Specifications

Document type: Conference article (CA)
Conference name: 2013 2nd International Conference on Manufacturing Engineering and
Process, ICMEP 2013
Conference date: April 13, 2013 - April 14, 2013
Conference location: Vancouver, BC, Canada
Conference code: 97674
Sponsor: Science and Engineering Institute; University of Ontario Institute of Technology
(UOIT), Canada
Publisher: Trans Tech Publications Ltd, Kreuzstrasse 10, Zurich-Durnten, CH-8635,
Switzerland
Abstract: Based on the palm bio-impedance spectroscopy (BIS) features, this paper suggests
a kind of feature extraction algorithm suitable for the palm BIS. The palm BIS under the
multi-frequency is measured, a wavelet transform with the characteristics of multi-resolution
analysis is selected; each set of palm BIS data is discomposed; the feature subset of wavelet
coefficients with the different dimensions is extracted;and then the support vector machine is
used to carry out the matching judgment. The testing results indicate that the correct rate of the
palm BIS feature extraction algorithm based on the wavelet transform is 91%, and its error rate is
9%,whereby testifying that this algorithm is of an excellent robustness. © (2013) Trans Tech
Publications, Switzerland.
Number of references: 4
Main heading: Wavelet transforms
Controlled terms: Algorithms - Feature extraction - Industrial
engineering - Spectroscopy
Uncontrolled terms: A-wavelet transform - Bio-Impedance spectroscopies - Error
rate - Feature extraction algorithms - Feature subset - Multi frequency - Wavelet
coefficients
Classification code: 716 Telecommunication; Radar, Radio and Television - 723 Computer
Software, Data Handling and Applications - 801 Chemistry - 912.1 Industrial
Engineering - 921 Mathematics - 921.3 Mathematical Transformations
Database: Compendex
Compilation and indexing terms, © 2013 Elsevier Inc.
10.
Accession number: 20132916512422
Title: Analysis and research of the RSA algorithm
Authors: Qi, Na1 ; Wei, Wei2 ; Zhang, Jing2 ; Wang, Wei2 ; Zhao, Jinwei2 ; Li, Junhuai2 ;
Shen, Peiyi3 ; Yin, Xiaoyan4 ; Xiao, Xiangrong5 ; Hu, Jie2/;魏嵬;张璟;王伟;;李军怀
Author affiliation:
1 Department of Information Engineering, Shaanxi Polytechnic Institute, Shaanxi, Xian'yang,
712000, China
2 School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048,
China
3 National School of Software, Xidian University, 710071, Xi'an, Shaanxi, China
4 Department of Computer Science and Technology, Northwest University, Xi'an 710127,
China