• 한국식품조리과학회지
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• 제32권6호
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• pp.734-744
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• 2016

Purpose: This study investigated the preference and awareness of consumers residing in the capital area with respect to South and North Korean regional cuisine to provide baseline data for developing effective commercialization strategies. Methods: This survey was conducted among adults over the age of 19 years who were residing in Seoul and Gyeonggi province area, and data analysis was performed using SPSS WIN 18.0. Results: Analysis of the survey participants' preference for South and North Korean regional cuisine showed that Hwanghae province had the highest preference by $4.35{\pm}1.72$ points, whereas Gangwon province had the lowest preference by $3.75{\pm}0.66$ points. Factorial analysis on general characteristics of Korean regional cuisine resulted in 2 factors - 'locality' and 'health'. Cluster analysis showed that participants could be sorted into two clusters by their awareness of Korean regional cuisine - 'the lower cognitive group' and 'the higher cognitive group'. Cluster analysis on the tourism commercialization strategy for Korean regional cuisines showed that 'the higher cognitive group' had significantly higher awareness regarding the following 3 items: 'merchandising strategy', 'popularization strategy' and 'marketing strategy' (p<0.001). Cluster analysis of the world commercialization strategy showed that 'the higher cognitive group' had significantly higher awareness regarding all items of the 'R&D support strategy' and 'Food culture promotion strategy' categories than the 'the lower cognitive group' (p<0.01). Conclusion: Popularization strategies such as value perception based on the well-being concept, and standardization of recipes; merchandising strategies based on storytelling; and food and culture promotional strategies such as Korean cooking classes and food tasting events, were rated as effective commercialization strategies to increase the popularity of Korean regional cuisine.

• 농촌계획
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• 제19권1호
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• pp.81-90
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• 2013

The aim of the research was to analyze a correlation between rural villages and a space of amenity resources in order to provide objective basic data for rural renewal planning in the future. 15 villages were selected to analyze amenity resources. A Space Syntax Method(SSM) was used to analyze a spacial structure of each village and location characteristics of amenity resources. Finally, Statistical Package for the Social Sciences(SPSS) was used for a cluster analysis. The results of spacial analysis showed that the MeanDepth of rural villages was 4.482 and Global Integration Value(GInteg) was 0.956. Relatively, a depth was lower and GInteg was higher, compared to other villages. Rural villages were easily recognized and accessible by outsiders, compared to mountain and fishing villages. In the case of rural villages, the MeanDepth of amenity resources was low and GInteg was high in the results of cluster analysis using a nonhierachical method. Results indicated that an access was easy and amenity resources were closely located each other. However, the deviation of each village was great in mountain villages. This research suggests that an effective maintenance of road network for improving accessibility would be given priority in an undeveloped farming and fishing villages' renewal. Especially, using a spacial analysis in village renewal planning process can improve accessibility and maximize an utilization of public facilities and amenity resources.

• 한국의류학회지
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• 제20권2호
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• pp.282-297
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• 1996

The effective construction for ready-made clothes is one of the central concerns of both consumers and manufactuers in today's apparel industry. In order to reduce the burden of stocks and increase clothing fitness, systematic information on typical body sizes and somatotypes is essential. The purpose of this study i-: to provide basic data on young women's somatotypes for form designers and pattern makers. The subjects of the survey were 310 women of 18 to 26 years old. The study collected 84 anthropometric data for each Person. The data was analyzed by using of the multivariate method. The factor analysis was utilized in regard to the 65 items obtained from anthropometric measurement respectively. The principal component analysis was applied to the data with orthogonal rotation after extraction. The factor scores used in the factor analysis became the basis of determining the value of each variable of the cluster analysis. The cluster analysis was applied for identifying typical somatotypes. Ward's minimum variance method was applied for the purpose of extracting distance metrix by the standardized Euclidean distance. The element forming each cluster can be subdivided into several sets by crosstabulation which is obtained by the fastclus of the SAS. This research has demonstrated 3 distinctive types of silhouette contour of the trunk. Incidentally it also identified 4 of the lower body from the waistline to thigh contour respectively. The discriminant analysis showed that the most significant discriminant factor of the trunk classification were side neck point -1 scapular -1 waistiline length and waist girth. In Korea, the average somatotype of female college students tends to be tall, slim and straight. Reviewing the relationship between the classifications of three parts of body, they are related to each other to some extent but their distribution are not constant. Therefore, in view of clothing construction, a proper separation of the body surface is a necessity.

• Journal of the Korean Data and Information Science Society
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• 제23권1호
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• pp.39-51
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• 2012

군집분석은 마이크로어레이 발현자료에서 유전자 혹은 표본들의 유사한 특성을 갖는 연관구조를 조사하는데 중요한 도구이다. 본 논문에서는 마이크로어레이 자료에서 계층적 군집방법, K-평균법, PAM (partitioning around medoids), SOM (self-organizing maps) 그리고 모형기반 군집방법 들의 성능을 3가지 군집 타당성 측도인 내적 측도, 안정적 측도 그리고 생물학적 측도를 가지고 비교분석하고자 한다. 모의실험을 통해 생성된 자료와 실제 SRBCT (small round blue cell tumor) 자료를 가지고 여러 가지 군집방법들의 성능을 비교하였으며 그 결과 모의실험 자료에서는 거의 모든 방법들이 3가지 군집측도에서 원래 자료와 일치하는 좋은 군집 결과를 나타내었고 SRBCT 자료에서는 모의실험 자료처럼 명확한 군집화 결과를 보여주지는 않으나 내적측도의 실루엣 너비 (Silhouette width) 관점에서는 PAM 방법, SOM, 모형기반 군집방법 그리고 생물학적 측도에서는 PAM 방법과 모형기반 군집방법이 모의실험 결과와 비슷한 결과를 얻었고 안정적 측도에서 모형기반 군집방법이 다른 방법들보다 좋은 군집결과를 보여주었다.

• 한국컴퓨터정보학회논문지
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• 제15권5호
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• pp.49-56
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• 2010

본 논문에서는 클라우드 컴퓨팅을 위해 Hadoop 기반의 클러스터를 구축하고, RandomTextWriter, WordCount, PI 애플리케이션을 수행함으로써 애플리케이션 특성에 따른 클러스터의 성능을 평가한다. RandomTextWriter는 주어진 용량만큼 임의의 단어를 생성하여 HDFS에 저장하는 애플리케이션이고, WordCount는 입력 파일을 읽어서 블록 단위로 단어 빈도수를 계산하는 애플리케이션이다. 그리고 PI는 몬테카를로법을 사용하여 PI 값을 유도하는 애플리케이션이다. 이러한 애플리케이션을 실행시키면서 데이터 블록 크기와 데이터 복제본 수 증가에 따른 애플리케이션의 수행시간을 측정한다. 시뮬레이션을 통하여 RandomTextWriter 애플리케이션은 데이터 복제본 수 증가에 비례하여 수행시간이 증가함을 알 수 있었다. 반면에 WordCount와 PI 애플리케이션은 데이터 복제본 수에 큰 영향을 받지 않았다. 또한 WordCount 애플리케이션은 블록 크기가 64~256MB 일 때 최적의 수행시간을 얻을 수있었다. 따라서 이러한 애플리케이션의 특성을 고려한 스케줄링 정책을 개발한다면 애플리케이션의 실행시간을 단축하여 클라우드 컴퓨팅 시스템의 성능을 향상시킬 수 있음을 보인다.

• 한국자기공명학회:학술대회논문집
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• 한국자기공명학회 2002년도 International Symposium on Magnetic Resonance
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• pp.70-71
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• 2002

Exchange-coupled cluster of transition-metal ions are relevant to many different scientific areas, ranging from chemistry to solid-state physics, biology, material science and has been the subject of much research in recent years(1,2). Single crystal EPR spectroscopy works as a very effective tool for the measurement of J values for small exchange interactions. This makes EPR technique very suitable for detection of weak exchange coupling transmitted over long distances via extended atomic and melecular bridges. Large polyoxometallates (3) may provide ideal structural environments for the study of interactions between paramagnetic ions. The detailed nature of magnetic interaction (positive sign and magnitude of J~0.006 $cm^{-1}$ /) was clearly determined for di-copper(II) system by single crystal EPR spectroscopy (4). The single-triplet (S-T) transitions are forbidden by different symmetries of the wave functions. However, when the singlet ground state is mixed into triplet states, the S-T transitions can be allowed and observed as weak lines. These weak S-T lines are positioned symmetrically with respect to the main transitions in the distance equals to 2J from the center of the spectrum. This lines allow one to determine the J-value with very high accuracy when │J│ ＜ hv 0.32 $cm^{-1}$ /. Unfortunately, the S-T transitions in the single crystal were detected by EPR method only in a few complexes until now. We have measured single-triplet transition lines for several magnetically coupled cluster systems and determined their J values accurately. The temperature dependency of J was studied by monitoring the changes in S-T.

• 한국지능시스템학회논문지
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• 제16권6호
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• pp.777-784
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• 2006

본 논문에서는 부분최소법 (PLS: Partial least square)과 c-퍼지 모델트리를 적용하여 클로로필-a 농도의 예측 모델을 제안한다. 제안된 방법은 모든 입력속성을 고려하여 퍼지 클러스터에 의해 계산된 중심벡터를 설정한 후, 각각의 중심벡터들과 입력속성간의 소속도를 이용하여 내부 노드를 형성하고, 형성된 내부노드에서 PLS를 적용하여 지역모델(Local model)을 구축한다. 노드의 분리기준으로서 부모노드(patent node)에서 구축된 모델에서 계산된 에러값이 자식노드(child node)에서 계산된 에러값보다 클 경우에 분기가 이루어진다. 최종 단계에서는 임의의 입력데이터와 잎노드에서 계산된 클러스터 중심값과 비교하여 소속도가 높은 클러스터에 속한 지역모델을 선택하여 출력값을 예측한다. 제안된 방법의 우수성을 보이기 위해 수질 데이터를 대상으로 실험한 결과 기존의 모델트리 방식에 비하여 향상된 성능을 보임을 알 수 있었다.

• 한국정보통신학회논문지
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• 제12권9호
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• pp.1696-1702
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• 2008

한정된 용량의 배터리에 의존하는 MANET(Mobile Ad-hoc Network)에서는 에너지 효율을 높이기 위한 다양한 클러스터링 기법과 라우팅 알고리즘이 연구되고 있다. 일반적으로 무선 Ad-hoc 네트워크에서는 LEACH와 같은 클러스터 기반의 동적 라우팅 알고리즘이 많이 사용된다. 본 논문에서는 클러스터 내의 각 노드가 가지는 속성을 고려하여 클러스터를 생성하고 노드를 관리하는 TICC(Time Interval Clustering Control) 알고리즘 기법을 제안한다. 제안한 TICC은 노드의 속성 중의 하나인 베터리 값 즉 에너지 값으로 노드의 에너지 레벨을 분류한다. 그리고 분류된 에너지 레벨에 대응하는 시간차 컨트롤 기법을 이용하여 클러스터링 과정을 수행하거나 노드들을 관리한다. 특히 제안한 TICC 알고리즘은 MANET에서 클러스터의 생성, 재생성, 진입 노드 및 이탈 노드의 검출과 관리를 통해 노드의 에너지 관리 효율을 향상시키고 클러스터의 Lifetime을 증가시키는 결과를 보여주었다.

• Journal of Korea Trade
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• 제24권8호
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• pp.171-188
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• 2020

Purpose - This is an exploratory study that aims to apply text mining techniques, which computationally extracts words from the large-scale text data, to legal documents to quantify trade claim contents and enables statistical analysis. Design/methodology - This is designed to verify the validity of the application of text mining techniques as a quantitative methodology for trade claim studies, that have relied mainly on a qualitative approach. The subjects are 81 cases of arbitration and court judgments from China published on the website of the UNCITRAL where the CISG was applied. Validation is performed by comparing the manually analyzed result with the automatically analyzed result. The manual analysis result is the cluster analysis wherein the researcher reads and codes the case. The automatic analysis result is an analysis applying text mining techniques to the result of the cluster analysis. Topic modeling and semantic network analysis are applied for the statistical approach. Findings - Results show that the results of cluster analysis and text mining results are consistent with each other and the internal validity is confirmed. And the degree centrality of words that play a key role in the topic is high as the between centrality of words that are useful for grasping the topic and the eigenvector centrality of the important words in the topic is high. This indicates that text mining techniques can be applied to research on content analysis of trade claims for statistical analysis. Originality/value - Firstly, the validity of the text mining technique in the study of trade claim cases is confirmed. Prior studies on trade claims have relied on traditional approach. Secondly, this study has an originality in that it is an attempt to quantitatively study the trade claim cases, whereas prior trade claim cases were mainly studied via qualitative methods. Lastly, this study shows that the use of the text mining can lower the barrier for acquiring information from a large amount of digitalized text.

• 복식문화연구
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• 제20권4호
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• pp.529-534
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• 2012

An analysis of adult women's somatotypes classified by drop values can provide important preliminary data in determining standard clothing sizes for mass production of ready-made clothes. This is because the values are based on measurements of girth, which is essential information in the size-setting process. Adult women's body types are classified according to drop values in a standard clothing size system adopted by Korea and several other countries. This study aims to identify somatotype characteristics of adult women aged 20 to 69 by using five types of drop values: bust-waist, hip-waist, hip-bust, abdomen-waist, and hip-abdomen. Statistical cluster analysis of collected data revealed four somatotypes among adult women. Type R, with a developed lower body, accounted for 36.6%, and its bodyline was found to be closest to the average adult woman. Type X, constituting 25.4%, had the curviest contours of all and relatively large hip measurements, with the thinnest figure. Flat abdomen and hips characterized type Y, which accounted for 18.9%. Lastly, 19.0% fell into type H, the most obese figure, in which abdomen girth exceeded hip measurements. Since type H has excess fat deposits in the abdomen, not only hip measurements but also abdomen girth should be considered when designing top longer than torso-length and bottoms.