Pub Date : 2020-06-01DOI: 10.1109/sose50414.2020.9130470
{"title":"SoSE 2020 Cover Page","authors":"","doi":"10.1109/sose50414.2020.9130470","DOIUrl":"https://doi.org/10.1109/sose50414.2020.9130470","url":null,"abstract":"","PeriodicalId":121664,"journal":{"name":"2020 IEEE 15th International Conference of System of Systems Engineering (SoSE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126823318","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 : 2020-06-01DOI: 10.1109/SoSE50414.2020.9130554
M. D. C. Estil-les, C. Bersani, R. Sacile
This paper introduces two optimization-based approaches for the scheduling and rescheduling problems on the high-speed railway network. The first scheduling model defines the best schedules for a set of high-speed trains taking into account costumers’ demand, passengers carrying capacity of trains and the priority of the trains to cover the rail sections in case of conflict on the railway lines. Consecutively, the generated feasible timetables are used for the train rescheduling problem which aims to minimize possible consequences due to events that may affect negatively the real time traffic management. Basing on a case study applied on the Northern Italy railway network, the proposed models seem to produce significant improvements in passengers satisfaction in terms of travel times and to restore the railway network in case of disturbances.
{"title":"High-speed train scheduling and rescheduling models","authors":"M. D. C. Estil-les, C. Bersani, R. Sacile","doi":"10.1109/SoSE50414.2020.9130554","DOIUrl":"https://doi.org/10.1109/SoSE50414.2020.9130554","url":null,"abstract":"This paper introduces two optimization-based approaches for the scheduling and rescheduling problems on the high-speed railway network. The first scheduling model defines the best schedules for a set of high-speed trains taking into account costumers’ demand, passengers carrying capacity of trains and the priority of the trains to cover the rail sections in case of conflict on the railway lines. Consecutively, the generated feasible timetables are used for the train rescheduling problem which aims to minimize possible consequences due to events that may affect negatively the real time traffic management. Basing on a case study applied on the Northern Italy railway network, the proposed models seem to produce significant improvements in passengers satisfaction in terms of travel times and to restore the railway network in case of disturbances.","PeriodicalId":121664,"journal":{"name":"2020 IEEE 15th International Conference of System of Systems Engineering (SoSE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133645469","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 : 2020-06-01DOI: 10.1109/SoSE50414.2020.9130518
J. Axelsson
Online education is changing how teaching is done at universities and provides new opportunities to reach out to practitioners. In this paper, the development of an online course in systems-of-systems engineering is presented, as well as results from the first instance of the course. The paper describes how the course was designed; how it was produced; and experiences from giving it. Challenges with online education in the systems engineering subjects are also highlighted.
{"title":"Systems-of-Systems Engineering Online Education: An Experience Report","authors":"J. Axelsson","doi":"10.1109/SoSE50414.2020.9130518","DOIUrl":"https://doi.org/10.1109/SoSE50414.2020.9130518","url":null,"abstract":"Online education is changing how teaching is done at universities and provides new opportunities to reach out to practitioners. In this paper, the development of an online course in systems-of-systems engineering is presented, as well as results from the first instance of the course. The paper describes how the course was designed; how it was produced; and experiences from giving it. Challenges with online education in the systems engineering subjects are also highlighted.","PeriodicalId":121664,"journal":{"name":"2020 IEEE 15th International Conference of System of Systems Engineering (SoSE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127876009","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 : 2020-06-01DOI: 10.1109/SoSE50414.2020.9130530
M. Siket, G. Eigner, L. Kovács
The growing cancer cases attract more and more scientific research and introductions of new models, applied control algorithms and methods. The models are fundamental in the area of computer generated low-dose metronomic (LDM) chemotherapy, when the administration of the drug is ought to be optimized. Generally the in-silico tests and investigations are based on a model, which is hypothesized to describe the given process reliably and accurately. The analysis of the models and its parameters is crucial for therapy generation. We performed an analysis of a third-order tumor growth model based on sensitivity analysis and identifiability tests. The results show that a subset of parameters can be fixed as population values and the rest of the parameter sets results in an identifiable system with minor loss of accuracy.
{"title":"Sensitivity and identifiability analysis of a third-order tumor growth model","authors":"M. Siket, G. Eigner, L. Kovács","doi":"10.1109/SoSE50414.2020.9130530","DOIUrl":"https://doi.org/10.1109/SoSE50414.2020.9130530","url":null,"abstract":"The growing cancer cases attract more and more scientific research and introductions of new models, applied control algorithms and methods. The models are fundamental in the area of computer generated low-dose metronomic (LDM) chemotherapy, when the administration of the drug is ought to be optimized. Generally the in-silico tests and investigations are based on a model, which is hypothesized to describe the given process reliably and accurately. The analysis of the models and its parameters is crucial for therapy generation. We performed an analysis of a third-order tumor growth model based on sensitivity analysis and identifiability tests. The results show that a subset of parameters can be fixed as population values and the rest of the parameter sets results in an identifiable system with minor loss of accuracy.","PeriodicalId":121664,"journal":{"name":"2020 IEEE 15th International Conference of System of Systems Engineering (SoSE)","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122996329","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 : 2020-06-01DOI: 10.1109/SoSE50414.2020.9130463
Ahmed Abdelmawgoud, P. Hershey
The Department of Defense conducts missions that include multiple missiles that communicate in order to successfully achieve mission goals. To accomplish this goal, delay in the multi-missile systems must be minimized. Algorithms exist that address portions of this problem by providing a consensus protocol that considers time-delayed communications for synchronized networks with fixed topologies. This paper expands this approach to provide a common consensus protocol that can be used in both fixed topology and switched topology communications networks. The effect of this enhancement is to dramatically reduce delay for multi-missile communications systems; thereby enabling more time-efficient consensus and improving mission success.
{"title":"Distributed Consensus Algorithm For Multi-Missile Networks With Switching-Topologies And Dynamically-Changed Delay (Dcams)","authors":"Ahmed Abdelmawgoud, P. Hershey","doi":"10.1109/SoSE50414.2020.9130463","DOIUrl":"https://doi.org/10.1109/SoSE50414.2020.9130463","url":null,"abstract":"The Department of Defense conducts missions that include multiple missiles that communicate in order to successfully achieve mission goals. To accomplish this goal, delay in the multi-missile systems must be minimized. Algorithms exist that address portions of this problem by providing a consensus protocol that considers time-delayed communications for synchronized networks with fixed topologies. This paper expands this approach to provide a common consensus protocol that can be used in both fixed topology and switched topology communications networks. The effect of this enhancement is to dramatically reduce delay for multi-missile communications systems; thereby enabling more time-efficient consensus and improving mission success.","PeriodicalId":121664,"journal":{"name":"2020 IEEE 15th International Conference of System of Systems Engineering (SoSE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124005713","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 : 2020-06-01DOI: 10.1109/SoSE50414.2020.9130480
U. Lenk
The article discusses similarities in the concepts of Smart Cities and Model-Based Systems Engineering and comes to the conclusion that there distinct commonalities, but obviously also differences in related achievements. Examples for commonalities are the need for interdisciplinary cooperation, use of standards, the need for a central information system, and even on sociological level there are analogies and similar challenges. As a consequence from the identified differences in their achievements some recommondations are given what both concepts can learn from each other, or where there is room for improvement.
{"title":"Smart Cities and MBSE: Comparison of Concepts","authors":"U. Lenk","doi":"10.1109/SoSE50414.2020.9130480","DOIUrl":"https://doi.org/10.1109/SoSE50414.2020.9130480","url":null,"abstract":"The article discusses similarities in the concepts of Smart Cities and Model-Based Systems Engineering and comes to the conclusion that there distinct commonalities, but obviously also differences in related achievements. Examples for commonalities are the need for interdisciplinary cooperation, use of standards, the need for a central information system, and even on sociological level there are analogies and similar challenges. As a consequence from the identified differences in their achievements some recommondations are given what both concepts can learn from each other, or where there is room for improvement.","PeriodicalId":121664,"journal":{"name":"2020 IEEE 15th International Conference of System of Systems Engineering (SoSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129886824","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 : 2020-06-01DOI: 10.1109/SoSE50414.2020.9130538
Muhammad Monjurul Karim, C. Dagli
Infrastructure inspection using unmanned aerial drones has a great potential to support complex inspection tasks especially where inspection task can be dangerous, dull or dirty. The increased number of systems in this type of inspection process makes it a very complex systems-of-systems (SoS) which is hard to assess. As a result, it becomes very difficult to satisfy all stakeholder needs and requirements. Therefore, an assessment system is required that can efficiently assess the meta-architecture of drone based inspection system. This paper presents a method to generate and evaluate systems of systems (SoS) architecture model for aerial inspection with drones. Where, a meta-architecture containing system component and a system to system interface is presented. To map the desired SoS attributes from stakeholders, different characteristics of the architecture capabilities are evaluated using some linguistic terms called key performance attributes (KPA). KPAs are combined in a Fuzzy Inference System (FIS) to evaluate an overall fitness value that is optimized using a Genetic Algorithm (GA) for the SoS within the meta-architecture. The integrated evaluation method presented in this paper utilizes the SoS explorer to evaluate the SoS meta-architecture using synthetic parameter values.
{"title":"SoS Meta-Architecture Selection for Infrastructure Inspection System Using Aerial Drones","authors":"Muhammad Monjurul Karim, C. Dagli","doi":"10.1109/SoSE50414.2020.9130538","DOIUrl":"https://doi.org/10.1109/SoSE50414.2020.9130538","url":null,"abstract":"Infrastructure inspection using unmanned aerial drones has a great potential to support complex inspection tasks especially where inspection task can be dangerous, dull or dirty. The increased number of systems in this type of inspection process makes it a very complex systems-of-systems (SoS) which is hard to assess. As a result, it becomes very difficult to satisfy all stakeholder needs and requirements. Therefore, an assessment system is required that can efficiently assess the meta-architecture of drone based inspection system. This paper presents a method to generate and evaluate systems of systems (SoS) architecture model for aerial inspection with drones. Where, a meta-architecture containing system component and a system to system interface is presented. To map the desired SoS attributes from stakeholders, different characteristics of the architecture capabilities are evaluated using some linguistic terms called key performance attributes (KPA). KPAs are combined in a Fuzzy Inference System (FIS) to evaluate an overall fitness value that is optimized using a Genetic Algorithm (GA) for the SoS within the meta-architecture. The integrated evaluation method presented in this paper utilizes the SoS explorer to evaluate the SoS meta-architecture using synthetic parameter values.","PeriodicalId":121664,"journal":{"name":"2020 IEEE 15th International Conference of System of Systems Engineering (SoSE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121449653","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 : 2020-06-01DOI: 10.1109/SoSE50414.2020.9130524
Ardavan Mohammadhassani, A. Teymouri, A. Mehrizi‐Sani, K. Tehrani
Distributed renewable energy resources (DER) are interfaced in a microgrid through power electronic converters (PEC). PECs utilize different types of sensors for their reliable and stable operation. However, as the ratings of a DER increase, its interfacing PEC becomes more sophisticated requiring more sensors. This will make PECs more vulnerable to sensor malfunctions, which may be caused by cyberattacks. This paper analyzes the performance of a microgrid under sensor malfunction attacks in PECs for different scenarios in MATLAB/SIMULINK and provides a final evaluation based on the acquired results.
{"title":"Performance Evaluation of an Inverter-Based Microgrid Under Cyberattacks","authors":"Ardavan Mohammadhassani, A. Teymouri, A. Mehrizi‐Sani, K. Tehrani","doi":"10.1109/SoSE50414.2020.9130524","DOIUrl":"https://doi.org/10.1109/SoSE50414.2020.9130524","url":null,"abstract":"Distributed renewable energy resources (DER) are interfaced in a microgrid through power electronic converters (PEC). PECs utilize different types of sensors for their reliable and stable operation. However, as the ratings of a DER increase, its interfacing PEC becomes more sophisticated requiring more sensors. This will make PECs more vulnerable to sensor malfunctions, which may be caused by cyberattacks. This paper analyzes the performance of a microgrid under sensor malfunction attacks in PECs for different scenarios in MATLAB/SIMULINK and provides a final evaluation based on the acquired results.","PeriodicalId":121664,"journal":{"name":"2020 IEEE 15th International Conference of System of Systems Engineering (SoSE)","volume":"282 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124508511","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 : 2020-06-01DOI: 10.1109/SoSE50414.2020.9130497
F. Wilking, B. Schleich, S. Wartzack
Model Based System Engineering is an approach that is not limited to the development activities of one system creating enterprise. In fact, many OEMs nowadays demand the contribution of their suppliers towards the continuous modelling of complex systems. Potentials of applying MBSE might vary and are connected to the constraints and resources of the applying company. This leads to different motivations throughout the value chain for applying MBSE. Especially the resulting additional effort gives rise to the question of generated benefits and the ROI of MBSE. While complex system manufacturers are benefiting from the approach through its complexity-grasping basis, suppliers might not benefit from it at all in their own development activities. With this paper the distribution along the value chain is analyzed and it is investigated how to compensate additional effort caused by MBSE for suppliers and SME.
{"title":"MBSE along the Value Chain – An Approach for the Compensation of additional Effort","authors":"F. Wilking, B. Schleich, S. Wartzack","doi":"10.1109/SoSE50414.2020.9130497","DOIUrl":"https://doi.org/10.1109/SoSE50414.2020.9130497","url":null,"abstract":"Model Based System Engineering is an approach that is not limited to the development activities of one system creating enterprise. In fact, many OEMs nowadays demand the contribution of their suppliers towards the continuous modelling of complex systems. Potentials of applying MBSE might vary and are connected to the constraints and resources of the applying company. This leads to different motivations throughout the value chain for applying MBSE. Especially the resulting additional effort gives rise to the question of generated benefits and the ROI of MBSE. While complex system manufacturers are benefiting from the approach through its complexity-grasping basis, suppliers might not benefit from it at all in their own development activities. With this paper the distribution along the value chain is analyzed and it is investigated how to compensate additional effort caused by MBSE for suppliers and SME.","PeriodicalId":121664,"journal":{"name":"2020 IEEE 15th International Conference of System of Systems Engineering (SoSE)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124912511","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 : 2020-06-01DOI: 10.1109/SoSE50414.2020.9130466
Omar Al-Debagy, P. Martinek
There is a migration trend toward microservices architecture coming from the monolithic applications. This research proposes a decomposition method that extracts microservices’ candidates through analyzing the application programming interface in order to extract the operations and the parameters. Then the operation names are converted into word representations using word embedding models. Next, semantically similar operations are clustered together to provide a microservice’ candidate. Additional step is to evaluate the proposed candidate using cohesion and complexity metrics. The proposed algorithm improved the decomposition approach for big applications but did not affect the decomposition of smaller applications.
{"title":"Extracting Microservices’ Candidates from Monolithic Applications: Interface Analysis and Evaluation Metrics Approach","authors":"Omar Al-Debagy, P. Martinek","doi":"10.1109/SoSE50414.2020.9130466","DOIUrl":"https://doi.org/10.1109/SoSE50414.2020.9130466","url":null,"abstract":"There is a migration trend toward microservices architecture coming from the monolithic applications. This research proposes a decomposition method that extracts microservices’ candidates through analyzing the application programming interface in order to extract the operations and the parameters. Then the operation names are converted into word representations using word embedding models. Next, semantically similar operations are clustered together to provide a microservice’ candidate. Additional step is to evaluate the proposed candidate using cohesion and complexity metrics. The proposed algorithm improved the decomposition approach for big applications but did not affect the decomposition of smaller applications.","PeriodicalId":121664,"journal":{"name":"2020 IEEE 15th International Conference of System of Systems Engineering (SoSE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129701356","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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