• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2007년도 학술대회 1부
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• pp.298-301
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• 2007

Computational speed plays key role in background subtraction and shadow detection, because those are only preprocessing steps of a moving object segmentation, tracking and activity recognition. A color intensity variation based approach fastly detect a moving object and extract shadow in a image sequences. The moving object is subtracted from background using meanmax, meanmin thresholds and shadow is detected by decrease limit and correspondence thresholds. The proposed approach relies on the ability to represent shadow cast impact by offline experiment dataset on sub grouped RGB color space.

• International Journal of Internet, Broadcasting and Communication
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• 제10권1호
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• pp.16-22
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• 2018

This paper presents a solution for personal profiling system based on user-oriented tracking. Here, we introduce a new way to identify and track humans by using two types of cameras: dome and face camera. Dome camera has a wide view angle so that it is suitable for tracking human movement in large area. However, it is difficult to identify a person only by using dome camera because it only sees the target from above. Thus, face camera is employed to obtain facial information for identifying a person. In addition, we also propose a new mechanism to locate human on targeted location by using grid-cell system. These result in a system which has the capability of maintaining human identity and tracking human activity (movement) effectively.

• ETRI Journal
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• 제37권5호
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• pp.1044-1054
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• 2015

The smart media (SM) industry has demonstrated that it has the characteristics to increase user innovative activities, enhance open innovativeness, and increase the segmentation of innovation value. This study introduces and evaluates an innovation system that reflects the characteristics of the SM industry. We categorize the SM industry into hardware, network, platform, and content industries and perform an AHP analysis (based on a survey of 96 experts) to evaluate the relative importance of the factors/factor groups affecting the creation of innovation. The results show that 'collaboration activity" is a more important factor than other innovation factor groups (financial support, R&D, policy environment, human resources) in the SM industry. The results also show that the important factors/factor groups differ by industry.

• 복식문화연구
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• 제6권3호
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• pp.100-110
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• 1998

The purpose of this study is to find out the benefits sought factors of clothing and to segment the female apparel market to analyze clothing preferences and demographic characteristics of benefit segments. The subjects were 303 female in their 30's and 40's living in Seoul and the Kyunggi province. For data analysis, mean, Factor Analysis, Cluster Analysis, ANOVA, Duncan test, x²-test were conducted. The results are as follows: 1. Benefits sought by female were found to include five different factors-brand, individuality, fashionability, activity and economy. As a result of subdividing the female, five distinctive groups were formed on the basis of benefit factors-brand oriented group, indifference group, indifference group, fashion oriented group, economy oriented group, individuality oriented group. 2. Among the classified benefit groups, there were significant differences in clothing preferences according to fabric, style and color. 3. Among the classified benefit groups, there were significant differences in demographic variables according to the academic background, occupation of the subjects.

• 기술혁신학회지
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• 제7권3호
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• pp.681-709
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• 2004

The purpose of this study is to classify customers by e-mail responsiveness on time-series analysis and testify the effectiveness of grouping by ROI analysis. Response recency, response frequency and Activity(RFA) of e-mailing systems are adapted for Customer segmentations. ROI analysis are consisted of open, click-through, duration time, personalization, conversion rate and email loyalty index of email systems. Major findings are as follows: RFA analysis is used for customer segmentations that is fundamental process of e-CRM applications. Customers can be grouped into loyal customers, odds customers, dormant customers, secession customers, and observation customers by RFA grouping. Loyal customer group has high point in all ROI index compared to other groups. These results indicated that customer responsiveness of e-mail systems were appropriate methods to group the customer with demographic variables. Therefore, effective e-mail marketing strategy of e-Biz should have suitable active DB and Behavior targeting is best approach to enforce the target e-mail marketing.

• 한국측량학회지
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• 제37권6호
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• pp.481-489
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• 2019

다시기 위성 영상을 이용한 변화탐지 분석은 인간 활동의 변화를 직접 반영하는 지표이다. 변화탐지는 크게 화소 기반 변화탐지(PBCD: Pixel-Based Change Detection)와 객체 기반 변화탐지(OBCD: Object-Based Change Detection)로 구분한다. 화소 기반 변화탐지는 알고리즘이 간단하고 비교적 쉽게 정량적 분석이 가능해 전통적으로 많이 쓰여온 기법이나 고해상도 영상에서의 화소 기반 변화탐지는 오탐지나 노이즈(noise)가 발생하기 때문에 고해상도 영상에서의 활용도가 떨어진다. 또한, 고해상도 다시기 영상은 취득 당시 센서의 자세나 지형적 특성으로 인해 영상 등록(image registration)을 수행한 이후에도 지형적 불일치가 발생한다. 등록오차(registration noise)라고 불리는 이 지형 불일치는 고해상도 다시기 영상 활용을 위한 공간정보 추출 시 정확도를 떨어뜨리는 방해요인으로 작용한다. 이에 본 연구에서는 등록오차를 고려한 고해상도 영상의 객체 기반 변화탐지를 수행하였다. 이 때, 다양한 화소 기반 변화탐지 결과를 모두 고려한 객체 기반 변화탐지 결과를 도출하였으며 이 과정에서 분할 영상(segmentation image)과의 major voting을 적용하였다. 제안 기법과 화소 기반 변화탐지 결과, 그리고 화소 기반 변화탐지 결과를 객체 기반 변화탐지로 확장한 결과의 비교를 통해 제안 기법의 우수성을 평가하였다.

• 한국의류산업학회지
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• 제16권2호
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• pp.245-254
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• 2014

The purpose of this study was to describe 20's to 30's men's fashion lifestyle and develop clusters in grooming related variables. We also tried to interpret profile of clusters, and determine the difference between different level of grooming clusters in appearance care behaviors, and clothing behaviors such as clothing selection, preference of clothing image and design in men's wear. Data was obtained using the survey methods by convenience sampling. Frequency analysis, factor analysis, cluster analysis, chi-square test, and t-test were used for analysis using SPSS 18.0. The result of factor analysis of men's lifestyle show that 5 factors are extracted. Two different clusters were formed after the K-means cluster analysis. We realized that the level of grooming activity is significantly associated with the young men's major expenditure item, and beauty/care items, and the reason for exercise. The level of grooming was strongly associated with clothing selection behaviors. In addition, there is a significant difference in preferred image between two different grooming groups. In the feminine image, HG group favored more than LG group. The preferred design was associated with the degree of grooming as well. Unique and stylish top and bottom styles such as cargo, hiphop, and boots cut were favored more by HG group than LG group. We suggest that we can do market segmentation by the degree of the grooming activity, considering the current men's taste and trend to extend market share.

• 한국의류학회지
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• 제21권1호
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• pp.82-92
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• 1997

The purpose of this study is to segment an infant's wear market on the base of housewife's fashion life-style for satisfaction of varied needs and high efficiency of marketing activity. This study was used 183 questionnaires (20∼30 generation housewife in Seoul) for statistical analysis. This study was used factor analysis and cluster analysis to group same respondents and frequency analysis, x2_analysis, ANOVA, duncan-test to analyze characteristics of demographics, clothing purchase pattern for each segmented group. The respondents were divided into 4 groups of differnt housewife's fashion life-style matte tons according to the results of analysis. The findings of the research on each groups are summarized as follows: 1) Subdividing market was classified such as a fashion-seeking/shoping-oriented group, personality-seeking group, practical/planning group, traditional conservative group. 2) According to characteristics of demographics in Subdividing market, there were significant difference in their school career, family monthly income, existence of job. 3) According to clothing purchase pattern in Subdividing market, there were significant difference in housewife's fashion life-style. But there were only partly significant difference in characteristics of demographics. In this study, housewife's fashion life-style segmentation in infant's wear market has purpose that marketing managers are given these infornations and various wants of consumers can be satisfied.

• 대한의생명과학회지
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• 제17권1호
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• pp.69-77
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• 2011

In this study, we evaluated the protective effects of supercritical extracts and two step ethanol extracts after supercritical extraction from Schizandra chinensis on antioxidant activities and oxidative DNA and cell damages. Supercritical extracts removed DPPH (1,1-diphenyl-2-picryldrazyl) radical by 85.5% at 200 ${\mu}g$/ml, but showed low activities of scavenging and chelating the hydroxyl radical and ferrous iron. However, two step ethanol extracts showed low activities of scavenging the DPPH radical, but removed the hydroxyl radical by 86% at 200 ${\mu}g$/ml. In addition, we tested the activities of extracts for reducing hydroxyl radical-induced DNA and cell damage. Two step ethanol extracts showed protective effect against the oxidative DNA damage by reducing DNA segmentation, inhibiting DNA migration and decreasing the expression of phospho-H2AX. Also, two step ethanol extracts showed protective effect against the oxidative cell damage by inhibiting lipid peroxidation and increasing the expression of p21 protein. Taken together, we suggest that two step ethanol extracts from S. chinensis have a role as useful inhibitors against oxidative damages.

• 복식문화연구
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• 제22권6호
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• pp.899-910
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• 2014

The purpose of this study was to analyze high school students' school uniform wearing attitude by group according to clothing attitude targeting Gyeongnam area. This study aims to provide preliminary data in the field of school uniform and marketing that clothing propensity by groups is considered. This study conducted a survey targeting 762 high school students in Gyeongnam. For statistical analysis, SPSS for Window 14.0 was used for frequency analysis, factor analysis, reliability analysis, multiple sponse analysis, cluster analysis, ANOVA analysis and Duncan's ex-post analysis method. As a result of cluster analysis on the clothing attitude, students were divided into 4 segmentation of fashion seeking group, fashion indifference group, conformity group and modesty group. As a result of verification on the difference in perception toward wearing school uniform by groups which were classified according to the propensity of clothing attitude, activity, stability, and practicality were all varied according to the propensity of clothing attitude. 4 groups were significant differences in the degree of consent to wearing school uniform, price of school uniforms, tendency to prefer famous brand when purchasing school uniform, experience of transforming school uniform, opinion about school uniform modification and reason for school uniform modification. While low graders were many in 'modesty group', upper graders were many in 'fashion seeking group', which means that more segmentalized satisfaction of clothing by group may be raised if such a fact is considered when planning clothing for high school students segmentalized by age.