2023 IEEE International Systems Conference (SysCon)最新文献_第3页

A Simulation Model for the Optimization of Crew Transport Vessels to Service Offshore Wind Farms 海上风电场船员运输船优化仿真模型

2023 IEEE International Systems Conference (SysCon) Pub Date : 2023-04-17 DOI: 10.1109/SysCon53073.2023.10131051

Natalie Holliday, L. D. Otero

引用次数: 0

SysCon 2023 Cover Page SysCon 2023封面

2023 IEEE International Systems Conference (SysCon) Pub Date : 2023-04-17 DOI: 10.1109/syscon53073.2023.10131093

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Human Factors Affecting the Adoption of Healthcare 4.0 影响采用医疗保健4.0的人为因素

2023 IEEE International Systems Conference (SysCon) Pub Date : 2023-04-17 DOI: 10.1109/SysCon53073.2023.10131064

J. Al-Jaroodi, N. Mohamed, Nader Kesserwan, I. Jawhar

{"title":"Human Factors Affecting the Adoption of Healthcare 4.0","authors":"J. Al-Jaroodi, N. Mohamed, Nader Kesserwan, I. Jawhar","doi":"10.1109/SysCon53073.2023.10131064","DOIUrl":"https://doi.org/10.1109/SysCon53073.2023.10131064","url":null,"abstract":"Recent advances in digitalizing healthcare services and related systems show great promise of effective use of technology to enhance the healthcare sector. Healthcare and healthcare-related industries are moving forward with the adoption of various smart services and Healthcare 4.0 systems to reduce costs, improve care, and enhance patient satisfaction. However, the research and development communities are offering a lot of innovative frameworks, applications and techniques to fully transform the healthcare industry into Healthcare 4.0. Adopting such technologies and solutions face various challenges. Some are technical and many of these are solvable, some financial, which can be addressed, somehow; yet, there are other obstacles hindering the efforts, namely, humans! Smart systems in general are invasive and require people to accept how these systems will be involved in their every day life. This leads to another important aspect, trust, as such invasive behavior require humans to trust these systems and those who operate them. They may also replace human interactions, which many see as essential for successful patient/practitioner relationships. Moreover, some view these as replacement for human workers, which may lead to layoffs and financial hardships. In this paper, we investigate the human factor affecting the acceptance and adoption of Healthcare 4.0 and smart healthcare systems among the different stakeholders. We will review current work on the topic and identify the major factors with respect to how they affect stakeholders and whether these are solvable with advances in technology. We see that technology can help solve many of the issues affecting human’s acceptance, yet there are also ones that are not, no matter how advanced the technology can get.","PeriodicalId":169296,"journal":{"name":"2023 IEEE International Systems Conference (SysCon)","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126932984","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

Challenges and Opportunities in the Digital Engineering Simulation Curriculum Development 数字工程仿真课程开发的挑战与机遇

2023 IEEE International Systems Conference (SysCon) Pub Date : 2023-04-17 DOI: 10.1109/SysCon53073.2023.10131107

H. Y. Tao, Nicole Hutchison, Megan M. Clifford, G. Kerr, P. Beling, Tim Sherburne, Paul Wach, David Long, Craig Arndt, D. Verma, Thomas A. McDermott

{"title":"Challenges and Opportunities in the Digital Engineering Simulation Curriculum Development","authors":"H. Y. Tao, Nicole Hutchison, Megan M. Clifford, G. Kerr, P. Beling, Tim Sherburne, Paul Wach, David Long, Craig Arndt, D. Verma, Thomas A. McDermott","doi":"10.1109/SysCon53073.2023.10131107","DOIUrl":"https://doi.org/10.1109/SysCon53073.2023.10131107","url":null,"abstract":"This paper presents the ongoing Year 2 of digital engineering (DE) simulation curriculum development by a research team from the Systems Engineering Research Center (SERC). This task, sponsored by the Defense Acquisition University (DAU), builds on the extensive DE research portfolio in SERC and leverages the existing literature in the systems engineering and DE communities. The goal of the research is to create a robust learning platform with relevant hands-on modeling and simulation experience that can be used to improve students’ DE proficiency levels across the workforce. Part of this research effort includes DAU’s partnership with SERC to develop a Simulation Training Environment for Digital Engineering (STEDE), which is intended to provide infrastructure and example case studies that allow DAU students to interact directly with models. The paper describes the curriculum development and modeling efforts to-date and addresses challenges associated with the development of the learning materials. An Advisory Board was established to provide guidance and expert knowledge in DE as the team is developing the DE curriculum. Working with the Advisory Board, the team discovered some critical skill gaps in DE which provide an opportunity for the team to further enhance the training and curriculum development to modernize the defense acquisition workforce.","PeriodicalId":169296,"journal":{"name":"2023 IEEE International Systems Conference (SysCon)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133598543","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

Why is there complexity in engineering? A scoping review on complexity origins 为什么工程会有复杂性?对复杂性起源的范围界定回顾

2023 IEEE International Systems Conference (SysCon) Pub Date : 2023-04-17 DOI: 10.1109/SysCon53073.2023.10131068

Gisela A. Garza Morales, K. Nizamis, G. M. Bonnema

{"title":"Why is there complexity in engineering? A scoping review on complexity origins","authors":"Gisela A. Garza Morales, K. Nizamis, G. M. Bonnema","doi":"10.1109/SysCon53073.2023.10131068","DOIUrl":"https://doi.org/10.1109/SysCon53073.2023.10131068","url":null,"abstract":"Background: An alternative to the difficulty of defining complexity is to explore its origins. This promising way of dealing with complexity, however, is currently hindered by a major shortcoming. We currently have various perspectives, terms, contexts, complexity study objectives, etc. This impedes consensus and overview of the complexity origins within the systems engineering communityObjective: We explored this variety through a scoping review covering the variety in the complexity terms (RQ1), complexity classifications (RQ2), engineering contexts (RQ3), and complexity study objectives (RQ4).Design: Four online databases were used to identify papers published 2012-2022, from which we selected 72 publications. Included publications had the word \"complexity\" in their title and abstract and discussed its origins or classifications.Results: We mapped 42 terms referring to complexity origins. We found over 300 classes and subclasses of complexity, which we organized in 31 clusters. We identified 29 engineering contexts interested in complexity origins. Finally, we identified five complexity study objectives, and their mapping showed that less than half the screened papers (31) were concered with identification of complexity origins.Conclusions: While it might not be necessary (or even possible) to have one single term or one single classification, it is currently very difficult to work with the extremely large number of different terms, and classes. Future efforts should also focus on unification, clarification, and standardization of the terminology and the classifications of complexity origins, which can get us closer to reaping the benefits of the already existing contributions.","PeriodicalId":169296,"journal":{"name":"2023 IEEE International Systems Conference (SysCon)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130759372","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

A DoD Testing Profile: MBSE for Test and Evaluation Strategy 国防部测试概要:测试和评估策略的MBSE

2023 IEEE International Systems Conference (SysCon) Pub Date : 2023-04-17 DOI: 10.1109/SysCon53073.2023.10131109

J. Colombi, Travis W. Odom, Warren J Connell

引用次数: 0

Modeling A UAV Surveillance Scenario- An Applied MBSE Approach 无人机监视场景建模-一种应用MBSE方法

2023 IEEE International Systems Conference (SysCon) Pub Date : 2023-04-17 DOI: 10.1109/SysCon53073.2023.10131074

Viviana Lopez, Aditya Akundi

{"title":"Modeling A UAV Surveillance Scenario- An Applied MBSE Approach","authors":"Viviana Lopez, Aditya Akundi","doi":"10.1109/SysCon53073.2023.10131074","DOIUrl":"https://doi.org/10.1109/SysCon53073.2023.10131074","url":null,"abstract":"As the complexity of both products and systems increases across a wide range of industry sectors, there has been an influx in demand for methods of system organization and optimization. MBSE enhances the ability to obtain, analyze, communicate, and manage data on a comprehensive architecture of a system. In this study, a military combat surveillance scenario is modeled using SysML generating state machine diagrams and activity diagrams using the Magic Model Analyst execution framework plugin. This study seeks to prove the feasibility of an MBSE-enabled framework using SysML to create and simulate a surveillance system that monitors and reports on the health status and performance of an armored fighting vehicle (combat tank) through an Unmanned Ariel Vehicle (UAV). The Magic System of Systems Architect, which actively promotes system development architectural frameworks, was used to construct SysML-compliant models, allowing the creation of intricate model diagrams. The construction of the UAV surveillance scenario emphasized the capability of modifying a diagram feature and ensuring that the alteration is communicated to all linked model diagrams. This study builds on a previously published MBSE-enabled conceptual framework for creating digital twins. The purpose of this research is to test and validate the framework's procedures.","PeriodicalId":169296,"journal":{"name":"2023 IEEE International Systems Conference (SysCon)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133291551","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

Data-Driven Approach with Machine Learning to Reduce Subjectivity in Multi-Attribute Decision Making Methods 基于数据驱动的机器学习方法减少多属性决策方法中的主观性

2023 IEEE International Systems Conference (SysCon) Pub Date : 2023-04-17 DOI: 10.1109/SysCon53073.2023.10131094

Mohammadreza Torkjazi, Ali K. Raz

{"title":"Data-Driven Approach with Machine Learning to Reduce Subjectivity in Multi-Attribute Decision Making Methods","authors":"Mohammadreza Torkjazi, Ali K. Raz","doi":"10.1109/SysCon53073.2023.10131094","DOIUrl":"https://doi.org/10.1109/SysCon53073.2023.10131094","url":null,"abstract":"Multi-Attribute Decision Making (MADM) methods are an integral component of trade-off studies which are frequently employed in Systems Engineering when multiple interdependent decision criteria are involved. In MADM methods, each decision criterion is assigned a weight based on how important it is to the Decision-Makers (DMs), and a decision matrix is populated with values representing assessments of each alternative with respect to the decision criteria. MADM methods, therefore, are susceptible to subjectivity due to inherent bias in DM’s preferences where slight fluctuation in stated DM’s preference can drastically impact the outcome. In this paper, we propose a data-driven methodology with Machine Learning to improve the effectiveness of MADM methods by reducing DMs’ subjective biases resulting from criteria weights. In addition, the proposed methodology leverages Exploratory Data Analysis to better determine the type of criteria as cost or benefit, depending upon whether it positively or negatively affects the MADM outcome. A sample trade study example of selecting a metropolitan area based on housing affordability is provided to illustrate how the proposed method is applied to generate data-based true criteria weights and types.","PeriodicalId":169296,"journal":{"name":"2023 IEEE International Systems Conference (SysCon)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133980622","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

Applying a MBSE Methodology in Small Scale Technology Development 1 MBSE方法在小规模技术开发中的应用

2023 IEEE International Systems Conference (SysCon) Pub Date : 2023-04-17 DOI: 10.1109/SysCon53073.2023.10131099

Dean Revell, David C. Gross, Gong Zhou, Adrian Hernandez

{"title":"Applying a MBSE Methodology in Small Scale Technology Development 1","authors":"Dean Revell, David C. Gross, Gong Zhou, Adrian Hernandez","doi":"10.1109/SysCon53073.2023.10131099","DOIUrl":"https://doi.org/10.1109/SysCon53073.2023.10131099","url":null,"abstract":"The present work reports on experiences gleaned in the application of systems engineering on a research project whose objective is technology development. The benefits of systems engineering for system development throughout the lifecycle are well known. Inclusion of systems engineering has a measurable and significant beneficial effect on system development project performance measured by costs, schedules, and features implemented. Technology development however differs from product or service-oriented development and the potential systems engineering for such are unknown. The authors sought to utilize proven MBSE methodologies to aid in a research project for an emerging technology. The project addressed by the present work was a Phase I Small Business Innovative Research Project to determine the feasibility and utility of wireless acoustic power transfer systems in an operational environment. The purpose of this paper therefore is to report on the selection and application of a MBSE methodology for this small-scale technology development program. A summary of the work performed by the MBSE team is given, along with example modeling products and their intended uses. It discusses missteps as well as successes and from its findings proposes additional research to develop a method to evaluate these methodologies based on the nature of the project.","PeriodicalId":169296,"journal":{"name":"2023 IEEE International Systems Conference (SysCon)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114569572","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

Ensemble Method For Fault Detection & Classification in Transmission Lines Using ML 基于ML的输电线路故障检测与分类集成方法

2023 IEEE International Systems Conference (SysCon) Pub Date : 2023-04-17 DOI: 10.1109/SysCon53073.2023.10131138

Muhammad Hayyan Bin Shahid, Akramul Azim

{"title":"Ensemble Method For Fault Detection & Classification in Transmission Lines Using ML","authors":"Muhammad Hayyan Bin Shahid, Akramul Azim","doi":"10.1109/SysCon53073.2023.10131138","DOIUrl":"https://doi.org/10.1109/SysCon53073.2023.10131138","url":null,"abstract":"Faults in a transmission line (TL) are the most common faults faced by almost every power station. Suppose these faults are not detected in time. In that case, they can result in multiple losses, such as a loss in an estimated power generation w.r.t predicted time and financial losses. In order to investigate the fault, the systematic approach of an engineer would be first to detect whether there is a fault or not. If a fault is detected in the transmission line, it should be classified as soon as possible. The following classifications would help the maintenance team identify the fault type: line fault, line-to-line fault, double line fault, triple line fault, single-line-to-ground fault, double line-to-ground fault, three-phase fault, and no fault. This paper proposes that the ensemble method, using the Machine Learning (ML) technique, will help the engineers detect and classify the faults in the transmission line. The investigation also trained and tested multiple ML classifiers to inform better recommendations. The shared research will help the user find the best possible ML results for predicting faults in the transmission line. Hence early and accurate fault detection will enhance safety and reliability and reduce interruption and downtime.","PeriodicalId":169296,"journal":{"name":"2023 IEEE International Systems Conference (SysCon)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114617873","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