Institution
Sirindhorn International Institute of Technology
About: Sirindhorn International Institute of Technology is a based out in . It is known for research contribution in the topics: Supply chain & Combustion. The organization has 1048 authors who have published 1678 publications receiving 30067 citations.
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Papers
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01 Oct 2014
TL;DR: Simulation results show the proposed flexible, zone priority-based scheme can better select the more important messages to verify first, compared to existing techniques that use random or distance-based verification.
Abstract: Basic Safety Messages (BSMs) are an important message type used in safety applications in VANETs. When a vehicle receives a BSM it should verify the signature using cryptographic techniques. However as BSMs are periodically broadcast by all vehicles, the number received per second will exceed the verification capability of on-board units in high density traffic areas. We propose a flexible, zone priority-based scheme to select the most important BSMs to verify first. We consider the zone of the sending vehicle (i.e. vehicles in opposite direction which have already passed as least important), as well as position, acceleration and velocity of vehicles in ranking BSMs. Compared to existing techniques that use random or distance-based verification, simulation results show our scheme can better select the more important messages to verify first.
12 citations
TL;DR: The basic idea developed in this paper is to use the resulting vector field to obtain an improved edge map and use it to calculate a new gradient based source term.
12 citations
TL;DR: In this article, the authors present a method to facilitate the decision-making process in selecting sustainable floors (elements) for buildings in Sri Lanka, taking into consideration environmental, economic and social assessments of materials used for these elements.
12 citations
TL;DR: A practical synthesis of lipomannan (LM) backbone polysaccharides - the core glycans found on Mtb's surface are revealed and the immunological properties of the synthesized mannopyranans were investigated and their adjuvant potential was revealed.
12 citations
TL;DR: The results obtained by using the adopted PSO and SVM for structure-activity correlation determination were in close agreement with previous multiple linear regression models, which are reasonably satisfying, based on both statistical significance and predictive ability.
Abstract: Two novel algorithms based on particle swarm optimization (PSO) and support vector machine (SVM) have been employed to obtain predictive QSAR models of anti-HIV-1 activity of HEPT derivatives. The results obtained by using the adopted PSO and SVM for structure-activity correlation determination were in close agreement with previous multiple linear regression models, which are reasonably satisfying, based on both statistical significance and predictive ability.
12 citations
Authors
Showing all 1048 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Peter H. Seeberger | 79 | 719 | 27060 |
| Anurat Wisitsoraat | 42 | 232 | 5898 |
| Koichi Maekawa | 34 | 302 | 4931 |
| Xinyu Liu | 32 | 86 | 3150 |
| Sandhya Babel | 29 | 128 | 8037 |
| Issarachai Ngamroo | 29 | 145 | 2734 |
| K. C. Santosh | 29 | 180 | 2535 |
| Matthew N. Dailey | 29 | 120 | 2947 |
| Kriengsak Panuwatwanich | 25 | 96 | 2063 |
| Kostas Senetakis | 25 | 120 | 2060 |
| Satha Aphornratana | 24 | 41 | 3306 |
| Krikamol Muandet | 23 | 74 | 2843 |
| Tonni Agustiono Kurniawan | 22 | 26 | 8157 |
| Bunyarit Uyyanonvara | 22 | 91 | 3438 |
| Viboon Sricharoenchaikul | 20 | 79 | 1430 |