2018 IEEE International Systems Engineering Symposium (ISSE)最新文献_第8页

System Engineering in an Unknown Aerial Environment for a Communications System 未知航空环境下通信系统的系统工程

2018 IEEE International Systems Engineering Symposium (ISSE) Pub Date : 2018-10-01 DOI: 10.1109/SYSENG.2018.8544441

C. O’Keefe, Chayil Timmerman

引用次数: 0

Knowledge Transfer from Universities to Regions as a Network Spreading Process 大学知识向地区转移是一个网络传播过程

2018 IEEE International Systems Engineering Symposium (ISSE) Pub Date : 2018-10-01 DOI: 10.1109/SYSENG.2018.8544398

Arturo Melo, Carolyn L. Beck, J. I. Peña, Philip E. Paré

{"title":"Knowledge Transfer from Universities to Regions as a Network Spreading Process","authors":"Arturo Melo, Carolyn L. Beck, J. I. Peña, Philip E. Paré","doi":"10.1109/SYSENG.2018.8544398","DOIUrl":"https://doi.org/10.1109/SYSENG.2018.8544398","url":null,"abstract":"In developing countries it is necessary to understand how knowledge transfer (KT) occurs via human capital from universities to regions. This transfer can be viewed as diffusion process and is one essential factor in explaining regional innovation and resulting socioeconomic developments. This phenomenon has been studied at the organizational level, however there are few contributions that consider spreading process models over networks in the macro context. This paper presents a KT model of human capital from university nodes to productive organization nodes for seven Colombian regions, and examines how the proportion of graduates absorbed by each region generates new knowledge products. The phenomenon we consider is based on the susceptible-infected-susceptible (SIS) epidemic process, where the spread parameters are related to the knowledge absorption capacity and the ineffectiveness or unused knowledge of the previous spreading process in the region. In addition, the model tries to explain the dependence of knowledge products (KP) with Science, Technology, Engineering and Math (STEM) graduates and the productive structure complexity. To validate the model, we have used the data of13 consecutive years obtained from the Education Ministry, as well as from the Science and Technology Observatory of Colombia. Our findings reflect that the proposed model explains the KT phenomenon, where each node or region is a heterogeneous node, because they have different absorption and ineffectiveness parameters, as well as, diverse productive structure configurations.","PeriodicalId":192753,"journal":{"name":"2018 IEEE International Systems Engineering Symposium (ISSE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132793936","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: 10

Model predictive trajectory control for automated driving of a spherical electrical drive 球形电传动自动驾驶模型预测轨迹控制

2018 IEEE International Systems Engineering Symposium (ISSE) Pub Date : 2018-10-01 DOI: 10.1109/SYSENG.2018.8544421

Marian Göllner, Jie Zhang, X. Liu-Henke

引用次数: 1

Modular Test Bed for Magnetic Brakes Characterization And Durability Testing 磁制动器特性与耐久性测试模块化试验台

2018 IEEE International Systems Engineering Symposium (ISSE) Pub Date : 2018-10-01 DOI: 10.1109/SYSENG.2018.8544432

T. Addabbo, A. Fort, Elia Landi, M. Tani, M. Mugnaini, V. Vignoli, A. Elmi

引用次数: 1

Model-Based Systems Engineering Applied to the Trajectory Planning for Autonomous Vehicles 基于模型的系统工程在自动驾驶汽车轨迹规划中的应用

2018 IEEE International Systems Engineering Symposium (ISSE) Pub Date : 2018-10-01 DOI: 10.1109/SYSENG.2018.8544452

Siddharth Bansal, F. Alimardani, J. Baras

{"title":"Model-Based Systems Engineering Applied to the Trajectory Planning for Autonomous Vehicles","authors":"Siddharth Bansal, F. Alimardani, J. Baras","doi":"10.1109/SYSENG.2018.8544452","DOIUrl":"https://doi.org/10.1109/SYSENG.2018.8544452","url":null,"abstract":"Passing maneuver is a complex driving maneuver critical to success of autonomous vehicles. It becomes more challenging in two-way roads. In this study, a passing scenario with three vehicles is considered where car 1, an autonomous vehicle (AV), is moving behind car 2 (human-driven) in the same lane and car 3 (human-driven) is part of the oncoming traffic in the adjacent lane. The primary goal is to develop a framework to analyze measurement-based decision-making strategies for the AV satisfying driving safety constraints and while considering collaboration amongst drivers. The problem is structured using SysML to build a modular architecture with clearly defined interfaces and allocated behaviors. Mathematical models have been modeled in MATLAB. The integrated model of the car passing problem was then executed in MATLAB to study the effect of collaboration on safety of car 1 if car 1 decides to pass. It was observed that the controller of car 1 made the correct decision whether to execute the passing maneuver or not, based on the feasibility of the maneuver. When car 1 decided to pass, the collaboration between the autonomous vehicle and the humandriven vehicles reduced the crashes if car 1's decision was erroneous due to measurement noise. The work demonstrates how a Model-Based Systems Engineering approach can be used in the context of the car passing problem to manage complexity, developing virtual prototypes for analysis and deriving design requirements for autonomous vehicles.","PeriodicalId":192753,"journal":{"name":"2018 IEEE International Systems Engineering Symposium (ISSE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133082550","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: 1

ISSE 2018 Author Index ISSE 2018作者索引

2018 IEEE International Systems Engineering Symposium (ISSE) Pub Date : 2018-10-01 DOI: 10.1109/syseng.2018.8544403

引用次数: 0

Managing Health Information System-of-Systems by Engineering Systems Multiple-Domain Modeling Approach Considering Spatiotemporal Dynamics 考虑时空动态的工程系统多域建模方法管理卫生信息系统的系统

2018 IEEE International Systems Engineering Symposium (ISSE) Pub Date : 2018-10-01 DOI: 10.1109/SYSENG.2018.8544415

Suguru Okami, N. Kohtake

{"title":"Managing Health Information System-of-Systems by Engineering Systems Multiple-Domain Modeling Approach Considering Spatiotemporal Dynamics","authors":"Suguru Okami, N. Kohtake","doi":"10.1109/SYSENG.2018.8544415","DOIUrl":"https://doi.org/10.1109/SYSENG.2018.8544415","url":null,"abstract":"Despite the substantial efforts of various stakeholders, numerous people do not have sufficient access to healthcare services. Though the reliability and timeliness of the health information collected in the healthcare system play critical roles in realizing appropriate healthcare resource allocation, the quality of the health information continues to be of concern. Because the health information system is a system-of-systems that transforms over time in response to the changing environment and needs of the stakeholders, it is important to understand the conditions of transitioning it continuously to improve the data quality. This study examined the continuous management of the health information system-of-systems by the engineering systems multiple-domain modeling approach. The engineering systems multiple-domain matrix framework was applied to model the Cambodian malaria surveillance system. By including the spatiotemporal dynamics of the environmental attributes in the model along with the architectural and process transformation, the transitions of the relative weights of the constituent systems were scored at each interval of time. These scores could be used to optimize the healthcare resource allocation continuously, whereas the considered architectural, process, and environmental changes could contribute to the sustained healthcare access by people.","PeriodicalId":192753,"journal":{"name":"2018 IEEE International Systems Engineering Symposium (ISSE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128178159","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: 0

Synchronization between Run-Time and Design-Time View of Context-Aware Automotive System Architectures 上下文感知汽车系统架构的运行时和设计时视图之间的同步

2018 IEEE International Systems Engineering Symposium (ISSE) Pub Date : 2018-10-01 DOI: 10.1109/SYSENG.2018.8544454

Philipp Obergfell, Christoph Segler, E. Sax, A. Knoll

{"title":"Synchronization between Run-Time and Design-Time View of Context-Aware Automotive System Architectures","authors":"Philipp Obergfell, Christoph Segler, E. Sax, A. Knoll","doi":"10.1109/SYSENG.2018.8544454","DOIUrl":"https://doi.org/10.1109/SYSENG.2018.8544454","url":null,"abstract":"In contrast to current automotive system architectures, future architectures will continuously gain knowledge at run-time with the help of machine learning techniques. For making this knowledge visible to the developer, synchronization mechanisms between run-time systems and design-time models have to be introduced. In this paper, we propose a framework for continuously updating design-time models with learned knowledge from the run-time system. The core of our framework is a system architecture with a gateway which retrieves data from different car functions. On this gateway, feature selection algorithms are implemented in order to select a data subset that describes the nominal behavior for the usage of car functions. Considering the resulting nominal model as baseline, the run-time system is able to detect violations of the nominal behavior. For assessing these violations from the perspective of a developer, we connect the run-time system with the design-time models by means of a semi-automatic feedback loop. For the evaluation, we test our approach on an exemplary scenario based on the function of the window lever by using real car data.","PeriodicalId":192753,"journal":{"name":"2018 IEEE International Systems Engineering Symposium (ISSE)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126620186","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: 4

Research on Critical Node Analysis Method of New Combat SoS 新型作战SoS关键节点分析方法研究

2018 IEEE International Systems Engineering Symposium (ISSE) Pub Date : 2018-10-01 DOI: 10.1109/SYSENG.2018.8544439

Hua He, Zhifei Li, Weiping Wang, Wei Zhou, Yifan Zhu, Xiaobo Li

{"title":"Research on Critical Node Analysis Method of New Combat SoS","authors":"Hua He, Zhifei Li, Weiping Wang, Wei Zhou, Yifan Zhu, Xiaobo Li","doi":"10.1109/SYSENG.2018.8544439","DOIUrl":"https://doi.org/10.1109/SYSENG.2018.8544439","url":null,"abstract":"Since the US military experienced several local wars, it deeply recognized the importance of the unmanned combat systems. Nowadays, with the improvement of the autonomy of weapons and equipment, the number and scale of unmanned equipment are becoming larger and larger, and the task is becoming more and more extensive. Unmanned combat presents some new characteristics like distribute networked and traditional force coordination. For example, the modular fire brigade proposed by the US military is a typical traditional force coordination with unmanned organizational structure. Such organizations also have their key entities and relationships just like traditional organizations. It is necessary to analyze in detail such a complex military organization, and to analyze its key entity so that it can be well protected in the case of an attack. This paper extend the Force, Intelligence, Network, and C2 (Command and Control) (FINC) model to the Force, Intelligence, Network, C2, and Autonomous (FINCA) model. Based on the original model, it adds a node (A) with a new unmanned combat force that has the function of inspection and integration, and according to the characteristics of the A node, added the type of edge (self-circulation). This model provides a formal representation of nodes and edges in a new type of military organization with an efficient and concise network topology. In order to identify key nodes, this paper introduced five critical analysis methods using the US Fire Brigade as a case, and designs comprehensive performance metrics covering heterogeneous nodes to verify the effectiveness of critical analysis methods.","PeriodicalId":192753,"journal":{"name":"2018 IEEE International Systems Engineering Symposium (ISSE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121654119","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: 1

Hyper Space Exploration A Multicriterial Quantitative Trade-Off Analysis for System Design in Complex Environment 超空间探索:复杂环境下系统设计的多准则定量权衡分析

2018 IEEE International Systems Engineering Symposium (ISSE) Pub Date : 2018-06-14 DOI: 10.1109/SYSENG.2018.8544435

Herbert Palm

{"title":"Hyper Space Exploration A Multicriterial Quantitative Trade-Off Analysis for System Design in Complex Environment","authors":"Herbert Palm","doi":"10.1109/SYSENG.2018.8544435","DOIUrl":"https://doi.org/10.1109/SYSENG.2018.8544435","url":null,"abstract":"Successful engineering requires environmentally adapted procedural and architectural approaches. While dealing with complicated issues has become an engineering standard, mastering uncertainties in complex environment is still a major issue. Global trends, such as an increasing rate of disruptive (non-evolutionary) technology changes or merging of technology fields, however, enforce the importance of complex problems dominated by a lack of engineering knowledge.This paper presents a novel approach of system design methodology in a complex environment called Hyper Space Exploration (HSE). The HSE approach combines methods of virtual prototyping with those of design of virtual experiments based studies for statistical learning. Virtual prototyping allows an early feedback on system behavior with a proof-of-concept prior implementation. Statistical learning enables system architects to systematically build up the space of potential solution alternatives, model the effects of design and use case variables on target indicators in complex territory, quantity target indicator trade-offs, and finally identify Pareto-optimal system solutions.The first part of the paper characterizes engineering challenges in complex environment. Section two presents the HSE methodology with its two major constituents work flow (part A) and tool chain (part B). Section three outlines first successful HSE applications that have already proved HSE capabilities and its universality. Final section four gives an outlook to further HSE applications as well as methodological future HSE extensions.","PeriodicalId":192753,"journal":{"name":"2018 IEEE International Systems Engineering Symposium (ISSE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115594434","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: 2