2021 International Conference on Cyber-Physical Social Intelligence (ICCSI)最新文献_第7页

Prescribed performance based nonlinear vibration control of a flexible arm with shape memory alloy actuator 基于规定性能的形状记忆合金柔性臂非线性振动控制

2021 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2021-12-18 DOI: 10.1109/ICCSI53130.2021.9736245

Izumi Furukawa, M. Deng

引用次数: 1

Cascading Failure Analysis of Cyber-Physical Power Systems under Communication Congestion 通信拥塞下网络-物理电力系统级联故障分析

2021 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2021-12-18 DOI: 10.1109/ICCSI53130.2021.9736209

Xia Li, T. Cheng

{"title":"Cascading Failure Analysis of Cyber-Physical Power Systems under Communication Congestion","authors":"Xia Li, T. Cheng","doi":"10.1109/ICCSI53130.2021.9736209","DOIUrl":"https://doi.org/10.1109/ICCSI53130.2021.9736209","url":null,"abstract":"It is inevitable that cascading failure occur in cyber-physical power systems (CPPS). With the deep integration of power grids and communication networks, the congestion of message packets in communication networks will aggravate the spread of cascading failure, even cause large-scale blackouts. Firstly, the topological and interactions characteristics between power grids and communication networks are analyzed, and a CPPS model is constructed based on the concepts of complex networks. Secondly, considering the congestion problem of message packets in the communication network, an optimal routing strategy of the betweenness centrality to capacity ratio tree (BCCT) approach based on publish-subscribe network (PSN) architecture is presented to reconstruct the transmission paths. Then, to reduce the spread of cascading failure, a cascading failure modeling method of CPPS based on direct current (DC) power flow and optimal routing strategy is studied. Finally, the IEEE 39-bus is used as a blueprint for simulation verification, and the results demonstrate the effectiveness and superiority of the proposed method in comparison with other approaches.","PeriodicalId":175851,"journal":{"name":"2021 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129727105","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}

引用次数: 1

Resource-Oriented Timed Workflow Nets and Simulation Tool Design 面向资源的定时工作流网络与仿真工具设计

2021 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2021-12-18 DOI: 10.1109/ICCSI53130.2021.9736233

Yuansi Hu, Jiacun Wang, Guanjun Liu

引用次数: 0

Efficient Representation to Dynamic QoS Data via Momentum-incorporated Biased Nonnegative and Adaptive Latent Factorization of Tensors 动态QoS数据的动量融合偏置非负自适应潜分解表示

2021 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2021-12-18 DOI: 10.1109/ICCSI53130.2021.9736227

Minzhi Chen, Hao Wu

{"title":"Efficient Representation to Dynamic QoS Data via Momentum-incorporated Biased Nonnegative and Adaptive Latent Factorization of Tensors","authors":"Minzhi Chen, Hao Wu","doi":"10.1109/ICCSI53130.2021.9736227","DOIUrl":"https://doi.org/10.1109/ICCSI53130.2021.9736227","url":null,"abstract":"A nonnegative and multiplicative update on incomplete tensors algorithm enables a biased nonnegative latent-factorization-of-tensors model to efficiently represent dynamic quality-of-service (QoS) data. However, it suffers from slow convergence when the target data increase to perplex its learning objective, as well as tedious tuning of its hyper-parameters. To address these challenging issues, this paper proposes a fast representation learning model for a high-dimensional and incomplete dynamic QoS tensor. It results from a) incorporating a generalized momentum method into its learning scheme to implement efficient knowledge acquisition from dynamic QoS data, b) incorporating a particle swarm optimization algorithm into its training process to implement hyper-parameter adaptation. Empirical studies on two industrial datasets indicate that the newly proposed model is superior to the state-of-the-art models in both computational efficiency and prediction accuracy for missing QoS data. Moreover, parameter-tuning-free is to be highly practical and competitive for industrial applications.","PeriodicalId":175851,"journal":{"name":"2021 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115262771","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}

引用次数: 3

An Adaptive Truth Discovery Model Consisting of Multiple Truth Part and Single Truth Part 一种由多真理部分和单真理部分组成的自适应真理发现模型

2021 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2021-12-18 DOI: 10.1109/ICCSI53130.2021.9736197

Yu Xu, Cao Jianjun, Weng Nianfeng, Zeng Zhixian

引用次数: 0

Sustainability Aspects and Impacts in Cyber-Physical Social Systems 可持续性方面和影响在网络-物理社会系统

2021 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2021-12-18 DOI: 10.1109/ICCSI53130.2021.9736167

C. Semeraro, Mariateresa Caggiano, M. Dassisti

引用次数: 1

Intelligent Decision Algorithm of Target Compound Interception Based on A2C-PPO 基于A2C-PPO的目标复合拦截智能决策算法

2021 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2021-12-18 DOI: 10.1109/ICCSI53130.2021.9736236

Weiwei Bian, Jing Wei, Kui Hua Huang, Jia Xuan Wang, Xin Lv, Wennan Yuan

引用次数: 1

Effectiveness Evaluation Of Fire Control System Based On Improved PSO Algorithm And LSSVM Algorithm 基于改进粒子群算法和LSSVM算法的火控系统有效性评估

2021 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2021-12-18 DOI: 10.1109/ICCSI53130.2021.9736222

Huanyu Yang, Naili Han, Dan-jiao Li, Jun Wang, Y. Bo, Haowen Zheng

{"title":"Effectiveness Evaluation Of Fire Control System Based On Improved PSO Algorithm And LSSVM Algorithm","authors":"Huanyu Yang, Naili Han, Dan-jiao Li, Jun Wang, Y. Bo, Haowen Zheng","doi":"10.1109/ICCSI53130.2021.9736222","DOIUrl":"https://doi.org/10.1109/ICCSI53130.2021.9736222","url":null,"abstract":"In recent years, with the increasing complexity of new terminal air defense weapons as well as the transformation of human warfare form from mechanization to informatization, traditional effectiveness evaluation methods are facing many challenges. For example, the expert scoring method is highly subjective, and the BP neural network evaluation requires a large amount of data as well as easy convergence to local optima value. In this paper, the effectiveness evaluation index system of fire control system is firstly established. Then, based on the principle of data mining algorithm of support vector machine (SVM), a method of effectiveness evaluation of fire control system combining LS-SVM and particle swarm optimization algorithm with improved adaptive parameters (PSO) is proposed. The penalty parameters and kernel function parameters of LS-SVM fire control system evaluation model are optimized by using adaptive parameter particle swarm algorithm to avoid the blindness of manually set parameters. By comparing with other data mining fire control system effectiveness evaluation models, it is verified that the method has higher accuracy and shorter evaluation time for fire control system effectiveness evaluation.","PeriodicalId":175851,"journal":{"name":"2021 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130586346","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}

引用次数: 0

An AI-based Multi-objective Optimization Approach for Monitoring Manufacturing Processes 基于人工智能的制造过程多目标优化监控方法

2021 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2021-12-18 DOI: 10.1109/ICCSI53130.2021.9736241

Mohammadhossein Ghahramani, Yan Qiao, Mengchu Zhou, N. Wu

{"title":"An AI-based Multi-objective Optimization Approach for Monitoring Manufacturing Processes","authors":"Mohammadhossein Ghahramani, Yan Qiao, Mengchu Zhou, N. Wu","doi":"10.1109/ICCSI53130.2021.9736241","DOIUrl":"https://doi.org/10.1109/ICCSI53130.2021.9736241","url":null,"abstract":"Recently, considerable effort has been devoted to applying new techniques such as Artificial Intelligence (AI) and machine learning in manufacturing systems. Implementing effi-cient fault detection and diagnosis procedure for manufacturing systems can provide manufacturers with significant advantages, e.g., enhancing product quality and yield while reducing cost. Maximizing efficiency and controlling costs is the goal of every operation. Optimization methods like Evolutionary Algorithms can be considered for modeling manufacturing operational procedures using datasets whose contents are populated by various sensors and other data sources. Embracing AI to empower organizations to analyze data can lead to efficient and intelligent automation. In this paper, we propose a hybrid model for monitoring manufacturing operations based on a multi-objective approach. This model considers different conflicting objectives that should be minimized simultaneously. Our goal is to provide an advanced methodology for exploring manufacturing processes and to gain perspective on production status. It enables manufacturers to access the effectiveness of predictive technologies and respond well to any disruptive trends.","PeriodicalId":175851,"journal":{"name":"2021 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117346784","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}

引用次数: 1

Applying model-based system architecture process method for a human-robot digital twin system 基于模型的系统架构过程方法在人机数字孪生系统中的应用

2021 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2021-12-18 DOI: 10.1109/ICCSI53130.2021.9736210

Xi Zhang, Haifeng Wang, Youmin Hu, Xin Zhang, Fang-zheng Zhao, C. Wan

{"title":"Applying model-based system architecture process method for a human-robot digital twin system","authors":"Xi Zhang, Haifeng Wang, Youmin Hu, Xin Zhang, Fang-zheng Zhao, C. Wan","doi":"10.1109/ICCSI53130.2021.9736210","DOIUrl":"https://doi.org/10.1109/ICCSI53130.2021.9736210","url":null,"abstract":"With the development of a new generation of information technology, digital twin generation has become a research trend. However, as a complex system oriented to the product life cycle, there are some challenges for its achievement. As a widely accepted and applied methodology, most industrial fields agreed with that model-based system engineering (MBSE) can improve design quality, development efficiency and avoid risks in the design phase. However, there is few work to discuss the connection between them. Therefore, we explore to apply the model-base system architecture process to implement digital twin system, and adjust some detailed design process for adapting to the characteristics of DT. Finally, taking a human-robot system as an example to illustrate the process of building digital twin system architecture with SysML, moreover, architectural trade-off analysis method (ATAM) demonstrate the applicability of the MBSE-based method in digital twin system designing. This paper presents digital twin system development process based on MBSE based method, and provide a reference for other researchers.","PeriodicalId":175851,"journal":{"name":"2021 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123359030","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}

引用次数: 0