• Land and Housing Review
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• v.2 no.4
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• pp.539-552
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• 2011

This research thesis measured potential housing development of 250 'subway station areas' around Seoul Metropolitain Region, with the use of added weighting and data of each indicator based on AHP. The analysis was conducted on the ranking of the development of 'subway station areas' on the basis of measurement results of potential housing development along with the analysis on characteristics of 'subway station areas' in daily life zone. Cluster analysis-oriented analytic measurement results suggested that 'subway station areas' in Seoul Metropolitain Region can be grouped into five clusters: Cluster 1 and Cluster 2 were populated with 'reservation areas' for outside and inside urban development, respectively scoring low all in housing development pressure and capacity. Cluster 3 was populated with 'development maintenance areas', scoring low in housing development pressure but high all in housing development capacity. Cluster 4 was populated with 'development facilitation areas', scored high all in housing development pressure and capacity. Cluster 5 was populated with 'development control areas' scoring high in housing development pressure but low in housing development capacity.

• The Journal of Korean Association of Computer Education
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• v.22 no.5
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• pp.51-65
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• 2019

This study aims to provide educational implications for more strategic online software education by the types of online learning according to learners' self-regulated learning characteristics in the online software education environment and examining the characteristics of each type. For this, variables related to self-regulated learning characteristic were extracted from the log data of 809 students participating in the online software learning program of K University, and then analyzed using hierarchical cluster analysis. Based on hierarchical cluster analysis learner clusters according to the characteristics of self-regulated learning were derived and the differences between learners' learning characteristics and learning results according to cluster types were examined. As a result, the types of self-regulated learning of online software learners were classified as 'high level self-regulated learning type (group 1)', 'medium level self-regulated learning type (group 2)', and 'low level self-regulated learning type (group 3)'. The achievement level was found to be highest in 'high-level self-regulated learning type (group 1)' and 'low-level self-regulated learning type (group 3)' was the lowest. Based on these results, the implications for effective online software education were suggested.

• Journal of the Economic Geographical Society of Korea
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• v.23 no.4
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• pp.408-424
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• 2020

This study attempts to analyze the spatial clustering of survived and closed coffee shops based on the land price and land use for each coffee shop location. The locational characteristics of survived and closed coffee shops for each cluster type are identified through various locational properties such as transport factors (physical accessibility), shop properties (franchise information, newly open/closed business experience), and spatial density (kernel density estimation). To this end, we categorize the clusters of survived and closed coffee shops into three types (general locational distribution type, commercialization type of residential area and location type of commercial center), and then analyze their locational characteristics. As the result, we found that the locations of newly open and closed coffee shops show different distribution characteristics, even though they are classified into the same type due to the double sidedness of new open and closed locations. The results of this study can be provided as basic data for planning the location of coffee shop as well as regional commercial district.

• Korean Journal of Environment and Ecology
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• v.26 no.5
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• pp.719-729
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• 2012

Baekdudan has 670km long within South Korea, so the study for detail vegetation characteristics is needed. In this study, we surveyed the plant community structure from Daetjae to Baekbongryung for the next restoration and management plan. We designated 40 quadrats ($10m{\times}10m(100m^2)$ for this study. As a result of TWINSPAN, plant community separated 8 different communities such as Abies koreana comm., Pinus densiflora comm., Quercus mongolica comm. and Larix kaempferi comm. etc. Abies koreana comm. and Pinus densiflora comm. which is mainly located in the mountain ridge and near rocks are needed avoidance from the competition with Quercus mongolica comm. The possibility of atrophy of these communities is to be high, the protection is needed. Species diversity index was between 0.8046~1.1283. Most communities have multi-layer structure and have the ecological value of protection.

• Korean Journal of Environmental Biology
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• v.41 no.4
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• pp.530-538
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• 2023

This study conducted an investigation into the effects of fruit type and cultivation practices (organic and conventional) on soil characteristics and soil arthropod communities within apple, blueberry, grape, peach, and pear orchards. The collection of soil arthropod communities was achieved through the utilization of pitfall traps, with concurrent measurements taken for soil moisture content, electrical conductivity, and temperature. The findings of this study unveiled substantial impacts attributed to fruit type and cultivation practices on soil characteristics. Specifically, within organic apple orchards, discernibly higher levels of soil moisture content, electrical conductivity, and temperature were observed when compared to their conventional counterparts. The investigation into soil arthropod communities yielded a total of 1,527 individuals, classified in to five phyla and 15 orders. The range of abundance, species richness, and diversity indices varied across conventional and organic orchards. Cultivation practices were found not to exert a significant influence on soil arthropod community characteristics. However, Non-metric Multidimensional Scaling (NMDS) analysis indicated a significant differentiation in soil arthropod community structure based on cultivation practices. This study underscores the importance of considering vegetation structure and environmental characteristics that may influence soil arthropod communities comprehensively when assessing the impact of cultivation practices on soil arthropods. Furthermore, it emphasizes the need to account for both the characteristics and structure of soil arthropod communities in understanding the implications of cultivation practices on these organisms.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.950-951
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• 2019

시계열 데이터에 대한 군집화 관련 연구는 주로 통계 분석을 통해 이뤄지기 때문에 데이터가 갖는 특성을 완전히 반영하는 데 한계를 갖는다. 본 논문에서는 다변량 데이터에서의 군집화를 위하여 변수별로 시간에 따른 변화와 특징을 추출하기 위한 CNN-GRU(Convolutional Neural Network - Gated Recurrent Unit) 기반의 신경망 모델을 제안한다. CNN을 활용하여 변수별로 갖는 특성을 파악하고자 하였으며, GRU을 통해 전체 시간에 따른 소비 추세를 도출하고자 하였다. 지역별로 업종에 따라 사용된 2년 치의 실제 카드 데이터를 활용하였으며, 유사한 소비 추세를 보이는 지역을 군집화하는데 이를 적용하였다. 결과적으로, 다변량 시계열 데이터를 통해 전체적인 흐름을 반영하여 패턴화했다는 점에서 의의를 갖는다.

• Korean Journal of Environmental Biology
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• v.17 no.3
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• pp.233-247
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• 1999

A survey of syntaxa of vegetation of evergreen broad-leaved forests in Korea, class Camellietea japonicae is presented. 399 releve's were arranged two phytosociological tables, each representing an alliance. A synoptic table comprising all alliances is presented. The vegetation of evergreen broad-leaved forests is divided into three alliances including twelve new associations: (1) Querco - Castanopsion all. nov., split into four associations, Castanopsietum sieboldii, Quercetum acutae, Quercetum myrsinaefoliae and Litseetum japonicae; (2) Machilo-Camellion all. nov., separate into ten associations, Machiletum thunbergii, Pittosporetum tobirae, Aucubetum japonicae, Neolitsetum sericeae, Euryetum emarginatae, Elaeagnetum macrophyllae, Camellietum japonicae, Theo-Camellietom japonicae, Raphiolepietum umbellatae and Daphniphylletum macropodae; (3) Dendropanaco-Castanopsion sieboldii including one association, Hosto minoris-Castanopsietum sieboldii. The alliances are floristically and ecologically characterized and their distribution in Korea shown on the map.

• Annual Conference on Human and Language Technology
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• 1998.10c
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• pp.419-424
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• 1998

본 논문에서는 단어들의 분포적 특성을 이용하여 자동으로 단어를 군집화(clustering) 하는 기법을 제시한다. 제안된 군집화 기법에서는 단어들 사이의 거리(distance)를 가상 공간상에 있는 두 단어의 평균점에 대한 불일치의 합(total divergence to the average)으로 측정하며 군집화 알고리즘으로는 최소 신장 트리(minimal spanning tree)를 이용한다. 본 논문에서는 이 기법에 대해 두 가지 실험을 수행한다. 첫 번째 실험은 코퍼스에서 상위 출현 빈도를 가지는 약 1,200 개의 명사들을 의미에 따라 군집화 하는 것이며 두 번째 실험은 이 논문에서 제시한 자동 군집화 방법의 성능을 객관적으로 평가하기 위한 것으로 가상 단어(pseudo word)에 대한 군집화이다. 실험 결과 이 방법은 가상 단어에 대해 약 91%의 군집화 정확도와(clustering precision)와 약 81%의 군집 순수도(cluster purity)를 나타내었다. 한편 두 번째 실험에서는 평균점에 대한 불일치의 합을 이용한 거리 측정에서 나타나는 문제점을 보완한 거리 측정 방법을 제시하였으며 이를 이용하여 가상 단어 군집화를 수행한 결과 군집화 정확도와 군집 순수도가 각각 약 96% 및 95%로 향상되었다.

• Fire Science and Engineering
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• v.23 no.1
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• pp.15-20
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• 2009

For the effective management of forest fire, understanding of regional forest fire patterns is needed. In this paper, forest fire ignition and spread characteristics were analyzed based on forest fire statistics. Fire occurrences, burned area, rate of spread, and burned area per fire between 1991 and 2007 were parameterized for the cluster analysis, which results were displayed using GIS to detect spatial patterns of forest fire. Administrative districts such as cities and counties were classified into 5 clusters by fire susceptibility. Metropolitan areas had fire characteristics that were infrequent, slow rate of spread, and small burned area. However, 4 cities and counties showing fast rate of spread, and large burned area, in the eastern regions of Taeback Mountain range, were the most susceptible areas to forest fire. The next vulnerable cities and counties were located in the West and South Coast area.

• Proceedings of the Korean Statistical Society Conference
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• 2003.10a
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• pp.213-218
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• 2003

본 논문은 혁신수용에 대한 한국인들의 군집화에 관한 연구로서, 분류된 군집의 라이프스타일 등의 특성을 밝힐 것이다. 연구를 위해 2003년 6월 9일부터 27일까지 설문조사를 실시하였으며, Ward의 군집분석 방법을 이하여 분석하였다. Rogers가 혁신 수용에 관한 군집을 통계적 이론을 바탕으로 다섯 가지로 분류한 바 있으나 본 연구에서는 혁신층이 11%, 조기다수층이 24.4%, 후기다수층이 48.9%, 후발수용층이 15.7% 등 네 가지 군집으로 분류될 수 있음을 알 수 있었고, 이 군집들의 라이프스타일을 연구하였다. 또한 Rogers의 연구 결과와 비교해 볼 때, 조기수용층이 혁신층으로 흡수되었다. 이러한 결과는 두터운 혁신층을 바탕으로 신제품이나 새로운 서비스를 처음 받아들이는 계층이 넓다는 것을 의미하고, 우리나라에서는 신제품을 개발 시험할 수 있는 좋은 구조를 가지고 있음을 의미하고, 반면에 조기다수층이 혁신 수용에 신중함으로 보이고 있기 때문에 혁신의 확산에 높은 저항이 있음을 알 수 있다. 세계각국에서 적극적으로 추진하고 있는 초고속 인터넷 서비스 분야 성공은 다른 나라에 비해 서비스를 빠르게 수용하고 이 후 높은 품질의 서비스와 고객만족을 기업들에 요구하고, 기업들의 적절한 대응의 결과로 설명될 수 있다.