2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)最新文献_第5页

Personalized Intelligent Recommendation of Cultural Resources Based on User Preference Collaborative Filtering Algorithm 基于用户偏好协同过滤算法的文化资源个性化智能推荐

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9988097

Ping-Rong Wang

{"title":"Personalized Intelligent Recommendation of Cultural Resources Based on User Preference Collaborative Filtering Algorithm","authors":"Ping-Rong Wang","doi":"10.1109/ICDSCA56264.2022.9988097","DOIUrl":"https://doi.org/10.1109/ICDSCA56264.2022.9988097","url":null,"abstract":"With the rapid growth of user information, more and more netizens hope to obtain more comprehensive and effective useful resources through the Internet. However, the traditional information retrieval system can not meet the requirements of its very large amount of data, especially complex and extremely valuable because of the low efficiency of algorithm, low accuracy and limited database resources. Therefore, this paper proposes a collaborative filtering algorithm based on user preference to study the personalized recommendation of ethnic cultural resources. Firstly, this paper introduces the concept, function and characteristics of ethnic cultural resources, and then studies the collaborative filtering algorithm based on users' preferences. On this basis, the personalized recommendation framework of ethnic cultural resources is studied, and the operation performance of this framework is tested. The final test results show that the personalized recommendation method of ethnic cultural resources based on user preference collaborative filtering algorithm is different from other similar applications. Using the same attribute set for the same purpose can obtain more similarity information. Therefore, it can be seen that the personalized recommendation method of ethnic cultural resources based on user preference collaborative filtering algorithm can meet the basic needs.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"92 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":"126193712","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 method of emergency strategy generation for city power grid system destruction 城市电网系统破坏应急策略生成方法研究

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9988205

Yonggang Xu, Shiyang Tang, Yexin Zhang, Hong Han, Peng Zhang, Can Sui

引用次数: 0

Computer Aided Structure Design of a Negative Pressure Garbage Cleaning Vehicle 负压垃圾清扫车计算机辅助结构设计

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9988007

Ying Chen, Haisen Zeng, Jingchen Pu, Ruixin Liu, Hao Long, Kailang Lan

{"title":"Computer Aided Structure Design of a Negative Pressure Garbage Cleaning Vehicle","authors":"Ying Chen, Haisen Zeng, Jingchen Pu, Ruixin Liu, Hao Long, Kailang Lan","doi":"10.1109/ICDSCA56264.2022.9988007","DOIUrl":"https://doi.org/10.1109/ICDSCA56264.2022.9988007","url":null,"abstract":"At present, all kinds of garbage trucks are filled and must be dumped back to the garbage yard before returning to the origin to clean up the garbage. This process is time-consuming and oil-consuming. Moreover, all kinds of garbage trucks are dumped by lifting the car. Therefore, they can only be left on the ground and processed with other tools. It requires multiple machines to help complete the treatment of garbage. Almost all garbage trucks put the trash into the carriage, dumped it, and placed debris in classification. Without considering the steps of putting garbage from the carriage, waste was set in type, resulting in time-consuming and resource-consuming problems. Given these problems, this paper designs a multi-functional negative pressure garbage cleaning vehicle, which can classify and place garbage, flexibly dump trash into nearby large garbage bins, and adjust the height of garbage dumping. Referring to the principle of negative pressure ventilation, the cleaning range is extensive, the efficiency is high, the adaptability to the environment is flexible, the garbage can be cleaned by classification. The experimental results show that the designed automatic garbage cleaning machine meets users' needs, creates social benefits, and has high promotion value.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"34 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":"125033132","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 the application of computer graphics aided design in cartoon graphics design of children's hospital 计算机图形辅助设计在儿童医院卡通图形设计中的应用研究

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9988541

Lixian Zhu, Zhongcong Wei

引用次数: 0

Development status and development trend of smart grid 智能电网的发展现状及发展趋势

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9988644

Tianyu Feng

引用次数: 0

Research on the Application Design of Computer Virtual Reality Technology in Animation 计算机虚拟现实技术在动画中的应用设计研究

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9988193

Jiaoyan Liu

引用次数: 0

Research on Optimization Algorithm of Intelligent Connected Vehicle Recognition Based on Long Short-Term Memory Network 基于长短期记忆网络的智能网联汽车识别优化算法研究

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9988502

Moli Wang, Yandong Shen, Fei Gao, Qiao Song

{"title":"Research on Optimization Algorithm of Intelligent Connected Vehicle Recognition Based on Long Short-Term Memory Network","authors":"Moli Wang, Yandong Shen, Fei Gao, Qiao Song","doi":"10.1109/ICDSCA56264.2022.9988502","DOIUrl":"https://doi.org/10.1109/ICDSCA56264.2022.9988502","url":null,"abstract":"In recent years, intelligent driving has gradually entered the public's awareness due to the rapid and continuous development of the Internet information age. The most mature application of intelligent driving technology is currently the intelligently networked vehicle, which is capable of applying relevant knowledge in various fields in an extremely comprehensive manner and is being tested for the maturity of autonomous driving technology to a considerable extent. As intelligent networked vehicles have progressed, safety issues in autonomous driving have gradually attracted public attention and become a popular research area. This paper primarily discusses the related issues of intelligent networked vehicles in the context of executing automatic driving and focuses on the identification and optimization algorithms of such vehicles during operation. Additionally, a particle swarm algorithm optimizes the identification optimization process, and a long short-term memory network replaces the relevant characteristics to ensure its operation's reliability.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"1 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":"127515841","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

Optimized Control of Steering Mechanism Based on Active Radial Bogie 基于主动径向转向架的转向机构优化控制

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9988713

Hongrui Liang, Shanfeng Wang, Guanyi Wang, Yuhao Xia

引用次数: 0

Design of PC monitoring system of the wind turbine simulator based on LabVIEW 基于LabVIEW的风力机模拟器PC监控系统设计

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9987955

Wang Yun, L. Hui

引用次数: 0

COVID-19 Visualization Platform Based on Population Density Propagation Model 基于人口密度传播模型的COVID-19可视化平台

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9987870

Mengmei Wang, Shuguang Peng

{"title":"COVID-19 Visualization Platform Based on Population Density Propagation Model","authors":"Mengmei Wang, Shuguang Peng","doi":"10.1109/ICDSCA56264.2022.9987870","DOIUrl":"https://doi.org/10.1109/ICDSCA56264.2022.9987870","url":null,"abstract":"Based on the classical SIR model and CEMM intercity model, a new model was established by adding \"population density\" parameter to analyze and predict the spread of virus. In addition, the current trend of the epidemic and forecast data can be referenced to the public in an intuitive web view to improve the perception of risk information in the society. The real-time epidemic data interface was adopted to analyze the real-time pneumonia epidemic data captured by the deployment of timing crawler combined with the regional population density to build a model. Then, the diversified charts, Python and Web front-end technologies were used to realize the visualization of epidemic information. COVID-19 grows exponentially without obstruction, and when a place has a high population density, the spread of the virus accelerates and the number of people infected increases. The research shows that the integration of population density parameters can further improve the epidemic prediction function, provide epidemic data reference in a more effective and accurate way, and further improve the public's ability to perceive social risk information.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"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":"130006187","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