• Proceedings of the Plant Resources Society of Korea Conference
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• 2022.09a
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• pp.61-61
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• 2022

섬괴불나무(Lonicera insularis Nakai)는 인동과(Caprifoliaceae) 인동속(Lonicera) 식물로 우리나라 울릉도에 제한적으로 분포한다. 인동과 식물 중 인동(L. japonica Thunb.), 괴불나무[L. maackii (Rupr.) Maxim] 등 다수의 분류군이 약리효능이 입증되었으며, 맛이 뛰어나 차, 술, 음료 등으로 다양하게 활용되고 있다. 그 중 섬괴불나무는 최근 면역자극 및 항비만 활성 등 다양한 약효가 확인되어 약용자원으로서의 잠재적 가치가 큰 것으로 보고된 바 있다. 따라서 본 연구를 통해 특산식물인 섬괴불나무의 적정 자생지를 명확하게 구명하여 보전생물학적 연구, 재배 및 산업화와 같은 현지 외 보전연구를 위한 기초자료로 활용하고자 한다. 연구 결과, 울릉도에서 확인된 섬괴불나무의 주요 분포지는 4개소로 해안도로 일대에 자생하고 있었다. 입지환경은 해발고도 8-20 m, 사면 방위는 남사면, 경사는 15-30°로 완경사지에서 주로 자생하고 있었다. 방형구(10×10 m) 내 개체수는 5-25 개체로 대부분 군락을 이루고 있는 것으로 확인되었다. 4개 조사구에 대한 군집분석을 실시한 결과, 조사구는 곰솔 군집(Pinus thunbergii Parl.)으로 상층의 발달이 거의 없는 전형적인 해안 식생의 구조로 확인되었다. 관목층은 보리장나무(Elaeagnus glabra Thunb.), 송악[Hedera rhombea (Miq.) Bean], 머루(Vitis coignetiae Pulliat ex Planch.) 등이 경쟁관계에 있었으며, 초본층은 왕호장근[Reynoutria sachalinensis (F.Schmidt) Nakai], 갯메꽃[Calystegia soldanella (L.) R.Br], 해국(Aster spathulifolius Maxim.) 등으로 인하여 섬괴불나무는 피압된 것으로 판단된다. 군집의 안전성, 다양성을 나타내는 척도인 종다양성지수는 1.259, 최대종다양성지수는 1.286, 균재도는 0.979, 우점도는 0.021로 확인되었다.

• Journal of Environmental Impact Assessment
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• v.27 no.5
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• pp.447-474
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• 2018

The purpose of this study is to build a new dataset of spatially interpolated climate data of South Korea by performing various geo-statistical interpolation techniques for comparison with the LDAPS grid data of KMA. Among 595 observation data in 2017, 80 % of the total points and remaining 117 points were used for spatial mapping and quantification,respectively. IDW, cokriging, and kriging were performed via the ArcGIS10.3.1 software and Python3.6.4, and each result was then divided into three clusters and four watersheds for statistical verification. As a result, cokriging produced the most suitable grid climate data for instantaneous temperature. For 1-hr accumulated precipitation, IDW was most suitable for expressing local rainfall effects.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.9 no.1
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• pp.13-19
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• 2004

We compared two different zooplankton data sets simultaneously obtained at the same place with different mesh-sized nets. Smaller mesh-sized net yielded less diverse zooplankton taxa. However, it was difficult to generalize the relationship between the size of the mesh of the net used and the length of the species list observed. It was not only because the sample sizes obtained by smaller mesh net were relatively smaller due to the clogging problem but also because smaller mesh net usually collected more tiny animals that were difficult to identify at lower taxonomic categories. In terms of abundances, on the other hand, the smaller and the larger mesh-sized nets collected smaller and larger-sized animals more effectively, respectively. The abundances of small sized animals were usually greater than those of large-sized animals by about an order of differences. Due to this different catchability of the nets, the community analyses based on Principal Component Analysis led to different results for the same community.

• Journal of the Korean Data and Information Science Society
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• v.23 no.5
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• pp.983-992
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• 2012

Social indicator survey can identify the state of society as a whole. When we create a policy, social indicator survey can reflect the public opinion of the region. Social indicator survey is an important measure of social change. Social indicator survey has been conducted in many municipalities (Seoul, Incheon, Busan, Ulsan, Gyeongsangnamdo, etc.). But, the result of social indicator survey analysis is mainly the basic statistical analysis. In this study, we propose a new data mining methodology for effective analysis. We propose a 3-step complex data mining in society indicator survey. 3-step complex data mining uses three data mining method (intervening association rule, clustering, decision tree).

• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.6D
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• pp.539-547
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• 2012

Increasing the mode transfer volume between public transportation modes has known to be necessary for efficiency improvement of public transportation system operation and it is also found to be important to have relevant transfer point selection with reflection of current travel pattern. This study is in regards to providing a selection guideline for the location of transfer point between public transport modes. This case study has been carried out for Daegu Metropolitan City especially for public transportation users behaviour by analysis of daily usage of transportation card to identify the transfer travel pattern. A cluster analysis was applied to categorize the pattern of transfer stop which induces many users and a discriminant analysis also utilized for grouping the stops by number of transfer trip. This research produces the estimation result of transfer volume for urban railway system no.3 in Daegu City which is currently under construction. In addition, the locations of transfer center has also been proposed.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.1136-1140
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• 2009

지상강우 관측망을 이용한 강우량 측정의 대안으로서 사용되는 기상 레이더를 활용한 강우량 추정의 경우, Z-R 방정식을 이용하여 반사도를 강우량으로 환산하는 방법을 일반적으로 사용한다. 이때 발생하는 각종 오차는 레이더 장비가 가지는 기계적인 오차뿐만 아니라 Z-R 방정식이 가지는 오차 등이 있으며, 이를 보정하기 위해서 레이더를 활용하여 추정된 강우량에 지상강우량계와 레이더강우량과의 비율인 G/R비를 보정하는 방법을 일반적으로 사용한다. 본 연구에서는 이와 같이 레이더 강우량을 보정하기 위해서 사용되는 G/R비를 산정하는데 미치는 지형적인 효과를 고려하기 위해서 광덕산 레이더 유효범위 100km 내(군사분계선 이북 미포함)의 지역에 대하여 군집분석을 실시하여 크게 산악지역과 평야지역으로 구분하고, 각각 구분된 지역에 대하여 G/R 비를 산정하여 초기추정 레이더 강우량에 곱하는 mean-field bias 보정을 실시하였다. 광덕산 레이더 기상관측소의 유효범위 100km 내의 2007년, 2008년 홍수기(6/21${\sim}$9/20)기간 동안 94개 Automatic Weather Station(AWS)지점에 대하여 크게 산악지역과 평야지역으로 지역화 시키는 방법은 비계층적 군집분석 기법 중 fuzzy-c mean 방법을 적용하였다. 또한 광덕산 레이더 반사도 기본 자료는 차폐영역으로 생기는 반사도 데이터 누락을 보완하기 위하여 0도와 1.5도 sweep 합성 10분단위 uf 자료를 사용하였으며, AWS와 보정이 이루어지는 레이더 격자의 크기는 최대 4km${\times}$4km로 선정하였다. 본 연구에 있어서 검증방법은 지역을 구분하기 전과 후를 AWS 실측 관측값과 절대상대오차, 평균제곱근 오차로써 비교하였다.

• Journal of the Korean Society for information Management
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• v.34 no.4
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• pp.101-126
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• 2017

Data Science is emerging as a closely related field of study to Library and Information Science (LIS), and as an interdisciplinary subject combining LIS, statistics and computer science in an attempt to understand the value of data by applying what LIS has been doing for collecting, storing, organizing, analyzing, and utilizing information. To investigate which subject fields other than LIS, statistics, and computer science are related to Data Science, this study retrieved 667 materials from Web of Science Core Collection, extracted terms representing Web of Science Categories, examined subject fields that are studying Data Science using descriptive analysis, analyzed the intellectual structure of the field by co-word analysis and network analysis, and visualized the results as a Pathfinder network with clustering created with the PNNC clustering algorithm. The result of this study might help to understand the intellectual structure of the Data Science field, and may be helpful to give an idea for developing relatively new curriculum.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.29 no.1
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• pp.71-83
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• 1996

Seasonal samples of demersal fish in Chonsu Bay were collected by an otter trawl from May 1991 to February 1992, and analyzed in terms of species composition, abundance and community structure. These data were compared with those obtained just after reclamation in 1986. The species composition of the demersal fish of the present study shows a similar seasonal trend to the previous one. However, the abundance in some species was changed. Gobiid fish such as Cryptocentrus filifer, Chaeturichthys stigmatias and Acanthogobius hasta were diminished, while Repomucenus lunatus, Leiognathus nuchalis and Sillago japonica were increased. This change in abundance of the fish seems to be related to sedimentation of fine particles and irregular discharge of freshwater with high organic content from the reservoir to the bay.

• Journal of the Economic Geographical Society of Korea
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• v.11 no.2
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• pp.175-191
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• 2008

In the early stage of industrial development, most of software companies were agglomerated at the CBD(Central Business Districts) in Seoul. However, the spatial distribution pattern of Korean Software industry has been changed according to the propagation of broadband, the change in rents, the governmental policy for industrial districts. In this research, using the software year book at 1997 and 2007, the emerging new pattern was analyzed using spatial clustering analysis. As a results of research, the spatial distribution was expanded in morphological changes. However, it was found that there was not a significant difference in a degree of accumulation. In the aspect of behavioral movement of companies, they tend to be relocated from the CBD to urban fringes and their movement is related to the product life cycle in selecting the clustered place.

• Journal of the Korean Data and Information Science Society
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• v.22 no.4
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• pp.619-630
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• 2011

In order to estimate an appropriate threshold and evaluate its performance for the data mixed with two different distributions, nine kinds of well-known classification accuracy measures such as MVD, Youden's index, the closest-to- (0,1) criterion, the amended closest-to- (0,1) criterion, SSS, symmetry point, accuracy area, TA, TR are clustered into five categories on the basis of their characters. In credit evaluation study, it is assumed that the score random variable follows normal mixture distributions of the default and non-default states. For various normal mixtures, optimal cut-off points for classification measures belong to each category are obtained and type I and II error rates corresponding to these cut-off points are calculated. Then we explore the cases when these error rates are minimized. If normal mixtures might be estimated for these kinds of real data, we could make use of results of this study to select the best classification accuracy measure which has the minimum error rate.