Research on Applications of FastICA Algorithm in the Detection of Dangerous Liquids
文献类型:期刊论文
作者 | Zhou, Dongmei1; Qiu, Shi2; Tan, Jiahai2; Li, Xiaofeng1; Chen, Chen1 |
刊名 | INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE |
出版日期 | 2019-02 |
卷号 | 33期号:2 |
ISSN号 | 0218-0014;1793-6381 |
关键词 | Self-adaption Uwb Centimeter Wave Fastica S-parameter Detection Of Dangerous Liquids |
DOI | 10.1142/S0218001419580035 |
产权排序 | 2 |
英文摘要 | In the actual environment of security detection, many kinds of liquids often exist in the same detection background, and their dangerous levels are difficult to identify. Therefore, it is very important to research on identifying the dangerous levels of various liquids. The paper establishes the S-parameter database of tested samples under specific detection environment with free space method. In the actual detection, ultra-wide-band (UWB) centimeter wave is used to measure the S-parameters of several detected liquids first. Then the fast independent component analysis (FastICA) algorithm is used for unmixing the mixed signal by Newton's iteration method and the negative entropy maximization search principle. The unmixed signal matches with the sample database adaptively, so the dangerous levels of the detected liquids are identified. Multiple experiments show that FastICA algorithm can reach a matching rate of 95% between water and 90# gasoline or alcohol and 90# gasoline, it also can reach a matching rate of around 73% between water and alcohol. This algorithm has a quick response and high reliability for identification of dangerous liquids. FastICA algorithm in this paper is applied for detecting the dangerous liquids for the first time, and it has high application value. |
语种 | 英语 |
出版者 | WORLD SCIENTIFIC PUBL CO PTE LTD |
WOS记录号 | WOS:000448268200010 |
源URL | [http://ir.opt.ac.cn/handle/181661/30691] |
专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
通讯作者 | Qiu, Shi |
作者单位 | 1.Chengdu Univ Technol, Coll Informat Sci & Technol, Chengdu 610059, Sichuan, Peoples R China 2.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China |
推荐引用方式 GB/T 7714 | Zhou, Dongmei,Qiu, Shi,Tan, Jiahai,et al. Research on Applications of FastICA Algorithm in the Detection of Dangerous Liquids[J]. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE,2019,33(2). |
APA | Zhou, Dongmei,Qiu, Shi,Tan, Jiahai,Li, Xiaofeng,&Chen, Chen.(2019).Research on Applications of FastICA Algorithm in the Detection of Dangerous Liquids.INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE,33(2). |
MLA | Zhou, Dongmei,et al."Research on Applications of FastICA Algorithm in the Detection of Dangerous Liquids".INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE 33.2(2019). |
入库方式: OAI收割
来源:西安光学精密机械研究所
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