2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)最新文献_第8页

Research on the Application System of Course Test Questions and Examinations under Computer Big Data Technology 计算机大数据技术下的课程试题与考试应用系统研究

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9987859

Hui Zhang

{"title":"Research on the Application System of Course Test Questions and Examinations under Computer Big Data Technology","authors":"Hui Zhang","doi":"10.1109/ICDSCA56264.2022.9987859","DOIUrl":"https://doi.org/10.1109/ICDSCA56264.2022.9987859","url":null,"abstract":"The open online college English computer teaching management system is an open teaching system that integrates classroom teaching and tutoring, courseware production and management. The development and use of the English online examination system has fundamentally changed the traditional examination method and truly separated teaching and examination. The examination system designed by the use of network and computer information technology makes the examination procedures and test propositions of students reach an unprecedented standard, standardizes the examination procedures, and provides a feasible scheme for the reform of English examination methods. The article designs a “Network-based College English Examination System”. The system adopts the C/S and B/S mixed mode of three-tier structure, selects Delphi programming language, and uses SQLServer2000 database as the system development tool. This paper analyzes the composition of the functional modules of the system, studies the technology of test question extraction, and proposes a translation question scoring strategy.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115415675","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

Analysis of Circuit Characteristics of Double Memristors Based on Active Magnetic Memristor 基于有源磁阻器的双忆阻器电路特性分析

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9988119

Yimeng Liu, Xuanyu Zhou, H. Xu

引用次数: 0

Multi-Objective Optimal Scheduling of Reservoirs Integrating the Internet of Things and Deep Learning Models 结合物联网和深度学习模型的水库多目标优化调度

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9988515

Yang Li, Jiancang Xie, Jianghua Yang

{"title":"Multi-Objective Optimal Scheduling of Reservoirs Integrating the Internet of Things and Deep Learning Models","authors":"Yang Li, Jiancang Xie, Jianghua Yang","doi":"10.1109/ICDSCA56264.2022.9988515","DOIUrl":"https://doi.org/10.1109/ICDSCA56264.2022.9988515","url":null,"abstract":"With the continuous upgrading and expansion of the concept and technology of the Internet of Things (IoT), the production methods of many traditional industries have undergone earth-shaking changes. IoT and Differential Evolution Algorithm (DEA) are integrated into the deep learning model for multi-objective optimal scheduling of reservoirs. Firstly, based on IoT, a multi-objective optimal dispatching system and a wireless sensor network module for the reservoir are designed, which are mainly used to collect and process data. Secondly, a constraint system that comprehensively considers the reservoir water balance and other aspects are proposed. A certain reservoir group is taken as the research object, combined with the collected information of the reservoir groups in previous years. The ecological dispatch is studied to ensure the ecological flow of 60m3/s, and the preparation and calculation of the monthly and ten-day water dispatch plans for normal and low water levels are realized. The dispatching results confirm that the ecological dispatching scheme of this reservoir group has high operability and reliability in practice.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116801650","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 Study of Big Data Technology for Writing Computer Textbook Looseleaf 大数据技术在计算机教材《活页》编写中的应用研究

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9988236

Jie-lan Zhang

{"title":"A Study of Big Data Technology for Writing Computer Textbook Looseleaf","authors":"Jie-lan Zhang","doi":"10.1109/ICDSCA56264.2022.9988236","DOIUrl":"https://doi.org/10.1109/ICDSCA56264.2022.9988236","url":null,"abstract":"With the advent of the era of big data in education, course materials resources are accumulating and rapidly increasing in variety, and course knowledge is constantly changing, making it increasingly difficult to analyze and efficiently select knowledge points from a large number of course materials resources; course materials are organized in a variety of forms, resulting in differences in the knowledge structure of course materials, making it more difficult to filter and effectively organize course materials. This makes it even more difficult to select and organize course materials effectively. With the help of data analysis and technical support provided by big data, this paper proposes a method for automatic extraction of course knowledge points and knowledge organization in a big data environment after studying the relevant views and methods on course knowledge points and course knowledge organization at home and abroad, and draws on the successful experience of data mining and text mining in educational data mining to further help teaching resource organizers and teaching resource developers, teachers and others to It further assists teaching resource arrangers and developers, teachers and others to analyze, filter and evaluate course materials, and learners to find and learn relevant knowledge points.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116717051","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 Computer Big Data and Cloud Computing Technology in the Promotion of E-commerce Advertising 计算机大数据与云计算技术在电子商务广告推广中的应用

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9988034

Jingcheng Zhang

引用次数: 0

Comprehensive Energy Metering Collection and Detection Management by Computer Network Technology 基于计算机网络技术的综合能源计量采集与检测管理

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9987908

Yilong Li, Tao Xiao, Jiaying Wang, Zhen Ding

{"title":"Comprehensive Energy Metering Collection and Detection Management by Computer Network Technology","authors":"Yilong Li, Tao Xiao, Jiaying Wang, Zhen Ding","doi":"10.1109/ICDSCA56264.2022.9987908","DOIUrl":"https://doi.org/10.1109/ICDSCA56264.2022.9987908","url":null,"abstract":"Measurement data management is a very important part of energy saving and consumption reduction in enterprises. The comprehensiveness, timeliness, and accuracy of measurement data collection will directly affect the decision-making of production and the improvement of overall efficiency. However, in most energy-consuming enterprises, measurement data management will undoubtedly become a major and complex issue due to the complex production process, numerous measurement links, and great differences in the characteristics of various measurement media. In order to effectively exert the function of metering data management and create obvious economic benefits for enterprises, firstly, this work discusses the common equipment data collection content and Browser/server (B/S) architecture theory in comprehensive energy metering collection and testing management. Secondly, based on B/S architecture, computer network technology is used to establish a smart integrated energy measurement collection and detection management system. Finally, the energy consumption of the energy metering information network is analyzed under computer network technology. The results show that the comprehensive energy measurement by computer network technology is closer to the numerical range of actual energy collection results. The traditional energy measurement collection results and the actual energy measurement value range are larger, which is not conducive to the authenticity of the energy measurement collection data and the further energy detection and management of the enterprise. This work realizes the design of a comprehensive energy measurement collection and detection management system under the computer network technology, which will provide data support for enterprises to carry out comprehensive energy management.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114614289","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

Multi-target Search Using Teams of Robots Based on Thompson Sampling 基于汤普森采样的机器人团队多目标搜索

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9988679

Yidan Chen, Melvin Ticiano Gao

引用次数: 0

Research on Transformer Oil Dielectric Loss Live Detection System Based on Intelligent Internet of Things Technology 基于智能物联网技术的变压器油介质损耗带电检测系统研究

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9988516

Kexin Zhang, Siwei Han, Jianquan Liang, Yue Wang, Dewen Zhang, Shiyu Chen

引用次数: 0

Research on Deep Forgery Data Identification and Traceability Technology Based on Blockchain 基于区块链的深度伪造数据识别与溯源技术研究

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9988274

Ke-wei Yang, Da Li, Qingbei Guo, Hejian Wang, Desheng Bai, Xiukui Pan

{"title":"Research on Deep Forgery Data Identification and Traceability Technology Based on Blockchain","authors":"Ke-wei Yang, Da Li, Qingbei Guo, Hejian Wang, Desheng Bai, Xiukui Pan","doi":"10.1109/ICDSCA56264.2022.9988274","DOIUrl":"https://doi.org/10.1109/ICDSCA56264.2022.9988274","url":null,"abstract":"With the acceleration of the digital transformation of the power system, the electronic data in the power production operation has shown an explosive growth. However, the increasing proliferation of deep forgery technology has brought huge hidden dangers to the electronic data management of power grid enterprises, and it is urgent to build a trusted management system for electronic data. This paper proposes a blockchain-based deep forgery data identification and traceability framework. Firstly, a method of trusted identification of electronic data based on blockchain is proposed, which constructs the unique identification of data and embeds it in the electronic data as a digital watermark. Second, introduce blockchain-based electronic data forensic appraisal technology to conduct authenticity and similarity analysis of electronic data. Finally, a deep forgery data traceability mechanism based on digital identification is designed to realize deep forgery data traceability and dissemination supervision. After comparative analysis, the framework is more secure and efficient in deep forgery data supervision, and can provide key support for building a trusted content system in cyberspace.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130749477","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

Investigation on novel comparator design 新型比较器设计研究

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9988168

Xin-hua Yu

引用次数: 0