Boonsang, Siridech

Preferred name

Boonsang, Siridech

Alternative Name

Boonsang, S.

Main Affiliation

School of Engineering

siridech.bo@kmitl.ac.th

Now showing 1 - 10 of 27

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Generative AI for Industrial Applications: Synthetic Dataset
(2023-01-01)
Sasiaowapak, Thanyathep
;
Boonsang, Siridech
;
Chuwongin, Santhad
;
Tongloy, Teerawat
;
Lalitrojwong, Pattarachai
The research and development of artificial intelligence (AI) techniques to enhance quality control in industrial equipment might face challenges due to the scarcity and limited privacy of actual industrial datasets. One approach to address this involves utilizing generative AI models that create synthetic data, simulating the characteristics and diversity found in crucial datasets. We present a methodology for generating synthetic datasets for industrial products such as bolts and screws by employing a segment-anything model and a stable diffusion technique for creating accurate representations. Furthermore, we propose the developed model by using a scaled-down version of DinoV2 algorithm's vision transformer (ViT-small). The self-supervised learning approach was studied to fine-tune the model to classify between normal- and defective industrial products, as well as those contaminated with dirt. By additional training dataset created through synthesis, we achieve an improvement in performance. The synthetic data leads to nearly perfect true positive results while completely eliminating false negatives. This indicates a significant advantage in terms of accuracy, recall, precision, specificity, and F1 score, all of which exceed 98%. Similarly, the model's predictions align perfectly with the area under the curve (AUC) metric. Although there is a slight performance reduction when dealing with up to six different class labels, the model retains strong capability in identifying normal products. Notably, the ViT-Small-based self-supervised learning model demonstrates superior accuracy compared to using ViT-Base, with considerations for dataset compatibility and model suitability. In conclusion, this study's contribution lies in enabling the deployment of the Dino V2 model for implementing quality control measures in industrial domains. It emphasizes the challenges that limited real-industrial data by leveraging synthetic data and innovative fine-tuning approaches, ultimately enhancing AI-powered for quality control processes.
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A highly sensitive laser-EMAT imaging system for biomedical applications
(2014-10-15)
Boonsang, S.
;
Dewhurst, R. J.
This paper describes a novel technique using an elctromagnetic acoustic transducer (EMAT) for biomedical photoacoustic measurements. The physical principle underlying and EMAT sensor is based on the detection of electromagnetic signals, which are responses from the interaction of ultrasonic waves and magnetic fields within the electrically conductive sample surface. A recent prototype EMAT sensor has miniaturized the receiver size (1.0 cm diameter). It is incorporated with a specially designed low noise preamplifier. Calibration procedures with a Michelson interferometer revealed that the EMAT sensor detected small displacement amplitudes as low as 1.0±0.2 pm in ultrasonic frequency range using an aluminium sample. For the first time, we present the use of an EMAT sensor to detect photoacoustic pressure signals in tissue phantoms and real tissues (chicken breast) in vitro. Corresponding B-scan images were constructed by the compilation of a series of received photoacoustic signals. A B-scan image of human hairs in a chicken breast sample revealed that the lateral resolution about 1.57 mm (FWHM) was achieved.
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Highly-transparent multi-layered spin-coated silk fibroin film
(2017-01-01)
Wasapinyokul, Kamol
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Kaewpirom, Supranee
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Chuwongin, Santhad
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Boonsang, Siridech
In this study, the silk fibroin films with different numbers of layers were fabricated by the spin-coating method and their optical transmittances were observed. The process to synthesise the silk fibroin solution was explained - starting from the silk cocoon until the silk-fibroin solution, approximately 7.5% concentration wt/vol, was obtained. The solution was spin-coated onto clean glass substrates to fabricate samples. Totally 10 samples with different numbers of layers, from 1 to 5 layers, were obtained. All samples can be separated into two groups: those left dried at room temperature after spin-coating and those heated at 60°C. They were then measured for their transmittance over the visible-to-near-infrared region. All samples exhibited the high transmittance where the values were at 95% and 98%, for the samples at room temperature and those at 60°C, respectively. This was believed to be due to the heating effect that caused the silk fibroin to arrange itself after being heated, hence the higher transmittance. These high transmittances were maintained regardless of the number of layers and length of heating time. Results from this study could be used to fabricate a silk fibroin film with high optical transmittance and adjustable other properties.
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Uncertainty analysis of polarization interferometric measurements of hard disk drive recording head-media dynamic spacing
(2012-06-12)
Boonsang, Siridech
;
Aroonjarernchay, Wanchai
In this paper the numerical method based on Monte-Carlo techniques is utilized for the analysis of the flying height measurement uncertainty. In the current flying height tester, the prediction of error is the main concern in order to assure the attainable precision. In previous study, a simplified analytical method is normally used and it may not provide the accurate results of the error prediction especially when the amount of the flying height values becoming as low as sub-5 nm. In this paper, instead of using the analytical method for error analysis, the numerical method based on Monte-Carlo techniques is utilized. Our simulation results show that the measurement uncertainty is mainly from the variation in the optical constants of the DLC layer. They also show that the increasing of standard deviation of the optical constants of DLC layer causes the higher measurement uncertainty.
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Development of Self-Supervised Learning with Dinov2-Distilled Models for Parasite Classification in Screening
(2023-01-01)
Pinetsuksai, Natchapon
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Kittichai, Veerayuth
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Jomtarak, Rangsan
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Jaksukam, Komgrit
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Tongloy, Teerawat
At present, parasitic infections in humans, such as intestinal parasitic infections and soil-transmitted helminth (STH) infection, remain a public health concern, with screening methods that are simple but time-consuming and require parasitology experts. Microscopy images are increasingly being used to aid diagnosis but creating labels for supervised learning (SL) is a time-consuming, labor-intensive, and costly process. Self-supervised learning (SSL) is a deep learning approach that aims to train models to represent features in unlabeled datasets using automatically generated labels or annotations from the data itself, rather than explicitly labeled human-labeled labels. It is an appropriate method to address the challenges associated with the difficulty of labeling large datasets. A pretrained model that has learned useful data representations from an SSL task is fine-tuned using labeled data to perform well on a specific downstream task. DINOv2 is an SSL model based on the Vision Transformer (ViT) architecture. In this study, we aim to create a model for screening for helminth egg infection using a fine-tuned Dinov2 with a classification layer head to demonstrate that dataset sizes of 1% and 10% are sufficient when compared to SL model. Rather than SL, which requires a significant amount of human data labeling and is generally impractical, the model developed in this study is expected to be used in active surveillance in the future.
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Reflection image model for micro-ellipsometer
(2019-07-01)
Khunrattanasiri, Weerayuth
;
Boonsang, Siridech
High accurate distance measurement currently favors optical techniques. Ellipsometer usually can find the optical properties. The data from the Ellipsometer will transfer to distance data but micro-ellipsometer can provide more accurate than general ellipsometer. The micro-ellipsometer use the back focal plane of an objective lens and measures the optical properties in the different angles. The micro-ellipsometer result is the intensity image. The light reflection model can give us original light reflection images of any objects by determining the refractive index of the material and create a reflection image model. This research created optical reflection models of S<inf>i</inf> O<inf>2</inf>, Au, Ti and Al.
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Classification model of optical character recognition failures in unrecovered slider serial numbers in hard disk drive manufacturing and image capture processes
(2022-01-01)
Chousangsuntorn, Chousak
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Tongloy, Teerawat
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Chuwongin, Santhad
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Boonsang, Siridech
In hard disk drive (HDD) manufacturing processes, there are unrecovered serial number images about 0.01% from the standard optical character recognition (OCR) reading and deep learning approach. We found several failures from two main causes, i.e. manufacturing process and image capture process during standard OCR reading. We proposed classification model used for recognizing the serial number reading failures based on object detection You-Only-Look- Once (YOLO) algorithm and EfficientNet-B0 classification network as well as histogram analysis. The 1000 images captured by digital camera were used for training (600 images) and validation (400 images) the ROI detection model. The other 2100 captured images were used for training and testing classification OCR failure from manufacturing process model. The model testing was performed in 900 images contained 9 causes (classes) of failures. The proposed model reaches F1 score = 0.94.
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An image-based visual servo control system based on an eye-in-hand monocular camera for autonomous robotic grasping
(2017-01-09)
Tongloy, Teerawat
;
Boonsang, Siridech
This paper presents an image-based visual servo control system incorporating with an eye-in-hand monocular camera without using the interaction matrix as traditional method. Instead, we propose the modified image-based visual servo control system for monocular from point error and area error. By using the method derived from the point error and area error of features and one value of the simple depth estimation, we can find camera velocity whereas a traditional method we need to know every depth values for each feature for determining the camera velocity. In addition, a physical eye-in-hand robot system is developed and implemented in order to validate the proposed algorithm. The experimental results obtained from the systems show significant improvement in control performances.
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A computational model of magnetic fluid flow based on Maxwell's equation and Navier-Stokes equations
(2006-01-01)
Lohakan, Meechai
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Janchaichanakun, Pisuit
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Boonsang, S.
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Pintavirooj, C.
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Sangworasil, M.
The magnetic liquids such as ferrofluids, biocompatible magnetic nanocarrier, play an important role as drug carriers in the human body. Based on Maxwell's equation and Navier-Stokes equations, a time-dependent analysis of a two-dimensional computational model of magnetic fluid flow is purposed. The FEM is applied to solve Maxwell's equation for a static magnetic field, and Navier-Stokes equations for fluid dynamics. The result of magnetic field has some influences to ferrofluid dynamic flow in blood vessel. ©2006 IEEE.
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An interferometric back focal plane microellipsometry for the determination of optical properties of a slider's air bearing surface
(2014-02-12)
Khunrattanasiri, Weerayuth
;
Boonsang, Siridech
This paper presents a back focal plane microellipsometer combined with a polarized shifting interferometer. This system is used for the determination of optical phase shift on reflection of a slider's air bearing surface. These optical properties are essential parameters for the flying height measurements in a HDD manufacturing process. The resulting phase shifting images were processed by using Windowed Fourier filters and phase unwrapping techniques, in order to precisely determine the phase of a back focal plane image. The phase images were then used to determine the optical phase shift on reflection values. The results from an aluminum sample show that the measured optical phase shift on reflection values are comparable to the standard values.

Boonsang, Siridech

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