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检索条件"机构=COPPE Systems Engineering Program"
118 条 记 录,以下是111-120 订阅
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Distributed shared memory in kernel mode
Distributed shared memory in kernel mode
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International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)
作者: T.S. Trevisan V.S. Costa L. Whately C.L. Amorim COPPE Systems Engineering Program Federal University of Rio de Janeiro Brazil Brazil COPPE Systems Engineering Program Federal University of Rio de Janeiro Brazil
In this paper we introduce MOMEMTO (MOre MEMory Than Others) a new set of kernel mechanisms that allow users to have full control of the distributed shared memory on a cluster of personal computers. In contrast to man... 详细信息
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Validating an unsupervised weightless perceptron
Validating an unsupervised weightless perceptron
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International Conference on Neural Information Processing
作者: I. Wickert F.M.G. Franca Computer Systems Engineering Program COPPE-UFRJ Rio de Janeiro Brazil
The paper presents a comparison between two unsupervised neural network models: (i) the well-known fuzzy ART, and (ii) AUTOWISARD, a new unsupervised version of the classic WISARD weightless neural network model. It i... 详细信息
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GloVE: a distributed environment for low cost scalable VoD systems
GloVE: a distributed environment for low cost scalable VoD s...
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International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)
作者: L.B. Pinho C.L. Amorim E. Ishikawa COPPE Systems Engineering Program Federal University of Rio de Janeiro Rio de Janeiro Brazil Systems Engineering Department Military Institute of Engineering Rio de Janeiro Brazil
In this paper we introduce a scalable Video-on-Demand (VoD) system called GloVE (Global Video Environment) in which active clients cooperate to create a shareable video cache that is used as the primary source of vide... 详细信息
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Fuzzy Markov predictor in electric load forecasting
Fuzzy 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 Program Federal University of Rio de Janeiro Brazil Systems Engineering and Computer Science Program E28093 Graduate Programs in Engineering (COPPE) Federal University of Rio de Janeiro Brazil
We present the fuzzy Markov predictor (FMP), a hybrid system that is applied to the task of monthly electric load forecasting. The FMP is a modification we introduce in the hidden Markov model in order to enable it to... 详细信息
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AUTO WIS ARD: Unsupervised modes for the WISARD
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6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001
作者: Wickert, Iuri Fraņca, Felipe M. G. Computer Systems Engineering Program - COPPE UFRJ Caixa Postal 68511 21945-970 Rio de Janeiro RJ Brazil
This work in traducest wo new unsupervised learning algorithms based on the WISARD weightless neural classifier model. The first one, the standard AUTOWISARD model, is able to perform fast one-shot, learning of unsort... 详细信息
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Fuzzy Bayes predictor in electric load forecasting
Fuzzy Bayes predictor in electric load forecasting
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International Joint Conference on Neural Networks (IJCNN)
作者: M.A. Teixeira G. Zaverucha V.N.A.L. da Silva G.F. Ribeiro Systems Engineering and Computer Science Program Graduate Programs in Engineering COPPE Federal University of Rio de Janeiro Brazil Electric Power Research Center CEPEL CEPEL Brazil
We present the fuzzy Bayes predictor (FBP), a hybrid system for the task of monthly electric load forecasting. The FBP is a modification we introduce in the naive Bayes classifier in order to enable it to predict nume... 详细信息
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Elastic neural net algorithm for cluster analysis
Elastic neural net algorithm for cluster analysis
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Brazilian Symposium on Neural Networks
作者: R.L. Salvini L.A. V. de Carvalho Program of Systems Engineering and Computer Science COPPE/UFRJ Rio de Janeiro Brazil
Proposes a method for data clustering in a n-dimensional space using the elastic net algorithm which is a variant of the Kohonen topographic map learning algorithm. The elastic net algorithm is a mechanical metaphor i... 详细信息
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Industry Transformations for High Service Provisioning with Lower Energy and Material Demand: A Review of Models and Scenarios
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Environment and Resources 1000年 第1期49卷 249-279页
作者: Dominik Wiedenhofer Jan Streeck Frauke Wiese Elena Verdolini Alessio Mastrucci Yiyi Ju Benigna Boza-Kiss Jihoon Min Jonathan Norman Hanspeter Wieland Nuno Bento María Fernanda Godoy León Leticia Magalar Andreas Mayer Simone Gingrich Ayami Hayashi Joni Jupesta Gamze Ünlü Leila Niamir Tao Cao Marianne Zanon-Zotin Barbara Plank Johan Vélez-Henao Eric Masanet Volker Krey Keigo Akimoto Arnulf Grubler Bas van Ruijven Stefan Pauliuk 1Institute of Social Ecology University of Natural Resources and Life Sciences Vienna Austria email: Dominik.Wiedenhofer@boku.ac.at 2Department for Sustainable Energy Transition Europa-Universität Flensburg Flensburg Germany 3Law Department University of Brescia Brescia Italy 4Euro-Mediterranean Center on Climate Change (CMCC Foundation) Lecce Italy 5RFF-CMCC European Institute on Economics and the Environment Milan Italy 6International Institute for Applied Systems Analysis Laxenburg Austria 7Waseda Institute for Advanced Study Tokyo Japan 8Institute for Future Initiatives University of Tokyo Tokyo Japan 9School of Earth and Environment University of Leeds Leeds United Kingdom 10University Institute of Lisbon (ISCTE) Lisbon Portugal 11Faculty of Bioscience Engineering Ghent University Ghent Belgium 12Centre for Energy and Environmental Economics (Cenergia) Energy Planning Program (PPE) COPPE Universidade Federal do Rio de Janeiro Rio de Janeiro Brazil 13Department of Geography University of Innsbruck Innsbruck Austria 14Research Institute of Innovative Technology for the Earth Kizugawa Japan 15Institute for the Advanced Study of Sustainability United Nations University Shibuya Japan 16Copernicus Institute of Sustainable Development Utrecht University Utrecht Netherlands 17Faculty of Environment and Natural Resources University of Freiburg Freiburg Germany 18Bren School of Environmental Science and Management University of California Santa Barbara California USA 19Department of Energy and Process Engineering Norwegian University of Science and Technology Trondheim Norway
Developing transformative pathways for industry's compliance with international climate targets requires model-based insights into how supply- and demand-side measures affect industry, material cycles, global... 详细信息
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