문무잡과(文武雜科) 방목(榜目)의 의사학적(醫史學的) 가치(價値)

유희영 대한한방신경정신과학회 1990 동의신경정신과학회지 Vol.1 No.1

지역간(地域間) 학력고사(學力考査)와 지능(知能)에 대(對)한 비교연구(比較硏究) -대학학력고사(大學學力考査)를 중심(中心)으로-

유희영,김정화 대한한방신경정신과학회 1990 동의신경정신과학회지 Vol.1 No.1

어머니의 양육효능감과 정서표현성이 유아의 정서지능과 또래유능성에 미치는 영향

유희영,곽경화 학습자중심교과교육학회 2023 학습자중심교과교육연구 Vol.23 No.22

Objectives This study is to investigate the impact of maternal parental efficacy and emotional expressiveness on the emotional intelligence and peer competence of young children. Methods The subjects were 291 young children aged 3 to 5 years old and 291 mothers enrolled in a daycare center located in G city, and the collected data were analyzed by Pearson's method to analyze the correlation between each variable using the SPSS 21.0 program. Correlation analysis was conducted, and multiple regression analysis was conducted to analyze the influence relationship of variables. Results Firstly, as a result of examining the correlation of each variable, a significant positive correlation was found between mother's parenting efficacy and young children's emotional intelligence and peer competency. Positive emotional expression among mothers' emotional expressiveness was found to have positive correlations with young children's emotional intelligence and peer competence. Secondly, as a result of examining the effect of mother's parenting efficacy and emotional expression on iyoung children's emotional intelligence, it was found to have a significant effect. Thirdly, as a result of examining the effect of mother's parenting efficacy and emotional expression on young children's peer competency, it was found to have a significant effect. Conclusions Through this study, it was confirmed that mothers' parenting efficacy and emotional expressiveness had an effect on young children's emotional intelligence and peer competence. Therefore, in order to improve young children's emotional intelligence and peer competence, it is necessary to enhance mothers' parenting efficacy and emotional expression, suggesting the need for education and programs for this purpose.

Recombinant Mussel Coating Protein Fused with Cell Adhesion Recognition Motif Enhanced Cell Proliferation

유희영,송영훈,서정현,차형준,황동수 한국생물공학회 2015 Biotechnology and Bioprocess Engineering Vol.20 No.2

Endurable coating on biomedical substrates is one of the most important issues in biomedical engineering field. Recently, a robust yet reversible coating has found in the cuticle of mussel byssus and the mimicking of the mussel cuticle coating has been considered as a strategy to build up endurable coating on biomedical materials. To date, the only known protein in the cuticle is mussel foot protein-1 (fp-1). To form endurable and bioactive coating on the biomedical surface, the fusion protein of fp-1 and GRGDSP peptide (fp-1-RGD) was genetically designed and produced in E. coli. The fusion protein of fp-1-RGD was successfully expressed as a form of inclusion body and was simply purified by diluted acetic acid extraction with high purity (~95%). Fp-1-RGD was coated on the tissue culture polystyrene (TCPS) and showed better preosteoblast cell proliferation than that of TCPS. Therefore, the marriage of fp-1 and bioactive peptide can be a good strategy to form bioactive and endurable coating in biomedical field.

PISA2015 참여국의 과학성취도와 과학의 즐거움에 대한 인식 비교

유희영,오윤정 이화여자대학교 교과교육연구소 2019 교과교육학연구 Vol.23 No.4

이 연구에서는 PISA2015 참여국의 과학성취도 및 과학3영역(물상계, 생물계, 지구우주계) 성취도, 과학 및 과학3영역의 최상위성취자 비율, 과학의 즐거움과 이들 사이의 상관관계를 분석하고 한국 과학교육의 시사점을 도출하고자 하였다. 연구의 결과는 다음과 같다. 첫째, PISA2015 참여국의 과학성취도 평균은 476.9점이었으며 과학성취도 상위국(평균 510.4점)과 하위국(435.4점)은 75.0점 차이였다. 참여국의 과학 최상위성취자 비율은 평균 6.5%이며 과학성취도 상위국(10.0%)과 하위국(2.1%)은 7.9%p 차이였다. 둘째, PISA2015 참여국의 과학성취도는 과학3영역 성취도와 최상위성취자 비율을 76.0-99.7% 예측할 수 있었다. 셋째, PISA2015 참여국의 과학의 즐거움의 동의 비율은 64.0%였으며 과학성취도 상위국은 61.2%, 하위국은 67.5%였다. 넷째, 과학성취도 및 과학3영역 성취도, 과학 및 과학3영역 최상위성취자 비율, 과학의 즐거움은 PISA참여국은 부적 상관, 과학성취도 상위국에서는 낮은 상관, 하위국은 높은 부적 상관이 나타났다. The purpose of this study was to analyze present condition of science performance, 3 major fields of science performance, science top performers (%), 3 major fields of science top performers (%) and enjoyment of science in PISA2015 participating countries and define correlation among research items. The results were as follows. First, science performance average of PISA2015 participating countries were 476.9, the score difference between high science performance countries (average 510.4) and low science performance countries (average 435.4) was 75.0. Second, science performance of PISA2015 participating countries were expected to performance of 3 major fields of science and percentage of top performers in 3 major fields of science 76.0-99.7%. Third, percentage of agreement on enjoyment of science was reported 64.0% in PISA2015 participating countries, 61.2% in high science performance countries and 67.5% in low science performance countries. Fourth, for the correlation among science performance, 3 major fields of science performance, science top performers (%), science top performers (%) in 3 major science fields, and enjoyment of science, PISA2015 participating countries showed negative correlation, while high science performance countries showed low correlation and low science performance countries showed strong negative correlation.

Arabidopsis BAK1 과발현이 Rice 성장에 미치는 영향

유희영,조은영,오유진,남경희 한국육종학회 2007 한국육종학회 학술발표회 발표요지 Vol.38 No.1

Selecting Optimal Basis Function with Energy Parameter in Image Classification Based on Wavelet Coefficients

유희영,이기원,진홍성,권병두 대한원격탐사학회 2008 大韓遠隔探査學會誌 Vol.24 No.5

Land-use or land-cover classification of satellite images is one of the important tasks inremote sensing application and many researchers have tried to enhance classification accuracy. Previousstudies have shown that the classification technique based on wavelet transform is more effective thantraditional techniques based on original pixel values, especially in complicated imagery. Various basisfunctions such as Haar, daubechies, coiflets and symlets are mainly used in 2D image processing based onwavelet transform. Selecting adequate wavelet is very important because different results could be obtainedaccording to the type of basis function in classification. However, it is not easy to choose the basis functionwhich is effective to improve classification accuracy. In this study, we first computed the wavelet coefficientsof satellite image using ten different basis functions, and then classified images. After evaluating classificationresults, we tried to ascertain which basis function is the most effective for image classification. We also triedto see if the optimum basis function is decided by energy parameter before classifying the image using allbasis functions. The energy parameters of wavelet detail bands and overall accuracy are clearly correlated.The decision of optimum basis function using energy parameter in the wavelet based image classification isexpected to be helpful for saving time and improving classification accuracy effectively.

The Impacts of Decomposition Levels in Wavelet Transform on Anomaly Detection from Hyperspectral Imagery

유희영,박노욱 대한원격탐사학회 2012 大韓遠隔探査學會誌 Vol.28 No.6

In this paper, we analyzed the effect of wavelet decomposition levels in feature extraction for anomaly detection from hyperspectral imagery. After wavelet analysis, anomaly detection was experimentally performed using the RX detector algorithm to analyze the detecting capabilities. From the experiment for anomaly detection using CASI imagery, the characteristics of extracted features and the changes of their patterns showed that radiance curves were simplified as wavelet transform progresses and H bands did not show significant differences between target anomaly and background in the previous levels. The results of anomaly detection and their ROC curves showed the best performance when using the appropriate sub-band decided from the visual interpretation of wavelet analysis which was L band at the decomposition level where the overall shape of profile was preserved. The results of this study would be used as fundamental information or guidelines when applying wavelet transform to feature extraction and selection from hyperspectral imagery. However, further researches for various anomaly targets and the quantitative selection of optimal decomposition levels are needed for generalization.

위성영상 및 지구물리 영상자료의 호모몰픽 필터링 적용

유희영,이기원,권병두 한국지구과학회 2005 韓國地球科學會誌 Vol.26 No.1

Homomorphic filtering improves image by enhancing high components and reducing low components in the frequency domain based on FFT, as one of useful digital image processing techniques. In this study, the application program for homomorphic filtering was developed. Using this program, satellite imageries and geophysical image such as magnetic image data were processed and their results were analyzed. In case of applying to other techniques such as histogram equalization and kernel based masking for the same purpose, they often cause the slight distortion of boundary or overall change of brightness values on the whole image. Whereas, homomorphic filtering has ability to enhance selectively detailed components in a target image. Therefore, this technique can be effectively used for extraction or separation of complex types of characteristics contained in the satellite imagery. In addition, this technique would be applicable to investigate anomalous zone in various geophysical image data.

A Comparative Study of 3D DWT Based Space-borne Image Classification for Differnet Types of Basis Function

유희영,이기원,권병두 대한원격탐사학회 2008 大韓遠隔探査學會誌 Vol.24 No.1

In the previous study, the Haar wavelet was used as the sole basis function for the 3D discrete wavelet transform because the number of bands is too small to decompose a remotely sensed image in band direction with other basis functions. However, it is possible to use other basis functions for wavelet decomposition in horizontal and vertical directions because wavelet decomposition is independently performed in each direction. This study aims to classify a high spatial resolution image with the six types of basis function including the Haar function and to compare those results. The other wavelets are more helpful to classify high resolution imagery than the Haar wavelet. In overall accuracy, the Coif4 wavelet has the best result. The improvement of classification accuracy is different depending on the type of class and the type of wavelet. Using the basis functions with long length could be effective for improving accuracy in classification, especially for the classes of small area. This study is expected to be used as fundamental information for selecting optimal basis function according to the data properties in the 3D DWT based image classification.