﻿<?xml version="1.0" encoding="utf-8"?><doi_batch xmlns="http://www.crossref.org/schema/4.3.7" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.crossref.org/schema/4.3.7 http://www.crossref.org/schema/deposit/crossref4.3.7.xsd"><head><doi_batch_id>ijece-1405022920</doi_batch_id><timestamp>14050229203054</timestamp><depositor><depositor_name>CMV Verlag</depositor_name><email_address>khoffmann@cmv-verlag.com</email_address></depositor><registrant>CMV Verlag</registrant></head><body><journal><journal_metadata language="fa"><full_title>Nashriyyah -i Muhandisi -i Barq va Muhandisi -i Kampyutar -i Iran</full_title><abbrev_title>ijece</abbrev_title><issn media_type="electronic">16823745</issn></journal_metadata><journal_issue><publication_date media_type="online"><month>12</month><day>21</day><year>2010</year></publication_date><journal_volume><volume>8</volume></journal_volume><issue>4</issue></journal_issue><journal_article publication_type="full_text"><titles><title>Accuracy and Speed Performance Improvement in Speaker Verification Using Genetic Programming</title></titles><contributors><person_name contributor_role="author" sequence="first"><given_name>S. S.</given_name><surname>Sadat Sadidpour</surname></person_name><person_name contributor_role="author" sequence="additional"><given_name>M. M.</given_name><surname>Homayounpour</surname></person_name><person_name contributor_role="author" sequence="additional"><given_name>M.</given_name><surname>Fasanghari</surname></person_name></contributors><publication_date media_type="online"><month>12</month><day>21</day><year>2010</year></publication_date><pages><first_page>223</first_page><last_page>235</last_page></pages><doi_data><doi>10.66224/ijece.27990.8.4.223</doi><resource>http://ijece.org/fa/Article/27990</resource><collection property="crawler-based"><item crawler="iParadigms"><resource>http://ijece.org/fa/Article/Download/27990</resource></item><item crawler="google"><resource>http://ijece.org/fa/Article/Download/27990</resource></item><item crawler="msn"><resource>http://ijece.org/fa/Article/Download/27990</resource></item><item crawler="altavista"><resource>http://ijece.org/fa/Article/Download/27990</resource></item><item crawler="yahoo"><resource>http://ijece.org/fa/Article/Download/27990</resource></item><item crawler="scirus"><resource>http://ijece.org/fa/Article/Download/27990</resource></item></collection><collection property="text-mining"><item><resource mime_type="application/pdf">http://ijece.org/fa/Article/Download/27990</resource></item></collection></doi_data><citation_list><citation key="ref1"><unstructured_citation>[1]	P. Day and A. Nandi, "Robust text - independent speaker verification using genetic programming," IEEE Trans. on Audio, Speech, and Language Processing, vol. 15, no. 1, pp. 285-295, Jan. 2007.</unstructured_citation></citation><citation key="ref2"><unstructured_citation>
[2]	J. Campbell, "Speaker recognition: a tutorial," in Proc. IEEE, vol. 85, no. 9, pp. 1437-1462, Sep. 1997.</unstructured_citation></citation><citation key="ref3"><unstructured_citation>
[3]	S. Pruzansky, "Pattern-matching procedure for automatic talker recognition," The Journal of the Acoustical Society of America, vol. 35, no. 3, pp. 354-358, 1963.</unstructured_citation></citation><citation key="ref4"><unstructured_citation>
[4]	P. Bricker, "Statistical techniques for talker identification," Bell System Technical J., vol. 50, no. 4, pp. 1427-1454, Apr. 1971.</unstructured_citation></citation><citation key="ref5"><unstructured_citation>
[5]	K. Li and G. Hughs, "Talker identification as they appear in correlation matrics of continous speech spectral," The J. of the Acoustical Society of America, vol. 55, pp. 833-837, 1974.</unstructured_citation></citation><citation key="ref6"><unstructured_citation>
[6]	M. Sambur, "Speaker recognition and verification using linear prediction analysis," The J. of the Acoustical Society of America, vol. 53, p. 354, 1973.</unstructured_citation></citation><citation key="ref7"><unstructured_citation>
[7]	B. Juang and F. Soong, "Speaker recognition based on source coding," in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, vol. 1, pp. 613-616, 3-6 Apr. 1990.</unstructured_citation></citation><citation key="ref8"><unstructured_citation>
[8]	A. Poritz, "Linear predictive hidden markov models and the speech signal," in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, vol. 2, pp. 1291-1294, May 1982.</unstructured_citation></citation><citation key="ref9"><unstructured_citation>
[9]	B. Furui, "Cepstral analysis technique for automatic speaker verification," IEEE Trans. on Acoust., Speech, and Signal Processing, vol. 29, no. 2, pp. 254-272, Apr. 1981.</unstructured_citation></citation><citation key="ref10"><unstructured_citation>
[10]	T. Ganchev, N. Fakotakis, and G. Kokkinakis, "Comparative evaluation of various MFCC implementations on the speaker verification task," in Proc. 10th Int. Conf. on Speech and Computer, SPECOM, vol. 1, pp. 191-194,Oct. 2005.</unstructured_citation></citation><citation key="ref11"><unstructured_citation>
[11]	M. Siafarikas, T. Ganchev, and N. Fakotak, "Wavelet packet based speaker verification," in Proc. ISCA-ICSLP, vol. 1, pp. 257-264, Toledo, Spain, Jun. 2004.</unstructured_citation></citation><citation key="ref12"><unstructured_citation>
[12]	H. Ezzaidi, J. Rout, and D. Shaughnessy, Combining Pitch and MFCC for Speaker Recognition Systems, University Quebc, Ermetis, Canada, 2001.</unstructured_citation></citation><citation key="ref13"><unstructured_citation>
[13]	D. Reynolds and R. Rose, "Robust text-independent speaker identification using gaussian mixture speaker models," IEEE Trans. on Speech and Audio Processing, vol. 3, no. 1, pp. 72-83, Jan. 1995.</unstructured_citation></citation><citation key="ref14"><unstructured_citation>
[14]	S. Stafford, A Gaussian Mixture Model Based Speaker Verification System That Captures Sequential Information, M. S. Thesis, 2005.</unstructured_citation></citation><citation key="ref15"><unstructured_citation>
[15]	M. Faouzi BenZeghiba and H. Bourlard, "User-customized password speaker verification using multiple reference and background models," Speech Communication, vol. 48, no. 9, pp. 1200-1213, 2006.</unstructured_citation></citation><citation key="ref16"><unstructured_citation>
[16]	S. Adinarayanan, Text-Independent Speaker Verification Using Support Vector Machine, M.Sc. Thesis, Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, 2005.</unstructured_citation></citation><citation key="ref17"><unstructured_citation>
[17]	T. Matsui and S. Furui, "Comparision of text independent Speaker recognition methods using VQ-distortion and discrete/continuous HMMs," in Proc. ICSLP, vol. 2, pp. 157-160, 1992.</unstructured_citation></citation><citation key="ref18"><unstructured_citation>
[18]	Q. Li and B. Juang, "Speaker verification using verbal information verification for automatic enrollment," Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, vol. 1, pp. 650-658, 1998.</unstructured_citation></citation><citation key="ref19"><unstructured_citation>
[19]	X. Li and K. Chen, "Mandarin verbal information verification," in Proc. IEEE Int Conf. on Acoust., Speech, and Signal Processing, vol. 1, pp. 833-836, 13-17 May 2002.</unstructured_citation></citation><citation key="ref20"><unstructured_citation>
[20]	V. Wan, Speaker Verification Using Support Vector Machines, 
Ph. D. Thesis, University of Sheffield, 2003.</unstructured_citation></citation><citation key="ref21"><unstructured_citation>
[21]	D. Reynolds, T. Quatieri, and R. Dunn, "Speaker verification using adapted gaussian mixture models," Digital Signal Processing, vol. 10, no. 1-3, pp. 19-41, Jan. 2000.</unstructured_citation></citation><citation key="ref22"><unstructured_citation>
[22]	Q. Hong and S. Kwong, "A discriminative training approach for text- independent speaker recognition," Signal Processing, vol. 85, no. 7, pp. 1449-1463, Jul. 2005.</unstructured_citation></citation><citation key="ref23"><unstructured_citation>
[23]	V. Hautamaki, T. Kinnunen, I. Karkkainen, J. Saastamoinen, M. Tuononen, and P. Franti, "Maximum a posteriori adaptation of the centroid model for speaker verification," IEEE Signal Processing Letters, vol. 15, pp. 162-165, 2008.</unstructured_citation></citation><citation key="ref24"><unstructured_citation>
[24]	E. Avci, "A new optimum feature extraction and classification method for speaker recognition: GWPNN," Expert Systems with Applications, vol. 32, no. 2, pp. 485-498, Feb. 2007.</unstructured_citation></citation><citation key="ref25"><unstructured_citation>
[25]	K. Faraoun and A. Boukelif, "Artificial immune systems for text -dependent speaker recognition," J. of Computer Science, vol. 5, no. 4, pp. 19-26, Dec. 2006.</unstructured_citation></citation><citation key="ref26"><unstructured_citation>
[26]	R. Wouhaybi and M. Al-Alaoui, "Comparison of neural networks for speaker recognition," in Proc. Sixth IEEE Int. Conf. on Electronics, Circuits and Systems, ICECS'99, vol.1, pp. 125-128, Pafos, Cyprus, Sep. 1999.</unstructured_citation></citation><citation key="ref27"><unstructured_citation>
[27]	S. Lung, "Efficient text independent speaker recognition with wavelet feature selection based multilayered neural network using supervised learning algorithm," Pattern Recognition, vol. 40, no. 10, pp. 3616-3620, Dec. 2007.</unstructured_citation></citation><citation key="ref28"><unstructured_citation>
[28]	K. Markov and S. Nakagawa, "Text - independent speaker recognition using non-linear frame likelihood transformation," Speech Communication, vol. 24, no. 3, pp. 193-209, Jun. 1998.</unstructured_citation></citation><citation key="ref29"><unstructured_citation>
[29]	R. Saeidi, H. Sadegh Mohammadi, and M. Khalaj Amirhosseini, "An efficient GMM classification post-processing method for structural gaussian mixture model based speaker verification," in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing,, vol. 6, pp. 909-912, May 2006.</unstructured_citation></citation><citation key="ref30"><unstructured_citation>
[30]	S. Bengio and J. Mariethoz, "Learning the decision function for speaker verification," in Proc. IEEE Internat. Conf. on Acoust., Speech, and Signal Processing, vol. 1, pp. 425-428, May. 2001.</unstructured_citation></citation><citation key="ref31"><unstructured_citation>
[31]	N. Mirghafori and M. Hebert, "Parameterization of the score the thereshold for s text-dependent adaptive speaker verification system," in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, vol. 1, pp. 361-364, Montreal, Canada, May 2004.</unstructured_citation></citation><citation key="ref32"><unstructured_citation>
[32]	N. Cramer, "A representation for the adaptive generation of simple sequential programs," in Proc. of the 1st Int. Conf. on Genetic Algorithms, vol. 1, pp. 183-187, Jul. 1985.</unstructured_citation></citation><citation key="ref33"><unstructured_citation>
[33]	J. Koza, Genetic Programming: on the Programming of Computers by Means of Natural Selection: MIT Press, 1992.</unstructured_citation></citation><citation key="ref34"><unstructured_citation>
[34]	G. Liai, Z. Shuguang, Z. Yongjie, and L. Lihua, "A new codebook design method based on genetic programming," in Proc. IEEE 8th Int. Conf. on Electronic Measurement and Instruments. ICEMI'2007, vol. 3, pp. 250-253, Aug. 2007.</unstructured_citation></citation><citation key="ref35"><unstructured_citation>
[35]	K-Means Algorithm. Available:http://en.wikipedia.org/wiki/k-means_algorithm</unstructured_citation></citation><citation key="ref36"><unstructured_citation>
[36]	F. Soong, A. Rosenberg, L. Rabiner, and B. Juang, "A vector quantization approach to speaker recognition," in Proc. IEEE Int. Conf. on Acoust., Speech and Signal Process, vol. 1, pp. 387-390, Apr. 1985.</unstructured_citation></citation><citation key="ref37"><unstructured_citation>
[37]	T. Kinnunen, J. Saastamoinen, V. Hautamaki, M. Vinni, and P. Franti, "Comparative evaluation of maximum a posteriori vector quantization and gaussian mixture models in speaker verification," Pattern Recognition Letters, vol. 30, no. 4, pp. 341-347, Mar. 2009.</unstructured_citation></citation><citation key="ref38"><unstructured_citation>
[38]	S. Furui, "Section 1.7: Speaker Recognition," in Survey of the State of the Art in Human Language Technology, ed: Cambridge University Press, 1996.</unstructured_citation></citation><citation key="ref39"><unstructured_citation>
[39]	S. Furui, Digital Speech Processing Synthesis and Recognition, New York: Marcel Dekker Inc., 1989.</unstructured_citation></citation><citation key="ref40"><unstructured_citation>
[40]	R. Ramachandran, K. Farrell, R. Ramachandrana, and R. Mammone, "Speaker recognition-general classifier approaches and data fusion methods," Pattern Recognition, vol. 35, pp. 2801-2821, Dec. 2002.</unstructured_citation></citation><citation key="ref41"><unstructured_citation>
[41]	ع. صادقي نائيني، بازشناسي گوينده مبتني بر هم‌جوشي و فضاي حالت ساخته‌شده از گويندگان ويژه، پايان‌نامه کارشناسي ارشد، دانشکده مهندسي کامپيوتر و فناوري اطلاعات، دانشگاه صنعتي اميرکبير، 1385.</unstructured_citation></citation><citation key="ref42"><unstructured_citation>
[42]	A. Higgins, L. Bahler, and J. Porter, "Speaker verification using randomized phrase prompting," Digital Signal Processing, vol. 1, no. 2, pp. 89-106, 1991.</unstructured_citation></citation><citation key="ref43"><unstructured_citation>
[43]	About FAR, FRR and EER. Available:http://www.bioid.com/sdk/docs/about_eer.htm</unstructured_citation></citation></citation_list></journal_article><journal_article publication_type="full_text"><titles><title>Texture Defect Detection Using Curvelet Transform</title></titles><contributors><person_name contributor_role="author" sequence="first"><given_name>B.</given_name><surname>Moasheri</surname></person_name><person_name contributor_role="author" sequence="additional"><given_name>H.</given_name><surname>Nezamabadi-pour</surname></person_name><person_name contributor_role="author" sequence="additional"><given_name>S.</given_name><surname>Saryazdi</surname></person_name><person_name contributor_role="author" sequence="additional"><given_name>S.</given_name><surname>Azadinia</surname></person_name></contributors><publication_date media_type="online"><month>12</month><day>21</day><year>2010</year></publication_date><pages><first_page>236</first_page><last_page>246</last_page></pages><doi_data><doi>10.66224/ijece.27991.8.4.236</doi><resource>http://ijece.org/fa/Article/27991</resource><collection property="crawler-based"><item crawler="iParadigms"><resource>http://ijece.org/fa/Article/Download/27991</resource></item><item crawler="google"><resource>http://ijece.org/fa/Article/Download/27991</resource></item><item crawler="msn"><resource>http://ijece.org/fa/Article/Download/27991</resource></item><item crawler="altavista"><resource>http://ijece.org/fa/Article/Download/27991</resource></item><item crawler="yahoo"><resource>http://ijece.org/fa/Article/Download/27991</resource></item><item crawler="scirus"><resource>http://ijece.org/fa/Article/Download/27991</resource></item></collection><collection property="text-mining"><item><resource mime_type="application/pdf">http://ijece.org/fa/Article/Download/27991</resource></item></collection></doi_data><citation_list><citation key="ref1"><unstructured_citation>[1]	A. Monadjemi, Towards Efficient Texture Classification and Abnormality Detection, Ph. D. Thesis, Bristol University, Oct. 2004.</unstructured_citation></citation><citation key="ref2"><unstructured_citation>
[2]	H. Yan - Fang and S. Peng-Fei, "Mean shift texture surface detection based on WT and COM feature image selection," J. of Zhejiang University Science A, vol. 7, no. 6, pp. 969-975, ???. 2006.</unstructured_citation></citation><citation key="ref3"><unstructured_citation>
[3]	J. L. Sobral, Leather Inspection Based on Wavelets, Springer - Verlag Berlin Heidelberg, pp. 682-688, 2005.</unstructured_citation></citation><citation key="ref4"><unstructured_citation>
[4]	H. Yan - Fang and S. Peng - Fei, "An adaptive level - selecting wavelet transform for texture defect detection," Image and Vision Computing, vol. 25, no. 8, pp. 1239-1248, Aug. 2007.</unstructured_citation></citation><citation key="ref5"><unstructured_citation>
[5]	X. Xie and M. Mirmehdi, "TEXEMS: texture exemplars for defect detection on random textured surfaces," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 29, no. 8, pp. 1454-1464, Aug. 2007.</unstructured_citation></citation><citation key="ref6"><unstructured_citation>
[6]	P. M. Mahjan, S. R. Kolhe, and P. M. Patil, "A review of automatic fabric defect detection techniques," Advances in Computational Research, vol. 1, no. 2, pp. 18-29, 2009.</unstructured_citation></citation><citation key="ref7"><unstructured_citation>
[7]	C. K. Mohan, M. Vijayaraghavan, and J. Rengarajan, "Real time texture defect detection using sub-band domain feature extraction," Global Signal Processing Expo and Conf., Santa Clara , US, 27-30 Sep. 2004.</unstructured_citation></citation><citation key="ref8"><unstructured_citation>
[8]	A. Latif - Amet, A. Ertuzun, and A. Ercil, "An efficient method for texture defect detection: sub-band domain co-occurrence matrices," Image and Vision Computing, vol. 18, no. 6-7, pp. 543-553, May 2000.</unstructured_citation></citation><citation key="ref9"><unstructured_citation>
[9]	Y. X. Zhi, G. K. H. Pang, and N. H. C. Yung, "Fabric defect detection using adaptive wavelet," in Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, vol. 6, pp. 3697-3700, 7-11 May 2001.</unstructured_citation></citation><citation key="ref10"><unstructured_citation>
[10]	G. Fan and X. G. Xia, "Wavelet - based texture analysis and synthesis using hidden markov models," IEEE Trans. Circuits and Systems, vol. 50, no. 1, pp. 106-120, Jan. 2003.</unstructured_citation></citation><citation key="ref11"><unstructured_citation>
[11]	E. Kulak, Analysis of Textural Image Features for Content Based Retrieval, Master of Science Thesis, Sabanc1 University, Oct. 2002.</unstructured_citation></citation><citation key="ref12"><unstructured_citation>
[12]	M. C. Lee and C. M. Pun, "Texture classification using dominant wavelet packet energy features," in Proc. of 4th IEEE Southwest Symposium on Image Analysis and Interpretation, pp. 301-304, 2-4 Apr. 2000.</unstructured_citation></citation><citation key="ref13"><unstructured_citation>
[13]	A. Latif-Amet, A. Ertuzun, and A. Ercil, "Texture defect detection using subband domain co-occrrence matrices," in Proc. IEEE Southwest Symp. on Image Analysis and Interpretation, pp. 205-210, 5-7 Apr. 1998.</unstructured_citation></citation><citation key="ref14"><unstructured_citation>
[14]	G. Lambert and F. Bock, "Wavelet methods for texture defect detection," in IEEE Proc. of the Int. Conf. on Image Processing, vol. 3, pp. 201-204, 26-29 Oct. 1997.</unstructured_citation></citation><citation key="ref15"><unstructured_citation>
[15]	D. A. Karras and B. G. Mertzios, Improved Defect Detection in Manufacturing Using Novel Multidimensional Wavelet Feature Extraction Involving Vector Quantization and PCA Techniques, Springer - Verlag Berlin Heidelberg, 2002.</unstructured_citation></citation><citation key="ref16"><unstructured_citation>
[16]	D. Comaniciu and P. Meer, "Mean shift: a robust approach toward feature space analysis," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 24, no. 5, pp. 603-619 , May 2002.</unstructured_citation></citation><citation key="ref17"><unstructured_citation>
[17]	J. R. Smith and S. F. Chang, "Transform features for texture classification and discrimination in large image databases," in Proc. IEEE Int. Conf. on Image Proc., vol. 3, pp. 407-411, 13-16 Nov. 1994.</unstructured_citation></citation><citation key="ref18"><unstructured_citation>
[18]	J. R. Smith and S. F. Chang, "Automated binary texture feature sets for image retrieval," in Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, vol.4, pp. 2239-2242, Atlanta, GA, US, 7-10 May 1994.</unstructured_citation></citation><citation key="ref19"><unstructured_citation>
[19]	T. Chang and C. C. J. Kuo, "Texture analysis and classification with tree-structured wavelet transform," IEEE Trans. Image Processing, vol. 2, no. 4, pp. 429-441, Oct. 1993.</unstructured_citation></citation><citation key="ref20"><unstructured_citation>
[20]	A. Kundu and J. L. Chen, "Texture classification using qmf bank - based subband decomposition," Graphical Models and Image Processing, vol. 54, no. 5, pp. 369-384, Sep. 1992.</unstructured_citation></citation><citation key="ref21"><unstructured_citation>
[21]	M. H. Gross, R. Koch, L. Lippert, and A. Dreger, "Multiscale image texture analysis in wavelet spaces," in Proc. IEEE Int. Conf. on Image Processing, vol. 3, pp. 412-416, 13-16 Nov. 1994.</unstructured_citation></citation><citation key="ref22"><unstructured_citation>
[22]	K. S. Thyagarajan, T. Nguyen, and C. Persons, "A maximum likelihood approach to texture classification using wavelet transform," in Proc. IEEE Int. Conf. on Image Proc., vol. 2, pp. 640-644, 13-16 Nov. 1994.</unstructured_citation></citation><citation key="ref23"><unstructured_citation>
[23]	T. Randen and J. H. Husoy, "Filtering for texture classification: a comparative study," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 21, no. 4, pp. 291-310, Apr. 1999.</unstructured_citation></citation><citation key="ref24"><unstructured_citation>
[24]	N. P. N. J. Sargunar and R. Sukanesh, "Texture defect detection technique for MRI knee image," Int. J. of Recent Trends in Engineering, vol. 2, no. 1, pp. 183-187, Nov. 2009.</unstructured_citation></citation><citation key="ref25"><unstructured_citation>
[25]	K. N. Siavabalan and D. Ghanadurai, "Detection of defects in digital texture images using segmentation," Int. J. of Engineering Science and Technology, vol. 2, no. 10, pp. 5187-5191, Oct. 2010.</unstructured_citation></citation><citation key="ref26"><unstructured_citation>
[26]	ع. ر. وحدت و ر. صفابخش، "تشخيص و دسته‌بندي عيوب بافت پارچه به کمک تجزيه موجک،" چهارمين کنفرانس ماشين بينايي و پردازش تصوير ايران، بهمن 1385.</unstructured_citation></citation><citation key="ref27"><unstructured_citation>
[27]	M. Ghazvini, S. A. Monadjemi, N. Movahhedinia, and K. Jamshidi, "Defect detection of tiles using 2D - wavelet transform and statistical features," World Academy of Science, Engineering and Technology, vol. 49, pp. 901-904, Jan. 2009.</unstructured_citation></citation><citation key="ref28"><unstructured_citation>
[28]	N. D. Minh, Directional Multiresolution Image Representations, 
Ph. D Thesis, Oct. 2001.</unstructured_citation></citation><citation key="ref29"><unstructured_citation>
[29]	E. J. Candes and D. L. Donoho, "Ridgelets: a key to higher- dimensional intermittency?" Phil. Trans. Royal Society London, vol. 357, no. 1760, pp. 2495-2509, Sep. 1999.</unstructured_citation></citation><citation key="ref30"><unstructured_citation>
[30]	N. D. Minh and M. Vetterli, "The finite ridgelet transform for image representation," IEEE Trans. on Image Processing, vol. 12, no. 1, pp. 16-28, Jan. 2003.</unstructured_citation></citation><citation key="ref31"><unstructured_citation>
[31]	L. Dettori and L. Semler, "A comparison of wavelet, ridgelet, and curvelet - based texture classification algorithms in computed tomography," Elsevier Computers in Biology and Medicine, vol. 37, no. 4, pp. 486-498, Apr. 2007.</unstructured_citation></citation><citation key="ref32"><unstructured_citation>
[32]	S. Arivazhagan, L. Ganesan, and T. G. Subash Kumar, "Texture classification using ridgelet transform," in Proc. 6th IEEE Int. Conf. on Computational Intelligence and Multimedia Applications, pp. 321-326, 16-18 Aug. 2005.</unstructured_citation></citation><citation key="ref33"><unstructured_citation>
[33]	E. J. Candès, L. Demanet, D. L. Donoho, and L. Ying, "Fast discrete curvelet transforms," Multiscale Modeling and Simulation, vol. 5, no. 3, pp. 861-899, 2005.</unstructured_citation></citation><citation key="ref34"><unstructured_citation>
[34]	E. J. Candès and D. L. Donoho, "Continuous curvelet transform: I. Resolution of the wavefront set," Applied and  Computational Harmonic Analysis, vol. 19, no. 2,  pp. 162-197, Sep. 2005.</unstructured_citation></citation><citation key="ref35"><unstructured_citation>
[35]	ب. رجايي و ح. ر. پوررضا، "طبقه‌بندي بافت مستقل از دوران و مقياس با استفاده از تبديل پيچک،" چهارمين كنفرانس ماشين بينايي و پردازش تصوير ايران، بهمن 1385.</unstructured_citation></citation><citation key="ref36"><unstructured_citation>
[36]	S. Arivazhagan, L. Ganesan, and T. G. Subash Kumar, "Texture classification using curvelet statistical and co - occurrence features," in Proc. 18th IEEE Int. Conf. on Pattern Recognition, vol. 2, pp. 938-941, 2006</unstructured_citation></citation><citation key="ref37"><unstructured_citation>
[37]	L. Semler and L. Dettori, "Curvelet-based texture classification of tissues in computed tomography," in Proc. IEEE Int. Conference on Image Processing, pp. 2165-2168, 8-11 Oct. 2006.</unstructured_citation></citation><citation key="ref38"><unstructured_citation>
[38]	L. Shen and Q. Yin, "Texture classification using curvelet transform," in Proc. Int. Symp. on Information Processing, pp. 319-324, 21-23 Aug. 2009.</unstructured_citation></citation><citation key="ref39"><unstructured_citation>
[39]	ب. م. معاشري، ح. نظام‌آبادي‌پور و س. سريزدي، "تشخيص خرابي بافت به کمک تبديل پيچک،" پنجمين کنفرانس ماشين بينايي، تبريز، ايران، آبان 1387.</unstructured_citation></citation><citation key="ref40"><unstructured_citation>
[40]	ح. محمدتقي‌زاده، ح. نظام‌آبادي‌پور و س. سريزدي، "مقايسه ويژگي‌هاي آماري و معيارهاي عدم شباهت در بازيابي تصوير بر اساس محتوا در حوزه تبديل پيچک،" پانزدهمين کنفرانس سالانه انجمن کامپيوتر ايران، تهران، ايران، اسفند 1388.</unstructured_citation></citation><citation key="ref41"><unstructured_citation>
[41]	M. L. Raymer, W. F. Punch, E. Gooddman, L. A. Kuhn, and A. K. Jain, "Dimentionality reduction using genetic algorithm," IEEE Trans. on Evolutionary Computation, vol. 4, no. 2, pp. 164- 171, Jul. 2000.</unstructured_citation></citation><citation key="ref42"><unstructured_citation>
[42]	S. Maldonado and R. Weber, "A wrapper method for feature selection using support vector machines," Information Sciences, vol. 179, no. 13, pp. 2208-2217, Jun. 2009.</unstructured_citation></citation></citation_list></journal_article><journal_article publication_type="full_text"><titles><title>SVD-Based Adaptive Multiuser Detection for Optimized Chaotic DS-CDMA Systems</title></titles><contributors><person_name contributor_role="author" sequence="first"><given_name>S.</given_name><surname>Shaerbaf</surname></person_name><person_name contributor_role="author" sequence="additional"><given_name>S. A.</given_name><surname>Seyedin</surname></person_name></contributors><publication_date media_type="online"><month>12</month><day>21</day><year>2010</year></publication_date><pages><first_page>247</first_page><last_page>256</last_page></pages><doi_data><doi>10.66224/ijece.27992.8.4.247</doi><resource>http://ijece.org/fa/Article/27992</resource><collection property="crawler-based"><item crawler="iParadigms"><resource>http://ijece.org/fa/Article/Download/27992</resource></item><item crawler="google"><resource>http://ijece.org/fa/Article/Download/27992</resource></item><item crawler="msn"><resource>http://ijece.org/fa/Article/Download/27992</resource></item><item crawler="altavista"><resource>http://ijece.org/fa/Article/Download/27992</resource></item><item crawler="yahoo"><resource>http://ijece.org/fa/Article/Download/27992</resource></item><item crawler="scirus"><resource>http://ijece.org/fa/Article/Download/27992</resource></item></collection><collection property="text-mining"><item><resource mime_type="application/pdf">http://ijece.org/fa/Article/Download/27992</resource></item></collection></doi_data><citation_list><citation key="ref1"><unstructured_citation>[1]	A. Cambel, Applied Chaos Theory - A Paradigm for Complexity, San Diego, CA: Academic Press, 1993.</unstructured_citation></citation><citation key="ref2"><unstructured_citation>
[2]	L. Pecora and T. Caroll, "Synchronization in chaotic systems," Phys. Rev. Lett, vol. 64, no. 2, pp. 821-823, Jan. 1990.</unstructured_citation></citation><citation key="ref3"><unstructured_citation>
[3]	M. H. Elmirghani and R. A. Cryan, "Communication using chaotic masking," IEE Colloquium on Exploiting Chaos in Signal Processing, vol. 5, no. 2, pp. 121-126, 1994.</unstructured_citation></citation><citation key="ref4"><unstructured_citation>
[4]	H. Leung and J. Lam, "Design of demodulator for the chaotic modulation communication system," IEEE Trans. Circuits and Systems I: Fundamental Theory and Applications, vol. 44, no. 3, pp. 262-267, Mar. 1997.</unstructured_citation></citation><citation key="ref5"><unstructured_citation>
[5]	A. Abel and W. Schwarz, "Chaos communications, principles, schemes, and system analysis," in Invited Paper in IEEE Proc., vol. 90, no. 5, pp. 253-305, May 2002.</unstructured_citation></citation><citation key="ref6"><unstructured_citation>
[6]	G. Kolumban, B. Vizvari, W. Schwarz, and A. Abel, "Differential chaos shift keying: a robust coding for chaotic communication," in Proc. of the 4th Int. Workshop on Nonlinear Dynamics of Electronic Systems, pp. 87-92, Jun. 1996.</unstructured_citation></citation><citation key="ref7"><unstructured_citation>
[7]	J. M. H. Elmirghani and R. A. Cryan, "New chaotic based communication technique with multiuser provision," IEEE Electronics Letters, vol. 30, no. 15, pp. 1206-1207, Jul. 1997.</unstructured_citation></citation><citation key="ref8"><unstructured_citation>
[8]	J. M. H. Elmirghani and R. A. Cryan, "Point - to - point and multi-user communication based on chaotic sequences," in Proc. IEEE ICC Colloquium on Exploiting Chaos in Signal Processing, vol. 1, pp. 582-584, 1995.</unstructured_citation></citation><citation key="ref9"><unstructured_citation>
[9]	N. Xie and H. Leung, "An analog multi - user spread spectrum technique for wireless home automation," IEEE Trans. Consumer Electronics, vol. 48, no. 4, pp. 1016-1025, Nov. 2002.</unstructured_citation></citation><citation key="ref10"><unstructured_citation>
[10]	Y. Lau and Z. Hussain, "Chaos shift keying spread spectrum with multicarrier modulation for secure digital communication," WSEAS Trans. on Communications, vol. 4, no. 1, pp. 47-77, Jan. 2005.</unstructured_citation></citation><citation key="ref11"><unstructured_citation>
[11]	Y. Lau and Z. Hussain, "Chaotic-based CDMA versus PN-based CDMA for digital secure communications: a comparative study," in Proc. Australian Telecommunications Networks and Applications Conf., pp. 99-103, Sydney, Australia, Dec. 2004.</unstructured_citation></citation><citation key="ref12"><unstructured_citation>
[12]	Y. Lau and Z. Hussain, "Chaotic - based OFDM - CDMA for secure digital communications: performance comparison with PN - based OFDM - CDMA," in Proc. 3rd Workshop on Telecommunications and Signal Processing, WITSP'04, Adelaide, Australia, Dec. 2004.</unstructured_citation></citation><citation key="ref13"><unstructured_citation>
[13]	A. Tsuneda, D. Yoshioka, and T. Hadate, "Design of spreading sequences with negative auto - correlations realizable by nonlinear feedback shift registers," in Proc. IEEE 8th In. Symp. on Spread Spectrum Techniques and Applications, vol. 4, pp. 330-334, May 2004.</unstructured_citation></citation><citation key="ref14"><unstructured_citation>
[14]	M. Latva, Advanced Receivers for Wideband CDMA Systems, Department of Electrical Engineering University of Oulu, Finland, Ph.D. Thesis, 1999.</unstructured_citation></citation><citation key="ref15"><unstructured_citation>
[15]	J. Wehinger, Iterative Multi User Receivers for CDMA Systems, Vienna University of Technology, Ph.D. Thesis, 2005.</unstructured_citation></citation><citation key="ref16"><unstructured_citation>
[16]	M. Juntti, "Performance analysis of linear multisensor multiuser receivers for CDMA in fading channels," IEEE J. Sel. Areas in Communication, vol. 18, no. 7, pp. 1221-1229, Jul. 2000.</unstructured_citation></citation><citation key="ref17"><unstructured_citation>
[17]	P. Stavroulakis, Chaos Application in Telecommunication, Taylor &amp; Francis Press, 2006.</unstructured_citation></citation><citation key="ref18"><unstructured_citation>
[18]	M. Gotz and A. Abel, "Design of infinite chaotic polyphase sequences with perfect correlation properties," in Proc. IEEE Int. Symp. Circuits and Systems, ISACS'98, vol. 3, pp. 279-282, 31 May-3 Jun. 1998.</unstructured_citation></citation><citation key="ref19"><unstructured_citation>
[19]	J. Krupar and W. Schwarz, "A performance estimation method for chaotic spread spectrum clock process," in Proc. Proc. IEEE Int. Symp. Circuits and Systems, ISACS'05, vol. 4, pp. 3383 - 3386, 23-26 May  2005.</unstructured_citation></citation><citation key="ref20"><unstructured_citation>
[20]	S. Verdú, "Minimum probability of error for asynchronous gaussian multiple - access channels," IEEE Trans. on Information Theory, vol. 32, no. 1, pp. 85-96, Jan. 1986.</unstructured_citation></citation><citation key="ref21"><unstructured_citation>
[21]	S. Verdu, Multiuser Detection, Cambridge University Press, 1998.</unstructured_citation></citation><citation key="ref22"><unstructured_citation>
[22]	B. Xu, C. Yang, and S. Mao, "An improved blind adaptive multiuser detector in multipath CDMA channels based on subspace estimation," in Proc. IEEE 55th Vehicular Technology Conf., vol. 2, pp. 285-288, 6-9 May 2002.</unstructured_citation></citation><citation key="ref23"><unstructured_citation>
[23]	X. Wang and H. Vincent Poor, "Blind multiuser detection: a subspace approach," IEEE Trans. on Information Theory, vol. 44, no. 2, pp. 677-690, Mar. 1998.</unstructured_citation></citation><citation key="ref24"><unstructured_citation>
[24]	X. Wang and H. Vincent Poor, "Subspace methods for blind joint channel estimation and multiuser detection in CDMA systems," Wireless Networks, vol. 6, no. 1, pp. 59-71, 2000.</unstructured_citation></citation><citation key="ref25"><unstructured_citation>
[25]	G. Cai, D. Yu, and W. Song, "An subspace - based blind multiuser detection in dispersive CDMA channels," in Proc. IEEE 6th Symp. on Emerging Techonlogies: Mobile and Wireless Communications, vol. 4, pp. 779-782, Shanghai, China, Jun. 2004.</unstructured_citation></citation><citation key="ref26"><unstructured_citation>
[26]	H. Zamiri-Jafarian and G. Gulak, "Adaptive channel SVD estimation for MIMO-OFDM systems," in Proc. IEEE 61st Vehicular Technology Conf., vol. 1, pp. 552-556, Stockholm, Sweden, 30 May-1 Jun. 2005.</unstructured_citation></citation></citation_list></journal_article><journal_article publication_type="full_text"><titles><title>Segmentation of Steel Surfaces towards Defect Detection Using New Gabor Composition Method</title></titles><contributors><person_name contributor_role="author" sequence="first"><given_name>S. J.</given_name><surname>Alemasoom</surname></person_name><person_name contributor_role="author" sequence="additional"><given_name>A.</given_name><surname>Monadjemi</surname></person_name><person_name contributor_role="author" sequence="additional"><given_name>H. A.</given_name><surname>Alemasoom</surname></person_name></contributors><publication_date media_type="online"><month>12</month><day>21</day><year>2010</year></publication_date><pages><first_page>257</first_page><last_page>266</last_page></pages><doi_data><doi>10.66224/ijece.27993.8.4.257</doi><resource>http://ijece.org/fa/Article/27993</resource><collection property="crawler-based"><item crawler="iParadigms"><resource>http://ijece.org/fa/Article/Download/27993</resource></item><item crawler="google"><resource>http://ijece.org/fa/Article/Download/27993</resource></item><item crawler="msn"><resource>http://ijece.org/fa/Article/Download/27993</resource></item><item crawler="altavista"><resource>http://ijece.org/fa/Article/Download/27993</resource></item><item crawler="yahoo"><resource>http://ijece.org/fa/Article/Download/27993</resource></item><item crawler="scirus"><resource>http://ijece.org/fa/Article/Download/27993</resource></item></collection><collection property="text-mining"><item><resource mime_type="application/pdf">http://ijece.org/fa/Article/Download/27993</resource></item></collection></doi_data><citation_list><citation key="ref1"><unstructured_citation>[1]	J. Alemasoom, Texture Segmentation towards Defect Detection, 
M. Sc. Thesis, University of Isfahan, Oct. 2008.</unstructured_citation></citation><citation key="ref2"><unstructured_citation>
[2]	J. P. Yun, S. Choi, J. W. Kim, and S. W. Kim, "Automatic detection of cracks in raw steel block using Gabor filter optimized by univariate dynamic encoding algorithm for searches (uDEAS)," NDT &amp; E Int., vol. 42, no. 5, pp. 389-397, Jul. 2009.</unstructured_citation></citation><citation key="ref3"><unstructured_citation>
[3]	H. Sari-Sarraf and J. Goddard, "Vision system for on-loom fabric inspection," IEEE Trans. on Industry Applications, vol. 35, no. 8, pp. 1252-1259, Nov./Dec. 1999.</unstructured_citation></citation><citation key="ref4"><unstructured_citation>
[4]	H. Sari-Sarraf, J. S. Goddard, B. R. Abidi, and M. A. Hunt, "Vision system for on-line characterization of paper slurry," Int. J. of Imaging Systems and Technology, vol. 11, no. 4, pp. 231-242, 2000.</unstructured_citation></citation><citation key="ref5"><unstructured_citation>
[5]	A. Kumar and G. K. H. Pang, "Defect detection in textured materials using Gabor filters," IEEE Trans. on Industry Applications, vol. 38, no. 2, pp. 425-440, Mar./Apr. 2002.</unstructured_citation></citation><citation key="ref6"><unstructured_citation>
[6]	M. Petrou, J. Kitter, and K. Y. Song, "Automatic surface crack detection on textured materials," J. of Materials Processing Technology, vol. 56, no. 1-4, pp. 158-167, Jan. 1996.</unstructured_citation></citation><citation key="ref7"><unstructured_citation>
[7]	A. Monadjemi, Towards Efficient Texture Classification and Abnormality Detection, Ph. D Thesis, Bristol University, 2004.</unstructured_citation></citation><citation key="ref8"><unstructured_citation>
[8]	M. Mirmehdi and M. Petrou, "Segmentation of color textures," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 22, no. 2, pp. 142-159, Feb. 2000.</unstructured_citation></citation><citation key="ref9"><unstructured_citation>
[9]	X. Xie and M. Mirmehdi, "TEXEMS: texture exemplars for defect detection on random textured surfaces," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 29, no. 8, pp. 1454-1464, Aug. 2007.</unstructured_citation></citation><citation key="ref10"><unstructured_citation>
[10]	X. Liu and D. Wang, "Image segmentation using local spectral histograms," IEEE Trans. on Image Processing, vol. 15, no. 10, pp. 3066-3077, Oct. 2006.</unstructured_citation></citation><citation key="ref11"><unstructured_citation>
[11]	T. Weldon, W. Higgins, and D. Dunn, "Gabor filter design for multiple texture segmentation," Optical Engineering, vol. 35, no. 10, pp. 2852-2863, 1996.</unstructured_citation></citation><citation key="ref12"><unstructured_citation>
[12]	T. Ojala, M. Pietikainen, and D. Harwood, "A comparative study of texture measures with classification based on feature distribution," IEEE Trans. on Pattern Recognition, vol. 29, no. 1, pp. 51-59, Jan. 1996.</unstructured_citation></citation><citation key="ref13"><unstructured_citation>
[13]	R. Haralick, K. Shanmugam, and I. Dinstein, "Textural features for image classification," IEEE Trans. on Systems, Man, and Cybernetics, vol. 3, no. 6, pp. 610-621, Nov. 1973.</unstructured_citation></citation><citation key="ref14"><unstructured_citation>
[14]	D. Clausi and M. Jernigan, "Designing Gabor filters for optimal texture separability," Pattern Recognition, vol. 33, no. 11, pp. 1835-1849, Nov. 2000.</unstructured_citation></citation><citation key="ref15"><unstructured_citation>
[15]	A. K. Jain and F. Farrokhnia, "Unsupervised texture segmentation using Gabor filters," Pattern Recognition, vol. 24, no. 12, pp. 1167-1186, 1991.</unstructured_citation></citation><citation key="ref16"><unstructured_citation>
[16]	E. Abouei Mehrizi, A. Monadjemi, and M. Ashorian, "Color steel plates defect detection using wavelet and color analysis," Int. J. of Computer Science &amp; Information Security, IJCSIS, vol. 8, no. 2, pp. 285-292, May 2010.</unstructured_citation></citation></citation_list></journal_article><journal_article publication_type="full_text"><titles><title>Training of MLP Neural Network for Data Classification by GSA Method</title></titles><contributors><person_name contributor_role="author" sequence="first"><given_name>M.</given_name><surname>Dehbashian</surname></person_name><person_name contributor_role="author" sequence="additional"><given_name>Seyed-Hamid</given_name><surname>Zahiri</surname></person_name></contributors><publication_date media_type="online"><month>12</month><day>21</day><year>2010</year></publication_date><pages><first_page>267</first_page><last_page>274</last_page></pages><doi_data><doi>10.66224/ijece.27994.8.4.267</doi><resource>http://ijece.org/fa/Article/27994</resource><collection property="crawler-based"><item crawler="iParadigms"><resource>http://ijece.org/fa/Article/Download/27994</resource></item><item crawler="google"><resource>http://ijece.org/fa/Article/Download/27994</resource></item><item crawler="msn"><resource>http://ijece.org/fa/Article/Download/27994</resource></item><item crawler="altavista"><resource>http://ijece.org/fa/Article/Download/27994</resource></item><item crawler="yahoo"><resource>http://ijece.org/fa/Article/Download/27994</resource></item><item crawler="scirus"><resource>http://ijece.org/fa/Article/Download/27994</resource></item></collection><collection property="text-mining"><item><resource mime_type="application/pdf">http://ijece.org/fa/Article/Download/27994</resource></item></collection></doi_data><citation_list><citation key="ref1"><unstructured_citation>[1]	R. S. Kulkarni and M. Vidyasagar, "Learning decision rules for pattern classification under a family of probability measures," IEEE Trans. on Information Theory, vol. 43, no. 1, pp. 154-166, Jan. 1997.</unstructured_citation></citation><citation key="ref2"><unstructured_citation>
[2]	J. R. Qinlan, "Introduction of decision trees," Machine Learning, vol. 1, no. 1, pp. 86-101, Mar. 1986.</unstructured_citation></citation><citation key="ref3"><unstructured_citation>
[3]	Y. Freund, "Boosting a weak learning algorithm by majority," Information Computation, vol. 121, no. 2, pp. 256-285, Sep. 1995.</unstructured_citation></citation><citation key="ref4"><unstructured_citation>
[4]	C. Hongjun, R. Setiono, and L. Huan, "Effect data mining using neural networks," IEEE Trans. on Knowledge and Data Engineering, vol. 8, no. 6, pp. 957-961, Dec. 1996.</unstructured_citation></citation><citation key="ref5"><unstructured_citation>
[5]	B. E. Boser, I. M. Guyon, and V. N. Vapnik, "A training algorithm for optimal margin classifiers," in Proc. 5th Annual ACM Workshop on Computational Learning Theory, New York, NY, US, pp. 144-152, 13-15 Jun. 1992.</unstructured_citation></citation><citation key="ref6"><unstructured_citation>
[6]	V. N. Vapink, The Nature of Statistical Learning Theory, Springer Verlag, 1995.</unstructured_citation></citation><citation key="ref7"><unstructured_citation>
[7]	م. ب. منهاج، هوش محاسباتی، جلد اول: مبانی شبکه‌های عصبی، انتشارات دانشگاه صنعتی اميرکبير، تهران، ويرايش اول، 1379.</unstructured_citation></citation><citation key="ref8"><unstructured_citation>
[8]	ع. کاشفی کاویانی، س .ع. پورموسوی کانی و ع. جهانبانی اردکانی، "آموزش شبکه‌های عصبی چندلایه با به‌کارگیری الگوریتم PSO،" هشتمين كنفرانس سیستم‌های هوشمند، دانشگاه فردوسی، مشهد، شهریور 1386.</unstructured_citation></citation><citation key="ref9"><unstructured_citation>
[9]	A. A. Miniani and R. D. Williams, "Acceleration of back- propagation through learning rate and momentum adaptation," in Proc. Inter. Joint Conf. on Neural Networks, San Diego, CA, US, vol. 1, pp. 676-679, 1990.</unstructured_citation></citation><citation key="ref10"><unstructured_citation>
[10]	R. A. Jacobs, "Increased rate of convergence through learning rate adaptation," Neural Networks, vol. 1, no. 4, pp. 295-308, 1988.</unstructured_citation></citation><citation key="ref11"><unstructured_citation>
[11]	K. Balakrishnan and V. Honavar, "Improving convergence of back propagation by handling flat - spots in the output layer," in Proc. Second Int. Conf. on Artificial Neural Networks, Brighton, UK, vol. 1, pp. 139-144, 1992.</unstructured_citation></citation><citation key="ref12"><unstructured_citation>
[12]	M. T. Hagan and M. Menhaj, "Training feed forward networks with the Marquardt algorithm," IEEE Trans. on Neural Networks, vol. 5, no. 6, pp. 989-993, Nov. 1994.</unstructured_citation></citation><citation key="ref13"><unstructured_citation>
[13]	W. Yan and S. Hongbao, "Improvement of neural network learning algorithm and its application in control," in Proc. 3rd World Congress on Neural Networks, vol. 2, pp. 971-975, Hefei, Anhui, Jul. 2000.</unstructured_citation></citation><citation key="ref14"><unstructured_citation>
[14]	B. Bazartseren, G. Hildebrandt, and K. P. Holz, "Short - term water level prediction using neural networks and neuro - fuzzy approach," Neuro Computing, vol. 55, no. 3-4, pp. 439-450, Oct. 2003.</unstructured_citation></citation><citation key="ref15"><unstructured_citation>
[15]	M. Engin, "ECG beat classification using neuro - fuzzy network," Pattern Recognition Letters, vol. 25, no. 15, pp. 1715-1722, Nov. 2004.</unstructured_citation></citation><citation key="ref16"><unstructured_citation>
[16]	P. Kumar, S. N. Merchant, and U. B. Desai, "Improving performance in pulse radar detection using Bayesian regularization for neural network training," Digital Signal Processing, vol. 14, no. 5, pp. 438-448, Jul. 2004.</unstructured_citation></citation><citation key="ref17"><unstructured_citation>
[17]	K. S. Tang, K. F. Man, and S. Kwong, Q. He, "Genetic algorithms and their applications," IEEE Signal Processing Magazine, vol. 13, no. 6, pp. 22-37, Nov. 1996.</unstructured_citation></citation><citation key="ref18"><unstructured_citation>
[18]	L. L. Rogers, F. U. Dowla, and V. M. Johnson, "Optimal field - scale groundwater remediation using neural networks and the genetic algorithm," Environmental Science and Technology, vol. 29, no. 5, pp. 1145-1155, 1995.</unstructured_citation></citation><citation key="ref19"><unstructured_citation>
[19]	D. J. Montana and L. Davis, "Training feed forward neural networks using genetic algorithms," Machine Learning, vol. 1, pp. 762-767, Aug. 1989.</unstructured_citation></citation><citation key="ref20"><unstructured_citation>
[20]	J. Branke, "Genetic algorithms for neural network design and training," in Proc. of the First Nordic Workshop on Genetic Algorithms, vol. 1, pp. 145-163, University of Vaasa, Finland, Jan. 2003.</unstructured_citation></citation><citation key="ref21"><unstructured_citation>
[21]	A. Ullah Khan, T. K. Bandopadhyaya, and S. Sharma, "Genetic algorithm based back propagation neural network performs better than back propagation neural network in stock rates prediction," Inter. J. of Computer Science and Network Security, vol. 8, no. 7, pp. 162-166, Jul. 2008.</unstructured_citation></citation><citation key="ref22"><unstructured_citation>
[22]	L. A. Tarca, B. P. A. Grandjean, and F. Larachi, "Embedding monotonicity and concavity in the training of neural networks by means of genetic algorithms application to multiphase flow," Computers and Chemical Engineering, vol. 28, no. 9, pp. 1701-1713, 2004.</unstructured_citation></citation><citation key="ref23"><unstructured_citation>
[23]	R. S. Sexton and R. E. Dorsey, "Reliable classification using neural network: a genetic algorithm and back propagation computation," Decision Support Systems, vol. 30, no. 1, pp. 11-22, Dec. 2000.</unstructured_citation></citation><citation key="ref24"><unstructured_citation>
[24]	S. Kirkpatrick, C. D. Gelatto, and M. P. Vecchi, "Optimization by simulated annealing," Science, New Series, vol. 220, no. 4598, pp. 671-680, May. 1983.</unstructured_citation></citation><citation key="ref25"><unstructured_citation>
[25]	A. L. Arnaud, P. J. L. Adeodato, G. C. Vasconcelos, and R. F. O. Neto, "MLP neural networks optimization through simulated annealing in a hybrid approach for time series prediction," Congresso de Soceidade Brasileira de Computacäo, pp. 1110-1113, Jul. 2005.</unstructured_citation></citation><citation key="ref26"><unstructured_citation>
[26]	R. S. Sexton, R. E. Dorsey, and J. D. Johnson, "Optimization of neural networks: a comparative analysis of the genetic algorithm and simulated annealing," European J. of Operational Research, vol. 114, no. 3, pp. 589-601, May 1999.</unstructured_citation></citation><citation key="ref27"><unstructured_citation>
[27]	S. W. Lin, T. Y. Tseng, S. Y. Chou, and S. C. Chen, "A simulated-annealing - based approach for simultaneous parameter optimization and feature selection of back - propagation networks," Expert Systems with Applications, vol. 34, no. 2, pp. 1491-1499, Feb. 2008.</unstructured_citation></citation><citation key="ref28"><unstructured_citation>
[28]	J. D. Farmer, N. Packard, and A. Perelson, "The immune system, adaptation and machine learning," Physica D, vol. 2, no. 1-3, pp. 187-204, 1986</unstructured_citation></citation><citation key="ref29"><unstructured_citation>
[29]	R. Pasti and L. N. De Castro, "The influence of diversity in an immune-based algorithm to train MLP networks," in Proc. of the 6th Inter. Conf. on Artificial Immune Systems, ICARIS'07, vol. 4628, pp. 71-82, 2007.</unstructured_citation></citation><citation key="ref30"><unstructured_citation>
[30]	J. Kennedy and R. C. Eberhart, "Particle swarm optimization," in Proc. of IEEE Int. Conf. on Neural Networks, vol. 4, pp. 1942-1948, 1995.</unstructured_citation></citation><citation key="ref31"><unstructured_citation>
[31]	C. Marcio and B. L. Teresa, "An analysis of PSO hybrid algorithms for feed-forward neural networks training," in Proc. of the Ninth Brazilian Symp. on Neural Networks, SBRN'06, pp. 2-7, 2006.</unstructured_citation></citation><citation key="ref32"><unstructured_citation>
[32]	F. A. Guerra and L. D. S. Coelho, "Multi - step ahead nonlinear identification of Lorenz’s chaotic system using radial basis neural network with learning by clustering and particle swarm optimization," Chaos, Solitons and Fractals, vol. 35, no. 5, pp. 967-979, Mar. 2008.</unstructured_citation></citation><citation key="ref33"><unstructured_citation>
[33]	J. R. Zhang, J. Zhang, T. M. Lok, and M. R. Lyu, "A hybrid particle swarm optimization - back - propagation algorithm for feedforward neural network training," Applied Mathematics and Computation, vol. 185, no. 2, pp. 1026-1037, Feb. 2007.</unstructured_citation></citation><citation key="ref34"><unstructured_citation>
[34]	Y. P. Chang and C. N. Ko, "A PSO method with nonlinear time - varying evolution based on neural network for design of optimal harmonic filters," Expert Systems with Applications, vol. 36, no. 3, pp. 6809-6816, Apr. 2009.</unstructured_citation></citation><citation key="ref35"><unstructured_citation>
[35]	R. Pasti and L. N. De Castro, "Bio - inspired and gradient - based algorithms to train MLPs: the inﬂuence of diversity," Information Sciences, vol. 179, no. 10, pp. 1441-1453, Apr. 2009.</unstructured_citation></citation><citation key="ref36"><unstructured_citation>
[36]	A. E. Zade Sherme and R. Ghaderi, "An intelligent system for classification of the communication formats using PSO," Informatica, vol. 32, no. 2, pp. 213-218, Jul. 2008.</unstructured_citation></citation><citation key="ref37"><unstructured_citation>
[37]	Y. Marinakis, M. Marinaki, M. Doumpos, and C. Zopounidis, "Ant colony and particle swarm optimization for ﬁnancial classiﬁcation problems," Expert Systems with Applications, vol. 36, no. 7, pp. 10604-10611, Sep. 2009.</unstructured_citation></citation><citation key="ref38"><unstructured_citation>
[38]	E. Rashedi, H. Nezamabadi - pour, and S. Saryazdi, "GSA: a gravitational search algorithm," Information Sciences, vol. 179, no. 13, pp. 2232-2248, Mar. 2009.</unstructured_citation></citation><citation key="ref39"><unstructured_citation>
[39]	ع. راشدي و ح. نظام‌آبادي‌پور، "طراحی فیلترهای IIR به وسیله الگوریتم جستجوی گرانشی،" شانزدهمين كنفرانس مهندسي برق ايران، دانشگاه تربیت مدرس، جلد اول، صص. 474-469، تهران، اردیبهشت 1387.</unstructured_citation></citation><citation key="ref40"><unstructured_citation>
[40]	ع. راشدي و ح. نظام‌آبادي‌پور، "انتخاب ویژگی با استفاده از الگوریتم جستجوی گرانشی،" سومین كنفرانس فناوری اطلاعات و دانش، دانشگاه فردوسی، مشهد، آذر 1386.</unstructured_citation></citation><citation key="ref41"><unstructured_citation>
[41]	E. Rashedi, H. Nezamabadi - pour, and S. Saryazdi, "Allocation of static var compensator using gravitational search algorithm," First Joint Congress on Fuzzy and Intelligent Systems Ferdowsi University of Mashhad, Iran, Aug. 2007.</unstructured_citation></citation><citation key="ref42"><unstructured_citation>
[42]	م. ده‌باشیان، سیدحمید ظهیری و ن. مهرشاد، "آموزش شبکه عصبی MLP در فشرده‌سازی تصاویر با استفاده از روش GSA،" ششمین کنفرانس ماشین بینایی و پردازش تصویر ایران، دانشگاه اصفهان، جلد اول، صص. 476-470،  آبان 1389.</unstructured_citation></citation><citation key="ref43"><unstructured_citation>
[43]	ع. راشدی، ح. نظام‌آبادی‌پور و سعید سریزدی، "الگوریتم جستجوی گرانشی باینری،" هشتمین کنفرانس سیستم‌های هوشمند، دانشگاه فردوسی مشهد، شهریور 1386.</unstructured_citation></citation><citation key="ref44"><unstructured_citation>
[44]	م. ده‌باشیان و سیدحمید ظهیری، "الگوریتم جستجوی گرانشی نخبه‌گرای پیشرفته،" اولین کنفرانس انرژی‌های تجدیدپذیر و تولید پراکنده ایران، دانشگاه بیرجند، اسفند 1388.</unstructured_citation></citation><citation key="ref45"><unstructured_citation>
[45]	م. ده‌باشیان و س. ح. ظهیری، "MOGSA: روشی جدید در بهینه‌سازی چندهدفه مبتنی بر الگوریتم جستجوی گرانشی،" شانزدهمین کنفرانس انجمن کامپیوتر ایران، دانشگاه صنعتی شریف، جلد اول، صص 507-502،  اسفند 1389.</unstructured_citation></citation><citation key="ref46"><unstructured_citation>
[46]	D. E. Rumelhart, E. Hinton, and J. Williams, "Learning internal representation by error propagation," Parallel Distributed Processing, vol. 1, 318-362, 1986.</unstructured_citation></citation><citation key="ref47"><unstructured_citation>
[47]	UCI Repository of Machine Learning Data Bases, Department of Information and Computer Science, University of California, Irvine, CA, http://www.ics.uci.edu/~mlearn/MLRepository.html.</unstructured_citation></citation></citation_list></journal_article><journal_article publication_type="full_text"><titles><title>Design of Proportional-Integral Sliding Mode Controllers for Hyperchaotic Systems in the Presence of Uncertainty, Disturbance and Nonlinear Control Inputs</title></titles><contributors><person_name contributor_role="author" sequence="first"><given_name>A.</given_name><surname>Abooee</surname></person_name><person_name contributor_role="author" sequence="additional"><given_name>M. R.</given_name><surname>Jahed Motlagh</surname></person_name><person_name contributor_role="author" sequence="additional"><given_name>Z.</given_name><surname>Rahmani</surname></person_name></contributors><publication_date media_type="online"><month>12</month><day>21</day><year>2010</year></publication_date><pages><first_page>275</first_page><last_page>283</last_page></pages><doi_data><doi>10.66224/ijece.27995.8.4.275</doi><resource>http://ijece.org/fa/Article/27995</resource><collection property="crawler-based"><item crawler="iParadigms"><resource>http://ijece.org/fa/Article/Download/27995</resource></item><item crawler="google"><resource>http://ijece.org/fa/Article/Download/27995</resource></item><item crawler="msn"><resource>http://ijece.org/fa/Article/Download/27995</resource></item><item crawler="altavista"><resource>http://ijece.org/fa/Article/Download/27995</resource></item><item crawler="yahoo"><resource>http://ijece.org/fa/Article/Download/27995</resource></item><item crawler="scirus"><resource>http://ijece.org/fa/Article/Download/27995</resource></item></collection><collection property="text-mining"><item><resource mime_type="application/pdf">http://ijece.org/fa/Article/Download/27995</resource></item></collection></doi_data><citation_list><citation key="ref1"><unstructured_citation>[1]	O. E. Rössler, "An equation for hyperchaos," Physics Letters A, vol. 71, no. 2, pp. 155-157, Apr. 1979.</unstructured_citation></citation><citation key="ref2"><unstructured_citation>
[2]	Y. Li, W. Tang, and G. Chen, "Hyperchaos evolved from the generalized lorenz equation," Int. J. of Circuit Theory and Applications, vol. 33, no. 4, pp. 235-251, Jul 2005.</unstructured_citation></citation><citation key="ref3"><unstructured_citation>
[3]	T. Gao, G. Chen, Z. Chen, and S. Chen, "The generation and circuit implementation of a new hyperchaos upon Lorenz system," Physics Letters A, vol. 361, no. 1, pp. 78-86, Jan. 2007.</unstructured_citation></citation><citation key="ref4"><unstructured_citation>
[4]	C. Wang, X. Zhang, Y. Zheng, and Y. Li, "A new modified hyperchoatic Lü system," Physica A: Statistical Mechanics and Its Applications, vol. 371, no. 2, pp. 260-272, Nov. 2006.</unstructured_citation></citation><citation key="ref5"><unstructured_citation>
[5]	Y. Li, W. Tang, and G. Chen, "Generating hyperchaos via state feedback control," Int. J. of Bifurcation and Chaos, vol. 15, no. 10, pp. 3367-3375, Oct. 2005.</unstructured_citation></citation><citation key="ref6"><unstructured_citation>
[6]	T. Gao, Z. Chen, Z. Yuan, and G. Chen, "A hyperchaos generated from chen’s system," Int. J. of Modern Physics C, vol. 17, no. 4, pp. 471-478, Jul. 2006.</unstructured_citation></citation><citation key="ref7"><unstructured_citation>
[7]	Z. Chen, Y. Yuang, G. Qi, and Z. Yuan, "A novel hyperchaos system only with one equilibrium," Physics Letters A, vol. 360, no. 6, pp. 696-701, Jan. 2007.</unstructured_citation></citation><citation key="ref8"><unstructured_citation>
[8]	W. Wu, Z. Chen, and Z. Yuan, "The evolution of a novel four -dimensional autonomous system: among 3 - torus, limit cycle, 2 -torus, chaos, and hyperchaos," Chaos, Solitons, and Fractals, vol. 39, no. 5,pp. 2340-2356, Mar. 2009.</unstructured_citation></citation><citation key="ref9"><unstructured_citation>
[9]	Y. Li, G. Chen, and W. Tang, "Controlling a unified chaotic system to hyperchaotic," IEEE Trans. Circuit System II, vol. 52, no. 4, pp. 204-207, Apr. 2005.</unstructured_citation></citation><citation key="ref10"><unstructured_citation>
[10]	ع. ابويي، م. ر. جاهد مطلق و ز. رحماني چراتي، "ارائه يک سيستم آشوبناک بعد بالاي جديد همراه با يک نقطه تعادل و پايدارسازي آن با استفاده از فيدبک حالت خطي،" مجله کنترل، جلد 3، شماره 1، صص. 46-37، بهار 1388.</unstructured_citation></citation><citation key="ref11"><unstructured_citation>
[11]	G. Perez and H. Cerdeira, "Extracting messages masked by chaos," Physical Review Letters, vol. 74, no. 1, pp.1970-1973, Mar. 1995.</unstructured_citation></citation><citation key="ref12"><unstructured_citation>
[12]	L. Pecora, "Hyperchaos harnessed," Physics World, vol. 9, no. 1, pp. 17-18, May. 1996.</unstructured_citation></citation><citation key="ref13"><unstructured_citation>
[13]	A. Genys, A. Tamasevicius, and A. Bazailiauskas, "Hyperchaos in coupled colpitts oscillators," Chaos, Solitons, and Fractals, vol. 17, no. 2, pp. 349-353, Jul. 2003.</unstructured_citation></citation><citation key="ref14"><unstructured_citation>
[14]	S. Cincotti and S. Stefano, "Complex dynamical behaviors in two non - linearly coupled chua's circuits," Chaos, Solitons, and Fractals, vol. 21, no. 3, pp. 633-641, Jul. 2004.</unstructured_citation></citation><citation key="ref15"><unstructured_citation>
[15]	J. P. Goedgebuer, L. Larger, and H. Porle, "Optical cryptosystem based on synchronization of hyperchaos generated by a delayed feedback tunable laser diode," Physical Review Letters, vol. 80, no. 10, pp. 2249-2252, Mar. 1998.</unstructured_citation></citation><citation key="ref16"><unstructured_citation>
[16]	J. A. Laoye, U. E. Vincent, and S. O. Kareem, "Chaos control of 4D chaotic systems using recursive backstepping nonlinear controller," Chaos, Solitons, and Fractals, vol. 39, no. 1, pp. 356-362, Jan. 2009.</unstructured_citation></citation><citation key="ref17"><unstructured_citation>
[17]	F. Q. Dou, J. A. Sun, W. S. Duan, and K. P. Lü, "Controlling hyperchaos in the new hyperchaotic system," Communications in Nonlinear Science and Numerical Simulation, vol. 14, no. 2, pp. 552-559, Feb. 2009.</unstructured_citation></citation><citation key="ref18"><unstructured_citation>
[18]	Y. Y. Hou, T. L. Liao, and J. J. Yan, "H∞ synchronization of chaotic systems using output feedback control design," Physica A: Statistical Mechanics and its Applications, vol. 379, no. 1, pp. 81-89, Jun. 2007.</unstructured_citation></citation><citation key="ref19"><unstructured_citation>
[19]	W. Jiang, G. G. Qiao, and D. Bin, "H∞ variable universe adaptive fuzzy control for chaotic system," Chaos, Solitons, and Fractals, vol. 24, no. 4, pp. 1075-1086, May 2005.</unstructured_citation></citation><citation key="ref20"><unstructured_citation>
[20]	H. Guo, S. Lin, and J. Liu, "A radial basis function sliding mode controller for chaotic Lorenz system," Physics Letters A, vol. 351, no. 4, pp. 257-261, Mar. 2006.</unstructured_citation></citation><citation key="ref21"><unstructured_citation>
[21]	H. T. Yau and C. L. Chen, "Chattering-free fuzzy sliding - mode control strategy for uncertain chaotic systems," Chaos, Solitons, and Fractals, vol. 30, no. 3, pp. 709-718, Nov. 2006.</unstructured_citation></citation><citation key="ref22"><unstructured_citation>
[22]	M. J. Jang, C. L. Chen, and C. K. Chen, "Sliding mode control of hyperchaos in Rössler systems," Chaos, Solitons, and Fractals, vol. 14, no. 9, pp. 1465-1476, Dec. 2002.</unstructured_citation></citation><citation key="ref23"><unstructured_citation>
[23]	T. Y. Chiang and M. L. Hung, "Sliding mode control for uncertain unified chaotic systems with input nonlinearity," Chaos, Solitons, and Fractals, vol. 34, no. 3, pp. 437-442, Oct. 2007.</unstructured_citation></citation><citation key="ref24"><unstructured_citation>
[24]	H. Wang, Z. Z. Han, Q. Y. Xie, and W. Zhang, "Sliding mode control for chaotic systems based on LMI," Communications in Nonlinear Science and Numerical Simulation, vol. 14, no. 4, pp. 1410-1417, Apr. 2009.</unstructured_citation></citation><citation key="ref25"><unstructured_citation>
[25]	T. L. Liao, J. J. Yan, and Y. Y. Hou, "Robust chaos suppression for the family of nonlinear chaotic systems with noise perturbation," Nonlinear Analysis: Theory, Methods, and Applications, vol. 69, no. 1, pp. 14-23, Jul. 2008.</unstructured_citation></citation><citation key="ref26"><unstructured_citation>
[26]	S. Dadras, H. R. Momeni, and V. J. Majd, "Sliding mode control for uncertain new chaotic dynamical system," Chaos, Solitons, and Fractals, vol. 41, no. 4, pp. 1857-1862, Aug. 2009.</unstructured_citation></citation><citation key="ref27"><unstructured_citation>
[27]	J. J. Yan, "H∞ controlling hyperchaos of the Rössler system with input nonlinearity," Chaos, Solitons, and Fractals, vol. 21, no. 2, pp. 283-293, Jul. 2004.</unstructured_citation></citation></citation_list></journal_article><journal_article publication_type="full_text"><titles><title>A Biological Laboratory on Microelectronic Chip: Design, Fabrication, and Experimental Results</title></titles><contributors><person_name contributor_role="author" sequence="first"><given_name>E.</given_name><surname>Ghafar-Zadeh</surname></person_name><person_name contributor_role="author" sequence="additional"><given_name>Mohammad</given_name><surname>Sawan</surname></person_name></contributors><publication_date media_type="online"><month>12</month><day>21</day><year>2010</year></publication_date><pages><first_page>284</first_page><last_page>289</last_page></pages><doi_data><doi>10.66224/ijece.27996.8.4.284</doi><resource>http://ijece.org/fa/Article/27996</resource><collection property="crawler-based"><item crawler="iParadigms"><resource>http://ijece.org/fa/Article/Download/27996</resource></item><item crawler="google"><resource>http://ijece.org/fa/Article/Download/27996</resource></item><item crawler="msn"><resource>http://ijece.org/fa/Article/Download/27996</resource></item><item crawler="altavista"><resource>http://ijece.org/fa/Article/Download/27996</resource></item><item crawler="yahoo"><resource>http://ijece.org/fa/Article/Download/27996</resource></item><item crawler="scirus"><resource>http://ijece.org/fa/Article/Download/27996</resource></item></collection><collection property="text-mining"><item><resource mime_type="application/pdf">http://ijece.org/fa/Article/Download/27996</resource></item></collection></doi_data><citation_list><citation key="ref1"><unstructured_citation>[1]	C. Stagni, et al., "CMOS DNA sensor array with integrated A/D conversion based on label-free capacitance measurement," IEEE J. of Solid-State Circuits, vol. 41, no. 12, pp. 2956-2964, Dec. 2006.</unstructured_citation></citation><citation key="ref2"><unstructured_citation>
[2]	H. Y. Kim, et al., "Real-time detection of microbial contamination," IEEE Engineering in Medicine and Biology Mag., vol. 23, no. 1, pp. 122-129, Jan./Feb. 2004.</unstructured_citation></citation><citation key="ref3"><unstructured_citation>
[3]	Glucose Sensor by iTest Inc. http://www.itestglucose.com, Virus Sensor by ST-Microelectronics. http://www.st.com and Gene Chip by Affymetrix Inc http://www.affymetrix.com.</unstructured_citation></citation><citation key="ref4"><unstructured_citation>
[4]	H. Eltoukhy, K. Salama, and A. E. Gamal, "A 0.18 mm, CMOS bioluminescence detection lab-on-chip," IEEE J. of Solid-State Circuits, vol. 41, no. 3, pp. 651-662, Mar. 2006.</unstructured_citation></citation><citation key="ref5"><unstructured_citation>
[5]	S. B. Prakash and P. Abshire, "Tracking cancer cell proliferation on a CMOS capacitance sensor chip," Biosensors and Bioelectronics, vol. 23, no. 10, pp. 1449-1457, 15 May 2008.</unstructured_citation></citation><citation key="ref6"><unstructured_citation>
[6]	A. Balasubramanian, B. Bhuva, R. Mernaugh, and F. R. Haselton, "Si-based sensor for virus detection," IEEE J. Sensors, vol. 5, no. 3, pp. 340-344, Jun. 2005.</unstructured_citation></citation><citation key="ref7"><unstructured_citation>
[7]	C. Guiducci, C. Stagni, G. Zuccheri, A. Bogliolo, L. Benini, B. Samorìb, and B. Riccòa, "DNA detection by integrable electronics," Biosensors and Bioelectronics, vol. 19, no. 8, pp. 781-787, Mar. 2004..</unstructured_citation></citation><citation key="ref8"><unstructured_citation>
[8]	E. Ghafar-Zadeh and M. Sawan, "A hybrid microfluidic CMOS capacitive sensor dedicated to Lab - on - Chip applications," IEEE Trans. on Biomedical Circuits and Systems, vol. 1, no. 4, pp. 270-277, Dec. 2007.</unstructured_citation></citation><citation key="ref9"><unstructured_citation>
[9]	E. Ghafar - Zadeh, M. Sawan, and D. Therriault, "Novel direct - write CMOS-based laboratory-on-chip: design, assembly and experimental results," J. of Sensors and Actuators A: Physical, vol. 134, no. 1, pp. 27-36, 28 Feb. 2007.</unstructured_citation></citation><citation key="ref10"><unstructured_citation>
[10]	E. Spiller, A. Schöll, R. Alexy, K. Kümmerer, and G. A. Urban, "A sensitive microsystem as biosensor for cell growth monitoring and antibiotic testing," Sensors and Actuators A: Physical, vol. 130-131, pp. 27-36, 28 Feb..</unstructured_citation></citation><citation key="ref11"><unstructured_citation>
[11]	D. Sylvester, J. C. Chen, and H. Chenming, "Investigation of interconnect capacitance characterization using charge - based capacitance measurement (CBCM) technique and three - dimensional simulation," IEEE J. of Solid-State Circuits, vol. 33, no. 3, pp. 449-453, Mar. 1998.</unstructured_citation></citation><citation key="ref12"><unstructured_citation>
[12]	L. Yang, Y. Li, C. L. Griffis, and M. G. Johnson, "Interdigitated microelectrode (IME) impedance sensor for the detection of viable Salmonella typhimurium," Biosensors and Bioelectronics, vol. 19, no. 10, pp. 1139-1147, 15 May 2004.</unstructured_citation></citation></citation_list></journal_article></journal></body></doi_batch>