Jay Wilkins, David A. Sparrow, Caitlan A. Fealing, Brian D. Vickers, Kristina A. Ferguson, Heather Wojton
Abstract We propose and present a parallelized metric framework for evaluating human‐machine teams that draws upon current knowledge of human‐systems interfacing and integration but is rooted in team‐centric concepts. Humans and machines working together as a team involves interactions that will only increase in complexity as machines become more intelligent, capable teammates. Assessing such teams will require explicit focus on not just the human‐machine interfacing but the full spectrum of interactions between and among agents. As opposed to focusing on isolated qualities, capabilities, and performance contributions of individual team members, the proposed framework emphasizes the collective team as the fundamental unit of analysis and the interactions of the team as the key evaluation targets, with individual human and machine metrics still vital but secondary. With teammate interaction as the organizing diagnostic concept, the resulting framework arrives at a parallel assessment of the humans and machines, analyzing their individual capabilities less with respect to purely human or machine qualities and more through the prism of contributions to the team as a whole. This treatment reflects the increased machine capabilities and will allow for continued relevance as machines develop to exercise more authority and responsibility. This framework allows for identification of features specific to human‐machine teaming that influence team performance and efficiency, and it provides a basis for operationalizing in specific scenarios. Potential applications of this research include test and evaluation of complex systems that rely on human‐system interaction, including—though not limited to—autonomous vehicles, command and control systems, and pilot control systems.
{"title":"A team‐centric metric framework for testing and evaluation of human‐machine teams","authors":"Jay Wilkins, David A. Sparrow, Caitlan A. Fealing, Brian D. Vickers, Kristina A. Ferguson, Heather Wojton","doi":"10.1002/sys.21730","DOIUrl":"https://doi.org/10.1002/sys.21730","url":null,"abstract":"Abstract We propose and present a parallelized metric framework for evaluating human‐machine teams that draws upon current knowledge of human‐systems interfacing and integration but is rooted in team‐centric concepts. Humans and machines working together as a team involves interactions that will only increase in complexity as machines become more intelligent, capable teammates. Assessing such teams will require explicit focus on not just the human‐machine interfacing but the full spectrum of interactions between and among agents. As opposed to focusing on isolated qualities, capabilities, and performance contributions of individual team members, the proposed framework emphasizes the collective team as the fundamental unit of analysis and the interactions of the team as the key evaluation targets, with individual human and machine metrics still vital but secondary. With teammate interaction as the organizing diagnostic concept, the resulting framework arrives at a parallel assessment of the humans and machines, analyzing their individual capabilities less with respect to purely human or machine qualities and more through the prism of contributions to the team as a whole. This treatment reflects the increased machine capabilities and will allow for continued relevance as machines develop to exercise more authority and responsibility. This framework allows for identification of features specific to human‐machine teaming that influence team performance and efficiency, and it provides a basis for operationalizing in specific scenarios. Potential applications of this research include test and evaluation of complex systems that rely on human‐system interaction, including—though not limited to—autonomous vehicles, command and control systems, and pilot control systems.","PeriodicalId":54439,"journal":{"name":"Systems Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135341820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Juan A. Martinez‐Rojas, Jose L. Fernandez‐Sanchez, Miguel Fernandez‐Munoz, Rocio Sanchez‐Montero, Pablo L. Lopez‐Espi, Efren Diez‐Jimenez
Abstract Electromagnetic Interference and Compatibility (EMI–EMC) are a serious problem in Microelectromechanical Systems (MEMS), and specially in powered by wireless energy transfer MEMS. Most MEMS have dimensions in the order of 1 mm or less, thus, most of the suitable electromagnetic radiation sources have wavelengths larger than this, making isolation of electromagnetic effects very difficult. Model‐Based Systems Engineering (MBSE) can be an excellent tool to deal with EMI—EMC in MEMS during early design phases. In this work, we present a problem‐solving procedure and integration of EMI—EMC in MEMS from a Model‐Based Systems Engineering perspective. This approach is described in detail by a real example using a procedure based on nine steps fully integrated with the proposed systems engineering methodology. For example, the use of context diagrams (IBDs) and N SQUARE charts to describe EMC interactions is explained in detail. The system is formed by a Wireless Power Transfer (WPT) subsystem working near 2.45 or 4.5 GHz coupled to an electromagnetic micromotor. This micromotor contains copper microcoils which can receive electromagnetic radiation directly at the same time that the WPT subsystem. The greatest difficulty is, then, to power the WPT while isolating the micromotor, and optimizing the coupling interface. A summary of the most important EMC concepts and tools are reviewed from the systems engineer perspective and possible problems during the design and testing phases are discussed in detail using the example.
{"title":"Model‐based systems engineering approach to the study of electromagnetic interference and compatibility in wireless powered microelectromechanical systems","authors":"Juan A. Martinez‐Rojas, Jose L. Fernandez‐Sanchez, Miguel Fernandez‐Munoz, Rocio Sanchez‐Montero, Pablo L. Lopez‐Espi, Efren Diez‐Jimenez","doi":"10.1002/sys.21733","DOIUrl":"https://doi.org/10.1002/sys.21733","url":null,"abstract":"Abstract Electromagnetic Interference and Compatibility (EMI–EMC) are a serious problem in Microelectromechanical Systems (MEMS), and specially in powered by wireless energy transfer MEMS. Most MEMS have dimensions in the order of 1 mm or less, thus, most of the suitable electromagnetic radiation sources have wavelengths larger than this, making isolation of electromagnetic effects very difficult. Model‐Based Systems Engineering (MBSE) can be an excellent tool to deal with EMI—EMC in MEMS during early design phases. In this work, we present a problem‐solving procedure and integration of EMI—EMC in MEMS from a Model‐Based Systems Engineering perspective. This approach is described in detail by a real example using a procedure based on nine steps fully integrated with the proposed systems engineering methodology. For example, the use of context diagrams (IBDs) and N SQUARE charts to describe EMC interactions is explained in detail. The system is formed by a Wireless Power Transfer (WPT) subsystem working near 2.45 or 4.5 GHz coupled to an electromagnetic micromotor. This micromotor contains copper microcoils which can receive electromagnetic radiation directly at the same time that the WPT subsystem. The greatest difficulty is, then, to power the WPT while isolating the micromotor, and optimizing the coupling interface. A summary of the most important EMC concepts and tools are reviewed from the systems engineer perspective and possible problems during the design and testing phases are discussed in detail using the example.","PeriodicalId":54439,"journal":{"name":"Systems Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135476671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sarra Fakhfakh, Marija Jankovic, Andreas M. Hein, Yann Chazal
Abstract Developing new mobility services such as electric vehicles and autonomous vehicles services requires not only the interaction and interoperation of independent systems such as electric vehicles, electric infrastructure, or off‐board servers, but also the collaboration of independent business partners, namely, car manufacturers, energy providers, and service providers, developing, managing and operating these systems. Such services show both Product Service Systems and Systems of Systems characteristics and, as such, can be defined as Product‐Service Systems of Systems. While extensive literature exists on developing and managing PSS product and service elements and SoS constituent systems, little research explicitly focuses on PSSoS stakeholders. In particular, the analysis of PSSoS stakeholder business partnerships and involvement in PSSoS development. PSSoS development is seen as the development, operation, and management of constituent systems. This paper contributes to addressing this gap and proposes an approach to manage stakeholder participation in the PSSoS business partnership and PSSoS development.
{"title":"Early stakeholder modeling and analysis: New mobility services (Product Service Systems of Systems)","authors":"Sarra Fakhfakh, Marija Jankovic, Andreas M. Hein, Yann Chazal","doi":"10.1002/sys.21728","DOIUrl":"https://doi.org/10.1002/sys.21728","url":null,"abstract":"Abstract Developing new mobility services such as electric vehicles and autonomous vehicles services requires not only the interaction and interoperation of independent systems such as electric vehicles, electric infrastructure, or off‐board servers, but also the collaboration of independent business partners, namely, car manufacturers, energy providers, and service providers, developing, managing and operating these systems. Such services show both Product Service Systems and Systems of Systems characteristics and, as such, can be defined as Product‐Service Systems of Systems. While extensive literature exists on developing and managing PSS product and service elements and SoS constituent systems, little research explicitly focuses on PSSoS stakeholders. In particular, the analysis of PSSoS stakeholder business partnerships and involvement in PSSoS development. PSSoS development is seen as the development, operation, and management of constituent systems. This paper contributes to addressing this gap and proposes an approach to manage stakeholder participation in the PSSoS business partnership and PSSoS development.","PeriodicalId":54439,"journal":{"name":"Systems Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135589830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Local cities in Japan are struggling with aging and decreasing populations. Elderly people and parents with young children are uniquely challenged when accessing public transportation, a key to increasing their community engagement and improving local cities' sustainability. This research investigates the introduction of new transportation modes and fares on community engagement of both elderly people and parents of young children. An urban systems model which integrates mobility and civic functions is evaluated by agent‐based simulation to analyze various policies’ impacts on community engagement and financial performance. The model is applied to Odawara City, a typical local city of nearly 200,000 people in Japan. For this case study, two policies which strongly subsidize a community bus and partially subsidize a door‐to‐door van were predicted to generate 10% or greater engagement for the elderly without a financial loss compared to the current baseline case. More specifically, community engagement of elderly people and parents with young children are predicted to increase by 11% with positive (0.25 M yen) net present value per person when the fare of community buses is 100 yen and that of door‐to‐door vans is 300 yen. However, no synergistic effect driven by policies favoring elderly people and those favoring parents is found. Still, the measures to support elderly people's transportation accessibility do not harm the parents’ behavior but rather support their daily activities. The method is demonstrated to be useful for designing new mobility policy in light of a specific population with demographic residential distribution and existing transportation network.
{"title":"Engineering systems analysis of mobility in Odawara city: New transportation services impacts on community engagement","authors":"Keiji Kimura, Bryan R. Moser","doi":"10.1002/sys.21734","DOIUrl":"https://doi.org/10.1002/sys.21734","url":null,"abstract":"Abstract Local cities in Japan are struggling with aging and decreasing populations. Elderly people and parents with young children are uniquely challenged when accessing public transportation, a key to increasing their community engagement and improving local cities' sustainability. This research investigates the introduction of new transportation modes and fares on community engagement of both elderly people and parents of young children. An urban systems model which integrates mobility and civic functions is evaluated by agent‐based simulation to analyze various policies’ impacts on community engagement and financial performance. The model is applied to Odawara City, a typical local city of nearly 200,000 people in Japan. For this case study, two policies which strongly subsidize a community bus and partially subsidize a door‐to‐door van were predicted to generate 10% or greater engagement for the elderly without a financial loss compared to the current baseline case. More specifically, community engagement of elderly people and parents with young children are predicted to increase by 11% with positive (0.25 M yen) net present value per person when the fare of community buses is 100 yen and that of door‐to‐door vans is 300 yen. However, no synergistic effect driven by policies favoring elderly people and those favoring parents is found. Still, the measures to support elderly people's transportation accessibility do not harm the parents’ behavior but rather support their daily activities. The method is demonstrated to be useful for designing new mobility policy in light of a specific population with demographic residential distribution and existing transportation network.","PeriodicalId":54439,"journal":{"name":"Systems Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135679570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract In this work, by constructing a principal‐agent model, we analyze the intrinsic causes of collusion between the government and enterprises, particularly through the central and local governments and resource‐based enterprises. The analysis has been conducted by introducing the public as a third‐party monitoring body to explore the positive role of public participation in preventing collusion between the government and enterprises, and henceforth entailing model analysis and validation with certain examples. The green transformation of resource‐based enterprises is an effective way for their sustainable development, besides being an inevitable requirement for China's high‐quality economic development and ecological civilization construction in the new era. In this perspective, our study reveals that: (1) Government‐enterprise collusion is motivated by the central government's improper assessment and incentive mechanism, besides the information deficit between the central government and the colluding parties. (2) The conditions for government‐enterprise collusion in development remain on the resource‐based enterprises and local governments that face fewer expected penalties than expected benefits, thus resulting in lower collusion risks. (3) Public participation in monitoring can effectively combat the willingness of the local governments and resource‐based enterprises to collude and significantly increase the level of effort of both parties in the green transition. (4) Public monitoring increases the probability of collusion detection, and prompt detection improves the timeliness and effectiveness of punishment. The findings from this study can provide a scientific basis for improving the regulatory system, thus improving public participation and strengthening the penal system.
{"title":"Government‐enterprise collusion and public oversight in the green transformation of resource‐based enterprises: A principal‐agent perspective","authors":"Cunfang Li, Xinyi Gu, Zhan Li, Yongzeng Lai","doi":"10.1002/sys.21731","DOIUrl":"https://doi.org/10.1002/sys.21731","url":null,"abstract":"Abstract In this work, by constructing a principal‐agent model, we analyze the intrinsic causes of collusion between the government and enterprises, particularly through the central and local governments and resource‐based enterprises. The analysis has been conducted by introducing the public as a third‐party monitoring body to explore the positive role of public participation in preventing collusion between the government and enterprises, and henceforth entailing model analysis and validation with certain examples. The green transformation of resource‐based enterprises is an effective way for their sustainable development, besides being an inevitable requirement for China's high‐quality economic development and ecological civilization construction in the new era. In this perspective, our study reveals that: (1) Government‐enterprise collusion is motivated by the central government's improper assessment and incentive mechanism, besides the information deficit between the central government and the colluding parties. (2) The conditions for government‐enterprise collusion in development remain on the resource‐based enterprises and local governments that face fewer expected penalties than expected benefits, thus resulting in lower collusion risks. (3) Public participation in monitoring can effectively combat the willingness of the local governments and resource‐based enterprises to collude and significantly increase the level of effort of both parties in the green transition. (4) Public monitoring increases the probability of collusion detection, and prompt detection improves the timeliness and effectiveness of punishment. The findings from this study can provide a scientific basis for improving the regulatory system, thus improving public participation and strengthening the penal system.","PeriodicalId":54439,"journal":{"name":"Systems Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135973487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Muhammad Imran Rashid, Muhammad Athar, Ayesha Mobeen, Mahnoor Asif, Muqaddas Hanif
Abstract A general guide how to implement process safety management (PSM) is missing in the literature. This article provides general procedure to implement PSM which any industry in underdeveloped, developing and developed countries can adopt to start PSM implementation. PSM implementation can be initiated through the proposed framework consisting of four steps: (1) PSM introduction, (2) Assigning departmental wise PSM duties, (3) Trainings and (4) Audits and improvements. Trainings include process hazard analysis (PHA) using Integrated What‐If/HAZOP analysis, quantitative risk assessments using ALOHA or equivalent software, PSM forms developments and other trainings. In a case study, ammonia release is estimated and quantified using ALOHA. Nine various forms for PSM are required to be developed for industry implementing PSM. Various trainings should be arranged including specific learning outcomes and few examples are discussed in this article. An audit scheme is proposed for any new industry implementing PSM. PSM elements implementation sequence is discussed. New established industries can adopt this procedure to implement PSM following suggested forms and sequences, which can help engineers in understanding PSM implementation. This PSM implementation proposed framework is being implemented in the fertilizer industry and caustic industry.
{"title":"Implementation guide for process safety management","authors":"Muhammad Imran Rashid, Muhammad Athar, Ayesha Mobeen, Mahnoor Asif, Muqaddas Hanif","doi":"10.1002/sys.21732","DOIUrl":"https://doi.org/10.1002/sys.21732","url":null,"abstract":"Abstract A general guide how to implement process safety management (PSM) is missing in the literature. This article provides general procedure to implement PSM which any industry in underdeveloped, developing and developed countries can adopt to start PSM implementation. PSM implementation can be initiated through the proposed framework consisting of four steps: (1) PSM introduction, (2) Assigning departmental wise PSM duties, (3) Trainings and (4) Audits and improvements. Trainings include process hazard analysis (PHA) using Integrated What‐If/HAZOP analysis, quantitative risk assessments using ALOHA or equivalent software, PSM forms developments and other trainings. In a case study, ammonia release is estimated and quantified using ALOHA. Nine various forms for PSM are required to be developed for industry implementing PSM. Various trainings should be arranged including specific learning outcomes and few examples are discussed in this article. An audit scheme is proposed for any new industry implementing PSM. PSM elements implementation sequence is discussed. New established industries can adopt this procedure to implement PSM following suggested forms and sequences, which can help engineers in understanding PSM implementation. This PSM implementation proposed framework is being implemented in the fertilizer industry and caustic industry.","PeriodicalId":54439,"journal":{"name":"Systems Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134974047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Pilots use their senses and training to generate situational awareness (SA). They then use this SA to make sound aeronautical decisions. Autonomous vehicles, by contrast, cannot rely on pilot expertise in off‐nominal situations. They must rely on their onboard sensors to build SA of the environment. As these sensors degrade, it is hypothesized that a point exists where the SA generated by these sensors is inadequate to allow the autonomous vehicle to make sound aeronautical decisions. In previous work, a point was defined based on broad assumptions within a modeling and simulation environment (i.e., the error within each sensor was known and not random). This research used a larger data set that contained random errors within the sensors. The data was then used to build predictive equations through a Monte Carlo simulation in the same simulation environment as previous work. While the data showed there was a statistically significant relationship between the error values in each sensor and the fused distance value, the resulting predictive equations were not able to provide adequate SA to make sound aeronautical decisions. This research highlights multiple issues the test and evaluation community will face when trying to develop new techniques for the verification and validation of autonomous systems.
{"title":"Refining autonomous vehicle situational awareness due to varying sensor error","authors":"Donald Costello, Nicholas Hanlon, Huan Xu","doi":"10.1002/sys.21729","DOIUrl":"https://doi.org/10.1002/sys.21729","url":null,"abstract":"Abstract Pilots use their senses and training to generate situational awareness (SA). They then use this SA to make sound aeronautical decisions. Autonomous vehicles, by contrast, cannot rely on pilot expertise in off‐nominal situations. They must rely on their onboard sensors to build SA of the environment. As these sensors degrade, it is hypothesized that a point exists where the SA generated by these sensors is inadequate to allow the autonomous vehicle to make sound aeronautical decisions. In previous work, a point was defined based on broad assumptions within a modeling and simulation environment (i.e., the error within each sensor was known and not random). This research used a larger data set that contained random errors within the sensors. The data was then used to build predictive equations through a Monte Carlo simulation in the same simulation environment as previous work. While the data showed there was a statistically significant relationship between the error values in each sensor and the fused distance value, the resulting predictive equations were not able to provide adequate SA to make sound aeronautical decisions. This research highlights multiple issues the test and evaluation community will face when trying to develop new techniques for the verification and validation of autonomous systems.","PeriodicalId":54439,"journal":{"name":"Systems Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135461887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chris Swickline, Thomas A Mazzuchi, Shahram Sarkani
Abstract An essential role of systems engineering is to aid in overcoming complexity during development. As system complexity increases, a greater number of organizations are being asked to contribute architecture/design content for systems development. An essential challenge to overcome is how to ensure digital continuity in connecting system models to form systems of systems (SoS) models. Leveraging recent developments in digital engineering (DE) and model‐based systems engineering (MBSE) this paper presents a SysML model federation methodology enabling multiple collaborating organizations to contribute system models and form a descriptive SoS architecture model. Systems engineers applying this methodology are able to reuse constituent system model content to describe the larger SoS behavior and structure while promoting reusability and commonality and are therefore better able to ensure correctness and consistency across development. First, a background through the review of SoS engineering (SoSE) and DE/MBSE literature is provided. Then an MBSE process along with specific methods tailoring the use of SysML within the Cameo Enterprise Architecture tool is presented. This work builds upon a previously published Systems Architecture Model (SAM) development method and is designed to permit style diversity across peer constituent models and ensure that every piece of data has an authoritative source of truth (ASOT) within the federation. This paper then presents the application of this methodology to the Ranger Lunar Rover system by making use of its openly published SysML model. Finally, the benefits and challenges of this methodology are discussed prior to drawing closing conclusions and identifying future areas of research.
{"title":"A methodology for developing SoS architectures using SysML model federation","authors":"Chris Swickline, Thomas A Mazzuchi, Shahram Sarkani","doi":"10.1002/sys.21727","DOIUrl":"https://doi.org/10.1002/sys.21727","url":null,"abstract":"Abstract An essential role of systems engineering is to aid in overcoming complexity during development. As system complexity increases, a greater number of organizations are being asked to contribute architecture/design content for systems development. An essential challenge to overcome is how to ensure digital continuity in connecting system models to form systems of systems (SoS) models. Leveraging recent developments in digital engineering (DE) and model‐based systems engineering (MBSE) this paper presents a SysML model federation methodology enabling multiple collaborating organizations to contribute system models and form a descriptive SoS architecture model. Systems engineers applying this methodology are able to reuse constituent system model content to describe the larger SoS behavior and structure while promoting reusability and commonality and are therefore better able to ensure correctness and consistency across development. First, a background through the review of SoS engineering (SoSE) and DE/MBSE literature is provided. Then an MBSE process along with specific methods tailoring the use of SysML within the Cameo Enterprise Architecture tool is presented. This work builds upon a previously published Systems Architecture Model (SAM) development method and is designed to permit style diversity across peer constituent models and ensure that every piece of data has an authoritative source of truth (ASOT) within the federation. This paper then presents the application of this methodology to the Ranger Lunar Rover system by making use of its openly published SysML model. Finally, the benefits and challenges of this methodology are discussed prior to drawing closing conclusions and identifying future areas of research.","PeriodicalId":54439,"journal":{"name":"Systems Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136212985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract One of the impediments to transforming urban cities into smart cities is the security and privacy concerns that arise due to use of Internet of Things (IoT) devices in various smart city applications. While IoT device vendors publish their security and privacy policies, manual evaluation of these policies is tedious and prone to misinterpretation as there is a lot of variability in the language used across IoT vendors. Local administrations and policy analysts are faced with understanding the implications of integrating IoT devices with differing security and privacy characteristics but lack methods that support them in analysis of privacy characteristics from a holistic perspective. In this paper, a methodology for knowledge elicitation from textual information is outlined to evaluate privacy characteristics of IoT devices. The methodology includes natural language processing and deep learning techniques to evaluate the relevance of IoT privacy policies to the National Institute of Standards and Technology (NIST) security and privacy framework 5 . Based on the analysis, text similarity scores are calculated for each IoT privacy policy document and each section of the policy document is labeled to NIST categories and functions. Analysis of these resulting labels and scores helps analysts to gain insights on each privacy policy as well as provide a holistic perspective of the privacy characteristics of IoT devices used in smart city applications. For example, all the policy documents used in the study talk about Protect domain and half of the documents cover Detect domain. However, most of the policies contain gaps regarding the Identify , Respond , and Recover domains. The study has implications for policy analysts, IoT vendors, and smart city administrators in terms of understanding the privacy gaps in IoT devices with respect to the NIST framework which can ultimately support policy alignment to address privacy concerns for smart cities.
{"title":"Knowledge elicitation methodology for evaluation of Internet of Things privacy characteristics in smart cities","authors":"Nil Kilicay‐Ergin, Adrian Barb, Namrata Chaudhary","doi":"10.1002/sys.21726","DOIUrl":"https://doi.org/10.1002/sys.21726","url":null,"abstract":"Abstract One of the impediments to transforming urban cities into smart cities is the security and privacy concerns that arise due to use of Internet of Things (IoT) devices in various smart city applications. While IoT device vendors publish their security and privacy policies, manual evaluation of these policies is tedious and prone to misinterpretation as there is a lot of variability in the language used across IoT vendors. Local administrations and policy analysts are faced with understanding the implications of integrating IoT devices with differing security and privacy characteristics but lack methods that support them in analysis of privacy characteristics from a holistic perspective. In this paper, a methodology for knowledge elicitation from textual information is outlined to evaluate privacy characteristics of IoT devices. The methodology includes natural language processing and deep learning techniques to evaluate the relevance of IoT privacy policies to the National Institute of Standards and Technology (NIST) security and privacy framework 5 . Based on the analysis, text similarity scores are calculated for each IoT privacy policy document and each section of the policy document is labeled to NIST categories and functions. Analysis of these resulting labels and scores helps analysts to gain insights on each privacy policy as well as provide a holistic perspective of the privacy characteristics of IoT devices used in smart city applications. For example, all the policy documents used in the study talk about Protect domain and half of the documents cover Detect domain. However, most of the policies contain gaps regarding the Identify , Respond , and Recover domains. The study has implications for policy analysts, IoT vendors, and smart city administrators in terms of understanding the privacy gaps in IoT devices with respect to the NIST framework which can ultimately support policy alignment to address privacy concerns for smart cities.","PeriodicalId":54439,"journal":{"name":"Systems Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135146206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract As humans play a significant role in maintaining, supporting, and operating systems, it is important to include humans in digital engineering models to ensure that the sociotechnical system is capable of meeting stakeholder requirements. The current research proposes a taxonomy of metrics and taxonomic nomenclature useful for representing humans in systems engineering and integration. This taxonomy is intended to provide a structure for considering metrics in frameworks such as the Objectives and Metrics portion of the human view architecture, as well as in trade studies which may be represented in MBSE models. The proposed taxonomy categorizes human‐centered metrics into four categories, including those affecting system performance, system readiness, interface fitness, and occupational health and safety. It is further recognized that many of these metrics can be affected by the mental or physical state of the human, which are commonly captured in human factors metrics, such as workload or situation awareness. It is proposed that this taxonomy can guide the selection of human‐centered metrics which affect the system's ability to meet system stakeholder requirements.
{"title":"A taxonomy of metrics for human representations in digital engineering","authors":"Michael E. Miller, Emily Spatz","doi":"10.1002/sys.21722","DOIUrl":"https://doi.org/10.1002/sys.21722","url":null,"abstract":"Abstract As humans play a significant role in maintaining, supporting, and operating systems, it is important to include humans in digital engineering models to ensure that the sociotechnical system is capable of meeting stakeholder requirements. The current research proposes a taxonomy of metrics and taxonomic nomenclature useful for representing humans in systems engineering and integration. This taxonomy is intended to provide a structure for considering metrics in frameworks such as the Objectives and Metrics portion of the human view architecture, as well as in trade studies which may be represented in MBSE models. The proposed taxonomy categorizes human‐centered metrics into four categories, including those affecting system performance, system readiness, interface fitness, and occupational health and safety. It is further recognized that many of these metrics can be affected by the mental or physical state of the human, which are commonly captured in human factors metrics, such as workload or situation awareness. It is proposed that this taxonomy can guide the selection of human‐centered metrics which affect the system's ability to meet system stakeholder requirements.","PeriodicalId":54439,"journal":{"name":"Systems Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135965997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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