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2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)最新文献

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SGDA: A Saliency-Guided Domain Adaptation Network for Nighttime Semantic Segmentation 一种基于显著性的夜间语义分割域自适应网络
2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128083
Yijia Duan, Jingzheng Tu, Cailian Chen
{"title":"SGDA: A Saliency-Guided Domain Adaptation Network for Nighttime Semantic Segmentation","authors":"Yijia Duan, Jingzheng Tu, Cailian Chen","doi":"10.1109/ICPS58381.2023.10128083","DOIUrl":"https://doi.org/10.1109/ICPS58381.2023.10128083","url":null,"abstract":"Nighttime semantic segmentation has attracted considerable attention due to its crucial status in the smart city. However, it is challenging to handle poor illumination and indiscernible information. To tackle these problems, a saliency-guided domain adaptation network, SGDA, is proposed via adapting daytime models to nighttime scenes. Firstly, a saliency guidance branch is attached to the segmentation network to enrich the spatial features and guide the model to better perceive detail information. Secondly, to embed the saliency guidance to the segmentation network, a pyramid attention architecture is designed to fuse the features from the two branches. Thirdly, an illumination adaptation module is constructed to close the intensity distributions via adversarial learning, with an elaborately designed loss function to improve the performance. Extensive experiments on Dark Zurich dataset and Nighttime Driving dataset validate the effectiveness of SGDA, and indicate that our method improves the accuracy on small object categories,","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123312990","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
Robust tracking control of LCL-type inverter based on fixed-time extended observer method 基于定时扩展观测器的lcl型逆变器鲁棒跟踪控制
2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128017
Menglin Ma, A. Zhang, Fengzeng Zhu, Haonan Zhang
{"title":"Robust tracking control of LCL-type inverter based on fixed-time extended observer method","authors":"Menglin Ma, A. Zhang, Fengzeng Zhu, Haonan Zhang","doi":"10.1109/ICPS58381.2023.10128017","DOIUrl":"https://doi.org/10.1109/ICPS58381.2023.10128017","url":null,"abstract":"Single-phase LCL-type inverter has been widely used in the process of grid connection of photovoltaic system. This paper studies the output tracking control problem for this kind of inverter system with unknown external disturbance. First, the mathematical model of the inverter system is established using Kirchhoff's voltage/current law. And an extended system is constructed based on the inverter model and disturbance. And then, an observer is designed to estimate unknown state variables and external disturbance in a fixed time. After that, an input-output linearization method and the observer variables are used to design a robust tracking controller, which ensures the output of inverter system to accurately track a desired trajectory. Finally, numerical examples demonstrate the validity of the presented theoretical results.","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128349986","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
Energy consumption rectification to remove effects of different outdoor temperatures in degree-days 能耗整改，消除室外不同温度对度天的影响
2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128004
Shouchen Sun, Jiandong Wang, Qingdian Sun, Changsheng Zhao
{"title":"Energy consumption rectification to remove effects of different outdoor temperatures in degree-days","authors":"Shouchen Sun, Jiandong Wang, Qingdian Sun, Changsheng Zhao","doi":"10.1109/ICPS58381.2023.10128004","DOIUrl":"https://doi.org/10.1109/ICPS58381.2023.10128004","url":null,"abstract":"This paper presents an energy consumption rectification method based on heating degree-days. By using this method, the influence of different outdoor temperatures on energy consumption is eliminated, and the energy consumption at the same outdoor temperature is obtained. The linear relationship between heating energy consumption and degree-days is obtained through the physical model of heating house. A standard linear regression can obtain reliable estimates of unknown model parameters. Energy consumption values of different heating methods under the same external environment are calculated. The effect of outdoor temperatures on energy consumption is rectified by using a reliable estimate of the relationship between energy consumption and heating degree-days. Simulation examples based on Trnsys software demonstrate the effectiveness of the proposed method.","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121107058","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
Bayesian Optimized Autoencoder for Predictive Maintenance of Smart Packaging Machines 智能包装机预测维护的贝叶斯优化自编码器
2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128064
Md Murshedul Arifeen, Andrei V. Petrovski
{"title":"Bayesian Optimized Autoencoder for Predictive Maintenance of Smart Packaging Machines","authors":"Md Murshedul Arifeen, Andrei V. Petrovski","doi":"10.1109/ICPS58381.2023.10128064","DOIUrl":"https://doi.org/10.1109/ICPS58381.2023.10128064","url":null,"abstract":"Smart packaging machines incorporate various components (blades, motors, films) to accomplish the packaging process and are involved in almost all types of the manufacturing industry. Proper maintenance and monitoring of the components over time can help industries to maintain a sustainable production environment. On the contrary, a faulty system may degrade production efficiency and increase the cost. Smart packaging machines comprising several sensors can generate time series data and leverage data driven condition monitoring models to overcome faulty conditions. In this work, we have studied the application of Autoencoder as a data driven condition monitoring tool for the predictive maintenance of packaging machines. The trained Autoencoder on the new system's data can detect worn or degraded components over time. We have also used the Bayesian optimization algorithm to tune the hyper-parameters of the Autoencoder for better predictive performance. Moreover, the reconstruction error is analyzed to identify the worn components in the packaging machine.","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115778471","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 Investigation of Multi-Pattern Load Altering Attack Detection* 多模式负载改变攻击检测研究*
2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10127997
Yunpeng Wang, Chunyu Chen, Kaifeng Zhang
{"title":"An Investigation of Multi-Pattern Load Altering Attack Detection*","authors":"Yunpeng Wang, Chunyu Chen, Kaifeng Zhang","doi":"10.1109/ICPS58381.2023.10127997","DOIUrl":"https://doi.org/10.1109/ICPS58381.2023.10127997","url":null,"abstract":"Load-altering attack (LAA) is an important class of cyber-physical attacks against demand-side management (DSM) systems. Previous LAA studies mainly target the detection and mitigation of unique LAAs. In this paper, we consider more general LAA types by assuming that attackers can either perform random or goal-oriented LAAs against single or multiple load buses. We first make an exploration of different types of LAAs and the corresponding models, based on which we synthesize compromised power flow data and design a multi-class classification-based detector to distinguish among different LAA patterns.","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131329548","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
Photovoltaic abnormal data cleaning based on fuzzy clustering-quartile algorithm 基于模糊聚类-四分位数算法的光伏异常数据清理
2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128026
Yidong Li, Danyun Li
{"title":"Photovoltaic abnormal data cleaning based on fuzzy clustering-quartile algorithm","authors":"Yidong Li, Danyun Li","doi":"10.1109/ICPS58381.2023.10128026","DOIUrl":"https://doi.org/10.1109/ICPS58381.2023.10128026","url":null,"abstract":"The irradiance-power curve is an important basis for examining the operating status of photovoltaic power stations. In the actual operation process, sensor failure, abnormal communication and equipment damage will bring a large number of abnormal values to the output data of photovoltaic power plants. It will have a significant impact on a variety of applications based on photovoltaic output data. This paper analyzes the typical outliers on the irradiance-power curve and proposes a photovoltaic output data cleaning method based on fuzzy clustering algorithm and quartile algorithm. By comparing with the quartile method, it is proved that this method can effectively identify abnormal data when there are a large number of outliers in the photovoltaic output data.","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131081172","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
Cooperative Adaptive Cruise Control for Vehicles Under False Data Injection Attacks 虚假数据注入攻击下车辆协同自适应巡航控制
2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128066
Zhongwei Feng, Keyun Qin, Xiaohang Jiao, Feifei Du, Dongshen Li
{"title":"Cooperative Adaptive Cruise Control for Vehicles Under False Data Injection Attacks","authors":"Zhongwei Feng, Keyun Qin, Xiaohang Jiao, Feifei Du, Dongshen Li","doi":"10.1109/ICPS58381.2023.10128066","DOIUrl":"https://doi.org/10.1109/ICPS58381.2023.10128066","url":null,"abstract":"This paper studies the problem of vehicle cooperative adaptive cruise control (CACC) under false data injection attacks on vehicle communications, and an intrusion detection mechanism is designed. When a vehicle is detected to be attacked in CACC, the vehicle will switch from CACC mode to ACC mode. Firstly, the vehicle dynamics model including the acceleration disturbance of the preceding vehicle is established. Then, based on the relative distance, relative velocity and relative acceleration, the quadratic multi-objective optimization performance index function and multi-parameter constraint conditions are established under model predictive control (MPC) framework, and the vehicle predictive control optimization proposition is constructed to obtain the optimal control quantity. Furthermore, the false data injection attack model is set up and an intrusion detection mechanism is presented. Finally, the effectiveness of the intrusion detection mechanism is verified by comparative simulation.","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"225 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115493165","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
Fuzzy hierarchical analysis based on the identification of power grid communication channel quality detection 基于模糊层次分析识别的电网通信信道质量检测
2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128047
Heung-Soo Han, Fengqiu Xu, Xianze Xu
{"title":"Fuzzy hierarchical analysis based on the identification of power grid communication channel quality detection","authors":"Heung-Soo Han, Fengqiu Xu, Xianze Xu","doi":"10.1109/ICPS58381.2023.10128047","DOIUrl":"https://doi.org/10.1109/ICPS58381.2023.10128047","url":null,"abstract":"Power line communication is a crucial infrastructure to promise the development of the smart grid. A fuzzy hierarchical analysis model considering the influence of multiple physical quantities is proposed to detect and evaluate the power line communication channel quality. The theoretical model of power line transmission is integrated with the factors affecting the power lines communication channel, such as the channel nodes, the transmission distance, and the grid load, to evaluate the influence of different physical quantity parameters on channel quality. The fuzzy consistency matrix is used to calculate the fuzzy importance of the events at the bottom of the fault tree and then select the preferred response plan for the channel quality to achieve the channel quality fault detection and early warning. The method can quantify and visualize the influence of different physical quantities on the channel quality via the radar diagram, which can be used to select the solution for the channel of unknown quality and rank the factors according to their weights. Therefore, the scope of grid fault investigation can be reduced and the time and material resources for fault investigation can be saved.","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124427867","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
The Influence of Industrial Robot Application on the Employment of the Manufacturing Industry in China 工业机器人应用对中国制造业就业的影响
2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128006
Hongmei Shao, Hongliang Hu, Xing Liu, Ling Zhang
{"title":"The Influence of Industrial Robot Application on the Employment of the Manufacturing Industry in China","authors":"Hongmei Shao, Hongliang Hu, Xing Liu, Ling Zhang","doi":"10.1109/ICPS58381.2023.10128006","DOIUrl":"https://doi.org/10.1109/ICPS58381.2023.10128006","url":null,"abstract":"With the rapid development of manufacturing intelligence, whether the wide application of industrial robots will have an impact on employment has attracted global attention. The Organization for Economic Cooperation and Development issued a report that the application of robots will have a negative effect on employment in the future. As a developing country, China has become the largest industrial robot market in the world. Whether the economic impact of industrial robot application is different from that of developed countries, and how to effectively cope with the possible employment impact is worth discussing. This paper points out that the application of industrial robots has both creation and substitution effects on employment, and empirically studies the impact of the application of industrial robots on the overall employment level of the manufacturing industry and the difference of the impact on high-skilled and low-skilled jobs from the industry perspective using the data of 13 sub-sectors of manufacturing industry segments from the year 2013 to 2019. The results of this paper show that the creation effect of industrial robot applications on manufacturing employment is greater than the substitution effect. This suggests that the application of industrial robots promotes overall employment demand. Furthermore, the application of industrial robots has a positive impact on the employment demand for high-skilled jobs while simultaneously having a negative impact on the employment demand for low-skilled jobs. The impact on low-skilled personnel is particularly pronounced at this stage. This paper will help to further understand the impact of industrial robot application on employment, and provide suggestions for developing countries to promote the innovation and upgrading of manufacturing industry and actively respond to the impact of the elimination faced by low-skilled workers.","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"470 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123662535","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
Adaptive Neural Network Asymptotic Tracking Control for Autonomous Surface Vehicles 自主地面车辆的自适应神经网络渐近跟踪控制
2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128025
Yongchao Liu, Qingzhi Wang, Baozeng Fu
{"title":"Adaptive Neural Network Asymptotic Tracking Control for Autonomous Surface Vehicles","authors":"Yongchao Liu, Qingzhi Wang, Baozeng Fu","doi":"10.1109/ICPS58381.2023.10128025","DOIUrl":"https://doi.org/10.1109/ICPS58381.2023.10128025","url":null,"abstract":"In this paper, an adaptive neural network asymptotic tracking control method is presented for autonomous surface vehicles (ASV) with unknown uncertainties. In the control design, a smooth function is integrated into backstepping construction, which can achieve asymptotic convergence. The neural networks are borrowed to approximate the lumped nonlinear functions encompassing the unknown dynamics. It can be proved that the tracking errors of ASV can asymptotically converge to zero and all signals of the ASV closed-loop system are bounded. We offer simulation images to exhibit the validity of the devised asymptotic control method of ASV.","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125088733","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
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