Pub Date : 2018-06-01DOI: 10.1109/SYSOSE.2018.8428710
T. McDermott
This paper describes a set of methods and tools adapted from both systems of systems (SoS) engineering and human-centered design which can be used for strategic design and planning of SoS evolution. The concepts are focused on the purposeful design of human SoS, and in particular the design of more resilient human communities.
{"title":"Applying Systems-of-Systems Principles to Purposeful Design of Human Systems","authors":"T. McDermott","doi":"10.1109/SYSOSE.2018.8428710","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428710","url":null,"abstract":"This paper describes a set of methods and tools adapted from both systems of systems (SoS) engineering and human-centered design which can be used for strategic design and planning of SoS evolution. The concepts are focused on the purposeful design of human SoS, and in particular the design of more resilient human communities.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"44 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":"133743751","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.2018.8428711
M. Borth, E. V. Gerwen
System of systems engineering moves towards the realization of smart systems. Information and its underlying data forms the backbone for such cyber-physical systems, especially within the application domains of the internet of things and of infrastructure systems of systems. Data therefore becomes a key component within system engineering. In this context, the rise of applied data science allows for novel uses of systems’ operational data for engineering purposes. We recognize several areas for which data-driven approaches yield promising results, but also identify challenges that render success difficult. These challenges, i.e., data sparsity, the skewness of statistical distributions w.r.t. relevant objects and the semantics of the context of systems, are in parts known to the data science community, but require an appropriate interpretation for engineering purposes. In our own work, we rely on existing domain knowledge to complement data driven aspects of system of systems engineering within a modelbased approach to address these and similar challenges.
{"title":"Data-driven Aspects of Engineering The Use of Operational Data in SoS Engineering: Chances and Challenges","authors":"M. Borth, E. V. Gerwen","doi":"10.1109/SYSOSE.2018.8428711","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428711","url":null,"abstract":"System of systems engineering moves towards the realization of smart systems. Information and its underlying data forms the backbone for such cyber-physical systems, especially within the application domains of the internet of things and of infrastructure systems of systems. Data therefore becomes a key component within system engineering. In this context, the rise of applied data science allows for novel uses of systems’ operational data for engineering purposes. We recognize several areas for which data-driven approaches yield promising results, but also identify challenges that render success difficult. These challenges, i.e., data sparsity, the skewness of statistical distributions w.r.t. relevant objects and the semantics of the context of systems, are in parts known to the data science community, but require an appropriate interpretation for engineering purposes. In our own work, we rely on existing domain knowledge to complement data driven aspects of system of systems engineering within a modelbased approach to address these and similar challenges.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"44 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":"132474094","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.2018.8428703
Soha Saad, F. Ossart, J. Bigeon, E. Sourdille, Harold Gance
The present work addresses train traffic rescheduling that is needed when an electric incident limits the power available for train traction. This is a difficult process of prime importance and we propose a decision-support tool to help the operator. The railway network is a complex multi-physics dynamic system, with many operational constraints, and its simulation is expensive. This makes the management of an incident difficult. The proposed approached applies regional sensitivity in order to study the influence of the different adjustment variables (train delays, speed references …) on traffic quality indicators and operational constraints (catenary voltage, for example). The analysis is divided in two parts: Monte Carlo filtering for factor mapping (qualitative analysis), and two samples Kolmogorov-Smirnov test for prioritization and fixing factors (quantitative analysis). The results provide information about the behavior of the system and the influence of the different traffic adjustment variables, and help reorganizing the train traffic in an optimal way. As a result of the analysis, we obtain a set of feasible solutions that are organized according to different performance criteria. Pareto-optimal front are plotted in order to guide the decisionmaker. The proposed approach is illustrated for a simple case representative of suburban traffic.
{"title":"Regional Sensitivity Analysis Applied To Train Traffic Rescheduling in Case of Power Shortage","authors":"Soha Saad, F. Ossart, J. Bigeon, E. Sourdille, Harold Gance","doi":"10.1109/SYSOSE.2018.8428703","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428703","url":null,"abstract":"The present work addresses train traffic rescheduling that is needed when an electric incident limits the power available for train traction. This is a difficult process of prime importance and we propose a decision-support tool to help the operator. The railway network is a complex multi-physics dynamic system, with many operational constraints, and its simulation is expensive. This makes the management of an incident difficult. The proposed approached applies regional sensitivity in order to study the influence of the different adjustment variables (train delays, speed references …) on traffic quality indicators and operational constraints (catenary voltage, for example). The analysis is divided in two parts: Monte Carlo filtering for factor mapping (qualitative analysis), and two samples Kolmogorov-Smirnov test for prioritization and fixing factors (quantitative analysis). The results provide information about the behavior of the system and the influence of the different traffic adjustment variables, and help reorganizing the train traffic in an optimal way. As a result of the analysis, we obtain a set of feasible solutions that are organized according to different performance criteria. Pareto-optimal front are plotted in order to guide the decisionmaker. The proposed approach is illustrated for a simple case representative of suburban traffic.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"5 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":"116819971","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.2018.8428705
M. Hause, James Hummell, F. Grelier
The future of the Internet of Things (IoT) success, including technology advancements and revenue generating potential across the business spectrum, is dependent on the application of robust Systems Engineering processes, methods, and tools. Without Model Based Systems Engineering (MBSE), the complexity involved in the design, development, and deployment of IoT systems would require more system and operational providers’ resources. Regardless of any industry standards, IoT systems cannot be built in a vacuum. Technology advancements in consumer products will continue to evolve to facilitate connection to IoT networks. This will be the catalyst for driving entire infrastructures changes to: federal, state, city, and local authorities and governments; product development companies; utility and service providers; and even to consumers. The infrastructure and management setup needs to be adopted prior to create smart systems. Such smart system will be shown in this paper by a traffic management system and its connected systems, as well as how a MBSE approach can help.
{"title":"MBSE Driven IoT for Smarter Cities","authors":"M. Hause, James Hummell, F. Grelier","doi":"10.1109/SYSOSE.2018.8428705","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428705","url":null,"abstract":"The future of the Internet of Things (IoT) success, including technology advancements and revenue generating potential across the business spectrum, is dependent on the application of robust Systems Engineering processes, methods, and tools. Without Model Based Systems Engineering (MBSE), the complexity involved in the design, development, and deployment of IoT systems would require more system and operational providers’ resources. Regardless of any industry standards, IoT systems cannot be built in a vacuum. Technology advancements in consumer products will continue to evolve to facilitate connection to IoT networks. This will be the catalyst for driving entire infrastructures changes to: federal, state, city, and local authorities and governments; product development companies; utility and service providers; and even to consumers. The infrastructure and management setup needs to be adopted prior to create smart systems. Such smart system will be shown in this paper by a traffic management system and its connected systems, as well as how a MBSE approach can help.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"49 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":"126053031","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.2018.8428726
F. Oquendo, J. Buisson, E. Leroux, Gersan Moguérou
A challenging issue in the architectural design of a System-of-Systems (SoS) is how to provide guarantees of the correctness of the designed SoS architecture. To address this challenge, we have developed an SoS Architecture Description Language (ADL), called SosADL, to formally describe software-intensive SoS architectures in terms of formal models and transformations between formal models bridging the gap between description and analysis for providing guarantees of architecture correctness. In particular, this paper investigates the features of SosADL that make possible to enforce the guarantees and presents their implementation in SosADL Studio, the Architecture Development Environment (ADE) for SosADL.
在系统的体系结构设计中，一个具有挑战性的问题是如何保证所设计的系统体系结构的正确性。为了应对这一挑战，我们开发了一种SoS体系结构描述语言(ADL)，称为SosADL，根据正式模型和正式模型之间的转换来正式描述软件密集型SoS体系结构，弥合了描述和分析之间的差距，以提供体系结构正确性的保证。特别地，本文研究了SosADL的特性，使保证的实施成为可能，并介绍了它们在SosADL Studio (SosADL的体系结构开发环境(ADE))中的实现。
{"title":"A Formal Approach for Architecting Software-intensive Systems-of-Systems with Guarantees","authors":"F. Oquendo, J. Buisson, E. Leroux, Gersan Moguérou","doi":"10.1109/SYSOSE.2018.8428726","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428726","url":null,"abstract":"A challenging issue in the architectural design of a System-of-Systems (SoS) is how to provide guarantees of the correctness of the designed SoS architecture. To address this challenge, we have developed an SoS Architecture Description Language (ADL), called SosADL, to formally describe software-intensive SoS architectures in terms of formal models and transformations between formal models bridging the gap between description and analysis for providing guarantees of architecture correctness. In particular, this paper investigates the features of SosADL that make possible to enforce the guarantees and presents their implementation in SosADL Studio, the Architecture Development Environment (ADE) for SosADL.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"5 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":"126331241","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.2018.8428730
H. Pham, T. Soriano, N. Hien
In this paper, we study the integrated scenarios of formation tracking, collision avoidance and obstacle avoidance of multiple unmanned underwater vehicles (UUV). It is assumed that the communication graph is directed and connected. The desired formation shape that is created is maintained and follow the trajectory by the consensus algorithm while the potential function is addressed for a collision avoidance. During following the trajectory, the Bézier curve is used for make a new trajectory to avoid obstacles. The effectiveness of the scenario is verified by a numerical simulation.
{"title":"Integrated scenarios of formation tracking and collision avoidance of multi-vehicles","authors":"H. Pham, T. Soriano, N. Hien","doi":"10.1109/SYSOSE.2018.8428730","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428730","url":null,"abstract":"In this paper, we study the integrated scenarios of formation tracking, collision avoidance and obstacle avoidance of multiple unmanned underwater vehicles (UUV). It is assumed that the communication graph is directed and connected. The desired formation shape that is created is maintained and follow the trajectory by the consensus algorithm while the potential function is addressed for a collision avoidance. During following the trajectory, the Bézier curve is used for make a new trajectory to avoid obstacles. The effectiveness of the scenario is verified by a numerical simulation.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"22 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":"121197950","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.2018.8428781
Alan D. Ravitz, M. Grant, Conrad J. Grant
This paper offers a perspective on how a Systems Approach framework, that involves Systems Thinking and the System Development Lifecycle, can be applied in collaborative innovation to ensure that healthcare achieves value, safety, accessibility, and positive patient outcomes. Approaching problem solving in healthcare from a Systems Thinking perspective reinforces the need to maintain a holistic, rather than reductionist, view when designing systems. Coupled with the System Development Lifecycle that provides a requirementsdriven process that progresses from conception through realization, one can create a feedback loop to ensure a continually improving system. Utilizing this approach through transdisciplinary teams, involving both engineers and healthcare professionals, that consider challenges from an integrated conceptual framework, allows the team to formulate and evaluate solutions based on the insights from across the disciplines. The result is the creation and deployment of robust solutions that improve value and advance learning.
{"title":"The Future of Healthcare through a Systems Approach","authors":"Alan D. Ravitz, M. Grant, Conrad J. Grant","doi":"10.1109/SYSOSE.2018.8428781","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428781","url":null,"abstract":"This paper offers a perspective on how a Systems Approach framework, that involves Systems Thinking and the System Development Lifecycle, can be applied in collaborative innovation to ensure that healthcare achieves value, safety, accessibility, and positive patient outcomes. Approaching problem solving in healthcare from a Systems Thinking perspective reinforces the need to maintain a holistic, rather than reductionist, view when designing systems. Coupled with the System Development Lifecycle that provides a requirementsdriven process that progresses from conception through realization, one can create a feedback loop to ensure a continually improving system. Utilizing this approach through transdisciplinary teams, involving both engineers and healthcare professionals, that consider challenges from an integrated conceptual framework, allows the team to formulate and evaluate solutions based on the insights from across the disciplines. The result is the creation and deployment of robust solutions that improve value and advance learning.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"31 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":"124437877","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.2018.8428755
Benjamin Weinert, A. Hahn, M. Uslar
The growing use of ICT in complex and critical infrastructures in the energy- and maritime domain leads to the development of system-of-system engineering efforts especially for system architectures. Such efforts need to integrate a standardized elicitation and harmonization of requirements between different interoperability perspectives and with domain-specific aspects. According to this, the paper adapts the existing architecture management approaches SGAM and MAF for a methodology to structure the identification and harmonization of requirements considering domain specific characteristics and interoperability.
{"title":"Domain-Specific Requirements Elicitation for Socio- Technical System-of-Systems","authors":"Benjamin Weinert, A. Hahn, M. Uslar","doi":"10.1109/SYSOSE.2018.8428755","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428755","url":null,"abstract":"The growing use of ICT in complex and critical infrastructures in the energy- and maritime domain leads to the development of system-of-system engineering efforts especially for system architectures. Such efforts need to integrate a standardized elicitation and harmonization of requirements between different interoperability perspectives and with domain-specific aspects. According to this, the paper adapts the existing architecture management approaches SGAM and MAF for a methodology to structure the identification and harmonization of requirements considering domain specific characteristics and interoperability.","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":"114185350","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.2018.8428713
J. Axelsson, Stina Nylander
Urbanization is one of the major current trends in society. Cities around the world are looking into “smart” solutions based on information and communication technology to deal with the challenges that result from this development. Mobility is one of the most important areas to address, and system-of-systems solutions where vehicles and infrastructure are connected have a potential to improve urban transportation in many aspects. In this paper, current initiatives related to mobility in smart cities around the world are surveyed, and this is complemented with input from focus groups of transportation stakeholders to identify the important aspects of the problem. Based on this, challenges related to the application of systems-ofsystems in urban mobility are identified.
{"title":"An Analysis of Systems-of-Systems Opportunities and Challenges Related to Mobility in Smart Cities","authors":"J. Axelsson, Stina Nylander","doi":"10.1109/SYSOSE.2018.8428713","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428713","url":null,"abstract":"Urbanization is one of the major current trends in society. Cities around the world are looking into “smart” solutions based on information and communication technology to deal with the challenges that result from this development. Mobility is one of the most important areas to address, and system-of-systems solutions where vehicles and infrastructure are connected have a potential to improve urban transportation in many aspects. In this paper, current initiatives related to mobility in smart cities around the world are surveyed, and this is complemented with input from focus groups of transportation stakeholders to identify the important aspects of the problem. Based on this, challenges related to the application of systems-ofsystems in urban mobility are identified.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"197 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":"127248601","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.2018.8428750
Jonathan Lwowski, M. Joordens, Abhijit Majumdar, P. Benavidez, John J. Prevost, M. Jamshidi
Virtual reality (VR) has become a very popular gaming platform in recent years, but has not been used as much in the research domain. Several technologies used to create virtual environments can also be used to assist in research. For example, recent developments in VR allow for easier integration of humans in the loop for control and manipulation of complex, multi-modal system of systems. In this paper we show some of the methods in which a virtually emulated system can be integrated into an artificial intelligence (AI) based system of systems. We demonstrate how this integration allows the reseacher to more easily understand and analyse the inter-system dynamics, and to improve performance using post-simulation visualization, real-time simulation interaction, hardware emulation, and physical object tracking. The results of using virtual reality as a simulation environment shows the usefulness of the tool to system of systems researchers.
{"title":"The Utilization of Virtual Reality as a System of Systems Research Tool","authors":"Jonathan Lwowski, M. Joordens, Abhijit Majumdar, P. Benavidez, John J. Prevost, M. Jamshidi","doi":"10.1109/SYSOSE.2018.8428750","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428750","url":null,"abstract":"Virtual reality (VR) has become a very popular gaming platform in recent years, but has not been used as much in the research domain. Several technologies used to create virtual environments can also be used to assist in research. For example, recent developments in VR allow for easier integration of humans in the loop for control and manipulation of complex, multi-modal system of systems. In this paper we show some of the methods in which a virtually emulated system can be integrated into an artificial intelligence (AI) based system of systems. We demonstrate how this integration allows the reseacher to more easily understand and analyse the inter-system dynamics, and to improve performance using post-simulation visualization, real-time simulation interaction, hardware emulation, and physical object tracking. The results of using virtual reality as a simulation environment shows the usefulness of the tool to system of systems researchers.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"35 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":"121444595","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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