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    Low-Cost Glass Fiber-Reinforced Polymer Composite Wraps for Strengthening Deep Beams with and without Longitudinal Openings
    (2025-08-01)
    Rodsin, Kittipoom
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    Ejaz, Ali
    ;
    Hussain, Qudeer
    ;
    Suthasupradit, Songsak
    ;
    Parichatprecha, Rattapoohm
    This is a preliminary work on the application of low-cost glass fiber-reinforced polymer composites (Lo-Gs) wraps to enhance the structural response of shear-critical deep beams with and without openings. This study explores the performance of nine deep beams divided into three groups depending on the existence and number of longitudinal openings: solid section beams (Group 1), beams with one opening (Group 2), and beams with two openings (Group 3). Each group consisted of one unstrengthened beam and two beams strengthened with either one or two layers of Lo-Gs wraps. The results showed that Lo-Gs confinement effectively delayed failure in strengthened beams, while having minimal impact on the sudden failure behavior of unstrengthened specimens. Solid section beams exhibited peak load increases of 12.1% and 20.2% with one and two wraps, respectively. In contrast, beams with openings demonstrated higher but more variable strength gains. The presence of longitudinal openings diminished the effectiveness of the wraps in improving ultimate deflection and energy dissipation. While solid beams achieved up to a 130.1% increase in energy dissipation, beams with one and two openings showed lower gains of 63.4% and 57.0%, respectively. Existing design models, calibrated for synthetic FRPs, poorly predicted the behavior of beams with Lo-Gs wraps and neglected the effects of openings, emphasizing the need for further research and model development to address these limitations.
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    A Low-cost Autonomous Lawn Mower with AI-Based Obstacle Avoidance and GPS Guidance System
    (2025-07-01)
    Kosri, Thanapon
    ;
    Seekhamharn, Tossawat
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    Phoonsrichaiyasit, Phasawut
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    Khungpo, Poowadon
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    Sirisuk, Phaophak
    This paper presents a cost-effective robotic system capable of manual control via RF remote and autonomous navigation using GPS-based information. The system employs artificial intelligence to dynamically classify and avoid non-grass obstacles, ensuring safe operation in real environments. The prototype integrates affordable hardware including Arduino board, sensors, actuators and Raspberry Pi with lightweight algorithms to balance performance and cost. Experimental validation confirms its ability to follow predefined paths with ±1.5 meters deviation in open area and 90% obstacle avoidance success rate. With a total hardware cost under $200, this prototype highlights feasibility for larger-scale implementation.
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    A low-cost portable 3D human motion analysis system: An application of gait analysis
    (2017-07-02)
    Yodpijit, Nantakrit
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    Jongprasithporn, Manutchanok
    ;
    Pongmit, Kengkaj
    ;
    Sittiwanchai, Teppakorn
    Human movement is fast and complicated. Human movement analysis systems are used in occupational biomechanics to have a better understanding of the kinematics of human movement. The purpose of the current research project is to create a low-cost portable human movement analysis system that can be used to investigate human movement for three-dimensional (3D) kinematics analysis using two cameras in an application of gait analysis. This gait analysis system performs image analysis with MATLAB. The design and development method has five major steps, which include (1) the design and calculation of XYZ coordinates (body segment), (2) the design and development of human movement analysis system, (3) the design and development of system calibration, (4) the determination of a 3D Cartesian system, and (5) the design and development of human movement tracking and recording systems. Findings indicate that the total costs of a human movement analysis systems are currently less than 1,500 USD. In addition, this human movement analysis system has many practical uses for outdoor research projects.