본 연구에서는 1000 hPa면 고도 자료 및 K-평균 군집분석법을 활용하여 한반도 주변 기압배치를 분류하고, 각 유형의 특성을 조사하였다. 군집의 기준으로 기압배치 공간 형태의 유사성을 나타내는 패턴 상관계수를 사용하고, 유사성의 경계치로 0.8을 적용하여 대표적 기압배치 유형 11개를 얻었다. 이들은 시베리아 기단이 한반도 주변으로 장출하는 경로에 따라 3개, 북태평양 고기압의 중심 위치에 따라 3개, 시베리아 및 북태평양 기단의 영향권에서 기압골이 나타나는 유형 2개, 그리고 봄가을에 주로 나타나는 이동성 고기압형으로 고기압의 장축방향에 따라 3개 등이다. 각 기압 배치 유형의 출현빈도로부터 추정한 한반도에 영향을 주는 기단의 출현비율은 시베리아 기단 55.4%, 북태평양 기단 29.3%, 양쯔강 기단 12.8%, 오호츠크해 기단 2.5% 순이며, 한반도는 대륙에서 기원한 기단의 영향이 68.2%로 지배적이다. 한반도 주변 기압계는 겨울 기압배치 유형과 여름 기압배치 유형이 각기 대륙과 해양에 발달하는 정체성 기단으로부터 확장되는 고기압을 중심으로 하여 대조적으로 출현하고, 봄가을의 이동성 고기압형은 이들의 변환 과정에서 나타난다. 근래 여름 북태평양 고기압의 한반도 출현빈도가 감소하고 있다. 그리고 겨울 기압배치 유형의 출현이 봄가을에 자주 나타나면서 기압골을 갖는 기압배치 유형의 출현빈도가 증가하고, 이동성 고기압형은 거의 모든 계절에 나타나는 경향이 있다.

PURPOSES : Traffic situation of Seoul City is different each administrative district. because each administrative district population, average travel speed, etc are different. thus, regionally differentiated policy is necessary. METHODS : In this study, first, it is to implement the cluster analysis using the traffic factor of twenty-five administrative districts in Seoul, categorize it into the cluster and understand the properties. second, related factors of speed were derived. and method to increase the speed was investigated. we choose the eleven traffic factors such as the number of traffic accident cases, total length, speed, the number of cross section, the number of cross section per km, the rate of roads, registered cars, population attending office and school, population density, area. RESULTS : In the results, first, we could categorize the Seoul-City administrative district into three clusters. in order to find Factors associated with speed a simple regression analysis was performed. and the number of intersections per km is closely related to the speed. CONCLUSIONS : Through this study, transportation policies reflecting local traffic-related characteristics are required.

여름에 바다로부터 불어오는 해풍은 해안 도시지역에서의 열섬현상을 감소하기 위한 방법 중 하나로 제시되었다. 특히 바람을 이용한 열섬 효과 저감은 해풍의 특성 -연직 풍속 및 온도 분포- 에 많이 영향을 받는다. 따라서, 열섬 효과 저감을 위한 도시 개발단계에서 해풍을 이용하기 위해서는 해풍의 특성을 충분히 이해해야만 한다. 본 연구에서는 대기 기상 모델링을 이용하여 동경 지역을 수치 해석을 하였다. 수치 해석 결과를 클러스터 분석을 통하여 8개의 대표적인 해풍의 연직 패턴을 분류하였으며, 각 분류된 패턴간의 관계 및 발생 빈도를 비교 및 검토하였다.

산림경영의 기본 구획단위는 임․소반이다. 산림경영 단위로서의 임․소반의 중요성에도 불구하고 구체적인 임․소반 구획기준과 적용방법이 없어 경영단위로서의 의미가 퇴색되어 가고 있다. 따라서 본 연구에서는 임․소반 구획을 위한 기준과 방법론을 제시하여 이를 남부지방산림관리청 관할의 ‘춘양경영계획구’에 적용하고 기존 임․소반 구획과 비교해 보았다. 임반 경계를 조정하기 위해 구축된 대상지의 수치도면자료를 바탕으로 GIS 공간분석을 실시하였다. 그리고 새로 조정된 임반 경계 안에서 중첩분석과 군집분석(SAS 8.2)을 실시하여 이들 결과를 바탕으로 소반구획을 재조정 하였다. 새로운 기준에 의한 재조정 결과 기존 임․소반 경계의 많은 부분이 유역, 임상, 지형조건 등의 요소를 반영하여 수정되었다. 본 연구 결과는 임․소반 구획 및 경계의 재조정 문제에 있어 방법론적 틀을 제공한다는 데 의미를 가진다.

The objective of this study was to use cluster analysis to determine differences in eating-out behavior among grouped clusters of female consumers after each cluster was divided based on lifestyle patterns. The data were collected by interview survey from a biased sample of 1,300 females, ranging from ages 20 to 59, and living in residential districts of Seoul. Reliability analysis, factor analysis, cluster analysis, cross-tabulation analysis, and analysis of variance (ANOVA) were applied to the data. Four lifestyle factors were extracted by lower-division and classified as follows: health condition, consuming, food, and housing lifestyles. Based on these four factors, the female consumers were grouped as three clusters: the consuming-individuality type, rational-pursuit type, and conservative-stability type. The eating-out behavior of each cluster was significantly different in terms of frequency of eating-out, eating-out expenditures, restaurant selection criteria, food preferences, and the purpose for eating-out. Since this study surveyed females from ages 20 to 59, age and demographics were the differential factors in determining the various lifestyle types. Thus, to target the consumers who form a target market, the food industry should consider market segmentation that combines demographic factors such as age, income, and marital status.

방목초지 식물군학에 대한 생태적 특성을 결정하고 군집분석을 이용하여 군락간의 유사성을검정하고자, 1998년 8월부터 10월까지 독일의 중부지역인 Witzenhausen 근교에서 조사한 초지 식물군락을 Kassel 대학교 초지생태 연구소에서 컴퓨터 프로그램을 이용하여 분석하였다. 16개 지역의 초지에서 조사한 식생을 군강(Class)으로 분류한 식물군락은 대부분 Molinio-Arrhenatheretea 및 Festuco-Brometea 초지군락 이었으며

We consider the Fuzzy clustering which is devised for partitioning a set of objects into a certain number of groups by assigning the membership probabilities to each object. The researches carried out in this field before show that the Fuzzy clustering co

본 논문에서는 클러스터 시스템을 이용하여 프리스트레스트 콘크리트 프레임의 병렬 비선형해석이 가능한 해석수단을 제시하였다. Win 98 및 Linux 운영체제 하의 PC 및 Ethernet을 활용하여 저가의 클러스터 시스템을 구축하였고 메시지 전송을 위하여 MPI를 사용하였다. 비선형해석에 있어 해석시간의 대부분을 차지하는 반복계산과정 중 병렬계산에 의한 효율이 높은 접선강도매트릭스의 형성 및 요소응력계산, 재료상태 결정, 부재파괴 검토, 불평형하중 계산과정에 대한 병렬계산 알고리즘을 메시지 전송방식을 이용하여 제시하고 클러스터 시스템 상에서 구현했다. 캔틸레버 보와 PSC 거더교를 대상으로 클러스터 컴퓨팅을 이용한 비 선형해석을 수행한 결과 노트가 4개일 경우의 성능향상은 고려한 비선형형성 및 문제의 크기에 따라 다르나 Win98 환경에서 최소 2.46배에서 최대 3.18배로 나타났고 Linux 환경에서 최소 3.16배에서 최대 3.74배로 나타났으며 통신환경의 개선에 따라 증대될 것으로 기대된다.

We present the color-magnitude diagrams (CMD) of more than 24,000 stars in the field of an intermediate age open cluster M11, based on wide field CCD imaging. The morphology of the CMDs varies strikingly as the distance from the center of the cluster increases. From the surface number density analysis, we confirm the mass segregation effect in this cluster: the bright, massive stars are centrally more concetrated than the faint, low mass stars. The slope of the field-corrected surface density with respect to magnitude progressively increases as the radius increases, up to r = 5'. Most of the field stars in or near the cluster main sequence band and in the bright part of the red stars in the CMDs appear to be nearly at the same distance as M11, and they are considered to be the major component of disk stars in the Sagittarius-Carina arm.

The relationship between global climate change and international trade affects not only the sustainable development of the earth's ecological environment, but also the development trend of the world economy. we analyze the published papers in WOS database by CiteSpace sofeware. The basic statistical results are: (1) there is no consensus on the relationship between climate change and international trade, (2) the United States, China and the United Kingdom are the main contributors. The research front mainly focuses on four aspects: (1) the flow direction of carbon leakage in international trade，(2) virtual water trade caused by climate change，(3) trade policy and uncertainty of sustainable development，(4) main problems hindering low carbon technology cooperation.

The study was investigated in vegetation and environmental factors of Thuja koraiensis habitats where provided for ecological evidence data for conservation and management. Study plots were located at altitudes of 1,000∼1,588 m with inclinations of 10∼30°. A total of 150 taxa was identified 22 quadrates in 6 study sites. The highest basal area was analyzed in Mt. Gariwangsan 49.98 ㎡/㏊ with the lowest Mt. Hwaaksan 3.46 ㎡/㏊. Thuja koraiensis forest was classified into two communities; Abeis nephrolepis-Taxus cuspidata community, Betula ermanii-Thuja koraiensis community. As a result of Multi-Response Permutation Procedures test, there was significant difference among the communities.

In this paper we present analysis of current density when the Cluster spacecraft pass the nightside auroral region at about 4-5 RE from the center of Earth. The analysis is made when the inter-spacecraft separation is within 200 km, which allows all four spacecraft to be situated inside the same current sheet. On 22 February 2002, two field-aligned current (FAC) events were observed in both the southern and the northern hemispheres. The FACs were calculated with magnetic field data obtained by the four spacecraft using the Curlometer method. The scales of the FACs along the spacecraft trajectory and the magnitudes were hundreds of kilometers and tens of nA/m2, respectively, and both events were mapped to the auroral region in the ionosphere. We also examined reliability of the results with some parameters, and found that our results are adequately comparable with other studies. Nevertheless, some limitations that decrease the accuracy of current estimation exist.

Climate changes from global warming and reduction in agricultural land result in volatility of prices of agricultural products, causing a imbalance of food market in Korea. It is necessary to develop a transnational food industry cooperation system among Korea, China and Russia that directly or indirectly affect food industry in terms of the whole industrial network. This study analyzes the value chain and linkage in the agriculture, forestry and fisheries industries in three nations. The unit structure and the industrial patterns of three nations were derived using the World Input-output Table (WIOT) from 2004 to 2014 every five years. This paper is expected to contribute to develop food security cooperation in the northern part of the Korean peninsula and to promote the mutual growth of food industry through industry linkage and cooperation.

This study was conducted to determine correlations and similarity between the ozone and PM10 data of 19 air quality monitoring stations in Busan from 2013 to 2016, using correlation and cluster analyses. Ozone concentrations ranged from 0.0278±0.0148 ppm at Gwangbok to 0.0378±0.017 ppm at Taejongdae and were high in suburban areas, such as Yongsuri and Gijang, as well as in coastal areas, such as Jaw, Gwangan, Taejongdae and Noksan. PM10 concentrations ranged from 37.2±25.0 ug/m3 at Gijang to 58.3±32.2 ug/m3 at and Jangrim. PM10 concentrations were high in the west, exceeding the annual ambient air quality standard of 50 ug/m3. Positive correlations were observed for ozone at most stations, ranging from 0.61 between Taejongdae and Sujeong to 0.92 between Bugok and Myeongjang. The correlation coefficients of PM10 between stations ranged from 0.62 between Jangrim and Jaw to 0.9 between Gwangbok and Sujeong. Yeonsan, Daeyeon, and Myeongjang were highly correlated with other stations, so they needed to be reviewed for redundancy. Ozone monitoring stations were initially divided into two sections, north-western areas and suburban-coastal areas. The suburban-coastal areas were subsequently divided into three sections. PM10 monitoring stations were initially divided into western and remaining areas, and then the remaining areas were subsequently divided into three sections.

In this study, the intra-seasonal fluctuation (ISF) of wintertime temperature change in East Asia was classified by a cluster analysis of complete linkage. A ISF of temperature change was defined as a difference of synthesized harmonics (1 to 36 harmonic) of daily temperature averaged for 30 years (1951~1980, 1981~2010). Eight clusters were gained from the ISF curves of 96 stations in East Asia. Regions of the cluster C, G and A1 seem to be affected by the Siberian High (SH) center, whereas the cluster A1, A2, D, B and F by the SH main pathways. Regions of the cluster E are apart from the SH main pathways and appear to be in the area of influence of other factors. Wintertime temperatures in Northwest China (clusters C, G) and Northeast China (cluster A1) were increased very largely. In most clusters, around late January there were less warming periods than the winter mean of the mean ISF of the clusters, before and after this time there were more warming periods than the winter mean.