• Journal of the Korea Convergence Society
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• v.10 no.9
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• pp.11-16
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• 2019

People are subject to time sanctions in a busy modern society. Therefore, people find it difficult to eat simple junk food and even exercise, which is bad for their health. As a result, the incidence of chronic diseases is increasing. Also, the importance of making accurate and appropriate inferences to individual characteristics is growing due to unnecessary information overload phenomenon. In this paper, we propose a knowledge reasoning model using association rules and cluster analysis of multi-contexts. The proposed method provides a personalized healthcare to users by generating association rules based on the clusters based on multi-context information. This can reduce the incidence of each disease by inferring the risk for each disease. In addition, the model proposed by the performance assessment shows that the F-measure value is 0.027 higher than the comparison model, and is highly regarded than the comparison model.

• The Bulletin of The Korean Astronomical Society
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• v.44 no.1
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• pp.39.2-39.2
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• 2019

Galaxy clusters are the largest gravitationally bound structures in the universe and located in the densest peak of the dark matter. They can constraint cosmologicals model from their dark matter halo distribution and they are good laboratories to study how galaxy evolution varies with their environment. Especially, studies of galaxy clusters at $z{\geq}1$ are important because (i) galaxy evolution at z >1 is still controversial (Elbaz et al. 2007; Faloon et al. 2013) and (ii) some studies show that mass of galaxy clusters at z>1 seems to be higher than expected value from the concordance LCDM cosmological model (Kang & Im 2009; Gonzales et al. 2012). In spite of their significance, there have not been many studies of galaxy clusters at $z{\geq}1$ because of the lack of wide and deep multi-wavelength data. We newly found galaxy cluster candidates at 0.2 < z < 1.4 and a LSS spanning over 100Mpc at z~0.9 in the ELAIS-N1 field which is one of the IMS (Infrared Medium-deep Survey; Im et al. 2019, in preparation) fields. Thanks to K-GMT science program, we performed spectroscopic follow-up observation for a z~1 galaxy cluster candidates with GMOS of Gemini North and for z~0.9 supercluster candidates with Hectospec of MMT in 2018A and confirmed the large scale structures. We present the newly discovered galaxy overdensities from the observation and the analysis result.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.32 no.4
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• pp.129-136
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• 2021

Objectives: To investigate the relationship between brain structure and empathy in early adolescents with attention-deficit/hyperactivity disorder (ADHD). Methods: Nineteen early adolescents with ADHD and 20 healthy controls underwent 3T MRI. All the participants were assessed for different aspects of empathy using measures including the Interpersonal Reactivity Index and Empathy Quotient. Cortical thickness and subcortical structural volume based on T1-weighted scans were analyzed using FreeSurfer. Results: Cognitive empathy (t=-2.52, p=0.016) and perspective taking (t=-2.10, p=0.043) were impaired in the ADHD group compared with the control group. The cluster encompassing the left posterior insular, supramarginal, and transverse temporal cortices [cluster-wise p-value (CWP)=0.001], which are associated with emotional empathy, was significantly smaller in the ADHD group, and the volume of the left nucleus accumbens was greater than that of the control group (F=10.12, p=0.003, effect size=0.22). In the control group, the left superior temporal (CWP=0.002) and lingual cortical (CWP=0.035) thicknesses were positively associated with cognitive empathy, while the right amygdala volume was positively associated with empathic concern (Coef=14.26, t=3.92, p=0.001). However, there was no significant correlation between empathy and brain structure in the ADHD group. Conclusion: The ADHD group had a smaller volume of the cortical area associated with emotional empathy than the control group, and there was no brain region showing significant correlation with empathy, unlike in the control group.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.42 no.2
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• pp.202-213
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• 1997

In order to find out a high potential black soybean lines, of which demand has been increasing in Korea, twenty eight local cultivars were evaluated on agronomic characteristics and the classification of the cultivars was made by the cluster analysis. Days to maturity and days to growing of black soybeans were widely ranged from 58 to 82 days, and 117 to 148 days, respectively. Late maturing group showed over 140 maturity days, and heavy 100 seed weight. There was shown low yield potential in late maturing group, and growing days was positively correlated with flowering days, days to maturity, 100-seed weight and stem length, respectively. From the principal component analysis upper two components composed 76.5％ cumulative eigen value to total. Nine varietal groups were identified in relations to their affinity of the black soybeans. Selected black soybeans, Namhae-2 and Hamyang-l were field-tested and those characteristics of many pod, small seed and high yield were found out to be suitable for sprouting.

• Journal of Fashion Business
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• v.26 no.1
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• pp.30-40
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• 2022

This study aims to provide basic information on the changes in lower body measurements and shapes of women in their 20s for developing better fitting slacks patterns and a more applicable sizing system that can be widely utilized for women of all ages. Factor and cluster analysis were performed on 1,360 women's direct measurement data within the age group from the 5^th (2004) and 7^th (2015) Korean Human Body Measurement Investigation. The factor analysis identified four factors and explained 82.54% of the total variance; Factor 1, horizontal measurements of lower body; Factor 2, vertical lengths of lower body; Factor 3, measurements of leg and hip areas; Factor 4, lengths of hip and crotch areas. The cluster analysis categorized the lower body shapes of each age group into four shapes; Shape 1, a petite lower body with short legs; Shape 2, a long lower body with medium built; Shape 3, an obese abdomen and legs; Shape 4, a short and slim lower body. Shape 4 (36.5%), Shape 2 (31.2%), Shape 1 (27.8%), and Shape 3 (4.5%) were placed in the order of frequency from the highest to lowest among all the age groups. The findings of this study showed gradual changes in the lower body measurements and shapes of women in their 20s and relevant physical features of each age group. They can be utilized for developing women's slacks patterns with better fitting and more comfort.

• Journal of Advanced Navigation Technology
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• v.27 no.6
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• pp.888-896
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• 2023

When an aircraft is landing, it is expected that the aircraft will follow a specified approach procedure and then land at the airport. However, depending on the airport situation, neighbouring aircraft or the instructions of the air traffic controller, there can be a deviation from the specified approach. Detecting aircraft approach patterns is necessary for traffic flow and flight safety, and this paper suggests clustering techniques to identify aircraft patterns in the approach segment. The Gaussian Mixture Model (GMM), one of the machine learning techniques, is used to cluster the trajectories of aircraft, and ADS-B data from aircraft landing at the Gimhae airport in 2019 are used. The aircraft trajectories are clustered on the plane, and a total of 86 approach trajectory patterns are extracted using the centroid value of each cluster. Considering the correlation between the approach procedure pattern and overshoots, the distribution of overshoots is calculated.

• Journal of the Korean Society of Clothing and Textiles
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• v.38 no.6
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• pp.887-895
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• 2014

The study provides baseline data on developing ready-to-wear clothes for adult females in their twenties who have finished shaping their bodies and have realized an ideal shape. We analyzed the data from females aged from 20 to 29 in "The $5^{th}$ Size Korea Survey" and "The $6^{th}$ Size Korea Survey", and sorted body shapes into several types according to drop values before analyzing and comparing the characteristics among groups. We also referred to the change by year in the size of upper inner wear. To classify body shapes, three drop values were assigned for bust girth - waist girth, hip girth - waist girth, hip girth - bust girth; through cluster analysis all data were classified into three body types. Type 1 is more like normal body shapes with small drop values at the bust girth - waist girth and well-build lower body. Type 2 is X-shaped body shaped like a fiddle with big drop values at all parts. Type 3 is Y-shaped body with a big drop value at the bust girth - waist girth and well-build upper body. Type 2, X-shaped body, has the majority of distribution in every year, which proved to be the most idealistic body shape. There was a change in the brassiere cup size. Korean ladies in their twenties have larger breasts. The body shapes of Korean females in their twenties are increasingly like those of westerners. Bust girth is a very critical element to set measurements and design patterns for upper wear; consequently, a change in the size of breasts should be considered.

• Journal of Animal Science and Technology
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• v.47 no.3
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• pp.355-362
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• 2005

This study was carried out to obtain basic information on variety selection for the utilization of whole crop rices(WCR) at National Institute of Crop Science, RDA, in 2004. Fifteen varieties and elite line were evaluated on feed value such as dry matter yield(DMY), crude protein( CP), acid detergent fiber(ADF), neutral detergent fiber(NDF) and total digestible nutrients(TDN). The dry matter yields were ranged from 13.23 to 17.83 ton per ha, the highest yielding varieties were Sobibyeo(l6.98ton / ha) in Japonica type, SR22060 (17.83 ton / ha) in New plant type, Hangangchalbyeo(I7.66 ton / ha) in Tongil type. Suweon 468 showed the highest value in the RFV and TDN content among the varieties, and Suweon 468, Suweon 498, Suweon 490 and SR22058 were chosen to have the high feed values through cluster analysis. The dry weight(grain) was found to be positively related with percent of the ripened grain, 1,000 grain weight and CPo TDN content was found to be positively related with CP, but negatively related with NDF and ADF. RFV was found to be negatively related with plant height, NDF and ADF. The promising rice varieties for WCR were Suweon 468, Suweon 498, Suweon 490 and SR22058 on the basis of CP, TDN and DMY.

• Health Policy and Management
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• v.20 no.2
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• pp.40-52
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• 2010

Health insurance fees are set by relative value scales and conversion factors. Since 2008 the conversion factor has been classified into 7 according to the provider type, and a separate contract has been made respectively. As such classification of the conversion factor reflects only the different characteristics of providers, however, further classification to reflect the different cost structures of providers is proposed. Cost varies according to the type of not only providers but also services each provider supply. In fact different cost structures of providers are the result of their different services. This study analyzed the cost structure of medical services to propose a new approach to the classification of the conversion factor. This study analyzed the cost structure of medical services using cost data constructed in the revision study of relative value scales. The cost data consist of doctor's fee, support staff's fee, cost of medical equipments, cost of medical supplies and indirect cost. The proportion of each cost component to the total cost was analyzed in terms of service department and service type. 72 service groups are defined in terms of the combination of service department and service type. Through cluster analysis, 72 service groups were reduced into 7 clusters each of which has a similar cost structure. Conversion factor is contracted annually to reflect the change in the cost of providing medical services. So the classification of conversion factor has to be based on the cost structures of medical services, not the characteristics of providers. Service clusters derived in this study can be used as a new classification for health insurance fee contract.

• Journal of Fashion Business
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• v.9 no.4
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• pp.113-126
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• 2005

The purposes of this study were to classify purchaser into three groups by purchasing price for preschool children's wear and to identify the differences of clothing values, lifestyles, considerations in purchasing preschool children's wears, and purchasing places among the classified three groups. One hundred forty people living in Seoul with children aging between 3 and 7 were surveyed for this study. Cluster analysis, frequency analysis, chi-square analysis, ANOVA, and scheffe test were used to analyze the data. The findings of this study were as follows; 1) Purchaser were classified into three groups, namely the group of high purchasing price(HP), the group of medium purchasing price(MP), and the low purchasing price(LP). The HP had more monthly average income than the LP. 2) The HP showed high concerns in aesthetic and social clothing values, the MP considered social clothing value more important, while the LP showed high concern in economic clothing value. 3) Regarding the differences in lifestyles, the HP was more fashion-oriented and leisure-oriented, the MP was fashion-oriented, while the LP was economy-oriented. 4) When purchasing preschool children's wear, the HP showed high concerns in design and brand, the MP in activity, laundry-and-care, and brand, and the LP in activity, laundry-and-care, and price. The HP mainly purchased preschool children's wears in department store and imported goods store, the MP in department store, traditional market, and discount store, and the LP in discount store.