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2008 International Conference on e-Learning, e-Business, Enterprise Information systems, and e-Government, EEE 2008

作者： Lee, Tong Queue Lee, Eunchang Park, Young Park, Yongtae Department of Mobile Internet Dongyang Technical College Seoul Korea Republic of Graduate Program in Technology and Management Seoul National University Seoul Korea Republic of Department of Computer Science and Information Systems Bradley University Peoria IL United States Department of Industrial Engineering Seoul National University Seoul Korea Republic of

ISBN: (纸本)1601320639

Recommendation accuracy is especially important in mobile e-commerce environments due to the limited screen size of mobile devices and relatively expensive connection costs. Mobile content tends to be fashionable and are geared for young users. This paper presents a novel method of building a more accurate recommender system for mobile content in a mobile ecommerce environment. The method is based on collaborative filtering, and models content diffusion and user preference transition and incorporates them in constructing pseudo ratings from implicit feedback data. In a variety of experiments, recommender systems based on the method showed significantly better recommendation accuracy than a pure collaborative filtering-based recommender system.

关键词： Collaborative filtering

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Continuous nonlinear programming techniques to solve scheduling problems 20

Continuous nonlinear programming techniques to solve schedul...

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20th International Conference EURO Mini Conference: Continuous Optimization and Knowledge-Based Technologies, EurOPT 2008

作者： Fagundez, Fabio Dias Xavier, Adílson Elias Facó, João Lauro Dorneles Federal University of Rio de Janeiro Cidade Universitária Bloco I-2000 2CENERGIA CT Rio de Janeiro Brazil Systems Engineering and Computer Science Program Federal University of Rio de Janeiro Cidade Universitária Bloco H CT Rio de Janeiro Brazil Department of Computer Science Federal University of Rio de Janeiro Rio de Janeiro Brazil

ISBN: (纸本)9789955282839

One of the most known applications of Discrete Optimization is on scheduling. In contrast, one of the most known applications of Continuous Nonlinear Optimization is on the control of dynamic systems. In this paper, we combine both views, solving scheduling problems as dynamic systems, modeled as discrete-time nonlinear optimal control problems with state and control continuous variables subjected to upper and lower bounds. The proposed formulation has the following advantages over discrete (mixedinteger) models: a smaller number of variables is employed, and no 0-1 variable is needed. Therefore, the scheduling problem can be solved as a standard continuous nonlinear program. Complementarity constraints are used to represent scheduling decisions, defining a nonconvex problem, which can be solved with Global Optimization (GO) and Nonlinear programming (NLP) methods. Applications with a continuous process background are discussed, such as the ones from petroleum and water & wastewater industries, because they pose challenging issues, with a combination of nonlinear and combinatorial aspects. One example we discuss in detail is the crude oil scheduling in ports, with tanks, pipelines, jetties, and tanker vessels and blending operations. The recent literature on this problem is rich in mixedinteger linear programming (MILP) models, therefore we developed a procedure to reformulate certain mixed-integer constraints as complementarity constraints, discarding the associated binary variables. The resulting NLP model is equivalent to the original MILP, in a sense that a feasible point in the NLP is also a feasible point in the MILP. A number of numerical cases are discussed to illustrate the validity of this approach. Despite obtaining good results with the NLP approach, we acknowledge that the MILP has the desirable feature of having only global optima, whereas the NLP is non-convex. Therefore, we present an hybrid NLP-MILP scheme that uses the NLP to generate new MILP inte

关键词： Integer programming

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Benchmarking comparison of thermal and diode sensors for pulsed power measurement

Benchmarking comparison of thermal and diode sensors for pul...

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ARFTG Conference

作者： Sivalingam Somasundaram Meena Charles Baylis Lawrence Dunleavy Center for Wireless and Microwave Information Systems Department of Electrical Engineering University of South Florida Tampa FL USA Wireless and Microwave Circuits and Systems Program Department of Electrical and Computer Engineering Baylor University Waco TX USA Modelithics Inc. Tampa Florida USA

A pulsed power system has been constructed to explore conditions under which accurate pulsed power measurements can be made with both a thermal sensor and a diode sensor. For the thermal sensor, pulsed power is estimated from a simple calculation based on the average power of the pulsed RF signal. For the diode sensor, gating is used to enable direct measurement of the pulsed power. As expected, the results of measurements taken with varying pulse lengths and a constant period show that the dynamic range of the thermal sensor is approximately proportional to the pulse length. The results also indicate that, while a thermal sensor can provide accurate results for many situations, the diode sensor can be used to measure with higher precision than the thermal sensor for lower duty cycles. The paper demonstrates a benchmarking procedure that can be used to explore limitations and capabilities of power sensors as well as elements such as the input RF switch used for pulsed power measurements.

关键词： Diodes Thermal sensors Pulse measurements Power measurement Pulse power systems Sensor systems Switches Power system measurements Length measurement Dynamic range

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Transactional WaveCache: Towards Speculative and Out-of-Order DataFlow Execution of Memory Operations

Transactional WaveCache: Towards Speculative and Out-of-Orde...

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International Symposium on computer Architecture and High Performance Computing (SBAC-PAD)

作者： Leandro A.J. Marzulo Felipe M.G. Franca Vítor Santos Costa Systems Engineering and Computer Science Program COPPE Universidade Federal do Rio de Janeiro Brazil Departmento de Ciência de Computadores Universidade do Porto Porto Portugal

The WaveScalar is the first dataflow architecture that can efficiently provide the sequential memory semantics required by imperative languages. This work presents a speculative memory disambiguation mechanism for this architecture, the transaction WaveCache. Our mechanism maintains the execution order of memory operations within blocks of code, called waves, but adds the ability to speculatively execute, out-of-order, operations from different waves. This mechanism is inspired by progress in supporting transactional memories. Waves are considered as atomic regions and executed as nested transactions. Wave that have finished the execution of all their memory operations are committed, as soon as the previous waves are also committed. If a hazard is detected in a speculative wave, all the following waves (children) are aborted and re-executed. We evaluated the transactional WaveCache on a set of benchmarks from Spec 2000, Mediabench and Mibench (telecomm). Speedups ranging from 1.31 to 2.24 (related to the original WaveScalar) where observed when the benchmark doesn't perform lots of emulated function calls or access memory very often. Low speedups of 1.1 to slowdowns of 0.96 were observed when the opposite happens or when the memory concurrency was high.

关键词： Out of order computer architecture Parallel processing High performance computing Telecommunications Concurrent computing Hardware Data engineering systems engineering and theory computer science

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The Third International Conference on human-robot interaction

The Third International Conference on human-robot interactio...

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作者： Fong, Terry Dautenhahn, Kerstin Scheutz, Matthias Demiris, Yiannis Intelligent Robotics Group NASA Ames Research Center Department of Artificial Intelligence School of Computer Science University of Herfordshire Herfordshire United Kingdom Adaptive Systems Research Group University of Herfordshire Herfordshire United Kingdom Department of Cognitive Science Computer Science and Informatics Cognitive Science Program Indiana University Bloomington IN United States Intelligent Robotics Team Department of Electrical Engineering Imperial College London London United Kingdom

The third international conference on Human-Robot Interaction (HRI-2008) was held in Amsterdam, The Netherlands, March 12-15, 2008. The theme of HRI-2008, "living with robots," highlights the importance of the technical and social issues underlying human-robot interaction with companion and assistive robots for long-term use in everyday life and work activities. More than 250 researchers, practitioners, and exhibitors attended the conference, and many more contributed to the conference as authors or reviewers. HRI-2009 will be held in San Diego, California, from March 11-13, 2009. Copyright © 2008, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： Human robot interaction

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Parallel self-organizing maps with application in clustering distributed data

Parallel self-organizing maps with application in clustering...

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International Joint Conference on Neural Networks (IJCNN)

作者： Flavius L. Gorgonio Jose Alfredo F. Costa Electrical Engineering and Computer Science Postgraduate Program Federal University of Rio Grande do Norte Natal Rio Grande do Norte Brazil Adaptive Systems Laboratory Electrical Engineering Department Federal University of Rio Grande do Norte Natal Rio Grande do Norte Brazil

Clustering is the process of discovering groups within multidimensional data, based on similarities, with a minimal, if any, knowledge of their structure. Distributed data clustering is a recent approach to deal with geographically distributed databases, since traditional clustering methods require centering all databases in a single dataset. Moreover, current privacy requirements in distributed databases demand algorithms with the ability to process clustering securely. Among the unsupervised neural network models, the self-organizing map (SOM) plays a major role. SOM features include information compression while trying to preserve the topological and metric relationship of the primary data space. This paper presents a strategy for efficient cluster analysis in geographically distributed databases using SOM networks. Local datasets relative to database vertical partitions are applied to distinct maps in order to obtain partial views of the existing clusters. Units of each local map are chosen to represent original data and are sent to a central site, which performs a fusion of the partial results. Experimental results are presented for different datasets.

关键词： Distributed databases Artificial neural networks Joints Conferences Iris Clustering methods Clustering algorithms

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DLM: A distributed Large Memory System using remote memory swapping over cluster nodes

DLM: A distributed Large Memory System using remote memory s...

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IEEE International Conference on Cluster Computing

作者： Hiroko Midorikawa Motoyoshi Kurokawa Ryutaro Himeno Mitsuhisa Sato Department of Computer and Information Science Seikei University Musashino Tokyo Japan Graduate School of Systems and Information Engineering University of Tsukuba Tennodai Tsukuba Ibaraki Japan Advanced Center of Computing and Communication Wako Saitama Japan Research Program for Computational Science RIKEN Wako Saitama Japan

Emerging 64 bitOSpsilas supply a huge amount of memory address space that is essential for new applications using very large data. It is expected that the memory in connected nodes can be used to store swapped pages efficiently, especially in a dedicated cluster which has a high-speed network such as 10 GbE and Infiniband. In this paper, we propose the distributed large memory system (DLM), which provides very large virtual memory by using remote memory distributed over the nodes in a cluster. The performance of DLM programs using remote memory is compared to ordinary programs using local memory. The results of STREAM, NPB and Himeno benchmarks show that the DLM achieves better performance than other remote paging schemes using a block swap device to access remote memory. In addition to performance, DLM offers the advantages of easy availability and high portability, because it is a user-level software without the need for special hardware. To obtain high performance, the DLM can tune its parameters independently from kernel swap parameters. We also found that DLMpsilas independence of kernel swapping provides more stable behavior.

关键词： Kernel Arrays Memory management Servers Bandwidth Performance evaluation Benchmark testing

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Proceedings of the 2008 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference

Proceedings of the 2008 MidSouth Computational Biology and B...

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作者： Wren, Jonathan D. Wilkins, Dawn Fuscoe, James C. Bridges, Susan Winters-Hilt, Stephen Gusev, Yuriy Arthritis and Immunology Research Program Oklahoma Medical Research Foundation 825 N.E. 13th Street Oklahoma City OK 73104-5005 United States Computer and Information Science Department The University of Mississippi University MS 38677 United States Center for Functional Genomics Division of Systems Toxicology National Center for Toxicological Research Jefferson AR 72079 United States Department of Computer Science and Engineering Mississippi State University Box 9637 Mississippi State MS 39762 United States Department of Computer Science University of New Orleans The Research Institute for Children 200 Henry Clay Ave. New Orleans LA 70118 United States Department of Surgery Health Sciences Center The University of Oklahoma Oklahoma City OK 73104 United States

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Analysis of Security Vulnerabilities and Countermeasures of Ethernet Passive Optical Network(EPON)

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China Communications 2007年第3期4卷 17-29页

作者： Stamatios V.Kartalopoulos Pramode K.Verma School of Electrical and Computer Engineering Telecommunications Systems Program University of Oklahoma-Tulsa Tulsa OK 74135 USA

Ethernet-based Passive Optical Network(EPON) is considered a very promising solution for the first mile problem of the next generation *** to its particular characteristic of shared media structure,EPON suffers many security vulnerabilities. Communication security must be guaranteed when EPON is applied in *** paper gives a general introduction to the EPON system,analyzes the potential threats and attacks pertaining to the EPON system,and presents effective countermea-sures against these threats and attacks with emphasis on the authentication protocols and key distribution.

关键词： EPON security vulnerabilities attacks countermeasures authentication protocols key distribution

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Automated evaluation of HER-2/neu immunohistochemical expression in breast cancer using digital microscopy

Automated evaluation of HER-2/neu immunohistochemical expres...

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IEEE International Symposium on Biomedical Imaging

作者： Marios A. Gavrielides Hela Masmoudi Nicholas Petrick Kyle J. Myers Stephen M. Hewitt Center for Devices and Radiological Health CDRH Laboratory for the Assessment of Medical Imaging Systems U.S Food and Drug Administration National Institute of Biomedical Imaging and BioEngineering Silver Spring MD USA U.S Food and Drug Administration Laboratory for the Assessment of Medical Imaging Systems Silver Spring MD U.S.A Department of Electrical and Computer Engineering The George Washington University Washington DC U.S.A Tissue Array Research Program National Institutes of Health MD U.S.A

HER-2/neu (HER2) has been shown to be a valuable biomarker for breast cancer. However, inter-observer variability has been reported in the evaluation of HER2 with immunohistochemistry. It has been suggested that automated computer-based evaluation can provide a consistent and objective measure of HER2 expression. In this manuscript, we present an automated method for the quantitative assessment of HER2 using digital microscopy. The method employs imaging algorithms on whole slide images of tissue specimens for the extraction of two features describing HER2 membrane staining, namely membrane staining completeness and membrane staining intensity. A classifier was trained to merge the extracted features into an overall slide assessment score. Preliminary results showed good agreement with the provided truth. The developed automated method has the potential to be used as a computer aid for the immunohistochemical evaluation of HER2 expression with the objective of increasing observer reproducibility.

关键词： Breast cancer Microscopy Biomembranes Immune system Biomarkers Medical treatment Biomedical imaging Clustering algorithms Cells (biology) Feature extraction

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