2016 11th System of Systems Engineering Conference (SoSE)最新文献

DATASEM: A simulation suite for SoSE management research DATASEM: sse管理研究的模拟套件

2016 11th System of Systems Engineering Conference (SoSE) Pub Date : 2016-08-15 DOI: 10.1109/SYSOSE.2016.7542954

R. Turner, L. Yilmaz, Jeffrey S. Smith, Donghuang Li, Saicharan Chada, Alice E. Smith, A. Tregubov

引用次数: 1

Self-organising supply networks: A case study of the SA mining industry 自组织供应网络:南非采矿业的案例研究

2016 11th System of Systems Engineering Conference (SoSE) Pub Date : 2016-08-15 DOI: 10.1109/SYSOSE.2016.7542919

L. Statsenko, V. Ireland, A. Gorod

{"title":"Self-organising supply networks: A case study of the SA mining industry","authors":"L. Statsenko, V. Ireland, A. Gorod","doi":"10.1109/SYSOSE.2016.7542919","DOIUrl":"https://doi.org/10.1109/SYSOSE.2016.7542919","url":null,"abstract":"For efficient operation, it is vital for supply chain management leaders and policy makers to recognize the nature of the system they deal with. Supply chains, are increasingly recognized as systems of systems, which are complex networks exhibiting self-organising properties. In large scale real-life networks, self-organisation manifests itself in distinctive structural patterns, such as Power Law connectivity distribution, scale-free, fractal, and nearly decomposable modular structure. Identification of such structural patterns in real-world supply networks may provide useful insights into their dynamics and functionality, and as a result, apply adequate governance frameworks to embrace structural complexity. To this end, the methods for identification of complexity traits in real-world industrial supply networks are of interest. A case study of the mining industry supply network in South Australia has been used to propose a method for identifying self-organisation patterns in regional industrial supply network structures. The approach combines network analysis and recent methods for testing Power Law distributions. The findings provide insights into the mining industry supply network functionality, including such operational characteristics as robustness, responsiveness, flexibility, and resilience.","PeriodicalId":381280,"journal":{"name":"2016 11th System of Systems Engineering Conference (SoSE)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116842381","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}

引用次数: 6

A reference architecture for the development of socio-cyber-physical condition monitoring systems 社会-网络-物理状态监测系统开发的参考体系结构

2016 11th System of Systems Engineering Conference (SoSE) Pub Date : 2016-06-12 DOI: 10.1109/SYSOSE.2016.7542963

Hans Fleischmann, Johannes Kohl, J. Franke

{"title":"A reference architecture for the development of socio-cyber-physical condition monitoring systems","authors":"Hans Fleischmann, Johannes Kohl, J. Franke","doi":"10.1109/SYSOSE.2016.7542963","DOIUrl":"https://doi.org/10.1109/SYSOSE.2016.7542963","url":null,"abstract":"Cyber-Physical Production Systems (CPPS) help to cope with complexity and offer the computing platforms for sophisticated data analytics in smart factories. Nevertheless, in the operation of CPPS, the integration of tacit knowledge of the human as a maintainer has not been considered yet for the improvement of monitoring and diagnosis processes in production systems. The basic motivation for this publication is the development of a framework for technical maintenance systems in the context of a cyber-physical production environment, which conforms to the reference architectural model of Industry 4.0 (RAMI 4.0). The aim of the proposed solution is a systematic link between the information available by machine data acquisition with the tacit knowledge of humans to attain a high level of transparency in plant operation. The implementation is based on web technologies and platforms that are suitable for the implementation of CPPS and usability-optimized HMI. The validation of the system is accomplished by a diagnosis system with the energy consumption of a six-axis handling unit in a demonstrator cell for mechatronic assemblies.","PeriodicalId":381280,"journal":{"name":"2016 11th System of Systems Engineering Conference (SoSE)","volume":"223 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127528766","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}

引用次数: 20

Useful deviations for deviation management information systems: From pulse methodology to a generic description 偏差管理信息系统的有用偏差:从脉冲方法学到一般描述

2016 11th System of Systems Engineering Conference (SoSE) Pub Date : 2016-06-12 DOI: 10.1109/SYSOSE.2016.7542929

O. Kaya, D. Bergsjö

引用次数: 0

Enhancing safety of transport by road by on-line monitoring of driver emotions 通过在线监测驾驶员情绪，提高道路交通安全

2016 11th System of Systems Engineering Conference (SoSE) Pub Date : 2016-06-12 DOI: 10.1109/SYSOSE.2016.7542941

S. D. Nadai, Massimo D'Inca, Francesco Parodi, Mauro Benza, Anita Trotta, Enrico Zero, Luca Zero, R. Sacile

{"title":"Enhancing safety of transport by road by on-line monitoring of driver emotions","authors":"S. D. Nadai, Massimo D'Inca, Francesco Parodi, Mauro Benza, Anita Trotta, Enrico Zero, Luca Zero, R. Sacile","doi":"10.1109/SYSOSE.2016.7542941","DOIUrl":"https://doi.org/10.1109/SYSOSE.2016.7542941","url":null,"abstract":"Driving while fatigued is dangerous and may result in car accidents. Moreover, adding technology to assist driving can distract the driver. In this work, we present a noninvasive and non-distracting method for monitoring driver emotions and fatigue. To the best of our knowledge, no scientifically agreed definition of emotions exists, as a physical state to be monitored. Emotion recognition is defined as measuring observations of motor system behavior that correspond with high probability to an underlying emotion or combination of emotions. This definition is based on the fact that measuring cognitive influences is currently impossible. In this work we have investigated driving sessions for identifying possible risks at drive in a certain itinerary, analyzing HRV trend. In general, HRV signals can be used as indicators of the responses of the autonomic nervous system (ANS) because the ANS is influenced by the sympathetic nervous system (SNS) and the parasympathetic nervous system (PNS). The first one (SNS) response to an alarm situation: struggle, stress, drowsiness (and other factors) while PNS, when is activated, produces a slowing down of heart rate and breathing therefore PNS is the normal response to a situation of calmness and absence of danger and stress. For the test, we have collected ECG signals (Electrocardiography) and driver position in 15 trips on 2 daily sessions, by 2 different drivers on the same path. Results show an interesting geospatial relationship of emotions on the travelled path.","PeriodicalId":381280,"journal":{"name":"2016 11th System of Systems Engineering Conference (SoSE)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114335577","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}

引用次数: 37

Fuzzy fault tree analysis of conventional propellant temperature control system 常规推进剂温度控制系统的模糊故障树分析

2016 11th System of Systems Engineering Conference (SoSE) Pub Date : 2016-06-12 DOI: 10.1109/SYSOSE.2016.7542898

LinLin Du, Qiang Li

引用次数: 2

Formally describing the software architecture of Systems-of-Systems with SosADL 用SosADL正式描述系统的软件体系结构

2016 11th System of Systems Engineering Conference (SoSE) Pub Date : 2016-06-12 DOI: 10.1109/SYSOSE.2016.7542926

F. Oquendo

引用次数: 70

Development of the xTAN method for cyber physical systems (CPS) under electromagnetic environment 电磁环境下网络物理系统(CPS) xTAN方法的发展

2016 11th System of Systems Engineering Conference (SoSE) Pub Date : 2016-06-12 DOI: 10.1109/SYSOSE.2016.7542960

O. Maurice, K. Tehrani, P. Durand

引用次数: 0

Use of evidential reasoning for eliciting Bayesian subjective probabilities in human reliability analysis 在人的可靠性分析中使用证据推理来引出贝叶斯主观概率

2016 11th System of Systems Engineering Conference (SoSE) Pub Date : 2016-06-12 DOI: 10.1109/SYSOSE.2016.7542948

Khalifa Mohamed Abujaafar, Zhuohua Qu, Zaili Yang, Jin Wang, Salman Nazir, Kjell Ivar Øvergård

引用次数: 6

A reflection on the use of A3 architecture overview in designing Wave Energy Converters 浅谈A3架构在波浪能转换器设计中的应用

2016 11th System of Systems Engineering Conference (SoSE) Pub Date : 2016-06-12 DOI: 10.1109/SYSOSE.2016.7542889

Emilie Folvik Aune, Henrik Lind, G. Muller

引用次数: 0