• 한국조리학회지
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• 제18권4호
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• pp.47-58
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• 2012

본 연구는 부산지역 K대학교 학생들을 대상으로 식생활 라이프스타일유형에 따른 군집을 도출하고 각 집단과 외식선택속성과 비만도와의 차이를 고찰하고자 연구를 진행하였다. 연구의 목적을 달성하기 위하여 통계프로그램 PASW Statistic 18.0(Predictive Analytics Software)을 이용하여 빈도분석, 요인분석 및 신뢰도분석, t-test, ${\chi}^2$-test, 비 계층적 군집분석과 ANOVA을 실시하였다. 남자 대학생들의 평균키는 175.59 cm, 체중은 69.53kg이고, 여자 대학생들의 평균키는 162.81 cm, 체중은 53.42kg으로 나타내었다. 남학생 체질량지수를 저체중이 1.7%, 정상체중은 64.6%, 과체중 19.7%이고, 비만은 14.0%로 나타났다. 여학생 체질량지수는 저체중이 22.9%. 정상체중은 62.7%, 과체중이 8.5%, 비만은 5.9%를 나타내었다. 식생활라이프스타일 항목은 건강추구, 안전성추구, 분위기추구, 미각추구, 서양음식추구요인으로 추출되었고, 외식선택속성은 음식의 질과 서비스, 합리적인가격, 접근성과 분위기, 먹어본 경험 요인으로 추출되었다. 식생활라이프스타일은 군집1은 [식생활 무관심형 집단] 군집2는 [건강지향형 집단] 군집3은 [건강무관심형 집단]으로 군집 명을 부여하였다. 식생활라이프스타일 군집과 외식선택속성 요인간의 차이분석에서 군집1은 먹어본 경험에서 높은 평균값을 나타내었고, 군집2는 음식과 서비스의 질에서 높은 평균값을 나타내었고, 군집3은 접근선과 이미지에서 높은 평균값을 나타내었다.

• Interdisciplinary Bio Central
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• 제3권1호
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• pp.4.1-4.7
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• 2011

Forty-seven wild accessions of Lotus japonicus Regal (Japanese trefoil) indigenous to Japan were investigated for nine morphological characters. Average temperature and annual precipitation were negatively correlated with stem color and seed weight. On the other hand, latitude was positively correlated with these traits. Consequently, accessions from sites at higher latitudes with low temperatures and precipitation tend to have dark red stems and heavy seeds. Cluster analysis based on nine morphological characters classified 47 wild accessions into six major groups. Cluster I included four accessions of tall and erect plants. These plants are phenotypically similar to commercial variety 'Empire'. Cluster II consisted of three accessions of creep plants with pale red stems. Cluster III contained 24 accessions that had average values for all morphological characters evaluated. Cluster IV included two accessions of erect plants with rounded leaflets and dark red stems. Cluster V included four accessions of small, creep plants with pale red stems. Cluster VI included seven accessions of small and erect plants, a phenotype that also applies to ?Gifu B-129?, which is used as experimental strain worldwide. These data were deposited into LegumeBase, an online database (http://www.legumebase.brc.miyazaki-u.ac.jp/) supported by the National BioResource Project (NBRP) in Japan.

• 한국유기농업학회지
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• 제13권1호
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• pp.101-112
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• 2005

In order to select the suitable soybean cultivars for paddly field cultivation, growth response and yields characters were investigated with 37 Korean domestic soybean cultivars, in Yeoncheon, Gyeonggi province. The results can be summarized as follows ; When the soybeans were cultivated in paddy field, significant differences were observed in growth responses at each growth stage and yields among the cultivars. Yields of six cultivars, such as Danbaekkong, Paldokong, Pungsannanulkong, Myeongjunamulkong, Saeolkong, and Namhaekong, were less than 200kg/10a, however, seven cultivars, such as Shinpaldalkong 2, Sohokong, Dormikong, keumkangkong, Bukangkong, Dajangkong, and Geomjeongkong 2, showed highest yields ranged from 301~385kg/10a. At V5 stage, highly positive correlation(r=091$^{{\ast}{\ast}}$) was observed between the top dry weight and leaf area while negative correlation was existed between T/R ratio and root dry weight. However, at R2 age, leaf area was correlated with both top and root dry weight while T/R ratio was correlated with leaf area and top dry weight. Thirty-seven soybean cultivars used in this experiments were classified into 3 different clusters based on 19 important agronomic characters, and genotypic properties of the cultivars were similar in each cluster. In results, high yields could be achieved by selected cultivation of suitable soybean cultivars such as Shinpaldalkong 2 which showed early maturation date and highly ripening ratio.

• 복식문화연구
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• 제13권2호
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• pp.200-208
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• 2005

This study was aimed to provide the measurement data and shape classification of the head of the Korean female children for the headwear sizing systems. Four hundred nineteen female children, aged nine to twelve years, participated for this study. The 19 regions on the head and height, weight of the subjects were directly measured by the expert experimenters. Factor analysis, cluster analysis, GLM analysis and Tukey HSD test were performed using these data. Through factor analysis, five factors were extracted upon factor scores and those factors comprised $71.318\%$ for the total variances. Three clusters as their head shape were categorized using fiver factor scores by cluster analysis. Type 1 was characterized by the widest head width, Bitragion arc, and shortest head length, and medium height and weight. Type 2 had the longest head length and the widest side head width and the highest head circumference, and highest height and largest weight. Type 3 was characterized by the medium head length, smallest head circumstance, narrowest head width and side head width, and smallest height and weight.

• 한국국방경영분석학회지
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• 제6권2호
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• pp.89-127
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• 1980

The multivariate analysis techniques of cluster analysis are examined in this article. The theory and applications of the techniques and computer software concerning these techniques are discussed and sample jobs are included. A hierarchical cluster analysis algorithm, available in the IMSL software package, is applied to a set of data extracted from a group of subjects for the purpose of partitioning a collection of 26 attributes of a weapon system into six clusters of superattributes. A nonhierarchical clustering procedure were applied to a collection of data of tanks considering of twenty-four observations of ten attributes of tanks. The cluster analysis shows that the tanks cluster somewhat naturally by nationality. The principal componant analysis and the discriminant analysis show that tank weight is the single most important discriminator among nationality although they are not shown in this article because of the space restriction. This is a part of thesis for master's degree in operations research.

• Journal of Communications and Networks
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• 제18권5호
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• pp.846-856
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• 2016

Wireless sensor networks (WSNs) are widely applied in monitoring and control of environment parameters. It is sometimes necessary to disseminate data through wireless links after they are deployed in order to adjust configuration parameters of sensors or distribute management commands and queries to sensors. Several approaches have been proposed recently for data dissemination in WSNs. However, none of these approaches achieves both high efficiency and low complexity simultaneously. To address this problem, cluster-tree based network architecture, which divides a WSN into hierarchies and clusters is proposed. Upon this architecture, data is delivered from base station to all sensors in clusters hierarchy by hierarchy. In each cluster, father broadcasts data to all his children with instantly decodable network coding (IDNC), and a novel scheme targeting to maximize total transmission gain (MTTG) is proposed. This scheme employs a new packet scheduling algorithm to select IDNC packets, which uses weight status feedback matrix (WSFM) directly. Analysis and simulation results indicate that the transmission efficiency approximate to the best existing approach maximum weight clique, but with much lower computational overhead. Hence, the energy efficiency achieves both in data transmission and processing.

• Plant Resources
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• 제6권3호
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• pp.178-182
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• 2003

This study was conducted to investigate the relationship between yearly variations of climatic elements and yearly variations of productivity in perilla. In addition, correlation coefficients among yield and yield components were estimated. The data of yield and yield components were investigated for 10 years from 1991 to 2000. The meteorological data gathered at the Yeosu Weather Station for the same period were used to find out the relationships between climatic elements and productivity. Yearly variation of the amount of precipitation in September was large with coefficients of variation(c. v.) of 11.1%, but the coefficient of variance(c. v.) in July and August were relative small with 1.8, 2.1%, respectively. Number of cluster per hill and weight of 1,000 grains were greatly with c. v. of 76.1, 79.3%, respectively, but the coefficients of variance(c. v.) of plant height and seed yield were more less with 9.58, 10.60%, respectively. Correlation coefficients between precipitation of September and seed yield were positively significant correlation at the level of 5.1%, respectively, but the duration of sunshine in September and seed yield were negatively significant at the level of 5.1%, respectively. Correlation coefficients of these, the plant height, number of branches per plant, cluster length, number of cluster per hill, weight of 1,000 grains and seed yield were positively significant at the level of 5.1% respectively.

• 가정간호학회지
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• 제16권1호
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• pp.12-21
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• 2009

Purpose: The survey-based study aimed to determine the distribution and clustering tendency of metabolic syndrome risk factors in urban residents, and cluster odds ratios. Methods: Cluster sampling involved 827 urban participants and analysis of the collected data. Results: Regarding the prevalence of metabolic syndrome risk factors used for diagnosis, abdominal obesity was higher in women(69.5%) than in men(34.3%), high blood pressure was higher in men(57%) than in women(46.5%), and blood sugar was higher in men(6.9%) than in women(5.7%). Clustering increased with increasing body mass index(BMI), weight:height ratio(W/Ht) and abdominal obesity Risk factors for females were 1.7 times higher than for males. Participants with a family history of metabolic syndrome displayed related risk factors 1.5 times more than participants without a family history. Participants having a BMI ranking them as obese were 9.5 times more likely to display metabolic syndrome risk factors than non-obese participants. Obese participants were 20 times more likely to display risk factors than non-obese participants. Conclusion: BMI, W/Ht and abdominal obesity correlate with clustering of metabolic syndrome risk factors. The risk is increased by smoking and family history. Exercise weight control and non-smoking are recommended for comprehensive management of clustering of metabolic syndrome risk factors.

• 한국컴퓨터정보학회논문지
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• 제19권11호
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• pp.91-96
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• 2014

사물인터넷은 다수의 센서를 통해 다양한 데이터를 수집하므로 센서의 생존 시간을 최대화하고 데이터를 효율적으로 수집해야한다. 또한 특정 영역에서의 연속적인 데이터 수집은 해당 센서들의 에너지 소비를 증가시키고 이벤트에 급격한 변화가 없을 경우 비슷한 데이터를 계속적으로 전송해야한다. 이러한 문제를 해결하기 위해 본 연구에서는 배치된 센서들을 동일 크기의 그리드로 나누고 단일 그리드 내에서 잔존 에너지, 센서의 밀도, 그리고 위치를 고려하여 최적의 헤드노드를 선택하는 알고리즘을 제시한다. 이 알고리즘의 목표는 그리드의 수명을 최대화하는 것이다. 시뮬레이션 결과 기존 기법들에 비해 단순하면서 에너지를 효율적으로 사용함을 확인할 수 있었다.

• 약학회지
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• 제39권3호
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• pp.297-305
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• 1995

The aim of the present study was to develop strains of actinomycetes producing low molecular weight cathepsin B inhibitor. Among 700 isolates from soil samples, a strain of Streptomyces sp. SMF30 producing cathepsin B inhibitor showing specificity and heat stability was selected by an economical and effective screening method. 50 units characteristics for major cluster analysis and 34 units characteristics for minor cluster were tested and the data were analyzed numerically using the TAXON program. The Isolate SMF30 was identified as a strain of Streptomyces aburabiensis