Informatics Publishing Limited

Aditya Gupta ¹, Neeraj Bokde ¹, Dushyant Marathe ¹, Kishore ¹

Affiliations
1 Electronics and Communication, Visvesvaraya National Institute of Technology, Nagpur - 440010, Maharashtra, IN

Abstract

Objectives: A novel video based fire detection algorithm based on rule base technique using RGB and HSV color space and spatial analysis based on wavelet analysis is proposed. Methods/Statistical Analysis: Rule base technique utilizing RGB and HSV color space for extraction of fire pixels in the frame was used. Threshold based spatial energy methodology is used for differentiating fire and fire like objects. Wavelet analysis is performed for calculation of spatial energy. Texture analysis using Local Binary Pattern (LBP) is also performed when fire or fire like candidate having spatial energy near to threshold of fire pixel. Findings: The usage of RGB color space alone for identification of fire in the video frames is not sufficient as they suffer from false detection. Two novel rules based on HSV plane is proposed which have improved the detection ability of system when compare to previous studies. But still suffers from false detection. Spatial energy methodology based on differentiating fire and fire like objects performs well and has achieved greater efficiency with low false detection rate of 4% on standard datasets. Texture analysis using Local Binary Pattern (LBP) is also performed in rare case when fire candidate is having spatial energy near to that of fire like object category. This has helped in reducing the computational complexity of the system. The system shows 100% accurate results. Improvements: The results obtained for different standard datasets using the proposed hybrid spatial and texture base analysis shows 100% accuracy with zero false positive and false negative rates which is not observed in any of the present articles.

Keywords

Fire Detection, Local Binary Pattern (LBP), Spatial Analysis, Texture Analysis, Wavelet Analysis

Full Text

   

B. Suresha ¹, P. Sampathkumaran ², S. Seetharamu ², Kishore ³

Affiliations
1 Department of Mechanical Engineering, National Institute of Engineering, Mysore - 570 008, IN
2 Materials Technology Division, Central Power Research Institute, Bangalore - 560 080, IN
3 Department of Materials Engineering, Indian Institute of Science, Bangalore - 560 012, IN

Abstract

Woven fabric reinforced polymer composites are attracting the attention of material scientists in recent years in view of enhancement in physical and mechanical properties as well as ease in processing. Though woven fabric type and lay out of composite is known to control the properties, the information on the tribo-performance of the woven fabric reinforced vinyl ester composites in the literature is scanty. Hence, the present investigation focuses on the vinyl ester based composite reinforced with glass fibers in one case and carbon fibers in the other case. They were made by vacuum assisted resin transfer moulding process. Further, the samples were characterized for three-body abrasive wear behaviour using dry sand rubber wheel abrasion tester with two different abrasives (silica sand and quartz). The wear data revealed that the C-V composite showed lower abrasion loss compared to G-V composite. The scanning electron microscopic pictures depicting the worn surface features supported the wear data.

Keywords

Woven Fabric Reinforced Vinyl Ester Composites, Abrasives, Three-Body Abrasive Wear, Scanning Electron Microscopy.

Full Text