• 천문학회보
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• 제44권1호
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• pp.62.3-62.3
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• 2019

After first identification of electromagnetic counterpart of gravitational wave source (GW170817), era of multi-messenger astronomy has begun. For specifying coordinate, magnitude, and host galaxy information, optical follow-up observation of GW source becomes important. With following engineering run and O3 run of LIGO and VIRGO starting in March 2019, we present searching strategy for optical counterpart of GW source using KMTNet. 24 hours monitoring system and large field of view (4 square-degree) of KMTNet are advantage to discover a transient like GW event. By performing tiling observation of high probability area in GW localization map, we expect to observe early light-curve of GW optical counterpart. After identification, follow-up observation with various KMTNet bands and other telescopes like Gemini and UKIRT will also be performed. We will study collision mechanism, progenitor, and characteristics of host galaxy using observation data of GW source.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2014년도 하계학술대회
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• pp.179-180
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• 2014

The main goal of this paper is to present an adaptive filter system using NLMS(Normalized Least mean square) adaptive algorithm for noise cancellation. The proposed algorithm has less computational complexity and better convergence property than the former algorithms like spectral subtraction algorithm, etc. We use TIMIT criterion voice and Noisex-92 for the experiment. The experimental result shows the feasibility of our algorithm for filtering noise from voice effectively.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1987년도 한국자동제어학술회의논문집; 한국과학기술대학, 충남; 16-17 Oct. 1987
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• pp.464-469
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• 1987

The Kalman filter is an optimal linear estimator that has been an active research topic for the past three decades. The scheme has become the milestone of modern filtering, and it is applied to many areas including navigations and controls of free vehicle. The Kalman filter technique is matured. But some problems are still remained to be resolved. The prevention of divergence induced by digital implementation, nonoptimal application for nonlinear system, and application to non-Gaussian processes are some of the problems. This paper surveys the problems. The square root filtering is suggested to prevent the divergence. The extended Kalman filter is used for nonlinear systems. And, many other approaches to Kalman-like optimal estimators are also investigated.

• Journal of Advanced Marine Engineering and Technology
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• 제28권4호
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• pp.569-576
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• 2004

In this paper, passive telemetry capacitive humidity sensor system using a RLSE(Recursive Least Square Estimation) technique is proposed. To overcome the problem like power limits and complications that general passive telemetry sensor system including IC chip has, the principle of inductive coupling is applied to model the sensor system. Specially. by applying the forgetting factor we show that the accuracy of its estimation can be improved even in the case of time varying parameter and also the convergence time can be reduced.

• Bulletin of the Korean Chemical Society
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• 제18권10호
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• pp.1067-1070
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• 1997

The synthesis and characterization of the nitrile ligands 3,4,5-tridodecyloxy benzonitrile (7) and 3,4,5-trioctadecyloxy benzonitrile (8), and their corresponding palladium(Ⅱ) complexes are described. The nitrile ligands display only a crystalline phase and do not show liquid crystalline behavior, while their corresponding palladium(Ⅱ) complexes dispaly an enantiotropic columnar mesophase. The induction of the columnar mesophase is mainly due to dimerization through the palladium complexation of the half disk-like nitrile ligands giving rise to a trans square planar geometry.

• 한국통신학회논문지
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• 제29권10C호
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• pp.1425-1432
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• 2004

기존의 LSE(Least Square Estimation)를 이용한 영상보간 방법은 다른 방법들 보다 고주파 성분인 에지 부분의 보간 성능이 뛰어나고 월등한 주관적 화질의 향상을 보인다. 하지만 같은 고주파 성분인 잡음 성분의 증폭으로 인해 보간 된 일부 영상은 자연스럽지 못하는 문제점이 있다. 또한 연산량과 메모리 요구량이 상당히 높아 실시간이나 고속 구현에 어려움이 따른다. 본 논문에서 제안하는 방법은 단순한 샘플윈도우와 Direction Detector를 사용하여 보간 연산에 사용되는 참조 화소의 개수를 화질의 열화 없이 줄임으로써 연산량과 메모리 요구량을 획기적으로 줄였다. 또한 Bi-Linear 보간 방법을 선택적으로 적용함으로써 기존 방법에서 에러가 생기는 부분을 보완하였다. 컴퓨터 모의 실험 결과 기존의 LSE를 이용한 보간 방법 보다 주관적인 화질이나 객관적인 화질에서도 보다 나은 결과를 보여 주는 것을 확인하였다.

• 한국농촌건축학회논문집
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• 제14권4호
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• pp.37-45
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• 2012

The villages in island were established overcoming natural environment through Shamanism and changed by developing various industrials like transportation. Gapa Island located in southern part of Jejudo is flat topography different from the other islands. The purpose of this study is to clarify characteristics on transformation of community space in Gapa Island. For purpose, community spaces in Gapa Island are researched such as establishment, function, change, and use of community space. Spatial components in Gapa Island are like as spaces in faith, residential area, area for production, commercial zone, community space, education facilities, public offices, port, and roads. The methods of this study are literature research and interview survey for residents in Gapa Island. The results are as followings: First, community space is in charge about social, industrial, and religious function. Second, for traditional spaces separated for male and female, demarcation of space does not exist in industrial side but the demarcation has still been exist in religious side. Finally, by development of tourism new community space has been charge in festival function as well as function of space like agora for meeting with people freely, which is relatively various in function of community space in social side. Role of the dock for ship, main transportation of island, is being increasing as square.

• 한국자동차공학회논문집
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• 제21권6호
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• pp.175-182
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• 2013

Lately, customers think highly of the emotional satisfaction and as a result, issues on odor are matters of concern. The cases are odor of interior material and air-conditioner of vehicles. In particualar, with respect to the odor of air-conditioner, customers strongly claimed defects with provocative comments : "It smells like something rotten," "It smells like a foot odor," "It stinks like a rag." Generally, it is known that mold of evaporator core in the air-conditioning system decays and this produce VOCs which causes the odor to occur. In this study, partial least squares regression model is applied to predict the strength of the odor and select of important VOCs which affect car air conditioning smell. The PLS method is basically a particular multilinear regression algorithm which can handle correlated inputs and limited data. The number of latent variable is determined by the point which is stabilized mean absolute deviations of VOCs data. Also multiple linear regression is carried out to confirm the validity of PLS method.

• Bulletin of the Korean Chemical Society
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• 제29권4호
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• pp.833-841
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• 2008

Principal component-genetic algorithm-multiparameter linear regression (PC-GA-MLR) and principal component-genetic algorithm-artificial neural network (PC-GA-ANN) models were applied for prediction of melting point for 323 drug-like compounds. A large number of theoretical descriptors were calculated for each compound. The first 234 principal components (PC’s) were found to explain more than 99.9% of variances in the original data matrix. From the pool of these PC’s, the genetic algorithm was employed for selection of the best set of extracted PC’s for PC-MLR and PC-ANN models. The models were generated using fifteen PC’s as variables. For evaluation of the predictive power of the models, melting points of 64 compounds in the prediction set were calculated. Root-mean square errors (RMSE) for PC-GA-MLR and PC-GA-ANN models are 48.18 and $12.77{^{\circ}C}$, respectively. Comparison of the results obtained by the models reveals superiority of the PC-GA-ANN relative to the PC-GA-MLR and the recently proposed models (RMSE = $40.7{^{\circ}C}$). The improvements are due to the fact that the melting point of the compounds demonstrates non-linear correlations with the principal components.

• Journal of Electrical Engineering and Technology
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• 제9권2호
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• pp.695-706
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• 2014

Partial discharge (PD) measurements have emerged as a dominant investigative tool for condition monitoring of insulation in high voltage equipment. But the major problem behind them the PD signal is severely polluted by several noises like White noise, Random noise, Discrete Spectral Interferences (DSI) and the challenge lies with removing these noise from the onsite PD data effectively which leads to preserving the signal for feature extraction. Accordingly the paper is mainly classified into two parts. In first part the PD signal is artificially simulated and mixed with white noise. In second part the PD is measured then it is subjected to the proposed denoising techniques namely Translation Invariant Wavelet Transform (TIWT). The proposed TIWT method remains the edge of the original signal efficiently. Additionally TIWT based denoising is used to suppress Pseudo Gibbs phenomenon. In this paper an attempt has been made to review the methodology of denoising the PD signals and shows that the proposed denoising method results are better when compared to other wavelet-based approaches like Fast Fourier Transform (FFT), Discrete Wavelet Transform (DWT), by evaluating five different parameters like, Signal to noise ratio, Cross-correlation coefficient, Pulse amplitude distortion, Mean square error, Reduction in noise level.