The application of artificial intelligence and virtual reality in the auxiliary teaching of American science fiction literature

IF 1.5 Q2 COMPUTER SCIENCE, THEORY & METHODS

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-06-14 DOI:10.3233/JIFS-219146

Jin Xu, Tong Li

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引用次数: 6

Abstract

In order to improve the teaching effect of American science fiction literature, based on artificial intelligence virtual reality technology, this paper constructs an auxiliary teaching system of intelligent American science fiction literature. Moreover, this paper analyzes the time complexity and space complexity of constructing point cloud spatial topological relations and finding the nearest k neighboring points. Simultaneously, this paper uses CUDA to find k nearest neighbors on the GPU, analyzes the point cloud denoising technology, uses the KD-tree to construct the point cloud topology in the DBSCAN-based denoising method, searches for the k nearest neighbors to complete the mark of the core point and the boundary point. In addition, this paper combines artificial intelligence virtual technology and intelligent algorithms to construct the framework of the auxiliary teaching system of American science fiction literature, and analyze its functional modules. Finally, this paper designs experiments to verify the performance of the model. The research results show that the system constructed in this paper can meet the needs of auxiliary teaching of American science fiction literature.

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人工智能与虚拟现实在美国科幻文学辅助教学中的应用

为了提高美国科幻文学的教学效果，本文基于人工智能虚拟现实技术，构建了智能美国科幻文学辅助教学系统。此外，本文还分析了构建点云空间拓扑关系和寻找最近的k个相邻点的时间复杂度和空间复杂度。同时，利用CUDA在GPU上寻找k个最近邻，分析点云去噪技术，在基于dbscan的去噪方法中利用KD-tree构造点云拓扑，搜索k个最近邻完成核心点和边界点的标记。此外，本文结合人工智能虚拟技术和智能算法构建了美国科幻文学辅助教学系统的框架，并对其功能模块进行了分析。最后，本文设计了实验来验证模型的性能。研究结果表明，本文构建的系统能够满足美国科幻文学辅助教学的需要。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Fuzzy Logic and Intelligent Systems COMPUTER SCIENCE, THEORY & METHODS-

CiteScore

2.80

自引率

23.10%

发文量

期刊介绍： The International Journal of Fuzzy Logic and Intelligent Systems (pISSN 1598-2645, eISSN 2093-744X) is published quarterly by the Korean Institute of Intelligent Systems. The official title of the journal is International Journal of Fuzzy Logic and Intelligent Systems and the abbreviated title is Int. J. Fuzzy Log. Intell. Syst. Some, or all, of the articles in the journal are indexed in SCOPUS, Korea Citation Index (KCI), DOI/CrossrRef, DBLP, and Google Scholar. The journal was launched in 2001 and dedicated to the dissemination of well-defined theoretical and empirical studies results that have a potential impact on the realization of intelligent systems based on fuzzy logic and intelligent systems theory. Specific topics include, but are not limited to: a) computational intelligence techniques including fuzzy logic systems, neural networks and evolutionary computation; b) intelligent control, instrumentation and robotics; c) adaptive signal and multimedia processing; d) intelligent information processing including pattern recognition and information processing; e) machine learning and smart systems including data mining and intelligent service practices; f) fuzzy theory and its applications.