Johannes Unglert, Sipke Hoekstra, Juan Jauregui-Becker
{"title":"Evaluating a computational support tool for set-based configuration of production systems: Results from an industrial case","authors":"Johannes Unglert, Sipke Hoekstra, Juan Jauregui-Becker","doi":"10.1109/SYSOSE.2017.7994939","DOIUrl":"https://doi.org/10.1109/SYSOSE.2017.7994939","url":null,"abstract":"This paper describes research conducted in the context of an industrial case dealing with the design of re configurable cellular manufacturing systems. Reconfiguring such systems represents a complex task due to the interdependences between the constituent subsystems. A novel computational tool was developed to support the production engineers in (sub) system configuration by enabling to consider multiple alternative configurations simultaneously. The tool was tested by applying it in two realistic system engineering problems and conducting interviews to evaluate its effects. The prototype was found to be an effective and efficient approach to support exploring evaluating and selecting sets of system configurations. The findings suggest that the approach is applicable in practice and represents a means to strategically leverage the flexibility in production system design as well as to improve the efficiency of the engineering process. Hence further research could examine if the approach is useful in additional systems engineering domains.","PeriodicalId":439829,"journal":{"name":"2017 12th System of Systems Engineering Conference (SoSE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125991570","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":"Applying social network analysis to systems of systems: The case of the 2016 Puerto Rico power outage","authors":"James R. Enos, M. Mansouri, Roshi Rose Nilchiani","doi":"10.1109/SYSOSE.2017.7994933","DOIUrl":"https://doi.org/10.1109/SYSOSE.2017.7994933","url":null,"abstract":"In September 2016, a fire in one of Puerto Rico's ten major power stations left over 1.5 million people without power and blacked out a significant portion of the island. This massive failure of the power system of systems is an example of how systems engineers require better methods for understanding complex, networked systems of systems. This paper proposes adapting social network analysis tools and methods to system of systems analysis in order to provide insights into interconnected networks of systems. First, it explores the literature for systems engineering, system of systems engineering, and social network analysis to identify opportunities to improve system of systems methods. Then it presents a methodology that applies specific metrics from social network analysis to the Puerto Rico power grid. Specifically, it shows how various centrality metrics may indicate when a system of systems is vulnerable to network wide failures. By better understanding the interoperability of a system of systems, engineers may be able to improve the overall robustness of the system of system and prevent catastrophic failures such as the 2016 Puerto Rico power failure.","PeriodicalId":439829,"journal":{"name":"2017 12th System of Systems Engineering Conference (SoSE)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114997621","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":"Deriving stochastic properties from behavior models defined by Monterey Phoenix","authors":"John Quartuccio, K. Giammarco, M. Auguston","doi":"10.1109/SYSOSE.2017.7994961","DOIUrl":"https://doi.org/10.1109/SYSOSE.2017.7994961","url":null,"abstract":"Stochastic properties of behavior models are of interest to the developer of a System of Systems (SoS) in order to gain insight to the likelihood of potential outcomes of the system. Constraints added to the system introduce changes to the inherent dependencies within a representative Bayesian belief network; thereby impacting the system. This paper defines a probability process model that may be used to identify the probability of outcomes compliant with behavior models defined in Monterey Phoenix (MP), with constraints added to the model.","PeriodicalId":439829,"journal":{"name":"2017 12th System of Systems Engineering Conference (SoSE)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122124373","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":"Trends in large scale systems-of-systems for multi-national missile defense","authors":"T. Schuck, J. C. Kilian","doi":"10.1109/SYSOSE.2017.7994945","DOIUrl":"https://doi.org/10.1109/SYSOSE.2017.7994945","url":null,"abstract":"A Missile Defense System (MDS), outside of a specific application within a single country of manufacture, is architecturally a system-of-systems (SoS). It is a coupling (sometimes tight or loose depending on configuration) of independently managed components, subsystems, and discrete systems that must work together in difficult environments against capable threats. We define a Multinational Missile Defense System (MNMDS) as an MDS with these and other complex characteristics. We describe a number of drivers of the future of command and control in a MNMDS in the areas of engineered resilient systems, human-machine teaming, and regionalization. We then look at the large-scale SoS implications, network-centric operations (resource allocation and dynamic networks) and the systems concepts that embrace computational intelligence as a means for a more automated MDS.","PeriodicalId":439829,"journal":{"name":"2017 12th System of Systems Engineering Conference (SoSE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126382270","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":"A deep learning approach for mapping music genres","authors":"Sharaj Panwar, Arun Das, M. Roopaei, P. Rad","doi":"10.1109/SYSOSE.2017.7994970","DOIUrl":"https://doi.org/10.1109/SYSOSE.2017.7994970","url":null,"abstract":"Deep feature learning methods have been aggressively applied in the field of music tagging retrieval Genre categorization, mood classification, and chord detection are the most common tags from local spectral to temporal structure. Convolutional Neural networks (CNNs) using kernels extract the local features that are in different levels of hierarchy while Recurrent Neural Networks (RNNs) discover the global features to understand the temporal context, CRNN architectures as a powerful music tagging utilize the benefits of the both CNN and RNN structures. In this article a CRNN structure on MagnaTagA Tune dataset is proposed. The AUC-ROC index for the proposed architecture is 0.893 which shows its superiority rather than traditional structures on the same database. The merging mechanism to obtain 50 tags from the whole 188 existing tags of this dataset and simple CRNN architecture designed for tag discovering are the main contribution of this paper.","PeriodicalId":439829,"journal":{"name":"2017 12th System of Systems Engineering Conference (SoSE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131624547","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}
Stephen E. Gillespie, R. Giachetti, Alejandro S. Hernandez, Paul T. Beery, E. Paulo
{"title":"System of systems architecture feasibility analysis to support tradespace exploration","authors":"Stephen E. Gillespie, R. Giachetti, Alejandro S. Hernandez, Paul T. Beery, E. Paulo","doi":"10.1109/SYSOSE.2017.7994944","DOIUrl":"https://doi.org/10.1109/SYSOSE.2017.7994944","url":null,"abstract":"The exploration of a system of systems (SoS) tradespace is made much more efficient and effective with a method to first automatically screen a large number of SoS designs for feasibility. This is because not every combination of constituent systems is capable of forming a viable SoS, much less form a SoS that exhibits the desired emergent behavior(s). The SoS Architecture Feasibility Assessment Model (SoS-AFAM) assesses the feasibility of the physical communications, process, and organizational architectures of a SoS. The model applies algorithms based on the minimum requirements for viability relevant to all SoS such as connectivity and completeness. We present a case study to demonstrate how the algorithm can greatly prune the SoS tradespace of infeasible SoS design points, which can increase the efficiency of design exploration.","PeriodicalId":439829,"journal":{"name":"2017 12th System of Systems Engineering Conference (SoSE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124236682","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":"Identifying decision patterns using Monterey Phoenix","authors":"John Quartuccio, K. Giammarco, M. Auguston","doi":"10.1109/SYSOSE.2017.7994952","DOIUrl":"https://doi.org/10.1109/SYSOSE.2017.7994952","url":null,"abstract":"An automated means to identify behavior patterns would enable system developers to gain the benefit of past results in current and future system design. Analysis of decision patterns captures the interactions of human operators, systems, and their interface with the environment. Monterey Phoenix (MP) uses a formal language thereby exploiting the precision of lightweight formal methods as a means to model behaviors across domains, with applicability to the design of systems of systems, operational procedures, communication networks, business processes, and social interaction. This paper illustrates a concept of identifying patterns in a model of a decision process for a surgical procedure and an aviation emergency serving as case analyses. The results support a Bayesian belief network and an analysis of the decision structure. Finding embedded behavior patterns may be used as a means to catalog and classify intrinsic structures or architectures that are useful to system of system developers.","PeriodicalId":439829,"journal":{"name":"2017 12th System of Systems Engineering Conference (SoSE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114280556","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}
Aurelijus Morkevicius, Lina Bisikirskiene, G. Bleakley
{"title":"Using a systems of systems modeling approach for developing Industrial Internet of Things applications","authors":"Aurelijus Morkevicius, Lina Bisikirskiene, G. Bleakley","doi":"10.1109/SYSOSE.2017.7994942","DOIUrl":"https://doi.org/10.1109/SYSOSE.2017.7994942","url":null,"abstract":"Nowadays the modeling development process suffers from being an effort to meet project deadlines. Typically, the architecture effort is separated from the Systems Engineering (SE) leading to a lack of traceability from the system requirements and design to the architecture. An Industrial Internet of Things (IIoT) system connects and integrates systems and software engineering with enterprise systems, business processes, and analytics, which supports decision makers. Though it sounds promising, there are very limited formal techniques to define IIoT architectures. In this paper, an emerging international standard called the Unified Architecture Framework (UAF), its potential application to capture IIoT architectures, its ability to help the systems integrator to develop interoperable systems, with traceability to requirements and across different viewpoints, is analyzed. A mapping of the Industrial Internet Reference Architecture (IIRA) to UAF is described and a real-world case study is provided to show the application of the UAF to modeling IIoT architectures.","PeriodicalId":439829,"journal":{"name":"2017 12th System of Systems Engineering Conference (SoSE)","volume":"446 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123627074","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":"Red teaming in the age of IOT: Thoughts on framing the next generation of technical vulnerability assessment","authors":"R. Craft","doi":"10.1109/SYSOSE.2017.7994949","DOIUrl":"https://doi.org/10.1109/SYSOSE.2017.7994949","url":null,"abstract":"Red teaming, as it has been traditionally practiced, cannot adequately support assessment of the kinds of system of systems that IOT and related technologies will deliver. Ways must be found to transfer responsibility for system assessment from humans to the systems themselves. This will require an intentional, fundamental reframing of how the system assessment R&D community approaches its work.","PeriodicalId":439829,"journal":{"name":"2017 12th System of Systems Engineering Conference (SoSE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121399521","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}
J. Straub, Wafaa Amer, Christian Ames, K. Dayananda, Andrew Jones, Goutham Miryala, N. Olson, Noah Rockenback, Franklin Slaby, Santipab Tipparach, S. Fehringer, D. Jedynak, Haiming Lou, D. Martin, M. Olberding, Austin F. Oltmanns, Brady Goenner, Jessie Lee, Dylan Shipman
{"title":"An internetworked self-driving car system-of-systems","authors":"J. Straub, Wafaa Amer, Christian Ames, K. Dayananda, Andrew Jones, Goutham Miryala, N. Olson, Noah Rockenback, Franklin Slaby, Santipab Tipparach, S. Fehringer, D. Jedynak, Haiming Lou, D. Martin, M. Olberding, Austin F. Oltmanns, Brady Goenner, Jessie Lee, Dylan Shipman","doi":"10.1109/SYSOSE.2017.7994957","DOIUrl":"https://doi.org/10.1109/SYSOSE.2017.7994957","url":null,"abstract":"This paper presents an overview of the architecture of an internetworked self-driving car system-of-systems. The architecture considers both the car as a system-of-systems as well as multiple cars participation in a larger multi-vehicle system-of-systems. Each relevant aspect of the architecture is reviewed.","PeriodicalId":439829,"journal":{"name":"2017 12th System of Systems Engineering Conference (SoSE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122860292","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}