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

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Remaining Useful Life Prediction Method for MOSFET Based on Time Series Model 基于时间序列模型的MOSFET剩余使用寿命预测方法
2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2021-04-14 DOI: 10.1109/IPEC51340.2021.9421316
Junkang Ni, C. Zhang, Xiaobin Zhang, T. Lei
{"title":"Remaining Useful Life Prediction Method for MOSFET Based on Time Series Model","authors":"Junkang Ni, C. Zhang, Xiaobin Zhang, T. Lei","doi":"10.1109/IPEC51340.2021.9421316","DOIUrl":"https://doi.org/10.1109/IPEC51340.2021.9421316","url":null,"abstract":"This paper presents a remaining useful life prediction method for MOSFET based on time series model. First, the degradation data of MOSFET is acquired from mathematical model. Next, correlation test is conducted to determine difference order of time-series model and Akaike information criterion (AIC) is used to determine the order of autocorrelation model and moving average model, thereby determining the parameters of time series model. Then, short-term cycle prediction is added to improve prediction accuracy and reduce accumulated error. Finally, the effectiveness of the developed life prediction model is verified using Matlab/Simulink.","PeriodicalId":340882,"journal":{"name":"2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"426 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":"122866630","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
Distributed Air Conditioning Load Optimal Allocation Method Based on Consensus Algorithm and Considering Residents' Comfort 基于共识算法并考虑居民舒适度的分布式空调负荷优化分配方法
2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2021-04-14 DOI: 10.1109/IPEC51340.2021.9421068
Yanmin Zhou, Yuqing Bao
{"title":"Distributed Air Conditioning Load Optimal Allocation Method Based on Consensus Algorithm and Considering Residents' Comfort","authors":"Yanmin Zhou, Yuqing Bao","doi":"10.1109/IPEC51340.2021.9421068","DOIUrl":"https://doi.org/10.1109/IPEC51340.2021.9421068","url":null,"abstract":"Due to the large proportion of air-conditioning load in the electrical load, it has great potential in absorbing renewable energy and smoothing power fluctuations. However, its massive and dispersed characteristics are a major problem in its regulation. Aiming at the characteristics of air-conditioning load dispersion and difficulty in concentration, this paper proposes a distributed control strategy based on multi-agent system consistency algorithm. The strategy is based on the cost function model established by the user's comfort, and the incremental cost is used as the consistency variable to achieve the optimal allocation of air conditioning load power. The simulation results verify the effectiveness of the control method.","PeriodicalId":340882,"journal":{"name":"2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"14 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":"122897817","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
Lane Detection Algorithm Based on Haar Feature Based Coupled Cascade Classifier 基于Haar特征耦合级联分类器的车道检测算法
2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2021-04-14 DOI: 10.1109/IPEC51340.2021.9421278
Hongyu Zhou, Xuanzhang Song
{"title":"Lane Detection Algorithm Based on Haar Feature Based Coupled Cascade Classifier","authors":"Hongyu Zhou, Xuanzhang Song","doi":"10.1109/IPEC51340.2021.9421278","DOIUrl":"https://doi.org/10.1109/IPEC51340.2021.9421278","url":null,"abstract":"To improve the accuracy of lane detection in complex environment, The lane detection algorithm based on Haar feature coupled cascade classifier was proposed. The input image was scaled, and the Regions of Interest (ROI) was extracted according to the position of the vanishing line. The Haar feature of the lane was extracted from the ROI, and a cascade Lane classifier was introduced to roughly detect the lane in the ROI. The line segment detector (LSD) method was used to fit roughly detected lanes. The growth strategy and geometric checking were combined to optimize fitting results and complete target detection. The tests were conducted on multiple datasets, and results show compared with current lane detection methods, the proposed algorithm has higher robustness and accuracy, which was up to 96.5%.","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":"122579069","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
The Multi-micronet Integrated Energy System Based on Multi-target Algorithm optimizes the Scheduling Strategy 基于多目标算法的多微网综合能源系统优化调度策略
2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2021-04-14 DOI: 10.1109/IPEC51340.2021.9421226
Zhang Jie, Bowei Xiao
{"title":"The Multi-micronet Integrated Energy System Based on Multi-target Algorithm optimizes the Scheduling Strategy","authors":"Zhang Jie, Bowei Xiao","doi":"10.1109/IPEC51340.2021.9421226","DOIUrl":"https://doi.org/10.1109/IPEC51340.2021.9421226","url":null,"abstract":"With the development of integrated energy system, there are often multiple integrated energy micro networks in the same region, forming an integrated energy system with multiple micro networks. The investment cost and operating cost of system units are often considered by the existing integrated energy system of multiple micro nets, but the problem of environmental pollution is not considered by the integrated energy system of multiple micro nets. Therefore, in order to solve the problem of environmental pollution of diversity micro network integrated energy system and consider the cost of system units, model the integrated energy system of gas turbines, electric chillers and other units respectively and establish the constraints of the system, and then optimize the solution through the particle group algorithm. Finally, through the analysis of the results of the study, in the integrated energy system of multiple micro networks, economic and environmental problems are taken into account at the same time, so that the integrated energy system of multiple micro networks has been improved.","PeriodicalId":340882,"journal":{"name":"2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"8 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":"114462135","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
Python Based Data Visualization and Configurable Teaching System Design and Implementation 基于Python的数据可视化与可配置教学系统设计与实现
2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2021-04-14 DOI: 10.1109/IPEC51340.2021.9421127
Junfang Zhang
{"title":"Python Based Data Visualization and Configurable Teaching System Design and Implementation","authors":"Junfang Zhang","doi":"10.1109/IPEC51340.2021.9421127","DOIUrl":"https://doi.org/10.1109/IPEC51340.2021.9421127","url":null,"abstract":"This paper designs and implements a configurable teaching system for data visualization through Python, builds a visualization and analysis framework for hybrid teaching data combining the general process of data visualization, discusses the implementation process and mechanism of hybrid teaching data visualization from two dimensions of timeliness and media form, introduces numerical, textual, and hybrid numerical and textual data visualization processing methods, and discusses the visualization results are explored for interactive presentation processes. The experimental class that integrates the application of data visualization results achieves better pedagogical results than the reference class that does not apply data visualization results. The experiment validated the effectiveness of the application of data visualization in blended instruction. This study also gives suggestions for optimizing the application strategy of data visualization technology in blended teaching, in the hope that it can provide a reference for the implementation of the data-driven precision teaching process.","PeriodicalId":340882,"journal":{"name":"2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"12 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":"117015683","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
Recognition of the standardization of wearing masks during the epidemic of COVID-19 对新冠肺炎疫情期间口罩佩戴标准化的认识
2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2021-04-14 DOI: 10.1109/IPEC51340.2021.9421236
Mufan Yu, Shanshan Zou, A. Jia, Xiangzhang Cheng
{"title":"Recognition of the standardization of wearing masks during the epidemic of COVID-19","authors":"Mufan Yu, Shanshan Zou, A. Jia, Xiangzhang Cheng","doi":"10.1109/IPEC51340.2021.9421236","DOIUrl":"https://doi.org/10.1109/IPEC51340.2021.9421236","url":null,"abstract":"In face of COVID-19, it is very important to wear masks in public. In this article, we use a kind of improved convolutional neural network algorithm DFS (detection with feature fusion and segmentation supervision) for face detection, and YCrCb elliptic skin color model is used for mask recognition. We expect to better supervise the standardization of people wearing masks, through the application of this project in public places such as public transport. With the applying of this project, the risk of human infection can be reduced, so as to better prevent and control the epidemic.","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":"128785283","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
Application of Image Recognition Technology Based on Artificial Intelligence in Operation Control of Production Domain 基于人工智能的图像识别技术在生产领域运行控制中的应用
2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2021-04-14 DOI: 10.1109/IPEC51340.2021.9421105
Sun Rongrong, Li Qing, Song Xin, Ning Baifeng, Luo Yulin
{"title":"Application of Image Recognition Technology Based on Artificial Intelligence in Operation Control of Production Domain","authors":"Sun Rongrong, Li Qing, Song Xin, Ning Baifeng, Luo Yulin","doi":"10.1109/IPEC51340.2021.9421105","DOIUrl":"https://doi.org/10.1109/IPEC51340.2021.9421105","url":null,"abstract":"The application of image processing technology and intelligent recognition technology in power equipment image recognition and analysis is a new method to monitor the operation status of power equipment. Especially in the high voltage, dangerous and harsh environment, it can obtain the operation status of power equipment in real time. At the same time, this method can reduce the workload of dispatchers and improve the automation degree of on-line monitoring. In this paper, a set of image processing and recognition methods for fault detection are proposed, in which the maximum inter class variance method selection threshold, sequential similarity method identification, frame difference method judgment and other methods are used for on-line monitoring of power equipment, which replaces the traditional manual inspection and improves the efficiency. The experimental results show that this image recognition method integrates the advantages of various technologies, and the processing results are more accurate.","PeriodicalId":340882,"journal":{"name":"2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"32 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":"128436579","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
LTE-R Communication System Safety Performance Analysis Based on Cloud Theory and Combined Weighting 基于云理论和组合加权的LTE-R通信系统安全性能分析
2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2021-04-14 DOI: 10.1109/IPEC51340.2021.9421086
Jianjun Wu, Ying Huang
{"title":"LTE-R Communication System Safety Performance Analysis Based on Cloud Theory and Combined Weighting","authors":"Jianjun Wu, Ying Huang","doi":"10.1109/IPEC51340.2021.9421086","DOIUrl":"https://doi.org/10.1109/IPEC51340.2021.9421086","url":null,"abstract":"To solve the problem of single evaluation method of LTE-R communication system safety performance, a cloud theory and combined weighting method was proposed. Firstly, the index system of LTE-Railway (LTE-R) communication system was established. Secondly, combining with the dynamic weighting method, the subjective & objective weighting values of the evaluation system calculated by 3-scale AHP and CRITIC were fused. Thirdly, by determining the cloud digital characteristics of the comprehensive cloud theory, the cloud evaluation system was established, and then the cloud parameters of each layer of the evaluation system were calculated from bottom to top by the reverse cloud theory. An example showed that the method was feasible and effective.","PeriodicalId":340882,"journal":{"name":"2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"43 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":"128668999","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 Short Video Recommendation Algorithm Based on Latent Factor Model 基于潜在因素模型的短视频推荐算法的设计与实现
2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2021-04-14 DOI: 10.1109/IPEC51340.2021.9421151
Xinyue Huang, Deqiang Shi, Linge Wang
{"title":"Design and Implementation of Short Video Recommendation Algorithm Based on Latent Factor Model","authors":"Xinyue Huang, Deqiang Shi, Linge Wang","doi":"10.1109/IPEC51340.2021.9421151","DOIUrl":"https://doi.org/10.1109/IPEC51340.2021.9421151","url":null,"abstract":"With the continuous Internet development, network information amount has increased significantly. In this way, users faced with extensive network information cannot quickly find information that meets their needs, leading to decreased efficiency in network information usage. Accordingly, personalized recommendation system should be an important part of the electronic platform system as recommendation efficiency directly affects the user experience and the use of electronic platforms. In recent years, the data of electronic platforms presents a trend of massive growth, resulting in decreased accuracy in system recommendations, increased errors, and decreased efficiency. Therefore, it is particularly necessary to study and analyze personalized recommendation algorithms. Based on the research and application of latent factor model in short video recommendation algorithm, this paper aims to recommend users with video content that truly meets user needs and interests.","PeriodicalId":340882,"journal":{"name":"2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"66 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":"128998562","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 Realization of Monitoring and Management System of Large-Scale Watercraft 大型船舶监测管理系统的设计与实现
2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2021-04-14 DOI: 10.1109/IPEC51340.2021.9421183
Yu Hongbin, X. Jiren, L. Ziqiang, Wu Dongsheng, Z. Xiaolan
{"title":"Design and Realization of Monitoring and Management System of Large-Scale Watercraft","authors":"Yu Hongbin, X. Jiren, L. Ziqiang, Wu Dongsheng, Z. Xiaolan","doi":"10.1109/IPEC51340.2021.9421183","DOIUrl":"https://doi.org/10.1109/IPEC51340.2021.9421183","url":null,"abstract":"Monitoring and management system of large-sized watercraft is a non-linear complex system with many parameter. Monitoring and management system of large-sized watercraft based on networks is different from other conventional system, its basic idea is: at first large-sized watercraft is divdied into many multi-layer subsystem, computation of every rock-bottom system is finished by networks, and then give effect level of every factor, and then the effect level is taked as input value of the previous subsystem, after neural computation, and we can know evaluation of the previous subsystem of the subsystem, analogy according to this until we give evaluation of the large-sized watercraft. Experiment data and result is the same as the reslult the system give. Knowledge library of the system is easy to renew and maintain, and enhance self-learning ability of the system, and avoid the problem of “knowlegye explosion” in conventional expert system.","PeriodicalId":340882,"journal":{"name":"2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"16 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":"124724446","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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