Pub Date : 2023-04-17DOI: 10.1109/SysCon53073.2023.10131139
A. Boumaiza, A. Sanfilippo
Establishment of distributed energy generation through the home and commercial PV applications contributed to the emergence of the energy prosumer role, eliminating the distinction between energy producers and consumers. Blockchain technology provides a different and secure energy-trading solution by automating direct energy transactions within a distributed database architecture. It leverages cryptographic hashing and consensus-based verification. This study aims to implement a versatile Agent-Based Modeling (ABM) simulation framework for electricity exchange to assess the capability of Blockchain technology in household power usage prediction (see Fig. 1). A robust multi-agent structure was created and simulated for Transactive Energy (TE) Distributed Energy Resources (DER) within the ECCH microgrid, using Blockchain technology. The study found that Blockchain-based Local Energy Markets (LEMs) rely on precise short-term forecasts of individual households' energy production and consumption, which are often overlooked. The study initially assessed the accuracy of energy forecasting techniques for specific households to test this assumption. The second step analyzed prediction errors under three different supply scenarios in the market. The results showed low forecasting errors in an LSTM model, which was then integrated into a LEM built on a Blockchain. The research highlights the importance of accurate time series estimation of smart meter data1.
{"title":"Local Energy Marketplace Agents-based Analysis","authors":"A. Boumaiza, A. Sanfilippo","doi":"10.1109/SysCon53073.2023.10131139","DOIUrl":"https://doi.org/10.1109/SysCon53073.2023.10131139","url":null,"abstract":"Establishment of distributed energy generation through the home and commercial PV applications contributed to the emergence of the energy prosumer role, eliminating the distinction between energy producers and consumers. Blockchain technology provides a different and secure energy-trading solution by automating direct energy transactions within a distributed database architecture. It leverages cryptographic hashing and consensus-based verification. This study aims to implement a versatile Agent-Based Modeling (ABM) simulation framework for electricity exchange to assess the capability of Blockchain technology in household power usage prediction (see Fig. 1). A robust multi-agent structure was created and simulated for Transactive Energy (TE) Distributed Energy Resources (DER) within the ECCH microgrid, using Blockchain technology. The study found that Blockchain-based Local Energy Markets (LEMs) rely on precise short-term forecasts of individual households' energy production and consumption, which are often overlooked. The study initially assessed the accuracy of energy forecasting techniques for specific households to test this assumption. The second step analyzed prediction errors under three different supply scenarios in the market. The results showed low forecasting errors in an LSTM model, which was then integrated into a LEM built on a Blockchain. The research highlights the importance of accurate time series estimation of smart meter data1.","PeriodicalId":169296,"journal":{"name":"2023 IEEE International Systems Conference (SysCon)","volume":"9 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":"134064510","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}
Pub Date : 2023-04-17DOI: 10.1109/SysCon53073.2023.10131105
N. Chitsaz, M. Efatmaneshnik
Systems engineering is suitably applied to space programming due to the multidisciplinary and complex nature of space missions where systematic design methods are commonly utilized. For designing a spacecraft, knowledge and expertise from different disciplines are required and numerous projects and subprojects need to work simultaneously and in close coordination. The purpose of this article is to analyze the system design process for a CubeSat using a design structure matrix. Considering the characteristics of the design structure matrix method is a powerful design tool that assists in managing the complexity of system design with many parameters. The design structure matrix method offers advantages to address these deficiencies in the design process of a satellite because it considers multiple factors that exist in the design process. The design structure matrix method helps reduce repetitions in the process. This method has been used to show the interdependent relationships between the different components of CubeSat and present the design process at the system level. In this study, 4 main components and their effect on each other have been demonstrated. The process was identified in the form of a matrix. This study aimed to capture the issues, activities, challenges, and opportunities for improving the conception, design, manufacture, testing, launch and operation of small satellite missions and identify lessons learned for process improvements of future missions.
{"title":"Design Structure Matrix For Design Assurance and Management: The Case of CubeSats","authors":"N. Chitsaz, M. Efatmaneshnik","doi":"10.1109/SysCon53073.2023.10131105","DOIUrl":"https://doi.org/10.1109/SysCon53073.2023.10131105","url":null,"abstract":"Systems engineering is suitably applied to space programming due to the multidisciplinary and complex nature of space missions where systematic design methods are commonly utilized. For designing a spacecraft, knowledge and expertise from different disciplines are required and numerous projects and subprojects need to work simultaneously and in close coordination. The purpose of this article is to analyze the system design process for a CubeSat using a design structure matrix. Considering the characteristics of the design structure matrix method is a powerful design tool that assists in managing the complexity of system design with many parameters. The design structure matrix method offers advantages to address these deficiencies in the design process of a satellite because it considers multiple factors that exist in the design process. The design structure matrix method helps reduce repetitions in the process. This method has been used to show the interdependent relationships between the different components of CubeSat and present the design process at the system level. In this study, 4 main components and their effect on each other have been demonstrated. The process was identified in the form of a matrix. This study aimed to capture the issues, activities, challenges, and opportunities for improving the conception, design, manufacture, testing, launch and operation of small satellite missions and identify lessons learned for process improvements of future missions.","PeriodicalId":169296,"journal":{"name":"2023 IEEE International Systems Conference (SysCon)","volume":"8 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":"129529563","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}
Pub Date : 2023-04-17DOI: 10.1109/SysCon53073.2023.10131166
Mu-Cheng Wang, P. Hershey
This is a practitioner paper focused on the real problem of effectively communicating within distributed and disaggregated multi-domain battlespace operational environments. To do so, communications systems must be adaptive in response to ever-changing on-mission events such as, network congestion (e.g., degraded comms links and excessive network traffic), enemy interference (e.g., jamming, cyber-attacks), line of Sight degradation (e.g., weather conditions). These challenges cause networks to drop packets, and presently they do so according to pre-specified Quality of Service (QoS) policies. However, these QoS policies alone do not actually mitigate the congestion problem because if the impacted streams employ the reliable communication protocols, such as TCP, packets being dropped will be retransmitted over the same route. Thus, this approach can make the congestion problem even worse and waste the valuable bandwidth.The approach presented here introduces the novel Distributed Disaggregated Communications via Reinforcement Learning (RL) and Backpressure (D2CRaB) scheme to address the above stated problem. D2CRaB accomplishes this in two ways: (1) by bridging route selection and congestion control via the backpressure scheme and (2) by leveraging RL to enable the dynamic and continuous adaptation of network situation.
{"title":"Distributed Disaggregated Communications via Reinforcement Learning and Backpressure (D2CRaB)","authors":"Mu-Cheng Wang, P. Hershey","doi":"10.1109/SysCon53073.2023.10131166","DOIUrl":"https://doi.org/10.1109/SysCon53073.2023.10131166","url":null,"abstract":"This is a practitioner paper focused on the real problem of effectively communicating within distributed and disaggregated multi-domain battlespace operational environments. To do so, communications systems must be adaptive in response to ever-changing on-mission events such as, network congestion (e.g., degraded comms links and excessive network traffic), enemy interference (e.g., jamming, cyber-attacks), line of Sight degradation (e.g., weather conditions). These challenges cause networks to drop packets, and presently they do so according to pre-specified Quality of Service (QoS) policies. However, these QoS policies alone do not actually mitigate the congestion problem because if the impacted streams employ the reliable communication protocols, such as TCP, packets being dropped will be retransmitted over the same route. Thus, this approach can make the congestion problem even worse and waste the valuable bandwidth.The approach presented here introduces the novel Distributed Disaggregated Communications via Reinforcement Learning (RL) and Backpressure (D2CRaB) scheme to address the above stated problem. D2CRaB accomplishes this in two ways: (1) by bridging route selection and congestion control via the backpressure scheme and (2) by leveraging RL to enable the dynamic and continuous adaptation of network situation.","PeriodicalId":169296,"journal":{"name":"2023 IEEE International Systems Conference (SysCon)","volume":"43 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":"128915435","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}
Pub Date : 2023-04-17DOI: 10.1109/SysCon53073.2023.10131054
Charlotte Strobbe, Sophia Salas Cordero, R. Vingerhoeds
The benefits of using Model-based System Engineering (MBSE) approaches for the development of projects go beyond just replacing document-centric methods. MBSE is expected to aid in the ability to manage complexity and capture knowledge. By using MBSE approaches on CubeSats this paper aims to address notions of traceability and how system models can be used to verify the fulfillment of requirements. This work is carried out in Papyrus, an open-source model-based engineering tool, and builds on existing studies regarding CubeSats system models. The development of these sorts of models can benefit future CubeSat developers by reducing design time and cost. These models can also be used in an academic setting to facilitate learning about CubeSats and their design process. In this paper, a CubeSat power subsystem SysML model is presented, while the notion of traceability is introduced by the creation of a specific profile for model assumptions and a java code that allows visualizing the impacts of the change of one or more parameters of the CubeSat model. The model proposed in this paper contains key information about a system, such as requirements, structure, behavior, and analysis. This model-based approach for CubeSat subsystems helps to visualize and understand what is needed for the design of a CubeSat power subsystem, while guaranteeing that the designers are clearly aware of which requirements are being met and which are not.
{"title":"Open-source CubeSat MBSE Approach to Address Traceability: Power Subsystem","authors":"Charlotte Strobbe, Sophia Salas Cordero, R. Vingerhoeds","doi":"10.1109/SysCon53073.2023.10131054","DOIUrl":"https://doi.org/10.1109/SysCon53073.2023.10131054","url":null,"abstract":"The benefits of using Model-based System Engineering (MBSE) approaches for the development of projects go beyond just replacing document-centric methods. MBSE is expected to aid in the ability to manage complexity and capture knowledge. By using MBSE approaches on CubeSats this paper aims to address notions of traceability and how system models can be used to verify the fulfillment of requirements. This work is carried out in Papyrus, an open-source model-based engineering tool, and builds on existing studies regarding CubeSats system models. The development of these sorts of models can benefit future CubeSat developers by reducing design time and cost. These models can also be used in an academic setting to facilitate learning about CubeSats and their design process. In this paper, a CubeSat power subsystem SysML model is presented, while the notion of traceability is introduced by the creation of a specific profile for model assumptions and a java code that allows visualizing the impacts of the change of one or more parameters of the CubeSat model. The model proposed in this paper contains key information about a system, such as requirements, structure, behavior, and analysis. This model-based approach for CubeSat subsystems helps to visualize and understand what is needed for the design of a CubeSat power subsystem, while guaranteeing that the designers are clearly aware of which requirements are being met and which are not.","PeriodicalId":169296,"journal":{"name":"2023 IEEE International Systems Conference (SysCon)","volume":"12 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":"122248126","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}
Pub Date : 2023-04-17DOI: 10.1109/SysCon53073.2023.10131091
Albert Wong, Juan Figini, A. Raheem, Gaétan Hains, Y. Khmelevsky, Pak Chun Chu
Stock price prediction with machine learning is an oft-studied area where numerous unsolved problems still abound owing to the high complexity and volatility that technical-factors and sentiment-analysis models are trying to capture. Nearly all areas of machine learning (ML) have been tested as solutions to generate a truly accurate predictive model. The accuracy of most models hovers around 50%, highlighting the need for further increases in precision, data handling, forecasting, and ultimately prediction.In this paper we present the result of our work on high-frequency (every fifteen minutes) stock-price prediction using technical data with a number of exogenous variables. These variables are carefully chosen to reflect the conventional wisdom in a traditional stock analysis on historical trend, general stock market condition, and interest rate movement. Several simple machine learning (ML) algorithms were developed to test the premise that with the appropriate variables, even a simple ML model could produce reasonable prediction of stock prices. Therefore, the originality of our approach is a rational selection of relevant and useful features and also on-the-fly model re-training taking advantage of the human time scale of inference (price prediction) and moderate size of the models. Moreover we do not mix any trading strategy with our stock-price prediction experiments, to ensure that conclusions are not context-dependent.Systems that integrate and test sentiment and technical analysis are considered the best candidates for an eventual generalized trading algorithm that can be applied to any stock, future, or traded commodity. However, much work remains to be done in applying natural language processing and the choice of text sources to find the most effective mixture of sentiment and technical analysis. Work on this area will be included in the next phase of our research project and here we have summarized some of the most relevant existing works in this direction.
{"title":"Forecasting of Stock Prices Using Machine Learning Models","authors":"Albert Wong, Juan Figini, A. Raheem, Gaétan Hains, Y. Khmelevsky, Pak Chun Chu","doi":"10.1109/SysCon53073.2023.10131091","DOIUrl":"https://doi.org/10.1109/SysCon53073.2023.10131091","url":null,"abstract":"Stock price prediction with machine learning is an oft-studied area where numerous unsolved problems still abound owing to the high complexity and volatility that technical-factors and sentiment-analysis models are trying to capture. Nearly all areas of machine learning (ML) have been tested as solutions to generate a truly accurate predictive model. The accuracy of most models hovers around 50%, highlighting the need for further increases in precision, data handling, forecasting, and ultimately prediction.In this paper we present the result of our work on high-frequency (every fifteen minutes) stock-price prediction using technical data with a number of exogenous variables. These variables are carefully chosen to reflect the conventional wisdom in a traditional stock analysis on historical trend, general stock market condition, and interest rate movement. Several simple machine learning (ML) algorithms were developed to test the premise that with the appropriate variables, even a simple ML model could produce reasonable prediction of stock prices. Therefore, the originality of our approach is a rational selection of relevant and useful features and also on-the-fly model re-training taking advantage of the human time scale of inference (price prediction) and moderate size of the models. Moreover we do not mix any trading strategy with our stock-price prediction experiments, to ensure that conclusions are not context-dependent.Systems that integrate and test sentiment and technical analysis are considered the best candidates for an eventual generalized trading algorithm that can be applied to any stock, future, or traded commodity. However, much work remains to be done in applying natural language processing and the choice of text sources to find the most effective mixture of sentiment and technical analysis. Work on this area will be included in the next phase of our research project and here we have summarized some of the most relevant existing works in this direction.","PeriodicalId":169296,"journal":{"name":"2023 IEEE International Systems Conference (SysCon)","volume":"61 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":"124341159","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}
Pub Date : 2023-04-17DOI: 10.1109/SysCon53073.2023.10131071
M. F. C. Júnior, Gabriel T. Jesus, Irineu S. Yassuda, Marcos Nóbrega, Feliciano Silva, P. M. Sousa, Hugo F. L. Santos
The dynamics of innovation in complex products and systems (CoPS) differs from the mass production industries. Integration Readiness Levels (IRL) represent technology maturity related to the integration of two or more technological elements in a system, addressing Technology Readiness Levels (TRL) application challenges. Earned readiness management (ERM) is a method for scheduling, monitoring, and evaluating the development of complex product systems. ERM could incorporate IRL advances, practitioners are adopting IRL and understanding its differences from TRL, and it is relevant to approach technology development projects in a system for value delivery in CoPS. The objective is to identify IRL-oriented work packages to establish ERM for space systems aiming at the application of ERM in CoPS technology development projects. This paper used NASA WBS standards for space flight and for research and technology projects to identify which work package elements could relate to IRL and compose ERM, and used ISO/IEC/IEEE 15288 life cycle process definitions to support the analysis. The results could be expanded to other CoPS sectors as they used broad systems engineering concepts and standards.
{"title":"Identifying Integration Readiness Levels oriented work packages to establish Earned Readiness Management","authors":"M. F. C. Júnior, Gabriel T. Jesus, Irineu S. Yassuda, Marcos Nóbrega, Feliciano Silva, P. M. Sousa, Hugo F. L. Santos","doi":"10.1109/SysCon53073.2023.10131071","DOIUrl":"https://doi.org/10.1109/SysCon53073.2023.10131071","url":null,"abstract":"The dynamics of innovation in complex products and systems (CoPS) differs from the mass production industries. Integration Readiness Levels (IRL) represent technology maturity related to the integration of two or more technological elements in a system, addressing Technology Readiness Levels (TRL) application challenges. Earned readiness management (ERM) is a method for scheduling, monitoring, and evaluating the development of complex product systems. ERM could incorporate IRL advances, practitioners are adopting IRL and understanding its differences from TRL, and it is relevant to approach technology development projects in a system for value delivery in CoPS. The objective is to identify IRL-oriented work packages to establish ERM for space systems aiming at the application of ERM in CoPS technology development projects. This paper used NASA WBS standards for space flight and for research and technology projects to identify which work package elements could relate to IRL and compose ERM, and used ISO/IEC/IEEE 15288 life cycle process definitions to support the analysis. The results could be expanded to other CoPS sectors as they used broad systems engineering concepts and standards.","PeriodicalId":169296,"journal":{"name":"2023 IEEE International Systems Conference (SysCon)","volume":"34 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":"123061220","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}
Pub Date : 2023-04-17DOI: 10.1109/SysCon53073.2023.10131213
Haifeng Zhu, A. McDermott
Functional/logical architecture development using Model-Based Systems Engineering (MBSE) brings in benefits of efficient and less error-prone development for complex products. However, today many enterprises’ existing infrastructures, such as requirements and processes, are not compatible with MBSE technologies. During migration from such a non-MBSE environment to an MBSE paradigm, many challenges arise and cause significant modeling difficulties. Dealing with them incorrectly, beyond errors and usability problems, will at least cause prohibitive costs that likely lead to program failures and prevent the adoption of MBSE. In this paper, these severe challenges are described, and the methods and strategies for functional/logical architecture development for a partially built product are developed. Specifically, an algorithm is devised to find the minimum number of requirements to support the modeling of a specific safety case, a functional element or a system component. In addition, a strategy is developed to architect the functional/logic architecture in an optimal way. With results from a study case of an airplane electrical power system, it is shown that the speed of modeling is significantly improved, some at approximately 5 times. This largely increases the chances of meeting Preliminary Design Review and avoiding program failures, which can enable further motivations of migrating towards MBSE in the enterprise.
{"title":"Optimal Architecting Strategy for Partially Developed Products: Challenges and Solutions","authors":"Haifeng Zhu, A. McDermott","doi":"10.1109/SysCon53073.2023.10131213","DOIUrl":"https://doi.org/10.1109/SysCon53073.2023.10131213","url":null,"abstract":"Functional/logical architecture development using Model-Based Systems Engineering (MBSE) brings in benefits of efficient and less error-prone development for complex products. However, today many enterprises’ existing infrastructures, such as requirements and processes, are not compatible with MBSE technologies. During migration from such a non-MBSE environment to an MBSE paradigm, many challenges arise and cause significant modeling difficulties. Dealing with them incorrectly, beyond errors and usability problems, will at least cause prohibitive costs that likely lead to program failures and prevent the adoption of MBSE. In this paper, these severe challenges are described, and the methods and strategies for functional/logical architecture development for a partially built product are developed. Specifically, an algorithm is devised to find the minimum number of requirements to support the modeling of a specific safety case, a functional element or a system component. In addition, a strategy is developed to architect the functional/logic architecture in an optimal way. With results from a study case of an airplane electrical power system, it is shown that the speed of modeling is significantly improved, some at approximately 5 times. This largely increases the chances of meeting Preliminary Design Review and avoiding program failures, which can enable further motivations of migrating towards MBSE in the enterprise.","PeriodicalId":169296,"journal":{"name":"2023 IEEE International Systems Conference (SysCon)","volume":"4 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":"115025282","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}
Pub Date : 2023-04-17DOI: 10.1109/SysCon53073.2023.10131207
Kléber M. Cabral, Jefferson Silveira, P. Jardine, S. Givigi
Autonomous construction is a process that uses robots to build structures. In those, the self-assembly denotes the robotic construction solutions where the robots are used as the structure parts. A common problem in self-assembly strategies is that given a homogeneous group of robots (a swarm), how the next robot to assemble a structure can be selected. Such selection can be even more complex if there are multiple structures being assembled simultaneously by the same group of robots. In this paper, we model the selection of robots as a task assignment problem, and we propose an auction-based method to compute an order of which robots will move to structures being assembled. Our algorithms are validated using mathematical proofs and simulations. The analysis of the results shows that our algorithms outperform a baseline selection method while guaranteeing communication between robots in the swarm. Moreover, our solution is shown to be power efficient, reducing battery consumption while the robot is in an idle state, waiting to be assigned.
{"title":"Auction-based solution for the ordering problem in robotic self-assembly","authors":"Kléber M. Cabral, Jefferson Silveira, P. Jardine, S. Givigi","doi":"10.1109/SysCon53073.2023.10131207","DOIUrl":"https://doi.org/10.1109/SysCon53073.2023.10131207","url":null,"abstract":"Autonomous construction is a process that uses robots to build structures. In those, the self-assembly denotes the robotic construction solutions where the robots are used as the structure parts. A common problem in self-assembly strategies is that given a homogeneous group of robots (a swarm), how the next robot to assemble a structure can be selected. Such selection can be even more complex if there are multiple structures being assembled simultaneously by the same group of robots. In this paper, we model the selection of robots as a task assignment problem, and we propose an auction-based method to compute an order of which robots will move to structures being assembled. Our algorithms are validated using mathematical proofs and simulations. The analysis of the results shows that our algorithms outperform a baseline selection method while guaranteeing communication between robots in the swarm. Moreover, our solution is shown to be power efficient, reducing battery consumption while the robot is in an idle state, waiting to be assigned.","PeriodicalId":169296,"journal":{"name":"2023 IEEE International Systems Conference (SysCon)","volume":"140 26","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120960482","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}
Pub Date : 2023-04-17DOI: 10.1109/SysCon53073.2023.10131103
Andressa Camacho Ortiz, L. D. Otero, Juan C. Avendano, M. Gaal
E-learning has become a very common and useful tool for skill development. After the COVID-19 pandemic, the necessity and adaptability of this method increased drastically. Hence, various studies focused on understanding the effectiveness of this method. The academic literature highlights the need to explore alternative solutions that can increase a learner's content retention and satisfaction when learning online. Modern technologies can be a great solution for this need with the correct application and development. This paper focuses on analyzing the effects of content retention and satisfaction through three technologies: online platform, virtual reality (VR), and hologram display. A quantitative and qualitative pilot study was developed to analyze the impact of the three different methods. Based on the results of the study, the online platform had the highest average score on content retention, and the hologram display had the highest satisfaction rate among all the groups.
{"title":"Understanding the Effectiveness of Modern Technologies on Training Retention and Satisfaction","authors":"Andressa Camacho Ortiz, L. D. Otero, Juan C. Avendano, M. Gaal","doi":"10.1109/SysCon53073.2023.10131103","DOIUrl":"https://doi.org/10.1109/SysCon53073.2023.10131103","url":null,"abstract":"E-learning has become a very common and useful tool for skill development. After the COVID-19 pandemic, the necessity and adaptability of this method increased drastically. Hence, various studies focused on understanding the effectiveness of this method. The academic literature highlights the need to explore alternative solutions that can increase a learner's content retention and satisfaction when learning online. Modern technologies can be a great solution for this need with the correct application and development. This paper focuses on analyzing the effects of content retention and satisfaction through three technologies: online platform, virtual reality (VR), and hologram display. A quantitative and qualitative pilot study was developed to analyze the impact of the three different methods. Based on the results of the study, the online platform had the highest average score on content retention, and the hologram display had the highest satisfaction rate among all the groups.","PeriodicalId":169296,"journal":{"name":"2023 IEEE International Systems Conference (SysCon)","volume":"64 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":"132279331","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}
Pub Date : 2023-04-17DOI: 10.1109/syscon53073.2023.10131083
Qingsong Zhao, Qihong Chen, Qunyou Qian, Han Zhao
The anti-aircraft system is a higher level of system consists of many types of systems and plays an irreplaceable role in modern combat. Starting from the design of anti-aircraft system architecture, based on the architecture framework, the anti-aircraft system architecture framework is built from the perspectives of operations, capabilities, systems, equipment, etc., the various view products and the development process of the anti-aircraft system architecture are given. The anti-aircraft system architecture and the development process provides theoretical support and technical reference for the planning, demonstration and design evaluation of the anti-aircraft system.
{"title":"Architecture Design of the Anti-Aircraft System Based on Architecture Framework*","authors":"Qingsong Zhao, Qihong Chen, Qunyou Qian, Han Zhao","doi":"10.1109/syscon53073.2023.10131083","DOIUrl":"https://doi.org/10.1109/syscon53073.2023.10131083","url":null,"abstract":"The anti-aircraft system is a higher level of system consists of many types of systems and plays an irreplaceable role in modern combat. Starting from the design of anti-aircraft system architecture, based on the architecture framework, the anti-aircraft system architecture framework is built from the perspectives of operations, capabilities, systems, equipment, etc., the various view products and the development process of the anti-aircraft system architecture are given. The anti-aircraft system architecture and the development process provides theoretical support and technical reference for the planning, demonstration and design evaluation of the anti-aircraft system.","PeriodicalId":169296,"journal":{"name":"2023 IEEE International Systems Conference (SysCon)","volume":"47 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":"131220574","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}
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