Suesut, Taweepol
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Suesut, Taweepol
Alternative Name
Suesut, T.
Suesut, Taweepon
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taweepol.su@kmitl.ac.th
17 results
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Item type:Publication, Optimal Design and Installation of Solar Rooftop for Thai government building(2025-01-01); ; This research presents an approach for installing grid-connected solar cells on the rooftops of a prototype building in Thailand to offset electricity consumption, aligning with TOU electricity pricing. It includes design methods, energy-saving calculations, and illustrates the savings from solar cell installation over a one-year period, without accounting for solar cell deterioration or system loss charges. The study compares the concept of installing solar cells on the rooftop based on the building's electricity usage characteristics, distinguishing between installing solar cells across the entire rooftop area and according to the building's electricity usage behavior during daytime and working days, ensuring minimal electricity remains while still being sufficient for use. Furthermore, it calculates the comparison before and after installation to provide information for rooftop installation on the prototype building. The research results indicate that installing solar cells across the entire rooftop area can save electricity costs up to 550,000 THB per year. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Two-Quadrant Current-Mode Logarithmic and Anti-logarithmic Amplifiers with Temperature CompensationThis paper proposes circuit topologies for realizing two-quadrant current-mode logarithmic and anti logarithmic amplifier configurations with temperature compensation. The design approach employs the translinear approach to generate the output currents that directly correspond to the absolute values of the logarithmic and anti logarithmic functions. The proposed circuits can operate at a low-level supply voltage of 2V with both input and output current signals. A detailed examination of the non-ideal circuit performance has also been considered. To validate their functionality and illustrate their superior thermal stability, the developed circuits have been simulated. All simulations were conducted via PSPICE for a real bipolar transistor model of the HFA3096 technology. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Estimating the Power Losses in Induction Motor using Temperature Monitoring(2025-01-01); ; The paper proposes the estimation of power losses in electrical machines using a measurement technique based on the temperature of the electrical machine and the heat transfer equation. To demonstrate this concept, the heat diffusivity of the induction motor can be illustrated through thermal images. This research addresses the impact of supply voltage unbalance on power loss in induction motors. The system comprises A contact temperature measuring circuit utilizing the IC LM 35DZ as a temperature sensor and signal converter, paired with a computer equipped with a National Instruments PCI 6014 data acquisition card. The experiment was conducted by adjusting the phase unbalance to 10%, 20%, and 50% to observe temperature changes. This allows for a direct temperature in the induction motor. The primary advantage of this method is that the machines do not need to stop or be removed from their operational process to measure their losses during preliminary maintenance. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, An investigation of oil residue on surface by infrared thermography(2020-01-01); ; This work aims to propose a visual inspection, infrared thermography technique, of oil residual mass on stainless steel surface (SS) (hydrophilic surface representative) and polytetrafluoroethylene (PTFE) surface (hydrophobic surface representative). An improved understanding of the oil fouling characteristic is a key point to develop this technique. The effect of surface roughness on the oil contact angle, oil residual mass, and the resulting average temperature of the residues on SS and PTFE surface was studied. For the infrared thermography technique, the mass of oil adhered to each interface using heating at a temperature of 80<sup>0</sup>C for 10 minutes. SS AISI 304 plaques with the average surface roughness of 0.4, 0.8, and 3.2 µm and PTFE with that of 0.4 and 0.8 µm were examined. All samples were snapped top view using a thermal image camera. The average temperatures were obtained from the color spectrum of the thermal images. It could be summarized that the proposed measurement is possible to detect the accumulation of oil on the SS whereas it was not clearly different that on the PTFE surface. A greater oil residual mass on both hydrophilic and hydrophobic surfaces is a result of an increase in surface roughness and sequential wettability from the contact angle as expected. Moreover, each liquid-solid interfacial material has its specific surface characteristic. Finally, each liquid-solid interfacial material has its specific surface characteristic and the new and used oil-SS interface could be detected by infrared thermography technique. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Active tunable lossy inductance simulation using single fully balanced voltage differencing buffered amplifier(2021-03-01); Two active configurations for simulating tunable floating and grounded lossy inductors are described. Each simulated inductor circuit contains only a single fully balanced-voltage differencing buffered amplifier (FB-VDBA), one resistor, and one capacitor. The equivalent values of the simulated elements can be tuned independently through the FB-VDBA’s bias current and/or the resistor in the circuit. Non-ideal analysis of the synthetic inductors is also provided. The practical use of the proposed FB-VDBA based lossy inductance simulators is demonstrated on both a second-order RLC low-pass filter and a parallel RLC resonance circuit. PSPICE simulation results are provided to evaluate the presented theory. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, DEVELOPMENT OF OBJECT DETECTION AND CLASSIFICATION WITH YOLOV4 FOR SIMILAR AND STRUCTURAL DEFORMED FISH(2022-03-31); ; Food scarcity is an issue of concern due to the continued growth of the human population and the threat of global warming and climate change. Increasing food production is expected to meet the challenges of food needs that will continue to increase in the future. Automation is one of the solutions to increase food productivity, including in the aquaculture industry, where fish recognition is essential to support it. This paper presents fish recognition using YOLO version 4 (YOLOv4) on the «Fish-Pak» dataset, which contains six species of identical and structurally damaged fish, both of which are characteristics of fish processed in the aquaculture industry. Data augmentation was generated to meet the validation criteria and improve the data balance between classes. For fish images on a conveyor, flip, rotation, and translation augmentation techniques are appropriate. YOLOv4 was applied to the whole fish body and then combined with several techniques to determine the impact on the accuracy of the results. These techniques include landmarking, subclassing, adding scale data, adding head data, and class elimination. Performance for each model was evaluated with a confusion matrix, and analysis of the impact of the combination of these techniques was also reviewed. From the experimental test results, the accuracy of YOLOv4 for the whole fish body is only 43.01 %. The result rose to 72.65 % with the landmarking technique, then rose to 76.64 % with the subclassing technique, and finally rose to 77.42 % by adding scale data. The accuracy did not improve to 76.47 % by adding head data, and the accuracy rose to 98.75 % with the class elimination technique. The final result was excellent and acceptable. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The Influence of Measuring Location on Volume Estimation by Shadow Casting Method(2024-01-01); Sukprasertchai, SiwakornNon-contact inspection has dominated various industries for many years, particularly in the field of food and agricultural processes. Volume estimation can be achieved by volumetric imagery or 3D reconstruction. The casting of shadows or shape by shading is an active technique that can be utilized to generate volumetric imagery. By evaluating the length of shadows, the object height data can be achieved, and the transformation of image coordinates to world coordinates is facilitated by means of homography transformation. The width, length, and height of object edges along the entirety of its length are employed to reconstruct virtual slices. The integration of these virtual slices enables the estimation of the object's volume. This research studied the variation of the measuring locations, three different diameters spherical balls 38mm, 50mm, and 80mm are used as test materials. The percentage of errors in volume obtained from all sections by shadow casting were compared to computation volume of sphere formula is approximately -1.6 %, -1.13 %, and - 6.60%, respectively, depending on the size of the object. Furthermore, a visualization-based analysis is presented which has no significant difference. From this studied, it can be concluded that this method is valuable in estimating the volume of axially symmetrical objects. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Monitoring of Food Fouling in A Plate Heat Exchanger Using Heat Flux Sensor(2025-01-01); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Inspection of Heat Seal Packing Bag Integrity Using Thermal Images With YOLO Algorithm(2025-01-01); ; This paper presents an inspection of heat seal packing bag integrity using thermal imaging with a deep learning technique. The performance was evaluated by comparing the object detection rates obtained from the YOLOv4-Tiny Algorithm and the Convolutional Neural Network (CNN) technique. Two sets of completely sealed and failure-sealed packaging bags were prepared for the training (100 bags) and testing (100 bags) of the models. Some sample bags containing tomato sauce inserted between the seals represent a failure-sealed condition. The integrity of the heat seal packaging bag was analyzed by examining the differences in color shade patterns of the thermal images. As a result, the YOLOv4-Tiny model achieved a detection accuracy of 98.80%, significantly outperforming the CNN technique, which detected only 78.40%, while using the same dataset; additionally, the time required for detection and training was faster. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Effects of heat transfer surface temperature on liquid egg yolk fouling(2024-01-01); ;