Tungjitkusolmun, Supan
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Tungjitkusolmun, Supan
Alternative Name
Tungjitkusolmun, S.
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supan.tu@kmitl.ac.th
27 results
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Item type:Publication, Basic investigation of breast cancer detection in early stage using microwave radiation: Finite element analysis approach(2011-12-01); ; ; Wongtrairat, W.One of the main problem which threatening health in middle-aged women around the world is breast cancer. Not only a physical painfulness but also including her own family and victim relatives who suffering from this unavoidable pity fate. To detect those cancerous tumors as in an earlier stage as possible seem to be the best way to handle with this hazard. Besides from x-rays mammography and a conventional diagnostic ultrasound, microwave radiation tomography technique is a promising method to investigate any abnormality forming in her mammalian gland. In this paper, we propose a simulation of microwave radiation using a finite element method (FEM) of our modified imaging setup system for female breast cancer diagnosis. By using FEM, we propose a preliminary study of microwave breast cancer detection from a patch antenna propagation in 3D tissue space approaching. In term of wave penetration, voluminous 3D distribution geometry of electrical field in nonhomogenous simple breast phantom model was presented. These simulations not only show a promising result but also encourage us to develop a real imaging setup system in the near future. © 2011 IEEE. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Temperature Distribution of Microwave Balloon Treatment Benign Prostatic Hyperplasia using Finite Element Model(2019-11-01); In this paper, the 3D model of Microwave balloon antenna for treatment urethral stricture from Benign Prostatic Hyperplasia (BPH) was presented. The 3D modeling heating pattern's ability of thin slot antenna of microwave balloon in the research was also demonstrated. As the results showed that the distribution of temperature and surrounding temperature of modeling of open microwave system. Microwave system at 2.45 GHz. Power Operation are 40, 60 and 80 W. Time operation are 5-600s. A design microwave balloon antenna has protection of critical tissue structure. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Real-time monitoring glucose by used microwave antenna apply to biosensor(2011-12-01); ; Wongtrairat, WannareeIn this paper we investigate the electromagnetic field interaction with a glucose aqueous solution using a microwave antenna (U-shape) to evaluate the glucose concentration and vary temperature. The glucose concentration vary from 10-40 mg/ml compare with DI(de-ionized) water, the operating frequency of about 1-2.5GHz. The change of the glucose concentration is directly related to the change of the reflection coefficient due to electromagnetic interaction between the dielectric wave and the glucose aqueous solution. A glucose biosensor using microwave antenna (U-shape) provides a unique approach for glucose monitoring. The antenna is designed have various formed and test by comsol program. The principles of Comsol is finite element for dispersion of electromagnetic waves from a real experiment to measure the concentration of glucose solution. © 2011 IEEE. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, An Infant Cry Recognition based on Convolutional Neural Network Method(2019-11-01) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Crack Localization Detection in Monolithic Zirconia Dental Crowns via 1D-Convolutional Neural Networks Algorithm-Based Acoustic Emission Analysis(2024-01-01); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Cross-Sensor and Cross-Population Generalization of Deep Learning Models for Digital Mammography: A Controlled Four-Country Benchmark of Five Backbone Architectures with Statistical Significance Testing(2026-06-01); Background/Objectives: Deep learning models for digital mammography sensor data are increasingly deployed across hospitals using different X-ray detector technologies and patient populations. Whether models trained on one sensor platform and population maintain accuracy when transferred to another has not been tested for the latest generation of mammography-specific foundation models under one controlled protocol. Methods: We fine-tuned five backbone architectures (ResNet-50, DINOv2-B14, Rad-DINO, Mammo-CLIP B5, and Mammo-FM) on CBIS-DDSM (film-digitized, USA, n = 714 validation) with three seeds, ablated a density-aware focal loss across three auxiliary weights, and evaluated transfer to three external sensor cohorts: CMMD (full-field digital, China, n = 1032), DMID (mixed digital, India, n = 509), and MIAS (film-digitized, UK, n = 322). Significance used paired DeLong z-tests with Benjamini–Hochberg FDR correction; temperature scaling tested post hoc recalibration at all transfer targets. Results: Within this single-source three-seed evaluation, ResNet-50 outperformed all four foundation models on CBIS-DDSM (AUC 0.867 vs. 0.847, 0.846, 0.813, and 0.703; all gaps p_adj < 0.05). The density-aware focal loss degraded both AUC and calibration at every weight tested. At transfer, every model lost 0.165 to 0.320 AUC points relative to in-distribution performance, with sensitivity at 95% specificity collapsing from 0.31 to 0.47 in-distribution to 0.11 to 0.22 across the three external targets. A per-seed Stouffer meta-analysis confirms that Mammo-CLIP B5 and Mammo-FM significantly outperformed ResNet-50 on DMID and Mammo-CLIP on CMMD, after BH-FDR; MIAS comparisons remained directional only. In the extremely dense subgroup (BI-RADS D4), Mammo-FM reached AUC 0.870 versus ResNet-50 at 0.842, a directional observation whose 95% CIs overlap heavily at the n = 140 sample size and which we do not interpret as a statistically supported advantage. Conclusions: In this single training-source, three-seed protocol, mammography-specific pretraining did not deliver the in-distribution AUC premium reported in the originating papers, and no architecture reached a level at which transfer deployment without local validation would be defensible. We frame these as observations specific to the present protocol rather than as broader conclusions about foundation models for mammography classification. The findings argue for sensor-stratified and population-stratified external validation and for local recalibration as practical prerequisites before clinical use. Code and weights are released under MIT license. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A simple laboratory test of music therapy for insufficient sleep(2016-02-04); ; This article studies the behavior of human sleep found the insufficient sleep problem due to the brain performance. This experiment uses devices such as sleeptracker to save the results of a sleep and electroencephalogram (EEG) to detect brainwaves while enjoying music. However, this study considers only a general sleep and sleep event that a relaxed with the music. The findings indicated the music can help to reduce the problems of insufficient sleep. As a result, volunteers are developing the sleep as sufficiently and efficiently due to get the best quality of sleep in the life. It is also available to deploy to the general person in order to solve the problem of insufficient sleep. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Airflow analysis of radiofrequency ablation for asthma therapy by using 3D finite element method(2013-12-01); ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Automated Crack Detection in Monolithic Zirconia Crowns Using Acoustic Emission and Deep Learning Techniques(2024-09-01); ; Monolithic zirconia (MZ) crowns are widely utilized in dental restorations, particularly for substantial tooth structure loss. Inspection, tactile, and radiographic examinations can be time-consuming and error-prone, which may delay diagnosis. Consequently, an objective, automatic, and reliable process is required for identifying dental crown defects. This study aimed to explore the potential of transforming acoustic emission (AE) signals to continuous wavelet transform (CWT), combined with Conventional Neural Network (CNN) to assist in crack detection. A new CNN image segmentation model, based on multi-class semantic segmentation using Inception-ResNet-v2, was developed. Real-time detection of AE signals under loads, which induce cracking, provided significant insights into crack formation in MZ crowns. Pencil lead breaking (PLB) was used to simulate crack propagation. The CWT and CNN models were used to automate the crack classification process. The Inception-ResNet-v2 architecture with transfer learning categorized the cracks in MZ crowns into five groups: labial, palatal, incisal, left, and right. After 2000 epochs, with a learning rate of 0.0001, the model achieved an accuracy of 99.4667%, demonstrating that deep learning significantly improved the localization of cracks in MZ crowns. This development can potentially aid dentists in clinical decision-making by facilitating the early detection and prevention of crack failures. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Finite element analysis for severe asthma therapy at the airway smooth muscle by radiofrequency ablation(2012-12-01); ; Sanpanich, A.This paper presents a three-dimensional finite element analysis for severe asthma therapy by using radiofrequency (RF) ablation. We study a solution for severe asthma treatment by using radiofrequency ablation method. Severe asthma patients have breathlessness symptom, coughing, and wheezing that influence a daily life of patients. In case of severe asthma, patients have breathlessness symptom, coughing, and wheezing all the time. All symptoms cause to die. Severe asthma therapy by using radiofrequency ablation is a new alternative maneuver to the patient and hopefully may extend his lifetime, reduce using of medicines in asthma treatment and also save money on medical care in long run. The research results obtained from our three-dimensional finite element analysis show temperature distribution for airway dilation and increasing airway wall dimension by using radiofrequency ablation technique significantly. These results also guide us to develop an advance asthma treatment in the future. ©2012 IEEE.