Pub Date : 2023-08-17DOI: 10.1080/01969722.2023.2247256
Safa Ziadi, M. Njah
{"title":"An Optimized and Stable CF2 Mobile Robot Motion Planning Approach and Adaptation for Moving Targets","authors":"Safa Ziadi, M. Njah","doi":"10.1080/01969722.2023.2247256","DOIUrl":"https://doi.org/10.1080/01969722.2023.2247256","url":null,"abstract":"","PeriodicalId":55188,"journal":{"name":"Cybernetics and Systems","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42492516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-10DOI: 10.1080/01969722.2023.2240644
Álvaro Herrero, D. Urda, Esteban Jove, M. Topolski, E. Corchado
{"title":"Soft-Computing Techniques to Address Industrial and Environmental Challenges","authors":"Álvaro Herrero, D. Urda, Esteban Jove, M. Topolski, E. Corchado","doi":"10.1080/01969722.2023.2240644","DOIUrl":"https://doi.org/10.1080/01969722.2023.2240644","url":null,"abstract":"","PeriodicalId":55188,"journal":{"name":"Cybernetics and Systems","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44020831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-08DOI: 10.1080/01969722.2023.2240650
Javier Franco, Ander García, Amaia Gil, Juan Luís Ferrando, Xabier Badiola, M. Saez de Buruaga
{"title":"Multivariate Adaptive Downsampling Algorithm for Industry 4.0 Visual Analytics","authors":"Javier Franco, Ander García, Amaia Gil, Juan Luís Ferrando, Xabier Badiola, M. Saez de Buruaga","doi":"10.1080/01969722.2023.2240650","DOIUrl":"https://doi.org/10.1080/01969722.2023.2240650","url":null,"abstract":"","PeriodicalId":55188,"journal":{"name":"Cybernetics and Systems","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46532516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-04DOI: 10.1080/01969722.2023.2240648
Nuño Basurto, Carlos Cambra, Álvaro Herrero, D. Urda
{"title":"A Clustering Extension of HUEPs for the Analysis of Performance Anomalies in Robots","authors":"Nuño Basurto, Carlos Cambra, Álvaro Herrero, D. Urda","doi":"10.1080/01969722.2023.2240648","DOIUrl":"https://doi.org/10.1080/01969722.2023.2240648","url":null,"abstract":"","PeriodicalId":55188,"journal":{"name":"Cybernetics and Systems","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43113952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-03DOI: 10.1080/01969722.2023.2240651
Gye-Bong Jang, Sung-Bae Cho
{"title":"Multi-Instance Attention Network for Anomaly Detection from Multivariate Time Series","authors":"Gye-Bong Jang, Sung-Bae Cho","doi":"10.1080/01969722.2023.2240651","DOIUrl":"https://doi.org/10.1080/01969722.2023.2240651","url":null,"abstract":"","PeriodicalId":55188,"journal":{"name":"Cybernetics and Systems","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44409891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-27DOI: 10.1080/01969722.2023.2240645
Miroslav Dvorak, P. Doležel, Dominik Stursa, Mohamed Chouai
{"title":"Genetic Algorithm-Based Task Assignment for Fleet of Unmanned Surface Vehicles in Dynamically Changing Environment","authors":"Miroslav Dvorak, P. Doležel, Dominik Stursa, Mohamed Chouai","doi":"10.1080/01969722.2023.2240645","DOIUrl":"https://doi.org/10.1080/01969722.2023.2240645","url":null,"abstract":"","PeriodicalId":55188,"journal":{"name":"Cybernetics and Systems","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43411156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-04DOI: 10.1080/01969722.2022.2073703
Vishal Vishnoi, S. Tiwari, R. Singla
Abstract This study uses the enhanced moth flame optimization (EMFO) algorithm with an online tuning approach to optimize the parameters of a variable range split range PID (SRPID) controller. Before implementing the developed EMFO algorithm in the actual plant, it is necessary to investigate the performance of the same in the simulated real environment. Therefore, in the present work, an electrical analogous model of the practical environment is simulated for investigation by considering several effects, namely imperfect insulation, density, viscosity, and compressibility. Further, to check the effectiveness of the proposed algorithm, the controller performance using the EMFO algorithm is compared with the performance using the original MFO algorithm. The validation results show a substantial improvement in the case of EMFO-based controller with an online tuning method in comparison to MFO-based controller. EMFO algorithm exhibits superior performance as it combines the benefits of three modifications (change the spiral path, opposition learning-based initialization, and change in flames selection) in the original MFO algorithm. Furthermore, the system is also investigated for the effect of system dynamics and process disturbance. It is concluded that the developed EMFO algorithm gives superior performance in a simulated real environment paving the way for possible implementation in practical situations.
{"title":"Performance Investigation of EMFO-Based Perpetual Online Tuned Variable SR-Controller in Simulated Real Environment","authors":"Vishal Vishnoi, S. Tiwari, R. Singla","doi":"10.1080/01969722.2022.2073703","DOIUrl":"https://doi.org/10.1080/01969722.2022.2073703","url":null,"abstract":"Abstract This study uses the enhanced moth flame optimization (EMFO) algorithm with an online tuning approach to optimize the parameters of a variable range split range PID (SRPID) controller. Before implementing the developed EMFO algorithm in the actual plant, it is necessary to investigate the performance of the same in the simulated real environment. Therefore, in the present work, an electrical analogous model of the practical environment is simulated for investigation by considering several effects, namely imperfect insulation, density, viscosity, and compressibility. Further, to check the effectiveness of the proposed algorithm, the controller performance using the EMFO algorithm is compared with the performance using the original MFO algorithm. The validation results show a substantial improvement in the case of EMFO-based controller with an online tuning method in comparison to MFO-based controller. EMFO algorithm exhibits superior performance as it combines the benefits of three modifications (change the spiral path, opposition learning-based initialization, and change in flames selection) in the original MFO algorithm. Furthermore, the system is also investigated for the effect of system dynamics and process disturbance. It is concluded that the developed EMFO algorithm gives superior performance in a simulated real environment paving the way for possible implementation in practical situations.","PeriodicalId":55188,"journal":{"name":"Cybernetics and Systems","volume":"54 1","pages":"716 - 740"},"PeriodicalIF":1.7,"publicationDate":"2023-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44282321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-04DOI: 10.1080/01969722.2022.2067633
Mansour Abedian, A. Saghafinia, Maryam Hejazi
Abstract Adopting environmentally sound practices and utilizing resilient issues to face disruptive events and risks are new important agendas for enterprises, governments, and societies. The issue of supplier selection and evaluation in accordance with green and resilient principles has received little attention in the electronic industry. So, the present study aims to consider both criteria of resilience and greenness in a new supplier selection model. This study presents an integrated decision-making method based on the fuzzy set theory and data envelopment analysis (DEA) approach for supplier selection in a supply chain network in an electronic manufacturing company. The fuzzy set theory was used for analyzing suppliers' indicator weights, the suppliers' performance, and rating them with respect to subcriteria. Then, the obtained data were aggregated to classify and prepare them for use in a version assurance region of the DEA method with one dummy input and three output variables to rank the suppliers. The performance of the proposed DEA-based model has been verified through the sensitivity analysis and it has been validated by the existing FIS-based model in the literature. Furthermore, the proposed DEA-based model can be designed with any number of suppliers and criteria and subcriteria.
{"title":"A Fuzzy Analysis Approach to Green-Resilient Supplier Selection in Electronic Manufacturing Systems","authors":"Mansour Abedian, A. Saghafinia, Maryam Hejazi","doi":"10.1080/01969722.2022.2067633","DOIUrl":"https://doi.org/10.1080/01969722.2022.2067633","url":null,"abstract":"Abstract Adopting environmentally sound practices and utilizing resilient issues to face disruptive events and risks are new important agendas for enterprises, governments, and societies. The issue of supplier selection and evaluation in accordance with green and resilient principles has received little attention in the electronic industry. So, the present study aims to consider both criteria of resilience and greenness in a new supplier selection model. This study presents an integrated decision-making method based on the fuzzy set theory and data envelopment analysis (DEA) approach for supplier selection in a supply chain network in an electronic manufacturing company. The fuzzy set theory was used for analyzing suppliers' indicator weights, the suppliers' performance, and rating them with respect to subcriteria. Then, the obtained data were aggregated to classify and prepare them for use in a version assurance region of the DEA method with one dummy input and three output variables to rank the suppliers. The performance of the proposed DEA-based model has been verified through the sensitivity analysis and it has been validated by the existing FIS-based model in the literature. Furthermore, the proposed DEA-based model can be designed with any number of suppliers and criteria and subcriteria.","PeriodicalId":55188,"journal":{"name":"Cybernetics and Systems","volume":"54 1","pages":"577 - 603"},"PeriodicalIF":1.7,"publicationDate":"2023-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41410631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-17DOI: 10.1080/01969722.2022.2157615
Kulkarni A. V., Mithra V., Radhika Menon
{"title":"Attack Detection in Wireless Sensor Network: A Big Data Perspective","authors":"Kulkarni A. V., Mithra V., Radhika Menon","doi":"10.1080/01969722.2022.2157615","DOIUrl":"https://doi.org/10.1080/01969722.2022.2157615","url":null,"abstract":"","PeriodicalId":55188,"journal":{"name":"Cybernetics and Systems","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44071975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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