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作者： Cappelli, Claudia Santoro, Flávia Maria Nunes, Vanessa De Barros, Márcio O. Dutra, José Roberto Postgraduate Information Systems Program UNIRIO Av. Pasteur 458 Urca - Rio de Janeiro RJ Brazil COPPE/UFRJ Systems Engineering and Computer Science Program P.O. Box 68511 Rio de Janeiro RJ Brazil

ISBN: (纸本)9789898425065

Business processes modeling projects are increasingly widespread in organizations. Companies have several processes to be identified and modeled. They usually invest much in hiring expert consultants to do such job. However, they still find no guidelines to help them estimate how much a process modeling project will cost or how long this will take. We propose an approach to estimate the effort required to conduct a BPM project and discuss results obtained from over 50 projects in a large Brazilian company.

关键词： Process engineering

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Artificial intelligence for modelling infectious disease epidemics

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Nature 2025年第8051期638卷 623-635页

作者： Kraemer, Moritz U. G. Tsui, Joseph L.-H. Chang, Serina Y. Lytras, Spyros Khurana, Mark P. Vanderslott, Samantha Bajaj, Sumali Scheidwasser, Neil Curran-Sebastian, Jacob Liam Semenova, Elizaveta Zhang, Mengyan Unwin, H. Juliette T. Watson, Oliver J. Mills, Cathal Dasgupta, Abhishek Ferretti, Luca Scarpino, Samuel V. Koua, Etien Morgan, Oliver Tegally, Houriiyah Paquet, Ulrich Moutsianas, Loukas Fraser, Christophe Ferguson, Neil M. Topol, Eric J. Duchêne, David A. Stadler, Tanja Kingori, Patricia Parker, Michael J. Dominici, Francesca Shadbolt, Nigel Suchard, Marc A. Ratmann, Oliver Flaxman, Seth Holmes, Edward C. Gomez-Rodriguez, Manuel Schölkopf, Bernhard Donnelly, Christl A. Pybus, Oliver G. Cauchemez, Simon Bhatt, Samir Pandemic Sciences Institute University of Oxford Oxford United Kingdom Department of Biology University of Oxford Oxford United Kingdom Department of Electrical Engineering and Computer Science University of California Berkeley Berkeley CA United States UCSF UC Berkeley Joint Program in Computational Precision Health Berkeley CA United States Division of Systems Virology Department of Microbiology and Immunology The Institute of Medical Science The University of Tokyo Tokyo Japan Section of Epidemiology Department of Public Health University of Copenhagen Copenhagen Denmark Oxford Vaccine Group University of Oxford and NIHR Oxford Biomedical Research Centre Oxford United Kingdom Department of Epidemiology and Biostatistics Imperial College London London United Kingdom Department of Computer Science University of Oxford Oxford United Kingdom School of Mathematics University of Bristol Bristol United Kingdom MRC Centre for Global Infectious Disease Analysis School of Public Health Imperial College London London United Kingdom Department of Statistics University of Oxford Oxford United Kingdom Doctoral Training Centre University of Oxford Oxford United Kingdom Institute for Experiential AI Northeastern University MA Boston Thailand Santa Fe Institute Santa Fe NM United States World Health Organization Regional Office for Africa Brazzaville Congo WHO Hub for Pandemic and Epidemic Intelligence Health Emergencies Programme World Health Organization Berlin Germany Centre for Epidemic Response and Innovation (CERI) School for Data Science and Computational Thinking Stellenbosch University Stellenbosch South Africa African Institute for Mathematical Sciences (AIMS) South Africa Muizenberg Cape Town South Africa Genomics England London United Kingdom Scripps Research La Jolla CA United States Department of Biosystems Science and Engineering ETH Zürich Basel Switzerland Swiss Institute of Bioinformatics Lausanne Switzerland The Ethox Centre Nuffield

Infectious disease threats to individual and public health are numerous, varied and frequently unexpected. Artificial intelligence (AI) and related technologies, which are already supporting human decision making in economics, medicine and social science, have the potential to transform the scope and power of infectious disease epidemiology. Here we consider the application to infectious disease modelling of AI systems that combine machine learning, computational statistics, information retrieval and data science. We first outline how recent advances in AI can accelerate breakthroughs in answering key epidemiological questions and we discuss specific AI methods that can be applied to routinely collected infectious disease surveillance data. Second, we elaborate on the social context of AI for infectious disease epidemiology, including issues such as explainability, safety, accountability and ethics. Finally, we summarize some limitations of AI applications in this field and provide recommendations for how infectious disease epidemiology can harness most effectively current and future developments in AI. © Springer Nature Limited 2025.

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Performance evaluation of or-parallel logic programming systems on distributed shared-memory architectures

Performance evaluation of or-parallel logic programming syst...

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5th International Conference on Parallel Processing, Euro-Par 1999

作者： Calegario, Vanusa Menditi De Castro Dutra, Inês Empresa Municipal de Informática S/A Rio de Janeiro Brazil COPPE - Systems Engineering and Computer Science Federal University of Rio de Janeiro Brazil

ISBN: (纸本)3540664432

In this work we investigate how Distributed Shared Memory (DSM) architectures affect performance of or-parallel logic programming systems and how this performance approaches that of conventional C systems. Our work concentrates on basic performance, scalability, and programmability. We use execution-driven simulation of a hardware DSM (DASH) to investigate the access patterns and caching behaviour exhibited by parallel C programs and by Aurora, a parallel logic programming system capable of exploiting implicit parallelism in Prolog programs. Aurora was originally written to run on bus-based shared-memory platforms. © Springer-Verlag Berlin Heidelberg 1999.

关键词： C (programming language)

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Optimal Placement of Software Monitors Aiding Systematic Testing

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IEEE Transactions on Software engineering 1975年第4期SE-1卷 403-411页

作者： Ramamoorthy, C.V. Kim, K.H. Chen, W.T. Computer Science Division Department of Electrical Engineering and Computer Sciences University of California Berkeley Calif 94720 United States Department of Electrical Engineering Systems and Computer Science Program University of Southern California Los Angeles Calif. United States

The usefulness of software monitors in testing large ‘programs is discussed. Several types of testing strategies based on the use of monitors are surveyed. Since there is a computational overhead involved in employing monitors, attempts are made to minimize the number of monitors employed. This optimization problem is formulated and analyzed in graph-theoretic terms. Implementation aspects are considered through both discussion and examples. Copyright © 1975 by The Institute of Electrical and Electronics Engineers, Inc.

关键词： Optimal placement overhead program testing software monitor test-input test-output test-path test-run

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Advances in Artificial Intelligence - SBIA 2008 1

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丛书名： Lecture Notes in computer science

1000年

作者： Gerson Zaverucha Augusto Loureiro Costa

ISBN: (数字)9783540881902

ISBN: (纸本)9783540881896

This book constitutes the refereed proceedings of the 19th Brazilian Symposium on Artificial Intelligence, SBIA 2008, held in Salvador, Brazil, in October 2008. The 27 revised full papers presented together with 3 invited lectures and 3 tutorials were carefully reviewed and selected from 142 submissions. The papers are organized in topical sections on computer vision and pattern recognition, distributed AI: autonomous agents, multi-agent systems and game knowledge representation and reasoning, machine learning and data mining, natural language processing, and robotics.

关键词： programming Techniques programming Languages, Compilers, Interpreters Data Mining and Knowledge Discovery Artificial Intelligence Mathematical Logic and Formal Languages Computation by Abstract Devices

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On-line system identification using context discernment

On-line system identification using context discernment

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International Joint Conference on Neural Networks, IJCNN 2005

作者： Holmstrom, Lars Santiago, Roberto Lendaris, George G. NW Computational Intelligence Laboratory Portland State University Portland OR 97201 Systems Science Ph.D. Program Department of Systems Science and Electrical and Computer Engineering

ISBN: (纸本)0780390482

Mathematical models are often used in system identification applications. The dynamics of most systems, however, change over time and the sources of these changes cannot always be directly determined or measured. To maintain model accuracy, it is desirable to design system identifiers that can adapt to these dynamical shifts. We use reinforcement learning to train an agent to recognize dynamical changes in a modeled system and to estimate new parameter values for the model. The subsequent actions of this agent are characterized as "moving" the parameterized model on an optimal trajectory in model parameter space. It is found that this method is capable of quickly and accurately discerning the correct parameter values. © 2005 IEEE.

关键词： Identification (control systems)

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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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Hardware reuse in modern application-specific processors and accelerators

Hardware reuse in modern application-specific processors and...

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2011 14th Euromicro Conference on Digital System Design: Architectures, Methods and Tools, DSD 2011

作者： Nery, Alexandre S. Jozwiak, Lech Lindwer, Menno Cocco, Mauro Nedjah, Nadia França, Felipe M.G. LAM - Computer Architecture and Microelectronics Laboratory Systems Engineering and Computer Science Program COPPE Universidade Federal do Rio de Janeiro Brazil Department of Electronics Engineering and Telecommunications Faculty of Engineering Universidade do Estado do Rio de Janeiro Brazil Department of Electrical Engineering - Electronic Systems Eindhoven University of Technology Netherlands Silicon Hive - Intel UMG Netherlands

ISBN: (纸本)9780769544946

Effective exploitation of the application-specific parallel patterns and computation operations through their direct implementation in hardware is the base for construction of high-quality application-specific (re-) configurable application specific instruction set processors (ASIPs) and hardware accelerators for modern highly-demanding applications. Although it receives a lot of attention from the researchers and practitioners, a very important problem of hardware reuse in ASIP and accelerator synthesis is clearly underestimated and does not get enough attention in the published research. This paper is an effect of an industry and academic collaborative research. It analyses the problem of hardware sharing, shows its high practical relevance, as well as a big influence of hardware sharing on the major circuit and system parameters, and its importance for the multi-objective optimization and tradeoff exploitation. It also demonstrates that the state-of-the-art synthesis tools do not sufficiently address this problem and gives several guidelines related to enhancement of the hardware reuse. © 2011 IEEE.

关键词： Multiobjective optimization

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Towards using task similarity to recommend Stack Overflow posts 21

Towards using task similarity to recommend Stack Overflow po...

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21st Ibero-American Conference on Software engineering, CIbSE 2018

作者： Melo, Gláucia Telemaco, Ulisses Oliveira, Toacy Alencar, Paulo Cowan, Don COPPE – Systems Engineering and Computer Science Department UFRJ – Federal University of Rio de Janeiro Rio de Janeiro – RJ Brazil David R. Cheriton School of Computer Science University of Waterloo WaterlooON Canada

ISBN: (纸本)9789584837547

Software development depends on diverse technologies and methods and as a result, software development teams often handle issues in which team members are not experts. In order to address this lack of expertise, developers typically search for information on web-based Q&A sites such as Stack Overflow, a well-known place to find solutions to specific technology-related problems. The access to these web-based Q&A locations is currently not integrated into the software development environment, and because the associations between software development processes and the supporting sources of known solutions, usually referred to as knowledge, is not explicitly modeled and recorded, software developers often need to search for solutions to similar recurring issues multiple times. Moreover, this lack of integration hampers the implementation of a proactive recommender system that can point developers to knowledge that is relevant to their development processes. This research aims at proposing a solution that explicitly associates process elements (such as project tasks) to Stack Overflow posts and presents a recommender system that proactively recommends Stack Overflow posts to developers based on the similarity of project tasks. A literature review was used to find the concepts to define a meta-model for project tasks. This research paper advances the area of software development knowledge reuse by reporting on both the model and the results of experiments performed with real project development data. © 2018 Conferencia Iberoamericana de Software engineering - CIbSE. All Rights Reserved.

关键词： Recommender systems

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SpMT WaveCache: Exploiting Thread-Level Parallelism in WaveScalar

SpMT WaveCache: Exploiting Thread-Level Parallelism in WaveS...

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computer science and Information engineering, CSIE, WRI World Congress on FLAGGED

作者： Songwen Pei Baifeng Wu Min Du Gang Chen Leandro A.J. Marzulo Felipe M.G. Franca School of Computer Science Fudan University Shanghai China Systems Engineering and Computer Science Program COPPE Rio de Janeiro Brazil

Speculative multithreading (SpMT) increases the performance by means of executing multiple threads speculatively to exploit thread-level parallelism. By combining software and hardware approaches, we have improved the capabilities of previous WaveScalar ISA on the basis of transactional memory system for the WaveCache Architecture. Threads are extracted at the course of static compiling, and speculatively executed as a thread-level transaction that is supported by extra hardware components, such as thread-context-table (TCT) and thread-memory-history (TMH). We have evaluated the SpMT WaveCache with 6 real benchmarks from SPEC, Mediabench and Mibench. On the whole, the SpMT WaveCache outperforms superscalar architecture ranging from 2times to 3times, and great performance gains are achieved over original WaveCache and transactional WaveCache as well.

关键词： Yarn Parallel processing Multithreading Hardware computer science computer architecture Instruction sets Out of order program processors Protocols

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