Symposium on Advances in Electrical, Electronics and Computer Engineering最新文献_第4页

BIM construction model design of multi-in-phase parallel cable layout sequence for high voltage cables 高压电缆多相并联电缆布放顺序BIM施工模型设计

Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680681

Kan Feng, Peicong Sun, Jian Yang, Jinchuan Lu, Yang Zhang

引用次数: 0

Sparse subspace clustering algorithm with non-convex constraints 非凸约束的稀疏子空间聚类算法

Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680101

Lingling Wang, Jinping Tang, Ruyao Sun, Bo Bi

{"title":"Sparse subspace clustering algorithm with non-convex constraints","authors":"Lingling Wang, Jinping Tang, Ruyao Sun, Bo Bi","doi":"10.1117/12.2680101","DOIUrl":"https://doi.org/10.1117/12.2680101","url":null,"abstract":"Key of sparse subspace clustering is to solve an optimization problem based on sparse penalty term to obtain sparse representation coefficients. Ideal sparsity penalty term is ℓ0-norm, but the optimization problem based on the ℓ0-norm is NP-hard. At present, most methods for solving sparse coefficients use the convex relaxation of the ℓ0-norm, ℓ0-norm as a penalty term, but it can not well describe the sparsity of the representation coefficients. Therefore, In this paper, a nonconvex φα energy functional is used to replace the ℓ0-norm in the objective function and a sparse subspace clustering algorithm based on non-convex φα energy functional is proposed, compared with the traditional ℓ1-norm, non-convex φα energy functional increases the sparsity of the representation coefficients and obtains a better similarity matrix, where α ⪆ 0 is a parameter that regulates the degree of non-convex constraints. In addition, the alternating direction method of multipliers is used to solve the optimization problem with non-convex constraints. Experiments on synthetic datasets and face datasets show that the proposed algorithm reduces the error rate of clustering.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"17 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":"127643617","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 load ground station system supporting intelligent charge management 支持智能收费管理的负荷地面站系统设计

Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680658

Lijuan Zhao, Xiangyu Cui, Xiaopeng Xi, Yong Zhang

引用次数: 0

Design of fast and sparse accelerator for deep learning model based on FPGA 基于FPGA的深度学习模型快速稀疏加速器设计

Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680554

Shaotong Li, Yuhang Long

{"title":"Design of fast and sparse accelerator for deep learning model based on FPGA","authors":"Shaotong Li, Yuhang Long","doi":"10.1117/12.2680554","DOIUrl":"https://doi.org/10.1117/12.2680554","url":null,"abstract":"At present, there have been many studies to design various CNN hardware accelerators to accelerate the inference of deep neural network models. The FPGA-based CNN reasoning accelerator can provide sufficient computing power support with flexible data accuracy, lower energy consumption and lower application cost, and has received a lot of attention in the application field of IoT terminal devices with limited computing power and energy consumption. Widespread concern. However, although the current FPGA-based CNN accelerator has greatly improved the speed of model reasoning through various methods, most of the methods cannot be effectively applied to actual terminal scenarios due to limitations in memory and energy consumption. In response to this situation, we designed an acceleration framework that takes into account both inference acceleration and energy consumption. Aiming at the limitation of computing power in the terminal environment, optimize a large number of multiplication operations in the convolution operation that consumes the most computing power in the CNN inference stage, by using local cache and matrix transformation formulas, and skipping pairings by zero values in the calculation process the model inference operation is further accelerated while reducing energy consumption. The experimental results show that compared with the current advanced neural network accelerator, not only the computing power has been significantly improved, but also the energy efficiency ratio has achieved better results. Moreover, this method can not only be implemented in FPGA, but also be migrated to other embedded terminals.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"23 16","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131838881","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 magnetic encoder based on temperature compensation 基于温度补偿的磁编码器研究

Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680722

Dongzhi Wang, Quanbing Zhang, Meng Zhao, Tai Zhao

{"title":"Research on magnetic encoder based on temperature compensation","authors":"Dongzhi Wang, Quanbing Zhang, Meng Zhao, Tai Zhao","doi":"10.1117/12.2680722","DOIUrl":"https://doi.org/10.1117/12.2680722","url":null,"abstract":"As a type of sensor intended for the real-time feedback and dynamic monitoring of angular velocity and angular displacement, encoder is widely used in electric vehicles, servo closed-loop control systems, household appliances, cameras and many other fields. In order to reduce the temperature drift caused by ambient temperature to the magnetic encoder, a self-tuning temperature compensation algorithm is proposed in this paper based on the calibration principle. The rationale of this algorithm is that error function is designed to calculate the error at different temperature and room temperature, and the partial derivative is calculated to update the weight coefficient. Finally, the least square model is applied to establish the relationship between Hall output amplitude and temperature coefficient, thus correcting the temperature drift of the encoder. According to the experimental results, the self-tuning temperature compensation algorithm is applicable to compensate for and correct the temperature drift caused by the amplitude of Hall signal at different ambient temperatures. The ultimate accuracy of temperature drift is improved by 0.2° for the encoder.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"22 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":"134390585","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

Short-term load forecasting model of GRU based on improved sparrow search algorithm optimization 基于改进麻雀搜索算法优化的GRU短期负荷预测模型

Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680415

Sheng Gao, Weili Wu

引用次数: 0

Research on the design of DUT board for the V93000 test system V93000测试系统测试板设计研究

Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680123

Zhirong He

引用次数: 0

Short-term power load forecasting based on IWOA-GRU 基于IWOA-GRU的短期电力负荷预测

Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680207

Xiaoyuan Zhao, Yang Wang

引用次数: 0

Flexible job-shop rescheduling based multi-agent system considering TOU electricity price 考虑分时电价的柔性作业车间重调度多智能体系统

Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680476

Bin Sun, Zhenyu Xia, HaiJuan Ye, Xinkang Chen, Shiqi Pan, BinQi Li, H. Sun

引用次数: 0

Analysis of the impact of inverter distributed generation on 10kV power grid relay protection 逆变分布式发电对10kV电网继电保护的影响分析

Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680398

Tiebin Guo, Xiaofeng Zhu, Jia Sun, Xiaozhuo Guan, Zhenxin Li, Xuesong Qi

引用次数: 0