Projects
Explore innovative research and development projects from TONKIT Lab.
Noise map
Developing tools can create a noise exposure contour data using information from a variety of sources, including iOT devices, mobile applications, and chatbots from Line applications with their geographic position overlay on a map.
Aircraft Noise Calculator
The development of the calculation algorithm using machine learning for a single flyover aircraft noise event to determine cumulative aircraft noise levels may affect people living in the vicinity community.
Sentiment Analysis
Sentiment analysis models provide powerful AI to analyze textual data to classify sentiment as positive, negative, neutral.
Data Management System for Noise Field Recorder
Software development for noise field recorder (iOT device)
Web-Based Issue Reporting System for the Faculty of Science and Technology, Thammasat University
This project enhances the issue reporting process by transitioning from a paper-based system to a mobile and web-based solution, allowing users to report problems efficiently without the need for app installation.
A Digital Twins Prototype for CSTU Building
The development of a proof-of-concept digital twin for managing a building.
Decision Making in Digital Twins with Various Display Environments
The monitor project assesses display environments for decision-making in digital twin building management.
Digital Twin Visualization and Interaction on SAGE2
The SAGE2 Digital Twin project enables real-time data sharing and multi-window visualization for building management.
Analysis of Thai Fake News Using Naïve Bayes Models
Using Naïve Bayes models to revealing the evidences of fake news in Thai news