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检索条件"任意字段=6th International Conference on Soft Computing Models in Industrial and Environmental Applications"

共 179 条记录，以下是151-160 订阅

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Combining genetic algorithms and the finite element method to improve steel industrial processes

Combining genetic algorithms and the finite element method t...

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6th international conference on soft computing models in industrial and environmental applications

作者： Sanz-Garcia, A. Pernia-Espinoza, A. V. Fernandez-Martinez, R. Martinez-de-Pison-Ascacibar, F. J. Univ La Rioja Dept Mech Engn Logrono 26004 Spain

Most of the times the optimal control of steel industrial processes is a very complicated task because of the elevated number of parameters to adjust. For that reason, in steel plants, engineers must estimate the best values of the operational parameters of processes, and sometimes, it is also necessary to obtain the appropriate model for steel material behaviour. this article deals with three successful experiences gained from genetic algorithms and the finite element method in order to solve engineering optimisation problems. On one hand, a fully automated method for determining the best material behaviour laws is described, and on the other hand we present a common methodology to find the most appropriate settings for two cases of improvement in steel industrial processes. the study of the three reported cases allowed us to show the reliability and effectiveness of combining both techniques. (C) 2012 Elsevier B.V. All rights reserved.

关键词： soft computing Optimisation problem Genetic algorithm industrial steel process Finite element method

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Comparison of wind effects on cooling towers for two different models

Comparison of wind effects on cooling towers for two differe...

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6th international conference on thermal Engineering theory and applications

作者： Mollabakhshi, Kamran Amidpour, Majid Khaleghinia, Jahanfar Kimiaghalam, Farshad Ghorbani, Bahram Tehran Iran K.N. Toosi University of Technology Tehran Iran Islamic Azad University Branch of Nour Nour Iran

ISBN: (纸本)9781926769080

Cooling towers are equipment devices commonly used to dissipate heat from power generation units, water-cooled refrigeration, air conditioning and industrial processes. For rigorous numerical analyses of the behavior of cooling towers, it is necessary to consider an accurate model which takes into account environmental conditions. In this paper, the effect of ground surface roughness around a power plant cooling towers has been investigated numerically for different wind velocities. the cooling towers are modeled with ground surface roughness and the results are compared with the second model which the ground assumed flat. Outlet water temperature of cooling towers and power loss are represented for different wind velocities. the results represent insignificant difference.

关键词： Cooling towers

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Toward a Spatially-Centered Approach to Integrate Heterogeneous and Multi-scales Urban Component models

Toward a Spatially-Centered Approach to Integrate Heterogene...

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10th international conference on Practical applications of Agents and Multi-Agent Systems

作者： Hassoumi, Ines Lang, Christophe Marilleau, Nicolas Temani, Moncef Ghedira, Khaled Zucker, Jean Daniel Univ Paris 06 IRD SOIE ISG F-75252 Paris 05 France Univ Franche Comte LIFC Besancon France Univ Paris 06 IRD UMI 209 UMMISCO F-75252 Paris 05 France Univ Tunis SOIE ISG Tunis Tunisia IRD UMI 209 UMMISCO Bondy France

ISBN: (纸本)9783642287855

this article addresses a model coupling based approach (i.e reusing and combining spatial models) for modeling and simulating complex systems. Our research is conducted by a land use program of Metouia city (Tunisia) for which administration would study (by simulations) different planning scenarios to identify strategies of industrial development. these simulations should take into account demographic, socio-economic and environmental factors. Many urban models are available but they do not integrate these three aspects. this limitation could be solved by a model coupling based approach. In this paper, from an analysis of models and approaches presented in the literature, we identify key points, needs and the basis of an approach to couple models. then, we introduce an original approach, based on agent paradigm, in which space is the coupling factor to interconnect heterogeneous models (mathematical models, stochastic models, individual based models, and so on). the pertinence of this coupling approach is also raised by the correlation to observe the impact of models on each other.

关键词： model coupling based approach multi-agent systems complex systems modeling spatial modeling urban systems urban dynamics

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Coffee transcriptome visualization based on functional relationships among gene annotations

Coffee transcriptome visualization based on functional relat...

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6th international conference on Practical applications of Computational Biology and Bioinformatics, PACBB'12

作者： Castillo, Luis F. Gómez-Ramírez, Oscar Galeano-Vanegas, Narmer Bertel-Paternina, Luis Isaza, Gustavo Gaitán-Bustamante, Álvaro Universidad de Caldas Departamento de Sistemas e Informática Manizales Colombia Universidad Nacional de Colombia Departamento Ing. Industrial Manizales Colombia Centro Nacional de Investigación del Café- CENICAFÉ Chinchina Colombia Universidad Autónoma de Manizales Grupo Investigación Ing. del Software Manizales Colombia

ISBN: (纸本)9783642288388

Simplified visualization and conformation of gene networks is one of the current bioinformatics challenges when thousands of gene models are being described in an organism genome. Bioinformatics tools such as BLAST and Interproscan build connections between sequences and potential biological functions through the search, alignment and annotation based on heuristic comparisons that make use of previous knowledge obtained from other sequences. this work describes the search procedure for functional relationships among a set of selected annotations, chosen by the quality of the sequence comparison as defined by the coverage, the identity and the length of the query, when coffee transcriptome sequences were compared against the reference databases UNIREF 100, Interpro, PDB and PFAM. Term descriptors for molecular biology and biochemistry were used along the wordnet dictionary in order to construct a Resource Description Framework (RDF) that enabled the finding of associations between annotations. Sequence-annotation relationships were graphically represented through a total of 6845 oriented vectors. A large gene network connecting transcripts by way of relational concepts was created with over 700 non-redundant annotations, that remain to be validated with biological activity data such as microarrays and RNAseq. this tool development facilitates the visualization of complex and abundant transcripotome data, opens the possibility to complement genomic information for data mining purposes and generates new knowledge in metabolic pathways analysis. © 2012 Springer-Verlag.

关键词： Visualization

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Real-Time Bayesian Inference: A soft computing Approach to environmental Learning for On-Line Robust Automatic Speech Recognition

Real-Time Bayesian Inference: A Soft Computing Approach to E...

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6th international conference on soft computing models in industrial and environmental applications

作者： Chowdhury, Md Foezur Rahman Selouani, Sid-Ahmed O'Shaughnessy, Douglas Univ Quebec INRS EMT Montreal PQ H3C 3P8 Canada Univ Moncton Moncton NB Canada

ISBN: (纸本)9783642196430

In this paper, we developed soft computing models for on-line automatic speech recognition (ASR) based on Bayesian on-line inference techniques. Bayesian on-line inference for change point detection (BOCPD) is tested for on-line environmental learning using highly non-stationary noisy speech samples from the Aurora2 speech database. Significant improvement in predicting and adapting to new acoustic conditions is obtained for highly non-stationary noises. the simulation results show that the Bayesian on-line inference-based soft computing approach would be one of the possible solutions to on-line ASR for real-time applications.

关键词： Bayesian networks

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Improving Steel industrial Processes Using Genetic Algorithms and Finite Element Method

Improving Steel Industrial Processes Using Genetic Algorithm...

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6th international conference on soft computing models in industrial and environmental applications

作者： Sanz-Garcia, Andres Lostado-Lorza, Ruben Pernia-Espinoza, Alpha Martinez-de-Pison-Ascacibar, Francisco J. Univ La Rioja Dept Mech Engn Logrono Spain

ISBN: (纸本)9783642196430

Steel industrial engineers must estimate optimal operational parameters of industrial processes and the correct model for complex material behaviour. Common practice has been to base these determinations on classic techniques, such as tables and theoretical calculations. In this paper three successful experiences combining finite element modelling with genetic algorithms are reported. On the one hand, two cases of improvement in steel industrial processes are explained;on the other hand, the efficient determination of realistic material behaviour laws is presented. the proposed methodology optimizes and fully automates these determinations. the reliability and effectiveness of combining genetic algorithms and the finite element method is demonstrated in all cases.

关键词： Genetic Algorithms optimization Finite Element Method Material Behaviour Model Straightening Process Tension Levelling Process

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Interactive Fuzzy Goal Programming Model Based on Differential Evolution for Regional Sustainability Development under Climate

Interactive Fuzzy Goal Programming Model Based on Differenti...

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6th international conference on soft computing models in industrial and environmental applications

作者： Soliman, Omar S. Sarker, Ruhul A. Cairo Univ Fac Comp & Informat Cairo Egypt UNSW ADFA Sch Engn & IT Canberra ACT 2600 Australia

ISBN: (纸本)9783642196430

In this paper, we present an interactive fuzzy non-linear goal programming (FNLGP) model to evaluate Regional sustainability development (RSD under climate change in agriculture sector.. A solution methodology of the FNLGP model is presented. A Differential Evolution (DE) algorithm with variable step length is designed and implemented to optimize the resulting FNLGP. the proposed FNLGP model is more flexible than conventional goal programming and it is capable of evaluating RSD under different climate change scenarios. It provides decision support tool to test different alternative policies based on the degree of uncertainty. Introducing fuzzy terms in the model provides an assessment to uncertainty associated with various climate change predictions and information ambiguity.

关键词： Differential evolution soft computing climate change RSD agriculture planning FNLGP

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An Efficient Hybrid soft computing Approach to the Generalized Vehicle Routing Problem

An Efficient Hybrid Soft Computing Approach to the Generaliz...

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6th international conference on soft computing models in industrial and environmental applications

作者： Pop, Petria Matei, Oliviu Valean, Honoriu North Univ Baia Mare Victoriei 76 Baia Mare Romania Tech Univ Cluj Napoca Cluj Napoca Romania

ISBN: (纸本)9783642196430

the generalized vehicle routing problem (GVRP) is one of the challenging combinatorial optimization problems that finds a lot of practical applications. the GVRP is a natural extension of the classical vehicle routing problem (VRP) and it is an NP-hard optimization problem belonging to the class of generalized combinatorial optimization problems. the aim of this paper is to present a new approach to tackle this complex problem. Combining this approach with a genetic algorithm results an efficient hybrid soft computing technique for solving the generalized vehicle routing problem. the proposed algorithm is competitive with other heuristics published to date in both solution quality and computation time. the computational results for several benchmarks problems are reported and the results point out that our proposed algorithm is an appropriate method to explore the search space of this complex problem and leads to good solutions in a reasonable amount of time.

关键词： Genetic algorithms

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Eco-Efficiency Measurement by Implementing DEA models with Weight Restrictions

Eco-Efficiency Measurement by Implementing DEA Models with W...

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6th international conference on soft computing models in industrial and environmental applications

作者： Zadeh, Amir Hassan Afshari, Hamid Salehi, Seyedmohammadhamed Fathi, Mehdi Zadeh, Azam Hassan Borna, Mona Akhavan Timar, Mahmood Amirkabir Univ Technol Dept Ind Engn Tehran Iran Ershad High Educ Inst Dept Management Sci Damavand Iran Urmia Univ Dept Human Sci Orumiyeh Iran

ISBN: (纸本)9783642196430

Nowadays, there is consensus on the fact that the sustainability, in which the international political debate constitute one of the most powerful concepts, opens entirely new opportunities for reaching higher levels of development. Sustainability development means making sure the social, economic and environmental needs of current generations are met and kept healthy for future generations. Increasing importance of sustainable development has lead eco-efficiency to find a specific position in literature. Efficiency is an index that measures management ability in optimal use of inputs for generating outputs. A unit can be more efficient if it produces 1) the same outputs with fewer inputs 2) more or better outputs for the same inputs. Data Envelopment Analysis (DEA) is one of the power efficient evaluation methods. In this paper, a new method is proposed for appraising eco-efficiency of manufacturing factories based on an extended DEA approach. the advantage of this model in contrast with current models in eco-efficiency is that DM can keep in perfect control the dispersal of weights. Finally, a case study is implemented by using simulated data in order to evaluate proposed model.

关键词： Sustainability Development Eco-efficiency Measurement Data Envelopment Analysis DEA Weight Restrictions Desirable Outputs Undesirable Outputs

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A climatologycal analysis by means of soft computing models

A climatologycal analysis by means of soft computing models

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6th international conference on soft computing models in industrial and environmental applications, SOCO 2011

作者： Arroyo, Ángel Corchado, Emilio Tricio, Verónica Department of Civil Engineering University of Burgos c/Francisco de Vitoria s/n Burgos 09006 Spain Department of Computer Science and Automatic University of Salamanca Plaza de La Merced s/n Salamanca 37008 Spain Department of Physics University of Burgos Burgos Spain

ISBN: (纸本)9783642196430

this research analyzes the meteorological conditions of four different places in Spain. the case study is based on real data provided by the AEMET (Meteorological Spanish Agency) in 2009. thirteen variables with atmospheric conditions are considered. Different Statistical and soft computing models are applied to show the great variability of the environmental conditions in the four well selected places. the results are confirmed by the Annual environmental Summarized 2009 provided by the AEMET. © 2011 Springer-Verlag Berlin Heidelberg.

关键词： Neural networks

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