Anuwongpinit, Thanavit
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Preferred name
Anuwongpinit, Thanavit
Alternative Name
Anuwongpinit, T.
Main Affiliation
Email
thanavit.an@kmitl.ac.th
13 results
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Item type:Publication, INTERNET OF THINGS BASED PRACTICAL SMART ENVIRONMENTAL MONITORING SYSTEM FOR POULTRY FARM(2026-01-01); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, IoT-based Water Quality Monitoring Station and Forecasting System with Machine Learning(2025-01-01); This paper presents an IoT-based water quality monitoring and forecasting system designed for real-time and continuous assessment of water resources. The system integrates Siemens SIMATIC IOT2050 as an Industrial IoT Gateway, which collects data from sensors measuring conductivity, pH, dissolved oxygen, and temperature using RS485 Modbus RTU communication. Data processing occurs at the edge using Node-RED and is transmitted to AWS Cloud via MQTT for storage and visualization on a dashboard. Predictive analysis employs machine learning models, including XGBoost with Optuna parameter tuning and Long Short-Term Memory (LSTM) networks, for water quality forecasting. Results indicate superior performance of LSTM for most parameters, while XGBoost excels in pH prediction. This system demonstrates scalability, reliability, and potential for enhanced water quality management in diverse environments. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Optimized Gaussian Pulse Design for UWB System Using Particle Swarm Optimization Based-on Generalized Bessel Polynomials(2022-01-01); ; ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Learning Process during the COVID-19 Crisis, Selected Topics in Telecommunication Engineering subject, Department of Electronics and Telecommunication Engineering, RUS, Thailand(2021-01-01); This article presents a learning process during the COVID-19 crisis, used in selected topics of telecommunication engineering subject, department of Electronics and Telecommunication Engineering, Faculty of Engineering and Architecture Rajamangala University of Technology Suvarnabhumi. The sample consisted of 19 students, enrolled in the selected topics of telecommunication engineering course by selecting a specific sample group. The researcher presented a learning process during the COVID-19 crisis with the orientation of students for the same understanding and then teaching according to the given process. Finally, there are three aspects of satisfaction with learning processs during the COVID-19crisis assessed. The results showed that in all of the three aspects, having a very good level of students' satisfaction with an arithmetic mean of 4.614 and a standard deviation of 0.46 (\overline{X}=4.614, S.D. = 0.46) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Hybrid learning during the COVID-19 pandemic of engineering students at KMITL, Thailand(2021-01-01); ; Archevapanich, TuanjaiThis article presents the hybrid learning model during the COVID-19 for students of Agro-Industrial Systems Engineering who enrolled in the course embedded system, course code 01386304, Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang for 29 students by selecting a specific sample group. The researcher presented a hybrid learning model during the COVID-19, where students were orientated for the same understanding and followed by teaching as active learning formed project-based learning. Finally, we assessed five aspects of hybrid learning satisfaction during the COVID-19. The evaluation results revealed that the students' satisfaction was at a good level and their arithmetic mean was 4.206 and the standard deviation is equal to 0.74 (X = 4.206, S.D. = 0.74) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Development of IoT portable device for saline water monitoring in Bang Kachao Area of Thailand(2023-01-01); ; This research developed a portable water salinity measurement device using internet of things technology to support farmers in Bang Kachao area in Samut Prakan province, Thailand, to select quality water for cultivation and consumption. The system hardware consists of a microcontroller ESP32 with a GPS module and an electrical conductivity sensor with an analog-to-digital conversion module for saline water measurement. This device can connect to an internet system via a Wi-Fi network and MQTT protocol to transmit the data of saline water value and measuring location to the cloud system. In the cloud system, the node-red system software is installed as a data gateway for device interfacing. In addition, a node-red dashboard is used to collect data from a portable device and previously installed water quality monitoring station for visualizing a portable device location and saline water data. This dashboard is a web page that allows people to monitor the water situation in the area that is suitable to use. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Medical Drone Managing System for Automated External Defibrillator Delivery Service(2022-04-01); ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Athletes movement tracking device for soccer players(2021-05-19) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Engineering Education Roadmap of the Future Trend of Basic Metaverse based on VR with cooperation between the government and the private sector(2022-01-01); ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Multi-sector Collaboration for Students of different levels to Learn Digital Technology Skills using Competency Assessment from Learning to Create pieces with a 3D printers for Young Innovators Case Study: MogroWittayakom School(2024-01-01)