Proceedings of the 2021 6th International Conference on Systems, Control and Communications最新文献

Optimal control strategy of station load for network-load cooperation 网络负荷协同的站负荷最优控制策略

Proceedings of the 2021 6th International Conference on Systems, Control and Communications Pub Date : 2021-10-15 DOI: 10.1145/3510362.3510367

Xiao Chen, Xuesong Shao, Qixin Cai, Yue Li, Yu Zhou

引用次数: 0

VEDA - moVE DAta to balance the grid: research directions and recommendations for exploiting data centers flexibility within the power system VEDA -移动数据以平衡电网:在电力系统中利用数据中心灵活性的研究方向和建议

Proceedings of the 2021 6th International Conference on Systems, Control and Communications Pub Date : 2021-10-15 DOI: 10.1145/3510362.3510365

Amin Ziagham Ahwazi, Chiara Bordin, Sambeet Mishra, P. Ha, A. Horsch

引用次数: 1

Non-cooperative Target Relative Navigation Method Based on Vortex Light, Vision and IMU Information 基于涡旋光、视觉和IMU信息的非合作目标相对导航方法

Proceedings of the 2021 6th International Conference on Systems, Control and Communications Pub Date : 2021-10-15 DOI: 10.1145/3510362.3510371

T. Zou, Linfen Wang, Ting Zhu, Xuerui Zhai

{"title":"Non-cooperative Target Relative Navigation Method Based on Vortex Light, Vision and IMU Information","authors":"T. Zou, Linfen Wang, Ting Zhu, Xuerui Zhai","doi":"10.1145/3510362.3510371","DOIUrl":"https://doi.org/10.1145/3510362.3510371","url":null,"abstract":"In order to obtain the position and attitude information of non-cooperative targets in space, this paper establishes a relative navigation system based on stereo vision and the rotation speed measured by vortex light as observation data. Since the system is a nonlinear system, the unscented Kalman filter has stronger advantages than the extended Kalman filter for the strongly nonlinear system. Therefore, this paper designs an UKF to determine the relative position and attitude information of the dead satellite relative to the service satellite, and uses the service satellite's own inertial navigation system to obtain its precise position, velocity and attitude information, and then obtain the dead satellite's position and attitude information. On this basis, 100 Monte Carlo shooting simulation tests were carried out to verify the superiority of the algorithm. The simulation results show that the overall state of the system is considerable when the observable conditions are met; the estimation accuracy of the relative position is better than 0.01 m, the estimation accuracy of the relative velocity is better than 0.001 m/s, and the estimation accuracy of the target angular velocity is better than 0.005°/s, the relative attitude estimation accuracy is better than 0.04°.","PeriodicalId":407010,"journal":{"name":"Proceedings of the 2021 6th International Conference on Systems, Control and Communications","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123431002","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

User Click Preference Prediction Using Attention-based LSTM Model 基于注意力的LSTM模型的用户点击偏好预测

Proceedings of the 2021 6th International Conference on Systems, Control and Communications Pub Date : 2021-10-15 DOI: 10.1145/3510362.3510368

Sara Abri, Rayan Abri, S. Cetin

引用次数: 1

Research on the monitoring technology for geological disasters by the intelligent video recognition technology based on the optical flow 基于光流的智能视频识别技术对地质灾害监测技术的研究

Proceedings of the 2021 6th International Conference on Systems, Control and Communications Pub Date : 2021-10-15 DOI: 10.1145/3510362.3510372

Q. Meng, Chenhui Wang, Wei Guo

{"title":"Research on the monitoring technology for geological disasters by the intelligent video recognition technology based on the optical flow","authors":"Q. Meng, Chenhui Wang, Wei Guo","doi":"10.1145/3510362.3510372","DOIUrl":"https://doi.org/10.1145/3510362.3510372","url":null,"abstract":"As one of the integrated monitoring technology, the video recognition technology has been applied in the geological disaster monitoring. The urgent problems are to deal with the influencing factors such as the complex environmental changes, occlusion, jitter, etc.. After solving these problems, the difficulty of identifying and tracking the disaster body is reduced, and the physical information recognition of the target body and the acquired video image processing are more accurate. As the result, the capture, recognition and analysis of the motion characteristics of the disaster body can be realized. According this technology, the video image stabilization is used to do de-jitter pre-processing, and then the sparse optical flow algorithm and the dense optical flow algorithm to identify and analyse the image, and the motion information of the disaster body can be identified end. As an empirical example, the video of Zhangjiawan rock avalanches was dealed with this technology. This example shows that this geological hazard monitoring technology can more accurately identify the motion information of the disasters, and it is suitable for the difficult early identification of rockslides in the complex environment of the karst mountainous areas in Southwest China.","PeriodicalId":407010,"journal":{"name":"Proceedings of the 2021 6th International Conference on Systems, Control and Communications","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127294496","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 Improved Fuzzy Actor-critic Learning Approach for Path Planning with Position Constraints 一种改进的带有位置约束的模糊行为-评价学习方法

Proceedings of the 2021 6th International Conference on Systems, Control and Communications Pub Date : 2021-10-15 DOI: 10.1145/3510362.3510364

Wuyi Luo, Jun Zhang, Xuhui Huang, Zhaolei Wang, Chenhui Jia

{"title":"An Improved Fuzzy Actor-critic Learning Approach for Path Planning with Position Constraints","authors":"Wuyi Luo, Jun Zhang, Xuhui Huang, Zhaolei Wang, Chenhui Jia","doi":"10.1145/3510362.3510364","DOIUrl":"https://doi.org/10.1145/3510362.3510364","url":null,"abstract":"In the last decades, path planning with position constraints attracts many attentions. In this paper, we propose an innovative approach named improved fuzzy actor-critic learning (IFACL) to solve this problem without modelling the map containing obstacles and complex calculation. Specifically, only the initial position, target position and obstacle position are needed as inputs for the algorithm to learn a desired path. Based on FACL, a penalty factor is added to enable agents obtaining the ability to avoid obstacles through punishing agents when exceeding position constraints. Then, to optimize the path planned, an excessive coordinate point which can be updated iteratively during the training process is utilized to calculate the reward with penalty factor. The simulation results prove the superiority and effectiveness of this algorithm in different scenarios with regular obstacles and hypothetical irregular obstacles. Due to the flexibility of FACL, this approach may be easily extended to path planning with velocity constraints and dynamic constraints.","PeriodicalId":407010,"journal":{"name":"Proceedings of the 2021 6th International Conference on Systems, Control and Communications","volume":"29 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130257469","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

Bugs in Security Onion 安全洋葱中的漏洞

Proceedings of the 2021 6th International Conference on Systems, Control and Communications Pub Date : 2021-10-15 DOI: 10.1145/3510362.3510363

Li Xu, G. Mogos

引用次数: 0

Dynamic Spatial-Temporal Graph Convolutional GRU Network for Traffic Forecasting 基于动态时空图卷积GRU网络的交通预测

Proceedings of the 2021 6th International Conference on Systems, Control and Communications Pub Date : 2021-10-15 DOI: 10.1145/3510362.3510366

Jinhong Li, Jian Yang, Lei Gao, Lu Wei, Fuqi Mao

引用次数: 3

Construction of Hierarchical Knowledge Graph Based on Electromechanical Equipment 基于机电设备的层次知识图构建

Proceedings of the 2021 6th International Conference on Systems, Control and Communications Pub Date : 2021-10-15 DOI: 10.1145/3510362.3510369

Yajian Zeng, Xiaorong Hou

{"title":"Construction of Hierarchical Knowledge Graph Based on Electromechanical Equipment","authors":"Yajian Zeng, Xiaorong Hou","doi":"10.1145/3510362.3510369","DOIUrl":"https://doi.org/10.1145/3510362.3510369","url":null,"abstract":"The purpose of constructing the knowledge graph of electromechanical equipment is to make full use of the data and information carried by electromechanical equipment, constructing the knowledge association between each independent equipment. The knowledge graph of electromechanical equipment uses a structured way to express the relationship between concepts and entities in electromechanical equipment, and uses this form for data storage and computational reasoning. This can simplify the design of the electromechanical system and improve the efficiency of knowledge reasoning and knowledge calculation. However, due to the complex structure, high correlation and large amount of information of electromechanical equipment, the constructed knowledge graph of electromechanical equipment often has the problem of insufficient association expression and sparse information. Especially lack of expression of its hierarchical relationship. Therefore, this paper proposes a hierarchical relationship construction method based on electromechanical equipment, which is specifically used to extract the information about the physical model, logical model and geometric model of power distribution equipment, electrical equipment, cables, and pipelines in electromechanical equipment, constructing a Hierarchical knowledge graph. The hierarchical relationship construction method is mainly through the integration of logical and physical levels, hierarchical structure of electromechanical equipment data and data clustering as an important feature, so as to obtain stable and hierarchical characteristics of electromechanical equipment knowledge graph. At the same time, the hierarchical features can further complete the construction of the knowledge graph, thereby improving the structure of the knowledge graph and efficiency of the reasoning engine.","PeriodicalId":407010,"journal":{"name":"Proceedings of the 2021 6th International Conference on Systems, Control and Communications","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130489210","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

Design of Non-Destructive Evaluation System for Historical Frescos with New Acoustic-Optical Method 基于声光学新方法的历史壁画无损评价系统设计

Proceedings of the 2021 6th International Conference on Systems, Control and Communications Pub Date : 2021-10-15 DOI: 10.1145/3510362.3510370

Ying Xiang, Jian Dai

引用次数: 0