Sooraksa, Pitikhate

Preferred name

Sooraksa, Pitikhate

Alternative Name

Sooraksa, P.

Main Affiliation

School of Engineering

pitikhate.so@kmitl.ac.th

Now showing 1 - 10 of 50

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Micro Defect Detection on Air-Bearing Surface
(2015-03-27)
Kunakornvong, Pichate
;
Sooraksa, Pitikhate
This chapter presents texture analysis methods for detection of contaminations (micro particle, stain and metal) on the air-bearing surface (ABS). A complete system is developed composed of an image acquisition module, a feature extraction module and a decision-making module. The input ABS image is first analyzed by the texture unit and the co-occurrence matrix to obtain texture features which are then transformed by the principle component analysis (PCA) for effective classification of the defective samples. The chapter detects the contamination particle based on the theory of light scattering technologies: laser, detector and optic. Most light scattering techniques are used for counting particles. J. L. Blesener studied the non-imaging laser particle counter (LPC) for detection of a single particle. B. Bhushan utilized LPC instruments and sampling techniques for detecting and determining the size of particle contamination in rigid disk drives. S. Kochevar proposed the next generation of contamination monitoring using nanotechnology.
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Chen System as a Controlled Weather Model - Physical Principle, Engineering Design and Real Applications
(2018-04-01)
Sooraksa, Pitikhate
;
Chen, Guanrong
This paper presents the Chen system as a controlled weather model. Mathematically, the Chen system is dual to the Lorenz system via time reversal. Physically, the Chen system can be viewed as a controlled weather model from the anti-control perspective. This paper illustrates the physical principle of this controlled weather model, and develops an engineering design of the model for real indoor climate (temperature-humidity) regulation, with a perspective on outdoor weather control application.
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A practical low-cost machine vision sensor system for defect classification on air bearing surfaces
(2017-01-01)
Kunakornvong, Pichate
;
Sooraksa, Pitikhate
In this paper, we present a newly adapted machine vision method and a practical low-cost machine vision sensor for defect classification of the air bearing surfaces (ABSs) of a hard disk drive, which controls the flying height of the recording heads moving above a disk in operation. A defective ABS can cause poor reading and writing performance; hence, it is necessary to verify its integrity before assembling it into the final product. The proposed sensor system was designed and implemented to detect defects by an effective combination of image segmentation and block matrix techniques as well as classifying them using an expert system under dark- and bright-field conditions. Our system processes subregions of interest and sub-blocks in parallel so that they can take advantage of multiple processor cores. From the trial runs, the small fractional error and low average processing time suggested that our proposed system is effective and can be used in an industrial assembly line.
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Location fingerprint technique using Fuzzy C-Means clustering algorithm for indoor localization
(2011-12-01)
Suroso, Dwi Joko
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Cherntanomwong, Panarat
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Sooraksa, Pitikhate
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Takada, Jun Ichi
The recent researches in localization technique have been supported by the emerging of wireless sensor network (WSN) technology. The issues of power and time consumption have become the main research topics in WSN-based localization technique. ZigBee as IEEE 802.15.4 is commonly used as supporting device because of its advantages for low-power, small and smart sensor nodes. This paper proposes the new technique in radio frequency (RF) fingerprint technique-based localization using Fuzzy C-Means (FCM) clustering algorithm. This technique provides an efficient localization system that gives benefit in the time-efficient and low power consumption. In this paper, received signal strength indicator (RSSI) is used as the fingerprint information which indicates the location of sensor nodes. The different amount of the reference nodes is applied. The effectiveness of this method is verified by an indoor experiment. The estimated location results from different sets of reference nodes are compared. The time consumption in experiment is compared with those using the common fingerprint technique. © 2011 IEEE.
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Design of a Cyber-Physical Demonstration Using STEAM: Superconducting Chaotic Robots
(2018-08-21)
Tangsuknirundorn, Pirapat
;
Sooraksa, Paramat
;
Sooraksa, Pitikhate
In this paper, STEAM approach to create superconducting chaotic robots as a cyber-physical system is demonstrated. In science and technology viewpoints (ST), Meissner's effect is a fascinating phenomenon leading students to be motivated and inspired to learn more about this macroscopic quantum effect. In engineering and artistic design (EA), we utilize augmented reality to create a virtual octopus over a real environment. The virtual octopus is appeared whenever a superconducting phenomenon is detected. In other words, once a Meissner's effect is identified by a computer program on smartphones, then the octopus will chaotically floating over the superconductor disk in the real space. The octopus's trajectory can be mathematically (M) generated by any chaotic equation. Subjectively, the proposed CPS demonstration was impressed by computer engineering students in our classes.
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A practical position-based visual servo design and implementation for automated fault insertion test
(2014-01-01)
Banlue, Tassanai
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Sooraksa, Pitikhate
;
Noppanakeepong, Suthichai
This paper presents the design and implementation of a practical visual servo. The visual servo has been designed for pose correction of an end-effector that is placed wrongly away from the test point on a printed circuit board (PCB). It is widely acknowledged that the error could be attributed to the connecting joints of robot arms, angular errors, geometric model, and/or camera projection model. In the automated fault insertion test (AFIT), the typical difficulty encountered by a robot is to servo and place the probe tip accurately on the targeted test point, i.e., the conductive pad on the PCB. Conventionally, touch and sense with a probe tip has been utilized. Upon detection of a failure, the visual servo is triggered and the robot literally looks through a camera and re-attempts with the use of visual information from the camera. Currently, no clearly defined specifications in carrying out feature extraction exist and thereby the test point detection as it is not cost-effective to designate part of PCB footprint as the test point separately from the main design to accommodate visual sensing. As a result, various kinds of test points have been implanted into PCB industrial design. This research work requires building of a custom knowledge base of the test point features to support image recognition. Furthermore, the operational factors in industrial manufacturing, e.g., head structure maintenance, the replacement of end-effectors and the changes of projection parameters caused by hardware adjustment, impact the accuracy of the probe placement. These factors cause the original geometric model to shift from the original configuration and thus errors. This research paper proposes the practical design of a closed-looped visual servo to address the issues of precision error, image feature extraction, and manufacturing factors. Besides, the paper details the findings from the design phase to the implementation phase. © 2014 Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag Berlin Heidelberg.
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Chaotic control for the reactor of a continuous microwave biomass carbonization process
(2015-04-23)
Payakkawan, Poomyos
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Jansri, Anurak
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Phumpho, Suwilai
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Tong-Aram, Direk
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Keattipun, Pithuk
This paper presented a new heating technique using chaotic mode pattern generator to control a uniform- heating distribution of multi-feed microwave cavity in order to heat the reactor of a pilot-scale continuous microwave biomass carbonization process This technique not only suggest the potential of the proposed system which operates more smoothly but also reduce electric power consumptions of the continuous microwave biomass carbonization process.
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A discovery of sequential attack patterns of malware in botnets
(2010-12-01)
Rosyid, Nur Rohman
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Ohrui, Masayuki
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Kikuchi, Hiroaki
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Sooraksa, Pitikhate
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Terada, Masato
More than 90 independent honeypots have observed malware traffic at the Japanese tier-1 backbone. Typical attacks were made by multiple servers, coordinating to send many kinds of malware. T his paper aims to discover some frequent new sequential attack patterns of malware. It is not easy to identify particular patterns logs of one year because the volume of dataset is too large to investigate one by one. To overcome the problem, this paper proposes data mining algorithm, the PrejixSpan method. We implement the PrejixSpan algorithm to analyze the malware footprints and show the experimental result. The result of analysis shows that the attacks are performed by multiple sequential attack patterns within a short amount of time. ©2010 IEEE.
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Phase difference technique for material classification by using tuning fork with piezoelectric resonator
(2013-10-07)
Areejit, Suwilai
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Sooraksa, Pitikhate
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Aoyama, Hisayuki
A tuning fork with piezoelectric (TFP) is an electro-mechanical device; its principle performance is based on specific frequency and limited voltage. As the principle, the device can result output significantly. This paper presents a material classification using phase difference value that is received from touching between material and modified TFP. For the modified TFP, it is customized by a millimeter needle. The frequency response method on Bode plot is used to observe the modified TFP behavior, and to select a specific frequency. The first-order model with cascade notch filters is employed to identify mathematical model of the TFP, and to verify the model by simulation. Experimentation is considered on 2 touching techniques: a shear-force type and a tapping mode type. There are hard plastic, iron, silicon rubber, vinyl eraser and hydrogel for test material. The results are described by both time series plots of input-output signals and numerical table of shifted phase. The technique can employed to classify the test materials effectively and explicitly. © (2013) Trans Tech Publications, Switzerland.
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Design of a cyber-physical system using STEM: Chicken egg incubator
(2019-07-01)
Tangsuknirundorn, Pirapat
;
Sooraksa, Pitikhate
In this paper, STEM approach to study, design and implement chicken egg incubator as a cyber-physical system is demonstrated. In science viewpoint (S), bringing a life to earth can provide magnificent feeling that inspires students to learn more about life sciences. In views of technology (T), the students learn how to design and use micro-controllers, sensors and other components. Specifically the students also develop programming skills in controlling optimal ventilation, temperature and relative humidity for incubators in order to hatch chicken eggs. In Engineering and Mathematically (EM), Kalman filter is adopted to estimate the states from a series of noisy measurements. According to our experiment, based on the survey questionnaire, the learning outcomes are satisfied.

Sooraksa, Pitikhate

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