{"title":"Research on convergence of heterogeneous networking for smart operation and monitoring of high-voltage transmission lines","authors":"Danzhen Wang, Xunwei Zhao, Qing Wu, Di Liu, Zhi-gang Wang, Gaoquan Ding","doi":"10.1117/12.2680120","DOIUrl":"https://doi.org/10.1117/12.2680120","url":null,"abstract":"Under the ground that the next generation of power systems is constructing, our research work focuses on the core capabilities of power communication networks for transmission lines, including coverage, service-bearing capacity, flexibility and convenience, and technical security. We propose a convergence solution of heterogeneous networks to form a stable and reliable communication link based on 5G, ad hoc networks, and other technologies to solve the problem of poor network coverage in remote areas and realize data collection and remote control in areas without signal coverage. This system supports the establishment of intelligent monitoring and inspection of overhead transmission lines, offers an early warning service network system, and promotes the improvement of power digital space holographic perception and interconnection capabilities. Finally, we will realize an all-time communication named “anytime, anyplace, always online.”","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117012899","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}
Yang Mazan, Zhiqing Huang, Yi Zhang, Kai Ye, Yunlong Li
{"title":"Deep reinforcement learning-based path planning for net sealing robot","authors":"Yang Mazan, Zhiqing Huang, Yi Zhang, Kai Ye, Yunlong Li","doi":"10.1117/12.2680389","DOIUrl":"https://doi.org/10.1117/12.2680389","url":null,"abstract":"For the path planning problem of overhead transmission net sealing robot in the process of sealing network, a visual perception and decision method based on deep reinforcement learning is proposed. By combining the perceptual capability of convolutional neural networks with the decision-making capability of reinforcement learning, the method achieves direct output control from the visual perception input of the environment to the action through end-to-end learning, forming a closed loop between the system environment perception and decision control directly, and obtaining the optimal decision strategy by maximizing the cumulative reward return of the robot's interaction with the dynamical environment. Simulation experimental results prove that the method can meet the requirements of multi-task intelligent perception and decision making, and better solve the problems of traditional algorithms such as easily falling into local optimum, oscillating in narrow passages and unreachable targets near obstacles, which greatly improve the real-time and adaptability of trajectory tracking and dynamic obstacle avoidance of the net sealing robot and ensure the safe operation of the net sealing robot in transmission line sealing operations.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126819646","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":"Crash clustering technique based on core behavior extraction of program crash states","authors":"Hao Du, Chenyu Yan, Li Lu","doi":"10.1117/12.2680147","DOIUrl":"https://doi.org/10.1117/12.2680147","url":null,"abstract":"Crash report analysis is a necessary step for software maintainers before fixing software bugs. Fuzzing and symbolic execution tools are often used to automate the generation of crash reports, but there are a large number of duplicate crash reports. Although it uses heuristics such as stack hashing, crash points, etc. to reduce duplicate crash reports, the false alarm rate is high and still requires manual analysis to identify them, which requires considerable effort. In this paper, we propose a crash clustering method based on program crash state extraction, which mainly uses fuzzing techniques to explore the program state space, selectively performs path reduction to generate the core behavior of the crashed program runtime, collects the path information for core behavior and generates feature vectors. Then discriminates whether different crash samples are caused by the same root cause through similarity comparison. We evaluated our tool Diccriminate in real software with real vulnerabilities, and the experimental results show that it can perform crash clustering with 94.31% accuracy, which is more than 20% improvement over existing advanced crash clustering techniques, validating the feasibility and practicality of the method in this paper.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"12704 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129118715","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}
Beibei Sun, Yiming Xue, Jie Wang, Ru Zhang, Yiping Rong, Miner Tan
{"title":"A novel medium- and long-term load forecasting method based on sensitivity analysis of multi meteorological indicators","authors":"Beibei Sun, Yiming Xue, Jie Wang, Ru Zhang, Yiping Rong, Miner Tan","doi":"10.1117/12.2680011","DOIUrl":"https://doi.org/10.1117/12.2680011","url":null,"abstract":"Traditional power load or electricity forecasting methods have used only limited meteorological information. Specifically, these methods either only select one of maximal, minimal and average temperature as the influencing indicator, or only capture the very basic meteorological information, instead of exploring the nonlinear relationship between temperature and loads in depth. To overcome the shortcomings of the traditional methods, this paper proposes a new medium- and long-term load forecasting method based on sensitivity analysis of multi meteorological indicators. This method constructs the encoder and decoder between weather features and loads. Moreover, this paper combines this method with XGBoost and SVR, which can improve the accuracy of medium- and long-term forecasting algorithm in the power grid field effectively. The simulation results of this synthesized model show that average daily prediction accuracy rate of the year is 95.37% and the average monthly prediction accuracy rate of the year is 98.02%.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126838899","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}
G. Lu, Lulu Zhang, Jing Ma, H. Dai, Yawei Wei, Bin Wang, Chen Shi, Jun Lu
{"title":"Selection method of key stability features of power grid based on improved ant colony algorithm","authors":"G. Lu, Lulu Zhang, Jing Ma, H. Dai, Yawei Wei, Bin Wang, Chen Shi, Jun Lu","doi":"10.1117/12.2680566","DOIUrl":"https://doi.org/10.1117/12.2680566","url":null,"abstract":"With the continuous advancement of smart grid and the rapid development of computer and information technology, massive amounts of redundant and noisy information are connected to the power grid. Therefore, this paper proposes a key stable feature selection method based on improved ant colony algorithm. First, use the artificial intelligence model to solve the optimal number of key features. Then use Filter based on the minimum redundancy-maximal relevance (mRMR) algorithm and Wrapper based on the improved ant colony algorithm to select the optimal key feature subset in two stages. Finally, example analysis with IEEE39 nodes system is used to verify the availability and effectiveness of the selection method.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127972187","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":"Value analysis of power customers based on combined weight-TOPSIS","authors":"Pei-guang Chen, Yu Wang, Y. Wang","doi":"10.1117/12.2680238","DOIUrl":"https://doi.org/10.1117/12.2680238","url":null,"abstract":"High-quality customers play an important role in the sustained development of power enterprises. Power customer value analysis is the basis for power enterprises to implement differentiated services for customers of different values and maximize benefits. Based on the analysis of power customer value, this paper constructs a customer value evaluation index system including current value and potential value, and determines the combined weight of evaluation index by using Analytic Hierarchy Process (AHP) and entropy weight method, and then combines with Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method to construct an power customer value evaluation model based on combined weight-TOPSIS. Lastly, 15 customers of a prefecture-level city power supply enterprise are selected for specific analysis to verify the effectiveness and practicability of the customer value evaluation model.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128000294","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":"Multiple people continuous tracking and identification using millimeter-wave radar","authors":"Chunyu Wang, Jun Zhang, Yang Liu, Lihua Zhang","doi":"10.1117/12.2680565","DOIUrl":"https://doi.org/10.1117/12.2680565","url":null,"abstract":"Automatic people tracking and identification have a lot of application prospects in access control, intelligent monitoring, personalized service, etc. Although the primary sensors used now are cameras, they are challenging to cope with low light conditions, adverse weather conditions, and clothing changes. The privacy risks brought by cameras cannot be ignored with people's increasing awareness of privacy. In this paper, we use a commercial millimeter-wave radar to track and identify multiple people indoors. The mmWave radar can \"see\" objects even in the dark and protects people's private information. We propose PPMM mechanism to solve the problem of tracking multiple people walking at close distances. What's more, we design transformer for mmWave radar pointclouds (TMP) based on transformer architecture. Finally, we evaluate our model and demonstrate the results on our dataset, which involved 6 people. Our method can track up to 3 people simultaneously. We achieve the best identification accuracy of 86.34% overall different numbers of people scenarios, and the accuracy of single, two, and three people scenarios are 87.93%, 87.00%, and 64.98%.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131459539","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}
Yao Wang, Chuan Liu, Junyi Hu, Aijun Li, Yi Zhang, Hongying Lu
{"title":"Fast black box attack of face recognition system based on metaheuristic simulated annealing","authors":"Yao Wang, Chuan Liu, Junyi Hu, Aijun Li, Yi Zhang, Hongying Lu","doi":"10.1117/12.2680397","DOIUrl":"https://doi.org/10.1117/12.2680397","url":null,"abstract":"Deep neural networks (DNNs), which have high accuracy prediction and stable network performance, have been widely deployed in various fields. However, the adversarial example, a sample of input data which has been modified very slightly in a way, may easily cause a DNN to maximize loss. Instead of white box attack being able to obtain gradient information, most DNN based systems in actual use can only be attacked by multiple queries. In this paper, we regard face recognition (FR) system as target, and propose a new method named SA-Attack to generate adversarial samples which cannot be distinguished by human within very limited queries. Experiments show that SA-Attack can successfully attack advanced face recognition models, including public and commercial solutions, which proves the practicability of our method.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129843473","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":"Comparative study on grid structure of low voltage AC/DC hybrid microgrid based on flexible reliability index","authors":"Hongbo Wang, Xing Zhang, Peng Zhang, Junyang Xu, Xudong Liu, He Xiao, Yue Fan, Hao Wu, Hongshan Zhao","doi":"10.1117/12.2680548","DOIUrl":"https://doi.org/10.1117/12.2680548","url":null,"abstract":"According to the requirements of reliability analysis of different AC/DC hybrid microgrid grids, this paper proposes an analysis method based on flexible reliability index. Firstly, two kinds of universal low voltage AC/DC hybrid microgrid grid structure schemes are proposed; Secondly, the matrix model of microgrid topology is established; Then the flexible reliability index of microgrid is proposed; Finally, by comparing and analyzing the impact of different component failures on the system reliability of a real microgrid under different grid structures, it is verified that the proposed method can comprehensively and accurately reflect the reliability of the microgrid, and has high flexibility and scalability.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121262255","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":"Design of non-delayed full link high precision internal calibration scheme for radar system","authors":"Chaowen Ju, Yixuan Liu, Zhuo Zhang","doi":"10.1117/12.2680471","DOIUrl":"https://doi.org/10.1117/12.2680471","url":null,"abstract":"A non-delayed full link high precision internal calibration scheme of radar system based on built-in calibration module is introduced in this paper. By adding internal calibration module and necessary calibration signal coupling and separation circuit to the existing radar system, this scheme can realize the transmitting, receiving and reference calibration of the radar system in working condition with low cost and low system complexity. It has the characteristics of simple system composition, comprehensive calibration mode, large dynamic range of calibration signal, high precision calibration in full temperature range. It can be used as a feasible scheme for non-delayed calibration of radar system.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126186854","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}