2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)最新文献_第9页

Chinese Personalized Course Content Push Algorithm in Online Vocational Education Based on Big Data 基于大数据的在线职业教育中文个性化课程内容推送算法

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10150656

Wu Yunmin, Chang Chaoying, Ao YouLi, Xu Min, P. Pareek

{"title":"Chinese Personalized Course Content Push Algorithm in Online Vocational Education Based on Big Data","authors":"Wu Yunmin, Chang Chaoying, Ao YouLi, Xu Min, P. Pareek","doi":"10.1109/ICDCECE57866.2023.10150656","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10150656","url":null,"abstract":"In the past, most vocational education courses were provided by teachers and had to be learned in traditional ways. However, with the development of technology, online vocational education is becoming more and more popular. Using big data analysis can help us provide students with personalized course content according to their learning needs. This article aims to explore how big data analysis can be applied to online vocational education and how to improve students' academic performance. Using big data in vocational education can help us analyze students' learning behaviors and preferences, and provide personalized content according to their needs. Use big data analysis to generate personalized course content based on learners' learning behavior. This article proposes a personalized course content push algorithm based on big data for online vocational education that can provide refined and high-quality course resources, automatically identify learning needs based on learners' characteristic information, dynamically and adaptively present personalized learning activity sequences, and implement accurate content push, thereby improving students' learning efficiency and saving learning time. It includes the following steps: Based on personalized learning by students receiving vocational education, a personalized teaching service system framework for vocational education is constructed from four parts: a learning situation model, a professional model, an adaptive engine, and a presentation model; Adaptively recommend learning content, learning activity sequences, and knowledge tree structure suitable for learners based on the learning situation model and professional model, and display them on the page; At the same time, it can modify the learning behavior history of learners, maintain the learning situation model, and improve the accuracy of the learning situation model.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116258915","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

Data Analysis of E-Commerce Precision Marketing System Based on Artificial Intelligence Algorithm 基于人工智能算法的电子商务精准营销系统数据分析

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10150655

Jinfu Zhu

{"title":"Data Analysis of E-Commerce Precision Marketing System Based on Artificial Intelligence Algorithm","authors":"Jinfu Zhu","doi":"10.1109/ICDCECE57866.2023.10150655","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10150655","url":null,"abstract":"With the application of the Internet, big data and artificial intelligence technology in precision marketing, the outreach of precision marketing is expanding, and various marketing methods and marketing forms are constantly flocking to the market. The purpose of this paper is to study the data analysis of e-commerce precision marketing system based on artificial intelligence algorithm. Based on artificial intelligence, the current situation of e-commerce precision marketing is analysed to identify the problems in building or using big data of users for precision marketing. Combining technologies such as user portraits, BP neural networks and recommendation algorithms, we focus on all-round identification of users, segmentation of user groups, and then marketing according to user needs to bring users a good user experience and increase corporate profits. The research results show that through the rational use of artificial intelligence algorithms, users can accurately predict their purchasing behavior, and conduct personalized recommendation and marketing based on their needs and preferences. The data analysis of e-commerce precision marketing system based on artificial intelligence algorithms has played an important role in improving the level of enterprise precision operations, achieving precision marketing, and mining user value, and has a broad application prospect.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123244559","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-information Collaborative Model of Urban Public Health Emergency Management Based on Bayesian Algorithm 基于贝叶斯算法的城市公共卫生应急管理多信息协同模型

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10151274

Lijun Sun, Dan Li

{"title":"Multi-information Collaborative Model of Urban Public Health Emergency Management Based on Bayesian Algorithm","authors":"Lijun Sun, Dan Li","doi":"10.1109/ICDCECE57866.2023.10151274","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10151274","url":null,"abstract":"Urban public health emergency management is a series of measures taken by the government to maintain and promote social stability and development. After the occurrence of an emergency, relevant systems are established and improved to ensure public safety. This paper first introduces the background and significance of the research, as well as the mature theoretical basis for the construction of urban government’s response to sudden disasters and emergency response capacity at home and abroad. On this basis, a dynamic response model of urban public health based on Bayesian network is proposed for analysis and research. The final test results show that the urban emergency rescue system based on Bayesian algorithm has better effect than the traditional prediction method relying on a single node, with rapid operation time and small error in information synchronization time. Under this application mode, a whole composed of multiple nodes is established to simulate the management and control of various government departments when an emergency occurs.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125390621","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

Influence of Perceived Credibility of Online Reviews on Consumers’ Purchase Intentions in Travel E-Commerce Platforms 在线评论可信度感知对旅游电子商务平台消费者购买意愿的影响

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10150576

Yang Yang, Feng Gong

{"title":"Influence of Perceived Credibility of Online Reviews on Consumers’ Purchase Intentions in Travel E-Commerce Platforms","authors":"Yang Yang, Feng Gong","doi":"10.1109/ICDCECE57866.2023.10150576","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10150576","url":null,"abstract":"In the context of Internet purchase, online reviews become an important reference information for consumers to make travel arrangements. And perceived credibility is the determinant of whether online reviews are adopted or not. Based on SMCR theory, this paper introduces a mediator variable - perceived credibility into tourism products. The maximum likelihood estimation method and spss process are used to empiricately reveal the influence mechanism of perceived credibility of online reviews on the online purchase intention of tourism consumers. The research shows：(1)The vast majority of travel consumers trust online reviews;(2)Four influencing factors of credibility to be verified are extracted from the four elements of communication process: source, message, channel and receiver, the influence degree of these factors is clarified.;(3)The information source, information quality, emotional tendency and platform trust of online reviews have important effects on purchase intention, perceived credibility plays a mediating role in the influencing mechanism; (4)Among them, information quality and platform trust have the largest impact on online purchase intention, and emotional tendency has the smallest impact, which needs to stimulate consumers 'purchase desire through the mediator variable of perceived credibility; (5)Emotional tendency and platform trust are the most important dimensions affecting perceived credibility, moreover, platform trust has the greatest impact on perceived credibility.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121160575","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 Novel Method of Support Vector Machine for the Evaluation and Optimization of Financial Management 财务管理评价与优化的支持向量机新方法

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10151179

Yuping Zhu

{"title":"A Novel Method of Support Vector Machine for the Evaluation and Optimization of Financial Management","authors":"Yuping Zhu","doi":"10.1109/ICDCECE57866.2023.10151179","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10151179","url":null,"abstract":"Evaluation optimization is the major content of financial management, but in the evaluation and optimization process, the number of financial data and evaluation means will affect the outputs, decrease the accuracy of evaluation optimization, and lead to errors in optimization results. Rest on this, this paper develops a support vector machine technique to evaluate and optimize financial management, maximize the level of financial management, and shrink the evaluation and optimization time. Then, a comprehensive assessment of financial management is carried out. Finally, vector computing manages evaluation optimization and outputs the optimization outputs. The simulation outputs of MATLAB represent that the support vector machine method can accurately evaluate and optimize, improve the level of financial management, and the evaluation and optimization accuracy is more significant than 92%, which is better than the vector calculation method. At the same time, the results of the support vector machine technique developed in this paper have a small change range, less than 3.6%, which is superior to the original calculation method. In addition, in the financial management, support vector machine method for data processing time is less than 5 seconds, better than manual evaluation method. Therefore, the support vector machine method can meet the evaluation necessity of financial management and is perfect for optimal financial management analysis.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128935646","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

Key Technologies in Computer Algorithm Dynamics Based on Front-end and Front-end Separation System 基于前端与前端分离系统的计算机算法动力学关键技术

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10150518

Qingrong Yang

{"title":"Key Technologies in Computer Algorithm Dynamics Based on Front-end and Front-end Separation System","authors":"Qingrong Yang","doi":"10.1109/ICDCECE57866.2023.10150518","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10150518","url":null,"abstract":"In the theoretical research and simulation experiment of computer, the front and rear end separation technology is widely used. In this paper, continuous media is modeled and dynamically simulated based on C # language. In order to facilitate the effective storage and management of some data, it is important to study the key technologies of the method of separating the front and back ends. In this paper, the computer dynamic algorithm and key technology of the front and back-end separation system are studied by using experimental comparison and encryption methods. The experimental data shows that the number of data packets optimized by the front and rear separation system is only 1% - 2%, and the loading time is about 3%. The system adopts the front and rear end separation architecture, the dynamic algorithm, data visualization and multi-language support and other technical means, making the algorithm development more flexible and efficient, and can meet the personalized needs of users. In addition, the system also provides a platform for algorithm researchers to communicate and share, which can promote the development and popularization of algorithm research.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128365851","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

Discussion on the Application of Computer Music Production System in College Music Teaching 浅谈计算机音乐制作系统在高校音乐教学中的应用

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10151095

Yanan Liu

{"title":"Discussion on the Application of Computer Music Production System in College Music Teaching","authors":"Yanan Liu","doi":"10.1109/ICDCECE57866.2023.10151095","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10151095","url":null,"abstract":"This paper aims to explore the application of computer music production system in college music teaching. Nowadays, the application of computers in education is very common. Computers make our life easier and more convenient, but they also bring some disadvantages, such as the increased workload of teachers and students. In this article, I will discuss the advantages and disadvantages of using computers in education, how to effectively use computers in college music teaching, and how to improve computers to make them more effective for future students. Computer music technology is a new comprehensive discipline integrating computer technology and music technology theory. The composition of computer music system and the use of music software commonly used in computer music system. The application of computer music in music teaching in colleges and universities includes the application in the course of composition technology theory, music basic theory, vocal music, instrumental music teaching and extracurricular music practice. The expansion of thinking space and concepts brought by computer music to modern music production. It includes the application of computer music by composers in creation and performance.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130257877","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

Framework of Cable Intelligent Maintenance Based on Big Data Analysis 基于大数据分析的电缆智能维护框架

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10151043

Jianjian Hou, Chen Chen, Chanjuan Wang, Wenjun He, Junhua Song, Yulin Li

{"title":"Framework of Cable Intelligent Maintenance Based on Big Data Analysis","authors":"Jianjian Hou, Chen Chen, Chanjuan Wang, Wenjun He, Junhua Song, Yulin Li","doi":"10.1109/ICDCECE57866.2023.10151043","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10151043","url":null,"abstract":"For electric power companies, more and more data are stored in real-time databases through DAS and DCS systems. Using big data to analyze historical data can predict energy development trends and provide effective decision-making basis and future cable maintenance. work and maintenance etc. This paper proposes a risk assessment method for cable overhaul, that is, the estimated untreated risk is expressed by multiplying the post-treatment result by the failure rate. Comparing the results of an overhaul with the estimated risk of not overhauling provides the most decision-making results. This paper constructs a cable maintenance status evaluation management system based on big data, including the responsibility system, process system, control system and information management system of cable maintenance, in order to provide assistance for power development and increase the economic benefits of power companies. In this paper, the fundamentals of the mechanical properties of the elongation at break of cable fiber materials at different temperatures are investigated. Experimental studies show that the aging time and elongation at break of the XLPE sample cable at 140 °C to the critical reaction point are 26 days and 589%, respectively. The inflection point aging time is 13 days at 150 °C and 160 °C. Due to the effect of high-temperature aging, the mechanical properties of XLPE samples are severely damaged in a short period of time.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128171326","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

The Synergetic Effect of Association Rule Mining Algorithm between E-Commerce and Digital Economy 电子商务与数字经济之间关联规则挖掘算法的协同效应

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10150602

Yitong Jiang

{"title":"The Synergetic Effect of Association Rule Mining Algorithm between E-Commerce and Digital Economy","authors":"Yitong Jiang","doi":"10.1109/ICDCECE57866.2023.10150602","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10150602","url":null,"abstract":"With the development of the times, people's lifestyles are constantly changing. The Internet has become an integral part of people's lives and its use is becoming increasingly popular. The Internet has also dabbled in various industries, making today's society more connected with information and a better consumer experience through the Internet, and the behaviour and activities of Internet users can be data-driven. As a result, the data generated by internet users is massively inflated. The processing of data and information plays an exceptionally important role in business decision-making. This paper proposes the synergistic linkage effect of association rule mining algorithms between e-commerce and the digital economy for enterprises dealing with association rule mining in the era of big data. The paper first explains and defines each term such as association rule algorithm, e-commerce and digital economy, then conducts experiments to analyse the impact of the algorithm on the economy, and finally demonstrates through experiments that association rule mining algorithms play a beneficial role between e-commerce and digital economy. Thus, association rule mining algorithms are a technology worthy of research.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126148950","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

Wireless Charging and BMS for Optimizing Electric Vehicle Charging and Battery Management 优化电动汽车充电和电池管理的无线充电和BMS

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10150496

Mohammed Irfan Ahamed.M, S. Mateen, Arun Savadi, Abdul Lateef Haroon P S, S. Naushad

{"title":"Wireless Charging and BMS for Optimizing Electric Vehicle Charging and Battery Management","authors":"Mohammed Irfan Ahamed.M, S. Mateen, Arun Savadi, Abdul Lateef Haroon P S, S. Naushad","doi":"10.1109/ICDCECE57866.2023.10150496","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10150496","url":null,"abstract":"Dynamic wireless charging is an innovative technology that enables electric vehicles (EVs) to charge their batteries wirelessly while driving on the road. This technology offers numerous advantages over traditional stationary charging methods, such as eliminating the need for frequent stops to recharge and enabling EVs to travel longer distances. In addition, Bluetooth Low Energy (BLE) wireless battery management system (BMS). have been developed to wirelessly monitor and optimize the charging process, further enhancing the efficiency and safety of dynamic wireless charging. This paper presents dynamic wireless charging with wireless BMS, which will dynamically adjust the charging power level and maintain the charging status of the battery, based on the battery state of charge (SOC) and the charging requirements. The system uses a high-frequency inverter for power transmission and an active front-end rectifier for power conversion, which improves the efficiency of the charging process. The BLE wireless BMS provides real-time data on the battery condition and enables communication with the charging system for optimal charging. The simulation results show that the proposed system can achieve efficient and stable wireless charging of EVs, and can provide a flexible and convenient charging experience for EV Proprietors.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127342760","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