• 패션비즈니스
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• 제20권5호
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• pp.30-44
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• 2016

In this study, we used the Q methodology, which is considered an effective way to identify and assess the characterization of the human subjective consciousness, and we intended to carry out a scientific approach to classify cosmetics consumers in a department store. The purpose of this study is to identify the dimension of recognition and the characterization of Korean women who use a department store, as well as to classify cosmetics consumers in a department store. The analyzed data was divided into the top 10 questions and 10 sub-items, and it was then classified into six consumer types, depending on typicality of three factors. The three factors were 'effectiveness', 'goal' and 'congestion of shopping'. We named and analyzed the features of each type through in-depth Q workshops in which 22 professionals participated. This study is meaningful as it used the Q-methodology instead of statistics which had been used before to classify the consumers, so that the 'subjective' estimation was analyzed into 'objective' types. The results of this study are expected to be useful for creating a marketing strategy for the cosmetics industry.

• 충청수학회지
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• 제19권4호
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• pp.437-443
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• 2006

We study free actions of finite groups on the 3-dimensional nilmanifold for Type 1 and classify all such group actions, up to topological conjugacy. This work supplies missing one in [1, Theorem 3.11.].

• 한국산림과학회지
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• 제103권1호
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• pp.12-22
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• 2014

본 연구는 백두대간 남부권역의 황악산, 박석산, 덕유산, 지리산 등 네 지역을 대상으로 복잡 다양한 천연림 군집을 분류하고 산림피복유형을 집약하였다. 점표본법을 이용하여 851개의 표본점에서 식생자료를 수집하였다. 조사된 식생자료를 대상으로 Cluster 분석을 실시하여 총 18개 군집으로 분류하였으며, 분류된 군집의 상층 수종 구성의 유사성을 바탕으로 중생혼합림형, 기타활엽수림형, 굴참나무-졸참나무림형, 신갈나무림형, 소나무림형, 서어나무림형, 구상나무림형 등 총 7개의 산림피복유형으로 집약하였다. 연구 대상지에서 신갈나무림형이 가장 넓게 분포하였고, 위도가 낮아질수록 신갈나무림형이 분포하는 평균해발고는 높아졌다. 중생혼합림형과 기타활엽수림형은 계곡에 많이 분포하였고, 신갈나무림형과 소나무림형은 능선 부위에 많이 분포하는 경향이 있었다.

• 한국의류학회지
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• 제23권8호
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• pp.1240-1247
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• 1999

The purpose of this study was to classify size specifications of Korean adult male for the men's ready-made garments especially jacket and dress shirts By the stratified sampling method data were collected by the real anthropometric measurement. Sample size was 263 subjects as the sample and their age range was from 36 to 43 years old 66 variables from the direct anthropometric data were applied to analyze. ANOVA is SPSSWIN 8.0 package was applied to the data and the expected frequency distribution of 10.000 men was calculated by the extraction of density function. This study was performed to classify size specificatios by the control dimensions. The drop values of 9,12 and 6 have the high coverage rate of 28.52% 23.44% respectively Obese body type ; H type HD type and HE type are composed of the majority of 55.47% of the subjects. According to the drop values size specifications and distribution of control dimensions are predicted About 69.82% of the expected frequency distribution were covered by 19 size specifications.

• 제어로봇시스템학회논문지
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• 제22권4호
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• pp.253-265
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• 2016

We propose an obstacle classification method using multi-decision factors and decision sections based on Single 2D LiDAR. The existing obstacle classification method based on single 2D LiDAR has two specific advantages: accuracy and decreased calculation time. However, it was difficult to classify obstacle type, and therefore accurate path planning was not possible. To overcome this problem, a method of classifying obstacle type based on width data was proposed. However, width data was not sufficient to enable accurate obstacle classification. The proposed algorithm of this paper involves the comparison between decision factor and decision section to classify obstacle type. Decision factor and decision section was determined using width, standard deviation of distance, average normalized intensity, and standard deviation of normalized intensity data. Experiments using a real autonomous vehicle in a real environment showed that calculation time decreased in comparison with 2D LiDAR-based method, thus demonstrating the possibility of obstacle type classification using single 2D LiDAR.

• 한국의류학회지
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• 제17권4호
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• pp.602-607
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• 1993

Concept of the comfort and fitness becomes a major concern in the basic function of the ready-made clothes. This research was performed to classify and characterize Korean adult males anthropometrically. Sample size was 1290 subjects and their age range was from 19 to 54 years old. Sampling was carried out by the stratified sampling method. 75 variables in total were applied to classify the bodytypes. Data were analyzed by the multivariate method, especially factor and cluster analysis. The high factor loading items extracted by factor analysis were based to determine the variables of the cluster analysis for the similar bodytypes respectively. In the part of the lower body, 14 variables from the data were applied to classify the bodytypes of lower part by Ward's minimum variance method. The group fanning a cluster were subdivided into 5 sets by cross-tabulation extracted by the hierarchical cluster analysis. Type 3 and 4 in lower body were composed of the majority of 53.1% of the subjects. The Korean adult males had relatively well-balanced in lower body.

• 한국통신학회논문지
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• 제21권4호
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• pp.1019-1026
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• 1996

이제까지 변조 분류에 대한 연구는 가산성 백색 가우시안 잡음에서만 해석되어 연구되어 왔다. 이 논문에서는 Rayleigh 페이딩 채널에서 통계적 모멘트에 근거한 BPSK와 QPSK 신호의 디지틀 변조 분류기를 제시하고 성능을 분석한다. 백색 가우시안 잡음과 Rayleigh 페이딩이 존재하는 환경에서 복조된 신호의 샘플 모멘트를 계산한다. 계산된 모멘트 값을 바탕으로 중심 극한 정리를 이용하여 샘플 모멘트의 평균과 분산을 계산한다. 이로부터 샘플 모멘트의 확률 밀도 함수를 구하고 베이즈 검정을 적용하여 통계적 모멘트에 기초한 BPSK와 QPSK 신호의 디지틀 변조 분류기를 제시하고 오분류 확률을 유도하여 성능을 분석한다.

• 한국정보처리학회논문지
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• 제6권10호
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• pp.2618-2629
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• 1999

In this paper, we describe the design and implementation of the FDRA(Fault Detection Recovery based on Agent) running on distributed multimedia environment. DOORAE is a good example for distributed multimedia and multimedia distance education system among students and teachers during lecture. It has primitive service agents. Service functions are implemented with objected oriented concept. FDRA is a multi-agent system. It has been environment, intelligent agents interact with each other, either collaboratively or non-collaboratively, to achieve their goals. The main idea is to detect an error by using polling method. This system detects an error by polling periodically the process with relation to session. And, it is to classify the type of error s automatically by using learning rules. The merit of this system is to use the same method to recovery it as it creates a session. FDRA is a system that is able to detect an error, to classify an error type, and to recover automatically a software error based on distributed multimedia environment.

• 현장농수산연구지
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• 제26권1호
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• pp.30-39
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• 2024

Korean arboretums where a large number of people are visiting could not do visitor's satisfaction in qualitative side and communication through education and event, although a lot of those things statistically have been doing so far. At this side, it needs an arboretum's segmentation: preparing to an adaptation strategy of a new paradigm, differentiated strategy, and problem solving strategy tied by a similar group for the Korean arboretum visitors. This research tries to classify several patterns with Korean arboretums by visitor's behavior and propose each type of subspecialized management plan after analyzing characteristic of supply and demand. The research for this tries to classify several patterns of Korean arboretum and suggest segmentalzed management plan by types after analyzing characteristics of aspects of demand and supply. By looking at the main patterning result of arboretum as a standard of the demand, there were four sorts of arboretums. In the first, it is the arboretum of intermediate type: not a clear characteristic. In the second, it is an arboretum of multipurpose resort type: strongly demanding motivational factors of a rest, health, access, low cost, experience, learning and sightseeing. In the third, it is an arboretum of theme tour type: a strong sightseeing motivational factor and demanding appreciate scenery. In the last, it is an arboretum of studying and admiring type: demanding a motivational factor of sightseeing landscape and plants, a strong experience and learning.

• 한국의상디자인학회지
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• 제9권1호
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• pp.161-171
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• 2007

The purpose of this study was to classify the lower body of the lost women and to investigate the three-dimensional characteristics of each lower body somatotype of them. The subject were ninety seven women whose. age were twenties and whose height and bust girth were in the range of mean$\pm1\delta$ of typical body size of twenties' Korean women. The forty one variables of their lower body were measured by Martin's Anthropometric Instrument. And they were analyzed for mean, standard deviations factor analysis, and cluster analysis. In the second phase of analysis, the three participants were re-selected in each type were measured by Sliding Guage and analyzed their lower body somatotype. The results were as follows; The components of lower body of 20s' women were extracted with 7 factors through factor analysis and orthogonal rotation by the method of Varimax. The rate of the cumulative contribution was 84.1% the first factor was the thickness of lower body, the second factor was the vertical size of lower body the third factor was the front shape of hip, the forth factor was the vertical size of hip, the fifth factor was the shape of abdomen, the six factor was the flat-ratio of waist and the seventh factor was flat-ratio of hip. The somatotype of 20's women's lower body can be classified into 3 types. Type 1 is the standard somatotype of 20's women's lower body and the 34.0% of the participants in the study was categorized into type 1. Type 2 is a short and corpulency type with protruded abdomen and hip and the 29.9% of the participants in the study was categorized into type 2. And the type 3 is a tall and thin type with plat abdomen and hip and the 37.1% of the participants was categorized into type 3.