Science University of Manitoba Winnipeg MAN Canada

Protection of intellectual property is a critical issue in digital multimedia distribution systems. Cryptographic tools are commonly used for secure delivery of content and access keys to consumers via terrestrial, satellite, cable and Internet transmissions. A third requirement is the distribution of the copyright or usage rights associated with the digital content. The integrity, as opposed to security, of this data is essential to prevent unauthorized modification. Two approaches have been proposed in the open literature: allocating special fields in the transport stream and embedding a watermark into multimedia content. We present two new methods, based on secret sharing, to create channels with guaranteed data integrity.

关键词： Cryptography Streaming media Protection Intellectual property Multimedia systems Satellites Power cables Internet Data security Watermarking

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Biosignal laboratory: a software tool for biomedical signal processing and analysis

Biosignal laboratory: a software tool for biomedical signal ...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： D. Cuesta P. Mico M. Aboy D. Novak R. Brezny L. Samblas D. Pastor S. Sancho Department of Computer Science Polytechnic University of Valencia Alcoy Spain Biomedical Signal Processing Laboratory Electrical and Computer Engineering Portland State University Portland OR USA Department of Cybernetics Technical University of Prague Prague Czech Republic Department of Neurology The Motol University Hospital Prague Czech Republic

Biosignal processing and analysis is a field of great importance in current medical practice. In recent years, biomedical engineers have developed many algorithms and processing techniques in order to help doctors in the examination of many different biosignals, and to find new information embedded in them and not easily observable in the raw data. Since the number and variety of these techniques grows every day, it is becoming more and more difficult to be up to date in biosignal processing. Other aspects such as signals format, algorithms implementation and comparison, artifacts, etc, make the learning process in this field longer and longer, and in many occasions a lot of different software tools are needed to visualize or process biosignals. In this paper we present a program that consists of many of the current typical biosignal processing algorithms: filtering, domain transforms, basic operators, wave detection, and unlike other similar applications, it includes a pattern recognition block. The program can also be used just to exchange signals formats. The objective of this program is to become a usual tool both for medical practice and for biomedical educational purposes.

关键词： Laboratories Software tools Biomedical signal processing Signal analysis Signal processing algorithms Biomedical engineering Data engineering Signal processing Software algorithms Visualization

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Automatic face region tracking for highly accurate face recognition in unconstrained environments

Automatic face region tracking for highly accurate face reco...

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IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS)

作者： Y.-O. Kim J. Paik Jingu Heo A. Koschan B. Abidi M. Abidi Korea Electronics and Technology Institute Puchon Gyeonggi South Korea Image Processing Laboratory Department of Image Engineering Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University Seoul South Korea Imaging Robotics and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Tennessee Knoxville USA

We present a combined real-time face region tracking and highly accurate face recognition technique for an intelligent surveillance system. High-resolution face images are very important to achieving accurate identification of a human face. Conventional surveillance or security systems, however, usually provide poor image quality because they use only fixed cameras to record scenes passively. We have implemented a real-time surveillance system that tracks a moving face using four pan-tilt-zoom (PTZ) cameras. While tracking, the region-of-interest (ROI) can be obtained by using a low-pass filter and background subtraction with the PTZ. Color information in the ROI is updated to extract features for optimal tracking and zooming. FaceIt/sup /spl reg//, which is one of the most popular face recognition software packages, is evaluated and then used to recognize the faces from the video signal. Experimentation with real human faces showed highly acceptable results in the sense of both accuracy and computational efficiency.

关键词： Face recognition Surveillance Real time systems Humans Cameras Intelligent systems Security Image quality Layout Low pass filters

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Significance of intracranial pressure pulse morphology in pediatric traumatc brain injury

Significance of intracranial pressure pulse morphology in pe...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： M. Aboy J. McNames D. Cuesta-Frau W. Wakeland T. Thong S. Lai B. Goldstein Biomedical Signal Processing Laboratory Electrical and Computer Engineering Portland State University Portland OR USA Computer Vision Group ETS-Alcoi Polytechnic University of Valencia Spain Systems Science Ph.D. Program Portland State University Portland OR USA Biomedical Engineering OGI School of Science and Engineering Oregon Health and Sciences University Portland OR USA Complex Systems Laboratory Department of Pediatrics Oregon Health and Sciences University Portland OR USA

We investigated the relationship between the intracranial pulse pressure (ICP/sub PP/) and the mean intracranial pressure (ICP/sub M/). In adult patients, several research groups have described a linear relationship between ICP/sub PP/ and ICP/sub M/ within the range of cerebral autoregulation. Current monitoring and therapy are mainly based on the mean ICP/sub M/, since it is believed that the ICP/sub M/ contains most of the information provided by the other pulse morphology metrics. In this paper we attempt to answer whether there is further information within the ICP morphology not explained by ICP/sub M/ that might be of prognostic significance. We screened ICP records of 42 patients admitted to the Pediatric Intensive Care Unit at Doernbecher Children's Hospital for segments in which the ICP/sub M/ varied at least 5 mmHg during a 1-hour period. We found 54 segments in 9 different pediatric TBI patients (ages 0.2-17.8 years, mean=9.9 years). ICP/sub PP/ and ICP/sub M/ were calculated for each pulse using an automatic pressure detection algorithm. The coefficient of linear correlation r was > 0.70 in 43/54 segments (p < 0.001), which indicates that there exists a linear relationship between ICP/sub PP/ and ICP/sub M/. However, we found r > 0.90 only in 16/54 segments (p=NS) . This result and visual inspection of ICP/sub PP/ vs. ICP/sub M/ density plots suggest that ICP pulse pressure is not fully explained by the ICP M.

关键词： Cranial pressure Morphology Brain injuries Iterative closest point algorithm Pediatrics Patient monitoring Medical treatment Hospitals Detection algorithms Inspection

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Support vector machine classifications for microarray expression data set

Support vector machine classifications for microarray expres...

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International Conference on Computational Intelligence and Multimedia Applications

作者： Junying Zhang R. Lee Y.J. Wang Department of Electrical Engineering & Computer Science Catholic University of America Washington D.C. DC USA National Key Laboratory of Radar Signal Processing Xidian University Xi'an China Lombardi Cancer Center George town University Washington D.C. DC USA

ISBN: (纸本)0769519571

Gene selection, cancer classification and functional gene classification are three main concerns and interests by biologists for cancer detection, cancer classification, and understanding the functions of genes from the molecular level of tissues, where the large number of genes and relatively small number of experiments in gene expression data generate a great challenge. After a brief introduction of support vector machine(SVM) for classification, this paper presents recent SVM approaches for gene selection, cancer classification and functional gene classification followed by analysis on the advantages and limitations of SVM on these applications.

关键词： Support vector machines Support vector machine classification Kernel Gene expression Signal processing algorithms Cancer detection Cloning Radar signal processing computer science Biology

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DOA estimation utilizing directive elements on a conformal surface

DOA estimation utilizing directive elements on a conformal s...

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IEEE National Conference on Radar

作者： K. Kim T.K. Sarkar M.C. Wicks R.F. Recio M.S. Palma Department of Electrical Engineering and Computer science Syracuse University Syracuse NY USA Sensors Directorate Signal Processing Branch Rome Site Air Force Research Laboratory Rome NY USA Grupo de Microondas y Radar Departmento Senales Sistemas y Radiocomunicaciones ETSI Telecomunicacion Universidad Politecnica de Madrid Madrid Spain

In this paper we present a methodology on how to use directive elements in an adaptive array methodology. Typically one uses isotropic elements having practically no gain then the signal level is increased by putting hundreds and thousands of these elements together. In this paper we demonstrate a methodology where the elements can be arbitrarily spaced and may even be non-planar. In addition it is shown how to deal with nonuniformly spaced and non-planar arrays. We illustrate these principles in a direction of arrival (DOA) estimation utilizing directive elements.

关键词： Direction of arrival estimation Microstrip antenna arrays Phased arrays Aircraft Signal processing Directive antennas Radar signal processing Microstrip antennas Patch antennas Resonance

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GEOAIDA applied to SPOT satellite image interpretation

GEOAIDA applied to SPOT satellite image interpretation

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GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas

作者： S. Muller R.Q. Feitosa G.L. Abelha Mota D.P. da Costa V.V. da Silva K. Tanisaki Institute of Communication Theory and Signal Processing University of Hanover Hanover Germany Department of Electrical Engineering Catholic University of Rio de Janeiro Rio de Janeiro Brasil Department of Computer Engineering State University of Rio de Janeiro Rio de Janeiro Brasil Applied Geology Department State University of Rio de Janeiro Rio de Janeiro Brasil Radioecology and Global Change Laboratory and Researcher of Geomatic Program State University of Rio de Janeiro Rio de Janeiro Brasil

This paper investigates the application of a knowledge-based approach, founded on semantic networks, to the automatic land use mapping assisted by low resolution satellite images. Like the visual photo-interpretation, the automatic image interpretation considers scene and sensors knowledge, delivered by an expert photo-interpreter, as well as additional information about the region like the digital elevation model, the position of the emergent rocks, the mapping of the water bodies and the road-network. By this means, the analysis of a scene can be automatically performed, mimicking the reasoning of the photo-interpreter. The implementation of such proposal employed the GEOAIDA [J. Buckner et al., June 2001] system, a flexible environment for image interpretation developed at the University of Hanover, which exploits semantic networks to structure the domain specific knowledge. In the reported experiments, a multispectral SPOT 3 XS image was analysed resulting were evaluated and compared with a manually made reference map of the investigated scene. The automatically obtained results were evaluated and compared with a manually made reference map of the investigated scene. The experimental results demonstrate the potential of a knowledge-based approach for low resolution satellite images interpretation.

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parallel creation of non-redundant gene indices from partial mRNA transcripts

Parallel creation of non-redundant gene indices from partial...

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6th International Conference on parallel (PaCT 2001)

作者： Trivedi, Nishank Bischof, Jared Davis, Steve Pedretti, Kevin Scheetz, Todd E. Braun, Terry A. Roberts, Chad A. Robinson, Natalie L. Sheffield, Val C. Soares, M.Bento Casavant, Thomas L. Parallel Processing Laboratory Department of Electrical and Computer Engineering University of Iowa Iowa City IA 52242 United States

This paper describes the UIcluster software tool, which partitions expressed sequence tag (EST) sequences and other genetic sequences into "clusters" based on sequence similarity. Ideally, each cluster will contain sequences that all represent the same gene. UIcluster has been developed over the course of 4 years to solve this problem efficiently and accurately for large data sets consisting of tens or hundreds of thousands of EST sequences. The latest version of the application has been parallelized using the MPI standard. Both the computation and memory requirements of the program can be distributed among multiple (possibly distributed) UNIX processes. © 2002 Elsevier Science B.V. All rights reserved.

关键词： parallel processing systems

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Coevolution and evolving parallel cellular automata-based scheduling algorithms 5th

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5th International Conference on Evolution Artificielle, EA 2001

作者： Seredyński, Franciszek Zomaya, Albert Y. The University of Podlasie Computer Science Department Sienkiewicza 51 Siedlce08-110 Poland Parallel Computing Research Laboratory Department of Electrical and Electronic Engineering The University of Western Australia Nedlands PerthWA6907 Australia

ISBN: (纸本)3540435441

The paper reports new results on developing parallel algorithms for multiprocessor scheduling with use of cellular automata (CAs). The simpliest case when a multiprocessor system is limited to two processors, but without of any limitations on a size and parameters of parallel programs is considered. An approach called a selected neighborhood is used to design a structure of CAs for a given program graph. Co evolutionary genetic algorithm (GA) to discover rules of parallel CAs, suitable for solving the scheduling problem is proposed. Sequential and parallel scheduling algorithms discovered in the context of CAs - based scheduling system are compared. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Cellular automata

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parallel and distributed computing with coevolutionary algorithms 16

Parallel and distributed computing with coevolutionary algor...

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16th International parallel and Distributed processing Symposium, IPDPS 2002

作者： Seredynski, F. Zomaya, A.Y. Department of Computer Science Institute of Insurance Wesola 52 Kielce25-353 Poland Parallel Computing Research Laboratory Department of Electrical and Electronic Engineering University of Western Australia Nedlands PerthWA6907 Australia

ISBN: (纸本)0769515738

The problem of parallel and distributed function optimization is considered. Two coevolutionary algorithms with different degrees of parallelism and different levels of a global coordination are used for this purpose and compared with sequential genetic algorithm (GA). The first coevolutionary algorithm called a loosely coupled genetic algorithm (LCGA) represents a competitive coevolutionary approach to problem solving and is compared with another coevolutionary algoritm called cooperative coevolutionary genetic algorithm (CCGA). The algorithms are applied for parallel and distributed optimization of a number of test functions known in the area of evolutionary computation. We show that both coevolutionary algorithms outperform a sequential GA. While both LCGA and CCGA algorithms offer high quality solutions, they may compete to outperform each other in some specific test optimization problems. The LCGA may be recommended to be used in optimization systems when high degree of parallelism is possible and non global coordination is expected while the CCGA algorithm is useful when low degree of parallelism and global coordination is acceptable. © 2002 IEEE.

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