• Korean Journal of Food Science and Technology
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• v.27 no.2
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• pp.181-184
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• 1995

Ultrafiltration was applied for the production of soy-oligosaccharides from bean cooking water(BCW), a by-product recovered in soymilk processing. The ultrafiltration of BCW on a membrane of 20,000 cutoff molecular weight recovered most oligosaccharides as permeate with concomitant removal of protein at 40% when volume concentration ratio(VCR) exceeded 5.0. When the VCR exceeded 5.0, membrane rejection value(MRV) for protein started to increase slowly while the MRV for sugar showed a sharp increasing trend showing 6.57% at VCR 5.0 and 19.96% at VCR 10. The optimum VCR based upon the MRV's was 5.0. Maximum recovery of soy-oligosaccharides was, however, obtained at VCR 10.0.

• Journal of Digital Contents Society
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• v.16 no.4
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• pp.605-613
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• 2015

This paper addresses the problem to make sparse the projection matrix in pattern recognition method. Recently, the size of computer program is often restricted in embedded systems. It is very often that developed programs include some constant data. For example, many pattern recognition programs use the projection matrix for dimension reduction. To improve the recognition performance, very high dimensional feature vectors are often extracted. In this case, the projection matrix can be very big. Recently, RSR(roated sparse regression) method[1] was proposed. This method has been proved one of the best algorithm that obtains the sparse matrix. We propose three methods to improve the RSR; outlier removal, sampling and elastic net RSR(E-RSR) in which the penalty term in RSR optimization function is replaced by that of the elastic net regression. The experimental results show that the proposed methods are very effective and improve the sparsity rate dramatically without sacrificing the recognition rate compared to the original RSR method.

• Journal of the korean academy of Pediatric Dentistry
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• v.41 no.2
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• pp.174-179
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• 2014

Dens invaginatus is a developmental anomaly resulting from an infolding of the enamel organ into the dental papilla prior to calcification of the dental tissue. Clinical and radiographic presentation of dens invaginatus shows a lot of variation. The classification proposed by Oehlers(1957) is most commonly used among classifications of dens invaginatus. Several treatments have been suggested to treat Type III dens invaginatus where the pulp remains healthy but the invagination is associated with a periodontitis. The top priority objective is to preserve pulp as sound as possible. Thus, if there is no definite evidence of pulpal disease, the conservative access which treat invagination as distinct from the pulp is necessary. But, Endodontic treatment of Type III dens invaginatus has the particular problems associated with achieving adequate chemomechanical debridement of the root canal system and invagination, predictable length control and consistent filling. In this case report, the endodontic treatment limited within invagination was performed for treatment of Type III dens invaginatus, and filling with Mineral Trioxide Aggregate(MTA) resulted in good prognosis.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.22 no.1
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• pp.89-97
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• 2011

We analyze the performance of various techniques to overcome degradation of performance of STAP caused by nonhomogeneous clutter. The performance of NHD that used to eliminate outliers from nonhomogeneous clutter is improved by using the projection statistics(PS) that is robust to multiple outliers. The method of clutter covariance matrix estimation using a median value and the conventional method are also investigated and then compared. From the simulation results of STAP, the method of clutter covariance matrix estimation using a median value shows better performance than the conventional method for the calculation of the SINR loss, and MSMI for the single target and the multiple targets regardless of the NHD methods.

• Proceedings of the Korea Water Resources Association Conference
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• 2005.05b
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• pp.562-566
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• 2005

본 연구에서는 레이더 자료의 수문학적 적용성에 대한 정확도를 개선하고자 기상현업에서 운영하고 있는 관악산 도플러 레이더 자료를 활용하여 POD(Probability of Detection) 분석을 통해 레이더 오자료를 제거하고, 편차 보정기법을 적용하여 레이더 추정강수의 정확도를 개선시켜 이들의 수문학적 적용성을 검토하였다. 이를 위해 다양한 관측 고도각 별로 POD 분석을 수행한 결과 낮은 확률의 POD($p_l$)와 높은 확률의 POD($p_h $)의 범위가 변화하고, 레이더로부터 약 150 km 이상 떨어진 지역에서는 $1.95^{\circ}$ 이상의 고도각에서 탐지한 레이더 에코가 강수 추정에 유용하지 않음을 알 수 있었다. 또한 소양강유역을 대상으로 관측 강우량보다 과소추정되는 Marshall-Palmer 관계식의 레이더 추정강수를 편차 보정기법으로 실시간으로 보정하여 그 정확도를 향상시켰다. 보정된 레이더 추정강수를 HEC-1에 적용하여 유량해석을 수행한 결과, 보정된 레이더 추정 강수를 이용한 모의치와 관측유량사이에 매우 높은 상관성을 보이고 있음을 알 수 있었다. 따라서 편차 보정기법을 통해 보정된 레이더 강수는 수문학적 분석을 위한 입력자료로 유용하게 사용될 수 있을 것으로 판단된다.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.2
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• pp.153-158
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• 2020

In this paper, we studied an algorithm for estimating a desired target by removing noise and interference in a wireless communication environment. When an information signal with a mixture noise and interference receive a receiver, noise and interference signals must be removed to accurately estimate a desired target. In order to divide the received signal region into two spatial, a power spectrum is obtained by analyzing a correlation matrix, covariance, eigen vector, and eigen value. The proposed spectrum is an algorithm that can remove noise and interference, and analyzes the existing algorithm and target estimation performance through simulation. As a result of simulation, the target estimation resolution of existing algorithm is more than 10°, but the resolution of the proposed algorithm is less than 10°. The proposed algorithm has improved the resolution of about 5° than the exiting algorithm. The proposed algorithm proved that the target estimation accuracy and resolution are superior to the existing algorithm.

• Journal of the Institute of Convergence Signal Processing
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• v.9 no.1
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• pp.10-17
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• 2008

The purpose of this thesis is to reduce of error for source location through acoustic emission(AE) signal, generated elastic wave from crack growth to leak for facility diagnosis. Especially, in order to overcome noise from original signal, this paper proposed enhancement of source location by using noise reduction based on wavelet transform. To evaluate actual performance in experiments, Pencil Lead Break is used crack signal source on the aluminum plate and drain valve of air compressor is used as substitute pressure vessel to generate leak signal. In signal processing, wavelet shrinkage and soft threshold are used to discriminate signal source and then source location techniques have been effectively used with group velocity using material property and time difference between sensor using cross correlation. Source location for crack and leak test have some difference, but the result show that improved 30% with a average length within 10.46mm in crack test and improved 2% compare with average filter in leak test when we applied wavelet transform.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.44 no.3
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• pp.58-63
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• 2007

GPS signal is vulnerable to intentional and unintentional interferences since it has a very weak signal power and its structure is well-known. Among the interference rejecting techniques, the ATF is being generally used as a pre-correlation technique. However, it does not have a design parameter relating to the notch width, resulting in the spectral loss around frequency of the interference. The IIR notch filter has a design parameter relating to the notch width and can generate a sharp notch for the CW interference. In this paper, an adaptive IIR notch filter is proposed and the performance is evaluated using software signal generator and real measurements.

• The Journal of the Acoustical Society of Korea
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• v.38 no.6
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• pp.661-669
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• 2019

High frequency active sonar is appropriate for detecting small targets such as a diver in coast environment. In case of using high frequency active sonar in shallow coastal environment, a false alarm rate is high due to clutters caused by marine biological noise, ship noise, wake, etc. In this paper, we propose an algorithm for target detection which is robust against clutter in active sonar system in shallow coastal environment. The proposed algorithm increases the rate of reduction clutter using calculation of statistical characteristics of signal and a clustering method. The algorithm is evaluated and analysed with sea trial data, as a result, that shows the rate of reducing rate of clutter of 96 % and over.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.4
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• pp.57-64
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• 2024

The introduction of Smart Factories has transformed manufacturing towards more objective and efficient line management. However, most companies are not effectively utilizing the vast amount of sensor data collected every second. This study aims to use this data to predict product quality and manage production processes efficiently. Due to security issues, specific sensor data could not be verified, so semiconductor process-related training data from the "SAMSUNG SDS Brightics AI" site was used. Data preprocessing, including removing missing values, outliers, scaling, and feature elimination, was crucial for optimal sensor data. Oversampling was used to balance the imbalanced training dataset. The SVM (rbf) model achieved high performance (Accuracy: 97.07%, GM: 96.61%), surpassing the MLP model implemented by "SAMSUNG SDS Brightics AI". This research can be applied to various topics, such as predicting component lifecycles and process conditions.