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Design of real-time distributed data collection and analysis system 实时分布式数据采集与分析系统的设计
Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682274
Ting Zheng, Chuan He
{"title":"Design of real-time distributed data collection and analysis system","authors":"Ting Zheng, Chuan He","doi":"10.1117/12.2682274","DOIUrl":"https://doi.org/10.1117/12.2682274","url":null,"abstract":"Aiming at the requirements of data query, monitoring, analysis and display during system operation, a real-time distributed data collection and analysis system is designed. This paper first analyzes the processing process of data acquisition and analysis, on this basis, combined with the actual application requirements, minimizes the changes to the existing equipment environment, adds intelligent acquisition cards at the device interface for signal-level or business-level data collection, and adopts cloud/server technology and MQTT lightweight communication technology to visualize the system operation process, and supports on-demand subscription to ensure that problems in the process of system operation can be found in a timely and effective manner.","PeriodicalId":177416,"journal":{"name":"Conference on Electronic Information Engineering and Data Processing","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127011554","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 ink style image generation based on deep learning 基于深度学习的水墨风格图像生成研究
Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682550
Tianyi Zheng, Zhangqin Huang, Runmin Zhang
{"title":"Research on ink style image generation based on deep learning","authors":"Tianyi Zheng, Zhangqin Huang, Runmin Zhang","doi":"10.1117/12.2682550","DOIUrl":"https://doi.org/10.1117/12.2682550","url":null,"abstract":"Most of the current existing style transfer methods are based on photographs or Western paintings. Due to the inherent differences between Chinese and Western paintings, direct application of existing algorithms cannot generate satisfactory style transfer results for Chinese ink paintings. Accordingly, this paper proposes a new feedforward style transfer method, called inkStyle, which uses a draw Network to transfer global style patterns at low resolution and a higher resolution details networks to modify local style patterns in a pyramidal manner based on the multi-level Laplacian filtering output of the content image. The experimental results show that the method in the paper performs better and produces better visual results.","PeriodicalId":177416,"journal":{"name":"Conference on Electronic Information Engineering and Data Processing","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114656823","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
Improved CBS algorithm based on the idea of pre-planning 基于预规划思想的改进CBS算法
Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682558
Zhuoran Wang, Jiayan Wen, Jingjing Lu
{"title":"Improved CBS algorithm based on the idea of pre-planning","authors":"Zhuoran Wang, Jiayan Wen, Jingjing Lu","doi":"10.1117/12.2682558","DOIUrl":"https://doi.org/10.1117/12.2682558","url":null,"abstract":"The Conflict-Based Search (CBS) algorithm is one of the Multi-Agent Path Finding (MAPF) algorithms that has received much attention in recent years. It is a two-level algorithm. The high-level detects and resolves conflicts on a Constraint Tree (CT). Its low-level algorithm is to plan the optimal path for a given agent that satisfies all the constraints of the agent. In this paper, the Space-Time A* (STA*) algorithm is used as the low-level algorithm, which adds the time dimension to the A* algorithm. It means that the planning path for a single agent tends to generate and extend more and more sub-nodes. As the complexity of the problem increases, the efficiency of the low-level solution becomes an increasingly large part of the overall solution efficiency. This leads to an inefficient overall solution. To address this problem, an improved CBS algorithm is proposed. This algorithm is used when the current node in CT has conflicts. It uses current node information and Multi-value Decision Diagram (MDD) technology to pre-plan before formal re-planning. The pre-planning phase entails obtaining information pertaining to the path that satisfies the new constraint, which is referred to as pre-planning information. During the formal re-planning, the pre-planning information is used to guide the low-level algorithm to select the generated sub-nodes. The simulation experiments show that CBS with pre-planning improves the solution time by 24.4% and reduces the search space by 38.7%.","PeriodicalId":177416,"journal":{"name":"Conference on Electronic Information Engineering and Data Processing","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114530591","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
Curvature-based segmental sampling for point cloud registration 基于曲率的点云配准分段采样
Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682387
Ping Lu
{"title":"Curvature-based segmental sampling for point cloud registration","authors":"Ping Lu","doi":"10.1117/12.2682387","DOIUrl":"https://doi.org/10.1117/12.2682387","url":null,"abstract":"Point cloud registration is an important part of point cloud processing. An unsuitable down sampling filter in registration can lead to inaccurate registration results. In this paper, a Curvature-Based Segmental Sampling (CBSS) method is proposed, which arranges the curvatures of vertices in descending order and then divides them into many segments, and finally selects the vertices with higher curvature as the sampling results. The algorithm is implemented with the open-source library Point Cloud Library (PCL) and then the filter is compared with Voxel Grid (VG) and Normal Space Sampling (NSS) through a series of registration experiments. The experimental results demonstrate that the proposed filter outperforms the other two filters in achieving higher coarse registration accuracy.","PeriodicalId":177416,"journal":{"name":"Conference on Electronic Information Engineering and Data Processing","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115833030","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
Infrared image fall detection for the elderly based on improved residual network 基于改进残差网络的老年人红外图像跌倒检测
Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682277
Xiangrui Cao, Zheng-yu Zhang, Yong-dong Wang
{"title":"Infrared image fall detection for the elderly based on improved residual network","authors":"Xiangrui Cao, Zheng-yu Zhang, Yong-dong Wang","doi":"10.1117/12.2682277","DOIUrl":"https://doi.org/10.1117/12.2682277","url":null,"abstract":"To solve the problem that traditional computer vision for elderly fall detection cannot protect the privacy of the elderly, this paper uses infrared array sensors for elderly fall detection and constructs a human infrared image fall detection system using an independently designed Raspberry Pi 4b to collect human infrared image datasets. The ECA-ResNet18 network model based on the ResNet18 network model is constructed for infrared human action recognition. Experiments were conducted on different datasets. The detection accuracy of the method reached 97.5% and 99.5% for the infrared and visible datasets, respectively, which is 5.7 and 0.8 percentage points higher than the original model; the accuracy was also improved compared with other neural network models. The results show that the ECA-ResNet18 network model has high recognition accuracy and fast detection speed in action recognition of infrared images, which has some practical application value for the promotion of intelligent pension.","PeriodicalId":177416,"journal":{"name":"Conference on Electronic Information Engineering and Data Processing","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114910118","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 optimization of massive small file processing performance based on Ceph 基于Ceph的海量小文件处理性能研究与优化
Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682512
Aiwu Shi, Zhencai Tian, Ge Chen, Jiyong Min, Jun Wu
{"title":"Research and optimization of massive small file processing performance based on Ceph","authors":"Aiwu Shi, Zhencai Tian, Ge Chen, Jiyong Min, Jun Wu","doi":"10.1117/12.2682512","DOIUrl":"https://doi.org/10.1117/12.2682512","url":null,"abstract":"In today’s computing era, lots of files are generated from various areas due to the rapid development of technologies. Storing and processing massive, small files is one of the significant challenges for Ceph. Ceph is a scalable, reliable, high-performance storage solution widely used in cloud computing. However, for a large number of small files, Ceph has problems such as write amplification will cause performance bottlenecks. This paper proposes a novel technique Extended Small Files Processing Framework (ESFPF). Firstly, for efficient storage of files, the small files are merged after deduplication, which will effectively reduce the data blocks of Ceph to reduce load to achieve high-efficiency data processing operation. Secondly, a prefetching mechanism and file index is introduced to improve the efficiency of accessing small files. The experimental results indicate that the proposed approach can improve the efficiency of storing and accessing massive, small files on Ceph.","PeriodicalId":177416,"journal":{"name":"Conference on Electronic Information Engineering and Data Processing","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124767298","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 behavior recognition of experimental process based on improved YOLOV4 基于改进YOLOV4的实验过程异常行为识别
Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682353
Changyong Zhang, Chunyang Jin, Yuzhou Li
{"title":"Abnormal behavior recognition of experimental process based on improved YOLOV4","authors":"Changyong Zhang, Chunyang Jin, Yuzhou Li","doi":"10.1117/12.2682353","DOIUrl":"https://doi.org/10.1117/12.2682353","url":null,"abstract":"In order to strengthen the management of experimental teaching process and improve the accuracy of abnormal behavior detection of students, the existing YOLOv4 algorithm is improved. By adding channel attention mechanism SE module in the main feature extraction network, the algorithm ensures fast and effective extraction of student behavior effective features. A soft pooled SPP network based on CSP structure is used to assist optimization and feature extraction to reduce information loss in the pooling process. By introducing Focal loss function to deal with uneven number of plus and minus samples and difficult sample training in data, the effect of student behavior classification is improved. The algorithm is verified by experiment on the self-made behavior data set. The results show that the improved YOLOv4 algorithm has a better detection effect on students' behavior, and the average accuracy rate reaches 86.41%. Compared with the YOLOv4 algorithm, the recognition accuracy rate is improved by about 7%.","PeriodicalId":177416,"journal":{"name":"Conference on Electronic Information Engineering and Data Processing","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124593991","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
Application of error prevention system for distribution network 配电网防错系统的应用
Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682599
Li Xiao, Wenjuan Wang, Hui Huang
{"title":"Application of error prevention system for distribution network","authors":"Li Xiao, Wenjuan Wang, Hui Huang","doi":"10.1117/12.2682599","DOIUrl":"https://doi.org/10.1117/12.2682599","url":null,"abstract":"As the terminal network of the power system, the distribution network has complex power supply structure, and the traditional power grid error prevention strategies are not so suitable for direct use in the distribution network. Based on network topology analysis, intelligent control, intelligent lock control and other technologies, this paper proposes a set of intelligent error prevention system for distribution network, which can effectively guarantee the safety of distribution network operators and improve the safe and stable operation level of distribution network.","PeriodicalId":177416,"journal":{"name":"Conference on Electronic Information Engineering and Data Processing","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121988232","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
Construction of user abnormal behavior detection model based on smart charging platform for electric vehicles 基于电动汽车智能充电平台的用户异常行为检测模型构建
Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682255
Junli Guo, Yunke Li, Haohua Li, Shibo Li, Yuanjiz Zhu
{"title":"Construction of user abnormal behavior detection model based on smart charging platform for electric vehicles","authors":"Junli Guo, Yunke Li, Haohua Li, Shibo Li, Yuanjiz Zhu","doi":"10.1117/12.2682255","DOIUrl":"https://doi.org/10.1117/12.2682255","url":null,"abstract":"As the number of users using electric vehicles continues to increase, the amount of user charging behavior data in the electric vehicle smart charging platform has also shown an explosive growth trend. By profiling users' daily charging behaviors, it is used to detect whether users' charging behaviors are abnormal and prevent the generation of behaviors such as electricity theft. In this paper, we propose a method to construct a user abnormal behavior detection model based on a smart charging platform. The aggregation validity index is constructed and used to determine the optimal classification number K value of the K-means clustering algorithm, the optimal set of user features is extracted by the redundant dynamic weight feature selection algorithm, the abnormality threshold is set, and finally the user abnormal behavior model is constructed based on softmax regression. Finally, the effectiveness of the method is demonstrated by comparison analysis.","PeriodicalId":177416,"journal":{"name":"Conference on Electronic Information Engineering and Data Processing","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126223851","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
OpenCL-based programming library for heterogeneous computing on ReWorks operating system 基于opencl的ReWorks异构计算编程库
Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682546
Xiaoyan Liu, Baojian Hua, Junmin Wu
{"title":"OpenCL-based programming library for heterogeneous computing on ReWorks operating system","authors":"Xiaoyan Liu, Baojian Hua, Junmin Wu","doi":"10.1117/12.2682546","DOIUrl":"https://doi.org/10.1117/12.2682546","url":null,"abstract":"Heterogeneous Computing (HC) is a computing solution that can provide high performance and low power consumption for large-scale problems and has been successfully applied to various scenarios such as 5G communication, video processing, data mining, and edge computing. To facilitate parallel programming on multiple computing cores, the Open Computing Language (OpenCL) was created as a programming standard for heterogeneous computing systems. Unfortunately, the ReWorks operating system does not provide such a heterogeneous programming environment for developers, and thus cannot obtain the high performance offered by heterogeneous systems. This paper presents a novel OpenCL-based heterogeneous computing environment, available as a third-party library for developers using the ReWorks real-time operating system. We conducted systematic experiments to evaluate the performance of this heterogeneous computing library, and the experimental results show that programs based on the heterogeneous system exhibit superior performance compared to the original ReWorks native application.","PeriodicalId":177416,"journal":{"name":"Conference on Electronic Information Engineering and Data Processing","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125716812","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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