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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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Journal ArticleDOI
TL;DR: In this paper, the authors investigated the existing residents' behavior and their interest in behavior change for reducing home energy consumption and found that women are more likely energy-saving habits than men.

5 citations

Book ChapterDOI
25 Nov 2010
TL;DR: An approach for improving Thai text inputting via virtual keyboard on touch screen mobile phones by proposing a technique for character candidate selection to choose the most proper character sequence using trigram model for candidate selection.
Abstract: This paper introduces an approach for improving Thai text inputting via virtual keyboard on touch screen mobile phones. We propose a technique for character candidate selection to choose the most proper character sequence. The proposed approach consists of two main parts i.e. candidate character generation based on touch area, and trigram model for candidate selection. The candidate generation is used to acquire more than one character per one touch. We define the area nearby the touch point as a touch area. The area is defined based on the statistics collected from various users. The characters within the touch area are considered as a set of candidate characters. The candidates are weighted based on their distances from the touch point. Then, the character trigram model is applied to select the combination of characters with the highest probability suggested to user. In order to evaluate the performance of the proposed technique, we evaluate the word-level accuracy of the words generated by the proposed technique and the words generated by combining the characters with the shortest distances from the touch point. Our technique yields better performance. It produces the results with the accuracy of 93.29% in character level and 66.67% in word level, while the accuracy is 83.48% in character level and 48.33% in word level when the nearest characters are selected.

5 citations

Journal ArticleDOI
TL;DR: In this article, laboratory scale studies were carried out to determine the potential of using naturally fermented raw liquid from pineapple wastes as a source of citric acid in the extraction of Cr, Cu, Pb, Ni and Zn from anaerobically digested sewage sludge.

5 citations

Journal ArticleDOI
TL;DR: This paper presents a reduction method to compute a recently proposed model of PA called PABA, and designs inference procedures to compute the credulous semantics, the ideal semantics and the grounded semantics for a general class of PABA frameworks, that are referred to as BayesianPABA frameworks.

5 citations


Authors

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