• Journal of Korea Society of Digital Industry and Information Management
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• v.12 no.4
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• pp.115-121
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• 2016

Recently, it has become an important problem to extract semantic objects from videos, which are useful for improving the performance of video compression and video retrieval. In this thesis, an automatic extraction method of moving objects of interest in video is suggested. We define that an moving object of interest should be relatively large in a frame image and should occur frequently in a scene. The moving object of interest should have different motion from camera motion. Moving object of interest are determined through spatial continuity by the AMOS method and moving histogram. Through experiments with diverse scenes, we found that the proposed method extracted almost all of the objects of interest selected by the user but its precision was 69% because of over-extraction.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2000.11a
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• pp.417-426
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• 2000

This study suggests integrated neural network models for Interest rate forecasting using change-point detection, classifiers, and classification functions based on structural change. The proposed model is composed of three phases with tee-staged learning. The first phase is to detect successive and appropriate structural changes in interest rare dataset. The second phase is to forecast change-point group with classifiers (discriminant analysis, logistic regression, and backpropagation neural networks) and their. combined classification functions. The fecal phase is to forecast the interest rate with backpropagation neural networks. We propose some classification functions to overcome the problems of two-staged learning that cannot measure the performance of the first learning. Subsequently, we compare the structured models with a neural network model alone and, in addition, determine which of classifiers and classification functions can perform better. This article then examines the predictability of the proposed classification functions for interest rate forecasting using structural change.

• Journal of the Korean Society of Clothing and Textiles
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• v.8 no.2
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• pp.1-9
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• 1984

The purpose of this study was to investigate the relationship between personality traits ana clothing interest in girls' high school students The results were as follows : 1. In the personality traits of higher groups, the subjects scored highest in Sociability followed by Ascendancy and Self-Confidence in a descending order. In the clothing interest, the subjects scored highest in clothing interest of shopping followed by clothing interest of design & fashion, clothing interest of construction, clothing interest of management and clothing interest of psychological aspect in a descending order. 2. There was partially significant relationship between personality traits and clothing into rest. 3. There were highly significant relationships among clothing interest subscales. Specially, there was the highest significant relationship between clothing interest of design & fashion and clothing interest of shopping. 4. There was partially significant relationship between clothing interest and background of home.

• Journal of the Korean Society of Costume
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• v.64 no.7
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• pp.68-81
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• 2014

This study was conducted to demonstrate the differences in people's beauty involvement, hair attitude and cognitive in accordance with their interest in celebrities and television. Also, the difference between cognitive age and real age was studied. Research subjects were females aged 20s to 50s living in Seoul and the surrounding metropolitan areas. The SPSS 19.0 was used for data analysis. The results were as follows: First, the involvement in TV entertainers' was categorized into "TV entertainer fashion fan group," "TV entertainer follower group," and "TV program interest group." Second, The involvement of beauty was divided into skin management and expression, body management, makeup and hair attitude. The factors for hair attitude come from the following four actors: "hair creator fan group", "hair homeostasis-oriented," "hair differentiation factor," and "hair personnel-oriented group." Third, the analysis for the differences in the involvement of beauty based on the people's interest in TV appearances of entertainers was that there was a significant difference in skin care and expression, body management, makeup and hair attitude. The interest groups for the entertainers' TV appearances showed the highest in all of the above categories. Fourth, The analysis for the cognitive age for the "TV entertainer interest group" showed little difference in cognitive age, age of sensibility, age of physical appearance, behavior age, and age of interest. Fifth, The result for the difference in the actual age and cognitive age for different age groups showed that there was a little difference in average cognitive age including the age of sensibility, age of physical appearance, behavior age, and age of interest.

• Journal of Family Resource Management and Policy Review
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• v.17 no.1
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• pp.221-239
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• 2013

To determine the problems with the apartment management system in Korea and to make recommendations for its development, a review and content analysis of the 2010 and 2011 editorials of two newspapers, The APT News and The Korea Apartment News, was conducted. Apartment management is divided into four areas: maintenance management, operations management, community management, and synthetic management. More than 50 percent of the editorials were concerned with the problems of operations management. There were two management subjects: the apartment manager and the apartment management company. Interest in the apartment management system varied between apartment managers and apartment management companies, so more positive policies and more interest are needed for apartment management.

• Journal of the Korean Society of Clothing and Textiles
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• v.7 no.1
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• pp.45-52
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• 1983

The purpose of this study was to investigate the relationship between family values and selected clothing behavior variables for a group of college women in Seoul, Korea. The findings of this study were as follows: 1. A significant positive relationship was found between family values and selected clothing behaviors. There were significant relationship between the materialistic family and one clothing behavior variable: Interest. There were significant relationship between the social climber family and six clothing behavior variables: Aesthetic, Modesty, Interest, Comfort, Attention and Dependence. There were significant relationship between the conventional family and seven clothing behavior variables: Aesthetic, Modesty, Interest, Comfort, Management, Social approval and Dependence. 2. There were differences in four clothing behavior variables according to their grades: The seniors placed significantly more importance on Aesthetic, Interest, Management, Dependence than freshmen. 3. There were differences in five clothing behavior variables a?cording to their major fields. Human social course placed significantly most important on Management. Natural science course placed significantly most important on Modesty. Art course placed significantly most important on three clothing behavior variables: Interest, Attention and Dependence.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.10a
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• pp.19-22
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• 1996

A traditional approach to the prediction of economic and financial variables takes the form of statistical models to summarize past observations and to project them into the envisioned future. Over the past decade, an increasing number of organizations has turned to the use of neural networks. To date, however, many spheres of interest still lack a systematic evaluation of the statistical and neural approaches. One of these lies in the prediction of corporate bond yields for Korea. This paper reports on a comparative evaluation of ARIMA models and neural networks in the context of interest rate prediction. An additional experiment relates to an integration of the two methods. More specifically, the statistical model serves as a filter by providing estimtes which are then used as input into the neural network models.

• Journal of Korean Home Economics Education Association
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• v.18 no.4 s.42
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• pp.13-23
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• 2006

The purposes of this study were to classify high school male and female students according to body cathexis and appearance interest, and understand their appearance management behaviors and clothing benefits sought. The results were as follows : First, the body cathexis of high school students were low, and female students had lower body cathexis than male students especially in the lower halves of bodies. The appearance interests of students were high, but female students had higher appearance interests than male students. Second, male students were classified by body cathexis and appearance interest into three groups with high, middle, and low body cathexis and appearance interest, and most of them belonged to the middle group. Female students were classified into four groups(with high body cathexis and appearance interest, with high body cathexis but low appearance interest, with low body cathexis but high appearance interest, and with low body cathexis and appearance interest) and most of them belonged to the group with low body cathexis but high appearance interest. Third, male students in groups with high and middle body cathexis and appearance interest showed more appearance management behaviors than those in the group with low body cathexis and appearance, while management behavior, followed by the group with low body cathexis but high appearance interest, that with high body cathexis but low appearance interest, and that with low body cathexis and appearance interest. Fourth, female students sought more aesthetics, fashionability, brand, and price in clothing coml)wed to male students. Male students in high and middle groups tended to seek more aesthetics, fashionability, and brand than those in the low group, but all three groups didn't consider price benefit sought. Female students with high body cathexis and appearance interest tended to seek more aesthetics and fashionability than those in other three groups. And only the group with low body cathexis and appearance interest didn't consider brand benefit sought. All four groups were found to consider price benefit sought. I hope that results of this study help teachers to guide students' clothing life more positively by understanding their appearance management behaviors and clothing benefits sought than to control negatively.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.10
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• pp.1611-1621
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• 2009

This study examines the significant relations in clothing behavior according to perceptual body image and appearance management behavior. The sampling method was a convenient sampling of 190 male and 160 female students in Daejeon. The survey was conducted from June to July 2008. The instruments consisted of perceptual body image (Silhouette Task), appearance management behavior (need for plastic surgery and appearance management in ordinary times) and clothing behavior (interest in clothing and fashion, along with conformity and exhibition). The data were analyzed using the frequency analysis, $Cronbach'{\alpha}$, factor analysis, t-test, and variance analysis. The subjects with normal body size perceptions had a strong need for plastic surgery, revealed more appearance management behavior, and had a high interest in clothing. The subjects who were dissatisfied with body apperance showed high conformity to clothing. The subjects who dissatisfied to their too fat body had high needs for plastic surgery and the subjects dissatisfied with a too thin body type did less appearance management in ordinary times. The subjects who had a high need for plastic surgery performed more appearance management, had a high interest in clothing and fashion, showed a high conformity to clothing, and exhibited a high exhibition of clothing. The subjects who had more appearance management in ordinary times had a high interest in clothing and fashion and showed a high conformity and exhibition of clothing.

• The Research Journal of the Costume Culture
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• v.18 no.2
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• pp.322-336
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• 2010

This study examines the appearance management attitude factor of male college students and groups them according to their characteristics. Then this research analyzes their interest in knitwear, buying behavior, and characteristics to see what kind of differences exist. The results of the research are as follows: First, after conducting a factor analysis to identify the appearance management attitude of male college students, 3 factors emerged(sought personality, pursued trends, and appearance interest). Second, as a result grouping the students according to their attitude. It is created 3 groups(fashionista group, personality group, and appearance interest group). Third, for the interest in knitwear, the fashionista group had the highest interest in knitwear, with a preferred brand when purchasing. Fourth, the fashionista group that values personality and latest trends was more likely to purchase knitwear than the personality group or the appearance interest group. Finally, the majority preferred solid colors. Over 50% of the students preferred knits without any patterns. Also, the most preferred 100% cotton. As this survey was only surveyed in Seoul and Gyounggi areas. The next research requires to be surveyed in a more comprehensive area. Additionally, male college students must more effectively be segmented and surveyed to get accurate results.