Pub Date : 2018-06-01DOI: 10.1109/SYSOSE.2018.8428764
Christos Kotronis, M. Nikolaidou, G. Dimitrakopoulos, D. Anagnostopoulos, A. Amira, F. Bensaali
Internet-based solutions, enhanced by Internet of Things (IoT) and Cloud computing, are constantly driving revolutionary approaches in multiple domains, including healthcare. Indicatively, telemedicine, real-time diagnosis and remote monitoring of patients, are expected to transform the healthcare domain. These systems may offer several services of different criticality, necessitating safety-/mission-critical core components and non-critical peripheral components; in other words, they are complex, mixed-criticality System-of-Systems (SoS). To understand and design such systems, engineers must be facilitated with the appropriate modeling tools. In this work, we explore the application of model-based design, using the Systems Modeling Language (SysML), of IoT e-Health systems, emphasizing criticality requirements. We focus on the Remote Elderly Monitoring System (REMS) use case, combining IoT technologies with classic healthcare practices, to demonstrate the potential of the proposed approach. Requirements comprise a basic concept of a systematic model-driven methodology that enables the successful management of the criticalities in system design, implementation and deployment. In the REMS use case, identified criticalities are modeled as SysML requirements, while SysML constraints and parametric diagrams are employed to describe and verify quantitative criticality requirements.
{"title":"A Model-based Approach for Managing Criticality Requirements in e-Health IoT Systems","authors":"Christos Kotronis, M. Nikolaidou, G. Dimitrakopoulos, D. Anagnostopoulos, A. Amira, F. Bensaali","doi":"10.1109/SYSOSE.2018.8428764","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428764","url":null,"abstract":"Internet-based solutions, enhanced by Internet of Things (IoT) and Cloud computing, are constantly driving revolutionary approaches in multiple domains, including healthcare. Indicatively, telemedicine, real-time diagnosis and remote monitoring of patients, are expected to transform the healthcare domain. These systems may offer several services of different criticality, necessitating safety-/mission-critical core components and non-critical peripheral components; in other words, they are complex, mixed-criticality System-of-Systems (SoS). To understand and design such systems, engineers must be facilitated with the appropriate modeling tools. In this work, we explore the application of model-based design, using the Systems Modeling Language (SysML), of IoT e-Health systems, emphasizing criticality requirements. We focus on the Remote Elderly Monitoring System (REMS) use case, combining IoT technologies with classic healthcare practices, to demonstrate the potential of the proposed approach. Requirements comprise a basic concept of a systematic model-driven methodology that enables the successful management of the criticalities in system design, implementation and deployment. In the REMS use case, identified criticalities are modeled as SysML requirements, while SysML constraints and parametric diagrams are employed to describe and verify quantitative criticality requirements.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124443074","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 : 2018-06-01DOI: 10.1109/SYSOSE.2018.8428725
M. Belov
Complex activity (CA) is considered to be a key feature of an enterprise, by which it realizes its mission, goals, and capabilities. Structure, uncertainty, and lifecycle are identified as the key aspects of CA. Within the theory of CA, a unified means (integrated set of models) is proposed to formally describe and analyze any complex activity, along with the actors and enterprise. CAs such as management and organization (as processes) are formalized and investigated. It is shown that the focus of organization and management in relation to CA is the tightly coupled pair (system of systems) of complex activity and the entity that implements it – the enterprise. The role of technology in CA is identified: CA dealing with the development of technology is indeed “complex,” while all other CAs, including organization and management, are routine! Management and organization become “complex” when, due to uncertainty, in the course of their implementation it is necessary to develop methods and tools (technology) for a new CA.
{"title":"Theory of Complex Activity as a Tool to Analyze and Govern an Enterprise","authors":"M. Belov","doi":"10.1109/SYSOSE.2018.8428725","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428725","url":null,"abstract":"Complex activity (CA) is considered to be a key feature of an enterprise, by which it realizes its mission, goals, and capabilities. Structure, uncertainty, and lifecycle are identified as the key aspects of CA. Within the theory of CA, a unified means (integrated set of models) is proposed to formally describe and analyze any complex activity, along with the actors and enterprise. CAs such as management and organization (as processes) are formalized and investigated. It is shown that the focus of organization and management in relation to CA is the tightly coupled pair (system of systems) of complex activity and the entity that implements it – the enterprise. The role of technology in CA is identified: CA dealing with the development of technology is indeed “complex,” while all other CAs, including organization and management, are routine! Management and organization become “complex” when, due to uncertainty, in the course of their implementation it is necessary to develop methods and tools (technology) for a new CA.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126667816","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 : 2018-06-01DOI: 10.1109/SYSOSE.2018.8428744
David M. Curry, W. W. Beaver, C. Dagli
AbstractAerospace production systems, publically traded securities, and countless other systems generate data in time-series formats. The capability to predict future values and outcomes allow optimal decisions and process adjustments to mitigate risk and achieve objectives. This is an application paper that explores improving the accuracy and precision of generating predicted values and decisions with time-series data by integrating existing data mining technologies and information systems. Existing systems are integrated into a System-of-System (SoS) meta-architecture utilizing the Flexible and Intelligent Learning Architecture for SoS (FILA-SoS) [2]. The Overall Objective of the SoS is to maximize the Key Performance Attributes (KPA): Performance of the Predicted Value, Performance of the Predicted Decision, Affordability, Scalabihty, and Robustness. Architectures are generated, assessed, and selected using evolutionary algorithms integrated with a Fuzzy Inference System. The SoS is evaluated with time-series data of publicly traded securities [1]. The results obtained suggest the best or near optimal SoS meta-architecture to improve predictions and decisions of time-series data versus single or hybrid stand-alone systems.
{"title":"A System-of-Systems Approach to Improving Intelligent Predictions and Decisions in a Time-series Environment","authors":"David M. Curry, W. W. Beaver, C. Dagli","doi":"10.1109/SYSOSE.2018.8428744","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428744","url":null,"abstract":"AbstractAerospace production systems, publically traded securities, and countless other systems generate data in time-series formats. The capability to predict future values and outcomes allow optimal decisions and process adjustments to mitigate risk and achieve objectives. This is an application paper that explores improving the accuracy and precision of generating predicted values and decisions with time-series data by integrating existing data mining technologies and information systems. Existing systems are integrated into a System-of-System (SoS) meta-architecture utilizing the Flexible and Intelligent Learning Architecture for SoS (FILA-SoS) [2]. The Overall Objective of the SoS is to maximize the Key Performance Attributes (KPA): Performance of the Predicted Value, Performance of the Predicted Decision, Affordability, Scalabihty, and Robustness. Architectures are generated, assessed, and selected using evolutionary algorithms integrated with a Fuzzy Inference System. The SoS is evaluated with time-series data of publicly traded securities [1]. The results obtained suggest the best or near optimal SoS meta-architecture to improve predictions and decisions of time-series data versus single or hybrid stand-alone systems.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117036692","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 : 2018-06-01DOI: 10.1109/SYSOSE.2018.8428758
C. D’Ambrosio, G. Sbarra, M. Tiberti, C. M. Verrelli, L. Consolini
Autonomous vehicles, that are equipped with an artificial vision system, are considered in this paper. A new space-learning control is proposed for the tracking of planar curves, whose uncertain curvature is $L$-periodic in the curvilinear abscissa $s$. Differently from the related results in the literature, the new control does not rely on the time derivative of $s.$ Experimental results illustrate the effectiveness of the proposed approach.
{"title":"A New Spatial Learning Control for Autonomous Vehicles: Experimental Results","authors":"C. D’Ambrosio, G. Sbarra, M. Tiberti, C. M. Verrelli, L. Consolini","doi":"10.1109/SYSOSE.2018.8428758","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428758","url":null,"abstract":"Autonomous vehicles, that are equipped with an artificial vision system, are considered in this paper. A new space-learning control is proposed for the tracking of planar curves, whose uncertain curvature is $L$-periodic in the curvilinear abscissa $s$. Differently from the related results in the literature, the new control does not rely on the time derivative of $s.$ Experimental results illustrate the effectiveness of the proposed approach.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132885701","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 : 2018-06-01DOI: 10.1109/SYSOSE.2018.8428719
O. Maurice
Systems modelling was widely addressed by Gabriel Kron and affiliate authors using tensorial analysis of networks (TAN). Based on diakoptic principles, the method leads to the lagrangian of the problem, in a multi-physique writing. We expose here the major characteristics of this approach, focusing on multi-scale problems and how to take into account these inputs in a problem of system of systems.
{"title":"A first Cyber-Physical Systems of Systems modeling","authors":"O. Maurice","doi":"10.1109/SYSOSE.2018.8428719","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428719","url":null,"abstract":"Systems modelling was widely addressed by Gabriel Kron and affiliate authors using tensorial analysis of networks (TAN). Based on diakoptic principles, the method leads to the lagrangian of the problem, in a multi-physique writing. We expose here the major characteristics of this approach, focusing on multi-scale problems and how to take into account these inputs in a problem of system of systems.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128565777","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 : 2018-06-01DOI: 10.1109/SYSOSE.2018.8428760
M. Rajabalinejad
The challenges on the right-side of “the V model” are often more than its left-side for Systems Engineers. And so are the challenges of assembly of products comparing to taking them apart, integration of systems comparing to their decomposition, or testing systems comparing to their analysis. For System of Systems, this is even more confronting because a complete definition of system is not always available or often only a part of the system is changing. Referring to real-cases, this paper highlights the problem and suggests basis for integration primarily for rail transport.
{"title":"System Integration: Challenges and Opportunities for Rail Transport","authors":"M. Rajabalinejad","doi":"10.1109/SYSOSE.2018.8428760","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428760","url":null,"abstract":"The challenges on the right-side of “the V model” are often more than its left-side for Systems Engineers. And so are the challenges of assembly of products comparing to taking them apart, integration of systems comparing to their decomposition, or testing systems comparing to their analysis. For System of Systems, this is even more confronting because a complete definition of system is not always available or often only a part of the system is changing. Referring to real-cases, this paper highlights the problem and suggests basis for integration primarily for rail transport.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114718533","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 : 2018-06-01DOI: 10.1109/SYSOSE.2018.8428770
F. V. D. Berg, V. Garousi, B. Tekinerdogan, B. Haverkort
A Cyber-Physical System (CPS) comprises the integration of computation, software, networking, and physical processes. Consequently, CPS models extend traditional embedded system models with an increased support for hybrid and heterogeneous models, networking, time synchronization, and especially interoperability. To assist engineers in designing CPSs, we have developed aDSL, a Domain-Specific Language (DSL) that comes with fully-automated tool support and is tailored to interoperability of CPS. The aDSL tool support includes: (i) interactive model description with input validation; (ii) the computation of possible operation modes of subsystems and parts; and, (iii) checking the adherence to requirements for various design alternatives and finding the Pareto optimal designs given these requirements. Moreover, aDSL generates intuitive visualizations throughout the toolchain which help design engineers to better understand the implications of design decisions and communicate them to stakeholders. aDSL has been applied to an agricultural tractor-trailer system case study in which aDSL quickly evaluated 48 designs and rendered all the visualizations of the results.
{"title":"Designing Cyber-Physical Systems with aDSL: a Domain-Specific Language and Tool Support","authors":"F. V. D. Berg, V. Garousi, B. Tekinerdogan, B. Haverkort","doi":"10.1109/SYSOSE.2018.8428770","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428770","url":null,"abstract":"A Cyber-Physical System (CPS) comprises the integration of computation, software, networking, and physical processes. Consequently, CPS models extend traditional embedded system models with an increased support for hybrid and heterogeneous models, networking, time synchronization, and especially interoperability. To assist engineers in designing CPSs, we have developed aDSL, a Domain-Specific Language (DSL) that comes with fully-automated tool support and is tailored to interoperability of CPS. The aDSL tool support includes: (i) interactive model description with input validation; (ii) the computation of possible operation modes of subsystems and parts; and, (iii) checking the adherence to requirements for various design alternatives and finding the Pareto optimal designs given these requirements. Moreover, aDSL generates intuitive visualizations throughout the toolchain which help design engineers to better understand the implications of design decisions and communicate them to stakeholders. aDSL has been applied to an agricultural tractor-trailer system case study in which aDSL quickly evaluated 48 designs and rendered all the visualizations of the results.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121729276","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 : 2018-06-01DOI: 10.1109/sysose.2018.8428777
{"title":"SoSE 2018 TOC","authors":"","doi":"10.1109/sysose.2018.8428777","DOIUrl":"https://doi.org/10.1109/sysose.2018.8428777","url":null,"abstract":"","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125690135","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 : 2018-06-01DOI: 10.1109/SYSOSE.2018.8428749
Rogier Woltjer, J. Hermelin, Susanna Nilsson, Per-Anders Oskarsson, N. Hallberg
The purpose of this paper is to show how requirements engineering techniques can be used to structure the development of non-technical aspects of socio-technical systems, such as guidelines. An adapted requirements engineering approach was chosen to elicit requirements for resilience guidelines within an EU Horizon 2020 multi-national project aimed at developing resilience guidelines for crisis management (DARWIN). The approach is based on requirements engineering practices from the area of systems engineering as the process of developing and evaluating guidelines has some commonalities to a system development process. This paper documents the process of elicitation of guideline requirements and lessons learned during this process, and provides examples of the requirements. It intends to be useful to practitioners and researchers involved in developing the resilience of critical infrastructures, and to developers of guidelines, as a source of reference or methodological support.
{"title":"Using Requirements Engineering in the Development of Resilience Guidelines for Critical Infrastructure","authors":"Rogier Woltjer, J. Hermelin, Susanna Nilsson, Per-Anders Oskarsson, N. Hallberg","doi":"10.1109/SYSOSE.2018.8428749","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428749","url":null,"abstract":"The purpose of this paper is to show how requirements engineering techniques can be used to structure the development of non-technical aspects of socio-technical systems, such as guidelines. An adapted requirements engineering approach was chosen to elicit requirements for resilience guidelines within an EU Horizon 2020 multi-national project aimed at developing resilience guidelines for crisis management (DARWIN). The approach is based on requirements engineering practices from the area of systems engineering as the process of developing and evaluating guidelines has some commonalities to a system development process. This paper documents the process of elicitation of guideline requirements and lessons learned during this process, and provides examples of the requirements. It intends to be useful to practitioners and researchers involved in developing the resilience of critical infrastructures, and to developers of guidelines, as a source of reference or methodological support.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134470293","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 system of systems (SoS) is a complex system. In SoS, autonomous systems join up together and form a system i.e. SoS, which has a distinguished purpose or goal to achieve. Each system in SoS has its own objective and implementation strategies. Without a policy, it is likely that each individual system will implement their local priorities, which can lead to unsynchronized operations and unpredictable outcomes. Hence, defining a policy which aims at providing the necessary degree of coordination of constituent systems’ interactions is a vital requirement for SoS. For this purpose, we propose a top-down approach of collaboration policy modeling. A collaboration policy can be defined as a set of rules that enable constituent systems to work together, or guide interactions of constituent systems towards a common goal. In this work, we present how SoS policy rules can be extracted from the SoS goal using GSN and KAOS patterns. We also introduce a simple annotation technique to determine rules prerequisite relationships. We propose a generic and extensible collaboration policy model incorporating important SoS characteristics. To demonstrate applicability of the proposed collaboration policy model, we present collaboration policy model for an emergency response system of systems application.
{"title":"A collaboration policy model for system of systems","authors":"Zelalem Mihret, Eunkyoung Jee, Young-Min Baek, Doo-Hwan Bae","doi":"10.1109/SYSOSE.2018.8428699","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428699","url":null,"abstract":"A system of systems (SoS) is a complex system. In SoS, autonomous systems join up together and form a system i.e. SoS, which has a distinguished purpose or goal to achieve. Each system in SoS has its own objective and implementation strategies. Without a policy, it is likely that each individual system will implement their local priorities, which can lead to unsynchronized operations and unpredictable outcomes. Hence, defining a policy which aims at providing the necessary degree of coordination of constituent systems’ interactions is a vital requirement for SoS. For this purpose, we propose a top-down approach of collaboration policy modeling. A collaboration policy can be defined as a set of rules that enable constituent systems to work together, or guide interactions of constituent systems towards a common goal. In this work, we present how SoS policy rules can be extracted from the SoS goal using GSN and KAOS patterns. We also introduce a simple annotation technique to determine rules prerequisite relationships. We propose a generic and extensible collaboration policy model incorporating important SoS characteristics. To demonstrate applicability of the proposed collaboration policy model, we present collaboration policy model for an emergency response system of systems application.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131023755","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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