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Author: search.filters.author.Chaichanyut, Montree

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    Investigation of physiological disorder classification in mangosteen fruit using visible and shortwave near-infrared spectroscopy combined with machine learning
    (2025-12-01)
    Ruttanadech, Nuttapong
    ;
    Momin, Abdul
    ;
    Phetpan, Kittisak
    ;
    Chaichanyut, Montree
    ;
    Thongphut, Chitwadee
    Accurate classification of physiological disorders in mangosteen fruit is crucial for ensuring production quality, safety, sustainability, and economic viability. This study investigates the application of visible and shortwave near-infrared (Vis/SWNIR) reflectance spectroscopy, combined with machine learning algorithms, to classify three primary disorders: normal fruit (NF), translucent flesh disorder (TFD), and TFD with yellow gummy latex (TFD & YGL). The study specifically examines the effects of light intensity, spectral pretreatments, and machine learning models on classification performance. Spectral data were collected using two light intensities (50 % and 100 % of a 150 W light source) and processed with three pretreatments: standard normal variate (SNV), second derivative Savitzky-Golay (SGD2), and a combination of SNV and SGD2. Random forest (RF), support vector machine (SVM), and multi-layer perceptron (MLP) algorithms were used for classification. The SGD2 method improved differentiation, especially for the TFD & YGL class, in the 700–725 nm wavelength range, which is associated with xanthone content in the fruit's pericarp. Higher light intensity (100 %) significantly improved classification accuracy, achieving an overall accuracy of 0.71 and an average F1 score of 0.61 with the RF model. Despite these improvements, the model struggled to distinguish the TFD class from NF due to their similar spectral profiles. Overall, the Vis/SWNIR spectroscopy and machine learning combination shows strong potential for the non-destructive classification of mangosteen fruit disorders. Both light intensity and spectral pretreatments play critical roles in enhancing performance. Future studies should focus on improving spectral sensitivity to better capture internal fruit characteristics.
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    Design of Plantar Pressure Measurement to diagnose the flat feet patients Plantar Pressure
    (2022-05-15)
    Chaichanyut, Warunya
    ;
    Chaichanyut, Montree
    This research presented the design of plantar pressure measurement tool. The objective of this study were the plantar pressure data for assist decision doctor investigate foot disease type, that establish a measurement with high resolution and relatively accurate measurements. The development uses Force Sensing Resistor (FSR) to scanning the plantar pressure Measurement, about 15 points on feet of patients in the foot type verification analysis. The signal conditions circuit changes the resistor of FSR sensor into voltage and send to Arduino microcontroller, its processed to send out the data via Nrf24l01 wireless module for display on the monitor of the micro-computer. On the micro-computer have an algorithm for predicting the risk of patients was flat foot (fallen arches) or Hollow foot (high arches). From experiments on laboratory, the calibration method for the plantar pressure measure system was established with the use of a Foot Imprinter Harris Mat. The device from our design have feasibility for predicting the flat foot risk of patients.
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    Finite Element Analysis on Porous Media: Geometric Monopole Antenna Shapes Affect Liver Tumor Microwave Ablation
    (2021-05-14)
    Chaichanyut, Wanrunya
    ;
    Chaichanyut, Montree
    Microwave Ablation is a regularly used medical procedure for removal of the liver tumors, which uses the electromagnetic transform into heat for destruction or kills the hepatic tumor tissue. This paper presents a 3D finite-element method was designing the antenna of 2.45GHz, simulate to investigate analyses of the heating profile during and after hepatic tumor microwave ablation on porous media. The configurations of this study were two Ellipse tip monopole-antennas, which considered were: Symmetric Ellipse tip monopole (S-EM) and Non- symmetric Ellipse tip monopole antennas (NS-EM). The aims of this study to findings revealed that the Specific Absorption Rates (SARs) along the Ellipse monopole-antenna insertion depths, the heating profile and lesion volume (Ablation zone) within the hepatic tumor on porous models with 5 cm-in-diameter tumors. All scenarios were simulated under the temperature-controlled mode (90°C). Simulation results, illustrate that the local peaks of the SARs curves, both antennas occurred at the tip of Ellipse monopole-antenna. The profile of the SARs curves that the S-EM and NS-EM antenna models exhibited similar trends with slightly different amplitudes. The heating profile of both antennas occurred at the lateral around of the antenna, its destroy unwanted tissue. The duration of the NS-EM model was longer than the S-EM model for ablating unwanted tissue. Respectively, the duration ablating of S - EM models and NS-EM model to complete destruction of hepatic tumor were 680s and 700s.
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    Microwave Ablation Using Four-Tine Antenna: Effects of Blood Flow Velocity, Vessel Location, and Total Displacement on Porous Hepatic Cancer Tissue
    (2016-01-01)
    Chaichanyut, Montree
    ;
    Tungjitkusolmun, Supan
    This research is concerned with microwave ablation analyses using a 2.45 GHz four-tine (4T) antenna for hepatic cancer tissue. In the study, three-dimensional finite-element models were utilized to examine the tissue temperature distributions during and after MW ablation. A preliminary study was first carried out with regard to the specific absorption rates along the 4T antenna insertion depths and the temperature distributions inside the solid and porous liver models with either 3 cm-in-diameter tumor or 5 cm-in-diameter tumor. Based on the preliminary results, the porous models were further examined for the effect of varying blood flow velocities (0-200 cm/s) with a 1 cm-in-diameter blood vessel next to the antenna and also for the effect of vessel-antenna locations (0, 0.8, and 1.3 cm) with a constant blood flow velocity of 16.7 cm/s. All scenarios were simulated under temperature-controlled mode (90°C). The findings revealed that the blood flow velocity and vessel location influence the ablation effectiveness and that increased blood flow inhibits heat transfer to the vessel wall. At the nearest and farthest vessel-antenna locations (0 and 1.3 cm), approximately 90.3% and 99.55% of the cancer cells were eradicated except for the areas adjacent to the vessel. In addition, total tissue thermal displacement is 5.9 mm which is 6.59% of the total length of the overall model.