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State Key Laboratory of Fire Science, University of Science and Technology of China, Jinzhai Road 96, Hefei, Anhui, P. R. China
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Tel: (+86) 551 3601651
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E-mail: sklfs@ustc.edu.cn
  homepage  Selected Publications
Selected Publications of ZHANG Yongming


[1] Fire detection model in Tibet on grey-fuzzy neural network algorithm. Expert Systems with Applications, 38 (2011) pp. 9580-9586.

[2] Radiation Characteristics of Ethanol Pool Fire in High-Altitude Area. Journal of Combustion Science and Technology 17(1) 2011.

[3] Comparative study on fractal model and spherical model of fire smoke particles for light scattering, Acta Physica Sinica, 59(10)2010, 7442-7446.

[4] Video fire smoke detection using motion and color features. Fire technology, 2010 (46): 651-663.

[5] An Improved Method for Forest Fire Spot Detection Based on Variance Between-Class, Spectroscopy and Spectral Analysis, 2010, 30(8): 2065-2068.

[6] Small Scale Pool Fire Burning Rate Under Reduced Atmospheric Pressure Using Pressure Modeling. Journal of Combustion Science and Technology, 2010, 16 (5): 467-471.

[7] Measurements of Muller Matrices of Light Scattering and Study on the Size.Shape Parameters of Smoke Particles. Journal of Combustion Science and Technology, 2009, 15(2):172-176.

[8] Gas Pipeline Leak Detection Based on Tunable Diode Laser Absorption Spectroscopy, Spectroscopy and Spectral Analysis. 2009. 29(8).

[9] Video Smoke Detection Based on Accumulation and Main Motion Orientation, Journal of Image and Graphics. Vol 13,No 4,Apr 2008: 808-813.

[10] Design and realization of fire monitoring system based on wireless sensor networks, Transducer and Microsystem Technologies, 2008. vol 27, No.10,P101-103

Symposium Proceedings

[1] Burn Scar Identification Based on Recognition of Fire Spots . 2010 Second IITA Conference on Geoscience and Remote Sensing (IITA- GRS 2010).

[2] A New Smoke Concentration Measurement System: Low-Cost, High-Accuracy, and Easy-Implementation. The International Conference on Electrical and Control Engineering (ICECE’10), 2010.

[3] Characterization of Smoke Particles Using Polarization Modulated Scattering. International Conference on Optoelectronics and Image Processing. 2010, 1: 325-327.

[4] Design a low power wireless fire detector based on CC430. 2010 International Conference on Intelligent Computation Technology and Automation (ICICTA 2010), 2010, 1: 328-331.

[5] Nighttime video smoke detection based on active infrared video image. International Conference on Electrical and Control Engineering (2010’ ICECE), 2010, 1: 1359-1362

[6] Characteristics of light scattering by fire smoke particles based on fractal aggregate shape model. 14th International Conference on Automatic Fire Detection, AUBE’09.

[7] Based on wavelet transformation fire smoke detection method.,IEEE The 9th International Conference on Electronic Measurement & Instruments (ICEMI’2009)

[8] Texture analysis of smoke for real-time fire detection. IEEE Second International Workshop on Computer Science and Engineering, 2009, 2: 511-515.


[1]. A polarization-modulated multichannel Mueller-matrix scatterometer for smoke particle characterization. Proc SPIE, 2009’ International conference on Optical Instrumentation and Technology, Shanghai, China.

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