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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.


Papers
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Proceedings ArticleDOI
24 Jun 2015
TL;DR: The minimum redundancy maximum relevance (mRMR) feature selection is applied as the features selection and according to the results the MFCC with ZCR present the best result of anger class and happiness class and only LPREFC resulted in the highest accuracy in sadness class.
Abstract: This paper presents the experiments on feature selection for emotional speech classification. There are 152 features used in this experiment. The minimum redundancy maximum relevance (mRMR) feature selection is applied as the features selection. The experiments are constructed from two corpora; Interactive Emotional Dyadic Motion Capture (IEMOCAP) and Emotional Tagged Corpus on Lakorn (EMOLA) which are collected in English and Thai language respectively. According from the results the MFCC with ZCR present the best result of anger class (81.95% accuracy) and happiness class (69.86% accuracy). Lastly, Delta-DeltaF0 with LPREFC works best for neutral class with 67.96% meanwhile only LPREFC resulted in the highest accuracy of 80.51% in sadness class.

6 citations

Book ChapterDOI
13 Sep 2009
TL;DR: In this paper, the dependence of the efficiency of the KTS algorithm on the choice of basis is explored, and three bases are considered: the power, the Bernstein, and the Chebyshev bases.
Abstract: In [1], Srijuntongsiri and Vavasis propose the Kantorovich-Test Subdivision algorithm, or KTS, which is an algorithm for finding all zeros of a polynomial system in a bounded region of the plane. This algorithm can be used to find the intersections between a line and a surface. The main features of KTS are that it can operate on polynomials represented in any basis that satisfies certain conditions and that its efficiency has an upper bound that depends only on the conditioning of the problem and the choice of the basis representing the polynomial system. This article explores in detail the dependence of the efficiency of the KTS algorithm on the choice of basis. Three bases are considered: the power, the Bernstein, and the Chebyshev bases. These three bases satisfy the basis properties required by KTS. Theoretically, Chebyshev case has the smallest upper bound on its running time. The computational results, however, do not show that Chebyshev case performs better than the other two.

6 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigated the distribution of potential of steel in patching-repaired concrete with and without patching and found that steel was more likely to be used for reinforced concrete.
Abstract: The main purpose of this study was to investigate the distribution of potential of steel in patching-repaired concrete. Reinforced concrete specimens were prepared with and without patching...

6 citations

Journal ArticleDOI
TL;DR: In this paper, the authors analyzed the changes in GHG emissions during 2005-2036 and found that non-metallic industry is the major GHG emitters, accounting for 86% of total GHG emission in this industry.

6 citations


Authors

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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20226
2021138
2020144
2019143
2018157
2017151