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2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)最新文献

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Research on Seamless Switching Method between Grid and Island 网格与孤岛无缝切换方法研究
2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2021-04-14 DOI: 10.1109/IPEC51340.2021.9421202
Ma Jingkun, Yang Kaiqi, Chen Ziliang, Zhang Mingchao
{"title":"Research on Seamless Switching Method between Grid and Island","authors":"Ma Jingkun, Yang Kaiqi, Chen Ziliang, Zhang Mingchao","doi":"10.1109/IPEC51340.2021.9421202","DOIUrl":"https://doi.org/10.1109/IPEC51340.2021.9421202","url":null,"abstract":"The seamless switching control strategy between grid-connected microgrid and island operation mode is an important factor to ensure its safe and stable operation. The new master-slave control strategy and the peer-to-peer control strategy are combined to control the switching process of the grid-connected mode of the micro-grid to the island mode. A microgrid simulation model combining photovoltaic cells and batteries was built on the DigSILENT/PowerFactory platform to verify the correctness of the proposed control strategy and ensure the stability of the active, reactive, voltage and frequency of the microgrid.","PeriodicalId":340882,"journal":{"name":"2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126327474","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
Discriminant and Complementary Autoencoder Network for Multi-view Learning 多视图学习的判别和互补自编码器网络
2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2021-04-14 DOI: 10.1109/IPEC51340.2021.9421097
Fu Changqing, Zhang Han-mei
{"title":"Discriminant and Complementary Autoencoder Network for Multi-view Learning","authors":"Fu Changqing, Zhang Han-mei","doi":"10.1109/IPEC51340.2021.9421097","DOIUrl":"https://doi.org/10.1109/IPEC51340.2021.9421097","url":null,"abstract":"In real-world applications, objects can be sampled by different equipment or collected from different angles, which appears a significant and challenging problem for classifying samples from these heterogeneous views. Although effectiveness is achieved, most of the previous methods could not learn a discriminant and complementary representation simultaneously. Differently, in this paper, we propose a novel model termed Discriminant and Complementary Autoencoder Network (DCAEN), which integrates discriminant information between views into a compact representation by the variant of the traditional LDA-like framework. The proposed method has the following merits: (1) our model incorporates supervised information into the common representation subspace, i.e., maximize the between-class distance and minimize the within-class distance from the inter-view and intra-view. (2) our model performs view-specific representation and common representation in a unified framework. The proposed model is solved by the stochastic gradient descent (SGD) algorithm and its performance is far better than many state-of-the-art methods, demonstrating its superiority.","PeriodicalId":340882,"journal":{"name":"2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126393707","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
Fuzzy dynamic Markov model for Time Series Anomaly Detection 模糊动态马尔可夫模型用于时间序列异常检测
2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2021-04-14 DOI: 10.1109/IPEC51340.2021.9421340
Xudong Li, Tan Gao, Wen Chen
{"title":"Fuzzy dynamic Markov model for Time Series Anomaly Detection","authors":"Xudong Li, Tan Gao, Wen Chen","doi":"10.1109/IPEC51340.2021.9421340","DOIUrl":"https://doi.org/10.1109/IPEC51340.2021.9421340","url":null,"abstract":"Dynamic Markov model are commonly utilized in time series anomaly detections. The traditional dynamic Markov models define data state using equal width interval segmentations. However, the state definition method is too rigorous. In real applications, the data may vary in a certain range and it cannot always belong to a specific state. Therefore, we proposed a new fuzzy interval segmentation scheme, which dispatch each data into three neighbored fuzzy states to tolerate data variations. Furthermore, we also introduced model updating schemes to adapt to the new data series. The comparison results demonstrated that our method obviously reduced the false detection rate of time series data compared with the traditional dynamic Markov models.","PeriodicalId":340882,"journal":{"name":"2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125630188","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
Preliminary design of a new intelligent plant cultivation robot 一种新型智能植物栽培机器人的初步设计
2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2021-04-14 DOI: 10.1109/IPEC51340.2021.9421192
Jiang Zihan, Liu Lizhuang, Jiang Kaiyang, Shi Bingyu, Lei Mingyu
{"title":"Preliminary design of a new intelligent plant cultivation robot","authors":"Jiang Zihan, Liu Lizhuang, Jiang Kaiyang, Shi Bingyu, Lei Mingyu","doi":"10.1109/IPEC51340.2021.9421192","DOIUrl":"https://doi.org/10.1109/IPEC51340.2021.9421192","url":null,"abstract":"The traditional intelligent plant cultivation system has some defects, such as trouble in installation, limitation in use, and great influence by the number of plants. The new intelligent plant cultivation system is mainly composed of intelligent plant cultivation robots, but the existing intelligent plant cultivation robots are also faced with defects such as insufficient precision, too narrow applicable scenes, and not simple enough installation. In this paper, a new intelligent plant cultivation robot is designed to improve the above defects by combining with hardware such as lidar and depth camera","PeriodicalId":340882,"journal":{"name":"2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127908337","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
Analysis of the fit between architectural planning and design and human settlement environment based on Markov model 基于马尔可夫模型的建筑规划设计与人居环境契合度分析
2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2021-04-14 DOI: 10.1109/IPEC51340.2021.9421162
Xiaojuan Zhou
{"title":"Analysis of the fit between architectural planning and design and human settlement environment based on Markov model","authors":"Xiaojuan Zhou","doi":"10.1109/IPEC51340.2021.9421162","DOIUrl":"https://doi.org/10.1109/IPEC51340.2021.9421162","url":null,"abstract":"Residential buildings are people’s main living space. People’s economic ability and living standard are constantly improving, and their requirements for living environment are also constantly improving. Residential design and planning based on living environment must face the market, understand the needs of users, plan and design according to the local natural and cultural environment, ensure the integrity of indoor and outdoor functions, and promote sustainable development and meet the needs of residents’ living environment by combining the concept of energy conservation and environmental protection. Grey GM (1,1) model has a single method in planning and design due to its own limitations. In this paper, a prediction model, Grey Markov Model, is proposed, which combines the advantages of Grey Model and Markov Model to judge the development trend of buildings together, and verifies the feasibility of internal and external planning and design of residential buildings in human settlements through examples.","PeriodicalId":340882,"journal":{"name":"2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121772215","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
The Application of Computer Music Technology in Music Education 计算机音乐技术在音乐教育中的应用
2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2021-04-14 DOI: 10.1109/IPEC51340.2021.9421234
Jie Liu, Liang Liang
{"title":"The Application of Computer Music Technology in Music Education","authors":"Jie Liu, Liang Liang","doi":"10.1109/IPEC51340.2021.9421234","DOIUrl":"https://doi.org/10.1109/IPEC51340.2021.9421234","url":null,"abstract":"With the rapid development of Internet technology, computers are widely used in all walks of life, and among them, computer music technology has become one of the important tools in modern music education. Analysis of the traditional music teaching mode can be found, most of the time is limited to the teacher performance, student imitation, however, for the new era of music education, the combination of computer technology and music knowledge has brought great convenience for the development of music education, not only enrich the content of music teaching, but also make some abstract music theory knowledge become more vivid image, more to a certain extent, broaden the students’ musical horizons, this, in the actual music teaching teachers should pay great attention to. This paper has done an in-depth study on this, firstly introducing the characteristics of computer music technology, analyzing the advantages of computer music technology in music education, and then discussing the practical application of computer music technology in music education with the actual situation.","PeriodicalId":340882,"journal":{"name":"2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"356 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115936919","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
The Monitoring and Early Warning System of Geological Disaster Mass Survey and Prevention in Linzhi 临芝市地质灾害普查与防治监测预警系统
2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2021-04-14 DOI: 10.1109/IPEC51340.2021.9421179
X. Tao, Jinbao Liu, Gongyan Chen, B. Xiao, Jun Chen, Zengwu Wang, Liang Yu, Y. Chu
{"title":"The Monitoring and Early Warning System of Geological Disaster Mass Survey and Prevention in Linzhi","authors":"X. Tao, Jinbao Liu, Gongyan Chen, B. Xiao, Jun Chen, Zengwu Wang, Liang Yu, Y. Chu","doi":"10.1109/IPEC51340.2021.9421179","DOIUrl":"https://doi.org/10.1109/IPEC51340.2021.9421179","url":null,"abstract":"Based on Beidou satellite navigation and communication technology, this paper develops a monitoring and early warning system for geological disaster mass survey and prevention, aiming at the problems of great harminess and difficulty in monitoring geological disasters in Linzhi. The whole system is constructed using B/S architecture. The server is developed by Asp.Net language, the client is developed by HTML5, CSS, JavaScript and other technologies. The data transmission between the client and server is realized by Ajax technology. The client includes two parts: web-end and app-end, which are respectively developed by layui and uniapp framework. The app-end determines the disaster location and reports the scene pictures based on the Beidou satellite navigation technology (BDS), and then transmits the collected disaster data to the platform with the help of the 4G or 5G network. The administrator pushes the reviewed disaster information to the public through the audit and intelligent analysis of the disaster data. This system has been tested in Linzhi, and the results show the system can effectively assist the mass survey and prevention work.","PeriodicalId":340882,"journal":{"name":"2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131981841","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 and Application of Intelligent Terminal Network Performance and Problem Location Method Based on User Perception 基于用户感知的智能终端网络性能及问题定位方法研究与应用
2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2021-04-14 DOI: 10.1109/IPEC51340.2021.9421132
Chunji Hao, Yi Zhou
{"title":"Research and Application of Intelligent Terminal Network Performance and Problem Location Method Based on User Perception","authors":"Chunji Hao, Yi Zhou","doi":"10.1109/IPEC51340.2021.9421132","DOIUrl":"https://doi.org/10.1109/IPEC51340.2021.9421132","url":null,"abstract":"With the rapid development of mobile Internet services, how to evaluate and enhance user perception is an urgent problem to be solved. Nowadays, smart phones have been popularized in an all-round way, but the traditional wireless network optimization lacks the link of optimization for user terminals. Based on user perception, this paper puts forward a packet capture analysis technology on the terminal, which can realize the linkage analysis of terminal wireless signaling and signaling. Through one-click repair technology, the self-adaptation of expert solution library, system solution library, internet repair library and driver library on the background server side with intelligent terminal is realized, and the one-click repair of the interaction between terminal and network is completed. The flat design can flexibly expand the data type of call ticket to meet different business requirements.","PeriodicalId":340882,"journal":{"name":"2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132037993","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 Rapid Dehazing Model in USV Imaging System based on End-to-End Convolutional Network 基于端到端卷积网络的USV成像系统快速去雾模型
2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2021-04-14 DOI: 10.1109/IPEC51340.2021.9421335
Sheng Zhang, Tianxiao Cai, Wenbo Yang
{"title":"A Rapid Dehazing Model in USV Imaging System based on End-to-End Convolutional Network","authors":"Sheng Zhang, Tianxiao Cai, Wenbo Yang","doi":"10.1109/IPEC51340.2021.9421335","DOIUrl":"https://doi.org/10.1109/IPEC51340.2021.9421335","url":null,"abstract":"Due to the inclement weather at sea, the pictures collected by USV will always be affected by fog, degrading in quality. In order to improve the quality of images collected by USV, convolutional neural networks (CNN) are widely used in image defogging. In this article, we proposed a CNN-based end-to-end defogging neural network, using dense connection blocks and the attention mechanism to obtain image information. Since convolutional neural networks have the advantages of local perception and parameter sharing, we have changed the traditional apriori method for atmospheric scattering models. We use multi-scale learning to capture image information and use the attention mechanism to suppress some irrelevant details. Experiments have shown that our method has a good effect on USV image dehazing problem.","PeriodicalId":340882,"journal":{"name":"2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"165 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133933803","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
Wavelet Network Network Diagnosis Method for Soft Fault in Analog Circuit 模拟电路软故障的小波网络诊断方法
2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2021-04-14 DOI: 10.1109/IPEC51340.2021.9421270
Yuan He, Xiaowei Zhao, Honghong Zhang, Xusheng Gan
{"title":"Wavelet Network Network Diagnosis Method for Soft Fault in Analog Circuit","authors":"Yuan He, Xiaowei Zhao, Honghong Zhang, Xusheng Gan","doi":"10.1109/IPEC51340.2021.9421270","DOIUrl":"https://doi.org/10.1109/IPEC51340.2021.9421270","url":null,"abstract":"In order to raise the diagnosis ability for soft fault of analog circuits, a diagnosis method using Wavelet Neural Network (WNN) is proposed for handling the soft faults. According to the designed fault diagnosis flow of the analog circuit, WNN diagnosis model is constructed for soft fault. Simulation of Sallen-key filter shows that the proposed method has high diagnosis accuracy and is effective and feasible for diagnosing the soft fault in analog circuits.","PeriodicalId":340882,"journal":{"name":"2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125213811","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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