An accelerated and accurate three-dimensional ray tracing using red-black tree with facet mining and object bouncing techniques

Recent trends show that it is a major challenge to predict the exact propagation path accurately and efficiently for three-dimensional (3D) indoor environments. Therefore, this study introduces a new 3D ray tracing algorithm based on a red-black tree with facet mining and object bouncing techniques....

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Main Authors: Islam, M.J., Reza, A.W., Noordin, K.A., Dimyati, K., Kausar, A.M.Z.
Format: Article
Language:English
Published: 2015
Subjects:
Online Access:http://eprints.um.edu.my/13924/1/An_accelerated_and_accurate_threetechniques.pdf
http://eprints.um.edu.my/13924/
http://mistug.tubitak.gov.tr/bdyim/abs.php?dergi=elk&rak=1212-98
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spelling my.um.eprints.139242015-09-20T23:58:00Z http://eprints.um.edu.my/13924/ An accelerated and accurate three-dimensional ray tracing using red-black tree with facet mining and object bouncing techniques Islam, M.J. Reza, A.W. Noordin, K.A. Dimyati, K. Kausar, A.M.Z. T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Recent trends show that it is a major challenge to predict the exact propagation path accurately and efficiently for three-dimensional (3D) indoor environments. Therefore, this study introduces a new 3D ray tracing algorithm based on a red-black tree with facet mining and object bouncing techniques. The red-black tree data structure offers a faster object searching operation while repeatedly performing intersection tests. On the other hand, extensive ray-facet intersection tests can be eliminated by using object and facet bouncing techniques, whereas the facet mining makes it easier to trace the transmitted ray paths accurately. The proposed method is compared with ray launching, bidirectional path tracing, modified angular Z-buffer, and binary space partitioning-based modified wavefront decomposition techniques and it is found that it obtains better prediction results in terms of computation time, the number of predicted rays, and radio propagation path loss. 2015 Article PeerReviewed application/pdf en http://eprints.um.edu.my/13924/1/An_accelerated_and_accurate_threetechniques.pdf Islam, M.J. and Reza, A.W. and Noordin, K.A. and Dimyati, K. and Kausar, A.M.Z. (2015) An accelerated and accurate three-dimensional ray tracing using red-black tree with facet mining and object bouncing techniques. Turkish Journal of Electrical Engineering and Computer Sciences, 23 (2). pp. 580-588. ISSN 1300-0632 http://mistug.tubitak.gov.tr/bdyim/abs.php?dergi=elk&rak=1212-98 10.3906/elk-1212-98
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
language English
topic T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Islam, M.J.
Reza, A.W.
Noordin, K.A.
Dimyati, K.
Kausar, A.M.Z.
An accelerated and accurate three-dimensional ray tracing using red-black tree with facet mining and object bouncing techniques
description Recent trends show that it is a major challenge to predict the exact propagation path accurately and efficiently for three-dimensional (3D) indoor environments. Therefore, this study introduces a new 3D ray tracing algorithm based on a red-black tree with facet mining and object bouncing techniques. The red-black tree data structure offers a faster object searching operation while repeatedly performing intersection tests. On the other hand, extensive ray-facet intersection tests can be eliminated by using object and facet bouncing techniques, whereas the facet mining makes it easier to trace the transmitted ray paths accurately. The proposed method is compared with ray launching, bidirectional path tracing, modified angular Z-buffer, and binary space partitioning-based modified wavefront decomposition techniques and it is found that it obtains better prediction results in terms of computation time, the number of predicted rays, and radio propagation path loss.
format Article
author Islam, M.J.
Reza, A.W.
Noordin, K.A.
Dimyati, K.
Kausar, A.M.Z.
author_facet Islam, M.J.
Reza, A.W.
Noordin, K.A.
Dimyati, K.
Kausar, A.M.Z.
author_sort Islam, M.J.
title An accelerated and accurate three-dimensional ray tracing using red-black tree with facet mining and object bouncing techniques
title_short An accelerated and accurate three-dimensional ray tracing using red-black tree with facet mining and object bouncing techniques
title_full An accelerated and accurate three-dimensional ray tracing using red-black tree with facet mining and object bouncing techniques
title_fullStr An accelerated and accurate three-dimensional ray tracing using red-black tree with facet mining and object bouncing techniques
title_full_unstemmed An accelerated and accurate three-dimensional ray tracing using red-black tree with facet mining and object bouncing techniques
title_sort accelerated and accurate three-dimensional ray tracing using red-black tree with facet mining and object bouncing techniques
publishDate 2015
url http://eprints.um.edu.my/13924/1/An_accelerated_and_accurate_threetechniques.pdf
http://eprints.um.edu.my/13924/
http://mistug.tubitak.gov.tr/bdyim/abs.php?dergi=elk&rak=1212-98
_version_ 1643689685645524992
score 13.211869