2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)最新文献_第5页

Design and Implementation of Upper Computer of Upper and Lower Limb Rehabilitation Training Device Based on QT and Python 基于QT和Python的上下肢康复训练器上位机设计与实现

2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI) Pub Date : 2023-04-01 DOI: 10.1109/ACEDPI58926.2023.00077

Qingqing Kong, Yingling Du, Yan Su, Jinxia Li

引用次数: 0

Research on Situational Interactive Physics Based on Unity Engine 基于Unity引擎的情景交互物理研究

2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI) Pub Date : 2023-04-01 DOI: 10.1109/ACEDPI58926.2023.00052

W. Shike, Wang Yiru, Zou Xianna

{"title":"Research on Situational Interactive Physics Based on Unity Engine","authors":"W. Shike, Wang Yiru, Zou Xianna","doi":"10.1109/ACEDPI58926.2023.00052","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00052","url":null,"abstract":"With the continuous development of new technology and new media, the public demand and education concept, the expression of the game is more and more diversified, popular science education gamification exploration and make science education in a new education path, whether the game performance of entertainment, or its content of public welfare and educational, are more adapt to the current people to use new technology for popular science education demand. However, at present, domestic popular science games are still in the exploratory stage, and both theoretical support and practical results are rare. A large number of popular science games are serious homogenization, public acceptance is low, and there are limitations of education and entertainment.In the form of popular science game education and the way of situational interaction, this paper uses the application of Unity physics engine to create a physics popular science game with children aged 6-11 as the main body. Combine basic physical knowledge with games, using the educational concept of edutainment, to create entertaining and educational interactive popular science games, while easily and interestingly spreading scientific knowledge, enhance children’s interest in learning scientific knowledge, and stimulate children’s enthusiasm for independent learning. In a technology-driven digital learning environment, users can learn the physical knowledge such as inertia, gravity and parabola, and realize the immersive learning of physical knowledge in the way of game experience.This paper hopes to provide feasible solutions and design ideas for the creation of situational interactive popular science game.Change the public’s inherent view of the game, stimulate the interest in learning through the game, and better apply the technical content involved in the game to other fields.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126450713","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

Precision Marketing Recommendations Based on Artificial Intelligence and Network Big Data 基于人工智能和网络大数据的精准营销建议

2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI) Pub Date : 2023-04-01 DOI: 10.1109/ACEDPI58926.2023.00110

Bingbing Sheng

引用次数: 0

Training Data Selection and Optimization of English Translation System Based on Data-Driven Learning 基于数据驱动学习的英语翻译系统训练数据选择与优化

2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI) Pub Date : 2023-04-01 DOI: 10.1109/ACEDPI58926.2023.00019

Sufang Yu

{"title":"Training Data Selection and Optimization of English Translation System Based on Data-Driven Learning","authors":"Sufang Yu","doi":"10.1109/ACEDPI58926.2023.00019","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00019","url":null,"abstract":"Systematic programming of translation and translation optimization is a translation method of system structure and function, and a translation criterion with general meaning. Relying on modern system theory, it studies the organic connection of elements, structures and functions of the semantic system from the aspects of structural form, functional process and optimization method, and constructs the translation route, translation scope, translation and optimization of the structure and function of the semantic system as a whole. Data-driven learning has opened up a new path for college English translation teaching, which is a new trend in college English teaching reform. This paper discusses the selection and optimization of training data for English translation systems based on data-driven learning, and analyzes the optimization principles of current college English translation systems. On this basis, this paper further illustrates the application case of data-driven learning in college English translation teaching, aiming at providing constructive suggestions for corpus-based data-driven college English translation teaching.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130988337","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 an Intelligent System for Hydropower Management Informatization in Colleges Based on Particle Bee Colony Bionic Algorithm 基于粒子蜂群仿生算法的高校水电管理信息化智能系统构建

2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI) Pub Date : 2023-04-01 DOI: 10.1109/ACEDPI58926.2023.00025

Lin Chen, Ping Li

{"title":"Construction of an Intelligent System for Hydropower Management Informatization in Colleges Based on Particle Bee Colony Bionic Algorithm","authors":"Lin Chen, Ping Li","doi":"10.1109/ACEDPI58926.2023.00025","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00025","url":null,"abstract":"With the rapid burgeon of superior schooling, the construction of hydropower intelligence and message management in colleges is becoming more and more important. The relative lag in the burgeon of hydropower in colleges is one of the bottlenecks restricting the burgeon of colleges. At present, the whole world is facing the crisis of lack of hydropower resources. In the management of colleges, due to the characteristics of large crowds and regular work and rest hours, the intelligent management system of hydropower has innate application conditions. The burgeon trend of infrastructure construction. Under the background of rapid burgeon and progress of superior schooling, hydropower management in colleges needs to gradually realize informatization and intelligence. Otherwise, the problem of energy load demand restricting the burgeon of teaching and scientific research will occur, and at the same time, it will seriously delay the effective level of informatization management in colleges. improve. The means used in this paper is the particle bee colony bionic algorithm, which makes the iterative search process of the algorithm a process of continuously using the individual extreme value and the group extreme value to modify the optimization search process, and realizes the message exchange and mutual cooperation between the individual and the group.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134195378","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

Intelligent Scheduling Algorithm of Enterprise Human Resources Based on Data Analysis 基于数据分析的企业人力资源智能调度算法

2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI) Pub Date : 2023-04-01 DOI: 10.1109/ACEDPI58926.2023.00068

C. Huang

{"title":"Intelligent Scheduling Algorithm of Enterprise Human Resources Based on Data Analysis","authors":"C. Huang","doi":"10.1109/ACEDPI58926.2023.00068","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00068","url":null,"abstract":"Human resource management is an important part of enterprise management. Strengthening human resource management is an important measure to improve the efficiency of personnel use and reduce personnel costs. Because the traditional intelligent planning algorithm dynamic planning is not perfect and the calculation time is too long, this paper mainly discusses the intelligent enterprise human resource planning algorithm based on big data. This research realizes the dynamic planning of enterprise human resources by creating a dynamic planning model based on big data, developing the initial priority table of intelligent planning algorithm, and representing the intelligent planning algorithm based on the priority table. The experimental results show that compared with the traditional algorithm, the algorithm proposed in this study has a greater computational speed advantage, and the average running time is reduced by 6.96 seconds. Therefore, the intelligent scheduling algorithm of enterprise human resources based on data analysis can help reduce many burdens of enterprise human resources scheduling problems based on big data.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"339 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114072832","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

Intelligent Networked Vehicle CAN Network Security 智能网联汽车CAN网络安全

2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI) Pub Date : 2023-04-01 DOI: 10.1109/ACEDPI58926.2023.00084

Rui Sun, Shaojun Zhang, Zhirao Yin, Saoqian Wu, Yufan Chen

引用次数: 0

Data Analysis and Prediction Based on Video Platform 基于视频平台的数据分析与预测

2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI) Pub Date : 2023-04-01 DOI: 10.1109/ACEDPI58926.2023.00060

Yuqing Fan, Hao Guo, Jingyang Li, Jiayi Zhu

{"title":"Data Analysis and Prediction Based on Video Platform","authors":"Yuqing Fan, Hao Guo, Jingyang Li, Jiayi Zhu","doi":"10.1109/ACEDPI58926.2023.00060","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00060","url":null,"abstract":"Nowadays, there are video platforms emerging and data virtualization and prediction on those platforms draw little attention. Related research on it is beneficial for both content creators and advertisers as it helps decision-making. In this study, a video platform in China called Bilibili was selected. This paper acquired the dataset from a number of top-rated video uploaders in their field from a data share website and preprocess them to combine them for each month. For each frame of the data, the number of likes, shares, comments, archives, and bullet charts was used to predict the number of views. In the analysis, this study mainly used random forest and sklearn to achieve the prediction. 368 data points were utilized, and in each data point the amount of favorite, share, save and play are combined to make the prediction. The prediction that is made by using random forest is much more realistic than that made by using sklearn because some of the statistics in the sklearn graph reach negative, which is not realistic in the real situation. According to the experimental results, it can be found that the play rate has a positive relationship with the amount of favorite which is the most important factor in play rate. The amount of share is the secondary factor, and the least effective factor is the amount of collecting.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"213 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114225611","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

Intelligent Analysis of Sports Video Based on Fuzzy Clustering Algorithm 基于模糊聚类算法的体育视频智能分析

2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI) Pub Date : 2023-04-01 DOI: 10.1109/ACEDPI58926.2023.00024

Haixia Liu, Yonggang Wang

{"title":"Intelligent Analysis of Sports Video Based on Fuzzy Clustering Algorithm","authors":"Haixia Liu, Yonggang Wang","doi":"10.1109/ACEDPI58926.2023.00024","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00024","url":null,"abstract":"Because of its huge commercial value and broad application prospects, sports video analysis has attracted extensive attention from researchers at home and abroad, and has become a hot research topic in the field of multimedia. The work of this paper mainly focuses on the extraction of midlevel features of sports videos and the detection and extraction of highlights based on multimodal feature fusion, and on this basis, the exploration of personalized customization is carried out. Drawing on the basic ideas of natural language processing, we the rule-based sports video analysis method is studied, and a grammar-based video analysis system is proposed. First, we decompose the video stream into a basic sequence of shots; then, through event detection, we assign a semantic label to each shot to form a sequence of tokens; finally, through parsing and verification, we generate a directory hierarchy for the video. Compared to existing video analysis systems, our system is not only able to annotate semantic events, but also recognize the hierarchical structure of sports games. Experiments show that with multimodal fusion, our method is better able to handle semantic events in sports videos. On the basis of video semantic analysis and annotation, some exploratory research on personalized customization is carried out, and a set of sports video personalized customization system based on mobile platform is developed, which provides convenient and fast sports video personalization for mobile device users. Customized service.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114709588","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 Machine Learning in Navigation Simula 机器学习在导航仿真中的应用

2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI) Pub Date : 2023-04-01 DOI: 10.1109/ACEDPI58926.2023.00089

Tao Wang

{"title":"Application of Machine Learning in Navigation Simula","authors":"Tao Wang","doi":"10.1109/ACEDPI58926.2023.00089","DOIUrl":"https://doi.org/10.1109/ACEDPI58926.2023.00089","url":null,"abstract":"Ship fire accidents and losses are increasing year by year. Various types of ship fire and explosion accidents occur frequently, resulting in a large number of property losses and casualties. As the ship fire accident is a small probability event, it is limited to rely solely on the experience gained in the actual fire accident. The training environment of traditional fire training institutions is very different from that of ship fire training. As ships often travel in waters far away from land, the rescue of ship fires can only rely on the ship’s own fire-fighting system. The ship fire protection system plays the role of real-time monitoring the fire situation and timely starting the fire linkage equipment, which is conducive to timely finding and extinguishing the initial fire. The ship intelligent fire-fighting real-time monitoring and alarm system carries out early fire detection in the cabin, correctly judges the time and location of the fire, actively alarms, timely transmits relevant information to the main control computer, and cooperatively controls auxiliary fire-fighting equipment such as sprinkler system, fan and fire curtain to assist personnel in extinguishing the fire.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114797490","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