{"title":"Monitoring of Corroded Bolted Joints Connection by Electromechanical Impedance Method","authors":"Erjiang Cui, Likun Li, Jianqun Wang, M. Zhu, Chunyuan Zuo, Cong Zhou","doi":"10.1109/ICCSI55536.2022.9970644","DOIUrl":"https://doi.org/10.1109/ICCSI55536.2022.9970644","url":null,"abstract":"With the increase in infrastructure developments, more and more bolts are used in structures. However, owing to the harsh environment, the corrosion of the bolt is becoming common in civil engineering. Fortunately, vast methods were proposed to determine the corrosion degree of the bolt, such as active sensing by piezo sensors. Unfortunately, the bolt is always local in an inaccessible place and is hard to be detected, and the bolted joints system is so complex that the signal captured by the active sensing method is hard to be distinguished. This paper is exploratory research that aims to figure out the time to the disappearance of clamping force in connection plates for the bolted joints, meanwhile, the corrosion performance of bolt and bolted joints is exhibited.","PeriodicalId":421514,"journal":{"name":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114987739","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}
{"title":"Adaptive multi-missile cooperative guidance law based on integral sliding mode","authors":"Ningjun Xu, Zhangsong Shi, Jing-Guang Sun","doi":"10.1109/ICCSI55536.2022.9970597","DOIUrl":"https://doi.org/10.1109/ICCSI55536.2022.9970597","url":null,"abstract":"This paper addresses the problem of cooperative multi-missile interception of maneuvering targets with terminal angle-of-attack constraint. Firstly, a cooperative guidance model of multi-missile with terminal angle of attack constraint in two-dimensional plane is given. Based on the multi-intelligence finite-time consistency theory, integral sliding mode theory and adaptive algorithm, cooperative guidance laws along the line of sight direction and line of sight normal upward are designed to ensure that each missile can hit the target at the desired angle simultaneously. Finally, the stability analysis of the designed cooperative guidance law is carried out with the help of Lyapunov stability theory, and the effectiveness of the designed cooperative guidance strategy is verified by numerical simulation.","PeriodicalId":421514,"journal":{"name":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132801821","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}
{"title":"An Overcurrent Protection Control Strategy of Three-Phase Inverter for Stand-alone Distributed Generation Systems","authors":"Guanjun Li, Saijin Huang, Haojie Yu, Xiangyu Wang","doi":"10.1109/ICCSI55536.2022.9970566","DOIUrl":"https://doi.org/10.1109/ICCSI55536.2022.9970566","url":null,"abstract":"This paper investigates the output voltage tracking problem of three-phase inverters for the stand-alone distributed generation systems (DGSs). Overcurrent protection is also taken into consideration. Conventionally, cascade control scheme is utilized to restrict the currents by reference current signals. However, it is hard to realize rapid dynamic response due to the limited bandwidth of the inner current control loops. To solve the above problems, this paper designs a novel current-constraint controller under a noncascade structure. The proposed single-loop control scheme not only ensures the currents within specified ranges but also retains good dynamic performances. Moreover, the proposed controller has a simple structure which overcomes drawbacks of the cascade controller and reduces cost of hardware. Rigorous stability analysis is given under the proposed control scheme. Simulation results are also illustrated to validate the feasibility and effectiveness of the presented controller.","PeriodicalId":421514,"journal":{"name":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121842539","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}
{"title":"Research on a Trajectory Tracking Method of Quadrotor Combining Quaternion and Backstepping","authors":"Yihui Zhang, Shuai Zheng, Jun Li, Y. Zhang","doi":"10.1109/ICCSI55536.2022.9970634","DOIUrl":"https://doi.org/10.1109/ICCSI55536.2022.9970634","url":null,"abstract":"In this paper, a trajectory tracking method for quadrotor position is proposed. The controller is designed using the backstepping method, and the asymptotic stability of position tracking is demonstrated. The quaternion deviation is found according to the current thrust direction and the desired thrust direction, and then the attitude is controlled. To cope with the backward winding phenomenon existing in the quaternion and to enhance the control of the head direction, a regulation strategy based on quaternion and angular velocity zonal adjustment is proposed. The simulation results show the feasibility of the proposed controller and the effectiveness of the control strategy.","PeriodicalId":421514,"journal":{"name":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127089062","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}
Huanyu Yang, Shi Jun, Haowen Zheng, Jun Wang, Y. Bo, Sheng Cao
{"title":"Research on Aircraft Remote Sensing Image Recognition Network Based on Attention Mechanism and TF Learning","authors":"Huanyu Yang, Shi Jun, Haowen Zheng, Jun Wang, Y. Bo, Sheng Cao","doi":"10.1109/ICCSI55536.2022.9970594","DOIUrl":"https://doi.org/10.1109/ICCSI55536.2022.9970594","url":null,"abstract":"Effective differentiation of aircraft types using visible remote sensing images is important for providing military combat information as well as civilian aircraft operations. With the emergence of deep learning, remote sensing aircraft image classification has been well solved, and it gets rid of the limitation of traditional image processing methods that require manual feature extraction. However, deep learning requires a large number of samples for training and optimization of the network, and the current publicly available aircraft image database is very limited. In addition, due to the complexity of aircraft target recognition, the important information recognition capability of the existing models cannot meet the task requirements. To address the above problems, this paper proposes the ResNet50 model based on attention mechanism and transfer learning to classify aircraft remote sensing images. Experimental results based on real datasets show that the performance of this method is significantly improved, compared with traditional models and existing convolutional neural network classification models.","PeriodicalId":421514,"journal":{"name":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129562593","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}
{"title":"Controllable Photovoltaic Scenario Generation via Mixup-based Deep Generative Networks","authors":"Yifei Wu, Bo Wang, Xuanning Song, Jiaxian Zou","doi":"10.1109/ICCSI55536.2022.9970615","DOIUrl":"https://doi.org/10.1109/ICCSI55536.2022.9970615","url":null,"abstract":"As a type of Monte Carlo simulation, scenario generation is an effective method to solve the uncertainty problem in stochastic planning of integrated power systems. This paper proposes a novel model for photovoltaic (PV) scenario generation by employing interpretable condition in controllable generative adversarial networks (GANs). In order to improve the generalization performance of the network and increase the robustness to adversarial examples, a data augmentation strategy is introduced to the network. Simulation results demonstrate that, the proposed model can achieve the controllable generation of scenarios covering explicit statistical characteristics and produce brand new patterns not covered by the existing trajectories.","PeriodicalId":421514,"journal":{"name":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"294 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115929431","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}
{"title":"An Improved Imbalanced Data Classification Algorithm Based on SVM","authors":"Ming Yan, Jun Wang, Dan-jiao Li, Jin Meng","doi":"10.1109/ICCSI55536.2022.9970637","DOIUrl":"https://doi.org/10.1109/ICCSI55536.2022.9970637","url":null,"abstract":"When we deal with most real-world classification problems, the collected datasets are mostly imbalanced. Dataset imbalance means that the number of samples of a certain class greatly exceeds the number of samples of other classes in the dataset, but often a minority class is the main object of our research. When classifying imbalanced datasets, it is easy to misclassify the minority class samples with higher misclassification costs. Therefore, the classification of imbalanced datasets is one of the main difficulties in the field of data mining. In this paper, we propose a support vector machine (SVM) algorithm based on improved whale optimization algorithm, called SWOA-SVM. This algorithm introduces the social group optimization algorithm (SGO) to optimize the problem that the WOA algorithm is prone to premature maturity, and improves the optimization process of the WOA. The performance of SWOA-SVM has been evaluated with SVM and other improved algorithms on multiple commonly used imbalanced datasets, using AUC, Accuracy and G-mean as performance evaluation criteria. The experimental results show that the algorithm can effectively improve the recognition rate of positive samples when dealing with different experimental datasets, which verifies the effectiveness of the algorithm.","PeriodicalId":421514,"journal":{"name":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114300625","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}
{"title":"Green Design of A Descaling Machine for Remanufacturing Cleaning Based on QFDE","authors":"Chen Chen, Qingshan Gong, Mingmao Hu, Zhigang Jiang, Yurong Xiong, Zhanlong Cao","doi":"10.1109/ICCSI55536.2022.9970608","DOIUrl":"https://doi.org/10.1109/ICCSI55536.2022.9970608","url":null,"abstract":"The importance of the reuse of steel plates is highlighted, because of the intensifying pressure of recession and natural resource shortages. The surface rust of steel plates is removed by a remanufacturing cleaning process so that they can be reused, which in turn reduces steel waste and saves costs. However, the remanufacturing cleaning process has disadvantages such as high-labor intensity, high-energy consumption, and high pollution. Therefore, it is necessary to design a descaling machine for remanufacturing cleaning with high efficiency, low pollution, and good cleaning and rust removal effect. Firstly, quality function deployment for the environment (QFDE) is used to obtain the functional characteristics that the designer needs to focus on, and a better structural scheme is obtained by constructing the functional structure expansion solution domain. The design of a descaling machine is a win-win for both customers and manufacturers.","PeriodicalId":421514,"journal":{"name":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115528925","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}
Zhiang Liu, Chang-Ling Chen, Ziyan Zhao, Shixin Liu
{"title":"A Novel Arc-Flow-Graph-Based Modeling and Optimization Method for Parallel-Machine Parallel-Batch Scheduling Problems with Non-Identical Release Time and Product Specifications","authors":"Zhiang Liu, Chang-Ling Chen, Ziyan Zhao, Shixin Liu","doi":"10.1109/ICCSI55536.2022.9970691","DOIUrl":"https://doi.org/10.1109/ICCSI55536.2022.9970691","url":null,"abstract":"Batch processing machine scheduling problems (BPMSP) are an important branch of production scheduling problems and are widely used in many industries including semiconductor manufacturing and metal processing, etc. In this paper, we propose a novel pattern transfer graph and an arc flow graph for a parallel-batch processing problem of jobs with non-identical release time and specifications on parallel machine scenarios with capacity limits. They are used to describe the process of job transfer between batches and the arrangement within batches. Based on them, a novel mixed linear integer programming model is formulated. Unlike the general models, the scale of the formulation is independent of the number of jobs but only related to the number of different kinds of processing time, release time, and specifications of jobs. We compare our model with the state-of-the-art model and demonstrate its significant advantage in solving large-scale instances. In addition, its performance is also tested on a practical problem of nonferrous metal processing to show its great industrial application potential.","PeriodicalId":421514,"journal":{"name":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115341412","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}
{"title":"Proceedings of the International Conference on Cyber-physical Social Intelligence","authors":"","doi":"10.1109/iccsi55536.2022.9970629","DOIUrl":"https://doi.org/10.1109/iccsi55536.2022.9970629","url":null,"abstract":"","PeriodicalId":421514,"journal":{"name":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125052775","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}