• Journal of Ocean Engineering and Technology
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• v.15 no.3
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• pp.114-119
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• 2001

Goda formula (Goda, 1973) has been used in the determination of wave pressures acting on a large size caisson such as the pier of the cable stayed bridge at sea. Goda formula, however, is to evaluate the wave pressures acting the infinite vertical caisson of composite breakwater so that it can`t be applied to a large caisson with finite width and length because of diffraction effects. In the present study, three dimensional nonlinear frequence domain method based on perturbation method and boundary integral method is applied to the computation of the linear and nonlinear wave pressures acting on the front of a large size caisson under the variation of its width and length, and angle of incident wave. The numerical results are compared to Goda\`s ones, and then the characteristics of wave pressure distributions acting on a large size caisson are discussed.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.39 no.3
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• pp.53-61
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• 2002

In this paper, the authors proposed the digital audio watermarking algorithm for a high quality audio. Today, the digital watermark is used to confirm to the digital copyright protection, not only the digital image but the digital audio study is an activeness in the digital watermarking area. Especially, the watermark insertion in the digital audio area affects deeply not only a robustness but the audio quality of the watermarked audio data. Generally, the audio watermark is inserted in the frequence domain after FFT, the quality of audio data is affected by the watermark insertion. Thus, a high quality audio to be maintained at the same time, the study related a inserting of the robustness watermark happened to a hot issue. In this paper, the authors proposed the digital audio watermarking algorithm using psychoacoustic model and MDCT/IMDCT (Modified Discrete Cosine Transform/Inverse Modified Discrete Cosine Transform). In the proposed scheme, the authors experimented the stereo audio file with 44.1KHz, and 128kbps for the audio watermarking algorithm proposed. When the audio data is processed by MDCT, the watermark is able to insert into the frequence domain with 256, 1024 and 2048 interval. In case of 50㎳ RMS window, it was confirmed that the difference between the original audio data and the watermarked audio data of RMS power is 0.8㏈.

• Journal of Advanced Navigation Technology
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• v.12 no.3
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• pp.273-279
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• 2008

In this paper, we proposed a watermarking algorithm by using difference matrix between successive blocks in the transform domain. In the preprocessing, original image is decomposed with 1-level sub-bands by DWT. Then, all sub-bands which are excepted the low-frequency bands are set to normalize and make a reference image after transforming inverse DWT. The statistic variance of successive blocks between the original image and the reference image are calculated and finally, watermark is embedded considering the local characteristic with respect to the high-frequence components. Experimental results showed that the proposed approach is robust and better invisible in such attacks as filtering, JPEG and noise addition.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.40 no.6
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• pp.124-131
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• 2003

In this paper, we propose a Progressive scalable video coding algorithm using frequency weighting in the DCT domain. Since the human visual system (HVS) can be modeled as a nonlinear point transformation, called the modulation transfer function (MTF), we tan use the frequency weighting matrix to enhance the video image quality. We change this frequency weighting matrix into the frequency shift matrix to apply to the bit-plane coding method for the fine granular scalable (FGS) video coding We also define a new error metric JNDE (just noticeable difference) to measure the perceptual image quality in terms of human vision.

• Journal of Korea Society of Industrial Information Systems
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• v.4 no.1
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• pp.110-116
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• 1999

In this paper, signal processing is utilized to reduce the computational time which is one of weak point of FDTD(finite difference time domain) method. Compared with the direct FDTD. combination of FDTD and signal processing achieves the same type of accuracy in much shorter time The combination method spends 140 minutes to analyze the frequence characteristics of the microstrip lowpass filter while the direct FDTD consumes about 900 minutes. To verify the obtained results, microstrip lowpass filter is fabricated on dielectric substrate and the measured results are compared with the analyzed results. It is shown that measured results are in good agreement with the theoretical results.

• Journal of the Korea Society of Computer and Information
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• v.11 no.4 s.42
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• pp.55-60
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• 2006

The proposed method uses FFT(Fast Fourier Transform) and neural networks in order to extract texts in real time. In general, text areas are found in the higher frequency domain, thus, can be characterized using FFT. The neural network are learned by character region(high frequency) and non character region(low frequency). The candidate text areas can be thus found by applying the higher frequency characteristics to neural network. Therefore, the final text area is extracted by verifying the candidate areas. Experimental results show a perfect candidate extraction rate and about 95% text extraction rate. The strength of the proposed algorithm is its simplicity, real-time processing by not processing the entire image.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.958-961
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• 2015

Emotional expression is universal and emotional state impacts important areas in our life. Until now, analyzing the acquired EEG signals under circumstances caused by invoked feelings and efforts to define their emotional state have been made mainly by psychologists based on the results. But, recently emotion-related information was released by research results that it is possible to identify mental activity through measuring and analyzing the brain EEG signals. So, this study has compared and analyzed emotional expressions of human by using brain waves. To get EEG difference for a particular emotion, we showed specific subject images to the people for changing emotions that peace, joy, sadness and stress, etc. After measured EEG signals were converged into frequence domain by FFT signal process, we have showed EEG changes in emotion as a result of the performance analyzing each respective power spectrum of delta, theta, alpha, beta and gamma waves.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.22 no.2
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• pp.128-138
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• 2009

Objectives : The purpose of this study is to make a survey on the oriental medical care and to enlarge the domain of oriental medical treatment concerning facial paralysis. Methods : From May 2008 to April 2009, a clinical study was done on 100 inpatients who were diagnosed and treated as facial nerve paralysis at Mok-dong Oriental Medicine Hospital, Dong-shin University Results : The result were as the following 1. The distribution of sex: male 35%, female 65%. The distribution of age was disclosed that fifty was the most in 22 cases(22%). 2. The distribution of the region of facial palsy: Lt 58%(male 23%, female 35%) Rt 41%(male 11%, female 30%) 3. In distribution of contributing frequence in month, June was the most in number(12%) and in season, spring, summer, winter were the same percentage(26%). 4. In distribution of cause, stress(34%), excessive labor(25%), unknown(22%) were investigated higher than other conditions. 5. The distribution of past history: hypertension 14%, diabetes mellitus 4%, both(hypertension, diabetes mellitus) 6% 6. The distribution of period before admission: within a week 80%, 1$\sim$2 week 8%, 3$\sim$4 week 6% in order. 7. The distribution of attended symptoms: mastoid pain 43 cases, dryness of eye 26 cases, tearing 22 cases, headache 12 cases, dizziness 9 cases in order. 8. Other offices patients visited before coming to this clinic: oriental clinic or hospital 35%, local clinic or hospital 29%, none 26%, both(oriental clinic & local clinic) 10%. 9. The distribution of House-Brackmann grade on admission: Gr III 38%, Gr IV 26%, Gr II 22%, Gr V 14% in order. 10. The distribution of House-Brackmann grade on discharge: Gr II 34%, Gr I 32%, Gr III 22%, Gr V 7%, Gr IV 5% in order.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.37 no.1
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• pp.55-63
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• 2000

This paper investigated the sub-region compression effect of the three dimensional DCT(3D-DCT) using the difference component(DC) of inter-frame in images. The proposed algorithm are the method that obtain compression effect to divide the information into subband after 3D-DCT, the data appear the type of cubic block(8${\times}$8${\times}$8) in eight difference components per unit. In the frequence domain that transform the eight differential component frames into eight DCT frames with components of both spatial and temporal frequencies of inter-frame, the image data are divided into frame component(8${\times}$8 block) of time-axis direction into 4${\times}$4 sub block in order to effectively obtain compression data because image components are concentrate in corner region with low-frequency of cubic block. Here, using the weight of sub block, we progressed compression ratio as consider to adaptive sub-region of low frequency part. In simulation, we estimated compression ratio, reconstructed image resolution(PSNR) with the simpler image and the complex image contained the higher frequency component. In the result, we could obtain the high compression effect of 30.36dB(average value in the complex-image) and 34.75dB(average value in the simple-image) in compression range of 0.04~0.05bpp.

• Journal of Oriental Neuropsychiatry
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• v.26 no.2
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• pp.89-102
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• 2015

Objectives: To examine the medical effectiveness of meditation programs ($\alpha$ version) by psychological types. Methods: MBTI, which was created by Katharine Cook Briggs and Isabel Briggs Myers, was used as the Psychological Type test and to investigate psychological temperament and functions and psychological preferences. Heart rate variability was used to test the effectiveness of meditation by investigating time domains (mean HR, SDNN, PSI) and frequence domain parameters (TP, LF, HF, LF or HF norm, Ln (TP or VLF or LF or HF). Results: 1. The autonomic nervous system became active, and both time domains and frequency domains showed positive responses to meditation in heart rate variability tests, without distinction of Psychological Types. 2. In Psychological Types using sensing over intuition for perception, there were positive responses as well as an increase of the parasympathetic nervous system's activeness to meditation for heart rate variability tests, depending on psychological temperaments and psychological functions. 3. In heart rate variability tests by preferences, there was no difference. Extroversion and Introversion types, Sensing over Intuition Types, Thinking over Feeling Types, Judging over Perception Types had an increase of activeness of the parasympathetic nervous system. Therefore, meditation has a positive physical and psychological relaxing effect. Conclusions: A complex meditation program has a positive effect on overall meditation. Especially in the MBTI test, sensing was superior to intuition when people recognized objects. The Sensing, Thinking and Judging type was more advantageous than Intuition, Feeling and Perception, respectively. In the future, a well-designed control study is needed, to develop a suitable meditation for each personality type.