• 한국가정과교육학회지
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• 제7권1호
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• pp.11-27
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• 1995

The purpose of this research is to study the middle and high school student’s value on the family life of the contemporary society. The data for this study has been collected for 808 students of kangwon-do by Liert-scale Type questionnaire. The data were processed by SPSS-X Program. Frequency, Percentage, Mean, Standard Deviation, One-way ANOVA, Pearson’r coefficient, Step-wise multiple regression and Cronbach’coefficient have been calculated and analyzed. The Summary of this research is described as follows. Firstly, the overall average of value of family life was 3.25 points which reflected more or less modern tendency. Secondly, significant difference in the student’s value of family life affected by environmental variables were such as sex(P<.001) school years(P<.001) group(P<.01). Thirdly, the overall average of the student’s interest in the home economics was 3.74 points which reflected heigher tendency, Significant difference in the student’s interest in the home economics according to environmental variables were such as sex(P<.001) school years(P<.05), living standard(P<.01), residential area(P<.001). Fourthly, the student’s overall interest in the home economics and their view on the family life were correlated as follows; Spare time(r=-1.3), parents-children(r=.12) relatives and neighbors(r=0.8) show lower correlation and household work(r=.07) show higher correlation. Fifthly, the area which has closest correlation with the value on the family life was the value on family economics, whereas is has been shown that the field with least correlation was the area of supporting the spare time. Sixthly changes that affect the student’s value of the family life were such as sex (${\beta}$=.43), school years(${\beta}$=.18), group(${\beta}$=.15) and interest degrees(${\beta}$=-.12). These whole explanatory power was 21%.

• 한국산학기술학회논문지
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• 제21권12호
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• pp.672-678
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• 2020

최근 들어 초고속의 영상 촬영이 가능한 저가이며 성능이 우수한 카메라가 등장함에 따라서 물체의 미세한 움직임까지 정확하게 묘사한 초고속의 영상들이 보편화되고 있는 실정이다. 본 논문에서는 빠른 속도로 입력되는 초고속의 영상으로부터 예기치 않게 포함된 잡음을 제거한 다음, 잡음이 제거된 영상으로부터 피부 영역과 같이 개인 정보를 대표할 수 있는 관심 영역을 추출하는 방법을 제안한다. 본 논문에서는 먼저 입력받은 초고속의 영상으로부터 비정상적인 전기 신호로 인해 발생한 잡음을 양방향의 필터를 적용하여 제거한다. 그런 다음, 사전 학습을 통해 생성한 색상 분포 모델을 사용하여 영상 내에 포함된 개인 정보를 대표하는 관심 영역인 피부 영역을 정확하게 추출한다. 실험 결과에서는 본 연구에서 소개된 알고리즘이 여러 가지의 초고속 영상으로부터 잡음을 제거한 다음 관심 영역을 강인하게 추출한다는 것을 보여준다. 본 논문에서 제시된 접근 방법은 영상 전처리, 잡음 제거, 목표 영역의 추적 및 감시 등과 같은 컴퓨터 비전 및 패턴인식과 관련된 여러 가지의 응용 분야에서 유용하게 사용될 것으로 예상된다.

• Journal of East Asia Management
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• 제4권1호
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• pp.1-22
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• 2023

This study conducted a big data analysis study through text mining and semantic network analysis to explore the perception of defense reform 2.0. The collected data were analyzed with the top 70 keywords as the appropriate range for network visualization. Through word frequency analysis, connection centrality analysis, and an N-gram analysis, we identified issues that received much attention such as troop reduction, shortening of military service period, dismantling of the border area unit, and returning wartime operational control. In particular, the results of clustering words through CONCOR analysis showed that there was a great interest in pursuing the technical group, concerns about military capacity reduction, and reorganization of manpower structure. The results of the analysis through text mining techniques are as follows. First, it was found that there was a lack of awareness about measures to reinforce the reduced troops while receiving much attention to the reduction of troops in Defense Reform 2.0. Second, it was found that it is necessary to actively communicate with the local community due to the deconstruction and movement of the border area units, such as the decrease of the population of the region and the collapse of the local commercial area. Third, it was judged that it is necessary to show substantial results through the promotion of barracks culture and the defense industry, which showed that there was less interest than military structure and defense operation from the people and the introduction of active policies. Through this study, we analyzed the public's interest in defense reform 2.0, which is a representative defense policy, and suggested a plan to draw support for national policy.

• 한국주거학회논문집
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• 제24권6호
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• pp.81-92
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• 2013

Recently, the interest in the mixed-use development of various urban planning facilities has been increased, but the interest in the Mixed-use development of bus depots that is closely related to our daily life is insufficient circumstance so far. Accordingly, this study aims to realize the necessity for the mixed-use development of bus depots as methods to improve the living environment and use efficiently the land, and to suggest reasonable development directions by analyzing their physical character after classifying bus depots according to their position in the residential area. As the results of study, bus depots have different properties according to their position in residential area and have the problem of space shortage. Also, many things such as location of entrances, the finish method of edge of bus depot's area are affected by the surrounding environment. So development plan to consider the each condition is required.

• 전기학회논문지
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• 제65권3호
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• pp.477-486
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• 2016

This paper presents the area classification, identification, and tracking for multiple moving objects with the similar colors. To do this, first, we use the GMM(Gaussian Mixture Model)-based background modeling method to detect the moving objects. Second, we propose the use of the binary and morphology of image in order to eliminate the shadow and noise in case of detection of the moving object. Third, we recognize ROI(region of interest) of the moving object through labeling method. And, we propose the area classification method to remove the background from the detected moving objects and the novel method for identifying the classified moving area. Also, we propose the method for tracking the identified moving object using Kalman filter. To the end, we propose the effective tracking method when detecting the multiple objects with the similar colors. Finally, we demonstrate the feasibility and applicability of the proposed algorithms through some experiments.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2004년도 춘계학술발표회논문집
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• pp.171-176
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• 2004

Image matching is fundamental process in photogrammetry and computer vision to identify and to measure corresponding features on the multiple images. Uniqueness of the matching entities and robustness of the algorithm are the key issues that have influence on quality of the matching result. The optimal solution could be obtained by utilizing appropriate matching entities in the first place. In this study, candidate matching points were extracted by interest operator, and an area-based matching method was applied with characteristics of the gray value distribution as the matching entities. The characteristic information is based on the concept of "intrinsic image" (or parameter image). The information was utilized as additional and/or complementary matching entities. Matching on interest points with the characteristic information resulted in high quality of matching because matching windows were created with surrounding pixels of the interest points that contain distinct and unique features. The experiment shows that matching quality and reliability increase by exploiting interest operator, and the characteristic information has potential to be matching entity.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년 학술대회 논문집 정보 및 제어부문
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• pp.297-299
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• 2006

Searching the region of interest on the Hough transform domain is done to determine the real road boundary on the high speed way. The mathematical morphology is employed to obtain the gradient image which is utilized in Hough transform. Many possible candidates of lines could appear on the ordinary road environment and simple selection of the strongest line segments likely to be fault boundary lines. To solve such problem, the search area for the candidates of the road boundary which is called the region of interest is limited on the Hough space. The effectiveness of the proposed algorithm has been shown with experimental results.

• Journal of Information Processing Systems
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• 제11권4호
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• pp.528-537
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• 2015

Text in images is one of the most important cues for understanding a scene. In this paper, we propose a novel approach based on interest points to localize text in natural scene images. The main ideas of this approach are as follows: first we used interest point detection techniques, which extract the corner points of characters and center points of edge connected components, to select candidate regions. Second, these candidate regions were verified by using tensor voting, which is capable of extracting perceptual structures from noisy data. Finally, area, orientation, and aspect ratio were used to filter out non-text regions. The proposed method was tested on the ICDAR 2003 dataset and images of wine labels. The experiment results show the validity of this approach.

• 한국산림과학회지
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• 제103권4호
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• pp.696-702
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• 2014

본 연구는 지속가능한 산림관리를 위한 산림경영인증림과 비인증림에서 생산된 펄프재의 가격차별화 방안을 합리적으로 제시하기 위해 수행하였다. 홍천과 인제, 신남지역의 산림경영인증림을 대상으로 투자비용과 목재가격을 조사하여 복리산식, 지불의사금액, 가격민감성분석을 실시하였다. 복리산식의 경우, 펄프재의 원가는 각 지역의 평균 $m^3$당 펄프재가격을 사용하였으며, 원금은 $m^3$당 펄프재가격에 투자비용을 합산하였다. 이율은 2~6%까지 적용해 보았으며, 투자 후 경과기간은 5년까지 계산하였다. 지불의사금액과 가격민감성분석은 설문분석을 통해 값을 도출하였다. 복리산식에서 이율 2%로 적용 시 경과기간 3년의 값과 이율 5~6%적용 시 경과기간을 1년으로 주어진 값이 추가 지불의사금액 5%와 가격민감성분석의 방법으로 도출된 최적가격 값과 유사한 결과 값으로 나타났으며 홍천, 인제, 신남지역에서 모두 결과 값이 동일한 패턴으로 나타났다.

• 대한치과교정학회지
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• 제47권4호
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• pp.215-221
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• 2017

Objective: This questionnaire study aimed to estimate the overall frequencies of positive perception towards orthodontic treatment among adults categorized according to age, sex, and area of living, and to identify barriers or negative perceptions preventing them from receiving orthodontic treatment. Methods: The participants included 598 adults aged over 20 years (230 men and 368 women) who visited the Dental Hospital of Seoul St. Mary's Hospital. The participants' opinions regarding their consideration of receiving orthodontic treatment were recorded using a specially designed questionnaire. Results: The overall rate of positive perception towards orthodontic treatment was 48.5%. Compared to adults in their 20s (63.2%), those in their 40s and 50s had a lower percentage of interest in orthodontic treatment (46.2% and 45.1%, respectively; p < 0.05). Overall, women (52.2%) had a higher rate of interest than did men (42.6%; p < 0.05). The area of living had no effect on the percentage of interest. The order of priority of chief complaints differed according to age: protrusion for those in the 20s and 30s, and spacing for those in the 40s to 60s. Overall, the main reason for not seeking treatment was the treatment fee. Respondents aged over 40 considered themselves "too old" for orthodontic treatment. Conclusions: The middle-aged had a relatively high percentage of interest (above 45%) in orthodontic treatment. However, demographic characteristics were not significantly associated with the positive interest. These results highlight the need for educating the middle-aged about the limitations and possibilities of orthodontic treatment to increase its acceptance.