• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.12
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• pp.3011-3016
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• 2015

Representing protein three-dimensional structure by concatenating a sequence of protein fragments gives an efficient application in analysis, modeling, search, and prediction of protein structures. This paper investigated the effective combination of distance measures, which can exploit large protein structure database, in order to construct a protein fragment library representing native protein structures accurately. Clustering method was used to construct a protein fragment library. Initial clustering stage used inter alpha-carbon distance having low time complexity, and cluster extension stage used the combination of inter alpha-carbon distance, Binet-Cauchy distance, and root mean square deviation. Protein fragment library was constructed by leveraging large protein structure database using the proposed combination of distance measures. This library gives low root mean square deviation in the experiments representing protein structures with protein fragments.

• Journal of Korean Society of Transportation
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• v.31 no.4
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• pp.85-94
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• 2013

The Continuous Risk Profile (CRP) has been well known to be the most accurate and efficient among existing network screening methods. However, the classical CRP uses safety performance functions (SPFs) which require a huge investment to construct a database system. This study aims to suggest a new CRP method using average crash frequencies of homogeneous groups, instead of SPFs, as rescaling factors. Hierarchical clustering analysis is performed to classify freeway segments into homogeneous groups based on the data of AADT and number of lanes. Using the data from I-880 in California, the proposed method is compared to other several network screening methods. The results show that the proposed method decrease false positive rates while it does not produce any false negatives. The method developed in this study can be easily applied to screen freeway networks without any additional complex database systems, and contribute to the improvement of freeway safety management systems.

• Journal of the Korean Association of Geographic Information Studies
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• v.21 no.3
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• pp.93-103
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• 2018

The purpose of this study is to analyze the spatial cluster characteristics of fire using long-term fire data. For this, fire data which were broke out in the last 40 years were converted into GIS data and spatial analysis was performed at Gangwon-do province's minimum administrative district level. In order to grasp the spatial distribution of the fire, Moran's I, Geary's Ci and Getis-Ord's Gi*, which are methods that analyze the local indicators of spatial association(LISA), were used. By integrating the characteristics of the spatial distribution of fire by integrating the results obtained from each analysis, the advantages of the individual analysis methods were reflected in the study results. As a result of the study, hotspot areas of fire in Gangwon-do was derived out. Among the hot spot areas, some areas, where the fire frequency is higher than the adjacent areas, have been identified. The results of this study can be used as information for predicting the fire hazard area and relocating of fire-fighting facilities in the study area.

• Journal of Korean Society of Forest Science
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• v.103 no.1
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• pp.12-22
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• 2014

This study was carried out to classify forest communities and to aggregate forest cover types for the complex and diversified natural forest areas of Hwangaksan, Bakseoksan, Deogyusan, and Jirisan in southern region of Baekdudaegan Mountains. The vegetation data were collected by point-centered quarter sampling method. Eight hundred fifty one sample points were subjected to cluster analysis to classify 18 forest communities, which were aggregated into 7 representative forest cover types on the basis of community similarity from composition of canopy species. They were mixed mesophytic forest cover type, the others deciduous forest cover type, Quercus variabilis-Quercus serrata cover type, Quercus mongolica cover type, Pinus densiflora cover type, Carpinus laxiflora cover type, and Abies koreana cover type. The Quercus mongolica cover type was most widely distributed in the study areas, and this cover type tended to occur in the place of higher altitude as latitude was getting lower. Mixed mesophytic forest and the others deciduous forest cover type were commonly distributed in the areas of valley, on the other hand, Quercus mongolica cover type and Pinus densiflora cover type tended to be distributed in the areas of ridge.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.742-742
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• 2012

한국건설기술연구원 하천실험센터는 이수, 치수, 환경을 조화시키는 하천기술을 개발하기 위하여 2009년 11월 경상북도 안동시 남후면 하아리 낙동강변에 준공되었으며 초당 8톤의 인공홍수발생이 가능한 3개의 실험수로와 유 출입수조, 다목적호수실험장, 저류지 및 연구동으로 이루어져 있다. 본 연구는 하천실험센터의 식생과 3가지 유형(본류형, 자연제방지류형, 인공제방지류형)의 인근 하천식생을 비교분석하여 하천실험센터의 현재 식생환경을 파악하고 차후 연구의 기초선 자료로 활용하기 위하여 수행되었다. 2011년 7월부터 9월 사이에 하천실험센터(급경사수로, 직선수로, 사행수로, 유출수조, 자연식생보존구간), 낙동강 본류, 상리천, 하아천에서 대표성을 갖는 장소 각각 1개 지소를 선정하여 식물상조사 및 식생단면조사를 진행하였으며 조사된 자료를 바탕으로 습생도, 교란도, 외래종율, 종다양성지수를 산출하였다. 또한 군집분석(Cluster Analysis)을 통하여 현재 하천실험센터의 식생환경이 타 조사지의 하천식생과 비교하여 어떤 유사성을 보이는지 확인하였다. 전체조사구간에서 총 108종류의 식물이 출현하였다. 3개의 실험수로는 수 습생식물의 종수가 일반하천의 수 습생식물의 종수보다 적었으며 반면에 육상식물의 종수는 더 많게 조사되었다. 또한 1 2년 식물의 경우 실험수로에서 더 많이 출현하였고 다년생초본과 목본은 소수였다. 하천실험센터의 자연식생보존구간의 경우 총 식물 종수 및 수 습생식물의 종수가 최대값을 나타내었고 식물상의 출현유무를 바탕으로 군집분석을 수행한 결과, 하천실험센터의 실험수로는 낙동강 본류, 상리천, 하아천과 유사도가 낮게 구분되었으며 자연식생보존구간은 낙동강 본류 및 상리천과 유사도가 높게 분류되었다. 하천실험센터의 실험수로는 준공당시 기존의 식생이 모두 제거된 상태에서 인위적으로 조성되었기 때문에 현재까지는 하천식생의 특징이 두드러지지 않으며 육상식생에 가까운 식생환경을 나타내고 있다. 자연식생보존구역의 경우 다양한 버드나무류와 초본류가 정착되어 있으며 타 대상지에 비하여 가장 뛰어난 생태성을 가지고 있다. 하천실험센터는 하천실험을 위한 장소이나 그 자체로 생태가치가 높으며 차후 생태연구, 홍보, 교육활동에 유용하게 활용할 수 있는 잠재력을 내포하고 있다.

• The Journal of the Korea Contents Association
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• v.9 no.6
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• pp.134-144
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• 2009

The purpose of this study was to verify the relationship of laptop purchasing behaviors based of Theory of Planned Behavior. The data collected from the 240 experience to that who used laptop computer, but was analyzed. With the collected data, factor analysis, K-Means analysis, correlation analysis, crosstabs analysis, and structural equation model analysis was performed by SPSSWIN 15.0 and AMOS 7.0. Factor and cluster analyses were used to segment the sample into four clusters. After analyzing the results, various relationships between attitudes, subjective norms, perceived behavioral control, behavioral intention were determined for the different groups.

• Proceedings of the Korean Statistical Society Conference
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• 2005.11a
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• pp.101-105
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• 2005

호남지역에 대한 대설특보 예보를 위한 통계모형 개발을 수행하였다. 일 신적설량에 따라 세법주(0: 비발생, 1: 대설주의보, 2: 대설경보)로 구분되는 순서형 자료 형태를 지니고 있다. 두가지 통계 모형(다등급 로지스틱 회귀모형, 신경회로망 모형)을 고려하였으며, 수치모델 출력자료를 이용한 역학-통계모형 기법의 하나인 MOS(model output statistics)를 적용하여 축적된 수치모델 예보자료와 관측치의 관계를 통계모형식으로 추정하여 예측모형을 개발하였다. 군집분석을 사용하여 훈련자료와 검증자료를 구분하였으며, 예보치 생성을 위하여 문턱치를 고려하였다.

• Proceedings of the KSRS Conference
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• 2000.04a
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• pp.149-154
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• 2000

분류기법을 통해 얻어진 원격탐사 자료는 사용되기 이전에 그 정확성에 관한 신뢰도 검증을 해야 한다. 분류 정확도를 평가하기 위해서는 오분류행렬(confusion matrix)을 사용하여 정확도 평가를 하게 되는데, 이때 오분류행렬을 구성하기 위해서는 기준자료(reference data)에 대한 표본추출이 이루어져야 한다. 기준자료의 표본을 추출하는 기법간의 비교 및 표본 크기를 줄이고자 하는 연구는 많이 이루어져 왔으난, 추출된 표본들간의 거리를 줄임으로써 정확도 평가 비용을 감소시키고자 하는 연구는 미미한 실정이다. 따라서, 본 연구에서는 프랙탈 분석을 통하여 기준자료의 표본을 추출하였으며, 이를 바탕으로 기존의 표본추출 기법과 정확도 차이 및 비용효과 측면을 비교 분석하였다. 연구 결과, 프랙탈 분석을 통하여 표본을 추출하는 기법은 그 정확도 추정에 있어 기존적 표본 추출 기법과 큰 차이가 보이지 않았으며, 추출된 화소들이 가까운 거리에 군집해 있어 비용효과측면에서 보다 유리함을 확인하였다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.4
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• pp.195-209
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• 2021

According to the 2019-2020 social media usage survey conducted by the Seoul e-commerce center, 5 out of 10 consumers have experienced shopping through social media. The cost of traditional advertising media has been reduced and advertising spending on social media has risen by 74%, indicating that social media is becoming a more important marketing element. While the number of users of social media has increased and corporate marketing activities have increased accordingly, research has been conducted in various aspects of marketing such as user motivation for social media, satisfaction, and purchase intention. There was no subdivided study on the differences in the social media usage frequency of consumers in actual purchasing behavior. This study attempted to identify differences in consumer characteristics by cluster in the agrifood purchase situation by grouping them by type according to the frequency of use of social media for consumers who purchase agri-food online. Product involvement, product need, and online purchase channel Consumer characteristics such as demographic distribution, perceived risk, and eating and lifestyle in each cluster were checked for the three agrifood purchase situations including choice, and types for each cluster were presented. To this end, questionnaire data on the frequency of social media use and online agrifood purchase behavior were collected from 245 consumers, and the validity of the measurement variables was secured through factor analysis and reliability analysis. As a result of cluster analysis according to the frequency of social media use, it was divided into three clusters. The first cluster was a group that mainly used open social media, and the second cluster was a group that used both open and closed social media and online shopping malls; The third cluster was a group with low online media usage overall, and the characteristics of each cluster appeared. Through regression analysis, the effect on product involvement, product need, and purchase channel selection when purchasing agri-food online through each of the three clusters was confirmed through regression analysis. As a result of the regression analysis, the characteristic of cluster 1 in the situation of purchasing agri-food online is a male in his 30s living in a rural area who has no reluctance to purchase agri-food on social media or online shopping malls. The characteristics of cluster 2 are mainly consumers who are interested in purchasing health food, and the consumer characteristics are represented. In the case of cluster 3, when purchasing products online, they purchase after considering quality and price a lot, and the consumer characteristics are represented as people who are more confident in purchasing offline than online. Through this study, it is judged that by identifying the differences in consumer characteristics that appear in the agri-food purchase situation according to the frequency of social media use, it can be helpful in strategic judgments in marketing practice on social media customer targeting and customer segmentation.

• Journal of Korean Society of Transportation
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• v.24 no.4 s.90
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• pp.103-113
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• 2006

Market Segmentation for Freight Transportation has been used to know the strategies both efficiency of freight transportation market and attraction of freight volume for carriers. It was so difficult to understand the individual preference of shippers that all shippers could be only homogenized through market segmentation. In Korea. standard Industrial classification has been used for freight market segmentation. This study evaluated another new market segmentation method for manufacturing industry. From the study, we knew that the best relevant market segmentation criterion was annual input-output volume, which showed excellent segmenting ability. Also. the results showed many differences against segmentation results according to standard industrial classification. This study had a meaning as a new trial which segmented freight transportation market using company size and shipment characteristic data.