Showing papers by "Sirindhorn International Institute of Technology published in 2022"
TL;DR: In this article, the relationship between absorptivity in terms of absorption/desorption kinetics and retention of the absorbed liquid and the polymer physico-chemical principles is discussed and the use and effects of superabsorbent polymers in concrete are outlined and explained mechanistically.
51 citations
TL;DR: In this article, the authors reviewed the nitrogen removal process in various microbial fuel cells (MFC) configurations, factors that influence this process, and challenges that should be overcome in future studies.
23 citations
TL;DR: In this paper, the temporal amplitude envelope of a reverberant speech signal is mapped to the parameters of an RIR model for each sub-band, which is used to approximate an unknown RIR so that the STI and room-acoustic parameters can be derived.
6 citations
3 citations
TL;DR: In this paper, a halogen-free process has been developed by using ozone as an effective, low-cost, and environmentally-friendly alternative in the generation of TEMPO+.
2 citations
DOI•
01 Jan 2022
TL;DR: In this paper, a real-time monitoring based on wireless sensors networks (WSN) and remote sensing techniques is used to detect changes in satellite imagery and 3D point clouds.
Abstract: Many areas in the northern region of Thailand are mountainous and subject to landslides. A landslide causes local damage to a particular area; in addition, it induces nearby prone areas trans-regionally. Therefore, monitoring landslide-prone areas can help in risk assesment and management to efficiently handle a situation. This paper reports collaborative research activities and results of projects endorsed by ASEAN COSTI and e-Asia JRP. It aims to investigate potential landslides’ environmental parameters and conditions using real-time monitoring based on wireless sensors networks (WSN) and remote sensing techniques. The WSN, equipped with a camera, is designed based on low-power technologies (i.e., ZigBee and LoRa), and the performance is evaluated and compared in terms of communication packet losses. Also, remote sensing techniques are used to detect changes in satellite imagery and 3D point clouds. For example, k-means clustering and structural patch decomposition are applied to generate a binary map that locates change between two satellite images of different times. A deep-learning approach based on CNN is used to identify locations of landslides. The density-based spatial clustering and a clutter-removal method are used to detect rockfall events from two 3D point clouds.
2 citations