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Author: search.filters.author.Chatpoj, Montri

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    Automatic Smoke/Forest Fire Detecting System based on Visual IoT
    (2025-01-01)
    Tungpimolrut, Kanokvate
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    Karnjana, Jessada
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    Chatpoj, Montri
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    Kitbutrawat, Nathavuth
    ;
    Pavarangkoon, Praphan
    In this paper, a visual IoT system or IP camera system for early detection of smoke/forest fire has been investigated. The overall system implementation including hardware and software as well as system installation in targeted areas in Chiangmai, Thailand have been also described. The dataset construction, the preliminary model development and testing have been conducted based on YOLOv5. The model improvement based on Fast Segment Anything Model with YOLOv11 has been proposed to improve False Positive. The results show good performance of Mean Square Error.
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    Fuzzy strategy with overshoot suppressor for electronic throttle control
    (2016-05-09)
    Jansri, Anurak
    ;
    Chatpoj, Montri
    ;
    Phatrapornnant, Teera
    ;
    Sooraksa, Pitikhate
    Electronic throttle actuator is a nonlinear device which has various factors, such as delay time of backlash, gear friction, throttle valve friction and stiffness of spring, can affect to the responsiveness of vehicle control. The major impact on electronic throttle control is the return spring load. It can cause both overshoot and undershoot behaviors while the electronic throttle operates. This paper presents an overshoot/undershoot suppressor technique by using anti-windup algorithm with simple architecture to eliminate unwanted behaviors. In the experiment, a conventional PID controller and the proposed fuzzy-PI controller are used, and also implemented into microcontroller chip. In addition, this paper reveals a single phase driver circuit for hardware setup. The experiment results show that the controllers with proposed overshoot suppressor can perform effectively. The controller performance is evaluated by using standard criteria: an integral of square error (ISE), an integral of absolute error (IAE), a maximum overshoot (OVM) and a maximum settling time (STM).
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    Floating robots by fuzzy algorithm
    (2004-12-01)
    Chatpoj, Montri
    ;
    Purahong, Boonchana
    ;
    Thossansin, Thossaporn
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    Sooraksa, Pitikhate
    This paper is talking about using Fuzzy PI controller in order to help controlling the gap in magnetic levitation system (Maglev). The details of this paper concerns about the model of maglev system which is applied to floating robot; it is also about how to use Fuzzy PI controller for assisting the maglev system in order to make this system more accurate and faster. From the simulation which compared the reactions between Fuzzy PI and the original PI, it showed that Fuzzy PI had faster response without swaying the output values while it was reaching the setpoint values. Therefore, the Fuzzy PI is suitable for using to control the Maglev system in floating robot.