• Journal of Forest and Environmental Science
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• v.31 no.2
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• pp.126-135
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• 2015

This study was conducted to evaluate the ecological characteristics of forest cover types which were classified by cluster analysis in the natural forest of Sobaeksan on the basis of the vegetation data from the point-quarter sampling method. Recognized forest cover types were 1) Mixed mesophytic forest, 2) Taxus cuspidata forest, 3) Fraxinus rhynchophylla-Quercus mongolica forest, 4) Betula ermanii forest, 5) Pinus densiflora forest, 6) Quercus mongolica mixed forest, and 7) Quercus mongolica pure forest. For those of classified types, the species composition was expressed by importance value (IV) to describe the community floristically. The species diversity was quantified using the Shannon's diversity index. The results showed that the forest cover types were characteristically different from one another in growing species and compositional rates, depending upon the type which was formed by a number of similar vegetational sample points. Species diversity indices (H') of total and overstory both were the highest in the mixed mesophytic forest (3.530 and 2.880, respectively), and lowest in the Q. mongolica pure forest (2.122 and 0.000, respectively) with only one canopy species. The highest species diversity in the mixed mesophytic forest may due to the relatively high species richness and evenness in the forest cover types. The description on ecological characteristics were suggested to understand the formation and development of forest cover types in this study area.

• Proceedings of the IEEK Conference
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• 2000.07a
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• pp.450-453
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• 2000

In this paper, an automated segmentation algorithm is proposed for MR brain images using T1-weighted, T2-weighted, and PD images complementarily. The proposed segmentation algorithm is composed of 3 steps. In the first step, cerebrum images are extracted by putting a cerebrum mask upon the three input images. In the second step, outstanding clusters that represent inner tissues of the cerebrum are chosen among 3-dimensional (3D) clusters. 3D clusters are determined by intersecting densely distributed parts of 2D histogram in the 3D space formed with three optimal scale images. Optimal scale image best describes the shape of densely distributed parts of pixels in 2D histogram. In the final step, cerebrum images are segmented using FCM algorithm with it’s initial centroid value as the outstanding cluster’s centroid value. The proposed segmentation algorithm complements the defect of FCM algorithm, being influenced upon initial centroid, by calculating cluster’s centroid accurately And also can get better segmentation results from the proposed segmentation algorithm with multi spectral analysis than the results of single spectral analysis.

• Journal of the Korean Society of Food Culture
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• v.34 no.3
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• pp.277-283
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• 2019

This study explore the market segmentation based on beer consumers' purchase motivation 1) to analyze beer consumers and markets more closely and 2) to demonstrate the characteristics of each market segment and contribute to marketing strategies with beer consumer segment. Using -administrated questionnaires asked questions recognizable beer purchase within 6 months by over 20-years-olds, this study 201 surveys online 22 days. The results as follows: beer consumers' purchase motivation consisted of three factors enhancement, social orientation, and value enhancement. Cluster analysis based on beer purchase showed that there were three groups motivation multi-motivation and motivation group based on average value of beer purchase motive factors and relative load per factor. demographic,beer drinking characteristics and group difference according to cluster gender and monthly average income, and beer drinking characteristics also significantly different by preferred beer, preferred beer type, occasion and drinking place.

• Korean Journal of Human Ecology
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• v.17 no.4
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• pp.759-769
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• 2008

The purpose of this study was to classify consumption value and analyze the relationship between consumption value typology and fashion product purchasing behavior of college students as consumers. Data were gathered by surveying college students living in Daegu and Kyungbook area using convenient sampling, and 513 questionnaires were used in the statistical analysis. Data were analyzed by frequency, factor analysis, cluster analysis, ANOVA, Duncan-test, Chi-square, and t-test. The findings are as follows. According to the consumption value typologies of college students were classified into three groups such as Social Value oriented, Functional Value oriented, and Differentiated Individuality oriented group. The Social Value oriented group and the Differentiated Individuality oriented group were more conscious of clothing pursuit propensities behavior such as brand, shopping place, and price than Functional Value oriented group. The Functional Value oriented group showed the lowest interest in brand name. Purchasing behavior of casual wear and bags fashion product had the significant effects on the shopping place, and price.

• Journal of Families and Better Life
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• v.14 no.4
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• pp.203-218
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• 1996

This study analyzed the relationships among the components of home management system. Through this it make to explain relationship between values and planning exactly and partially to test empirically system model to home management 650 housewives were adapted as data. Cluster analysis \chi$2 and ANOVA were used as statistical analysis. The resultes are summarized as follows 1) Goal-centered planning level was higher than that of resource-centered By 2 plannings subjects were classified into 4 planning styles : active morphogenic resource-reorganized demand-reorganized passive morphostatic style. 2) A difference between terminal value patterns and planning styles was no significant but a difference between instrumental value patterns and planning styles was significant. Family life satisfaction showed significant differences by not value patterns but planning styles. Because of high family life satisfaction as output of management active morphogenic style was successful. For succ ssful planning, it was suggested that homemarkers should possess values related broadminded loving and forgiving.

• 한국정보통신설비학회:학술대회논문집
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• 2008.08a
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• pp.197-200
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• 2008

In most sensor networks, nodes can be easily compromised by adversaries due to hostile environments. Adversaries may use compromised nodes to inject false reports into the sensor networks. Such false report attacks will cause false alarms that can waste real-world response effort, and draining the finite amount of energy resource in the battery-powered network. A dynamic enroute scheme proposed by Yu and Guan can detect and drop such false reports during the forwarding phase. In this scheme, choosing a threshold value is very important, as it trades off between security power and energy consumption. In this paper, we propose a threshold determining method which uses the fuzzy rule-based system. The base station periodically determines a threshold value though the fuzzy rule-based system. The number of cluster nodes, the value of the key dissemination limit, and the remaining energy of nodes are used to determine the threshold value.

• Journal of Microbiology
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• v.41 no.3
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• pp.232-238
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• 2003

Previous phylogenetic studies on human immunodeficiency virus type 1 (HIV-1) isolated from Korean patients suggest that the major subtype of Korean isolate is subtype B. In this subtype, some of the Korean isolates seem to be clustered exclusively of foreign isolates. Presence of this so-called “Korean clade” among Korean isolates is unique but needs verification since the number of Korean isolates used in previous studies was limited. This study aimed to identify the presence of the “Korean clade” by molecular phylogenetic analysis using all the Korean nef gene sequences registered in the NCBI GenBank (N=243) together with 32 reference strains and 77 foreign isolates. Extensive analysis of the nef gene nucleotide sequences by neighbor-joining method revealed the following. Most (83.1 ％) of the Korean isolates belonged to subtype B, and 81.2％ of subtype B were clustered together and excluded foreign isolates (bootstrap value=91.9％ ). Within Korean subtype B cluster, no characteristic subcluster formation was evident since the bootstrap values for the subcluster were very low. Due to limited information, the phylogenetic analysis failed to identify the epidemiological linkage among specific groups such as homosexuals and hemophiliacs within the Korean subtype B cluster. Detailed analysis and epidemiological information are needed to clarify the origin and significance of the Korean subtype B cluster.

• Korean Journal of Agricultural Science
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• v.39 no.1
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• pp.9-15
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• 2012

The study was conducted to evaluate the genetic similarity among commercial japonica rice varieties in Korea and China and to develop markers to differentiate between japonica cultivars developed in Korea and China. The genetic similarity and cluster of 38 accessions were analyzed using 47 SSR(simple sequence repeat) markers. The number of alleles by 47 SSR markers ranged from 2 to 9 with an average of 3.6. A total of 169 alleles were detected among these tested rice varieties. The PIC value varied from 0.05 to 0.79 with an average of 0.44. The Chinese japonica cultivars could be differentiated from the japonica cultivars in Korea by combining 2 SSR markers, RM223 and RM266. Cluster analysis showed that 38 tested varieties could be distinguished into japonica and indica based on the genetic distance.

• Journal of the Korean Society of Clothing and Textiles
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• v.17 no.2
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• pp.177-196
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• 1993

By cluster sampling measurements, passing months of pregnancy according to changes of pregnant women body forms. On the basis of the above mentioned data, sizes of pregnant women clothes were decided. The results are as follows. 1. By cluster sampling measurements, sixty-nine items of apparel were obtained during the three different periods of pregnancy. They included the mean and standard deviation of body form measurement and the minimum and maximum values (Chart 3-4). The results of these surveys made it possible to notice the changes of pregnant womens' physical characteristics, i. e., the increased physical proportions: frontal waist area, umbilicus width, abdominal girth, crotch length, the length of the nipple, and body weight and the decreased proportions: omphalos height, perineum dimension. There was little change in the rear parts of the body. 2. The analized results of principle factors for body form measurements by cluster measurements produced seven major factors for which the proper values were over 1.0. They were: form factor, pregnancy factor, posture factor, breast formation factor, rear body formation factor, and nipple to nipple breadth. 3. In deciding garment sizes of pregnant women, four different sizes were established; small, medium, large, and extra-large according to the third, fifth, eighth, and tenth month of pregnancy. The measurement value of each item was produced by estimate.

• Development and Reproduction
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• v.17 no.4
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• pp.363-367
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• 2013

PCR analysis generated on the genetic data showed that the geographic hairtail (Trichiurus lepturus) population from Korea in the Yellow Sea was more or less separated from geographic hairtail population from China in the South Sea. The average bandsharing value ($mean{\pm}SD$) within hairtail population from Korea showed $0.859{\pm}0.031$, whereas $0.752{\pm}0.039$ within population from China. Also, bandsharing values between two hairtail populations ranged from 0.470 to 0.611, with an average of $0.542{\pm}0.059$. As compared separately, the bandsharing values of individuals within hairtail population from Korea were comparatively higher than those of individuals within population from China. The hierarchical dendrogram resulted from reliable oligonucleotides primers, indicating two genetic clusters composed of cluster 1 (KOREANHAIR1~KOREANHAIR11) and cluster 2 (CHINESEHAI12~CHINESEHAI22). The genetic distances between two geographic populations ranged from 0.038 to 0.476. Individual No. 11 within hairtail population from Korea was genetically closely related with No. 10 (genetic distance=0.038). The longest genetic distance (0.476) displaying significant molecular difference was also between individual No. 01 within hairtail population from Korea and No. 22 from Chinese. In the present study, PCR analysis has revealed significant genetic distances between two hairtail population pairs (P<0.05).