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Elektronik Burun Sistemlerinin Tasarım İlkeleri

Year 2011, Volume: 25 Issue: 1, 109 - 118, 01.04.2011

Ünal Kızıl Levent Genç Melis Saçan

Abstract

Keywords

-

References

  • Balasubramanian, S., S. Panigrahi, C.M. Louge, M. Marchello, C. Doetkott, H. Gu, J. Sherwood and L. Nolan. 2005. Spoilage identification of beef using an electronic nose system. Transactions of the ASAE, 47(5): 1625-1633.
  • Barisci, J., M. Andrew, P. Harris, A. Patridge and G. Wallace. 1997. Development of an electronic nose. Proc. of smart electric nose. SPIE Vol. 3242: 164-171.
  • Cannady, J. 1998. Artificial Neural Networks for Misuse Detection. National Information Systems Security Conference.
  • Dodd, T.H., S.A. Hale and S.M. Blanchard. 2005. Electronic nose analysis of tilapia storage. Transactions of the ASAE, 47(1): 135-140.
  • Gomez, A.H., J. Wang and A.G. Pereira. 2007. Mandarin ripeness monitoring and quality attribute evaluation using an electronic nose technique. American Society of Agricultural and Biological Engineers. 50(6): 2137-2142.
  • Hammerstrom, D. 1993. Working with Neural Networks. IEEE Spectrum, July 1993, pp. 46-53
  • Kızıl, U. and J.A. Lindley. 2001. Comparison of different techniques in the determination of animal manure characteristics. ASAE/CSAE North Central Sections Conference. Brookings, South Dakota September 28-29, 2001. Paper No: SD 01-106
  • Kızıl, U. and J.A. Lindley. 2009. Potential use of gas sensors in beef manure nutrient content estimations. African Journal of Biotechnology. 8 (12), 2790-2795
  • Kızıl, U., J.A. Lindley and S. Panigrahi. 2001. Determination of manure characteristics using gas sensors. ASAE Annual International Meeting. Sacramento, California July 29-August 1, 2001. Paper No: 01-1024
  • Li C. and P.H. Heinemann. 2007. ANN integrated electronic nose and znose system for apple quality evaluation. Transactions of the ASABE 50(6): 2285-2294
  • Machado R.F., D. Laskowski, O. Deffenderfer, T. Burch, S. Zheng, P.J. Mazzone, T. Mekhail, C. Jennings, J.K. Stoller, J. Pyle, J. Duncan, R.A. Dweik and S.C. Erzurum. 2005. Detection of lung cancer by sensor array analyses of exhaled breath. Am. J. Respiratory Critical Care Med. 171: 1286-1291.
  • Markom M.A., A.Y. Md. Shakaff, A.H. Adom, N.A. Fikri, S.F. Khan, A.H. Abdullah and C.M.NC Isa. 2007. Development of low cost electronic nose. University Malaysia Perlis. http://hdl.handle.net/123456789/7454.
  • Ouellette, J. 1999. Electronic noses sniff out new markets. Industrial Physicist, 5(1): 26-29.
  • Pang, L., J. Wang, X. Lu and H. Yu. 2008. Discrimination of storage age for wheat by e- nose. 51 (5): 1707-1712.
  • Panigrahi S., U. Kizil, S. Balasubramanyan, C. Doetkott, C. Logue, M. Marchello, H. Gu, A. Kubiak, L. Nolan, J. Schneider and R. Wiens. 2002. Electronic Nose System for Meat Quality Evaluation. ASAE/CIGR Annual International Meeting.Chicago, Illinois July 28 – 31, 2002. Paper No. 026094.
  • Qu, G., J.R.R. Feddes, W.W. Armstrong, R.N. Coleman and J.J. Leonard. 2001. Measuring odor concentration with an electronic nose. American Society of Agricultural Engineers, 44(6): 1807-1812.
  • Stussi, E.S. Cella, G. Serra, and G. Verier. 1996. Fabrication of conducting polymor patterns for gas sensing by a dry technique. Materials Science and engineering C4 (1996): 27-33.
  • Miner, X.L. 2010. Data Mining Add-In for Excel. User Guide. Statistic.com LLC, Arlington, VA, USA. http://www.resample.com/xlminer/
  • Younts S, E.C. Alocilja, W.N. Osburn, S. Marquie and D.L. Grooms. 2005. Differentiation of Escherichia coli O157:H7 from non-O157:H7 E. coli serotypes using a gas sensor- based, computer-controlled detection system. Transactions of the ASAE, 45(5): 1681- 1685.
  • Zhang, H., J. Wang. 2008. Identification of stored-grain age using electronic nose by ANN. American Society of Agricultural and Biological Engineers 24 (2): 227-231.

Elektronik Burun Sistemlerinin Tasarım İlkeleri

Year 2011, Volume: 25 Issue: 1, 109 - 118, 01.04.2011

Ünal Kızıl Levent Genç Melis Saçan

Abstract

Biyolojik materyallerden yayılan uçucu bileşenleri değerlendirerek, bunların çeşitli özelliklerini belirleyen elektronik burun sistemleri gıda sektörü, çevre kontrolü, insan sağlığı gibi birçok alanda kullanılma olanağı bulmuştur. Bir elektronik burun sistemi, farklı özelliklerin belirlenmesine yarayan sensörler, sinyal toplama ünitesi ve örnek tanımlama yazılımından oluşur. Ticari olarak satılan eburunlar mevcut olmakla birlikte, yüksek maliyetli ve kullanımları zordur. Bu nedenle daha ekonomik ve basit sistemlerin geliştirilmesi gereklidir. Bu çalışma, e-burun sistemlerinin geliştirilmesi, örnek tanımlama modellerinin oluşturulması ve uygulanması için detaylı bilgiler sağlamak amacıyla sunulmuştur

Keywords

Elektronik burun sensör sistemleri yapay sinir ağları

References

  • Balasubramanian, S., S. Panigrahi, C.M. Louge, M. Marchello, C. Doetkott, H. Gu, J. Sherwood and L. Nolan. 2005. Spoilage identification of beef using an electronic nose system. Transactions of the ASAE, 47(5): 1625-1633.
  • Barisci, J., M. Andrew, P. Harris, A. Patridge and G. Wallace. 1997. Development of an electronic nose. Proc. of smart electric nose. SPIE Vol. 3242: 164-171.
  • Cannady, J. 1998. Artificial Neural Networks for Misuse Detection. National Information Systems Security Conference.
  • Dodd, T.H., S.A. Hale and S.M. Blanchard. 2005. Electronic nose analysis of tilapia storage. Transactions of the ASAE, 47(1): 135-140.
  • Gomez, A.H., J. Wang and A.G. Pereira. 2007. Mandarin ripeness monitoring and quality attribute evaluation using an electronic nose technique. American Society of Agricultural and Biological Engineers. 50(6): 2137-2142.
  • Hammerstrom, D. 1993. Working with Neural Networks. IEEE Spectrum, July 1993, pp. 46-53
  • Kızıl, U. and J.A. Lindley. 2001. Comparison of different techniques in the determination of animal manure characteristics. ASAE/CSAE North Central Sections Conference. Brookings, South Dakota September 28-29, 2001. Paper No: SD 01-106
  • Kızıl, U. and J.A. Lindley. 2009. Potential use of gas sensors in beef manure nutrient content estimations. African Journal of Biotechnology. 8 (12), 2790-2795
  • Kızıl, U., J.A. Lindley and S. Panigrahi. 2001. Determination of manure characteristics using gas sensors. ASAE Annual International Meeting. Sacramento, California July 29-August 1, 2001. Paper No: 01-1024
  • Li C. and P.H. Heinemann. 2007. ANN integrated electronic nose and znose system for apple quality evaluation. Transactions of the ASABE 50(6): 2285-2294
  • Machado R.F., D. Laskowski, O. Deffenderfer, T. Burch, S. Zheng, P.J. Mazzone, T. Mekhail, C. Jennings, J.K. Stoller, J. Pyle, J. Duncan, R.A. Dweik and S.C. Erzurum. 2005. Detection of lung cancer by sensor array analyses of exhaled breath. Am. J. Respiratory Critical Care Med. 171: 1286-1291.
  • Markom M.A., A.Y. Md. Shakaff, A.H. Adom, N.A. Fikri, S.F. Khan, A.H. Abdullah and C.M.NC Isa. 2007. Development of low cost electronic nose. University Malaysia Perlis. http://hdl.handle.net/123456789/7454.
  • Ouellette, J. 1999. Electronic noses sniff out new markets. Industrial Physicist, 5(1): 26-29.
  • Pang, L., J. Wang, X. Lu and H. Yu. 2008. Discrimination of storage age for wheat by e- nose. 51 (5): 1707-1712.
  • Panigrahi S., U. Kizil, S. Balasubramanyan, C. Doetkott, C. Logue, M. Marchello, H. Gu, A. Kubiak, L. Nolan, J. Schneider and R. Wiens. 2002. Electronic Nose System for Meat Quality Evaluation. ASAE/CIGR Annual International Meeting.Chicago, Illinois July 28 – 31, 2002. Paper No. 026094.
  • Qu, G., J.R.R. Feddes, W.W. Armstrong, R.N. Coleman and J.J. Leonard. 2001. Measuring odor concentration with an electronic nose. American Society of Agricultural Engineers, 44(6): 1807-1812.
  • Stussi, E.S. Cella, G. Serra, and G. Verier. 1996. Fabrication of conducting polymor patterns for gas sensing by a dry technique. Materials Science and engineering C4 (1996): 27-33.
  • Miner, X.L. 2010. Data Mining Add-In for Excel. User Guide. Statistic.com LLC, Arlington, VA, USA. http://www.resample.com/xlminer/
  • Younts S, E.C. Alocilja, W.N. Osburn, S. Marquie and D.L. Grooms. 2005. Differentiation of Escherichia coli O157:H7 from non-O157:H7 E. coli serotypes using a gas sensor- based, computer-controlled detection system. Transactions of the ASAE, 45(5): 1681- 1685.
  • Zhang, H., J. Wang. 2008. Identification of stored-grain age using electronic nose by ANN. American Society of Agricultural and Biological Engineers 24 (2): 227-231.
There are 20 citations in total.

Details

Primary Language Turkish
Journal Section Research Articles
Authors

Ünal Kızıl This is me

Levent Genç This is me

Melis Saçan

Publication Date April 1, 2011
Published in Issue Year 2011 Volume: 25 Issue: 1

Cite

APA Kızıl, Ü., Genç, L., & Saçan, M. (2011). Elektronik Burun Sistemlerinin Tasarım İlkeleri. Uludağ Üniversitesi Ziraat Fakültesi Dergisi, 25(1), 109-118.
AMA Kızıl Ü, Genç L, Saçan M. Elektronik Burun Sistemlerinin Tasarım İlkeleri. Uludag Üniv. Ziraat Fak. Derg. April 2011;25(1):109-118.
Chicago Kızıl, Ünal, Levent Genç, and Melis Saçan. “Elektronik Burun Sistemlerinin Tasarım İlkeleri”. Uludağ Üniversitesi Ziraat Fakültesi Dergisi 25, no. 1 (April 2011): 109-18.
EndNote Kızıl Ü, Genç L, Saçan M (April 1, 2011) Elektronik Burun Sistemlerinin Tasarım İlkeleri. Uludağ Üniversitesi Ziraat Fakültesi Dergisi 25 1 109–118.
IEEE Ü. Kızıl, L. Genç, and M. Saçan, “Elektronik Burun Sistemlerinin Tasarım İlkeleri”, Uludag Üniv. Ziraat Fak. Derg., vol. 25, no. 1, pp. 109–118, 2011.
ISNAD Kızıl, Ünal et al. “Elektronik Burun Sistemlerinin Tasarım İlkeleri”. Uludağ Üniversitesi Ziraat Fakültesi Dergisi 25/1 (April 2011), 109-118.
JAMA Kızıl Ü, Genç L, Saçan M. Elektronik Burun Sistemlerinin Tasarım İlkeleri. Uludag Üniv. Ziraat Fak. Derg. 2011;25:109–118.
MLA Kızıl, Ünal et al. “Elektronik Burun Sistemlerinin Tasarım İlkeleri”. Uludağ Üniversitesi Ziraat Fakültesi Dergisi, vol. 25, no. 1, 2011, pp. 109-18.
Vancouver Kızıl Ü, Genç L, Saçan M. Elektronik Burun Sistemlerinin Tasarım İlkeleri. Uludag Üniv. Ziraat Fak. Derg. 2011;25(1):109-18.