I. Horváth, José Pablo Suárez Rivero, P. Castellano
triangular/tetrahedral topics
三角形/四面体的话题
{"title":"Past, Present and Future of Behaviourally Adaptive Engineered Systems","authors":"I. Horváth, José Pablo Suárez Rivero, P. Castellano","doi":"10.3233/JID190006","DOIUrl":"https://doi.org/10.3233/JID190006","url":null,"abstract":"triangular/tetrahedral topics","PeriodicalId":342559,"journal":{"name":"J. Integr. Des. Process. Sci.","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115851615","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}
{"title":"Development of Behavioural Modules for Mechatronic Product Families using the 3D Design Structure Matrix Approach","authors":"Zühal Erden","doi":"10.3233/jid190011","DOIUrl":"https://doi.org/10.3233/jid190011","url":null,"abstract":"","PeriodicalId":342559,"journal":{"name":"J. Integr. Des. Process. Sci.","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122869299","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}
Hazard-intense applications of cyber-physical systems (CPSs), such as the evacuation of a building on fire, require personalized informing on the basis of a real-time assessment of dynamic context. In this paper, a context-dependent message construction mechanism (CD-MCM) is proposed with the objectives (i) to inform people about the emergence and development of a situation unsafe for them, and (ii) to instruct them what they have to do according to an adaptively computed action plan. To achieve this, the concepts of 'situation' and 'impact indicator' have been introduced in order to facilitate the computation of personalized action plans and to send messages about the level of danger and the requested actions. In both activities, the inferred implications of situations are used as the basis of informing the involved people. The messages are adapted to actual situations. In addition, the concept of 'relevance indicator' was utilized to assess the significance of the standing situations for the concerned people in a quasi-real-time manner. The level of danger was evaluated for each person by totaling the values of the situation-related relevance indicators. This was also used to select the proper message templates from the predefined alternatives in the process of message construction. The personalized messages were generated based on the chosen message template and the various message components describing concerned situations or providing instructions. The CD-MCM was validated in a simulated indoor fire evacuation guiding application. In the practical evaluation of the quality of the generated messages, a sample of test people was involved. The results of the evaluation show that the messages generated by the proposed CD-MCM lead to more effective messaging about the personal context and the expected actions than the messages constructed by using static context information only. The reason is that the proposed template-based message construction mechanism facilitates the appropriateness as well as the articulation of the contents of context-sensitive personalized messages.
{"title":"Personalized Messaging Based on Dynamic Context Assessment: Application in An Informing Cyber-Physical System","authors":"Yongzhe Li, I. Horváth, Z. Rusák","doi":"10.3233/JID190004","DOIUrl":"https://doi.org/10.3233/JID190004","url":null,"abstract":"Hazard-intense applications of cyber-physical systems (CPSs), such as the evacuation of a building on fire, require personalized informing on the basis of a real-time assessment of dynamic context. In this paper, a context-dependent message construction mechanism (CD-MCM) is proposed with the objectives (i) to inform people about the emergence and development of a situation unsafe for them, and (ii) to instruct them what they have to do according to an adaptively computed action plan. To achieve this, the concepts of 'situation' and 'impact indicator' have been introduced in order to facilitate the computation of personalized action plans and to send messages about the level of danger and the requested actions. In both activities, the inferred implications of situations are used as the basis of informing the involved people. The messages are adapted to actual situations. In addition, the concept of 'relevance indicator' was utilized to assess the significance of the standing situations for the concerned people in a quasi-real-time manner. The level of danger was evaluated for each person by totaling the values of the situation-related relevance indicators. This was also used to select the proper message templates from the predefined alternatives in the process of message construction. The personalized messages were generated based on the chosen message template and the various message components describing concerned situations or providing instructions. The CD-MCM was validated in a simulated indoor fire evacuation guiding application. In the practical evaluation of the quality of the generated messages, a sample of test people was involved. The results of the evaluation show that the messages generated by the proposed CD-MCM lead to more effective messaging about the personal context and the expected actions than the messages constructed by using static context information only. The reason is that the proposed template-based message construction mechanism facilitates the appropriateness as well as the articulation of the contents of context-sensitive personalized messages.","PeriodicalId":342559,"journal":{"name":"J. Integr. Des. Process. Sci.","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132412317","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}
Cyber-Physical Systems (CPS) and Socio-Technical Systems (STS) are two popular paradigms for the analysis and modeling of engineering and social systems. These paradigms are complementary and particularly apt to model complex adaptive behaviors from both the component and system points of view. Notwithstanding historical and methodological differences, nowadays research in CPS and in STS converge to study similar system characteristics. The integration of expertise from both these domains can help to develop new approaches to study informationand human-centered systems like factories in Industry 4.0 and urban environments. To foster their integration, an overarching framework and a coherent conceptualization of adaptive systems must be put forward. This paper faces the challenge by the introduction of core distinctions, the characterization of the class of Agent-based Cyber-Physical Social System (ACPSS), and the development of an ontology-based framework. The paper builds on the traditional notions of component and interaction here re-elaborated from a domain-neutral viewpoint. The outcome of this analysis is proposed as a foundational basis to model behaviorally adaptive engineering systems.
{"title":"An Ontological View of Components and Interactions in Behaviorally Adaptive Systems","authors":"S. Borgo","doi":"10.3233/jid190013","DOIUrl":"https://doi.org/10.3233/jid190013","url":null,"abstract":"Cyber-Physical Systems (CPS) and Socio-Technical Systems (STS) are two popular paradigms for the analysis and modeling of engineering and social systems. These paradigms are complementary and particularly apt to model complex adaptive behaviors from both the component and system points of view. Notwithstanding historical and methodological differences, nowadays research in CPS and in STS converge to study similar system characteristics. The integration of expertise from both these domains can help to develop new approaches to study informationand human-centered systems like factories in Industry 4.0 and urban environments. To foster their integration, an overarching framework and a coherent conceptualization of adaptive systems must be put forward. This paper faces the challenge by the introduction of core distinctions, the characterization of the class of Agent-based Cyber-Physical Social System (ACPSS), and the development of an ontology-based framework. The paper builds on the traditional notions of component and interaction here re-elaborated from a domain-neutral viewpoint. The outcome of this analysis is proposed as a foundational basis to model behaviorally adaptive engineering systems.","PeriodicalId":342559,"journal":{"name":"J. Integr. Des. Process. Sci.","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132737564","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}
{"title":"Semantic and Association Rule Mining-based Knowledge Extension for Reusable Medical Equipment Random Forest Rules","authors":"Jong Youl Lee, Kyoung-Yun Kim","doi":"10.3233/JID180011","DOIUrl":"https://doi.org/10.3233/JID180011","url":null,"abstract":"","PeriodicalId":342559,"journal":{"name":"J. Integr. Des. Process. Sci.","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116115072","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 understanding of stakeholder’s behavior is essential to design a system because the system should satisfy and support stakeholders for the stakeholders to adopt the system (Jiao & Chen, 2006). Understanding of stakeholders’ behavior requires knowledge about how they work in the designed system and how they respond to the designed product. Furthermore, if we can understand why the stakeholders work or respond in such a way, we can predict the behavior of stakeholders. The causality refers to the relationship between causes and effects. The causality is essential to stakeholder behavior analysis. The causality analysis of the stakeholder behaviour contributes to the system design and analysis by providing knowledge on three perspectives (i.e., the prediction of stakeholder behavior to the new system, the motivation of the new system design, and the new system itself). Specific examples for these three perspectives are following: first, we can build a stakeholder response model. The model can be a structural-hypothetic model in social science (Biddle & Marlin, 1987; Bagozzi & Yi, 1988) and customer’s cognition model for a product (Khalid & Helander, 2004; Li, 2004). Second, stakeholder’s dissatisfaction inferred by (or evaluated from) the model can be a motivation for a new system. Lastly, the causality of stakeholder’s behavior can be implemented as an intelligent system itself. For instance, the causality can be converted into a mathematical model like operations research model (Shannon et al., 1980). This issue gathers four papers among which the first two concentrate on stakeholder behavior prediction such as the hypothetical model between the cooperative knowledge sharing and firm’s innovativeness and the customer’s psychological response for a shaving product. The other two papers discuss about the healthcare visiting scheduling system motivated by
{"title":"Roles of Causality for Understanding the Behavior of System Stakeholders","authors":"Jaemun Sim, Kyoung-Yun Kim","doi":"10.3233/JID180016","DOIUrl":"https://doi.org/10.3233/JID180016","url":null,"abstract":"The understanding of stakeholder’s behavior is essential to design a system because the system should satisfy and support stakeholders for the stakeholders to adopt the system (Jiao & Chen, 2006). Understanding of stakeholders’ behavior requires knowledge about how they work in the designed system and how they respond to the designed product. Furthermore, if we can understand why the stakeholders work or respond in such a way, we can predict the behavior of stakeholders. The causality refers to the relationship between causes and effects. The causality is essential to stakeholder behavior analysis. The causality analysis of the stakeholder behaviour contributes to the system design and analysis by providing knowledge on three perspectives (i.e., the prediction of stakeholder behavior to the new system, the motivation of the new system design, and the new system itself). Specific examples for these three perspectives are following: first, we can build a stakeholder response model. The model can be a structural-hypothetic model in social science (Biddle & Marlin, 1987; Bagozzi & Yi, 1988) and customer’s cognition model for a product (Khalid & Helander, 2004; Li, 2004). Second, stakeholder’s dissatisfaction inferred by (or evaluated from) the model can be a motivation for a new system. Lastly, the causality of stakeholder’s behavior can be implemented as an intelligent system itself. For instance, the causality can be converted into a mathematical model like operations research model (Shannon et al., 1980). This issue gathers four papers among which the first two concentrate on stakeholder behavior prediction such as the hypothetical model between the cooperative knowledge sharing and firm’s innovativeness and the customer’s psychological response for a shaving product. The other two papers discuss about the healthcare visiting scheduling system motivated by","PeriodicalId":342559,"journal":{"name":"J. Integr. Des. Process. Sci.","volume":"50 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132287323","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}
Performance in design processes depends on different factors and the meaning of performance is varied in different fields. In order to define a general definition of performance for its further analysis in all disciplines, we represent the performance of an individual or a group as a function of workload and mental stress. According to the mental stress model (Nguyen & Zeng, 2012), a moderate range of stresses for individuals may lead to their best performance, which is achieved when their workload and mental capability are at a comparable level. In the meantime, human mental capacity can be defined as individuals’ knowledge, skills, and affective. In this special issue, four papers are selected to address different aspects of designer’s mental capability. The first paper attempts to achieve better product performance by updating the design and analysis tools and skills. In the second paper, methods were developed to analyse and optimize a sample bicrystal structure by checking its performance when it is subjected to different loads and affected by different shapes of the structure. The third paper illustrates a software engineering viewpoint about developing performance, which defines software designing performance in terms of time and cost. The last paper represents performance indicators and objectives as the main factors of architecture design, which further analyses these factors and designers’ available tools and skills through a detailed literature review. The paper, Optimal Design Method for Energy-Saving Structure Based on Genetic Algorithm and Finite Element Analysis”, a design methodology to improve performance of vulcanizing forming moulds through optimizing their temperature field. Vulcanizing forming mould affects the quality of compound rubber bearings, which is widely utilized in different industries. They to optimize the structure and power distribution of moulds. They first obtained effective parameters, afterward they optimized energy consumption based on the extracted parameters and finally they checked
{"title":"Performance Based Design","authors":"S. Razavi, Yong Zeng","doi":"10.3233/jid180017","DOIUrl":"https://doi.org/10.3233/jid180017","url":null,"abstract":"Performance in design processes depends on different factors and the meaning of performance is varied in different fields. In order to define a general definition of performance for its further analysis in all disciplines, we represent the performance of an individual or a group as a function of workload and mental stress. According to the mental stress model (Nguyen & Zeng, 2012), a moderate range of stresses for individuals may lead to their best performance, which is achieved when their workload and mental capability are at a comparable level. In the meantime, human mental capacity can be defined as individuals’ knowledge, skills, and affective. In this special issue, four papers are selected to address different aspects of designer’s mental capability. The first paper attempts to achieve better product performance by updating the design and analysis tools and skills. In the second paper, methods were developed to analyse and optimize a sample bicrystal structure by checking its performance when it is subjected to different loads and affected by different shapes of the structure. The third paper illustrates a software engineering viewpoint about developing performance, which defines software designing performance in terms of time and cost. The last paper represents performance indicators and objectives as the main factors of architecture design, which further analyses these factors and designers’ available tools and skills through a detailed literature review. The paper, Optimal Design Method for Energy-Saving Structure Based on Genetic Algorithm and Finite Element Analysis”, a design methodology to improve performance of vulcanizing forming moulds through optimizing their temperature field. Vulcanizing forming mould affects the quality of compound rubber bearings, which is widely utilized in different industries. They to optimize the structure and power distribution of moulds. They first obtained effective parameters, afterward they optimized energy consumption based on the extracted parameters and finally they checked","PeriodicalId":342559,"journal":{"name":"J. Integr. Des. Process. Sci.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128472233","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}
{"title":"Performance-based Generative Architecture Design: A Review on Design Problem Formulation and Software Utilization","authors":"Shenghuan Zhao, E. D. Angelis","doi":"10.3233/JID190001","DOIUrl":"https://doi.org/10.3233/JID190001","url":null,"abstract":"","PeriodicalId":342559,"journal":{"name":"J. Integr. Des. Process. Sci.","volume":"167 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123179323","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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