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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 presented two models: one for predicting the electrical resistivity of concrete and the other for the corrosion potential of reinforcing steel, which were developed based on the prediction models developed by the authors.
Abstract: This paper presents two models: one for predicting the electrical resistivity of concrete and the other for the corrosion potential of reinforcing steel. The prediction models were developed based ...

8 citations

Proceedings ArticleDOI
01 Nov 2019
TL;DR: A new gender classification technique from a gait silhouette using observation angle-based GEIs to predict gender is proposed, which outperforms the existing models in both freestyle and fixed-direction walk datasets.
Abstract: Gender classification is in high demand because of its versatility. It can be used as a surveillance system for security. It can also be used to classify customers in retail establishments. In this work, we propose a new gender classification technique from a gait silhouette using observation angle-based GEIs. The system consists of two main parts: the observation angle classification model and the gender classification model. The observation angle classification generates 10 observation angle-based GEIs. The gender classification model uses angle-based GEIs to predict gender. The proposed methods perform well with freestyle walks which contain a viewpoint issue. The proposed model achieves 90.74% accuracy in the freestyle walk dataset (SIIT-CN-B) and 97.58% on the CASIA-B (fixed-direction walk) dataset. The proposed model outperforms the existing models in both freestyle and fixed-direction walk datasets.

8 citations

Journal ArticleDOI
TL;DR: In this article, sequential chemical extraction was done to assess the effect of drying on fractionation of cadmium (Cd), chromium (Cr), copper (Cu), lead (Pb), nickel (Ni), and zinc (Zn) on anaerobically digested sludge samples in Bangkok, Thailand.
Abstract: Metal fractionation studies on metals in sludge are usually done on dried sludge. Although there are advantages in this form of sludge, it is possible that fractionation of metals in sludge may be influenced by the drying process, which consequently affects mobility of metals at disposal. In this study, sequential chemical extraction was done to assess the effect of drying on fractionation of cadmium (Cd), chromium (Cr), copper (Cu), lead (Pb), nickel (Ni), and zinc (Zn) on wet and dewatered (air-dried and oven-dried) anaerobically digested sludge samples in Bangkok, Thailand. Results revealed an insignificant difference in the fractionation profile of metals for both wet and dewatered sludge. The higher percentage of residual fraction for Cu and oxidizable fraction for Zn in the wet sludge, however, makes this form more suitable for direct land application. In the case of oven-dried and air-dried sludge, the forms of some metals (e.g., Pb and Zn) seem to vary significantly as the sludge is oven-dried, wi...

8 citations

Proceedings ArticleDOI
22 Mar 2015
TL;DR: In this paper, the authors study the impacts of electric vehicle (EV) home chargers on a typical three-phase distribution transformer (DTR) in distribution grid and focus on the DTR loading and voltage imbalance.
Abstract: We study impacts of electric vehicle (EV) home chargers on a typical three-phase distribution transformer (DTR) in distribution grid. We focus on the DTR loading and voltage imbalance. We focus on the distribution grid operated by the Provincial Electricity Authority (PEA), which is a major utility provider in Thailand. We determine the maximum number of the EV chargers that can be supported by a DTR assuming the current typical base load profile and no coordinated charging scheduling exists (that is, the EV chargers start operation right at the time they are plugged in). For the typical base load profiles, we found that that DTR loading is more critical than the voltage imbalance and the maximum number of EV’s per phase is 3, 6, 10, and 14 for the 50, 100, 160, and 250 kVA DTR, respectively.

8 citations

Journal ArticleDOI
TL;DR: In this paper, a potential approach to solve biofilm formation is developed by functionalization of chitosan-based membranes with benzalkonium chloride (BKC), and the composite membranes demonstrate better antibacterial efficacy against Staphylococcus aureus than Escherichia coli.
Abstract: Biofouling due to biofilm formation is a major problem in ultrafiltration membrane applications. In this work, a potential approach to solve this issue has been developed by functionalization of chitosan-based membranes with benzalkonium chloride (BKC). The chitosan composite membranes consisting of poly(ethylene glycol) (PEG), multiwalled carbon nanotubes (MWCNT), and BKC were synthesized by mixing the membrane precursors and the antibacterial solution, and casting via an inversed phase technique. The effects of the BKC content on the morphology and performance of the membranes are investigated by varying the BKC feed compositions. The composite membranes demonstrate better antibacterial efficacy against Staphylococcus aureus than Escherichia coli. The permeability and selectivity performances of the composites as filter membranes are examined by employing a dead-end filtration system. Interestingly, enhanced toughness of the membranes is observed as a function of the BKC content. Mechanisms of the structural formation are investigated. The results from SEM, XRD, and FTIR spectroscopy revealed that MWCNT/BKC are located as nanoclusters with π–π stacking interactions, and are covered by PEG chains. The shape of the dispersed domains is spherical at low BKC contents, but becomes elongated at high BKC contents. These act as soft domains with an anisotropic shape with toughening of the brittle chitosan matrix, leading to enhanced durability of the membranes, especially in ultrafiltration applications. The composite membranes also demonstrate improved rejection in dead-end ultrafiltration systems due to high porosity, high hydrophilicity, and the positive charges of the membrane surface.

8 citations


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