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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 the System Architecture of People-oriented Smart Community 以人为本的智慧社区系统架构研究
2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2021-04-14 DOI: 10.1109/IPEC51340.2021.9421153
Hanyan Huang
{"title":"Research on the System Architecture of People-oriented Smart Community","authors":"Hanyan Huang","doi":"10.1109/IPEC51340.2021.9421153","DOIUrl":"https://doi.org/10.1109/IPEC51340.2021.9421153","url":null,"abstract":"On the basis of combing the existing concept and practice of smart community, this study puts forward the concept construction of people-oriented smart community, and discusses its model, structure and connotation. The aim is to realize the intelligentization of community planning, management and service by means of the new generation information technology such as Internet of Things, cloud computing and mobile Internet, and to form an efficient, sustainable and cohesive community and improve the quality of life of residents through innovative means.","PeriodicalId":340882,"journal":{"name":"2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"103 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":"115143145","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
Research on Integer Ambiguity Algorithm of GNSS under Different Monitoring Modes 不同监测模式下GNSS整数模糊度算法研究
2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2021-04-14 DOI: 10.1109/IPEC51340.2021.9421187
Lang Rao, Qing An
{"title":"Research on Integer Ambiguity Algorithm of GNSS under Different Monitoring Modes","authors":"Lang Rao, Qing An","doi":"10.1109/IPEC51340.2021.9421187","DOIUrl":"https://doi.org/10.1109/IPEC51340.2021.9421187","url":null,"abstract":"According to the different requirements of GNSS deformation monitoring in terms of time and accuracy, based on the traditional periodic repeated monitoring mode, two GNSS monitoring modes, fixed continuous monitoring mode and real-time dynamic monitoring mode, are adopted, and the corresponding double difference integer ambiguity processing algorithm is mainly studied, so as to form a GNSS model to meet the monitoring requirements of different accuracy levels and time resolution, and through the analysis of examples to verify the correctness of the two methods.","PeriodicalId":340882,"journal":{"name":"2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"69 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":"115289660","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
Health Indicator by CAE Feature Extractor CAE特征提取器提供的运行状况指示器
2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2021-04-14 DOI: 10.1109/IPEC51340.2021.9421283
Jinyi Li, Linxuan Zhang
{"title":"Health Indicator by CAE Feature Extractor","authors":"Jinyi Li, Linxuan Zhang","doi":"10.1109/IPEC51340.2021.9421283","DOIUrl":"https://doi.org/10.1109/IPEC51340.2021.9421283","url":null,"abstract":"In the field of PHM (Prognostic and Health Management), HI (Health Indicator) play a very important pole. It can not only reflect the health status of the machine in real time, but also provide some help for RUL (Remaining Useful Life) prediction. At present, HI are often constructed by statistical methods, which require a certain amount of expert experience and cannot mine deep features in the signal. Therefore, this paper uses an unsupervised method, CAE (Convolutional Autoencoder), to extract the deep features in the signal. Then, use the criteria of the monotonicity, trend, autocorrelation to perform feature sorting and feature selection, and input the selected features into FC (the Fully Connected neural network) for regression training, after which HI can be got. The experimental results show that, compared with traditionally statistical features, the deep features extracted by CAE can construct better HI.","PeriodicalId":340882,"journal":{"name":"2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"39 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":"115637456","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
Communication Design in a System 系统中的通信设计
2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2021-04-14 DOI: 10.1109/IPEC51340.2021.9421094
Lixia Guo, Guoyan Zhang, H. Xing
{"title":"Communication Design in a System","authors":"Lixia Guo, Guoyan Zhang, H. Xing","doi":"10.1109/IPEC51340.2021.9421094","DOIUrl":"https://doi.org/10.1109/IPEC51340.2021.9421094","url":null,"abstract":"Taking a system as an example, in this paper, the operating principle of the communication system in a certain system was introduce, on the basis of the analysis of the characteristics and difficulties of the communication system in the fire control system, the dual DSP architecture system solution which takes high-speed digital processing chip TMS320LF28335 as the main body was proposed, furthermore, the system hardware design and software flow were given, the system task allocation to the two DSP control units and their peripheral interfaces were discussed in detail, and the cooperative work process of two DSP control units in a communication system was analyzed. Finally, the results of the system principle prototype after bench test were given in this paper, the test results show that the performance and working condition control of the system meet the design requirements.","PeriodicalId":340882,"journal":{"name":"2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"99 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":"115670132","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 Facial Expression Recognition Based on Attention Mechanism 基于注意机制的面部表情识别研究与应用
2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2021-04-14 DOI: 10.1109/IPEC51340.2021.9421081
Xin Zhang, Zhuang Chen, Qingjie Wei
{"title":"Research and Application of Facial Expression Recognition Based on Attention Mechanism","authors":"Xin Zhang, Zhuang Chen, Qingjie Wei","doi":"10.1109/IPEC51340.2021.9421081","DOIUrl":"https://doi.org/10.1109/IPEC51340.2021.9421081","url":null,"abstract":"The scale of the existing convolutional neural network is getting larger and larger, resulting in too large amounts of parameters, and the structure is not light enough. Moreover, existing convolutional neural networks are difficult to recognize the subtle changes of facial expressions and cannot extract facial expression features accurately. Therefore, the performance of facial expression recognition needs to be improved. To solve the above problems, a new deep learning network model is proposed for facial expression recognition. Based on the deep residual network, the attention mechanism module (Convolutional Block Attention Module, CBAM) is added to the last layer of convolution and the first layer of convolution of the network. The spatial attention mechanism and channel attention mechanism are used to suppress the unimportant feature information and focus on the effective feature information. In the bottom layer, the influence of other factors is eliminated as much as possible, and more attention is paid to the extraction of facial expression features, which enriches the learning of facial expression features and improves the accuracy of facial expression recognition. The method proposed in this paper has been tested and verified on two public data sets FER2013 and CK+, and the results prove that the method has a high accuracy rate.","PeriodicalId":340882,"journal":{"name":"2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"52 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":"115735526","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
Complete Coverage Path Planning for Intelligent Sweeping Robot 智能扫地机器人全覆盖路径规划
2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2021-04-14 DOI: 10.1109/IPEC51340.2021.9421172
Bing Luo, Yu-Chao Huang, Fuqin Deng, Weike Li, Yongsuo Yan
{"title":"Complete Coverage Path Planning for Intelligent Sweeping Robot","authors":"Bing Luo, Yu-Chao Huang, Fuqin Deng, Weike Li, Yongsuo Yan","doi":"10.1109/IPEC51340.2021.9421172","DOIUrl":"https://doi.org/10.1109/IPEC51340.2021.9421172","url":null,"abstract":"As a universal optimization problem in automatic control, complete coverage path planning is one of the useful functions for intelligent sweeping robot, which makes sweeping robot complete sweeping more quickly and efficiently. Though conventional unit decomposition method has got solution, excessive decomposition for complex concave polygon environment and ignoring turning degrade the optimization effect. Considering the practical application of sweeping robot, improvements in three aspects are proposed that the cost function is added with the cost of turning, concave areas which can be combined planning with adjacent area are retained no decomposition, and global planning of unit path with transfer between units are considered by exhaustive search and ant colony algorithm, which can be applied to whole complex environment with better performance. Simulation experimental results show that the proposed approach can effectively reduce turning and total cost, make sweeping robot complete coverage more effectively.","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":"117166520","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: 5
An Empirical Study on Low Carbon Development Model of China's Energy Economy Based on Neural Networks 基于神经网络的中国能源经济低碳发展模型实证研究
2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2021-04-14 DOI: 10.1109/IPEC51340.2021.9421243
Kangli Xiang, Xianan Huang, Li Zhang
{"title":"An Empirical Study on Low Carbon Development Model of China's Energy Economy Based on Neural Networks","authors":"Kangli Xiang, Xianan Huang, Li Zhang","doi":"10.1109/IPEC51340.2021.9421243","DOIUrl":"https://doi.org/10.1109/IPEC51340.2021.9421243","url":null,"abstract":"This paper on the low-carbon development model at home and abroad is introduced, on the basis of further defined related concepts of low carbon development, and then on the basis of familiar with the related concepts, introduces the related carbon decomposition model, then the particle swarm optimization (pso) algorithm and BP neural network for the corresponding introduction, on the basis of related theory, multi-dimensional decomposition model of carbon productivity in our empirical study, analysis and comparison in compared with the base in different industries in various provinces the contribution values of different influence factors on the carbon productivity in our country.","PeriodicalId":340882,"journal":{"name":"2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"7 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120995664","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 Dispersive Objective Lens of Spectral Confocal Displacement Sensor 光谱共焦位移传感器色散物镜的设计
2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2021-04-14 DOI: 10.1109/IPEC51340.2021.9421116
Zhenhao Xie, Ruoxu Liu, Kuaisheng Zou, Jiankang Zhou
{"title":"Design of Dispersive Objective Lens of Spectral Confocal Displacement Sensor","authors":"Zhenhao Xie, Ruoxu Liu, Kuaisheng Zou, Jiankang Zhou","doi":"10.1109/IPEC51340.2021.9421116","DOIUrl":"https://doi.org/10.1109/IPEC51340.2021.9421116","url":null,"abstract":"According to the working principle of the spectral confocal displacement sensor, four kinds of glass materials SKIO, H-ZLAF52A, N-LAK34 and SFL6 for dispersive lens are selected. 4 single lenses and one doublet lens are components of the initial structure of the linear dispersion objective lens. Optical design software is used to optimize the tolerance of the initial structure of the dispersive objective lens. The results show that the spot diagram of each wavelength is much smaller than the Airy disk. in the wavelength range of 450-700nm, the measurement range of the dispersive objective lens can reach 3.454 mm, and the linear determination coefficient R2 between the axial dispersion diatance and the wavelength is 0.972.","PeriodicalId":340882,"journal":{"name":"2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"7 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":"125323383","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
Analysis and Design of Teaching Experiment System Based on Virtual Simulation Technology 基于虚拟仿真技术的教学实验系统分析与设计
2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2021-04-14 DOI: 10.1109/IPEC51340.2021.9421328
Jing Zhang
{"title":"Analysis and Design of Teaching Experiment System Based on Virtual Simulation Technology","authors":"Jing Zhang","doi":"10.1109/IPEC51340.2021.9421328","DOIUrl":"https://doi.org/10.1109/IPEC51340.2021.9421328","url":null,"abstract":"Based on Unity3D platform technology and combined with Firebase RealtimeDatabase database, this paper proposes a set of intelligent teaching experiment system based on virtual simulation technology. This paper analyzes and designs the core technology and system function of virtual simulation. The aim is to completely restore the process and solve various problems existing in the traditional way. It provides a favorable reference for improving teaching quality and building digital teaching platform.","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":"125668866","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 Fault Diagnosis Based on Virtual Prototype Technology of Mechanical System 基于虚拟样机技术的机械系统故障诊断研究
2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) Pub Date : 2021-04-14 DOI: 10.1109/IPEC51340.2021.9421140
Wen Chen, Zongde Lin
{"title":"Research on Fault Diagnosis Based on Virtual Prototype Technology of Mechanical System","authors":"Wen Chen, Zongde Lin","doi":"10.1109/IPEC51340.2021.9421140","DOIUrl":"https://doi.org/10.1109/IPEC51340.2021.9421140","url":null,"abstract":"The increasing complexity of the mechanical system makes it difficult for the corresponding physical prototype to diagnose and distinguish the faults. Therefore, the simulation research of virtual prototype is needed before the physical prototype experiment. Virtual prototype technology is a technology that uses computer technology, information technology and other technologies to carry out mathematical modeling of the corresponding mechanical system physical machine. This paper will take a mechanical system gearbox as the modeling object based on Virtual Prototype Technology for modeling analysis. Through the mathematical modeling of the gearbox, the typical fault features of the gearbox are extracted. Through the simulation of the actual working process of the gearbox, the corresponding load and constraints are imposed on the gearbox, and the corresponding collision parameters are selected to realize the dynamic simulation of the gearbox and observe its corresponding working conditions. Finally, the corresponding simulation results are applied to the actual work. The simulation results show that the virtual prototype technology is conducive to the early diagnosis and prevention of mechanical system faults, and has good industrial application value.","PeriodicalId":340882,"journal":{"name":"2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"39 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":"122847803","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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