作者机构：
[Li, Yu-Hai; Hu, Yan-Hong] Cent China Normal Univ, Dept Informat Management, Wuhan, Hubei, Peoples R China.;[Li, Yu-Hai; Hu, Yan-Hong] Cent China Normal Univ, Coll Vocat & Continuing Educ, Wuhan, Hubei, Peoples R China.;[Zhao, Ming] Yangtze Univ, Sch Comp Sci, Jingzhou, Peoples R China.
通讯机构：
[Li, Yu-Hai] C;Cent China Normal Univ, Dept Informat Management, Wuhan, Hubei, Peoples R China.;Cent China Normal Univ, Coll Vocat & Continuing Educ, Wuhan, Hubei, Peoples R China.
摘要：
This study proposes a method to reduce the carrying amount of Electrocardiogram (ECG) network transmission while preserving the original characteristics of ECG and protecting personal privacy. In watermarking part, we perform the quantization-based digital watermark encryption technology on the ECG signals to protect patient rights and information. In addition, the hidden information can be extracted without the original ECG. In compression part, we adopt the threshold-based compression technology to reduce the data amount of the ECG signal and preserve the original characteristics of ECG signals at the same time. The recovery of the compressed ECG signal adopts cubic spline. Experimental results verify the efficiency of the proposed method.
摘要：
<正>In today’s big science era,the demand for interdisciplinary knowledge service is becoming more and more urgent.However,as an important platform for interdisciplinary knowledge service,digital library still organizes knowledge according to disciplines by taking document as unit,which makes it difficult to break the barrier between disciplines,resulting in the dispersion of knowledge about the same thing in different disciplines.In order to support interdisciplinary research,the knowledge organization method of digital library needs to go deep into interdisciplinary knowledge organization based on knowledge content.
期刊：
Journal of Computers (Taiwan),2018年29(3):188-196 ISSN：1991-1599
通讯作者：
Li, Yu-Hai(yhli@mail.ccnu.edu.cn)
作者机构：
[Li, Yu-Hai; Hu, Yan-Hong] Department of Information Management, Central China Normal University, Wuhan, China;[Xie, Wen-Qi] School of Computer Science, Yangtze University, Jingzhou, China;[Hu, Yan-Hong] College of Vocational and Continuing Education, Central China Normal University, Wuhan, China
通讯机构：
Department of Information Management, Central China Normal University, Wuhan, China
期刊：
Advances in Intelligent Systems and Computing,2018年 733:14-19 ISSN：2194-5357
通讯作者：
Zhao, M.
作者机构：
[Hu Y.-H.] School of Occupational and Continuing Education, Central China Normal University, Wuhan, 430070, China;[Li Y.-H.] School of Information Management, Central China Normal University, Wuhan, 430070, China;[Zhao M.] School of Computer Technology, Yangtze University, Jinzhou, Hubei 434023, China
通讯机构：
[Zhao, M.] S;School of Computer Technology, China
会议论文集名称：
Security with Intelligent Computing and Big-data Services
摘要：
Representation-based classification and recognition, such as face recognition, have dominant performance in dealing with high-dimension data. However, for low-dimension data the classification results are not satisfying. This paper proposes a classification method based on nearest neighbor representation in feature space, which extends representation-based classification to nonlinear feature space, and also remedies its drawback in low-dimension data processing. First of all, the proposed method projects the data into a high-dimension space through a kernel function. Then, the test sample is represented by the linear combination of all training samples and the corresponding coefficients of each training sample will be obtained. Finally, the test sample is assigned to the class of the training sample with a minimum distance. The results of experiments on standard two-class datasets and ORL and YALE face databases show that the algorithm has better classification performance.
摘要：
以Web of ScienceTM核心合集数据库收录的关于图像检索领域研究近十年的论著为基础数据.利用Citespace和Spss软件,对所采集的数据进行共引分析和聚类分析,绘制出图像检索领域的著作机构图谱、文献共被引网络图谱,展示了该领域的研究力量分布,确定了该领域的代表人物、代表作品;同时利用软件提供的词频探测技术绘制出图像检索领域的研究热点知识图谱以及研究前沿与发展知识图谱,揭示了该领域近十年的研究热点、研究前沿及其发展趋势.
