Jianwei Ma

Work place: Key Laboratory for Information System Engineering, School of Information System and Management, National University of Defense Technology, Changsha, China

E-mail: majianwei.nudt@google.com

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Research Interests:

Biography

Author Articles
Computational Method Investigation of Solid Ducted Rocket

By Gang Zhang Jun-De Han Jianwei Ma Wei Wang

DOI: https://doi.org/10.5815/ijem.2019.01.01, Pub. Date: 8 Jan. 2019

The Computation method of Solid Ducted Rocket (SDR) is a complex problem. It needs to effectively solve the two mixing and combustion processes, and is also affected by many factors such as the overall scheme and propellant type. In order to find a suitable method, physical model, simplified hypothesis, control equation, turbulence model, combustion model, etc. were investigated. Subsequently, calculations were carried out based on the Vanka model, and finally the results of pressure, temperature and combustion efficiency were obtained. The results show that the proposed method is practicable, and the accuracy and efficiency are ideal. Combustion efficiency is only 77.4%, and the Vanka model must be further improved by the air and gas intake modes. The results can provide reference for relevant research.

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Man-made Object Detection Based on Texture Visual Perception

By Fei Cai Honghui Chen Jianwei Ma

DOI: https://doi.org/10.5815/ijem.2012.03.01, Pub. Date: 29 Jun. 2012

Based on human visual attention mechanism and texture visual perception, this paper proposes a method for man-made object detection by extracting texture and geometry structure features. Followed by clustering the texture feature, geometry structure feature is obtained to realize final detection. Then a man-made object detection scheme is designed, by which typical man-made objects in complex natural background, including airplanes, tanks and vehicles can be detected. The experiments sustain that the proposed method is effective and rational.

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Man-made Object Detection Based on Texture Clustering and Geometric Structure Feature Extracting

By Fei Cai Honghui Chen Jianwei Ma

DOI: https://doi.org/10.5815/ijitcs.2011.02.02, Pub. Date: 8 Mar. 2011

Automatic aerial image interpretation is one of new rising high-tech application fields, and it’s proverbially applied in the military domain. Based on human visual attention mechanism and texture visual perception, this paper proposes a new approach for man-made object detection and marking by extracting texture and geometry structure features. After clustering the texture feature to realize effective image segmentation, geometry structure feature is obtained to achieve final detection and marking. Thus a man-made object detection methodology is designed, by which typical man-made objects in complex natural background, including airplanes, tanks and vehicles can be detected. The experiments sustain that the proposed method is effective and rational.

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