Pub Date : 2010-12-01DOI: 10.1007/978-3-642-11282-9_4
J. Abonyi
{"title":"Supervised Fuzzy Clustering Based Initialization of Fuzzy Partitions for Decision Tree Induction","authors":"J. Abonyi","doi":"10.1007/978-3-642-11282-9_4","DOIUrl":"https://doi.org/10.1007/978-3-642-11282-9_4","url":null,"abstract":"","PeriodicalId":287132,"journal":{"name":"Online World Conference on Soft Computing in Industrial Applications","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116483995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-12-01DOI: 10.1007/978-3-642-11282-9_13
Z. Bankó, J. Abonyi
{"title":"Dynamic Time Warping of Segmented Time Series","authors":"Z. Bankó, J. Abonyi","doi":"10.1007/978-3-642-11282-9_13","DOIUrl":"https://doi.org/10.1007/978-3-642-11282-9_13","url":null,"abstract":"","PeriodicalId":287132,"journal":{"name":"Online World Conference on Soft Computing in Industrial Applications","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132591065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-02-12DOI: 10.1007/978-3-642-11282-9_19
Maryam Vatankhah, M. Akbarzadeh-Totonchi, A. Moghimi, V. Asadpour
{"title":"GA/SVM for Diagnosis Sleep Stages Using Non-linear and Spectral Features","authors":"Maryam Vatankhah, M. Akbarzadeh-Totonchi, A. Moghimi, V. Asadpour","doi":"10.1007/978-3-642-11282-9_19","DOIUrl":"https://doi.org/10.1007/978-3-642-11282-9_19","url":null,"abstract":"","PeriodicalId":287132,"journal":{"name":"Online World Conference on Soft Computing in Industrial Applications","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133437517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2009-12-13DOI: 10.1109/WSC.2009.5429645
M. Zakerifar, W. Biles, G. Evans
This paper describes an experiment exploring the potential of kriging metamodeling for multi-objective simulation optimization. The experiment studies an (s, S) inventory system with the objective of finding the optimal values of reorder point s and maximum inventory level S so as to minimize the total cost of the system while maximizing customer satisfaction. This experiment compares classical response surface methodology to kriging metamodeling as experimental approaches. The results of this experiment indicate that kriging metamodeling offers new opportunities for solving multi-objective optimization problems in stochastic simulation.
{"title":"Kriging Metamodeling in Multi-objective Simulation Optimization","authors":"M. Zakerifar, W. Biles, G. Evans","doi":"10.1109/WSC.2009.5429645","DOIUrl":"https://doi.org/10.1109/WSC.2009.5429645","url":null,"abstract":"This paper describes an experiment exploring the potential of kriging metamodeling for multi-objective simulation optimization. The experiment studies an (s, S) inventory system with the objective of finding the optimal values of reorder point s and maximum inventory level S so as to minimize the total cost of the system while maximizing customer satisfaction. This experiment compares classical response surface methodology to kriging metamodeling as experimental approaches. The results of this experiment indicate that kriging metamodeling offers new opportunities for solving multi-objective optimization problems in stochastic simulation.","PeriodicalId":287132,"journal":{"name":"Online World Conference on Soft Computing in Industrial Applications","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123527352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2009-12-13DOI: 10.1109/WSC.2009.5429717
D. Zee
In recent years development of formal approaches for modeling and simulation of manufacturing systems received significant attention. Approaches building on alternative Petri Nets formalisms show essential strengths in accurately capturing both a system's static structure and its dynamics, availability of mathematical analysis methods, and graphical representation. However, models of realistic systems are often perceived as too large and complex to understand by project stakeholders. This hinders their participation in modeling, and solution finding, and may influence their perception of model credibility. In this article we address this issue by considering a structured approach for embodying high-level manufacturing concepts. The approach aims at creating more insightful simulation models by building on sound and explicit conceptualization, i.e., the choice of manufacturing concepts, and clear rules for their formalization, i.e., their mapping on elementary model components. We adopted the Petri Nets based tool ExSpectTM to illustrate and evaluate our approach.
{"title":"Building Insightful Simulation Models using Formal Approaches - A Case Study on Petri Nets","authors":"D. Zee","doi":"10.1109/WSC.2009.5429717","DOIUrl":"https://doi.org/10.1109/WSC.2009.5429717","url":null,"abstract":"In recent years development of formal approaches for modeling and simulation of manufacturing systems received significant attention. Approaches building on alternative Petri Nets formalisms show essential strengths in accurately capturing both a system's static structure and its dynamics, availability of mathematical analysis methods, and graphical representation. However, models of realistic systems are often perceived as too large and complex to understand by project stakeholders. This hinders their participation in modeling, and solution finding, and may influence their perception of model credibility. In this article we address this issue by considering a structured approach for embodying high-level manufacturing concepts. The approach aims at creating more insightful simulation models by building on sound and explicit conceptualization, i.e., the choice of manufacturing concepts, and clear rules for their formalization, i.e., their mapping on elementary model components. We adopted the Petri Nets based tool ExSpectTM to illustrate and evaluate our approach.","PeriodicalId":287132,"journal":{"name":"Online World Conference on Soft Computing in Industrial Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125577467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-12-09DOI: 10.1109/WSC.2007.4419904
A. V. D. Merwe
Summary form only given. Sasol, the world leader in coal to fuels, is embarking on a major growth program integrating new and existing technologies into its current facilities. This program will increase production capacity, improve energy efficiency, and enable compliance to expected future environmental and fuel specifications. The program will affect the entire production site and is of a very complex nature. This presentation discusses examples where the impact on the integrated refinery and propylene value chain operations are tested by means of a discrete-event simulation model to determine infrastructure and capacity constraints. Interactions between units and across value chains are taken into consideration. The presentation further discusses the use of the decision making tool for determining advantages and concerns of possible technologies for debottlenecking options for the current operating units.
{"title":"Stochastic modelling as a decision making tool in an integrated green-brown fields growth program at the Sasol Secunda site, South Africa","authors":"A. V. D. Merwe","doi":"10.1109/WSC.2007.4419904","DOIUrl":"https://doi.org/10.1109/WSC.2007.4419904","url":null,"abstract":"Summary form only given. Sasol, the world leader in coal to fuels, is embarking on a major growth program integrating new and existing technologies into its current facilities. This program will increase production capacity, improve energy efficiency, and enable compliance to expected future environmental and fuel specifications. The program will affect the entire production site and is of a very complex nature. This presentation discusses examples where the impact on the integrated refinery and propylene value chain operations are tested by means of a discrete-event simulation model to determine infrastructure and capacity constraints. Interactions between units and across value chains are taken into consideration. The presentation further discusses the use of the decision making tool for determining advantages and concerns of possible technologies for debottlenecking options for the current operating units.","PeriodicalId":287132,"journal":{"name":"Online World Conference on Soft Computing in Industrial Applications","volume":"54 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130434367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-12-09DOI: 10.1109/WSC.2007.4419881
Alain de Norman et d'Audenhove, B. Barros
Summary form only given. The objective of this paper is to present the development of a simulation model involving materials handling in a large steel company from Arcelor Group. The project had a return of more than 2 million USD and points to a kind of application that seems to be a typical case where static analysis may cause great errors comparing to a dynamic one (because the results were also observed in another Brazilian steel company). The project focused in the processes involving pig iron transportation between the blast furnaces and its discharge in the steelmaking plant. It allowed the evaluation of several operational parameters such as for the 7.5 Mt/year production rhythm, a great increase from the actual production of 5 Mt/year. "Bottlenecks" in the flow were identified through the results and the scenarios gave the support to the decision of increasing the number of torpedo-cars and locomotives in the system.
{"title":"Simulation of the pig iron transportation system in Companhia Siderurgica de Tubarão","authors":"Alain de Norman et d'Audenhove, B. Barros","doi":"10.1109/WSC.2007.4419881","DOIUrl":"https://doi.org/10.1109/WSC.2007.4419881","url":null,"abstract":"Summary form only given. The objective of this paper is to present the development of a simulation model involving materials handling in a large steel company from Arcelor Group. The project had a return of more than 2 million USD and points to a kind of application that seems to be a typical case where static analysis may cause great errors comparing to a dynamic one (because the results were also observed in another Brazilian steel company). The project focused in the processes involving pig iron transportation between the blast furnaces and its discharge in the steelmaking plant. It allowed the evaluation of several operational parameters such as for the 7.5 Mt/year production rhythm, a great increase from the actual production of 5 Mt/year. \"Bottlenecks\" in the flow were identified through the results and the scenarios gave the support to the decision of increasing the number of torpedo-cars and locomotives in the system.","PeriodicalId":287132,"journal":{"name":"Online World Conference on Soft Computing in Industrial Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129008956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The simulation of manufacturing processes mainly focuses on the structure of machinery resources and the flow of material, but the inclusion of the personnel in the simulation model is only slowly gaining in importance. When personnel resources are modelled, merely the operative tasks are represented. However, as a result of modern manufacturing concepts, worker decisions at a workshop level are becoming more and more important. This article deals with various concepts for the modelling of human decisions in manufacturing systems, namely from human decision makers as passive resources over the modelling of decisions based on global rules to the modelling of active decision makers with individual, locally valid decisionmaking rules. Each of these various types of modelling will be elucidated using an application example.
{"title":"Modelling and simulation of human decision-making in manufacturing systems","authors":"G. Zülch","doi":"10.1109/WSC.2006.323180","DOIUrl":"https://doi.org/10.1109/WSC.2006.323180","url":null,"abstract":"The simulation of manufacturing processes mainly focuses on the structure of machinery resources and the flow of material, but the inclusion of the personnel in the simulation model is only slowly gaining in importance. When personnel resources are modelled, merely the operative tasks are represented. However, as a result of modern manufacturing concepts, worker decisions at a workshop level are becoming more and more important. This article deals with various concepts for the modelling of human decisions in manufacturing systems, namely from human decision makers as passive resources over the modelling of decisions based on global rules to the modelling of active decision makers with individual, locally valid decisionmaking rules. Each of these various types of modelling will be elucidated using an application example.","PeriodicalId":287132,"journal":{"name":"Online World Conference on Soft Computing in Industrial Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116341857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The objective of this paper is to present the development of a simulation model involving materials handling in a large steel company from Arcelor Group. The project had a return of more than 2 million USD and points to a kind of application that seems to be a typical case where static analysis may cause great errors comparing to a dynamic one (because the results were also observed in another Brazilian steel company). The project focused in the processes involving pig iron transportation between the blast furnaces and its discharge in the steelmaking plant. It allowed the evaluation of several operational parameters such as for the 7.5 Mt/year production rhythm, a great increase from the actual production of 5 Mt/year. "Bottlenecks" in the flow were identified through the results and the scenarios gave the support to the decision of increasing the number of torpedo-cars and locomotives in the system.
{"title":"Simulation of the Pig Iron transportation system in companhia siderurgica tubarao: Arcelor group","authors":"Alain de Norman et d'Audenhove","doi":"10.1109/WSC.2006.323096","DOIUrl":"https://doi.org/10.1109/WSC.2006.323096","url":null,"abstract":"The objective of this paper is to present the development of a simulation model involving materials handling in a large steel company from Arcelor Group. The project had a return of more than 2 million USD and points to a kind of application that seems to be a typical case where static analysis may cause great errors comparing to a dynamic one (because the results were also observed in another Brazilian steel company). The project focused in the processes involving pig iron transportation between the blast furnaces and its discharge in the steelmaking plant. It allowed the evaluation of several operational parameters such as for the 7.5 Mt/year production rhythm, a great increase from the actual production of 5 Mt/year. \"Bottlenecks\" in the flow were identified through the results and the scenarios gave the support to the decision of increasing the number of torpedo-cars and locomotives in the system.","PeriodicalId":287132,"journal":{"name":"Online World Conference on Soft Computing in Industrial Applications","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116091476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
There have been many research works on epidemic spreading using mathematical or simulation methods. However, to make it practical as a decision support tool for the policy maker, it needs to be combined with business operation of epidemic control. Thus, an alert and response framework covering outbreak detection, policy analysis, and policy execution is proposed in this work. Key technologies for such a framework at the modeling, analysis, and data collection aspects are discussed. Sensitivity analysis is proposed for model verification and confidence analysis. Critical point identification is another important topic for control policy making by network topology analysis. The importance and feasibility of these technologies are illustrated by the experiment on Beijing SARS (Severe Acute Respiratory Syndrome) data in 2003.
{"title":"Epidemics alert & response framework and technology based on spreading dynamics simulation","authors":"C. Tian, Xun Zhang, Wei Ding, Rongzeng Cao","doi":"10.1109/WSC.2006.323056","DOIUrl":"https://doi.org/10.1109/WSC.2006.323056","url":null,"abstract":"There have been many research works on epidemic spreading using mathematical or simulation methods. However, to make it practical as a decision support tool for the policy maker, it needs to be combined with business operation of epidemic control. Thus, an alert and response framework covering outbreak detection, policy analysis, and policy execution is proposed in this work. Key technologies for such a framework at the modeling, analysis, and data collection aspects are discussed. Sensitivity analysis is proposed for model verification and confidence analysis. Critical point identification is another important topic for control policy making by network topology analysis. The importance and feasibility of these technologies are illustrated by the experiment on Beijing SARS (Severe Acute Respiratory Syndrome) data in 2003.","PeriodicalId":287132,"journal":{"name":"Online World Conference on Soft Computing in Industrial Applications","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127374182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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