Symposium on Advances in Electrical, Electronics and Computer Engineering最新文献_第9页

A cost deviation warning of system based on historical data 基于历史数据的系统成本偏差预警

Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680423

Daniel Xu, Shuo Wang, Yijiang Liu, Weiwei Li, Hui-Juan Huo, Ying Fan, Litong Dong

引用次数: 0

Graph factorization machine based recommendation algorithm with graph construction and attention mechanism 基于图分解机的基于图构造和注意机制的推荐算法

Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680552

Shanghang Song, B. Kong, Lihua Zhou

{"title":"Graph factorization machine based recommendation algorithm with graph construction and attention mechanism","authors":"Shanghang Song, B. Kong, Lihua Zhou","doi":"10.1117/12.2680552","DOIUrl":"https://doi.org/10.1117/12.2680552","url":null,"abstract":"Graphs, as a type of data structure that exists in numerous scenarios, are applied in various fields of the internet, such as recommendation algorithms, community detection, path search, and so on. In recent years, with the rapid development of the internet, the amount of graph data has greatly increased, and analyzing and utilizing these graph data to establish graph network models and apply them to various real-life production and living scenarios is of significant importance, such as using user-item data to establish a recommendation algorithm model for recommendations. Currently, many graph neural network models have achieved good results, but there is still room for improvement. Better algorithms can more accurately understand the user's needs and bring a better recommendation experience to the user. The paper designs a new way of constructing graphs and improves the graph network message-passing algorithm. A new graph neural network algorithm, GAFM (Graph Attention Factorization Machines), is proposed. Compared with traditional algorithms, this algorithm will construct graph structures of users and items based on original data, and can also construct item graph data by linking to a knowledge base to introduce new items. When this algorithm performs message passing between nodes, it will consider the first-order neighbor set of the central node and the second-order cross-item of the first-order neighbor set, and use an attention mechanism to regulate the weight in the message passing process to capture high-dimensional neighbor information and improve accuracy. The experimental results on real-world datasets show that the algorithm has better performance compared to existing graph recommendation algorithms.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"161 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":"133505003","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

RGB image and monochromatic image of hyperspectral image for identification of apple fungi infection RGB图像和单色图像的高光谱图像用于苹果真菌侵染鉴定

Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680244

Wenbing Lv, Haoyu Chang, Shenmin Zhang, Shizhuang Weng, Ling Zheng

引用次数: 0

Research and design of a C-band miniaturized, low-power, high-isolation T/R component c波段小型化、低功耗、高隔离收发器件的研究与设计

Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680087

Haifeng Song, Cheng-Yueh Liu

引用次数: 0

Design of image mosaic algorithm for substation 变电站图像拼接算法设计

Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680597

Minxue Zhang, Xiu Ji, Minxu Liu

引用次数: 0

Construction of robot ontologies knowledge base in intelligent space 智能空间中机器人本体知识库的构建

Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680657

Yupei Wang, Wei Li, Guoliang Liu, Xinchi Li, Jie Hu, Shunyu Yao, Hongyu Lu

引用次数: 0

Distribution network state estimation based on maximum likelihood under mixed measurement 混合测量下基于最大似然的配电网状态估计

Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680069

Yang Guan, Yinong Cai, Xuanyu Song, Qiutong Wu

{"title":"Distribution network state estimation based on maximum likelihood under mixed measurement","authors":"Yang Guan, Yinong Cai, Xuanyu Song, Qiutong Wu","doi":"10.1117/12.2680069","DOIUrl":"https://doi.org/10.1117/12.2680069","url":null,"abstract":"Aiming at the current situation that the extended Kalman filter (EKF) method, which is mainly used in power system dynamic state estimation, has poor adaptability and limited application scope, a new dynamic state estimation method is adopted. Firstly, the variable parameter exponential smoothing method is used to construct the state transition function; Using micro synchronous phasor measurement technology（μ PMU) and distribution network data acquisition and measurement system (smart meter) mixed measurement data to build three-phase mixed measurement equation, so as to build a state space model. Secondly, according to Bayesian probability principle, the maximum likelihood posterior probability density likelihood function is constructed for the state space model, and the optimal solution of the state variable is obtained by maximizing it. Finally, the conditional posterior Cramerol lower bound (CPCRLB) of the mean square error of the estimation error is derived to determine whether the result of the state estimation is optimal. Through simulation analysis in three-phase unbalanced distribution network, the results show that the algorithm proposed in this paper meets the accuracy constraints and has higher estimation accuracy than the traditional EKF algorithm, which verifies the effectiveness of the proposed algorithm.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"27 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":"125222592","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

Study on synoptic diagnosis of large-scale wind power abnormal state events under the influence of cold wave 寒潮影响下大型风电异常状态的天气诊断研究

Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680094

Fang Qin, Huang Ding, Fang Cui

{"title":"Study on synoptic diagnosis of large-scale wind power abnormal state events under the influence of cold wave","authors":"Fang Qin, Huang Ding, Fang Cui","doi":"10.1117/12.2680094","DOIUrl":"https://doi.org/10.1117/12.2680094","url":null,"abstract":"In December 2020, affected by the cold wave and extreme low temperature, the output of regional large-scale wind power clusters fluctuated significantly. The maximum fluctuation of wind power in the whole grid accounted for 37% of the total installed capacity, which seriously threatened the safe and stable operation of the grid. In order to explore the generation mechanism of this large-scale wind power cluster output fluctuation process, this paper uses conventional terrain data and 1°× 1°reanalysis data ( provided by NCEP/NCAR) to analyze the weather situation, meteorological element characteristics and relevant physical quantity fields of this process. The results show that in the early stage of the process, low heat pressure and inverted trough develop on the ground, and the ground temperature rises significantly. Later, the mid latitude ladder trough guides the northern cold air to the south, and the cold high on the ground develops to the intensity of cold wave. The narrow pipe effect of terrain accelerates the movement of cold air, and the range of surface cooling increases significantly. In addition, there is a significant correlation between the change process of surface temperature and relative humidity before the event and this large-scale wind power abnormal operation event. Before the cold wave, the near surface temperature rises, the relative humidity increases, and the atmosphere is in a state of easy saturation. This provides favorable background conditions for the rise and condensation of water vapor in the cold wave weather, leading to a large number of wind turbine operating condition alarms in hilly areas, and significant changes in the output of the whole grid wind power cluster in a short time.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"18 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":"125327721","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

Garbage classification algorithm based on improved EfficientNetV2 network 基于改进的EfficientNetV2网络的垃圾分类算法

Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680151

Jiali Cui, Hang Li, Zhenghui Hu

引用次数: 0

Analysis of the digital transfer framework of power grid engineering based on the integration of QR code and blockchain 基于二维码与区块链集成的电网工程数字传输框架分析

Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680662

Chun Zhao, Jin Shao, Rong Zhang, Weiguang Mu, Jiyong Zhang

{"title":"Analysis of the digital transfer framework of power grid engineering based on the integration of QR code and blockchain","authors":"Chun Zhao, Jin Shao, Rong Zhang, Weiguang Mu, Jiyong Zhang","doi":"10.1117/12.2680662","DOIUrl":"https://doi.org/10.1117/12.2680662","url":null,"abstract":"The digital transfer of power grid engineering is faced with problems of multiple links, multiple objects and multiple data. During the transfer process, various resources are difficult to locate, correlate and trace, and the data of each link is repeated, which consumes a lot of manpower. In this study, we propose a two-dimensional code for power grid engineering based on QR technology, establish a unified basic identity library for basic elements of power grid engineering such as personnel, units, projects, equipment, and atlases, and realize the organic correlation of various objects of power grid engineering and the information penetration of various power grid majors. Research and build a code management and control technology platform for power grid engineering, take power grid engineering management as the main line, combine State Grid chain(Blockchain) to realize the whole process of code generation, authorization, code use, and cancellation of power grid engineering code on the chain, digitally empower grid management of power grid engineering, and accelerate the digital transformation of power grids.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"119 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":"116715137","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