• Journal of Family Resource Management and Policy Review
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• v.6 no.2
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• pp.31-52
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• 2002

This study classified consumers' behaviors of purchasing gifts, divided groups by the types of similar behaviors, and examined impacts of demographic variables, relevant variables in purchasing processes on those behaviors. Findings of this study can be summarized as follows. First, factors explaining consumers' behaviors of purchasing gifts were the tendency of demonstrative purchase, the level of placing values to the meaning of gifts, the level of altruism and rationality in the purchase of gifts, and the tendency of impulsive purchase. On the basis of these five factors, five distinct consumer groups showing similar behaviors of purchasing gifts based on the results of Cluster analysis were identified. Those groups were impulsiveㆍdemonstrative groups, impulsiveㆍnon-sincere groups, indifferent groups, non-impulsiveㆍdemonstrative groups, non-altruistic'ㆍrational groups, sincere groups, and altruisticㆍrational groups. Second, behaviors of purchasing gifts showed significant differences depending on gender, educational levels, occupational types, and women's employment status. Consumers with high education, professional occupation, high income tended to show the demonstrative purchase. Male consumers were not interested in the purchases of gifts and placed high values on the meanings of gifts. In contrast, female consumers showed rational behavior, but revealed the tendency of demonstrative in the purchase of gifts as well. Finally, behaviors of purchasing gifts were also different depending on the method of gathering consumer information, places of purchasing gifts, experiences of ordering paid wrapping gifts and the relevant costs, consumers' evaluations of the purchases of gifts, and degrees of satisfaction after the purchase of gifts. Impulsive'ㆍdemonstrative groups and non-impulsive'ㆍ demonstrative groups preferred departments as places of purchasing gifts and choose ordering paid wrapping gifts but showed dissatisfactions after purchases of gifts. Consumers who belongs to non-altruistic'ㆍrational groups, sincere groups, and altruistic'ㆍ rational groups tended to prefer local stores in their own villages as places of purchasing gifts and did not order paid wrapping gifts while showing high after the purchase of gifts.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.10
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• pp.5861-5865
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• 2013

We investigated the distribution of HPV genotypes in Uyghur women in Xinjiang region of China, and behavioral factors which could predispose them to HPV infection. In this cross-sectional study, women aged 15-59 years were recruited by cluster sampling method in Yutian region in 2009. Liquid-based cytology samples were analyzed centrally for HPV genotype with a linear array detector. Univariate and multivariate logistic regression analyses were performed to identify behavioral risk factors for HPV infection. A total of 883 Uyghur women were recruited successfully. The prevalence of high-risk HPV and low-risk HPV were 7.25% and 1.58%, respectively; the most common HPVs were HPV16, 51, 31, 39 and 58. We found that age of first sexual intercourse was a strong predictor for HPV infection (odds ratio of 4.01 for ${\leq}15$ years versus ${\geq}25$). Having sexual partners ${\geq}3$ was the second predictor (OR 3.69, 95% CI 2.24-7.16). Cleaning the vagina after sex showed an increased risk of HPV infection (OR 2.72; 95% CI 1.98-5.13); Using the condom showed protective factors for HPV infection (OR 0.36; 95%CI0.12-0.53). HPV16, 51, 31, 39 and 58 were the priority types; the age of first sexual intercourse was identified as a major risk factor for HPV infection. Other notable risks were number of sexual partners and cleaning the vagina after sex. Changing these behavioral risk factors could help to reduce the occurrence of cervical cancer in this population.

• Fashion & Textile Research Journal
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• v.7 no.3
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• pp.291-300
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• 2005

The purpose of this study is to investigate, analyze the purchasing behavior of fashion goods according to life style and role model of preteen generation, and provide manager or marketing planner for the reference data so that they can understand preteen generation and make proper strategy efficiently. So called, preteen market focusing on 1014 generation (from ten to fourteen years old) is highlighted. This generation created between the year 1989 to 1993 after Seoul Olympic monopolize parent's love in abundant economic environment and rise to the core of consumption subject. Products aiming at this preteen generation continuously though consumption mind was shrunk greatly due to recession. Only 2~3 years before preteen market was regarded as grey zone which doesn't belong to not only children (between six and nine years old) but also teenagers (between fifteen to eighteen years old). But in recent day their purchasing powers have increased rapidly and age group is divided on details, so that preteen market has become a niche market. Subjects were 333 persons consisting of students in the 4th~6th grade of primary school and the 1st~2nd grade of middle school in Daegu city. Measuring instruments are as follows: 5questions to differentiate preteen generation, 22 questions to measure life style, 17questions (which have six sub-factors such as purchase motive, factor of product selection, utilization of informant, purchase time, purchase place, and purchase method) to measure the purchase behavior of fashion goods measurement, and 16 questions (which have four sub-factors such as parent, entertainer & sports stars, brothers and sisters, friends) to measure model of role. Statistical data were processed by SPSS 10.0 programs. Frequencies, Factor analysis, Cluster analysis, ANOVA, Cross analysis, Multiplex regression analysis, and Duncan's multiple range test were carried out.

• The Journal of the Korea Contents Association
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• v.11 no.10
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• pp.425-433
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• 2011

The purpose of this study was to investigate the relationships between leisure competence, leisure flow, and leisure satisfaction of university students participating in leisure activity. The subjects were selected by stratified cluster random sampling method. They were composed of 308 students who had been leisure activity participating in university students. The Leisure competence(Ahn, 2005), Leisure flow(Lee, 2006), Leisure satisfaction(Ahn, 2009) were used for collecting data. In consequence of exploratory factor analysis, 3sub-factors(leisure competence), 5sub-factors(leisure flow), and 5sub-factor(leisure satisfaction were found. Cronbach's ${\alpha}$ coefficient were .726~.850, .537~.887, .764~.943 respectively. For the statistical analysis, SPSS 15.0 and AMOS 7.0 were utilized. The relationship between research variables were examined by the frequency, explore factor, reliability, corelation, structural equation modeling analysis. The significance level of all test was p<.05. The findings were as follows: First, leisure competence did have a positive influence on leisure flow. Second, leisure competence didn't have influence on leisure satisfaction. Final, leisure flow did have positive influence on leisure satisfactions.

• Atmosphere
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• v.19 no.2
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• pp.169-182
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• 2009

To improve the performance of climate and numerical models, concerns on the land-atmosphere schemes are steadily increased in recent years. For the realistic calculation of land-atmosphere interaction, a land surface information of high quality is strongly required. In this study, a new land cover map over the Korean peninsula was developed using MODIS (MODerate resolution Imaging Spectroradiometer) data. The seven phenological data set (maximum, minimum, amplitude, average, growing period, growing and shedding rate) derived from 15-day normalized difference vegetation index (NDVI) were used as a basic input data. The ISOData (Iterative Self-Organizing Data Analysis), a kind of unsupervised non-hierarchical clustering method, was applied to the seven phenological data set. After the clustering, assignment of land cover type to the each cluster was performed according to the phenological characteristics of each land cover defined by USGS (US. Geological Survey). Most of the Korean peninsula are occupied by deciduous broadleaf forest (46.5%), mixed forest (15.6%), and dryland crop (13%). Whereas, the dominant land cover types are very diverse in South-Korea: evergreen needleleaf forest (29.9%), mixed forest (26.6%), deciduous broadleaf forest (16.2%), irrigated crop (12.6%), and dryland crop (10.7%). The 38 in-situ observation data-base over South-Korea, Environment Geographic Information System and Google-earth are used in the validation of the new land cover map. In general, the new land cover map over the Korean peninsula seems to be better classified compared to the USGS land cover map, especially for the Savanna in the USGS land cover map.

• Ocean and Polar Research
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• v.34 no.2
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• pp.111-123
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• 2012

To understand the phytoplankton community in the eastern part of the Yellow Sea (EYS), in the summer, field survey was conducted at 25 stations in June 2009, and water samples were analyzed using a epifluorescence microscopy, flow cytometry and HPLC method. The EYS could be divided into four areas by a cluster analysis, using phytoplankton group abundances: coastal mixing area, Anma-do area, transition water, and the central Yellow Sea. In the coastal mixing area, water column was well mixed vertically, and phytoplankton was dominated by diatoms, chrysophytes, dinoflagellates and nanoflagellates, showing high abundance ($>10^5\;cells\;l^{-1}$). In Anma-do coastal waters characterized by high dominance of dinoflagellates, high phytoplankton abundance and biomass separated from other coastal mixing area. The southeastern upwelling area was expanded from Jin-do to Heuksan-do, by a tidal mixing and coastal upwelling in the southern area of Manjae-do, and phytoplankton was dominated by benthic diatoms, nanoflagellates and Synechococcus group in this area. Phytoplankton abundance and biomass dominated by pico- and nanophytoplankton were low values in the transition waters and the central Yellow Sea. In the surface of the central Yellow Sea, high dominance of photosynthetic pigments, 19'-hexanoyloxyfucoxanthin and zeaxanthin implies that haptophytes and cyanobacteria could be the dominant group during the summer. These results indicate that the phytoplankton communities in the EYS were significantly affected by the formation of tidal front, thermal stratification, and coastal upwelling showing the differences of physical and chemical characteristics during the summer.

• Journal of Korean Society of Forest Science
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• v.88 no.2
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• pp.133-141
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• 1999

The purposes of this study were to evaluate the present management policy of recreation forest under competitive environment with similar types of recreation areas like national parks and to suggest the effective management strategies, using a multidimensional scaling technique. Data were collected from 1200 residents of Seoul, Pusan, Taegu, Kwangju, and Taejon sampled by two stage cluster sampling method. There were some different perceptions between Seoul residents and the others, but most of the respondents perceived recreation forests as uncrowded natural areas with reasonable use fees. The results suggested the need for developing effective marketing strategies to have distinguishing images from national parks that have competitive.

• The Journal of the Acoustical Society of Korea
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• v.35 no.4
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• pp.303-309
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• 2016

This paper proposes a novel approach to the problem of audio signal clustering using a stacked autoencoder. The proposed stacked autoencoder learns an efficient representation for the input signal, enables clustering constituent signals with similar characteristics, and therefore the original sources can be separated based on the clustering results. STFT (Short-Time Fourier Transform) is performed to extract time-frequency spectrum, and rectangular windows at all the possible locations are used as input values to the autoencoder. The outputs at the middle, encoding layer, are used to cluster the rectangular windows and the original sources are separated by the Wiener filters derived from the clustering results. Source separation experiments were carried out in comparison to the conventional NMF (Non-negative Matrix Factorization), and the estimated sources by the proposed method well represent the characteristics of the orignal sources as shown in the time-frequency representation.

• Journal of Korean Academy of Nursing Administration
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• v.11 no.4
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• pp.401-414
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• 2005

Purpose: This study was to evaluate the utilization of health care service and to provide supportive data for health care policy making in one urban area in Korea. Method: This study tested the significance of public health service using the database of an university hospital and public health center from Feb. 2000 to Dec. 2004. Data were analyzed by multidimensional analysis and data mining technique and produced the information on the classification of utilization characteristics by main disease and the total cost of use and disease association with the users of the public health center. Results: The Results were as follows: 1) Top 10 diseases in the area accounted for 22.4% of total frequency for the most recent 5 years in university hospital, while 59.0% in public health center. 2) There were significant correlations between university hospital and public health center user's insurance type and place of residence: It showed higher use of public health center for free service beneficiaries residing in Seoul than residents in nearby or local area. The medical insurance types for hospital users were more various than those for public health center users. 3) The use of hospital for patients of hypertension, diabetes mellitus and hyperlipidemia was tended to concentrate in mostly autumn and winter since August 2000, while the cost of using public health center for those patients has been steadily reduced since July 2000. 4) As a result of cluster analysis, there were classified into three homogeneous groups according to the total cost of using public health service, age, and the frequency of use. 5) The association analysis on patients with chronic disease in public health center produced a detailed information on accompanying diseases related to the incidence rate of disease of high frequency due to aging, information on drug abuse and immune disease. Conclusion: The health care policy for local community should be evaluated continuously. And the policy to build an integrated data warehousing by public health indicator system and to enhance the faithfulness of data is required.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.328-331
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• 2007

In this paper, the capacity of the clustered response model for correlated MIMO-OFDM fading channel is investigated. We compare the capacities achieved by correlation at receiver and achieved by correlation at both the transmitter and the receiver for the case where the channel is known and unknown at the transmitter are considered. It is found that the capacity achieved by correlation at receiver is better than the other. It is also shown that the capacity using the water-filling methed is larger than that using the uniform power allocation due to the water-filling gain. But it is negligible when the number of clusters is over the maximum rank of the sum correlation matrix and SNR is high.