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2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)最新文献

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Research and Application of 220kV Short-Circuit Current Limiting Measures Based on Fast Switch 基于快速开关的220kV短路限流措施研究与应用
2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2022-04-14 DOI: 10.1109/ipec54454.2022.9777440
Kui Ma
{"title":"Research and Application of 220kV Short-Circuit Current Limiting Measures Based on Fast Switch","authors":"Kui Ma","doi":"10.1109/ipec54454.2022.9777440","DOIUrl":"https://doi.org/10.1109/ipec54454.2022.9777440","url":null,"abstract":"With the continuous development of power grid capacity, the short-circuit current in local areas is too high, which seriously threatens the stable and safe operation of the system. The paper proposes a multi-break series connection high-voltage fast switching type fault current limiter, through the isolation transformer to operate the mechanism and the break isotropic, using \"one with two\" type electromagnetic repulsion mechanism, eliminating the insulated tie, not only to achieve rapid breaking and closing, but also to solve the fault current limiter using capacitive voltage transformer energy supply when the system is not charged with the problem of breaking and closing. Finally, a 220kV transmission line is selected for engineering application, and a single-phase artificial short-circuit test is conducted to verify the short-circuit current limiting capability of the fast-switching type short-circuit current limiter in the process of single-phase grounding of the line to ensure the feasibility and safety of the line circuit breaker action.","PeriodicalId":232563,"journal":{"name":"2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132180546","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
Discussions on the 3D models of the images of stripy flaw by X-ray examination 条纹缺陷x射线图像三维模型的探讨
2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2022-04-14 DOI: 10.1109/IPEC54454.2022.9777514
Song Huang, Xiaoyang Wu, Jie Chen, Yong Huang, Yongjun Qiu, Zhongguo Zhao
{"title":"Discussions on the 3D models of the images of stripy flaw by X-ray examination","authors":"Song Huang, Xiaoyang Wu, Jie Chen, Yong Huang, Yongjun Qiu, Zhongguo Zhao","doi":"10.1109/IPEC54454.2022.9777514","DOIUrl":"https://doi.org/10.1109/IPEC54454.2022.9777514","url":null,"abstract":"In the process of judging the harmfulness of defects, the longitudinal depth of defects is also a very important indicator. In order to accurately judge the situation of defects, this paper discussed the reconstructured 3D models of the images of stripy flaw by X-ray examination. According to the multiple different angles of 2D images, the principle of three-dimensional ray detection technology is reviewed. There are four steps of the 3D models reconstruction, acquisition of ray detection images at different positions, edge identification, reverse modeling and adjustment of model. Finally, A sample of the 3D reconstruction of stripy flaw was discussed.","PeriodicalId":232563,"journal":{"name":"2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"2010 25","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132678006","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
Siamese anchor-free network based on dual attention mechanism for visual tracking 基于双注意机制的Siamese无锚网络视觉跟踪
2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2022-04-14 DOI: 10.1109/IPEC54454.2022.9777624
Jie Cao, J. Kang, Bin Dai, Xiaoxu Li
{"title":"Siamese anchor-free network based on dual attention mechanism for visual tracking","authors":"Jie Cao, J. Kang, Bin Dai, Xiaoxu Li","doi":"10.1109/IPEC54454.2022.9777624","DOIUrl":"https://doi.org/10.1109/IPEC54454.2022.9777624","url":null,"abstract":"In order to improve the ability of extracting discriminant features and add valid location information, a new Siamese anchor-free network based on dual attention mechanism is proposed—DASN. The method introduces the coordinate channel attention module and the spatial attention module to get the context features that contain the precise location information of the target. DASN can enhance the feature extraction by modeling the dependency between channels and positions, thus achieve the improvement of the accuracy of classification and locating and the robustness of tracking. Experimental results show that the proposed method achieves the performance improvement on datasets VOT2018, OTB-2013 and OTB-2015, and also meets the real-time requirements.","PeriodicalId":232563,"journal":{"name":"2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133224232","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
Abnormal Heart Sound Detection by Using Temporal Convolutional Network 基于时间卷积网络的异常心音检测
2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2022-04-14 DOI: 10.1109/IPEC54454.2022.9777476
Keqi Liu, Lei Yuan, Cheng-Tao Huang, Wenyuan Wu, Qiangwei Wang, Gang Wu
{"title":"Abnormal Heart Sound Detection by Using Temporal Convolutional Network","authors":"Keqi Liu, Lei Yuan, Cheng-Tao Huang, Wenyuan Wu, Qiangwei Wang, Gang Wu","doi":"10.1109/IPEC54454.2022.9777476","DOIUrl":"https://doi.org/10.1109/IPEC54454.2022.9777476","url":null,"abstract":"Abnormal heart sound detection is great of significance because of the frequent occurrence of heart diseases. However, the automatic diagnosis for abnormal heart sound has a high requirement for domain knowledge and the signal noise poses an increased difficulty of diagnosis. In this paper, we propose a temporal convolutional network (TCN) to automatically detect abnormal heart sounds. Specifically, a noise removing technology is applied to original signals. Then, a TCN architecture is carefully designed to adapt the properties of heartbeat sound. The proposed method is tested on the Physionet dataset, and the results show our method contains potential ability in abnormal heart sound detection.","PeriodicalId":232563,"journal":{"name":"2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131401120","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: 2
Research on Computer Big Data Model Based on Deep Volume Learning Algorithm 基于深度体积学习算法的计算机大数据模型研究
2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2022-04-14 DOI: 10.1109/ipec54454.2022.9777469
Yusong Du, Qi Li, Jiashuai Yin, Yuqing Du
{"title":"Research on Computer Big Data Model Based on Deep Volume Learning Algorithm","authors":"Yusong Du, Qi Li, Jiashuai Yin, Yuqing Du","doi":"10.1109/ipec54454.2022.9777469","DOIUrl":"https://doi.org/10.1109/ipec54454.2022.9777469","url":null,"abstract":"With the rapid development of information and communication technology, the amount of global data is increasing explosively. How to effectively analyze massive and complex data, mine and realize its potential value and make rational use of it is one of the important topics at present. An incomplete big data filling algorithm based on deep learning is proposed. Firstly, the filling automatic coder is established based on the automatic coder. On this basis, the depth filling network model is constructed, the depth characteristics of incomplete big data are analyzed, and the network parameters are calculated according to the layer by layer training idea and back propagation algorithm The target detection algorithm based on deep learning is far ahead of the traditional target detection algorithm in detection accuracy. Relying on big data to automatically learn and extract features, the effect is far better than that of manually designed features. Although big data has brought great potential to many fields such as industry, education and health care, it is a very arduous task to obtain valuable knowledge from big data. Learning the characteristics of big data and mining the information hidden in big data requires both advanced technology and interdisciplinary cooperation. Based on the deep convolution NN model of deep learning algorithm, the proposed field of computer vision has made remarkable achievements in recognition ability. This paper mainly discusses the application of deep convolution NN in computer vision.","PeriodicalId":232563,"journal":{"name":"2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"177 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131407045","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 3D Interactive Landscape Roaming Algorithm Based on Deep Learning Technology 基于深度学习技术的三维交互式景观漫游算法设计
2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2022-04-14 DOI: 10.1109/IPEC54454.2022.9777396
J. Fan
{"title":"Design of 3D Interactive Landscape Roaming Algorithm Based on Deep Learning Technology","authors":"J. Fan","doi":"10.1109/IPEC54454.2022.9777396","DOIUrl":"https://doi.org/10.1109/IPEC54454.2022.9777396","url":null,"abstract":"The algorithm design for 3D interactive landscape roaming has been paid more and more attention, landscape design requires a large number of design drawings, renderings and animated roaming to express the designer's design intention. At present, with the continuous improvement and development of algorithm, the application of 3D interactive technology for landscape design has made a major breakthrough. The design of 3D interactive landscape roaming algorithm can better produce 3D effect drawings and dynamic simulation of the landscape design, so as to achieve the fulfillment of the industry.","PeriodicalId":232563,"journal":{"name":"2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124128339","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 Application of Computer Big Data Technology in the Health Monitoring of the Bridge Body of Cross-river Bridge 计算机大数据技术在跨河大桥桥身健康监测中的应用研究
2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2022-04-14 DOI: 10.1109/ipec54454.2022.9777364
Di Yang, Lianfa Wang, Yufeng Zhang
{"title":"Research on the Application of Computer Big Data Technology in the Health Monitoring of the Bridge Body of Cross-river Bridge","authors":"Di Yang, Lianfa Wang, Yufeng Zhang","doi":"10.1109/ipec54454.2022.9777364","DOIUrl":"https://doi.org/10.1109/ipec54454.2022.9777364","url":null,"abstract":"This article proposes a health monitoring system platform for cross-river bridges based on big data. The system can realize regionalized bridge operation and maintenance management. The system has functions such as registration modification and deletion of sensor equipment, user registration modification and deletion, real-time display and storage of sensor monitoring data, and evaluation and early warning of bridge structure safety. The sensor is connected to the lower computer through the serial port, analog signal, fiber grating signal, etc. The lower computer converts a variety of signals into digital signals through the single-chip A/D sampling and demodulator, etc., and transmits it to the upper computer through the serial port. The upper computer uses ARMCortex-A9 Run the main program to realize multi-threaded network communication. The system platform is to test the validity of the model, and a variety of model verification methods are used for evaluation to ensure the reliability of the big data analysis method.","PeriodicalId":232563,"journal":{"name":"2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"181 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114426704","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 Optimizing Configuration of Precise Functional Modules for UAV Products Based on Users' Personalized Needs under Big Data 大数据下基于用户个性化需求的无人机产品精准功能模块优化配置研究
2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2022-04-14 DOI: 10.1109/IPEC54454.2022.9777453
Yingjie Li, Han Liu, Z. Ren, Jiahuan Li, Bingfang Li
{"title":"Study on Optimizing Configuration of Precise Functional Modules for UAV Products Based on Users' Personalized Needs under Big Data","authors":"Yingjie Li, Han Liu, Z. Ren, Jiahuan Li, Bingfang Li","doi":"10.1109/IPEC54454.2022.9777453","DOIUrl":"https://doi.org/10.1109/IPEC54454.2022.9777453","url":null,"abstract":"This paper focuses on optimization of the precise configuration of functional modules. Customers usually face difficulties in explaining their personalized requirements clearly as they are lack of professional knowledge. Under the environment of big data, this paper resolves this issue by analyzing the numerous real operating data in order to gain the authentic user needs which may not be discovered in customer investigation. By using fuzzy c-means clustering method to divide the users’ expected functions and performance, the classification of user’s personalized demand can be obtained. The weights of each category of users are then calculated. Finally, the appropriate functional modules that can meet the customer needs well can be acquired. An example of UVA product is also indicated in this paper to prove the effectiveness and efficiency of the proposed model.","PeriodicalId":232563,"journal":{"name":"2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122179817","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
Multi-objective Coordinated Optimal Scheduling of Virtual Power Plants Based on Demand Side Response 基于需求侧响应的虚拟电厂多目标协调优化调度
2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2022-04-14 DOI: 10.1109/ipec54454.2022.9777455
Z. Mei, Xubin Jiang, Kun Wang
{"title":"Multi-objective Coordinated Optimal Scheduling of Virtual Power Plants Based on Demand Side Response","authors":"Z. Mei, Xubin Jiang, Kun Wang","doi":"10.1109/ipec54454.2022.9777455","DOIUrl":"https://doi.org/10.1109/ipec54454.2022.9777455","url":null,"abstract":"The large-scale access of distributed new energy sources and the large number of grid connections of diversified flexible resources on the user side make the power system facing unprecedented tests. In order to ensure the safety, stability and economic and efficient operation of the power grid, various flexible resources need to be optimally scheduled and coordinated. In this paper, a multi-objective coordinated optimal scheduling method for virtual power plants based on demand side response is proposed, which aims to solve the dual uncertainty of source and load and realize the unified scheduling of source and load resources in a wide area. Firstly, the energy storage system, the flexible load, the electric vehicle and the distributed new energy are aggregated into a virtual power plant, and the virtual power plant as a whole participates in the unified scheduling of the power grid. Then, a multi-objective optimal scheduling model considering the peak load regulation capacity, operation cost and compensation revenue of users is established. Based on the model, the operation mode of various resources is optimized, and the power grid peak shaving capacity and new energy consumption capacity are greatly improved. An actual system in a certain area is used for testing, and the test results of an example verify the correctness and effectiveness of the model and method in this paper.","PeriodicalId":232563,"journal":{"name":"2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122182625","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 and Implementation of an Auxiliary Software Platform for Prediction of Coal Shipping Price Index 煤炭运价指数预测辅助软件平台的设计与实现
2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2022-04-14 DOI: 10.1109/IPEC54454.2022.9777413
Zhaohui Li, F. Yang, Yujin Huang, Haolin Li
{"title":"Design and Implementation of an Auxiliary Software Platform for Prediction of Coal Shipping Price Index","authors":"Zhaohui Li, F. Yang, Yujin Huang, Haolin Li","doi":"10.1109/IPEC54454.2022.9777413","DOIUrl":"https://doi.org/10.1109/IPEC54454.2022.9777413","url":null,"abstract":"This paper examines the index calculation model and illustrates the technology used to determine the price of coal for coastal shipping. The software hierarchy design of the shipping price index forecast and analysis system is carried out using the MVC model. Additionally, the software’s function module is designed. Echarts technology enables data visualization, and the data cache mechanism alleviates server load during data retrieval. Additionally, the system is created and implemented. It enables the use of more representative sample routes when compiling freight indexes, as well as index prediction, analysis, and report document generation.","PeriodicalId":232563,"journal":{"name":"2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117189378","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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