Purahong, Boonchana
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Purahong, Boonchana
Alternative Name
Purahong, B.
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Email
boonchana.pu@kmitl.ac.th
75 results
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Item type:Publication, Approximation of the maximally flat filter by using Bézier curve with an exponential function(2020-02-24); ; This paper presents a design of filter by using Bézier curve with an exponential function. This paper used the advantage of The Bézier curve which had ability for approximation and an exponential function which had the adaptable parameters of the polynomial. It can adjust the characteristic of frequency response for the best performance. The simulation results of various setting show the frequency response, step response. The comparison of response between the Bernstein filter and Butterworth filter in order two show that the rise time of Bernstein filter better than Butterworth filter and Bézier curve filter has not overshoot. Furthermore, the stability Nyquist criterion has been used to guarantee the stability of the transfer function. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Blood Vessel Extraction and Optic Disk Localization for Diabetic Retinopathy(2020-09-15); ; ; Benjangkaprasert, ChawalitThis paper presents methods of vascular extraction and optic disk localization in the retinal images. Our approach begins with preprocessing to improve the quality of blood vessels. In the next step, a matrix filter was applied to express blood vessels. Finally, the blood vessel structure was used to estimate the location of the optic disk. The proposed method was tested on all different forty retinal images from the DRIVE database, which public retinal image dataset. The results of vessel extraction were compared with the ground truth image. The error of vascular extraction showed that the average sensitivity and accuracy were 79.81% and 94.98%, respectively. The optic disk localization achieved 97.5%. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Student development towards innovation in the information engineering curriculum of faculty of engineering, KMITL(2020-11-04); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Automated resource management system based on kubernetes technology(2021-05-19); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Learning the basics of microcontroller starter kit boards AVR (eSnack)(2013-12-01)This paper presents the development of a low-cost experiment board used AVR microcontroller for in class at KMITL to starter board. Caused of this family chipset are easy for development, be convenience and more database. There is the main reason for developed starter board to be more compacted and more simplified. The board microcontroller edit by C language, power supplied by computer USB port. Input of this experiment result can be detected output signal from other sources which it showed result to buzzer and 8 bit LED display. All described of this paper installed on this starter board size 2.3×6.3cm expense of this board around 30 US$ and we were called eSnack board. © 2013 IEEE. - 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, Information Engineering Course Management in Faculty of Engineering, KMITL towards excellence(2021-01-01) - 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, Optimal bumping avoidance for snake-like robot's serpentine movement controlling(2007-12-01)This paper shows the development of controlling system of snake robot's movement in order to make the Serpentine movement more effective when it goes into narrow path. Snake robot consists of many servo motors serially linked to each other and has its length like a medium-sized snake's. This controlling system measures the side lengths, which are inputs, from the sensors attached on the head of the robot. The robot then processes the inputs and uses them to control the width of crawling in order to perform the crawling at the best speed on limited path. The ways to control it to move forward, backward, left, right, and algorithms used to control are already explained. The result of this experiment, which is an achievement of movement in different locations, shows that it works effectively. © ICROS. - 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.