Cybernetics and Systems最新文献_第4页

An Optimized and Stable CF2 Mobile Robot Motion Planning Approach and Adaptation for Moving Targets 一种优化稳定的CF2移动机器人运动规划方法及其对运动目标的自适应

IF 1.7 4区计算机科学

Cybernetics and Systems Pub Date : 2023-08-17 DOI: 10.1080/01969722.2023.2247256

Safa Ziadi, M. Njah

引用次数: 0

Soft-Computing Techniques to Address Industrial and Environmental Challenges 解决工业和环境挑战的软计算技术

IF 1.7 4区计算机科学

Cybernetics and Systems Pub Date : 2023-08-10 DOI: 10.1080/01969722.2023.2240644

Álvaro Herrero, D. Urda, Esteban Jove, M. Topolski, E. Corchado

引用次数: 0

Using Congestion to Improve Short-Term Velocity Forecasting with Machine Learning Models 利用机器学习模型利用拥塞改进短期速度预测

IF 1.7 4区计算机科学

Cybernetics and Systems Pub Date : 2023-08-09 DOI: 10.1080/01969722.2023.2240649

Cristián Delpiano Lira, Aldo Araya, Bastián Véjar, Fernando Ordóñez, Sebastián Ríos

引用次数: 0

Multivariate Adaptive Downsampling Algorithm for Industry 4.0 Visual Analytics 工业4.0可视化分析的多变量自适应下采样算法

IF 1.7 4区计算机科学

Cybernetics and Systems Pub Date : 2023-08-08 DOI: 10.1080/01969722.2023.2240650

Javier Franco, Ander García, Amaia Gil, Juan Luís Ferrando, Xabier Badiola, M. Saez de Buruaga

引用次数: 0

A Clustering Extension of HUEPs for the Analysis of Performance Anomalies in Robots 机器人性能异常分析的huep聚类扩展

IF 1.7 4区计算机科学

Cybernetics and Systems Pub Date : 2023-08-04 DOI: 10.1080/01969722.2023.2240648

Nuño Basurto, Carlos Cambra, Álvaro Herrero, D. Urda

引用次数: 0

Multi-Instance Attention Network for Anomaly Detection from Multivariate Time Series 多元时间序列异常检测的多实例关注网络

IF 1.7 4区计算机科学

Cybernetics and Systems Pub Date : 2023-08-03 DOI: 10.1080/01969722.2023.2240651

Gye-Bong Jang, Sung-Bae Cho

引用次数: 1

Genetic Algorithm-Based Task Assignment for Fleet of Unmanned Surface Vehicles in Dynamically Changing Environment 基于遗传算法的动态变化环境下无人水面车队任务分配

IF 1.7 4区计算机科学

Cybernetics and Systems Pub Date : 2023-07-27 DOI: 10.1080/01969722.2023.2240645

Miroslav Dvorak, P. Doležel, Dominik Stursa, Mohamed Chouai

引用次数: 0

Performance Investigation of EMFO-Based Perpetual Online Tuned Variable SR-Controller in Simulated Real Environment 仿真真实环境下基于emfo的永续在线调谐变sr控制器性能研究

IF 1.7 4区计算机科学

Cybernetics and Systems Pub Date : 2023-07-04 DOI: 10.1080/01969722.2022.2073703

Vishal Vishnoi, S. Tiwari, R. Singla

{"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}

引用次数: 0

A Fuzzy Analysis Approach to Green-Resilient Supplier Selection in Electronic Manufacturing Systems 电子制造系统绿色弹性供应商选择的模糊分析方法

IF 1.7 4区计算机科学

Cybernetics and Systems Pub Date : 2023-07-04 DOI: 10.1080/01969722.2022.2067633

Mansour Abedian, A. Saghafinia, Maryam Hejazi

{"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}

引用次数: 3

Attack Detection in Wireless Sensor Network: A Big Data Perspective 无线传感器网络攻击检测:大数据视角

IF 1.7 4区计算机科学

Cybernetics and Systems Pub Date : 2023-05-17 DOI: 10.1080/01969722.2022.2157615

Kulkarni A. V., Mithra V., Radhika Menon

引用次数: 0