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    Artificial Intelligence for the Classification of Plastic Waste Utilizing TinyML on Low-Cost Embedded Systems
    (2023-01-01) ;
    Tipsuwanporn, Vittaya
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    BCG’s implementation of the economy makes Thailand more environmentally conscious. The consolidation policy encourages consumers to eliminate single-use plastics using the 3Rs. This article introduces a solution to reduce plastic waste drastically using artificial intelligence. Utilizing a low-cost Arducam Pico4ML embedded device and TinyML, a plastic waste classifying system prototype is developed for plastic bottle segregation. The grayscale image datasets of PET, HDPE plastic bottles, and unknown objects are adjusted in the image pre-processing state and utilized to create trained models using MobileNetV2 convolutional-based neural network algorithms. Effective feature extraction and model training are performed on the Edge Impulse platform, and the trained model is exported to an embedded device using the optimized compiler. A further RS485 Modbus communication protocol feature enables integration with a programmable logic controller (PLC). The validation results of the trained model indicate a classification performance of 100% accuracy. Based on the average precision results, it is notable that the trained model can recognize the most common waste with an average accuracy of over 90%. The minimum classification rate of the MobileNetV2 quantized model is 249 milliseconds. It is also implemented in low-cost embedded devices for real-time plastic waste classification using fewer processing resources (185.4K ROM and 88K RAM). The findings exhibit sequential contributions that satisfy the criteria for classifying plastic bottles and the machine’s integration capacity. These outcomes are anticipated to foster social shifts in behavior and enhance public awareness about plastic waste management.
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    A design of fuzzy PID controller based on ARM7TDMI for coupled-tanks process
    (2012-12-01)
    Jaisue, Ronnapop
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    Tipsuwanporn, Vittaya
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    Pholkeaw, Phayupp
    This paper presents the design of Fuzzy PID controller based on ARM7TDMI for coupled-tanks process. The research is developed from previous studying of modified quadrupled-tanks process in the case of non-interacting second order process. The PID controller is designed by root locus technique, then it is improved a performance by combining with Fuzzy inference system for desired output response specification. Furthermore, PID Fuzzy inference system has been approximated into lookup table scheme for properly running on ARM7 embedded system. With the proposed method, the efficiency control algorithm can be performed on ARM7 platform that has a good performance and affordable costs. The experimental results have been shown that the design of Fuzzy PID embedded controller can achieve the performance specification requirement in level control. © 2012 ICROS.
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    Event-Based LQR Control for Rotary Inverted Pendulum Using Wireless Networked Control System
    (2023-01-01)
    Thongsakul, Baitong
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    Tipsuwanporn, Vittaya
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    Wireless communication introduces delays, packet losses, and data uncertainties, which can degrade the control's performance. To address these challenges, this paper presents an event-based Linear Quadratic Regulator (LQR) control approach for a rotary inverted pendulum system utilizing a Wireless Networked Control System (WNCS). To facilitate the control process, a WNCS is employed to transmit data between the rotary inverted pendulum and the controller via WiFi, a wireless network executing in the CYW43439 wireless chip of the Raspberry Pi Pico W development board. The wireless node consists of a sensor node, actuator node, access point node, and controller node, which transmit and receive data via the TCP/IP communication protocol. The event-triggering mechanism is integrated into the control loop. It allows the control algorithm to adaptively adjust the control update rate based on the system's dynamics and network conditions, ensuring efficient utilization of network resources while maintaining satisfactory control performance. The experimental results of hardware in the loop (HIL) in the MATLAB/Simulink real-time kernel show that the proposed event-based LQR control strategy can achieve balancing and improve resilience to network-induced disturbances, making it suitable for real-world applications where wireless network constraints are prevalent.
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    Design of PID controller for the modified quadruple-tank process using inverted decoupling technique
    (2011-12-01) ;
    Tipsuwanporn, Vittaya
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    Trisuwannawat, Thanit
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    Tirasesth, Kitti
    This paper presents the approach to design PID controller for a modified quadruple-tank process using inverted decoupling technique. In case of non-minimum phase, TITO system, such as modified quadruple-tank process which can't be controlled by PID controller with standard decoupling technique because the system can't be stabled by saturating manipulate signal. With the proposed method, The inverted decoupling controllers, decreasing the cross coupling between inputs and outputs, transform TITO plant transfer function model into SISO form so that SISO controller for each SISO model can be designed by Root Locus Technique easily and efficiently. PID controller with inverted decoupling can stabilize an unstable non-minimum-phase system and minimize several undesirable influences from an interaction in TITO process. The results from control system design can be illustrated by the experiments. © 2011 ICROS.
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    Improving the efficiency of water management system in biomass power plant using cyber-physical cloud computing
    (2018-08-01)
    Kungwalrut, Pranai
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    Kongratana, Viriya
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    Trisuwannawat, Thanit
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    Tipsuwanporn, Vittaya
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    Optimized water management strategies are among the most crucial concerns in a biomass power plant. Especially during the times of water scarcity, an improper water supply planning and operation result in a detrimental power generation or shut down processes. This paper aims to propose the cyber-physical cloud computing (CPCC), a mechanism of analysis and control physical process using cloud-based framework, in order to improve the efficiency of water management system in a biomass power plant. In this study, a 9.9 MW biomass power plant is implemented to investigate the performance of CPCC. The architecture of the proposed system consists of three physical tiers. The first tier is a tier of physical devices included with pressure, flow, pH sensors, water pumps and valves that are responsible for detecting the physical data and interacting with the water production process. The second tier is an edge computing device which functions as a controller, embedded server, data storage, gateway and switch to manage all operational tasks in an intranet area. The third tier is a cloud computing system which enables big data applications such as online monitoring and visualization of process operation, adaptive filtration fouling control, consuming water and total water cost analysis. The results validate the effectiveness of the proposed system as the ability of an adaptive fouling control system to adjust backwash scheduling and chemical dosing so that achieving the target of purified water quality even during the fluctuation of raw water qualities. Subsequently, the water treatment system can achieve the capability for optimal total water cost operations under a target permeate flow rate and the percent of the recovery. Significantly, the data analytics in the CPCC reflect current operational requirements of water under local climate conditions, likewise contribute to the practical solution for sustainable water resource planning in the energy production.
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    Design MRAC PID control for fan and plate process
    (2011-01-01)
    Kungwalrut, Pranai
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    Thumma, Maitree
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    Tipsuwanporn, Vittaya
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    This paper presents the method to achieve the design MRAC PID control for fan and plate process. The fan and plate process is another challenged problem for control system design because it has non-linearity characteristic and highly sensitivity for ambient disturbance. Thus tuning of PID parameter performs hardly by root locus or trial & error method. The proposed method presents design methodology of auto-adjustable PID controller using MRAC technique for solving the problems. The adjustable PID parameters corresponding to changes in plant and disturbance will be determined by referring to the reference model specifying the properties of desired control system. Therefore, this technique is convenient to control the process for satisfying the requirement of the system performance. © 2011 SICE.
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    The design of robust PID control for fan and plate process
    (2007-12-01) ;
    Tipsuwanporn, Vittaya
    This paper presents the method to achieve the characteristic equation of the Fan and Plate process by using Integral Step Response (ISR) and the controller of this plant is PID controller that designed by Root Locus Method. Since the fan and plate process is highly nonlinear model, it is interested to study the controller design. The plate angular position is actuated by the wind from the fan which is controlled by a DC-Motor. The angular position can be measured by a potentiometer which employed electrical signal via voltage divider circuit in order to be the feed back signal to the control loop. The characteristic equation and the parameter of controller can be obtained by MATLAB program.
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    The design of load/unload algorithm for 2.5'' hard disk drive in SSTW process
    (2012-12-01)
    Nakharin, Watsamon
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    Boonpranchoo, Vichitpon
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    Tipsuwanporn, Vittaya
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    To prevent striking of head to disc in servo track writing process, head velocity is controlled by ramp loading procedure for moving read/write head from ramp to disc surface properly. The author presents the approach to design load/unload algorithm for 2.5'' hard disk drive in SSTW process. The 2 Degree of Freedom PID Control Structure has been applied instead of conventional PID for VCM velocity control. Furthermore; we use Characteristic Ratio Assignment Technique for adjusting PID parameters in order to obtain less overshoot in output response. The experimental results tested with self-servo track writer PH4LC unit have been shown that 2DOF PID algorithm can achieve the performance specification requirement and reducing HDI problem in load/unload control of 2.5'' hard disk drive, efficiently. © 2012 IEEE.
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    Full-duplex star redundant system for visible light communication
    (2017-01-01)
    Tipsuwanporn, Vittaya
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    Chanthosot, Pokpoom
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    Krongratana, Viriya
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    The full-duplex star redundant system of visible light communication (VLC) for indoor utilization was developed by adding an IR transmitter into the slave part and an IR receiver into the master part of the previous system, which had only an LED as the transmitter and a photodiode as the receiver. This development allows the system to be capable to transmit and receive images and audios in addition to mere texts as before. The transmitted data were encoded with the technique of Manchester encoding, and then tested with 3 types of photodiodes namely VBPW24R, FDS10X10, and OSD100-E. The data transmission was backed up with 3 LED modules that were controlled by an Arduino microcontroller in case one of the modules is damaged. Moreover, the system has functionality in notifying users via the status monitor to check when malfunction happens with any module.
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    The speed control of induction motor using 11-level inverter
    (2013-07-12)
    Tipsuwanporn, Vittaya
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    Phipek, Kowit
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    Khaengsarigid, Adisak
    In this paper, control of the output voltage in 11-level inverter is presented. The inverter is controlled by using pulse width modulation (PWM) technique. A novel 11-inverter source fed induction motor drive with sinusoidal voltage and current waveform is proposed. Variable frequency inverters to high precision in order control the speed of induction motor. The current in the inverter source can be controlled as constant or vary the magnitude of inverter current reference. The propose is controlled speed and decreased total harmonic distortion (THD) of output in the inverter which it fed to induction motor with V/F control.