{"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":null,"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":0.0000,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDCECE57866.2023.10150518","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.