2021 IEEE International Systems Conference (SysCon)最新文献_第6页

Maintaining the Consistency of SysML Model Exports to XML Metadata Interchange (XMI) 维护SysML模型导出到XML元数据交换(XML Metadata Interchange, XML)的一致性

2021 IEEE International Systems Conference (SysCon) Pub Date : 2021-04-15 DOI: 10.1109/SysCon48628.2021.9447105

Holly A. H. Handley, Wael Khallouli, Jingwei Huang, W. Edmonson, Nadew Kibret

{"title":"Maintaining the Consistency of SysML Model Exports to XML Metadata Interchange (XMI)","authors":"Holly A. H. Handley, Wael Khallouli, Jingwei Huang, W. Edmonson, Nadew Kibret","doi":"10.1109/SysCon48628.2021.9447105","DOIUrl":"https://doi.org/10.1109/SysCon48628.2021.9447105","url":null,"abstract":"The System Modeling Language (SysML) is a visual modeling language that can be used to describe the structure and behavior of a system. Modeling tools can be used to capture the variety of diagrams and maintain the consistency of elements across the different structural and behavioral representations of the system. Current research is investigating using the XML Metadata Interchange (XMI) standard to convert the diagrammatic information captured in SysML into a format that can be used to produce software code that can then be simulated to ensure conformance with system requirements. The XMI standard can be used as an interim format to migrate the content from a diagrammatic representation, where system elements are sorted by the diagram that contains them, to an object approach, where all elements related to an entity reside in a tree structure below that element. This paper presents a method to ensure the consistency of the XMI representation regardless of whether a functional or physical system engineering approach is used for the design process. This has implications in maintaining the consistency of the XMI file when system development is initiated from a high level of abstraction, followed by iterative addition of detail. The goal is to ensure that XMI file maintains an authoritative representation of the modeled system.","PeriodicalId":384949,"journal":{"name":"2021 IEEE International Systems Conference (SysCon)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117001973","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: 5

An Initial Set of Heuristics for Handling Organizational Complexity 处理组织复杂性的一组初始启发式

2021 IEEE International Systems Conference (SysCon) Pub Date : 2021-04-15 DOI: 10.1109/SysCon48628.2021.9447087

Dean Beale, T. Tryfonas

{"title":"An Initial Set of Heuristics for Handling Organizational Complexity","authors":"Dean Beale, T. Tryfonas","doi":"10.1109/SysCon48628.2021.9447087","DOIUrl":"https://doi.org/10.1109/SysCon48628.2021.9447087","url":null,"abstract":"The inability to handle rising complexity effectively is often the cause of project, organizational, enterprise, and even societal collapse. A tractable set of heuristics for handling complexity that can mitigate this risk is consequently highly sought. However, conventional experience-based approaches for identifying complexity handling advice tend to lead to informed but complicated constructs that may be considered over-prescriptive and burdensome for handling complex problems, especially when the need for this support is acute. Further the cacophony of advice, with their tailored lexicons, can cause organizational confusion. This paper explores the development of a simple set of heuristics using an inductive approach that seeks to reduce the decision space and add insight without being overly prescriptive or complicated. An initial set of Heuristics are developed using first-principles. These are then tested and proven by comparison with the dominant discourse in a literature search, to assess if they are simplifying and contributing to established practice, and assessed in a survey to determine if they are useful compared to other similar sets. It is concluded that the proposed set are more useful than similar sets, and that the simplified set of seven heuristics should be developed further to complement other approaches that aim to inform decision-makers in projects, organizations, and society as they seek to handle complexity effectively.","PeriodicalId":384949,"journal":{"name":"2021 IEEE International Systems Conference (SysCon)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124403060","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: 3

A Model-Based Approach to Document Software Toolchains for Supporting a Safety Analysis 基于模型的支持安全分析的文档软件工具链方法

2021 IEEE International Systems Conference (SysCon) Pub Date : 2021-04-15 DOI: 10.1109/SysCon48628.2021.9447128

Stephan Baumgart, Yin Chen, Rasmus Hamrén, S. Punnekkat

{"title":"A Model-Based Approach to Document Software Toolchains for Supporting a Safety Analysis","authors":"Stephan Baumgart, Yin Chen, Rasmus Hamrén, S. Punnekkat","doi":"10.1109/SysCon48628.2021.9447128","DOIUrl":"https://doi.org/10.1109/SysCon48628.2021.9447128","url":null,"abstract":"The increasing use of embedded systems to provide new functionality and customer experience requires developing the embedded systems carefully. As a new challenge, autonomous systems are developed to be working in a fleet to provide production workflows. Developing such a system-of-systems requires utilizing various software tools to manage the complexity. One task in developing safety-critical products, in general, is to analyze if the applied tools can introduce failures into the final product. Today’s functional safety standards consider only single software tools for analysis. In our industrial work, we can observe a trend towards supporting product lines. A common configurable platform is developed to support a range of different products. Developing such a platform and supporting variability, a toolchain is created where software tools are glued together using scripts to support product lines and automatically generate compiled code. The current functional safety standards do not straight forward support this. This paper discusses how software tools need to support functional safety and show limitations by providing an industrial case. We provide a model-based approach to describe a toolchain and show its application to an industrial case. To analyze potential failures in the toolchain, we utilize the HAZOP method and show its application.","PeriodicalId":384949,"journal":{"name":"2021 IEEE International Systems Conference (SysCon)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131294357","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

Strengthening the Practical Capacity of Students: an Educational Case Study about Teaching Feedback in Electronics Circuit 加强学生的实践能力:电子电路课教学反馈的教育案例研究

2021 IEEE International Systems Conference (SysCon) Pub Date : 2021-04-15 DOI: 10.1109/SysCon48628.2021.9447135

Hua Fan, Zonglin Li, Q. Feng, Qi Wei

{"title":"Strengthening the Practical Capacity of Students: an Educational Case Study about Teaching Feedback in Electronics Circuit","authors":"Hua Fan, Zonglin Li, Q. Feng, Qi Wei","doi":"10.1109/SysCon48628.2021.9447135","DOIUrl":"https://doi.org/10.1109/SysCon48628.2021.9447135","url":null,"abstract":"Facing the requirements of advancing the strategy of training elite talents, optimizing the talent training system and building first-class undergraduate education, the training of elite talents not only emphasizes problem – solvingł “how to do it?”, but also emphasizes thinking about problemsł “what to do?” to help students view and solve problems from a broader perspective, interdisciplinary and systematic thinking. In the teaching process of “electronic circuits”, we have clearly realized that with the rapid development of electronic circuit technology, electronic equipment has become increasingly integrated, electronic design automation (EDA) and the rapid development of various circuit simulation software have greatly simplified the complex circuit analysis and calculations. Because the world is analog, the signals in nature are analog signals, and analog circuits are inseparable from real life. Therefore, we have proposed a comparative teaching strategy of electronic circuit technology with “analogous thinking method”. The so-called analogy thinking refers to the logical reasoning method that transfers the knowledge of one special thing to another special thing based on the similarity or similarity in some aspects between two or two kinds of things. When two types of things are the same or similar in one or some aspects, analogy thinking can be used. In this paper, application of analogy as well as inspiring methodology in teaching feedback amplifier circuit have been given as a case study.","PeriodicalId":384949,"journal":{"name":"2021 IEEE International Systems Conference (SysCon)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114313480","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

Network Traffic Flow Based Machine Learning Technique for IoT Device Identification 基于网络流量的物联网设备识别机器学习技术

2021 IEEE International Systems Conference (SysCon) Pub Date : 2021-04-15 DOI: 10.1109/SysCon48628.2021.9447099

I. Ullah, Q. Mahmoud

{"title":"Network Traffic Flow Based Machine Learning Technique for IoT Device Identification","authors":"I. Ullah, Q. Mahmoud","doi":"10.1109/SysCon48628.2021.9447099","DOIUrl":"https://doi.org/10.1109/SysCon48628.2021.9447099","url":null,"abstract":"Security and privacy issues are being raised as smart systems are integrated into our daily lives. New security issues have emerged with several new vendors that develop the Internet of Things (IoT) products. The contents and patterns of network traffic will expose vulnerable IoT devices to intruders. New methods of network assessment are needed to evaluate the type of network connected IoT devices. IoT device recognition would provide a comprehensive structure for the development of stable IoT networks. This paper chooses a machine learning technique to identify IoT devices linked to the network by analyzing network flow sent and received. To generate network traffic data, we have developed a dataset adapted from the IoT23 Pcap files to experiment with a smart home network. We have created a model to identify the IoT device based on network traffic analysis. We evaluate our proposed model via full features dataset, reduces features dataset, and flow-based features dataset. This paper focuses on using flow-based features to identify the IoT device connected to the network. Our proposed scheme results in 100% precision, precision, recall, and F score via a full features dataset, reduced features dataset, and flow-based features dataset. Through evaluations using our produced dataset, we demonstrate that the proposed model can accurately classify IoT devices.","PeriodicalId":384949,"journal":{"name":"2021 IEEE International Systems Conference (SysCon)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115893210","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: 11

VITA1: An Unmanned Underwater Vehicle Prototype for Operation in Underwater Tunnels VITA1:用于水下隧道作业的无人潜航器原型

2021 IEEE International Systems Conference (SysCon) Pub Date : 2021-04-15 DOI: 10.1109/SysCon48628.2021.9447108

V. Jorge, P. Gava, J. R. B. F. Silva, Thais Mancilha, Waldir Vieira, Geraldo José Adabo, C. Nascimento

{"title":"VITA1: An Unmanned Underwater Vehicle Prototype for Operation in Underwater Tunnels","authors":"V. Jorge, P. Gava, J. R. B. F. Silva, Thais Mancilha, Waldir Vieira, Geraldo José Adabo, C. Nascimento","doi":"10.1109/SysCon48628.2021.9447108","DOIUrl":"https://doi.org/10.1109/SysCon48628.2021.9447108","url":null,"abstract":"New technologies have pushed Unmanned Underwater Vehicles use in the industry where the focus is often oil and gas applications and, high end systems. Operation in broad underwater tunnels where water turbidity is high, make it difficult to orient Observation Class UUVs inside them. Poor sensory orientation inside the tunnel can put the vehicle integrity and operation effectiveness at risk. In this work, we present a compact UUV prototype which is designed for operation in flooded tunnels, in special, those of hydro power plant. The system architecture is described and each subsystem is tested. Experiments present the effectiveness of each subsystem, with focus on the tunnel, discussing each system in the context of future mapping and autonomous operations. We present a system with a set of sensors aiming manual and autonomous navigation: an imaging sonar for forward looking information and navigation; an array of echosounder sensors used to measure the distance between top, bottom and side walls, which complement the forward looking sonar information; a profiling sonar for tunnel cross-section profiling; and a low light camera for close range inspections. Tests with the system are performed in a swimming pool, a lake, and, finally, inside a hydro power plant tunnel, during a four day-trial at Ceran Castro Alves power plant.","PeriodicalId":384949,"journal":{"name":"2021 IEEE International Systems Conference (SysCon)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122566946","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

Providing Designers with Automated Decision-Making within SysML Models to Promote Efficient Model-Based Systems Design 为设计人员提供SysML模型中的自动决策，以促进高效的基于模型的系统设计

2021 IEEE International Systems Conference (SysCon) Pub Date : 2021-04-15 DOI: 10.1109/SysCon48628.2021.9447083

Christos Kotronis, Anargyros Tsadimas, M. Nikolaidou

{"title":"Providing Designers with Automated Decision-Making within SysML Models to Promote Efficient Model-Based Systems Design","authors":"Christos Kotronis, Anargyros Tsadimas, M. Nikolaidou","doi":"10.1109/SysCon48628.2021.9447083","DOIUrl":"https://doi.org/10.1109/SysCon48628.2021.9447083","url":null,"abstract":"Systems of Systems (SoS) design is a complex process that involves, among other activities, the specification of system structure and requirements, the analysis of behavior and performance, and the exploration of the most appropriate system design solutions. Integration of these activities is advocated by Model-Based Systems Design (MBSD), where a core system model can be enriched with additional capabilities, such as performance analysis or decision-making. The Systems Modeling Language (SysML) is a standard language to utilize model-based design of SoS and create system models, specifying requirements and system constraints. In this work, we focus on integrating decision-making capabilities into SysML to enable system designers to explore alternative solutions that fit the requirements described in SysML. The system model is transformed to a decision model, whose results are automatically incorporated back into the system model. The proposed approach runs iteratively on any typical SysML model and facilitates the designer to explore alternative design solutions, minimizing the manual effort needed to achieve them. As a case study, the approach is applied in the design of a remote patient monitoring system, namely the Remote Elderly Monitoring System (REMS), where the designer decides on a system configuration that covers the needs of the patients.","PeriodicalId":384949,"journal":{"name":"2021 IEEE International Systems Conference (SysCon)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127403168","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

Enhancing The Performance of Network Traffic Classification Methods Using Efficient Feature Selection Models 利用高效特征选择模型提高网络流量分类方法的性能

2021 IEEE International Systems Conference (SysCon) Pub Date : 2021-04-15 DOI: 10.1109/SysCon48628.2021.9447076

Farzana Alam, R. Kashef, M. Jaseemuddin

{"title":"Enhancing The Performance of Network Traffic Classification Methods Using Efficient Feature Selection Models","authors":"Farzana Alam, R. Kashef, M. Jaseemuddin","doi":"10.1109/SysCon48628.2021.9447076","DOIUrl":"https://doi.org/10.1109/SysCon48628.2021.9447076","url":null,"abstract":"In the era of secure communication and the constantly changing pattern of internet applications, traditional packet classification methods fail to achieve the accuracy needed for diverse network management functions. Recently Machine Learning (ML) techniques have been used to design viable packet classification solutions. However, due to the complexity and dynamic feature of internet traffic, efficient packet classification is still challenging for various machine learning algorithms. In this paper, we propose the adoption of feature selection methods through dimensionality reduction to enhance the classifiers' performance. We evaluated the performance of four well-known classifiers, including K-nearest neighbour (KNN), Support Vector Machines (SVM), Decision Trees (DT), and Logistic Regression (LR) with and without feature selection. We used two feature selection methods, including principal component analysis and Autoencoder. Experimental analysis is performed on real network traffic datasets with binary and multi-class categories. We assessed each classifier's performance using precision, recall, f-score, accuracy, and ROC. Experimental results show that the Precision, Recall, and F-score for the Multi-class problem are improved by 4.7 %, 6%, and 9%, respectively, after adopting either PCA or Autoencoder methods. The classification accuracy is also improved by up to 13%. We can also conclude that Autoencoder performed better for the KNN and LR, while PCA achieved comparable results for both the SVM and DT classifiers.","PeriodicalId":384949,"journal":{"name":"2021 IEEE International Systems Conference (SysCon)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131955174","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: 3

A Transdisciplinary Socio-Technical Systems Approach: Wireless Solutions for the Digital Divide 跨学科社会技术系统方法:数字鸿沟的无线解决方案

2021 IEEE International Systems Conference (SysCon) Pub Date : 2021-04-15 DOI: 10.1109/SysCon48628.2021.9447064

S. V. Bhada, C. Canfield, A. Wyglinski

引用次数: 0

Design of a Human Centered Computing (HCC) based Virtual Reality Simulator to train First Responders Involved in the COVID-19 Pandemic 基于以人为中心计算(HCC)的虚拟现实模拟器设计，用于培训参与COVID-19大流行的急救人员

2021 IEEE International Systems Conference (SysCon) Pub Date : 2021-04-15 DOI: 10.1109/SysCon48628.2021.9447090

J. Cecil, Samuel H. Kauffman, Avinash Gupta, Vern McKinney, M. Pirela-Cruz

{"title":"Design of a Human Centered Computing (HCC) based Virtual Reality Simulator to train First Responders Involved in the COVID-19 Pandemic","authors":"J. Cecil, Samuel H. Kauffman, Avinash Gupta, Vern McKinney, M. Pirela-Cruz","doi":"10.1109/SysCon48628.2021.9447090","DOIUrl":"https://doi.org/10.1109/SysCon48628.2021.9447090","url":null,"abstract":"The COVID-19 pandemic has placed an overwhelming strain on our Nation’s ability to treat patients; the number of patients who need to be tested continues to rise. With nurses also becoming infected, the number of trained professionals who can perform tasks such as testing of patients along with providing care involving hooking up patients to ventilators continues to decrease as well. There is a need to explore the adoption of virtual computer-based training mediums which will enable new nurses and others to be trained in safe and efficient procedures involving patients during this pandemic period. In this paper, the design of a VR-based simulator based on Human-Centered Computing (HCC) principles are discussed. The role of HCC factors such as affordance and cognitive load on the comprehension and scene understanding of nurses during training and the acquisition of knowledge of safety procedures and detailed steps (pertaining to nasal sample collection and use of ventilators on patients) has been studied with the involvement of nurse and nurse trainee participants. Adoption of a participatory design approach involving experts (nurses, doctors involved in covid-19 testing and treatment) has provided a foundational basis for the design of the training environments and assessment activities. Formal information-centric process models of the nasal swabbing procedures and ventilator hookup tasks were created using the engineering Enterprise Modeling Language (eEML). The preliminary results from the assessment activities indicate the positive impact of such HCC based 3D simulators in such training of first responders.","PeriodicalId":384949,"journal":{"name":"2021 IEEE International Systems Conference (SysCon)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132919179","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: 7