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Research of Magnetic and Electric Fields to Design and Develop the Prototype of Magnetic Resonance Imaging Device
(2025-01-01)
Chompoo-Inwai, Chai
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Chompoo-Inwai, Chow
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Suksathit, Witchayaphorn
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Kaewpromrat, Weerapat
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Maneerat, Saranyu
This research presents a study and preliminary design of a main magnetic field generation system for an MRI machine using simulation software. The objective is to investigate the factors affecting magnetic field strength. Six coil models were preliminarily designed and simulated to analyze the magnetic field behavior. Simulation results were compared with experimental magnetic field measurements, showing that the software accurately reproduces the magnetic field. It was found that distributed winding improves field uniformity, and that both the number of coil turns and conductor size directly affect the strength of the main magnetic field in the air core.Based on the simulation outcomes, a prototype magnetic field generation system was designed. The proposed prototype consists of an aluminum core with a diameter of 110 mm and a height of 335 mm, suitable for arm imaging. The system uses a superconducting NbTi wire wound 6,516 turns in eight segments, with a current of 120 A. Cooling is achieved using a cryocooler model RDE-418D4 4K, which can reach temperatures as low as 4.2 K. This study provides essential guidance for the development of main magnetic field systems in future MRI devices.
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Optimum Operation and Cost Scenarios of a Hybrid Wind/PV/Battery in a Radial Network using Genetic Algorithm and Particle Swarm Optimization
(2022-01-01)
Abdelwareth, Mohamed Els S.
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Riawan, Dedet Candra
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Chompoo-Inwai, Chow
Hybrid generation systems took the attention of many researchers searching for the best energy source that can be optimum, reliable, and scalable instead of dependency on the traditional fossil fuels sources; researchers are developing Artificial Intelligence (AI) algorithms to optimize those systems. This paper will study the optimum generating power from a Wind turbine, PV, and Battery linked to the radial network in Tomia Island, considering the optimum cost using Particle Swarm Optimization (PSO) and Genetic Algorithm (GA).
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Optimum Operation and Cost Scenarios of a Hybrid Wind/PV/Battery in a Radial Network using Firefly Algorithm and Surrogate Optimization
(2022-01-01)
Abdelwareth, Mohamed Els S.
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Riawan, Dedet Candra
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Chompoo-Inwai, Chow
Exploiting renewable energy resources can help decrease carbon emissions by providing a reliable solution to generate electricity and tackle the climate change dilemma. Artificial Intelligence algorithms have been used in the last two decades to optimize power system networks. In this paper, we discussed the effect of replacing the existing Diesel Generator (DG) with a wind turbine to satisfy the load in the standalone hybrid (DG, PV, Battery) radial network in Tomia Island, south-east Sulawesi, Indonesia. Loss of Power Supply Probability (LPSP) and the Coefficient of determination parameters were used as technical performance indicators. Firefly Algorithm (FF) and Surrogate Optimization technique were used to optimize the system considering the minimum costs.
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Fast laser Quantity Measurement of Pest Box Imaging Using End-to-End Real Time in Thai Rice Farm
(2021-01-01)
Polset, Siriwan
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Chompoo-Inwai, Chow
In this paper, the researcher development a fast laser quantity measurement of pest box imaging using end-to-end real time in Thai rice farm. Usage of a small, light, low-cost, high precision laser raining sensor for detected pests in rice farm and send number data to ESP32-CAM then it will take a pest box picture send to user application LINE. The processing can save statistical data from laser raining sensor on memory card of ESP32-CAM for quantity pests analysis. The researchers had designed pest measure box two sets and install in rice farm an area of 3.2 acre. The experiment is quantity measurement of pest box in the real environment of rice grow season in Thailand. Measurement were for 3 different period of time: rice seedlings to tillering stage (30 - 45 days old), rice at full tillering stage, pregnancy-to-earth rice. The results show a lot of pest the before harvest season is pregnancy to earth rice.
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Optimum Generated Power with the Minimum Cost of a Radial Network using Firefly and Genetic Algorithms
(2021-01-01)
Abdelwareth, Mohamed Els S.
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Riawan, Dedet Candra
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Chompoo-Inwai, Chow
This paper presented two artificial intelligence methods to find the optimum output power from Diesel generator (DG), Photovoltaic system (PV) and batteries to satisfy the load with the minimum cost considering the minimum losses. Our case study was a micro-gird 20 kV radial network consists of 21 busses located in Tomia island, south-east Sulawesi Island, Indonesia. Firefly algorithm (FA) and Genetic algorithm (GA) used in this study to do the optimization and chose the optimum operation. Forward-Backward sweep method used for the power flow calculations.
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Novel Techniques for Critical Load Buses Identification and Load Bus's Available Capacity Calculation to Improve Power System Stability
(2020-07-01)
Wannoi, Narumon
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Jirsuwankul, Nirudh
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Chompoo-Inwai, Chow
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Chompoo-Inwai, Chai
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Wannoi, Chaisit
this paper presents two novel techniques for critical load buses identification and load bus's available capacity (LBAC) calculation to improve power system stability. The critical load bus identification is applied by contingency analysis considering system violation limits under load shedding impact. The violation limits consist of two limits including voltage and percent loading limits of power transfer equipment. As the LBAC calculation, the available transfer capability (ATC) of all multi-lines connected on each load bus are investigated with the total transfer capability (TTC). To validate the effectiveness of the proposed approach, the modified Thailand power system during summer peak load in areal (load center) is used for a system base case. As the results, it is found that the proposed techniques can effectively obtain and rank critical load buses as well as to calculate the LABC. The strong relation between these two indexes can be applied to improve power system stability.
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A Multi-Channel Feedforward ANC with FXLMS Algorithm for Aviation-Noise Suppression
(2019-11-01)
Sookpuwong, Chadaporn
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Chompoo-Inwai, Chow
This paper presents a novel multi-channel feedforward Active Noise Control (ANC) system using Filter-x Lease Mean Square (FXLMS) algorithm for reducing classroom-aviation noises. Such a system will be simulated in MATLAB for a demonstrative classroom in KMITL University, Bangkok, Thailand. This circumstance becomes an interesting issue since the aforementioned classroom is located right next to one of the Asia Pacific's largest international airport namely Bangkok Suvarnabhumi International Airport. An aviation noise problem occurs when aircrafts taking off and landing. The main idea of this research is trying to lower the level of the aviation noises which occurred in the classroom. A novel multichannel feedforward ANC system has been brought into account here. The FXLMS algorithm is used for updating the ANC controller coefficient in order to achieve the optimal weight vector resulting in minimal errors. A conceptual design of a proposed ANC and system configurations including all related equations are described. The simulation results will be presented in terms of noise attenuation capabilities and the Mean Square Error (MSE) convergence time. Simulation results presented in this paper will be used for further analysis to improve the system performance of the proposed ANC methodology before implementing in the real classroom.
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Automatic Resonance-Frequency Tuning and Tracking Technique for a 1MHz Ultrasonic-Piezoelectric-Transducer Driving Circuit in Medical Therapeutic Applications Using dsPIC Microcontroller and PLL Techniques
(2019-01-01)
Boontaklang, Suttipong
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Chompoo-Inwai, Chow
Driving ultrasonic piezoelectric transducer (UPZT) at maximum performance in real-time operations is a very challenging task due to the deterioration problem of ultrasound output causing by human-skin impedance fluctuations. This paper proposed ideas and solutions on how to maximize the UPZT driving circuit performance in or deter to solve the deterioration problem. A newly-designed feedback control block with a phase-locked-loop (PLL) technique controlled by microcontroller has been added to the conventional UPZT driving circuit to ensure the automatic resonance frequency tuning and tracking capabilities. After intensive experiments, it is clear that the proposed technique works flawlessly and much more efficient compared to the conventional one. The experimental results also confirm that the percentage of error in tuning to the desired frequency is less than ±0.2% and the speed of tuning convergence time is between 9-12 milliseconds on average.
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An evaluation of public truck terminal implementation and truck ban policy in a medium-size city of Thailand: A case study of Khon Kaen city
(2018-08-14)
Chhorn, Vuchlung
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Prabnasak, Jaruwit
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Chompoo-Inwai, Chow
This study aims at investigation the potential impacts of a public truck terminal implementation along with truck ban policy adaptation in Khon Kaen City, Thailand. A four-step model is developed and used for examining traffic condition changes due to the terminal relocation. Three different terminal locations are set. Truck traffic of each scenario are estimated and converted to total network cost, and then compared with the base-case scenario. The most suitable truck terminal location is suggested. Also, several concerns regarding the public truck terminal and truck ban policy in the study area are given.
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Performance comparisons between a single-channel feedforward anc system and a single- channel feedback anc system in a noisy-enviroment classroom
(2017-10-27)
Sookpuwong, Chadaporn
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Chompoo-Inwai, Chow
Adaptive or Active Noise Control System (ANC) is now widely used in many applications. The problem of interference or noise cancellation is one of the main focuses of the ANC solutions. In this paper, two classic ANC systems called a single-channel feedforward system and a single-channel feedback system will be simulated in MATLAB/Simulink environment for a demonstrative university classroom. This circumstance becomes an interesting issue since the aforementioned classroom is located right next to one of Asia Pacific's largest international airport in Bangkok City, Thailand. A very lousy-noise environment occurs when the time of airplane taking off and landing. Unfortunately, such a noisy environment happens almost every other minute on average. The main idea of this paper is trying to lower the level of the noise during those critical times in the classroom. Two simple ANC systems are brought into account here to see how they perform in resolving the problems in this particular circumstance. The least mean square (LMS) method is used for updating the weight vector in ANC control block diagram in order to achieve the optimal weight vector resulting in minimal errors. How to find bounds on the step size, how to estimate the rate of convergence and the steady-state errors of the proposed LMS method are also elaborated in this paper. The simulation results between two ANC systems will be presented in terms of noise attenuation capabilities and system performances. The discussions and the conclusions presented in this research paper will be used for further analysis to improve the selected ANC system performance before implementing in the real environment in a very near future to come.

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