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

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Obstacle Detection of Unmanned Surface Vessel based on Faster RCNN 基于更快RCNN的无人水面舰艇障碍物检测
2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128076
Jiahe Cai, Sheng Du, Chengda Lu, Bo Xiao, Min Wu
{"title":"Obstacle Detection of Unmanned Surface Vessel based on Faster RCNN","authors":"Jiahe Cai, Sheng Du, Chengda Lu, Bo Xiao, Min Wu","doi":"10.1109/ICPS58381.2023.10128076","DOIUrl":"https://doi.org/10.1109/ICPS58381.2023.10128076","url":null,"abstract":"With the development of unmanned surface vessel in the world today, obstacle avoidance using environmental information is the basis to ensure its high maneuvering performance and safety. However, directly using standard algorithms will lead to missing and wrong identification severely for characteristics of marine obstacles. This paper adds a multi-scale feature extraction layer of dilation convolution and group convolution to Faster Region based Convolutional Neural Network (Faster-RCNN), the baseline model, and changes the classification algorithm to improve its robustness and accuracy. Soft-Non Maximum Suppression (Soft-NMS) is used to enhance the prediction effects further. After improvements, the mean average precision value increases by 3.35%, and the final loss value decreases by 0.20. Given the phenomenon of missing and misidentification in the prediction by the baseline model, the results of our new model show outstanding performance.","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"9 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":"115873023","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
Towards an Interdisciplinary Technical Debt Interaction and Visualization Tool 面向跨学科技术债务交互和可视化工具
2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128069
Fandi Bi, B. Vogel‐Heuser, Edgar Benet Sapera
{"title":"Towards an Interdisciplinary Technical Debt Interaction and Visualization Tool","authors":"Fandi Bi, B. Vogel‐Heuser, Edgar Benet Sapera","doi":"10.1109/ICPS58381.2023.10128069","DOIUrl":"https://doi.org/10.1109/ICPS58381.2023.10128069","url":null,"abstract":"Technical Debt (TD) has been investigated widely in software engineering for decades. TD comprises technical decisions that offer fast gains yet can make future changes more costly or impossible. There are numerous mature tools in software engineering to support TD Management (TDM). However, their applicability to mechatronics, core to Industry 4.0 services, is limited due to the asynchronous development cycles and inhomogeneous tools & data of the engineering disciplines. In previous studies, we collected TD incidents from semi-structured expert interviews and elaborated on their causes and indicators. Yet, we lack a suitable visualization tool to explore the dataset from the engineering perspectives of the mechanic, electronic, and software engineering that further support the analysis of discipline-specific facts and patterns in understanding the TD phenomena. This work proposes a tool to visualize and interact with the collected TD-related data while addressing interdisciplinary causes and consequences and TD types and their correlations. A prototypical web application combines different views that present and structure the data according to specific problems. From the end-user evaluation, we received positive feedback, ranging from “valuable insights” to “excellent method to support understanding the relationships of cross-disciplinary TD.”","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"11 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":"116287028","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
Tomato disease degree recognition based on RGB and Lab color space conversion method 基于RGB和Lab色彩空间转换方法的番茄病害度识别
2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128053
Haojie He, Chongyang Ning, Muou Liu, Junjie Zhu
{"title":"Tomato disease degree recognition based on RGB and Lab color space conversion method","authors":"Haojie He, Chongyang Ning, Muou Liu, Junjie Zhu","doi":"10.1109/ICPS58381.2023.10128053","DOIUrl":"https://doi.org/10.1109/ICPS58381.2023.10128053","url":null,"abstract":"In this paper, a lightweight convolutional neural network model is proposed to diagnose the disease severity of tomato infection. Different regions of tomato leaf image had obvious threshold differences in Lab color space, and the grading label of disease infection degree of each tomato leaf image was obtained. At the same time, in order to solve the problems of low efficiency and general recognition accuracy of artificial recognition of tomato leaf diseases, and unable to accurately judge the tomato disease grade, this paper proposed a new method based on lightweight convolutional neural network, which selected ShuffleNet V2 as the backbone and applied Attention mechanisms that coordinate channel and spatial bidirectional perception. The results of a large number of cross-validation experiments showed that the accuracy of the network structure in classifying the severity of four common tomato leaf diseases and one healthy leaf infection was 91.817%, and the average accuracy was 85.496%.","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"41 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":"128155677","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
Backstepping-based Anti-disturbance Flight Control for Attitude and Altitude Unmanned Helicopters with State Constraints 基于状态约束的姿态高度无人直升机反步抗干扰飞行控制
2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128011
Yankai Li, Yulong Huang, Hanqing Liu, Jiajie Li
{"title":"Backstepping-based Anti-disturbance Flight Control for Attitude and Altitude Unmanned Helicopters with State Constraints","authors":"Yankai Li, Yulong Huang, Hanqing Liu, Jiajie Li","doi":"10.1109/ICPS58381.2023.10128011","DOIUrl":"https://doi.org/10.1109/ICPS58381.2023.10128011","url":null,"abstract":"In this paper, a state-constrained anti-disturbance control method based on backstepping control is proposed for the altitude attitude unmanned helicopter system under full state constraints. Firstly, a nonlinear disturbance observer is constructed to estimate the system disturbances. Secondly, the flight controller is built based on the backstepping control method and the disturbance estimations for the altitude attitude unmanned helicopter system. Then, the boundedness of closed-loop tracking error system is guaranteed via using the Barrier Lyapunov function technique. Finally, a simulation is carried out in Matlab/Simulink environment to verify the effectiveness of designed helicopter flight controller.","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"55 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":"126557943","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
A Survey of Few-shot Learning-based Compound Fault Diagnosis Methods for Industrial Processes 基于小样本学习的工业过程复合故障诊断方法综述
2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128105
Liang Ma, Fuzhong Shi, Zijing Wu, Kai-xiang Peng
{"title":"A Survey of Few-shot Learning-based Compound Fault Diagnosis Methods for Industrial Processes","authors":"Liang Ma, Fuzhong Shi, Zijing Wu, Kai-xiang Peng","doi":"10.1109/ICPS58381.2023.10128105","DOIUrl":"https://doi.org/10.1109/ICPS58381.2023.10128105","url":null,"abstract":"Once the fault occurs in the industrial processes, the fault maybe always compound faults which take place in different locations, forms, and degrees. How to diagnose the multiple faults with coupling and propagation characteristics, enhance the reliability of the system, and ensure the reliable operation of industrial processes is very important. In this paper, a survey on mechanism and manifestation of symptoms for compound faults is given. Meanwhile, difficulties and research status of compound fault diagnosis methods, especially the few-shot learning-based methods are analyzed and discussed. Moreover, the advantages, disadvantages, and research directions are mentioned.","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"91 9 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":"123480399","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
Modeling lithium-ion Battery in Grid Energy Storage Systems: A Big Data and Artificial Intelligence Approach 电网储能系统中的锂离子电池建模:大数据和人工智能方法
2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128104
Yong Miao, Xinyuan He, C. Gu
{"title":"Modeling lithium-ion Battery in Grid Energy Storage Systems: A Big Data and Artificial Intelligence Approach","authors":"Yong Miao, Xinyuan He, C. Gu","doi":"10.1109/ICPS58381.2023.10128104","DOIUrl":"https://doi.org/10.1109/ICPS58381.2023.10128104","url":null,"abstract":"Grid energy storage system (GESS) has been widely used in smart homes and grids, but its safety problem has impacted its application. Battery is one of the key components that affect the performance of GESS. Its performance and working conditions directly affect the safety and reliability of the power grid. With the development of data analytics and machine learning, the accuracy and adaptability of the battery state estimation model can be greatly improved. This paper proposes a new method to model battery, with low-quality data. First, it designs a data cleaning method for GESS battery operating data, including missing data filling and outlier data repair. Then, the repaired data is used to model battery. A battery mathematical model is proposed based on a deep learning algorithm to realize accurate GESS state estimation. The performance of the developed deep learning method is compared with conventional BP neural network and generalized regression neural network to highlight the technical merits. Results derived in this paper provide a solid basis for high-efficiency GESS operation and energy management.","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"112 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120968255","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
A Short-term Wind Power Forecasting Method Based on NWP Wind Speed Fluctuation Division and Clustering 基于NWP风速波动划分聚类的短期风电预测方法
2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128032
Quanhui Li, Ji Lv, Min Ding, Danyun Li, Zhijian Fang
{"title":"A Short-term Wind Power Forecasting Method Based on NWP Wind Speed Fluctuation Division and Clustering","authors":"Quanhui Li, Ji Lv, Min Ding, Danyun Li, Zhijian Fang","doi":"10.1109/ICPS58381.2023.10128032","DOIUrl":"https://doi.org/10.1109/ICPS58381.2023.10128032","url":null,"abstract":"High-precision wind power prediction is an indispensable tool in the process of wind power integration operation. In order to improve the accuracy of wind power forecasting, this paper proposes a combined forecasting method based on NWP wind speed fluctuation division, Fuzzy C-means clustering (FCM) and Deep Confidence Network (DBN) for forecasting short-term wind power generation. Firstly, the Savitzky-Golay (SG) filter is used to filter the NWP wind speed sequence to obtain the wind speed fluctuation trend sequence. Then, according to the extreme value points of the wind speed fluctuation trend series, the NWP wind speed series is divided into multiple wind speed waves, and the characteristic parameters of the waves are extracted. In addition, wave-based feature parameters utilize FCM to divide waves into multiple classes. Finally, different DBN models are constructed for wind power forecasting according to different wave classes. The results show that the proposed combined method has better performance than the benchmark forecasting method.","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"28 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":"128361141","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
Optimal Attitude Consensus Control of Multiple Rigid-Body Systems with Digraphs 带有向图的多刚体系统姿态最优一致性控制
2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128022
Zhuo Zhang, Rongxin Cui, Shouxu Zhang, Huiping Li, Weisheng Yan
{"title":"Optimal Attitude Consensus Control of Multiple Rigid-Body Systems with Digraphs","authors":"Zhuo Zhang, Rongxin Cui, Shouxu Zhang, Huiping Li, Weisheng Yan","doi":"10.1109/ICPS58381.2023.10128022","DOIUrl":"https://doi.org/10.1109/ICPS58381.2023.10128022","url":null,"abstract":"This article studies the optimal attitude consensus control for multiple rigid-body systems. A distributed control protocol that guarantees the leaderless consensus of attitude and optimization of global performance index is presented. The presented protocol allows the topology graph to only contain a directed spanning tree, and the assumptions adopted in many existing works are removed. A numerical example is finally reported to illustrate the effectiveness of theoretical work.","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"26 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":"134175947","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
$H_{infty}$ control against mixed DoS attacks for cyber-physical systems $H_{infty}$ 控制网络物理系统的混合DoS攻击
2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128085
Hui-Ting Wang, Chuan‐Ke Zhang, Yong He
{"title":"$H_{infty}$ control against mixed DoS attacks for cyber-physical systems","authors":"Hui-Ting Wang, Chuan‐Ke Zhang, Yong He","doi":"10.1109/ICPS58381.2023.10128085","DOIUrl":"https://doi.org/10.1109/ICPS58381.2023.10128085","url":null,"abstract":"This article focuses on the $H_{infty}$ control against mixed denial of service (DoS) attacks for cyber-physical systems (CPSs), where attacks are under zero-input and hold-input strategies. By introducing a unified model describing the simultaneous existence of the two attacks, the CPS can be converted to a switched system with one delay. To ensure control performance, the type-dependent average dwell time (ADT) is applied for the first time to pose constraints on the occurrence frequency of DoS attacks. In the meantime, multiple discontinuous Lyapunov functions (MDLFs) are employed. Upon this, the global uniform exponential stability (GUES) and $H_{infty}$ performance of the closed-loop system are guaranteed. Finally, the effectiveness of our theoretical results is verified by a numerical example.","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"102 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":"134136911","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
Asset Adminstration Shell-based Flexible Manufacturing System 基于资产管理shell的柔性制造系统
2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128027
Zhi Fan, Dachuan Shi, O. Meyer, J. Seidelmann, Hao Wang
{"title":"Asset Adminstration Shell-based Flexible Manufacturing System","authors":"Zhi Fan, Dachuan Shi, O. Meyer, J. Seidelmann, Hao Wang","doi":"10.1109/ICPS58381.2023.10128027","DOIUrl":"https://doi.org/10.1109/ICPS58381.2023.10128027","url":null,"abstract":"Within the era of Industry 4.0, Cyber-Physical Production Systems (CPPS) have been identified as a key technology that enables the flexible manufacturing system (FMS) and ultimately accelerates the manufacturing paradigm shift to mass customization and individualization. To address the challenges of the FMS, we propose an Asset Administration Shell (AAS)-based approach for information modeling of production processes and capabilities of role-based production equipment within a CPPS. On the one hand, our approach intends to decouple production processes from production resources and to decouple the functional roles of production resources from physical assets, which can ultimately increase production flexibility. On the other hand, the interoperable AAS-based information models facilitate both vertical integration within an enterprise and horizontal integration across the value chain, thereby enhancing flexibility. To implement this approach, a middleware-based IT architecture is introduced and demonstrated on a Festo demo workstation.","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"30 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":"132259490","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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