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.

Monitoring Water Quality in Lien Son Irrigation System of Vietnam and Identification of Potential Pollution Sources by Using Multivariate Analysis

Abstract: The objective of this study is to evaluate the water quality of the Lien Son irrigation system in Vietnam and identify the critical pollutants that affect the system’s water quality. Firstly, the water quality at fifteen locations distributed along the main Lien Son drainage and irrigation canals was monitored in the dry season (from January to March) for 3 consecutive years (2018, 2019, and 2020) to collect nine physical, chemical, and microbiological parameters. And then, principal component analysis (PCA) and factor analysis (FA) were applied to extract and identify the critical pollutants which helps to preliminarily detect the potential pollution sources to the irrigation system. Results of PCA and FA showed the principal groups of pollutants which had a significant influence on the water quality of the system. Sampling locations LS7 and LS8 had the heaviest pollution. The primary factors that influenced the pollution of the system were organic matter (COD and BOD5), nutrients (N-NH $_{4}^{+}$ and P-PO $_{4}^{3-}$ ), sediment transport (turbidity and TSS), and coliform. These factors are usually associated with the sources of domestic wastewaters and agricultural runoff from the vicinity. This suggested that urgent actions should be taken to control domestic wastewaters and agricultural runoff from the vicinity so that they could not deteriorate the water quality of the system.

A robust adaptive control algorithm for remotely operated underwater vehicle

Abstract: A robust adaptive control algorithm is developed for a remotely operated vehicle (ROV) that maneuvers underwater. The robotic vehicle uses a joystick to control horizontal motion, with embedded sensors for automatic control of certain degrees-of-freedom (DOFs). The system employs an adaptive controller with bound estimation to provide robustness to parametric uncertainties and external disturbances. The adaptive control law contains a switching σ modification to solve the problem of parameter drift. The performance of the proposed system is tested and verified against existing controllers through numerical simulation.

Long-term food waste management in Phnom Penh utilizing a system dynamics modeling approach

Abstract: Phnom Penh has a high number of people. With more people, it is expected that food waste issues will be severe. To properly manage food waste, it is necessary to identify the key factors affecting food waste management, and examine the interactions among those key factors to effectively plan for long-term management. This study develops a dynamics model of food waste management, considering vegetables as the main waste, to examine the trends of food waste in Phnom Penh and plan for long-term management. The developed dynamics model considers two types of waste, household and retailer wastes. The simulation results reveal that most food wastes are from households. They are mainly from preparation processes and inappropriate packing sizes. The results show that with a smaller percentage of waste in preparation processes, food wastes going to a landfill decrease. The use of smaller-size packs (250 g and 350 g) also helps to minimize food wastes. The simulation results also suggest the use of biodigesters, to convert food waste to energy and reduce landfill waste in the long term. Local communities, local authorities, and governments can use this study to plan for long-term food waste management, to reduce food waste and mitigate landfill problems.