2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)最新文献_第3页

Communication of Emei Martial Art National Traditional Sports Culture Based on Computer Digital Platform 基于计算机数字平台的峨眉武术民族传统体育文化传播

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362687

Yang Wenming

引用次数: 0

Prediction of remaining battery discharge time based on stepwise linear regression 基于逐步线性回归的电池剩余放电时间预测

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362643

Xiaowen Ma, Jingyuan Zhang, Keyan Liu, Yuanlong Song

引用次数: 0

Research on Strong Constraint Self-training Algorithm and Applied to Remote Sensing Image Classification 强约束自训练算法及其在遥感图像分类中的应用研究

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362662

Zhengwu Yuan, Caigui Lin

{"title":"Research on Strong Constraint Self-training Algorithm and Applied to Remote Sensing Image Classification","authors":"Zhengwu Yuan, Caigui Lin","doi":"10.1109/ICPECA51329.2021.9362662","DOIUrl":"https://doi.org/10.1109/ICPECA51329.2021.9362662","url":null,"abstract":"The remote sensing image classification is the key to remote sensing applications. Due to the large geographic area with a high temporal frequency of remote sensing image. It is difficult to use the conventional neural network to learn the representations of remote sensing images well under a condition of having an imbalance or few data. Meanwhile, the remote sensing image is easy to get but hard to label. The previous work for improving the accuracy of remote sensing image classification involved improving the structure of the Convolutional Neural Network (CNN). However, a semi-supervised learning algorithm proposed in this paper named Strong Constraint Self-training (SCS) considers the CNN classifier as a unit and ignores the detailed structure of the network. Initially, SCS uses a labeled dataset to train a base classifier. Secondly, the trained classifier to label unlabeled data and the data with pseudo labels join in the labeled dataset jointly train the next classifier. Lastly, the next classifier changes its role to be based classifier continues to train the next classifier. During this process, a threshold value is a gate to filtering the data with pseudo labels through the confidence coefficient that is given by the classifier. Furthermore, the value of the threshold decreasing as the process goes on. The key to this algorithm is to choose to transform learning to train a considerable base classifier. Extensive experiments are done in this paper. On a 50% ratio of AID training data and the NWPU-RESISC45 as an unlabeled dataset, the proposed algorithm achieves 96.01% on the rest of the AID data. On a 20% ratio of NWPU-RESISC45 data and the AID as an unlabeled dataset, this algorithm achieves 93.03% on the rest of NWPURESISC45 data.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132200717","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: 4

Analysis and Design of Inter-provincial Electricity Spot Market Model in China 中国跨省电力现货市场模型分析与设计

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362657

S. Dai, Zhi Cai, Qiang Li, Qiang Ding

{"title":"Analysis and Design of Inter-provincial Electricity Spot Market Model in China","authors":"S. Dai, Zhi Cai, Qiang Li, Qiang Ding","doi":"10.1109/ICPECA51329.2021.9362657","DOIUrl":"https://doi.org/10.1109/ICPECA51329.2021.9362657","url":null,"abstract":"China’s administration proposes to carry out reform by taking a province as a unit and gradually establish a market-oriented inter-provincial electricity trading mechanism. Since then, eight provincial spot market pilots have entered the phase of settlement trial operation, and electricity market reform has been widely carried out. On this basis, how to further build the inter-provincial electricity spot market and coordinate with the provincial markets is an important issue in the construction of electricity spot markets in China. Based on mainstream market models abroad, this paper analyzes the trans-regional trading models in Europe and the United States and their inspiration to China. Then it introduces the current situation of construction of a trans-regional electricity spot market in China and analyzes its existing problems. Based on this, combined with the actual situation of dispatching management and operation in China, it is pointed out that the spot market in China shall adopt the market model of “unified market and two-level operation” and adopt the market process of “inter-provincial before intra-provincial The benefits produced by this model are analyzed. The main market framework is designed from three aspects of market participants, trading timing and optimization process. Finally, the key technical requirements for building the inter-provincial electricity spot market in China are abstracted.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"219 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132474987","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: 3

Application of Ultrasonic Stress Measurement in the Evaluation of Bolt Fastening Force 超声应力测量在螺栓紧固力评定中的应用

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362538

Zhang Wuneng, L. Jingfeng

引用次数: 2

Underwater Image Enhancement Algorithm Based on Illuminance Domain Analysis 基于照度域分析的水下图像增强算法

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362646

Sun Bo, Wu Yanxiao, Xue Yawen, Yang Xiangguo

引用次数: 0

Prediction of Public Opinion Early Warning Level of Medical Dispute Cases Based on Ontology 基于本体的医疗纠纷案件舆情预警水平预测

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362715

Wenxuan Zhang, Junyu Ji, Yaguang Li, Xiaoyi Wang, Jie Liu

{"title":"Prediction of Public Opinion Early Warning Level of Medical Dispute Cases Based on Ontology","authors":"Wenxuan Zhang, Junyu Ji, Yaguang Li, Xiaoyi Wang, Jie Liu","doi":"10.1109/ICPECA51329.2021.9362715","DOIUrl":"https://doi.org/10.1109/ICPECA51329.2021.9362715","url":null,"abstract":"The court’s trial results of medical disputes are likely to attract social attention. How to effectively evaluate and predict public opinion is the focus of this paper. Combining the case description of medical dispute cases and the judgment results of the court, using natural language processing (NLP) technology, applying ontology knowledge to construct the medical dispute case ontology, based on ontology reasoning method to complete the case elements; then machine learning algorithms and ontology structure are combined to build predictive model of the public opinion warning level of dispute cases. Among them, the domain ontology structure is established for medical dispute cases, which enriches the semantic relationship between case elements, infers incomplete case elements through the definition of reasoning rules, and completes the case structure. Therefore, it has the ability to predict the public opinion warning level of medical dispute cases. It could help government agencies understand the views of the public, the positive and negative effects of the case, and enhance judicial credibility.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128937556","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 Transmission Line Control Strategy of AC-DC Hybrid System 交直流混合输电系统输电线路控制策略研究

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362604

Haotian Chang, Xiaobing Li, Weijie Zhong

{"title":"Research on Transmission Line Control Strategy of AC-DC Hybrid System","authors":"Haotian Chang, Xiaobing Li, Weijie Zhong","doi":"10.1109/ICPECA51329.2021.9362604","DOIUrl":"https://doi.org/10.1109/ICPECA51329.2021.9362604","url":null,"abstract":"The control system is the core of HVDC transmission system. How to improve the operation and control performance of the DC system, how to make full use of the unique advantages of DC control to improve the stability of the power grid, and how to coordinate various control elements in the hybrid system have always been the concerns of the power sector and the control sector. Based on the above background, this paper studies the control strategy of AC/DC hybrid transmission line. Based on the basic structure of hybrid AC/DC transmission, this paper analyzes the principle and mathematical modeling of conventional HVDC and flexible DC transmission technology, and then defines the basic control mode of conventional converter and flexible converter. It is further extended to the topology and control strategy of multi terminal system, and verified by simulation, which lays a theoretical foundation for the follow-up research. Based on the detailed circuit simulation model of HVDC transmission system, considering the relationship between converter transformer ratio and rectifier side trigger delay angle or inverter side turn off angle, the auxiliary controller of tap changer is designed. When the trigger delay angle or turn-off angle is out of limit and the out of limit time exceeds the specified time, the auxiliary control of tap shall be started to make it return to the specified operating range through step-by-step adjustment.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131070585","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

Single Image Super-resolution Model Based on Improved Sub-pixel Convolutional Neural Network 基于改进亚像素卷积神经网络的单幅图像超分辨率模型

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362548

Pengfei Jiang, Weiguo Lin, Wenqian Shang

引用次数: 3

Kinematics Analysis and Trajectory Planning of Robot Based on MATLAB 基于MATLAB的机器人运动学分析与轨迹规划

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/icpeca51329.2021.9362635

Wei Shen

引用次数: 1