摘要
针对当前图书分类编目工作效率差、图书利用率低等问题,设计基于RFID技术的电子图书分类编目系统。利用RFID读写器提取RFID电子标签内的图书信息,通过USB接口将图书信息传输至服务器内,采用核K-means聚类算法,将样本集映射至高维特征空间,通过迭代优化聚类中心点,实现图书分类功能,根据图书信息与图书分类结果编制图书分类号与目录号,生成图书典藏信息,并通过显示终端呈现给用户。测试分析结果表明,该系统图书信息采集过程收敛速度快,可提升图书借阅量50%以上,降低图书借阅周期25%以上,可提升图书分类编目工作效率与图书利用率。
In view of the inefficiency of book classification and cataloging and the low utilization rate of books at present,an e-book classification and cataloging system based on RFID technology is designed.In the design,the RFID reader is used to extract the book information in RFID tag first,and then the information is transmitted to the server through USB interface.The kernel K-means clustering algorithm is used to map the sample set to the high-dimensional feature space.The clustering center points are optimized by iteration to realize the function of book classification.According to the book information and the classification results,the classification number and catalog number are compiled to generate book reservation information,and then the information is presented to the user by display terminal.The test analysis results show this system has fast convergence speed in the process of book information collection,which can increase the borrowing amount by more than 50%and reduce the borrowing period by more than 25%.Therefore,it can improve the efficiency of book classification and cataloging and the utilization rate of books.
作者
秦珏
QIN Jue(Nanchang University,Nanchang 330031,China;Jiangxi Provincial Library,Nanchang 330046,China)
出处
《现代电子技术》
2021年第7期169-172,共4页
Modern Electronics Technique
关键词
RFID技术
电子标签
信息采集
图书分类
图书编目
核K-means聚类
借阅量
RFID technology
electronic tag
information collection
book classification
book cataloging
kernel K-means clustering
borrowing amount
