2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)最新文献_第7页

Comparative analysis of the impact of multiple faults on the performance of fast repulsion mechanism 多故障对快速斥力机构性能影响的对比分析

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9988028

Linru Ning, Zhaowei Peng, Dangguo Xu, P. Song, Yamei Li, S. Huang

{"title":"Comparative analysis of the impact of multiple faults on the performance of fast repulsion mechanism","authors":"Linru Ning, Zhaowei Peng, Dangguo Xu, P. Song, Yamei Li, S. Huang","doi":"10.1109/ICDSCA56264.2022.9988028","DOIUrl":"https://doi.org/10.1109/ICDSCA56264.2022.9988028","url":null,"abstract":"The fast repulsion mechanism plays a crucial role in fast mechanical switching, and although the structure is simple, it is prone to certain failures. To address this issue, this paper first gives a brief overview of the working principle of the fast repulsive mechanism, builds a simulation model of the fast repulsive mechanism using Maxwell, studies three kinds of failures caused by the repulsive disc damage, jamming and unstable capacitor charging voltage, and simulates the above three types of failures and the normal operation state separately for comparative analysis. The results show that when the repulsive disc is damaged, the electromagnetic repulsion force and movement speed will decrease with the increase of the crack depth when the crack depth of the repulsive disc gradually increases; when the jamming force gradually increases, the displacement and movement speed will decrease with the increase of the jamming force; when the capacitor charging voltage gradually decreases, the coil current, electromagnetic repulsion force and displacement will decrease with the decrease of the capacitor, and even cannot the normal division of the gate.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"42 3 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":"133217449","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 the Application of Computer Statistical Technology in Three-Point Shooting Rate Regular Model 计算机统计技术在三分球命中率规则模型中的应用研究

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9987865

Wang Pingyang, Hou Wenzhi

引用次数: 0

Intelligent Identification and Analysis of Dangerous Factors in Bridges Based on FISM-MICMAC Model and Computer Numerical Simulation 基于FISM-MICMAC模型和计算机数值模拟的桥梁危险因素智能识别与分析

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9988445

Xuantong Jiang, Mengqi Liu, Kaiwen Xue

{"title":"Intelligent Identification and Analysis of Dangerous Factors in Bridges Based on FISM-MICMAC Model and Computer Numerical Simulation","authors":"Xuantong Jiang, Mengqi Liu, Kaiwen Xue","doi":"10.1109/ICDSCA56264.2022.9988445","DOIUrl":"https://doi.org/10.1109/ICDSCA56264.2022.9988445","url":null,"abstract":"The service environment of the bridge column of the sea-crossing bridge is relatively poor, which is easily affected by the construction personnel and construction technology. The sea-crossing bridge is often in harsh weather waters such as strong winds and the current situation is difficult to predict. Therefore, it is particularly important to accurately and effectively identify and analyze the dangerous factors of bridge column construction. Based on the grounded theory, this paper selects 15 crucial risk factors for constructing the bridge column of the sea-crossing bridge from three aspects. The relationship between the indexes and the structure of the index system is analyzed by the fuzzy interpretative structural model-cross-impact matrix multiplication (FISM-MICMAC) method. The relationship between various factors is gradually analyzed and concluded from the perspective of the environment, construction, and human system analysis. The results show that the dangerous factors that play a direct role in the construction of cross-sea bridge columns mainly include the construction site conditions and material and equipment conditions, and the dangerous fundamental factors are the objective influence of natural environment and geological conditions. The proposed FISM-MICMAC model method can better identify the impact and correlation between the various risk factors, and further provide relevant suggestions for engineering practice.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"17 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":"131925674","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 Artificial Intelligence Technology in Criminal Risk Intelligent Assessment Model 人工智能技术在犯罪风险智能评估模型中的应用

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9988675

Feng Yao

引用次数: 0

Teaching Aids Design for a Small Self-Driving Car to Steer the Autonomous Future 小型自动驾驶汽车的教学辅助设计，引领自动驾驶的未来

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9988095

Chun-Wen Chao

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

Research on Comprehensive Evaluation of D&A System Based on BP Neural Network and Cloud Computing 基于BP神经网络和云计算的D&A系统综合评价研究

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9987909

Shunan Liu, Zhengjie Gao

引用次数: 1

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

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

Improved Markowitz portfolio investment model based on ARIMA model and BP neural network 基于ARIMA模型和BP神经网络的改进Markowitz组合投资模型

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9988744

Jian-Bang Lin

引用次数: 1