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Study on site selection for pumped-storage power plants, wind farms, and photovoltaic power plants 抽水蓄能电站、风电场、光伏电站的选址研究
Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680543
Q. Jiang, Zhixu Chen, Ping Sun, Lei Wang
{"title":"Study on site selection for pumped-storage power plants, wind farms, and photovoltaic power plants","authors":"Q. Jiang, Zhixu Chen, Ping Sun, Lei Wang","doi":"10.1117/12.2680543","DOIUrl":"https://doi.org/10.1117/12.2680543","url":null,"abstract":"Based on the actual engineering perspective, this paper presents the site of pumped storage power plants, which is determined by collecting and processing elevation data, river system data, road data, meteorological data, building a river system model, optimizing the dam axis model, calculating indexes and matching upper and lower reservoirs to propose a site for pumped storage power plants. We have constructed a comprehensive evaluation system to determine the location of pumped storage plants, wind farms, and photovoltaic plants to provide reference suggestions and research ideas for the initial selection of a new energy base that integrates wind and storage.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"29 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":"126302685","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
Optimization of static data race detection algorithm based on out-of-order parallel SystemC simulation with array element granularity 基于乱序并行SystemC仿真的数组元素粒度静态数据竞争检测算法优化
Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680021
Nie Sun, Zhengqiu Yang, Jiapeng Xiu, Chen Liu
{"title":"Optimization of static data race detection algorithm based on out-of-order parallel SystemC simulation with array element granularity","authors":"Nie Sun, Zhengqiu Yang, Jiapeng Xiu, Chen Liu","doi":"10.1117/12.2680021","DOIUrl":"https://doi.org/10.1117/12.2680021","url":null,"abstract":"The IEEE SystemC standard is widely used in Electronic System-Level design, and this high-level abstraction enables more efficient architectural analysis, design, and redesign. Although it often runs on multi-core processors, SystemC itself is written to execute sequentially and cannot use multi-core resources. Based on Out-of-Order PDES for SystemC, this paper provides a more fine-grained data race detection algorithm, which provides more accurate conflict detection results without losing extra time in compilation. The experimental results show that the accuracy of data race detection based on array element granularity is better than that of field granularity detection, meanwhile it can effectively improve the execution efficiency of the program.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"454 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":"130252161","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
Research on the calibration algorithm of magnetic resonance probe performance testing system 磁共振探头性能测试系统标定算法研究
Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680452
Jiaqi Liu, Junfei Chen, Q. Bao, Chaoyang Liu, Kewen Liu
{"title":"Research on the calibration algorithm of magnetic resonance probe performance testing system","authors":"Jiaqi Liu, Junfei Chen, Q. Bao, Chaoyang Liu, Kewen Liu","doi":"10.1117/12.2680452","DOIUrl":"https://doi.org/10.1117/12.2680452","url":null,"abstract":"In order to replace the complicated operation of the traditional vector network analyzer, the portable magnetic resonance probe performance detection system has become a research hotspot. However, its measurement accuracy has not been high. This research aims to improve the traditional calibration algorithm. While eliminating the directional error, source matching error and reverse tracking error in the traditional single-port network model. The deviation of measurement results caused by the lack of standard calibration parts is eliminated. Compared with the existing algorithms, the accuracy of experimental results are significantly improved.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"19 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":"134277331","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
Adaptive filter based position and speed estimation for high-speed PMSM control 基于自适应滤波的高速永磁同步电机位置和速度估计
Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680676
Zhiwen Zhang, Yue Ren
{"title":"Adaptive filter based position and speed estimation for high-speed PMSM control","authors":"Zhiwen Zhang, Yue Ren","doi":"10.1117/12.2680676","DOIUrl":"https://doi.org/10.1117/12.2680676","url":null,"abstract":"An adaptive filtering strategy is proposed to address the impact of high-frequency chattering, filtering delay and harmonic interference on the estimation accuracy of the conventional sliding mode observer based rotor angular frequency estimation strategy for permanent magnet synchronous motors. At the same time, to solve the problem of narrow passband of the adaptive filter, a frequency-locked loop is introduced to reduce the frequency tracking error, and a quadrature phase-locked loop is introduced to superimpose the fundamental frequency speed on the angular frequency estimation to improve its tracking performance. Finally, the strategy is verified through experiments that the strategy has better dynamic and steady-state performance.","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":"131222994","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 scene understanding network based on driving scene 基于驾驶场景的场景理解网络
Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680491
Shichao Yan, Lu Chen, Yang Liu, Peng Zhai, Lihua Zhang
{"title":"A scene understanding network based on driving scene","authors":"Shichao Yan, Lu Chen, Yang Liu, Peng Zhai, Lihua Zhang","doi":"10.1117/12.2680491","DOIUrl":"https://doi.org/10.1117/12.2680491","url":null,"abstract":"Accurate prediction of the surrounding traffic environment is crucial for the safety of autonomous vehicles. However, the limitation of onboard system resources and the complexity and diversity of driving scenes hinder the deployment of scene understanding in the auto-drive system. This paper optimizes the backbone network, uses deep separable convolution to reduce the complexity of network operations and uses multiple attention mechanisms in the decoding stage. On this basis, this paper adopts the shared strategy for the feature extraction module and jointly trains the semantic segmentation and Object detection, which can reduce the network parameters, improve the reasoning speed, and improve the accuracy. We have evaluated the proposed method on the public data set. The results show that our method achieves the most advanced performance and can balance speed and accuracy.","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":"131307042","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
Fault diagnosis of intelligent electric meter based on SCGWO-DF 基于SCGWO-DF的智能电表故障诊断
Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680474
Zhendong Shen, Ganghong Zhang, Jianan Yuan
{"title":"Fault diagnosis of intelligent electric meter based on SCGWO-DF","authors":"Zhendong Shen, Ganghong Zhang, Jianan Yuan","doi":"10.1117/12.2680474","DOIUrl":"https://doi.org/10.1117/12.2680474","url":null,"abstract":"The diagnosis accuracy of smart meters is very low due to the uneven distribution of fault data. In order to improve the fault diagnosis accuracy of smart meters, a fault diagnosis method for smart meters based on the fusion of improved gray wolf algorithm and deep forest classifier (SCGWO-DF) is proposed. Firstly, the daily operation data of intelligent ammeter is obtained, and the data is classified according to the fault type, and the training set and test set are divided. Secondly, the training set is put into the deep forest classifier to train the diagnostic model. Thirdly, the improved grey wolf optimization algorithm is used to optimize the three key parameters: the number of features, the number of random forests and the number of completely random forests. Finally, the trained model is verified by using the data of a power plant smart meter. The experimental results show that the SCGWO-DF diagnostic method proposed in this paper has a higher accuracy rate than the traditional SVM, DBN and random forest methods, and the accuracy rate reaches 98%.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"1 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":"124397420","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
Proposal of human digital twins system on behaviour recognition 基于行为识别的人类数字孪生系统的提出
Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680185
Xinbo Zhao, Keqing Guan, Nan Zhang, Wei Ding
{"title":"Proposal of human digital twins system on behaviour recognition","authors":"Xinbo Zhao, Keqing Guan, Nan Zhang, Wei Ding","doi":"10.1117/12.2680185","DOIUrl":"https://doi.org/10.1117/12.2680185","url":null,"abstract":"The National Development and Reform Commission and the Central Network Information Office pointed out for the first time in 2020 that digital twin(DT) is one of the seven new generation digital technologies, which means that the digital twin technology has been incorporated into the national development strategy system. Similar to the conception of digital twin, Human Digital Twin(HDT) is referred to as the replica of a physical-world human in the digital world. Human Digital twin has shown considerable potential and attracted extensive attention from industry and academia since it was put forward. This paper discusses the knowledge of HDT and proposes an HDT system based on non-contact sensor Kinect, and briefly introduced digital twin and HDT. This paper discusses the latest HDT technology by combing the references and proposes a system for human digital twin interaction using non-contact sensor Kinect. The future work plan is to develop and implement digital twins in the clothing manufacturing industry, and finally evaluate the application of these digital twins in the real world.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"47 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":"124088368","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
Design and implementation of RISC-V-based vector operation unit for embedded processor 基于risc - v的嵌入式处理器矢量运算单元的设计与实现
Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680059
Zhao You, X. Zhang, Lin Han, Rongcai Zhao
{"title":"Design and implementation of RISC-V-based vector operation unit for embedded processor","authors":"Zhao You, X. Zhang, Lin Han, Rongcai Zhao","doi":"10.1117/12.2680059","DOIUrl":"https://doi.org/10.1117/12.2680059","url":null,"abstract":"In order to address the growing demand for vector operations in embedded systems and the urgent need to enhance vector operations in embedded systems, this paper designs a 128-bit vector operation unit based on the open source RISC-V instruction set. In order to verify the correctness of the vector operation unit, we experimentally verify the vector operation unit in the ModelSim simulation environment, and all modules meet the correctness requirements. In addition, we integrated the vector operation unit with the open-source processor Hummingbird E203 and tested it on a 16MHz FPGA development board. The results show a 1.2 times performance improvement of the demo application compared to the scalar processor.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"61 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":"125813055","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
CFSORT: improved SORT based on coarse to fine mechanism for object tracking CFSORT:基于粗到细的对象跟踪机制的改进SORT
Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680674
Jie Zhao
{"title":"CFSORT: improved SORT based on coarse to fine mechanism for object tracking","authors":"Jie Zhao","doi":"10.1117/12.2680674","DOIUrl":"https://doi.org/10.1117/12.2680674","url":null,"abstract":"In recent years, object tracking attracts much attention as a upstream task in many specific area. Multi-object tracking is one of them and its challenge are ID switch and ID re-matching due to object occlusion and image quality. In this paper, two possible methods are introduced to improve the baseline. In ReID model, a data augmentation method is built. Its main idea is to discuss and reduce the influence of background by retraining the ReID model. As ReID focuses on the features of objects in most cases, backgrounds can affect the feature metric significantly. In this situation, different objects in different backgrounds are captured and extracted as train data. Specially, a pure background, or background without objects are used in triplet loss to maximum the similarity distance. Besides, an updated SORT is implemented as CFSORT. In CFSORT, features are extracted by retrained ReID and two new processes or units are created. Comparing with the baseline, CFSORT requires lower confidence objects and emphasis a “coarse to fine” process. Those two new units are corresponding to similarity and IOU measurement. Currently, all new detection will be treated equally at first matching action. Similarly, more detection and tracked objects will match in new IOU unit which is stricter than the normal one. As a consequence, the result indicates that CFSORT has an improved performance on several evaluation scores in different scales. Meanwhile, this work can also prove the importance of accepting low confidence.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"8 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":"129886807","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
Limitations of wind speed correction in representative years of wind farms 风电场代表性年份风速校正的局限性
Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680421
Shoufeng Wang, Zhenya Qi, Weidong Xu
{"title":"Limitations of wind speed correction in representative years of wind farms","authors":"Shoufeng Wang, Zhenya Qi, Weidong Xu","doi":"10.1117/12.2680421","DOIUrl":"https://doi.org/10.1117/12.2680421","url":null,"abstract":"In the wind resources assessment, it is very important to get the representative wind speed. The routine method used the liner relationship between weather station and wind farm to calculate it. The roughness and shape of the terrain sometimes takes into poor correlation. This text takes a wind farm in Shandong as example to show the limitation of this method.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"1225 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":"128457782","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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