• 음성과학
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• 제14권4호
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• pp.145-156
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• 2007

The performance of speaker identification is severely degraded in noisy environments. Recently probability weighting method based on observation membership was proposed for overcoming the noise problem[1]. In the paper[1] the observation confidence was calculated from SNR with sigmoid function. However, estimating SNR needs additive calculation amount and estimated SNR is corrupted in dynamic noisy environments. In this paper we propose estimation methods of the observation confidence based on score-based reliabilities (SBR) of entropy and dispersion measures. Generally SBRs are obtained from speaker models' probabilities. The proposed methods are evaluated with ETRI speaker recognition DB. We compared the performances of the proposed methods with those in [1][8]. The experimental results show that the proposed methods can be successfully applied for the case where SNR is not available.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.270-273
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• 2007

In this paper, a SAR-despeck1ing approach of adaptive iteration based a Bayesian model using the lognormal distribution for image intensity and a Gibbs random field (GRF) for image texture is proposed for noise removal of the images that are corrupted by multiplicative speckle noise. When the image intensity is logarithmically transformed, the speckle noise is approximately Gaussian additive noise, and it tends to a normal probability much faster than the intensity distribution. The MRF is incorporated into digital image analysis by viewing pixel types as states of molecules in a lattice-like physical system. The iterative approach based on MRF is very effective for the inner areas of regions in the observed scene, but may result in yielding false reconstruction around the boundaries due to using wrong information of adjacent regions with different characteristics. The proposed method suggests an adaptive approach using variable parameters depending on the location of reconstructed area, that is, how near to the boundary. The proximity of boundary is estimated by the statistics based on edge value, standard deviation, entropy, and the 4th moment of intensity distribution.

• 유통과학연구
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• 제10권11호
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• pp.31-37
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• 2012

Purpose - This study was conducted under the assumption that brand A, a store of company Z of Pangyo, with a new store at Pangyo station is targeting the Bundang-gu area of the newly developed city of Seongnam. Research design, data, methodology - As a result of demand forecasting using geometric series models, an extrapolation of past trends provided the coefficient estimates, without utilizing regression analysis on a constant increase in children's wear, for which the population size and estimated parameter were required. Results - Demand forecasting on the basis of past trends indicates the likelihood that sales of discount stores in the Bundang area, where brand A currently has a presence, would fetch a higher estimated value than that of the average discount store in the country during 2015. If past trends persist, future sales of operational stores are likely to increase. Conclusions - In evaluating location using the simple weighting model, Seohyun Lotte Mart obtained a high rating amongst new stores in Pangyo, on the basis of accessibility, demand class, and existing stores. Therefore, when opening a new counter at a relevant store, a positive effect can be predicted.

• 공업화학
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• 제8권6호
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• pp.1041-1047
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• 1997

$\omega$-Phenylalkylamine salt의 존재하에서 sodium dodecyl sulfate (SDS)의 임계 미셀농도(CMC)를 전기전도도법으로 구하였다. 유기염의 alky기의 길이가 길어짐에 따라 CMC는 감소하는 경향을 보여주었다. 유기첨가제의 존재하에서 $18^{\circ}C-50^{\circ}C$의 온도 범위에서 SDS의 미셀화 과정에 수반되는 열역학적 파라메터를 구하였다. 이 온도 범위에서 SDS의 미셀화 자유에너지 (${\Delta}G_m^{\circ}$)는 음의 값을 나타내며 미셀화 엔트로피(${\Delta}S_m^{\circ}$)는 큰 양의 값을 나타내었으며 미셀화 엔탈피(${\Delta}H_m^{\circ}$)는 낮은 온도($18^{\circ}C$)에서는 양의 값을 나타내지만 높은 온도($>25^{\circ}C$)에서는 음의 값을 나타내었다. 미셀화는 자발적인 상전이 현상임을 알 수 있었다. 이들 열역학적 파라메터들은 유기염의 소수성 부분의 길이가 길어짐에 따라 감소하는 경향을 보여주었다. 비전도도 값의 차(${\Delta}\kappa$)가 유기염의 mol 비가 증가할수록 큰 값을 나타내었다. 그러므로 유기염의 소수성 부분의 길이가 길어질수록 유기염들은 더 쉽게 SDS 미셀내의 palisade층까지 깊이 침투하여 안정한 혼합 미셀을 형성함을 알 수 있었다.

• 한국전자파학회논문지
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• 제30권1호
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• pp.60-69
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• 2019

본 논문에서는 전방 관측 특히, 곡선운동을 하는 차량용 전방 관측 역산란 합성 영상 형성에 대해 다룬다. 영상 형성을 위해 시간 영역 상관관계(time domain correlation: TDC) 기법이 사용되었으며, 차량의 전방 지면의 2D 영상을 얻는다. TDC는 공간변화 시스템에 대한 정합 필터링을 구현한 기법이므로 가우시안 잡음에 강건하다. 또한, 직선운동을 할 때의 영상과 곡선운동을 할 때의 영상에 대한 비교, 분석을 통해 곡선운동을 했을 때 영상의 엔트로피가 증가하는 대신 영상의 분해능이 향상되었음을 보인다.