The adaptive cycle of knowledge creation and co-evolution of knowledge networks are simulated to examine what behavioral mechanisms and rules of interaction confer community structures conducive to innovation. Specifically, we use small-world network and clustering coefficient as a proxy metric to study the impact of domain tolerance, receptivity, inertia, and mobility on stability and innovation potential. Preliminary results suggest that medium and high receptivity communities are able to balance integrated differentiation over their lifetime, while growing inertia lead to tension and spillovers. Also, medium and high levels of reward sensitivity consistently generate cohesive collaboration networks.
{"title":"On the Impact of Resilience, Inertia, and Information Foraging in Global Participatory Innovation Communities","authors":"L. Yilmaz","doi":"10.1109/SIMUL.2010.9","DOIUrl":"https://doi.org/10.1109/SIMUL.2010.9","url":null,"abstract":"The adaptive cycle of knowledge creation and co-evolution of knowledge networks are simulated to examine what behavioral mechanisms and rules of interaction confer community structures conducive to innovation. Specifically, we use small-world network and clustering coefficient as a proxy metric to study the impact of domain tolerance, receptivity, inertia, and mobility on stability and innovation potential. Preliminary results suggest that medium and high receptivity communities are able to balance integrated differentiation over their lifetime, while growing inertia lead to tension and spillovers. Also, medium and high levels of reward sensitivity consistently generate cohesive collaboration networks.","PeriodicalId":178609,"journal":{"name":"2010 Second International Conference on Advances in System Simulation","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115397506","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}
This paper presents the automatic transformation of a Field Artillery Conceptual Data Model (FADM) into a High Level Architecture (HLA) Object Model Template (OMT) Model (HOM). It is part of a series of transformations from field artillery mission space to federation architecture to executable distributed simulation code. The approach followed in the course of this work adheres to the Model-Driven Engineering (MDE) philosophy. The model transformation is carried out with the Graph Rewriting and Transformation (GReAT) tool and partly hand-coded in C++. Given a conceptual data model, a simulation object model is produced, tailored according to one of the three object class generation schemes, expounded in the paper.
{"title":"Model-Integrated Development of Field Artillery Federation Object Model","authors":"Gurkan Ozhan, Ali Dinç, H. Oguztuzun","doi":"10.1109/SIMUL.2010.27","DOIUrl":"https://doi.org/10.1109/SIMUL.2010.27","url":null,"abstract":"This paper presents the automatic transformation of a Field Artillery Conceptual Data Model (FADM) into a High Level Architecture (HLA) Object Model Template (OMT) Model (HOM). It is part of a series of transformations from field artillery mission space to federation architecture to executable distributed simulation code. The approach followed in the course of this work adheres to the Model-Driven Engineering (MDE) philosophy. The model transformation is carried out with the Graph Rewriting and Transformation (GReAT) tool and partly hand-coded in C++. Given a conceptual data model, a simulation object model is produced, tailored according to one of the three object class generation schemes, expounded in the paper.","PeriodicalId":178609,"journal":{"name":"2010 Second International Conference on Advances in System Simulation","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124139657","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}
Marko Jaakola, Juho Eskeli, Markku Pollari, T. Kanstrén, J. Kaariainen, Markus Piippola
This paper presents a novel approach for integration of multiple tools and phases used in embedded systems’ hardware/software co-design. As a single example case we examine closer a performance simulation solution, which can be used for evaluation of proper number of processors. The solution is meant for supporting development of embedded systems by simulations, starting from low-level operating system run-time measurements, and eventually ending at enhancing the analysis of simulation results with 3D-visualisation. Besides the to-be-presented integrated tool chain, all the single solutions including instrumentation framework, data storage, measurement processing, performance simulator and data visualisation are contributions of this work. The presented tool environment can be used for other types of design-related tasks as well. With the tool integration we ease the manageability and controllability of a fairly complex process – the hardware/software co-design.
{"title":"Integrated Path from Run-Time Measurements to Design Decisions: Case Study in Performance Analysis","authors":"Marko Jaakola, Juho Eskeli, Markku Pollari, T. Kanstrén, J. Kaariainen, Markus Piippola","doi":"10.1109/SIMUL.2010.12","DOIUrl":"https://doi.org/10.1109/SIMUL.2010.12","url":null,"abstract":"This paper presents a novel approach for integration of multiple tools and phases used in embedded systems’ hardware/software co-design. As a single example case we examine closer a performance simulation solution, which can be used for evaluation of proper number of processors. The solution is meant for supporting development of embedded systems by simulations, starting from low-level operating system run-time measurements, and eventually ending at enhancing the analysis of simulation results with 3D-visualisation. Besides the to-be-presented integrated tool chain, all the single solutions including instrumentation framework, data storage, measurement processing, performance simulator and data visualisation are contributions of this work. The presented tool environment can be used for other types of design-related tasks as well. With the tool integration we ease the manageability and controllability of a fairly complex process – the hardware/software co-design.","PeriodicalId":178609,"journal":{"name":"2010 Second International Conference on Advances in System Simulation","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131662512","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}
Healthcare delivery systems around the world are faced with growing demand to provide a better-quality standard of care and at the same time keep the cost and resource utilization minimal. Statistics reveal that diabetes is a major issue in the healthcare industry and there is a strong need to address this problem in order to improve and reduce the cost of its treatment. Furthermore, evidence of the effectiveness of self-monitoring blood glucose levels is unclear, particularly in patients with Type 2 diabetes. In this study, interaction between the diabetic patient and the physician in current healthcare settings is modeled and simulated using software agent technology to demonstrate the long term clinical-effectiveness and cost-effectiveness of various diabetic interventions such as self-monitoring and lifestyle adjustments.
{"title":"Agent-Based Simulation of Healthcare for Type II Diabetes","authors":"R. Paranjape, Simerjit Gill","doi":"10.1109/SIMUL.2010.13","DOIUrl":"https://doi.org/10.1109/SIMUL.2010.13","url":null,"abstract":"Healthcare delivery systems around the world are faced with growing demand to provide a better-quality standard of care and at the same time keep the cost and resource utilization minimal. Statistics reveal that diabetes is a major issue in the healthcare industry and there is a strong need to address this problem in order to improve and reduce the cost of its treatment. Furthermore, evidence of the effectiveness of self-monitoring blood glucose levels is unclear, particularly in patients with Type 2 diabetes. In this study, interaction between the diabetic patient and the physician in current healthcare settings is modeled and simulated using software agent technology to demonstrate the long term clinical-effectiveness and cost-effectiveness of various diabetic interventions such as self-monitoring and lifestyle adjustments.","PeriodicalId":178609,"journal":{"name":"2010 Second International Conference on Advances in System Simulation","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126411087","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}
Simulation is one of the most valuable and powerful analytical tools for process improvement, irrespective of whether the process is one of manufacturing, transportation, health care, or general service. Its value typically increases as the process to be modeled becomes more complex. Furthermore, discrete-event simulation analyses combine synergistically, and become more powerful, when conjoined with other industrial engineering techniques such as bottleneck (constraint) analysis, work measurement, floor space requirements and facility layout analysis, and value-stream mapping. In this case study, we describe the application of simulation, in concert with these other techniques, to improving the efficiency, and hence the reliability and profitability, of steel-mill manufacture, in a decidedly international context, of a wide variety of pipes for generic use in a variety of industrial applications.
{"title":"Application of Simulation to Design and Operation of Steel Mill Devoted to Manufacture of Line Pipes","authors":"K. Vasudevan, Eric Lammers, E. Williams, O. Ulgen","doi":"10.1109/SIMUL.2010.11","DOIUrl":"https://doi.org/10.1109/SIMUL.2010.11","url":null,"abstract":"Simulation is one of the most valuable and powerful analytical tools for process improvement, irrespective of whether the process is one of manufacturing, transportation, health care, or general service. Its value typically increases as the process to be modeled becomes more complex. Furthermore, discrete-event simulation analyses combine synergistically, and become more powerful, when conjoined with other industrial engineering techniques such as bottleneck (constraint) analysis, work measurement, floor space requirements and facility layout analysis, and value-stream mapping. In this case study, we describe the application of simulation, in concert with these other techniques, to improving the efficiency, and hence the reliability and profitability, of steel-mill manufacture, in a decidedly international context, of a wide variety of pipes for generic use in a variety of industrial applications.","PeriodicalId":178609,"journal":{"name":"2010 Second International Conference on Advances in System Simulation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126058857","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}
Our earlier research indicates feasibility of applying the PREDIQT method for model-based prediction of impacts of architecture design changes on system quality. The PREDIQT method develops and makes use of the so called prediction models, a central part of which are the "Dependency Views" (DVs) – weighted trees representing the relationships between system design and the quality notions. The values assigned to the DV parameters originate from domain expert judgments and measurements on the system. However fine grained, the DVs contain a certain degree of uncertainty due to lack and inaccuracy of empirical input. This paper proposes an approach to the representation, propagation and analysis of uncertainties in DVs. Such an approach is essential to facilitate model fitting, identify the kinds of architecture design changes which can be handled by the prediction models, and indicate the value of added information. Based on a set of criteria, we argue analytically and empirically, that our approach is comprehensible, sound, practically useful and better than any other approach we are aware of.
{"title":"Interval-Based Uncertainty Handling in Model-Based Prediction of System Quality","authors":"Aida Omerovic, K. Stølen","doi":"10.1109/SIMUL.2010.17","DOIUrl":"https://doi.org/10.1109/SIMUL.2010.17","url":null,"abstract":"Our earlier research indicates feasibility of applying the PREDIQT method for model-based prediction of impacts of architecture design changes on system quality. The PREDIQT method develops and makes use of the so called prediction models, a central part of which are the \"Dependency Views\" (DVs) – weighted trees representing the relationships between system design and the quality notions. The values assigned to the DV parameters originate from domain expert judgments and measurements on the system. However fine grained, the DVs contain a certain degree of uncertainty due to lack and inaccuracy of empirical input. This paper proposes an approach to the representation, propagation and analysis of uncertainties in DVs. Such an approach is essential to facilitate model fitting, identify the kinds of architecture design changes which can be handled by the prediction models, and indicate the value of added information. Based on a set of criteria, we argue analytically and empirically, that our approach is comprehensible, sound, practically useful and better than any other approach we are aware of.","PeriodicalId":178609,"journal":{"name":"2010 Second International Conference on Advances in System Simulation","volume":"151 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132636829","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}
A. Usov, Césaire Beyel, Erich Rome, U. Beyer, E. Castorini, P. Palazzari, Alberto Tofani
Critical infrastructures (CI) such as telecommunication or the power grids and their dependencies are getting increasingly complex. Understanding these – often indirect –dependencies is a vital precondition for the prevention of cross sector cascading failures of CI. Simulation is an important tool for CI dependency analysis, the test of methods for risk reduction, and as well for the evaluation of past failures. Moreover, interaction of such simulations with external threat models, e.g., a river flood model and economic models, may assist in what-if decision-making processes. The simulation of complex scenarios involving several different CI sectors requires the usage of heterogeneous federated simulations of CI. However, common standards for modelling and interoperability of such federated CI simulations are missing. In this paper, we present a novel approach for coupling CI simulations, developed and realised in the EU project DIESIS. The DIESIS core technologies for coupling CI simulations include a middleware that enables semantic interoperability of the federate simulators, a systematic, service-oriented approach to set up and run such federations, and, most importantly, a scenario-based architecture concept for modelling and federated simulation of CI. The architecture foresees a flexible pair-wise (lateral) coupling of simulators. DIESIS has implemented a demonstrator as a proof of concept for its approach and technologies, by coupling four different simulation systems (three interacting CIs and an external, common threat). In this paper, we focus on the architectural concept and the interoperability middleware that realises this concept and allows the coupling of heterogeneous simulation systems using various time and data models. We show how the ontology-based Knowledge Based System (KBS) is integrated and used in the overall system. Then, we discuss the basic technical concepts as well as the results obtained with the demonstrator. The proposed architecture is open for further extensions. Ultimately, the proposed approach shall form the basis of a future standard coupling middleware for federated CI simulations.
{"title":"The DIESIS Approach to Semantically Interoperable Federated Critical Infrastructure Simulation","authors":"A. Usov, Césaire Beyel, Erich Rome, U. Beyer, E. Castorini, P. Palazzari, Alberto Tofani","doi":"10.1109/SIMUL.2010.16","DOIUrl":"https://doi.org/10.1109/SIMUL.2010.16","url":null,"abstract":"Critical infrastructures (CI) such as telecommunication or the power grids and their dependencies are getting increasingly complex. Understanding these – often indirect –dependencies is a vital precondition for the prevention of cross sector cascading failures of CI. Simulation is an important tool for CI dependency analysis, the test of methods for risk reduction, and as well for the evaluation of past failures. Moreover, interaction of such simulations with external threat models, e.g., a river flood model and economic models, may assist in what-if decision-making processes. The simulation of complex scenarios involving several different CI sectors requires the usage of heterogeneous federated simulations of CI. However, common standards for modelling and interoperability of such federated CI simulations are missing. In this paper, we present a novel approach for coupling CI simulations, developed and realised in the EU project DIESIS. The DIESIS core technologies for coupling CI simulations include a middleware that enables semantic interoperability of the federate simulators, a systematic, service-oriented approach to set up and run such federations, and, most importantly, a scenario-based architecture concept for modelling and federated simulation of CI. The architecture foresees a flexible pair-wise (lateral) coupling of simulators. DIESIS has implemented a demonstrator as a proof of concept for its approach and technologies, by coupling four different simulation systems (three interacting CIs and an external, common threat). In this paper, we focus on the architectural concept and the interoperability middleware that realises this concept and allows the coupling of heterogeneous simulation systems using various time and data models. We show how the ontology-based Knowledge Based System (KBS) is integrated and used in the overall system. Then, we discuss the basic technical concepts as well as the results obtained with the demonstrator. The proposed architecture is open for further extensions. Ultimately, the proposed approach shall form the basis of a future standard coupling middleware for federated CI simulations.","PeriodicalId":178609,"journal":{"name":"2010 Second International Conference on Advances in System Simulation","volume":"182 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133588646","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}
Latin hypercube sampling (LHS) is a variance-reduction technique (VRT) that can be thought of as an extension of stratified sampling in higher dimensions. It can also be considered a generalization of antithetic variates, another VRT. This paper develops asymptotically valid confidence intervals for quantiles that are estimated via simulation using LHS.
{"title":"Confidence Intervals for Quantiles When Applying Latin Hypercube Sampling","authors":"Marvin K. Nakayama","doi":"10.1109/SIMUL.2010.10","DOIUrl":"https://doi.org/10.1109/SIMUL.2010.10","url":null,"abstract":"Latin hypercube sampling (LHS) is a variance-reduction technique (VRT) that can be thought of as an extension of stratified sampling in higher dimensions. It can also be considered a generalization of antithetic variates, another VRT. This paper develops asymptotically valid confidence intervals for quantiles that are estimated via simulation using LHS.","PeriodicalId":178609,"journal":{"name":"2010 Second International Conference on Advances in System Simulation","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116255067","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}
Steel fabrication activities require a variety of equipment, material and skilled work in order to produce unique steel pieces. Because of the complexity of steel products, the large number of potential resources, activities, and interactions, and the possible combinations of all these variables, an accurate analysis of such a production system can be extremely difficult. Punctual look-ahead scheduling based on the most recent system analysis and projects data can significantly improve the productivity and project control of the steel fabrication projects. This paper presents an integrated simulation-based framework in which real-time as-built data are captured and along with the as-planned data are fed into the simulation model for look-ahead scheduling. A distributed simulation system based on the High Level Architecture is proposed to enhance the performance of the system. The ability of the proposed system to incorporate real-time actual data along with different scenarios that represent the dynamic work environment and external factors opens new doors to improve the accuracy of look-ahead scheduling in construction industry. To exhibit the feasibility of the proposed framework, a prototype system is developed and deployed in a steel fabrication company.
{"title":"Integrated Simulation-Based Look-Ahead Scheduling for Steel Fabrication Projects","authors":"R. Azimi, SangHyun Lee, S. Abourizk","doi":"10.1109/SIMUL.2010.15","DOIUrl":"https://doi.org/10.1109/SIMUL.2010.15","url":null,"abstract":"Steel fabrication activities require a variety of equipment, material and skilled work in order to produce unique steel pieces. Because of the complexity of steel products, the large number of potential resources, activities, and interactions, and the possible combinations of all these variables, an accurate analysis of such a production system can be extremely difficult. Punctual look-ahead scheduling based on the most recent system analysis and projects data can significantly improve the productivity and project control of the steel fabrication projects. This paper presents an integrated simulation-based framework in which real-time as-built data are captured and along with the as-planned data are fed into the simulation model for look-ahead scheduling. A distributed simulation system based on the High Level Architecture is proposed to enhance the performance of the system. The ability of the proposed system to incorporate real-time actual data along with different scenarios that represent the dynamic work environment and external factors opens new doors to improve the accuracy of look-ahead scheduling in construction industry. To exhibit the feasibility of the proposed framework, a prototype system is developed and deployed in a steel fabrication company.","PeriodicalId":178609,"journal":{"name":"2010 Second International Conference on Advances in System Simulation","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133667145","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}
P. Lecca, Lorenzo Dematté, Adaoha Elizabeth Ihekwaba, C. Priami
We present a new model of anisotropic reaction-diffusion systems and the algorithmic framework of the software Redi (Reaction-Diffusion simulator) that implements this model. As illustrative application, we show the ability of Redi to reproduce the observed dynamics of the bicoid protein gradient in the Drosophila Melanogaster embryo.
{"title":"Redi: A Simulator of Stochastic Biochemical Reaction-Diffusion Systems","authors":"P. Lecca, Lorenzo Dematté, Adaoha Elizabeth Ihekwaba, C. Priami","doi":"10.1109/SIMUL.2010.14","DOIUrl":"https://doi.org/10.1109/SIMUL.2010.14","url":null,"abstract":"We present a new model of anisotropic reaction-diffusion systems and the algorithmic framework of the software Redi (Reaction-Diffusion simulator) that implements this model. As illustrative application, we show the ability of Redi to reproduce the observed dynamics of the bicoid protein gradient in the Drosophila Melanogaster embryo.","PeriodicalId":178609,"journal":{"name":"2010 Second International Conference on Advances in System Simulation","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124016588","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：