数据挖掘  >> Vol. 2 No. 1 (January 2012)

基于逐步判别分析的血液气味识别
Recognization of Blood Odor Based on Stepwise Discrimination Analysis

DOI: 10.12677/hjdm.2012.21001, PDF, HTML, XML,  被引量 下载: 8,013  浏览: 21,288  科研立项经费支持

作者: 龙成生*, 王辛, 吴德华, 张汇东, 强京宁:公安部南京警犬研究所,南京

关键词: 模式识别血液气味逐步判别分析Matlab
Pattern Recognization; Blood Odor; Stepwise Discrimination Analysis; Matlab

摘要: 本文以血液气味色谱为基础,利用逐步判别分析法建立了血液气味识别模型,并对血液气味识别模型的建立进行了详细描述。以Matlab为计算工具,编写了血液气味识别模型的代码。以人体血液与犬、鸡的血液为例,讨论了血液气味识别模型的使用方法。血液气味识别模型能够正确区分人体血液与动物血液。
Abstract: A model for recognization of blood odor based on stepwise discrimination analysis was established and the features come from the chromatographs of blood samples. The model was described in detail and its code was compiled by means of Matlab. The human blood and animal blood samples were used to train and test the model, which detailed the usage of the model. The results demonstrated that samples from different species could be distinguished.

文章引用: 龙成生, 王辛, 吴德华, 张汇东, 强京宁. 基于逐步判别分析的血液气味识别[J]. 数据挖掘, 2012, 2(1): 1-5. http://dx.doi.org/10.12677/hjdm.2012.21001

参考文献

[1] 温贤章, 范晓杰, 牛焕民. 血迹犬在现场工作中的应用与研究[A]. 第十三次全国养犬学术研讨会论文集[C], 北京: 中国畜牧兽医学会, 2009: 593-596.
[2] 李维福. 搜索微量血迹气味训练可行性探讨[J]. 中国工作犬业, 2011, 2: 24-25.
[3] 刘凤义. 犬在血迹搜索训练中的要点[J]. 中国工作犬业, 2010, 4: 21.
[4] 董继霖. 浅谈血迹搜索犬的训练及使用[J]. 中国工作犬业, 2011, 27(2): 26-28.
[5] G. Horvath, H. Andersson and G. Paulsson. Characteristic odour in the blood reveals ovarian carcinoma. BMC Cancer, 2010, 10(1): 643.
[6] Y. S. Lin, P. P. Egeghy and S. M. Rappaport. Relationships between levels of volatile organic compounds in air and blood from the general population. Journal of Exposure Science & Environmental Epidemiology, 2008, 18(4): 421-429.
[7] 张学工. 模式识别[M]. 北京: 清大学出版社, 2010.
[8] Y. Wen, L. H. He and P. F. Shi. Face recognition using difference vector plus KPCA. Digital Signal Processing, 2012, 22(1): 140-146.
[9] A. Daemen, D. Timmerman, T. Van Den Bosch, et al. Improved modeling of clinical data with kernel methods. Artificial Intel- ligence in Medicine[URL], 2011. http://www.sciencedirect.com/science/article/pii/S0933365711001448#FCANote
[10] D. S. Cao, Y. Z. Liang, Q. S. Xu, et al. Exploring nonlinear rela- tionships in chemical data using kernel-based methods. Chemo- metrics and Intelligent Laboratory Systems, 2011, 107(1): 106-115.
[11] W. Ye and R. T. Robbins. Stepwise and canonical discriminant analysis of longidorus species (nematoda: Longidoridae) from arkansas. Journal of Nematology, 2004, 36(4): 449-456.
[12] C. Simo, P. J. Martin-Alvarez, C. Barbas, et al. Application of stepwise discriminant analysis to classify commercial orange juices using chiral micellar electrokinetic chromatography-laser induced fluorescence data of amino acids. Electrophoresis, 2004, 16(25): 2885-2891.
[13] 许禄, 邵学广. 化学计量学方法(第二版)[M]. 北京: 科学出版社, 2004.