基于强化学习的CSMA/CA MAC协议性能增强

Q3 Engineering
김태욱, Hwang Gyung-Ho
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引用次数: 3

摘要

在此,我们提出了一个文档分析系统,用于分析转换为XML(可扩展标记语言)格式的论文或报告。它读取用户指定的文档,从文档中提取关键字,并比较关键字的频率来提取前三个关键字。它维护包含关键字的段落的顺序,并删除重复的段落。重新验证提取的段落中前三个关键词的频率,并将段落划分为10个部分。随后,计算并比较相关区域的重要性。通过向用户通知具有最高频率的区域和具有比平均频率更高重要性的区域,用户可以只读取主要内容而不读取所有内容。此外,还预测了通过深度学习模型提取的段落数量和高重要性部分中的段落数量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance Enhancement of CSMA/CA MAC Protocol Based on Reinforcement Learning
Herein, we propose a document analysis system that analyzes papers or reports transformed into XML(Extensible Markup Language) format. It reads the document specified by the user, extracts keywords from the document, and compares the frequency of keywords to extract the top-three keywords. It maintains the order of the paragraphs containing the keywords and removes duplicated paragraphs. The frequency of the top-three keywords in the extracted paragraphs is re-verified, and the paragraphs are partitioned into 10 sections. Subsequently, the importance of the relevant areas is calculated and compared. By notifying the user of areas with the highest frequency and areas with higher importance than the average frequency, the user can read only the main content without reading all the contents. In addition, the number of paragraphs extracted through the deep learning model and the number of paragraphs in a section of high importance are predicted.
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来源期刊
CiteScore
1.10
自引率
0.00%
发文量
12
期刊介绍: Journal of Information and Communication Convergence Engineering (J. Inf. Commun. Converg. Eng., JICCE) is an official English journal of the Korea Institute of Information and Communication Engineering (KIICE). It is an international, peer reviewed, and open access journal that is published quarterly in March, June, September, and December. Its objective is to provide rapid publications of original and significant contributions and it covers all areas related to information and communication convergence engineering including the following areas: communication system and applications, networking and services, intelligent information system, multimedia and digital convergence, semiconductors and communication devices, imaging and biomedical engineering, and computer vision and autonomous vehicles.
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