• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.3D
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• pp.347-356
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• 2009

This paper is described clustering analysis of traffic characteristics-based highway classification in order to deviate from methodologies of existing highway functional classification. This research focuses on comparing the clustering techniques performance based on the total within-group errors and deriving the optimal number of cluster. This research analyzed statistical clustering method (Hierarchical Ward's minimum-variance method, Nonhierarchical K-means method) and Kohonen self-organizing maps clustering method for highway characteristic classification. The outcomes of cluster techniques compared for the number of samples and traffic characteristics from subsets derived by the optimal number of cluster. As a comprehensive result, the k-means method is superior result to other methods less than 12. For a cluster of more than 20, Kohonen self-organizing maps is the best result in the cluster method. The main contribution of this research is expected to use important the basic road attribution information that produced the highway characteristic classification.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.4
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• pp.107-121
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• 2017

This study conducted a 3-stage survey and simulation experiment to identify the impact of vehicle platoons on car-following behavior of manually-driven vehicles. Vehicle maneuvering data obtained from driving simulations was statistically analyzed based on three measures including average speed, acceleration noise, and offset to represent the deviation of lateral movements. Results indicate that MV drivers tended to have psychological burden while driving in automated vehicle platooning environments, which resulted in different vehicle maneuvers. It is expected that the outcome of this study would be useful fundamentals in developing various traffic operations strategies for managing mixed traffic stream consisting of MVs and autonomous vehicles.

• Journal of the Korean Data and Information Science Society
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• v.28 no.5
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• pp.1133-1144
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• 2017

Cluster analysis with meteorological data allows to segment meteorological region based on meteorological characteristics. By the way, meteorological observed data are not adequate for cluster analysis because meteorological stations which observe the data are located not uniformly. Therefore the clustering of meteorological observed data cannot reflect the climate characteristic of South Korea properly. The clustering of $5km{\times}5km$ gridded data derived from a numerical model, on the other hand, reflect it evenly. In this study, we analyzed long-term grid data for temperatures and precipitation using cluster analysis. Due to the monthly difference of climate characteristics, clustering was performed by month. As the result of K-Means cluster analysis is so sensitive to initial values, we used initial values with Ward method which is hierarchical cluster analysis method. Based on clustering of gridded data, cluster of meteorological stations were determined. As a result, clustering of meteorological stations in South Korea has been made spatio-temporal segmentation.

• Journal of Korean Society for Geospatial Information Science
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• v.18 no.1
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• pp.83-88
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• 2010

This paper has analyzed Seoul metropolitan area on the basis of cluster characteristics and it is to understand the traits of each clusters. In order to modelize the area, 10 different indicators were selected among components of a city such as population, activities, land and facilities. Also through principal component analysis, similar characteristics or congenialities of the variables were derived as a common factor. The result was organized by factor score from hierarchical clustering method and as a final result, metropolitan area was clustered into five areas.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2020.08a
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• pp.61-61
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• 2020

본 연구는 우리나라 임상 중에서 침엽수림과 침활혼효림으로 구성된 산양삼 시험포지를 선정하고, 임상별 토양의 토양세균군집을 분석하여 산양삼 생육특성과의 상관관계 구명하고자 수행하였다. 산양삼 시험포지는 침염수림으로 구성된 충주 산양삼 종자공급단지와 침활혼효림으로 구성된 함양 산양삼 종자공급단지를 선정하여 각각 조성하였다. 토양세균군집 분석은 pyrosequencing analysis (Illumina platform)를 이용하였고, 토양세균군집과 생육특성 간의 상관관계는 Pearson's correlation을 이용하여 분석하였다. 임상별 시험포지의 토양세균은 두 시험포지 모두 Acidobacteria가 우점종으로 확인되었다. 주좌표 분석을 통해 임상별 산양삼 시험포지에서 우점하는 토양세균 군집을 확인한 결과, 먼저 토양세균 군집은 임상별 시험포지에 따라 군집화를 이루는 것으로 확인되었고, Pearson's 상관관계 분석 결과, 토양세균 군집의 상대적 빈도수는 수종 비율에 따라 상이한 상관관계를 보이는 것으로 확인되었다. 이 중에서 Proteobacteria, Alphaproteobacteria, Actinobacteria_class, Phycisphaerae는 침엽수의 비율과 유의적인 정의 상관관계를 보였고, Nitrospirae, Chlamydiae, Planctomycetia, Acidobacteria_6는 활엽수의 비율과 유의적인 정의 상관관계를 보이는 것으로 나타났다. 또한 임상별 산양삼 시험포지의 토양세균 군집과 산양삼 생육특성 간의 상관관계를 분석한 결과, Nitrospirae, Chlorobi, Planctomycetia, Acidobacteria_6가 산양삼의 생육과 유의적인 정의 상관관계를 보였다. 본 연구결과를 바탕으로 다양한 산림환경에서 토양세균군집과 산양삼 생육특성 간의 상관관계를 명확하게 구명할 수 있다면 향후 산양삼의 최적 재배지를 선정하는데 있어 도움을 줄 수 있을 것으로 사료된다.

• Korean Journal of Environment and Ecology
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• v.12 no.3
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• pp.236-241
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• 1998

This study was to compare soil characteristics among Quercus mongolica communities that characterize the boreal-temperate deciduous forest in Korea. The classification of Quercus mongolica community and soil sampling were carried in Mt. Odae and Mt. Jungwang in Kangwondo from April of 1991 to October of 1994. The study area was classified as 5 Quercus mongolica communities with Braun-Blanquet method as follows; Quercus mongolica - Abies nephrolepis, Quercus mongolica - Acer pseudosieboldianum, Quercus mongolica - Lindera obtusiloba, Quercus mongolica - Acer mandshuricum, and Quercus mongolica - Carpinus cordata communities. Quercus mongolica - Abies nephorolepis community had the most shallow depth of A horizon(5cm) among communities, and root penetration was mainly from 0 to 10cm soil depth, and they had a dry soil moisture condition. Depth of A horizon of Quercus mongolica - Lindera obtusiloba and Quercus mongolica - Acer mandshuricum communities was about 20cm, and root penetration was mainly from 0 to 20cm soil depth, and they had a slightly dry soil moisture condition. Quercus mongolica - Acer mandshuricum, and Quercus mongolica -Carpinus cordata communities had the deepest depth of A horizon(35cm) and root was well developed over 45cm, and they had a moderately-slight dry soil condition. The soil organic matter, total N, exchangeable Ca, Mg and K concentration and CEC was the greatest in Quercus mongolica-Acer mandshuricum community and Quercus mongolica-Carpinus cordata community among communities. Quercus mongolica - Abies nephyolepis community had the smallest soil organic matter, total N, and CEC among communities. There were large differences among Quercus mongolica communities by soil properties and the result may be due to different habitat positions in the landscape among communities.

• Journal of The Korean Association For Science Education
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• v.42 no.6
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• pp.611-619
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• 2022

The purpose of this study is to explore the possibility of applying big data analysis to provide appropriate feedback to students using evaluation data in science education at a time when interest in educational data mining has recently increased in education. In this study, we use the evaluation data of 2,576 students who took 24 questions of the national assessment of educational achievement. And we use K-means cluster analysis as a method of unsupervised machine learning for clustering. As a result of clustering, students were divided into six clusters. The middle-ranking students are divided into various clusters when compared to upper or lower ranks. According to the results of the cluster analysis, the most important factor influencing clusterization is academic achievement, and each cluster shows different characteristics in terms of content domains, subject competencies, and affective characteristics. Learning motivation is important among the affective domains in the lower-ranking achievement cluster, and scientific inquiry and problem-solving competency, as well as scientific communication competency have a major influence in terms of subject competencies. In the content domain, achievement of motion and energy and matter are important factors to distinguish the characteristics of the cluster. As a result, we can provide students with customized feedback for learning based on the characteristics of each cluster. We discuss implications of these results for science education, such as the possibility of using this study results, balanced learning by content domains, enhancement of subject competency, and improvement of scientific attitude.

• Proceedings of the Technology Innovation Conference
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• 2005.06a
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• pp.69-91
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• 2005

나노 기술은 국가와 기업 차원에서 전략적으로 활발하게 연구, 개발되고 있는 분야로 기술과 산업 전 분야에 걸쳐 있으며 계속 확대되고 있다. 이중 탄소나노튜브는 약 10년여 전부터 활발히 연구되고 있으며, 소재, 소자 등 나노 기술의 전 분야에 걸쳐서 적용될 수 있는 물질로 현재까지 실용화된 기술이나 제품이 많이 나오지는 않았으나 앞으로 다양한 적용분야가 창출될 전망이다. 그러나 전략적인 기술 개발을 위한 연구는 미비한 실정이다. 전략적이고 효과적인 기술 개발의 대안으로 특허 분석(patent analysis)이 제시되고 있으며 나노 기술에 대한 전반적인 특허 분석은 각 기업 연구소나 국가 연구소에서 진행되어 왔으나, 여기서 도출된 정보만으로는 전략적인 문제들을 분석하기에는 미흡하였다. 따라서 전략적인 기술 개발을 위한 특허 분석의 필요성이 제기되고 있다. 이에 본 연구에서는 특허의 인용(citation) 정보를 이용하여 특허와 특허 사이의 관계를 분석하고 이를 바탕으로 관련된 특허를 군집화(clustering) 하여 각 군집의 특성을 살펴보았다. 먼저 탄소나노튜브에 관한 특허를 USPTO 자료를 통해 추출하고, 이 특허들이 인용한 특허들을 추출하여 각 특허들이 어느 정도로 관련이 되어 있는가를 상관 행렬(correlation matrix)을 이용하여 조사하였다. 인용 특허의 분석은 기초 기술 분야에 이르기까지 광범위하게 조사하여 기술별로 특허를 군집화 하였을 뿐만 아니라, 특허 출원인 정보도 활용하여 군집화 하였다. 이를 통하여 기술별, 특허 출원인 별로 특허의 군집을 만들어서 각 군집의 특성을 도출하였고, 마지막으로 각 군집의 특성에 맞게 기술 개발측면에서 전략적인 시사점을 도출하였다. 각각의 군집들은 시간이 지날수록 확대, 통합되는 결과를 보이고 있으며, 융합기술화 되고 있다. 군집을 이루는 주요한 특성으로는 출원인 정보가 큰 비중을 차지하였으며, 이는 출원인의 기술 개발 전략과 이에 따른 기술개발경로나 특허 전략과 관련이 있는 것으로 나타났다. 다양한 기술에 관하여 군집의 크기가 계속 확대되고 있는 경향을 보이고 있기 때문에, 앞으로 지속적인 연구를 통하여 향후 특허 관리와 특허 전략에 적용할 수 있도록 하는 것이 중요하다.

• 한국해양학회지
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• v.24 no.3
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• pp.148-156
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• 1989

This investigation was performed in eutrophic lake within the framework of a series of studies to evaluate the significance of gram reaction for both bacterioplankton and attached bacteria in the dynamics of organic materials at various aquatic ecosystems. In Lake Kasumigaura as a representative of the highly eutrophic freshwater environments, the gram-stain characteristics of the bacterial community changed with the influx of pulses of phytoplankton, as those in the meso trophic environments. The predominency of the gram-negative forms in the bacterial community was about 57% for bacterioplankton and about 53% for attached bacteria. The statistical analysis of the difference of these two distributions showed that these communites were different. Both gram-negative and gram-positive bacteria attached to particles were shown to effect the formation and degradation of particulate organic matter. Gram-negative bacteria plankton participate exclusively in the dynamics of dissolved organic matter.

• The Journal of the Korea Contents Association
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• v.14 no.6
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• pp.93-107
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• 2014

Recently Korean film industry has continuously experienced a rapid growth and expanded its influence to foreign countries. Accordingly, there have been numerous studies in various research areas to investigate the characteristics of the industry. In this study, we applied social network analysis based on the attributes such as genres, ratings, distributors, nationalities, sizes, and profitability to divide the movies into several clusters with respect to their similarity. Results suggested that the ratings and nationality rather than the genre are the major factors to divide the motion picture market into clusters and the profitability also varies much across the clusters. Furthermore, estimation of the diffusion model showed the positive relationship between the success of a movie and the word-of-mouth effect, while the relatively unsuccessful titles exhibited a monotonic decreasing diffusion pattern with the high initial demand and the early peak time.