Anuwongpinit, Thanavit
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Preferred name
Anuwongpinit, Thanavit
Alternative Name
Anuwongpinit, T.
Main Affiliation
Email
thanavit.an@kmitl.ac.th
26 results
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Item type:Publication, Sine-Squared pulse approximation using generalized bessel polynomials(2019-05-29); ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Design and Implementation of a Hybrid Real-Time Salinity Intrusion Monitoring and Early Warning System for Bang Kachao, Thailand(2025-07-01); ; ; Sirikaew, UbaSalinity intrusion is a growing threat to freshwater resources, particularly in low-lying coastal and estuarine regions, necessitating the development of effective early warning systems (EWS) to support timely mitigation. Although various water quality monitoring technologies exist, many face challenges related to long-term sustainability, ongoing maintenance, and accessibility for local users. This study introduces a novel hybrid real-time salinity intrusion early warning system that uniquely integrates fixed and portable monitoring technologies with strong community participation—an approach not yet widely applied in comparable urban-adjacent delta regions. Unlike traditional systems, this model emphasizes local ownership, flexible data collection, and system scalability in resource-constrained environments. This study presents a real-time salinity intrusion early warning system for Bang Kachao, Thailand, combining eight fixed monitoring stations and 20 portable salinity measurement devices. The system was developed in response to community needs, with local input guiding both station placement and the design of mobile measurement tools. By integrating fixed stations for continuous, high-resolution data collection with portable devices for flexible, on-demand monitoring, the system achieves comprehensive spatial coverage and adaptability. A core innovation lies in its emphasis on community participation, enabling villagers to actively engage in monitoring and decision-making. The use of IoT-based sensors, Remote Telemetry Units (RTUs), and cloud-based data platforms further enhances system reliability, efficiency, and accessibility. Automated alerts are issued when salinity thresholds are exceeded, supporting timely interventions. Field deployment and testing over a seven-month period confirmed the system’s effectiveness, with fixed stations achieving 90.5% accuracy and portable devices 88.7% accuracy in detecting salinity intrusions. These results underscore the feasibility and value of a hybrid, community-driven monitoring approach for protecting freshwater resources and building local resilience in vulnerable regions. - Some of the metrics are blocked by yourconsent settings
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, Identity checking system by visible light(2014-01-01); ; Dumrong, JirattawutA new identity checking system by visible light can fulfill some limitations of QRCode and RFID technology wherewith this system can check further distance. This paper is a model to be applied to other areas. In this system, the communication between LED Blinking and camera consists of transmitter and receiver. Transmitter is a microcontroller to control LED for blinking pattern one pattern for one identity of object and save in database. Receiver consists of camera to detect LED blinking by image processing. When detecting LED blinking receive code for identity of object then get code to check identity with database. This system can be applied to various such as security, advertising, identify system, and etc. © 2014 IEEE. - 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, Implementation of ECG portable device for real-time signal monitoring(2017-11-24); ; ; Aoyama, H.In this paper presents a system for heart rate signal analysis in ECG (Electrocardiography) format using STM32f7 board. Electrode is used for recording the signal with stick on body in lead 2 orientations. Signal processing method are used upper average, slope and interval checking algorithm to process ECG signal in real-time. In experiment, to acquire a frequency of heart beat and display ECG signal and heart rate on STM32f7 board compare with wearable device that result have error rate less than 1%. This system is portable to use and sufficient battery for recording signal to analyze and monitor throughout the day. - 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, Approximation of sine-squared pulse with additional transmission zero using bessel polynomials(2017-11-24); ;