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Author: search.filters.author.Pathoumvanh, Somsanouk

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    Chipless RFID sensing for dielectric property of light weight concrete
    (2021-05-19)
    Suwalak, Rattapong
    ;
    Phaebua, Kittisak
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    Phongcharoenpanich, Chuwong
    ;
    Lertwiriyaprapa, Titipong
    ;
    Pathoumvanh, Somsanouk
    This paper presents a passive chipless RFID tag (Electromagnetic sensor) based on the modified printed monopole antenna with a frequency filter technique. The proposed chipless RFID sensor is the wireless sensor technology with the nondestructive technique (NDT) testing. This proposed RFID tag is designed to obtain both determination and identification (ID) properties for a sensor application. To determine the dielectric constant of MUT under test, the circular monopole tag antenna is modified using adding the elliptical shape to achieve the wideband operating frequency. Moreover, this sensor is used the stripline frequency filter technique to obtain the 1-bit ID at the frequency of 2.77 GHz. The CST Microwave Studio simulator program uses to design and optimize the passive chipless RFID parameters. Simulated results show the proposed chipless RFID sensor can identify and determine the dielectric property of the LWC under test.
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    Evaluation of small antenna based si-substrate with heat process for wireless sensor applications
    (2020-07-01)
    Pinsakul, Atcharaporn
    ;
    Pathoumvanh, Somsanouk
    ;
    Promwong, Sathaporn
    A silicon substrate small patch antenna for small antenna is using cavity model and method of moment are analyse antenna. Dope Silicon substrate with gold is having the resistivity over 106. It's good performance for monolithic patch antenna. Calculated numerical results are in awesome agreement with the computed results.
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    Robustness study of ECG biometric identification in heart rate variability conditions
    (2014-01-01)
    Pathoumvanh, Somsanouk
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    Airphaiboon, Surapan
    ;
    Hamamoto, Kazuhiko
    Electrocardiogram (ECG) has been actively proposed as an aliveness biometric for years. In realistic application, this type of biometrics still needs to be verified in some conditions related to the practical use. Therefore, we propose in this paper the study of two themes that concern its realistic application. First, the single beat of an electrocardiogram (SB-ECG) is used as the ECG feature, which aims to decrease the time to acquire the ECG from the individual. Second, for the robustness study of ECG features to heart rate variability (HRV), we investigate the relation between the correct identification and the HRV conditions. The HRV-ECG data is set up and collected by using the Bio-Pac system. The overall processes of the proposed method are the following: Continuous wavelet transform (CWT) is used to analyze each SB-ECG. Then the root-mean square (RMS) value of total energy of the wavelet coefficients of each P, QRS, and T segment is calculated. Next, the Fisher linear discriminant analysis (FLDA) is applied to all sets of the RMS value for dimension reduction. Lastly, the normalized Euclidean distance is implemented as the classifier. The experimental results demonstrate that, with the proposed method, the classification achieves 97% accuracy and the robustness study achieves over 80% accuracy with HRV-ECG change up to 20%. © 2014 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
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    ECG analysis for person identification
    (2013-12-01)
    Pathoumvanh, Somsanouk
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    Airphaiboon, Surapan
    ;
    Prapochanung, Benjawan
    ;
    Leauhatong, Thurdsak
    Electrocardiogram (ECG) has been actively proposed as aliveness biometric. In this paper, the study which concern to a realistic application is proposed. Firstly, a single lead normal ECG signal is acquired from individuals of 10 subjects. Then, each single beat ECG is segmented and analyzed in Continuous Wavelet Transform (CWT) domain. Total energy of wavelet coefficients for each P, QRS, and T segment is calculated. Next, the Fisher Linear Discriminant Analysis (FLDA) is applied. Finally, normalized Euclidean distance is implemented as a classifier. In experimental results, 97% of classification accuracy is achieved in case of a normal ECG (with non-variation of heart rate). © 2013 IEEE.
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    New technique for embedding watermark image into an audio signal
    (2009-12-01)
    Kaengin, Sarawut
    ;
    Airphaiboon, Surapan
    ;
    Pathoumvanh, Somsanouk
    An audio watermarking algorithm which embedded watermark image is presented in this paper. A binary watermark image is embedded into an audio signal. For embedding process, the original audio signal is decomposed to wavelet domain by using wavelet basis. In order to obtain the robustness watermark signal, low frequency coefficients are selected and then divided to several segments. A mean of each segment is calculated and applied for the voting technique combination with mean-quantization performs embedding the watermark into the original audio signal. After original audio signal is embedded, the watermarked audio signal distortion is still inaudible. In addition, the watermark image could be recovered without using the original audio signal in extracting process. The experimental results show that the watermark image obtained from this algorithm is robust to many attack operations, such as Additive White Gaussian Noise, resampling, requantization, low pass filtering, and mp3 compression. ©2009 IEEE.
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    ECG data compression using adaptive Beat subtraction method
    (2008-12-01)
    Pathoumvanh, Somsanouk
    ;
    Airphaiboon, Surapan
    ;
    Hamamoto, Kazuhiko
    This paper proposes an adaptive beat subtraction method for ECG compression scheme, which can be maximized the compression ratio (CR) and minimized the percent root- mean-square difference (PRD). The compression process of this scheme is based on the wavelet domain, combining with the various preprocessing process such as: beat detection, beat normalization and beat difference. The advantage of this scheme is applied the adaptive average beat subtraction before introduce to the scalar quantization process and Huffman coding process. Since, ECG signal is generally composed of a number of beats, repeated at fairly regular intervals. The Huffman code should be able to increase the compression ratio by using adaptive average beat subtraction method. This method is operated the subtraction between an adaptive average beat with individual normalized beat intervals. The experimental results show the compression performance of the proposed method refer to the MIT/BIH arrhythmia database and the record 114, 222, and 234 have been employed as input data. The obtained of compression ratio is approximately 4 to 15, and the percent root-mean-square difference is 0.05% to 1.5%. © 2008 IEEE.