• The Journal of Engineering Geology
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• v.18 no.4
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• pp.371-379
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• 2008

In this study, seismic elastic wave and dynamic elastic modulus properties are investigated by down-hole seismic tests that were applied to the 11 gneiss area. The research results show that the realtionship between the two properties are $V_s=0.5589{\times}V_p$ in gneiss. The relationship between the two properties are separated into two groups. Group 1 is influenced mainly by the specific gravity of rock, but group 2 is influenced mainly by the joint aperture. As weathering progresses, group 1 clearly shows a decreasing tendency. In fresh and slightly weathered rock-mass, correlations between $V_p$ and dynamic elastic modulus is expressed in linear line but in moderately-highly weathered rock-mass, correlations between $V_p$ and dynamic elastic modulus is expressed curve as a quadratic function. Correlations between $V_s$ and dynamic elastic modulus are analyzed similar with a $V_p$ case.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.5
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• pp.605-610
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• 2008

There are many methods for Human-Computer Interface. Recently, many researchers are studying about Brain-Signal this is because not only the disabled can use a computer by their thought without their limbs but also it is convenient to general people. But, studies about it are early stages. This paper proposes an EEG signals measurement and analysis methods for Brain-Computer Interface. Our purpose of this research is recognition of subject's intention when they imagine moving their arms. EEG signals are recorded during imaginary movement of subject's arms at electrode positions Fp1, Fp2, C3, C4. We made an analysis ERS(Event-Related Synchronization) and ERD(Event-Related Desynchronization) which are detected when people move their limbs in the ${\mu}$ waves and ${\beta}$ waves. Results of this research showed that ${\mu}$ waves are decreased and ${\beta}$ waves are increased at left brain during the imaginary movement of right hand. In contrast, ${\mu}$ waves are decreased and ${\beta}$ waves are increased at right brain during the imaginary movement of left hand.

• The Bulletin of The Korean Astronomical Society
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• v.46 no.2
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• pp.60.2-60.2
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• 2021

중력파 관측은 2015년에 사상 최초로 검출에 성공한 이래, 불과 5년 만에 주 1 회 이상 안정적으로 검출되고 있으며 검출기들의 성능이 계속 향상됨에 따라 관측 범위와 빈도가 급격히 확대되는 추세에 있다. 이제 중력파는 전자기파 외에 우주를 보는 새로운 창으로서 확고한 지위를 구축하고 있으며 향후 무궁무진한 발전의 잠재력을 보여주고 있다. 이러한 가능성을 일찌감치 내다본 미국과 유럽의 선도 국가들은 현재 운영 중인 LIGO와 Virgo 검출기의 지속적인 업그레이드는 물론 Cosmic Explorer, Einstein Telescope 등 차세대 거대 검출기 개발을 병행해서 진행하고 있으며, 일본, 인도, 중국, 호주 등 후발주자들도 제각기 다양한 중력파 검출기 계획들을 추진하고 있다. 이에 한국천문연구원에서도 2019년부터 중력파 검출기술 연구를 시작하였으며, 특히 한국과학기술원 물리학과와 협력하여 차세대 핵심기술인 양자잡음 저감기술을 중점적으로 개발하고 있다. 이 발표에서는 본 연구팀의 최근 연구 진행상황을 요약하고 국제 중력파 검출기 공동개발 참여 현황을 소개한다.

• Proceedings of the KIPE Conference
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• 2018.07a
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• pp.442-443
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• 2018

본 논문에서는 스위칭 기법에 따른 MMC HVDC 시스템의 고조파 특성을 분석하여, 그 결과를 소개하였다. MMC 토폴로지 기반의 VSC HVDC는 SM(Sub-Module)을 다수를 직렬 연결하여, 이를 개별 제어함으로 써 스위칭 기법에 따라 동일한 수의 SM을 가지고 출력전압의 레벨수를 조정하여 고조파 특성을 개선할 수 있다. (주) 효성에서는 행원 풍력단지에 구축한 20MW HVDC 시스템의 고조파 특성을 분석하기 위하여, 각각 11-level과 21-level의 출력전압을 형성하여 성능 시험을 진행하였다. 본 논문에서는 PSC PWM 방식을 이용하여 출력전압 Level 형성에 따른 고조파 특성 시험에 대한 결과를 소개하였다.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.26 no.10
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• pp.869-875
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• 2015

In this paper, the surface wave that caused the isolation problem when the design of the array antenna is studied. The grounded dielectric slab model is used in order to simulate in the similar environment with the surface wave of the microstrip patch antenna. The propagation of the surface wave on the various types of grounds which are defected ground structure(DGS), perfect magnetic conductor(PMC), Soft-surface, and Hard-surface is simulated. As a result, 25 % power is blocked by the DGS when the TM-wave incident. Also, 95 % power is blocked by the PMC and Soft-surface. This study will be very useful to increase the gain of an array antenna by improving the isolation between the antenna elements.

• Geophysics and Geophysical Exploration
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• v.25 no.3
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• pp.140-161
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• 2022

Seismic data with missing traces are often obtained regularly or irregularly due to environmental and economic constraints in their acquisition. Accordingly, seismic data interpolation is an essential step in seismic data processing. Recently, research activity on machine learning-based seismic data interpolation has been flourishing. In particular, convolutional neural network (CNN) and generative adversarial network (GAN), which are widely used algorithms for super-resolution problem solving in the image processing field, are also used for seismic data interpolation. In this study, CNN-based algorithm, U-Net and GAN-based algorithm, and conditional Wasserstein GAN (cWGAN) were used as seismic data interpolation methods. The results and performances of the methods were evaluated thoroughly to find an optimal interpolation method, which reconstructs with high accuracy missing seismic data. The work process for model training and performance evaluation was divided into two cases (i.e., Cases I and II). In Case I, we trained the model using only the regularly sampled data with 50% missing traces. We evaluated the model performance by applying the trained model to a total of six different test datasets, which consisted of a combination of regular, irregular, and sampling ratios. In Case II, six different models were generated using the training datasets sampled in the same way as the six test datasets. The models were applied to the same test datasets used in Case I to compare the results. We found that cWGAN showed better prediction performance than U-Net with higher PSNR and SSIM. However, cWGAN generated additional noise to the prediction results; thus, an ensemble technique was performed to remove the noise and improve the accuracy. The cWGAN ensemble model removed successfully the noise and showed improved PSNR and SSIM compared with existing individual models.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 1990.06a
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• pp.767-771
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• 1990

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.10a
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• pp.268-268
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• 2003

• Journal of Korea Water Resources Association
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• v.42 no.12
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• pp.1125-1133
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• 2009

Evanescent modes which are the other solutions of the Laplace equation for the linear dispersion equation may affect the wave transformation especially when a water depth varies abruptly. In this study, the effects of evanescent modes for a three-dimensional depression of seabed are investigated by using the eigenfunction expansion method. A convergence test is first carried out by changing numbers of domains and evanescent modes. The wave transformation for various depressions of seabed is then calculated under condition that the solution of the eigenfunction expansion method is converged.

• Journal of the Korean Geotechnical Society
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• v.18 no.4
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• pp.95-104
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• 2002

The theoretical and analytical studies on dynamic signals(force and acceleration signals) measured at SPT rod are actively made. In this paper, the characteristics of stress wave(force signals) in SPT rod were studied experimentally using model rod system. It was noted that the amplitude ratios of reflected wave over incident wave in different end conditions were well matched with theoretical results. The impedance of soil could be determined if the characteristics of incident and reflected waves could be evaluated quantitatively in situ SPT test. On the other hand, the results of model tests showed that the effect of reflected wave caused by side friction was negligible, and therefore, the analysis model considering only end resistance of sampler could be applicable in dynamic analysis of SPT.