IEEE Open Journal of Systems Engineering最新文献_第2页

A Model-Based Reverse System Engineering Methodology for Analyzing Complex Biological Systems With a Case Study in Glycolysis 分析复杂生物系统的基于模型的逆向系统工程方法--以糖酵解为例

IEEE Open Journal of Systems Engineering Pub Date : 2024-07-22 DOI: 10.1109/OJSE.2024.3431868

Gerald L. Fudge;Emily Brown Reeves

{"title":"A Model-Based Reverse System Engineering Methodology for Analyzing Complex Biological Systems With a Case Study in Glycolysis","authors":"Gerald L. Fudge;Emily Brown Reeves","doi":"10.1109/OJSE.2024.3431868","DOIUrl":"https://doi.org/10.1109/OJSE.2024.3431868","url":null,"abstract":"We propose a model-based reverse systems engineering (MBRSE) methodology for biological systems that relies on requirements analysis in conjunction with model-based systems engineering (MBSE). The goal of this methodology is to better understand complex multiscale biological systems, discover knowledge gaps, and make testable predictions. The similarities between human-engineered and biological systems motivate this approach. Furthermore, traditional reductionist paradigms in biology have proven insufficient for understanding and accurately predicting complex biological systems, as opposed to systems engineering approaches that have proven effective in supporting the design and analysis of complex engineered systems spanning multiple spatiotemporal scales. We employ our MBRSE methodology to analyze glycolysis in a biological case study using object process methodology as the primary MBSE language for conceptual qualitative modeling, in conjunction with SysML use case modeling. Using the MBRSE methodology, we derive twenty-two requirements, uncover five gaps in knowledge, and generate six predictions for the core metabolic pathway of glycolysis. One significant prediction is that the Warburg effect associated with cancer is the result of a natural response to tissue injury that has become unstable due to a failure in the feedback mechanism of the tissue injury control system.","PeriodicalId":100632,"journal":{"name":"IEEE Open Journal of Systems Engineering","volume":"2 ","pages":"119-134"},"PeriodicalIF":0.0,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10605905","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142084482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimizing Design Structure Matrices Using Markov Chain Modeling and Community Detection 利用马尔可夫链建模和群落检测优化设计结构矩阵

IEEE Open Journal of Systems Engineering Pub Date : 2024-07-19 DOI: 10.1109/OJSE.2024.3431468

Rami Al Khatib;Armando Chacon

引用次数: 0

Exploring Current Practices and Challenges of HIPAA Compliance in Software Engineering: Scoping Review 探索软件工程中 HIPAA 合规性的当前实践与挑战：范围审查

IEEE Open Journal of Systems Engineering Pub Date : 2024-04-23 DOI: 10.1109/OJSE.2024.3392691

Farah Elkourdi;Chenhao Wei;LU Xiao;Zhongyuan YU;Onur Asan

引用次数: 0

Systematic Mapping Study of Systems Security Engineering for Modular Open Systems 模块化开放式系统的系统安全工程系统映射研究

IEEE Open Journal of Systems Engineering Pub Date : 2024-04-22 DOI: 10.1109/OJSE.2024.3391734

Giselle Bonilla-Ortiz;Dinesh Verma;James N. Head;Lu Xiao;Koduvayur Subbalakshmi

{"title":"Systematic Mapping Study of Systems Security Engineering for Modular Open Systems","authors":"Giselle Bonilla-Ortiz;Dinesh Verma;James N. Head;Lu Xiao;Koduvayur Subbalakshmi","doi":"10.1109/OJSE.2024.3391734","DOIUrl":"https://doi.org/10.1109/OJSE.2024.3391734","url":null,"abstract":"Modular Open Systems Approach (MOSA), a recent initiative to increase competition in the defense market, has become a directive to new acquisition programs. It is a United States Department of Defense (DoD) initiative for designing composable systems with open standards that can be acquired from independent vendors, while allowing an adaptive response to evolving threats. Implementation of MOSA was signed into law in the National Defense Authorization Act for Fiscal Year 2021, requiring regulations to facilitate DoD's access to and utilization of modular system interfaces and implementation of openness across major acquisition programs. MOSA's objectives include interoperability, technology refresh, increased competition, innovation, and cost savings. Determining an effective strategy to realize this intent is of paramount importance to industry. Current MOSA research focuses on developing guidelines for incorporating modularity and open standards into DoD acquisition. Given the concurrent priority regarding system security and cyber-resilience, there is a gap in open literature regarding architectural and design guidelines focused on security and cyber-resilience requirements for MOSA. This systematic mapping resulted in the selection of 33 relevant research papers. A hybrid approach of inductive and deductive qualitative coding was used as a method of rigor in extracting answers to the research questions.","PeriodicalId":100632,"journal":{"name":"IEEE Open Journal of Systems Engineering","volume":"2 ","pages":"83-93"},"PeriodicalIF":0.0,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10506332","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140924714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

ViSnow: Snow-Covered Urban Roads Dataset for Computer Vision Applications ViSnow：用于计算机视觉应用的积雪覆盖城市道路数据集

IEEE Open Journal of Systems Engineering Pub Date : 2024-04-19 DOI: 10.1109/OJSE.2024.3391315

Mohamed Karaa;Hakim Ghazzai;Lokman Sboui

{"title":"ViSnow: Snow-Covered Urban Roads Dataset for Computer Vision Applications","authors":"Mohamed Karaa;Hakim Ghazzai;Lokman Sboui","doi":"10.1109/OJSE.2024.3391315","DOIUrl":"https://doi.org/10.1109/OJSE.2024.3391315","url":null,"abstract":"Road surface condition estimation is an important task in fields related to transportation systems and road maintenance, especially in adverse weather conditions, such as snowfall. In this article, we introduce an image dataset for snow-covered roads in an urban context. The dataset is an extensive collection of images captured by traffic monitoring cameras in Montreal, QC, Canada, during the winters of 2022 and 2023. We detail the process of acquiring the dataset, including the source and the methodology to enable the replication of such a process. We also present an exploratory dataset description to showcase its rich contextual representation of the urban winter scene at different times, locations, and weather conditions. We also establish a benchmark problem for the dataset that consists of automating its annotation process. This process should add value to the dataset by attributing a label describing the snow level covering the road for each image. Finally, we discuss potential applications the dataset can enable in fields, such as transportation and winter road maintenance.","PeriodicalId":100632,"journal":{"name":"IEEE Open Journal of Systems Engineering","volume":"2 ","pages":"62-70"},"PeriodicalIF":0.0,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10505763","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140924717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Dataset Annotation System for Snowy Weather Road Surface Classification 用于雪天路面分类的数据集注释系统

IEEE Open Journal of Systems Engineering Pub Date : 2024-04-19 DOI: 10.1109/OJSE.2024.3391326

Mohamed Karaa;Hakim Ghazzai;Lokman Sboui

引用次数: 0

A Systems-Theoretical Formalization of Closed Systems 封闭系统的系统理论形式化

IEEE Open Journal of Systems Engineering Pub Date : 2024-02-23 DOI: 10.1109/OJSE.2024.3369070

Niloofar Shadab;Tyler Cody;Alejandro Salado;Peter A. Beling

{"title":"A Systems-Theoretical Formalization of Closed Systems","authors":"Niloofar Shadab;Tyler Cody;Alejandro Salado;Peter A. Beling","doi":"10.1109/OJSE.2024.3369070","DOIUrl":"https://doi.org/10.1109/OJSE.2024.3369070","url":null,"abstract":"There is a lack of formalism for some key foundational concepts in systems engineering. One of the most recently acknowledged deficits is the inadequacy of systems engineering practices for engineering intelligent systems. In our previous works, we proposed that closed systems precepts could be used to accomplish a required paradigm shift for the systems engineering of intelligent systems. However, to enable such a shift, formal foundations for closed systems precepts that expand the theory of systems engineering are needed. The concept of closure is a critical concept in the formalism underlying closed systems precepts. In this article, we provide formal, systems- and information-theoretic definitions of closure to identify and distinguish different types of closed systems. Then, we assert a mathematical framework to evaluate the subjective formation of the boundaries and constraints of such systems. Finally, we present a high-level overview of the engineering implications stemming from this formalism, with a specific focus on its application in engineering intelligent systems. In the main, this framework lays the groundwork for understanding and applying closed systems precepts in the engineering of complex systems, especially those characterized by high levels of intelligence.","PeriodicalId":100632,"journal":{"name":"IEEE Open Journal of Systems Engineering","volume":"2 ","pages":"26-37"},"PeriodicalIF":0.0,"publicationDate":"2024-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10443926","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140135229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Method for Measuring Resilience of Complex Systems Using Network Theory and Graph Energy 利用网络理论和图能测量复杂系统复原力的方法

IEEE Open Journal of Systems Engineering Pub Date : 2024-02-22 DOI: 10.1109/OJSE.2024.3366939

Christine M. Edwards;Maximilian Vierlboeck;Roshanak Rose Nilchiani;Ian M. Miller

{"title":"Method for Measuring Resilience of Complex Systems Using Network Theory and Graph Energy","authors":"Christine M. Edwards;Maximilian Vierlboeck;Roshanak Rose Nilchiani;Ian M. Miller","doi":"10.1109/OJSE.2024.3366939","DOIUrl":"https://doi.org/10.1109/OJSE.2024.3366939","url":null,"abstract":"Because of societies’ dependence on systems that have increasing interconnectedness, governments and industries have an increasing interest in managing the resilience of these systems and the risks associated with their disruption or failure. The identification and localization of tipping points in complex systems is essential in predicting system collapse but exceedingly difficult to estimate. At critical tipping-point thresholds, systems may transition from stable to unstable and potentially collapse. One of the approaches to measuring a complex system's resilience to collapse has been to model the system as a network, reduce the network behavior to a simpler model, and measure the resulting model's stability. In particular, Gao et al. introduced a method in 2016 that includes a resilience index that measures precariousness, the distance to tipping points. However, those mathematical reductions can cause the model to lose information on the topological complexity of the system. Using computational experimentation, a new method has been formulated that more-accurately predicts the resilience and location of tipping points in networked systems by integrating Gao et al.’s method with a measurement of a system's topological complexity using graph energy, which arose from molecular orbital theory. Herein, this method for measuring and managing system resilience is outlined with case studies involving ecosystem collapse, supply-chain sustainability, and disruptive technology. The precariousness of these example systems is found using the dimension reduction, and a graph-energy correction is quantified to fine-tune the measurement. Lastly, the integration of this method into systems engineering processes is explored to provide a measurement of precariousness and give insight into how a complex system's topology affects the location of its tipping points.","PeriodicalId":100632,"journal":{"name":"IEEE Open Journal of Systems Engineering","volume":"2 ","pages":"15-25"},"PeriodicalIF":0.0,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10443825","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140052857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Extending Ecological Network Analysis to Design Resilient Cyber-Physical System of Systems 扩展生态网络分析，设计具有弹性的网络物理系统

IEEE Open Journal of Systems Engineering Pub Date : 2024-02-22 DOI: 10.1109/OJSE.2024.3368921

Abheek Chatterjee;Hao Huang;Richard Malak;Katherine R. Davis;Astrid Layton

{"title":"Extending Ecological Network Analysis to Design Resilient Cyber-Physical System of Systems","authors":"Abheek Chatterjee;Hao Huang;Richard Malak;Katherine R. Davis;Astrid Layton","doi":"10.1109/OJSE.2024.3368921","DOIUrl":"https://doi.org/10.1109/OJSE.2024.3368921","url":null,"abstract":"The design of resilient infrastructure is a critical engineering challenge for the smooth functioning of society. These networks are best described as cyber-physical systems of systems (CPSoS): integration of independent constituent systems, connected by physical and cyber interactions, to achieve novel capabilities. Bioinspired design, using a framework called the ecological network analysis (ENA), has been shown to be a promising solution for improving the resilience of engineering networks. However, the existing ENA framework can only account for one type of flow in a network. Thus, it is not yet applicable for the evaluation of CPSoS. This article addresses this limitation by proposing a novel multigraph model of CPSoS, along with guidelines and modified metrics that enable ENA evaluation of the overall (cyber and physical) network organization of the CPSoS. The application of the extended framework is demonstrated using an energy infrastructure case study. This research lays the critical groundwork for investigating the design of resilient CPSoS using biological ecosystems inspiration.","PeriodicalId":100632,"journal":{"name":"IEEE Open Journal of Systems Engineering","volume":"2 ","pages":"38-49"},"PeriodicalIF":0.0,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10443500","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140310195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

ALCEA: The Architecture Life-Cycle Effect Analysis Method ALCEA：架构生命周期效应分析方法

IEEE Open Journal of Systems Engineering Pub Date : 2024-01-23 DOI: 10.1109/OJSE.2024.3357243

Jakob Axelsson;Damir Bilic;Daniel Brahneborg;Joakim Fröberg;Henrik Gustavsson;Robbert Jongeling;Daniel Sundmark

{"title":"ALCEA: The Architecture Life-Cycle Effect Analysis Method","authors":"Jakob Axelsson;Damir Bilic;Daniel Brahneborg;Joakim Fröberg;Henrik Gustavsson;Robbert Jongeling;Daniel Sundmark","doi":"10.1109/OJSE.2024.3357243","DOIUrl":"https://doi.org/10.1109/OJSE.2024.3357243","url":null,"abstract":"This article describes the architecture life cycle effect analysis (ALCEA) method, a structured method for evaluating proposed new architectures for software-intensive systems. The method evaluates a proposed architecture by quantifying its effect on the performance of system life-cycle phases. The method is instantiated by identifying the relevant life-cycle phases of the system under investigation and a set of evaluation functions that capture, in terms of basic factors, the effect of different architectural decisions on key life-cycle PAs, such as revenue, operating resources, and investments. The method results in a transparent cost and revenue structure, documented in a tabular form, based on quantifiable factors from the developing organization. The results of the method can be used directly as part of a business case, and their robustness can be estimated by sensitivity analysis. The ALCEA method is designed for system-level architectural analysis, covering both software and hardware aspects. In this article, we introduce the ALCEA method and provide a detailed example of how to apply it in the evolution of embedded systems. Moreover, we share early experiences of using the method in large-scale industrial settings.","PeriodicalId":100632,"journal":{"name":"IEEE Open Journal of Systems Engineering","volume":"2 ","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10412128","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139976221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0