Review of Computer Engineering Research

Published by: Conscientia Beam
Online ISSN: 2410-9142
Print ISSN: 2412-4281
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No. 3

A Comprehensive Review of Semiconductor-Type Gas Sensors for Environmental Monitoring

Pages: 55-64
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A Comprehensive Review of Semiconductor-Type Gas Sensors for Environmental Monitoring

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DOI: 10.18488/journal.76/2016.3.3/76.3.55.64

Citation: 3

Anand Nayyar , Vikram Puri , Dac-Nhuong Le

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  1. K. Arshak, E. Moore, G. M. Lyons, J. Harris, and S. Clifford, "A review of gas sensors employed in electronic nose applications," Sensor Review, vol. 24, pp. 181-198, 2004.
  2. X. Liu, S. Cheng, H. Liu, S. Hu, D. Zhang, and H. Ning, "A survey on gas sensing technology," Sensors, vol. 12, pp. 9635-9665, 2012.
  3. S. R. Morrison, "Semiconductor gas sensors," Sensors and Actuators, vol. 2, pp. 329-341, 1982.
  4. G. S. Korotchenkov, Handbook of gas sensor materials: Properties, advantages and shortcomings for applications: Conventional approaches vol. 1. New York, USA: Springer, 2013.
  5. G. Sberveglieri, Gas sensors: Principles, operation and developments: Springer Science & Business Media, 2012.
  6. C. Wang, L. Yin, L. Zhang, D. Xiang, and R. Gao, "Metal oxide gas sensors: Sensitivity and influencing factors," Sensors, vol. 10, pp. 2088-2106, 2010.
  7. N. Barsan and U. Weimar, "Conduction model of metal oxide gas sensors," Journal of Electroceramics, vol. 7, pp. 143-167, 2001.
Anand Nayyar , Vikram Puri , Dac-Nhuong Le (2016). A Comprehensive Review of Semiconductor-Type Gas Sensors for Environmental Monitoring. Review of Computer Engineering Research, 3(3): 55-64. DOI: 10.18488/journal.76/2016.3.3/76.3.55.64
In this paper a review of different semiconductor-type gas sensors is presented. The different types of gas sensors from various companies like Hanwei, Libelium, Sandbox Electronics and Sensor Tech SGX are discussed along with their technical specifications. Environment is surrounded by various sorts of gases cum pollutants and it is utmost necessary to keep a efficient check on them as these gases can cause trouble to the health of human beings and pollute environment drastically. The main objective of this research paper is to present all sorts of gas sensors which are based on semiconductors and to generate awareness regarding which sensor is best for which detection. However, for more improved sensitivity and selectivity for these sensors, future trends and outlook for researchers is also suggested. The paper can also act as base for researchers to get hold of these sensors to develop a market ready product like drone or robot for Environmental Gas Detection.
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About the Calculation Method of the Coefficient that Shows Significance Extent of Geometric Characteristics in Determination of Racial and Ethnic Identity of Human

Pages: 47-54
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About the Calculation Method of the Coefficient that Shows Significance Extent of Geometric Characteristics in Determination of Racial and Ethnic Identity of Human

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DOI: 10.18488/journal.76/2016.3.3/76.3.47.54

Tofig Kazimov , Shafagat Mahmudova

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  1. J. Wang and T. A. Tan, "New face detection method based on shape information," Pattern Recognition Letters, vol. 21, pp. 471-463, 2000.
  2. C. Liang and D. Feipeng, "Non-rigid deformation recovery for 3D face recognition using multi-scale registration," IEEE Computer Graphics and Applications, pp. 3978-3975, 2010.
  3. B. Raducanu, M. Grana, F. X. Albizuri, and A. D. Anjou, "Face localization based on the morphological multiscale fingerprints," Pattern Recognition Letters, vol. 22, pp. 371-359, 2001.
  4. S. Romdhani, "Face recognition using principal components analysis," MSc Thesis. University of Glasgow, 2002.
  5. J. Bigun, K. Choy, and H. Olsson, "Evidence on skill differences of women and men concerning face recognition," Lecture Notes in Computer Science, vol. 2091, pp. 51-44, 2001.
  6. L. R. Adilova, "On face recognition," Intellectual System, vol. 14, pp. 84-73, 2010.
  7. A. Del Bimbo, P. Pala, and S. Berretti, "Distinguishing facial features for ethnicity-based 3D face recognition," ACM Transactions on Intelligent Systems and Technology (TIST), vol. 5, pp. 22-1, 2012.
  8. J. Heo and M. Savvides, "Gender and ethnicity specific generic elastic models from a single 2D image for novel 2D pose face synthesis and recognition," Pattern Analysis and Machine Intelligence, vol. 34, pp. 2341–2350, 2012.
  9. D. B. Alberto, P. Pietro, and B. Stefano, "Distinguishing facial features for ethnicity-based 3D face recognition," ACM Transactions on Intelligent Systems and Technology (TIST), vol. 3, pp. 20-1, 2012.
  10. Q. L. Xit and N. А. D. Rasovaya, Differentsiatsiya chelovechestva (Dermatoqlificheskie Dannie). In-t etnoqrafii im. N.N. M.: Nauka 1990.
  11. V. А. Barananshikov and K. I. Ananeva, "Vospriyatie fotoizobrajeniy lits lyudey raznoyrasovoy prinadlejnosti," Vestnik RUDN, vol. 1, pp. 13-7, 2009.
  12. Y. В. Bromley, Ocherki teorii etnosa. М: Izdatelstvo LKI, 2008.
  13. B. Rogers, Ethnicity without groups. Cambridge: Harvard University Press, 2004.
  14. V. N. Zvyaqin, Opredelenie rasovoy prinadlejnosti po kostyam cherepa: Sudebnomeditsinskiy tsentr MZRF, n.d.
  15. S. J. Mahmudova, "Approaches for the racial and ethnic determination of a person," Advances in Image and Video Processing, vol. 3, pp. 32-26, 2015.
  16. T. Kazimov and S. Mahmudova, "About a method of recognition of race and ethnicity of individuals based on portrait photographs," Intelligent Control and Automation, vol. 5, pp. 125-120, 2014.
  17. T. Kazimov and S. Mahmudova, "Increase of indicator values of identification systems quality on the recognition of human face on the basis of photo portraits," Intelligent Control and Automation, vol. 4, pp. 198-191, 2013.
Tofig Kazimov , Shafagat Mahmudova (2016). About the Calculation Method of the Coefficient that Shows Significance Extent of Geometric Characteristics in Determination of Racial and Ethnic Identity of Human. Review of Computer Engineering Research, 3(3): 47-54. DOI: 10.18488/journal.76/2016.3.3/76.3.47.54
In the article, a new algorithm for finding coefficients that determine significance extent of the values of geometric characteristics that are used for determination of racial and ethnic identity of human is proposed. It is explained that the calculation of coefficients which determine the importance extent of the values of geometric characteristics is important in several respects. The determination of coefficients that indicate the importance extent of geometric characteristics causes reduction in numbers of values of geometric characteristics that don’t have particular importance and in time that is spent for the identification and improvement of identification quality.
Contribution/ Originality