Browsing by Author "Gunasekaran, G."

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    An Efficient Technique for Three-Dimensional Image Visualization through Two-Dimensional Images for Medical Data
    (De Gruyter peter.golla@degruyter.com, 2020) Gunasekaran, G.; Venkatesan, M.
    The main idea behind this work is to present three-dimensional (3D) image visualization through two-dimensional (2D) images that comprise various images. 3D image visualization is one of the essential methods for excerpting data from given pieces. The main goal of this work is to figure out the outlines of the given 3D geometric primitives in each part, and then integrate these outlines or frames to reconstruct 3D geometric primitives. The proposed technique is very useful and can be applied to many kinds of images. The experimental results showed a very good determination of the reconstructing process of 2D images. © 2020 Walter de Gruyter GmbH, Berlin/Boston 2020.
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    An Efficient Technique for Three-Dimensional Image Visualization through Two-Dimensional Images for Medical Data
    (2020) Gunasekaran, G.; Venkatesan, M.
    The main idea behind this work is to present three-dimensional (3D) image visualization through two-dimensional (2D) images that comprise various images. 3D image visualization is one of the essential methods for excerpting data from given pieces. The main goal of this work is to figure out the outlines of the given 3D geometric primitives in each part, and then integrate these outlines or frames to reconstruct 3D geometric primitives. The proposed technique is very useful and can be applied to many kinds of images. The experimental results showed a very good determination of the reconstructing process of 2D images. 2020 Walter de Gruyter GmbH, Berlin/Boston 2020.
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    Examining the characteristics of heterogeneous traffic at various lane closures
    (Budapest University of Technology and Economics office@pp.bme.hu, 2020) Gladson, J.; Sivagnanasundaram, K.; Kasi, K.; Gunasekaran, G.
    The primary aim of this study is to support the policy decisions on selection of a work zone layout that would have least deterrence to the traffic flow on busy urban arterials carrying heterogeneous traffic. The traffic flow characteristics were recorded with two cameras and the speed variation was obtained by plying probe vehicles fitted with Global Positioning Systems (GPSs) repeatedly in the section. The traffic stream speed and capacity of the various types of work zone sections were analyzed and it is found that near side lane closure has a relatively least effect on capacity (15 %) whereas the effect of run around type closure is maximum (46 %). The reasons for the variations in speed and capacity at these types of work zones were examined and reported. Besides, the application of the study results with respect to planning of work zone layout is discussed. © 2020 Budapest University of Technology and Economics. All rights reserved.