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17th International Conference Scientific and Statistical Database Management, SSDBM 2005

作者： De Brito, Halisson Matos Strauch, Julia De Souza, Jano Moreira Osthoff, Carla COPPE/UFRJ Systems Engineering and Computer Science Program Federal University of Rio de Janeiro PO Box 68511 ZIP Code: 21945-970 Rio de Janeiro RJ Brazil ENCE /IBGE National School of Statistical Sciences 106 S. 401 ZIP Code: 20231-050 R. André Cavalcanti Rio de Janeiro RJ Brazil LNCC National Laboratory for Scientific Computing Av. Getulio 333 Quitandinha Vargas Petrópolis RJ Brazil IM/UFRJ Institute of Mathematics Federal University of Rio de Janeiro PO Box 68511 ZIP Code: 21945-970 Rio de Janeiro RJ Brazil

This paper presents MODENA, an architecture for scientific models management using Computational Grid platform. This architecture is comprised of two systems: ModManager and ModRunner. ModManager deals with knowledge management about scientific models, acting as a scientific models library allowing for cataloguing, searching, reutilization and generation of new models. To achieve this, a metamodel is proposed to classify models, in order to support the organization, searching and retrieving of models. ModRunner manages the execution of models in a Grid environment allowing for model composition to generate a scientific Grid Workflow to be executed by distributed services offered by Grid Services. An initial prototype of ModManager is presented.

关键词： Knowledge management

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Appointments for 2005-2006 term

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IEEE Transactions on Very Large Scale Integration (VLSI) systems 2005年第7期13卷 773-782页

作者： Ranganathan, Nagarajan Agrawal, Vishwani D. Chakradhar, Srimat T. Chakrabarty, Krishnendu Courtois, Bernard DeMara, Ronald Hu, Xiaobo Sharon Ismail, Yehea I. Jha, Niraj K. John, Lizy Kurian Ker, Ming-Dou Koren, Israel Liu, Bin-Da Marculescu, Diana Marculescu, Radu Narayanan, Vijaykrishnan Nassif, Sani R. Nowick, Steven M. Sapatnekar, Sachin S. Sherlekar, Sunil Sylvester, Dennis Vemuri, Ranga Pham, Michael Department of Computer Science and Engineering University of South Florida Tampa FL 33620 United States Department of Computer Science and Engineering Nanomaterials and Nanomanufacturing Research Center University of South Florida Tampa United States IEEE United States Systems United States Department of Electrical and Computer Engineering Rutgers University New Brunswick NJ United States IETE India ACM NEC Laboratories America Inc. Princeton NJ United States Duke University Durham NC United States ACM SIGDA Sigma Xi United States Laboratory of Techniques of Informatics and Microelectronics for Computer Architectecture ASME IMAPS IEEE Computer Society University of Central Florida Orlando United States Computer Engineering Program SEECS Department of Computer Science and Engineering University of Notre Dame Notre Dame IN United States Northwestern University Evanston IL United States Department of Electrical Engineering Princeton University Princeton NJ United States Association for Computing Machinery Austin United States UT Austin Engineering Foundation United States Department of Electronics Engineering National Chiao-Tung University Taiwan Department of Electrical and Computer Engineering University of Massachusetts Amherst United States Department of Electrical Engineering Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA United States Electrical and Computer Engineering Faculty Carnegie Mellon University Pittsburgh PA United States Computer Science and Engineering Department Pennsylvania State University University Park United States IBM Austin Research Laboratory Austin TX United States Columbia University New York NY United States Department of Electrical and Computer Engineering University of Minnesota Minneapolis United States Tata Consultancy Services Centre of Excellence for Embedded Systems India Department of Electrical Engineering IIT Bombay India Department of Electrical Engineering Uni

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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

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A computational framework for supporting software inspections 04

A computational framework for supporting software inspection...

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IEEE International Conference on Automated Software engineering (ASE)

作者： M. Kalinowski G.H. Travassos Systems Engineering and Computer Science COPPE/UFRJ Brazil

ISBN: (纸本)9780769521312

Software inspections improve software quality by the analysis of software artifacts, detecting their defects for removal before these artifacts are delivered to the following software life cycle activities. Some knowledge regarding software inspections have been acquired by empirical studies. However, we found no indication that computational support for the whole software inspection process using appropriately such knowledge is available. This paper describes a computational framework whose requirements set was derived from knowledge acquired by empirical studies to support software inspections. To evaluate the feasibility of such framework, two studies have been accomplished: one case study, which has shown the feasibility of using the framework to support inspections, and an experimental study that evaluated the supported software inspection planning activity. Preliminary results of this experimental study suggested that unexperienced subjects are able to plan inspections with higher defect detection effectiveness, and in less time, when using this computational framework.

关键词： Inspection Software quality Proposals systems engineering and theory computer science Costs Decision making Software performance Processor scheduling Guidelines

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Cooperation for Creativity in Design

Cooperation for Creativity in Design

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The 8th International Conference on computer Supported Cooperative Work in Design(第八届计算机支持的协同工作设计国际会议)(CSCWD2004)

作者： Adriana Vivacqua Jano de Souza COPPE-Graduate School of Engineering Computer Science Program COPPE-Graduate School of Engineering Computer Science Program DCC/IM-Institute of Mathematics UFRJ-F

Creativity has become an important asset in today'sfast changing environment. It is especially important indesign, which demands innovative solutions for *** believe that creativity can and should beencouraged in work groups. In this paper, we proposea framework for supporting creativity in problemsolving. Through the use of problem, domain and usermodels and information retrieval and agent technology,we hope to support creative cooperative work.

关键词： Collaborative work computer science Mathematics Problem-solving Information retrieval Knowledge management Environmental economics Organizing Product design Writing

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Tool-supported unobtrusive evaluation of software engineering process conformance

Tool-supported unobtrusive evaluation of software engineerin...

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International Symposium on Empirical Software engineering (ISESE)

作者： L.F.S. Silva G.H. Travassos Systems Engineering and Computer Science COPPE Universidade Federal do Rio de Janeiro Brazil

Software engineers face the dilemma of verifying process conformance and having the Hawthorne effect distorting the results or not doing it and as a consequence not being able to know if the proposed process is actually carried out. We addressed this issue by classifying and proposing the use of some approaches based on unobtrusive observation. These approaches include cognitive labs, remote monitoring and metrics collection. In addition, a tool supporting the application of perspective based reading (PER) for requirements inspection has been used and is also presented to exemplify metrics collection. Among other features, PBR Tool unobtrusively collects metrics in order to monitor if the reading technique is faithfully applied. Two studies evaluating the feasibility of such a tool are also reported.

关键词： Software engineering Bioreactors Productivity Remote monitoring systems engineering and theory computer science Inspection Fault detection Noise generators Signal to noise ratio

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Improving the performance of the RISE algorithm

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8th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2004

作者： de Pina, Aloísio Carlos Zaverucha, Gerson Universidade Federal do Rio de Janeiro COPPE/PESC Department of Systems Engineering and Computer Science C.P. 68511 Rio de JaneiroRJCEP. 21945-970 Brazil

ISBN: (纸本)3540231080

RISE is a well-known multi-strategy learning algorithm that combines rule induction and instance-based learning. It achieves higher accuracy than some state-of-the-art learning algorithms, but for large data sets it has a very high average running time. This work presents the analysis and experimental evaluation of SUNRISE, a new multi-strategy learning algorithm based on RISE, developed to be faster than RISE with similar accuracy. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Learning algorithms

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Fuzzy hidden Markov predictor in electric load forecasting

Fuzzy hidden Markov predictor in electric load forecasting

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International Joint Conference on Neural Networks (IJCNN)

作者： M.A. Teixeira G. Zaverucha Systems Engineering and Computer Science-COPPE Federal University of Rio de Janeiro Rio de Janeiro Brazil

We present a new hybrid system that merges fuzzy logic with dynamic Bayesian networks (DBN's): the fuzzy hidden Markov predictor. It is a modification of the hidden Markov model, a particular case of DBN's, in order to enable it to predict continuous values of a time series. A DBN is a Bayesian network that represents a temporal probability model. This hybrid system is applied to the task of monthly electric load single-step forecasting and successfully compared with three regression-by-discretization systems, two fuzzy hybrid systems, two Kalman filter models, and Box-Jenkins and Winters exponential smoothing. The employed time series present a sudden significant changing behavior at their last years, as it occurs in an energy rationing.

关键词： Hidden Markov models Load forecasting Bayesian methods Fuzzy systems Predictive models Random variables Fuzzy logic Smoothing methods Machine learning Pattern recognition

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WebComposer: a tool for the composition and execution of Web service-based workflows

WebComposer: a tool for the composition and execution of Web...

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Proceedings of the Latin American Web Congress (LA-Web)

作者： L.A.G. da Costa P.F. Pires M. Mattoso COPPE-Systems Engineering and Computer Science Program Federal University of Rio de Janeiro Rio de Janeiro Brazil DCC-IM/NCE Federal University of Rio de Janeiro Rio de Janeiro Brazil

We present the WebComposer tool for the automatic composition and execution of Web service-based workflows. We use ontologies to describe and browse workflows. We associate messages and operations with workflow domain concepts using WSDL extensibility. The automatic workflow implementation through WebComposer enables the full separation of the workflow logic and the implementation technology. WebComposer provides the execution of ad-hoc programs by users and the automatic maintenance of these programs, as the available Web services are altered.

关键词： Web services Ontologies Software agents Automatic logic units Semantic Web systems engineering and theory computer science Web sites Information resources Application software

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Automatic composition of Web services with contingency plans

Automatic composition of Web services with contingency plans

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IEEE International Conference on Web Services (ICWS)

The semantic Web technology and the Web services description language extensibility may be combined to describe services in an unambiguous and machine interpretable way, automating Web services discovery, selection and invocation. In this paper, we present an algorithm and a prototype for the automatic composition of Web services that implement workflows described in a high level language. Our approach has many advantages comparing to the manual creation of a simple program composition, such as smaller implementation time and cost, reliability with the generation of contingency plans, greater capacity to evolve with the dynamic service discovery, and faster execution time with the use of heuristics. We use the OWLS ontology to semantically describe Web services metadata and indexes to help selecting them. The proposed algorithm considers that equivalent services may have different interfaces and also respects preferences of the users.

关键词： Web services Semantic Web Ontologies programming profession Prototypes Robustness systems engineering and theory computer science High level languages Costs

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