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2022 International Seminar on Computer Science and Engineering Technology (SCSET)最新文献

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Design and Implementation of GIS Basic Data Quality Management Tools for Power Network 电网GIS基础数据质量管理工具的设计与实现
2022 International Seminar on Computer Science and Engineering Technology (SCSET) Pub Date : 2022-01-01 DOI: 10.1109/scset55041.2022.00085
Wei Cheng, Kui-tai Liu, Shenliang Wang, Li Li
{"title":"Design and Implementation of GIS Basic Data Quality Management Tools for Power Network","authors":"Wei Cheng, Kui-tai Liu, Shenliang Wang, Li Li","doi":"10.1109/scset55041.2022.00085","DOIUrl":"https://doi.org/10.1109/scset55041.2022.00085","url":null,"abstract":"The GIS based data quality is the premise of all data processing and analysis, and it has great significance for carrying out GIS business applications and improving the level of practical system. However, due to the adjustment of the platform model, the new and old system data migration, wrong data source input and other reasons, the power grid GIS basic data quality issues are serious. In order to solve the problem of quality management of stock data, this paper designs and implements a GIS data quality management tool based on graph logic processing algorithm, which includes data source management, configuration management, query management and so on. Test results show that the use of the tool technology and optimization of the relevant management process can continuously improve the power grid GIS based data quality, and enhance the practical application of GIS large data.","PeriodicalId":446933,"journal":{"name":"2022 International Seminar on Computer Science and Engineering Technology (SCSET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133659623","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 Face Pose Estimation Method for Virtual Try-on System 虚拟试戴系统人脸姿态估计方法研究
2022 International Seminar on Computer Science and Engineering Technology (SCSET) Pub Date : 2022-01-01 DOI: 10.1109/scset55041.2022.00043
Xiwen Shao
{"title":"Research on Face Pose Estimation Method for Virtual Try-on System","authors":"Xiwen Shao","doi":"10.1109/scset55041.2022.00043","DOIUrl":"https://doi.org/10.1109/scset55041.2022.00043","url":null,"abstract":"This paper proposes a 3D face pose estimation algorithm based on feature points, which realizes the angle estimation of human faces in any pose. It can accurately estimate within 30 degrees on 6 degrees of freedom, and provides the algorithm basis for a subsequent real 3D try-on.","PeriodicalId":446933,"journal":{"name":"2022 International Seminar on Computer Science and Engineering Technology (SCSET)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132759493","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 Progress Of Bolt Loose Detection Technology Based On Convolutional Neural Network 基于卷积神经网络的螺栓松动检测技术研究进展
2022 International Seminar on Computer Science and Engineering Technology (SCSET) Pub Date : 2022-01-01 DOI: 10.1109/scset55041.2022.00059
Zhenzhu Guo, Yiduo Zhang
{"title":"Research Progress Of Bolt Loose Detection Technology Based On Convolutional Neural Network","authors":"Zhenzhu Guo, Yiduo Zhang","doi":"10.1109/scset55041.2022.00059","DOIUrl":"https://doi.org/10.1109/scset55041.2022.00059","url":null,"abstract":"Convolutional neural networks have powerful generalization and expression capabilities for extracting deep-level features of images. Their emergence has further promoted the development of artificial intelligence, and greatly improved the image recognition and detection effects and computer operating speed. With the advent of the global intelligent era, image recognition and detection technology based on convolutional neural networks has emerged in various fields of workpiece detection, and it has also brought challenges for professionals in this field to optimize intelligent algorithms. In this paper, the recognition process of the convolutional neural network and the current research status of the convolutional neural network in the recognition of bolt looseness images are described and prospected.","PeriodicalId":446933,"journal":{"name":"2022 International Seminar on Computer Science and Engineering Technology (SCSET)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134633477","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
A Study on the optimization of Multi-cycle and Multi-source Procurement and Transport of Enterprises Based on the Genetic Algorithm 基于遗传算法的企业多周期多源采购运输优化研究
2022 International Seminar on Computer Science and Engineering Technology (SCSET) Pub Date : 2022-01-01 DOI: 10.1109/scset55041.2022.00032
Hongling Guo
{"title":"A Study on the optimization of Multi-cycle and Multi-source Procurement and Transport of Enterprises Based on the Genetic Algorithm","authors":"Hongling Guo","doi":"10.1109/scset55041.2022.00032","DOIUrl":"https://doi.org/10.1109/scset55041.2022.00032","url":null,"abstract":"Enterprises put forward higher requirements on selection of raw material suppliers and forwarders, while minimizing product costs in real production. Aiming at optimization of multi-source and multi-cycle suppliers and forwarders, we established an evaluation system first by selecting evaluation indicators with the multiple link relatives method and the TOPSIS method; then built a multi-objective optimization model for selection of suppliers and forwarders with consideration of the transport loss rate, based on the objectives of the most economical cost of raw materials and the least transport loss, under the premise that the stock can support normal production; optimized and improved the sifting operator of the genetic algorithm; and analyzed the effect and feasibility of the implementation.","PeriodicalId":446933,"journal":{"name":"2022 International Seminar on Computer Science and Engineering Technology (SCSET)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115393074","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 Management System for Electric Tools Based on RFID 基于RFID的电动工具管理系统的设计与实现
2022 International Seminar on Computer Science and Engineering Technology (SCSET) Pub Date : 2022-01-01 DOI: 10.1109/scset55041.2022.00075
Qian Chen, Hu Ji, Kai Xiao, Chuanpeng Pan
{"title":"Design and Implementation of Management System for Electric Tools Based on RFID","authors":"Qian Chen, Hu Ji, Kai Xiao, Chuanpeng Pan","doi":"10.1109/scset55041.2022.00075","DOIUrl":"https://doi.org/10.1109/scset55041.2022.00075","url":null,"abstract":"In order to better serve the production of power grid and achieve goal of information management of power tools and instruments in the whole life cycle, this paper analyzes problems faced by power tools and instruments management, studies storage and system structure of power tools and instruments production data, and designs management system of power tools and instruments based on RFID. By means of the integrated intelligent workstation near the RFID terminal to ensure automatic registration of warehouse management of tools and instruments, by means of acquiring data collected by the RFID reader set on the shelf to make a real-time inventory of tools and instruments in warehouse, by means of access control alarm service to guarantee information registration of abnormal ex-warehouse and in-warehouse and alarm prompt, by means of movement trajectory of indoor positioning terminal tracking tools and instruments to realize regional positioning, by means of integrated management system of the far RFID terminal to view and manage tool information, operation instruction and staff information. The system has been successfully applied to Qingyuan Pumped Storage Power Station of China Southern Power Grid.","PeriodicalId":446933,"journal":{"name":"2022 International Seminar on Computer Science and Engineering Technology (SCSET)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114441702","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
Mapping and Path Planning Simulation of Mobile Robot Slam Based on Ros 基于Ros的移动机器人Slam映射与路径规划仿真
2022 International Seminar on Computer Science and Engineering Technology (SCSET) Pub Date : 2022-01-01 DOI: 10.1109/scset55041.2022.00012
Jingdi Cheng, Liucun Zhu, Xuhang Cai, Hongwei Wu
{"title":"Mapping and Path Planning Simulation of Mobile Robot Slam Based on Ros","authors":"Jingdi Cheng, Liucun Zhu, Xuhang Cai, Hongwei Wu","doi":"10.1109/scset55041.2022.00012","DOIUrl":"https://doi.org/10.1109/scset55041.2022.00012","url":null,"abstract":"Research on SLAM mapping and autonomous navigation of ROSmobile robots is increasing. It is very important to conduct simulation research on SLAM construction and autonomous navigation of mobile robot in real environment. It is helpful to discover and correct the problems existing in the mapping and autonomous navigation of MOBILE robot in SLAM in real time. The mobile robot simulation model is built by URDF and displayed in Gazebo simulation software. The simulation model of mobile robot shown in Gazebo is studied experimentally. The results show that the constructed mobile robot can construct 2d raster map in Gazebo simulation environment by using Gmapping function package in ROS combined with keyboard control, and display the constructed 2D raster map in Rviz. Finally, load yamL file under move_base function package in ROS in Launch file, and realize simple path planning of mobile robot in 2D raster map by combining 2D Nav Goal in Rviz.","PeriodicalId":446933,"journal":{"name":"2022 International Seminar on Computer Science and Engineering Technology (SCSET)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124706514","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
Intelligent tracking car system based on single chip microcomputer 基于单片机的智能跟踪小车系统
2022 International Seminar on Computer Science and Engineering Technology (SCSET) Pub Date : 2022-01-01 DOI: 10.1109/scset55041.2022.00044
Jie Wen, Jianghua Liu, Fu Xu, Jie Huang
{"title":"Intelligent tracking car system based on single chip microcomputer","authors":"Jie Wen, Jianghua Liu, Fu Xu, Jie Huang","doi":"10.1109/scset55041.2022.00044","DOIUrl":"https://doi.org/10.1109/scset55041.2022.00044","url":null,"abstract":"In the rapid development of science and technology in the 21st century, automation equipment has gradually entered people’s lives widely with the rapid development. In this design, the intelligent car uses TC264D as the core control module. It uses the camera to detect the track information, and obtains the middle line of the track according to the connected domain extraction. Inductance coils are used to collect electromagnetic information, and infrared ranging modules are used to assist in judging elements such as ramps and roadblocks. In the process of the smart car running, the encoder obtains the speed of the smart car by collecting the rotational speed of the tire. According to the collected data, the SCM controls the speed of the driving motor through the PI control algorithm, and the PD algorithm and the fuzzy control control the steering gear Angle, realizing the closed-loop control of the intelligent car motor and steering gear. At the same time, use the host computer, keys, IPS LCD module and other debugging tools to debug. Finally, the car can complete the automatic tracking driving, the speed reaches 2m/s.","PeriodicalId":446933,"journal":{"name":"2022 International Seminar on Computer Science and Engineering Technology (SCSET)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126352178","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 Cloud Computing in Power Consumption Information Acquisition System 云计算在功耗信息采集系统中的研究与应用
2022 International Seminar on Computer Science and Engineering Technology (SCSET) Pub Date : 2022-01-01 DOI: 10.1109/scset55041.2022.00083
Li Li, Kun Liu, Shenliang Wang, Qiuxiang Hu
{"title":"Research and Application of Cloud Computing in Power Consumption Information Acquisition System","authors":"Li Li, Kun Liu, Shenliang Wang, Qiuxiang Hu","doi":"10.1109/scset55041.2022.00083","DOIUrl":"https://doi.org/10.1109/scset55041.2022.00083","url":null,"abstract":"With the development of the power Internet of things, higher requirements are imposed on the data processing of distribution network. The traditional Oracle database can no longer withstand the increasing data pressure of the power consumption information acquisition system, so it is urgent to alter the system. This paper uses cloud computing technology to transform the power consumption information acquisition system in distribution network. By setting business process verification scenarios to simulate the use of electricity information collection and storage experiments, the feasibility of business migration to the cloud and the cloud platform’s performance advantage are verified. Moreover, the security of the cloud platform architecture is analyzed, and the results show that the cloud computing technology can provide a certain level of support for the existing power consumption information acquisition system.","PeriodicalId":446933,"journal":{"name":"2022 International Seminar on Computer Science and Engineering Technology (SCSET)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116700746","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
A CNN-RNN Based Fake News Detection Model Using Deep Learning 基于CNN-RNN的深度学习假新闻检测模型
2022 International Seminar on Computer Science and Engineering Technology (SCSET) Pub Date : 2022-01-01 DOI: 10.1109/scset55041.2022.00019
Qamber Abbas, M. Zeshan, Muhammad Asif
{"title":"A CNN-RNN Based Fake News Detection Model Using Deep Learning","authors":"Qamber Abbas, M. Zeshan, Muhammad Asif","doi":"10.1109/scset55041.2022.00019","DOIUrl":"https://doi.org/10.1109/scset55041.2022.00019","url":null,"abstract":"False news has become widespread in the last decade in political, economic, and social dimensions. This has been aided by the deep entrenchment of social media networking in these dimensions. Facebook and Twitter have been known to influence the behavior of people significantly. People rely on news/information posted on their favorite social media sites to make purchase decisions. Also, news posted on mainstream and social media platforms has a significant impact on a particular country’s economic stability and social tranquility. Therefore, there is a need to develop a deceptive system that evaluates the news to avoid the repercussions resulting from the rapid dispersion of fake news on social media platforms and other online platforms. To achieve this, the proposed system uses the preprocessing stage results to assign specific vectors to words. Each vector assigned to a word represents an intrinsic characteristic of the word. The resulting word vectors are then applied to RNN models before proceeding to the LSTM model. The output of the LSTM is used to determine whether the news article/piece is fake or otherwise.","PeriodicalId":446933,"journal":{"name":"2022 International Seminar on Computer Science and Engineering Technology (SCSET)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121641531","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
Direction-finding array layout optimization technology based on artificial intelligence algorithm 基于人工智能算法的测向阵列布局优化技术
2022 International Seminar on Computer Science and Engineering Technology (SCSET) Pub Date : 2022-01-01 DOI: 10.1109/scset55041.2022.00022
Ruiqi Sun, Xuefeng Zhang, Lei Guo, Tianbo Liu, Bing Ren, Yuanyuan Zhu
{"title":"Direction-finding array layout optimization technology based on artificial intelligence algorithm","authors":"Ruiqi Sun, Xuefeng Zhang, Lei Guo, Tianbo Liu, Bing Ren, Yuanyuan Zhu","doi":"10.1109/scset55041.2022.00022","DOIUrl":"https://doi.org/10.1109/scset55041.2022.00022","url":null,"abstract":"In this paper, aiming at the problem of element arrangement of DF antenna array in reconnaissance equipment, combined with the characteristics of high-speed movement and shape and size of the device, an optimization method of direction finding array arrangement is proposed. According to the relationship between the direction finding accuracy and the position parameters of the array elements, the antenna array layout problem of the direction finding device is transformed into a convex optimization problem about the optimization of the array element position parameters. On the basis of modeling, the weight of convex optimization problem is set according to the requirements of technical scheme, and the most reasonable antenna layout position is obtained through optimization. The optimization method can make the direction finding accuracy close to the lower limit of accuracy as far as possible, and it does not need complicated experimental work. It is easy to realize and is suitable for engineering application.","PeriodicalId":446933,"journal":{"name":"2022 International Seminar on Computer Science and Engineering Technology (SCSET)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134369591","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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