• Korean Journal Plant Pathology
• /
• v.12 no.2
• /
• pp.162-168
• /
• 1996

우리 나라의 주요 고추 재배지와 미국, 대만, 호주, 아르헨티나에서 수집된 44 개 고추 더뎅이병균(Xanthomonas campestris pv. vesicatoria)균주간의 유전적변이를 genomic DNA의 restriction fragment length polymorphism(RFLP)에 의해 분석하였다. Genomic DNA RFLP profiles을 cluster 분석하여 얻은 dendrogram에서 지리적 기원이 다른 44개 균주들은 11개 RFLP 그룹으로 분류되었다. 외국 균주들은 genomic DNA의 RFLP 분석에 의해 모두 각각 다른 RFLP 그룹으로 분류되었다. 외국 균주들 중에서 미국 균주는 우리 나라 일부 균주들과 밀접한 유전적 관련성을 가지고 함께 cluster를 이루었는데, 이것은 이 균주들이 동일한 고추 더뎅이병균의 조상 균주 집단에서 유래했으리라는 것을 시사해 준다. 우리 나라 균주들은 6개의 RFLP 그룹으로 분류되었다. 대부분의 우리 나라 균주들은 가까운 cluster를 이루며 미국 균주를 제외한 외국 균주들과 뚜렷하게 구분되었다. 그러나 우리 나라 균주들 중에서 마산에서 수집된 Ms93-1은 다른 우리 나라 균주들과 뚜렷하게 구분되었다. 유전적으로 격리된 균주의 출현은 우리 나라에서 지리적 기원이 다른 고추 더뎅이병균 균주 사이에 이미 발생한 다양한 유전적 분화의 결과라고 추론된다.

• Journal of Korea Society of Industrial Information Systems
• /
• v.9 no.4
• /
• pp.32-40
• /
• 2004

This study tried to analyze the characteristic data, gathered by the semantic differential method, of respondents, user manuals and agricultural machines with the traditional statistical approach, i.e., cluster analysis and factor analysis semantic differential methods. Though the existing papers of the traditional sensory engineering only suggested the fragmentary result of analysis, this study tries to analyze the data with step-by-step approach, in which this study is analyzing the data with cluster analysis to get the characteristics of respondents, and then using the factor analysis to condensing the adjectives of describing the manual characteristics into several components. Concludingly, this study suggested a prototype of analyzing the semantic differential data with using cluster analysis and factor analysis.

• The Journal of the Korea Contents Association
• /
• v.10 no.3
• /
• pp.364-372
• /
• 2010

The purpose of this study is to segment recreational forest's visitors for marketing based on purpose of visit. Using the factor analysis, cluster analysis, cross tab, and t-test to find out different behavioral intention in each clusters, the result elicited some implications. First, 2 clusters was founded and has difference in behavioral intentions. Cluster 1(married, 200~300hundred won income) has higher satisfaction, revisit intention, recommendation intention. The result shows that market researcher in recreational forest should approach different marketing strategy and has various facility, active program. This research need to survey broad region to generalized result.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.19 no.12
• /
• pp.480-490
• /
• 2018

This study investigated the profiles of anger expression (anger control, anger in, anger out) and their variation in forms, and determined the differences in depression, aggression, and negative affect intensity of middle school students. For this purpose, the survey responses of 296 middle school students in Seoul were analyzed. The major study results are as follows. (1) Cluster analyses yielded four anger expression profiles: cluster 1 was characterized by high scores for anger control, anger in and anger out, cluster 2 by low scores for anger control, high scores for anger in and anger out, cluster 3 by low scores for anger control, anger in and anger out, and cluster 4 by low scores for anger in, high scores for anger control and anger out. (2) Between-cluster differences in depression, aggression, and negative affect intensity were all significant. The posteriori test indicated that cluster 4 was higher than the other three clusters in terms of depression. Cluster 3 was higher than the other three clusters on aggression, cluster 2 was higher than cluster 4 in terms of aggression. The interventions by aggression expression cluster are discussed and the implications of this research to education and counseling are explained.

• Journal of Life Science
• /
• v.20 no.7
• /
• pp.1054-1065
• /
• 2010

SH21B is a natural composition composed of seven herbs: Scutellaria baicalensis Georgi, Prunus armeniaca Maxim, Ephedra sinica Stapf, Acorus gramineus Soland, Typha orientalis Presl, Polygala tenuifolia Willd and Nelumbo nucifera Gaertner (Ratio 3:3:3:3:3:2:2). In our previous study, we reported that SH21B inhibited adipogenesis and fat accumulation in 3T3-L1 cells through modulation of various regulators in the adipogenesis pathway. The aim of this study was to analyze the transcriptome profiles for the anti-adipogenic effects of SH21B in 3T3-L1 cells. Total RNAs from SH21B-treated 3T3-L1 cells were reverse-transcribed into cDNAs and hybridized to Affymetrix Mouse Gene 1.0 ST array. From microarray analyses, we identified 2,568 genes of which expressions were changed more than two-fold by SH21B, and the clustering analyses of these genes resulted in 9 clusters. Three clusters among the 9 showed down-regulation by SH21B (cluster 4, cluster 6 and cluster 9), and two clusters showed up-regulation by SH21B (cluster 7 and cluster 8) during the adipogenesis of 3T3-L1 cells. It was found that many genes related to cell proliferation and adipogenesis were included in these clusters. Clusters 4, 6 and 9 included genes which were related with adipogenesis induction and cell cycle arrest. Clusters 7 and 8 included genes related to cell proliferation as well as adipogenesis inhibition. These results suggest that the mechanisms of the anti-adipogenic effects of SH21B may be the modulation of genes involved in cell proliferation and adipogenesis.

• Atmosphere
• /
• v.16 no.4
• /
• pp.259-267
• /
• 2006

In the present study, the neural network (NN) model with cluster analysis method was developed to predict storm surge in the whole Korean coastal regions with special focuses on the regional extension. The model used in this study is NN model for each cluster (CL-NN) with the cluster analysis. In order to find the optimal clustering of the stations, agglomerative method among hierarchical clustering methods was used. Various stations were clustered each other according to the centroid-linkage criterion and the cluster analysis should stop when the distances between merged groups exceed any criterion. Finally the CL-NN can be constructed for predicting storm surge in the cluster regions. To validate model results, predicted sea level value from CL-NN model was compared with that of conventional harmonic analysis (HA) and of the NN model in each region. The forecast values from NN and CL-NN models show more accuracy with observed data than that of HA. Especially the statistics analysis such as RMSE and correlation coefficient shows little differences between CL-NN and NN model results. These results show that cluster analysis and CL-NN model can be applied in the regional storm surge prediction and developed forecast system.

• Journal of the Korea Society for Simulation
• /
• v.15 no.4
• /
• pp.87-96
• /
• 2006

Wireless Sensor Network (WSN) is researched in various filed. Underwater Sensor Network (UWSN) is used various purpose such as underwater environment monitoring. But, WSN is researched in the terrestrial that uses mainly radio frequency, The existing terrestrial research is incongruent to apply to underwater. Therefore, we propose UWSN architecture that considers underwater environment. In this paper, UWSN applied cluster technique and functional node constructs. Each cluster collects and sends cluster data. Dual super cluster head receives cluster data and transmits each in the base-station. We implement WSN routing algorithm, and construct test-bed and analyze cluster data receive rate.

• Journal of KIISE:Computer Systems and Theory
• /
• v.30 no.5_6
• /
• pp.290-298
• /
• 2003

Internet-based computer systems have to provide both high-availability and high-performance. Cluster technology has been used to obtain availability and performance simultaneously Generally, high-availability cluster systems tolerate a failure of a cluster node and cost-effectively solve it. In this paper, we study availability and downtime cost of (n,k) cluster systems. By considering performance, we model state transition of (n,k) cluster systems and apply software rejuvenation technique to improve availability of the system. We find that software rejuvenation can be used to improve availability of (n,k) cluster systems.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2016.10a
• /
• pp.435-437
• /
• 2016

Hadoop Distributed File System(HDFS) is a file system for distributed processing of big data by replicating data to distributed data nodes. HDFS cluster shows a great scalability up to thousands of nodes, but it assumes a exclusive node cluster with numerous nodes for the big data processing. Various operational-purpose worker systems used by office are hardly considered as a part of cluster. This paper discusses this problem and proposes a dynamic cluster management technique to increase storage capability and analytic performance of hadoop cluster. The propsed technique can add legacy systems to the cluster and can remove them from the cluster dynamically depending on their availability.

• Journal of Information Technology Applications and Management
• /
• v.26 no.1
• /
• pp.53-64
• /
• 2019

The purpose of this study is to find out the fast delivery route that several drones return a truck again after departing from it for delivery locations at each cluster while the truck goes through the cluster composed of several delivery locations. The main issue is to reduce the total delivery time composed of the delivery time by relatively slow trucks via clusters and the sum of maximum delivery times by relatively fast drones in each cluster. To solve this problem, we use a three-step heuristic approach. First, we cluster the nearby delivery locations with minimal number of clusters satisfying a constraint of drone flight distance to set delivery paths for drones in each cluster. Second, we set an optimal delivery route for a truck through centers of the clusters using the TSP model. Finally, we find out the moved centers of clusters while maintaining the delivery paths for the truck and drones and satisfying the constraint of drone flight. distance in the two-dimensional region to reduce the total delivery time. In order to analyze the effect of this study model according to the change of the number of delivery locations, we developed a R-based simulation prototype and compared the relative efficiency, and performed paired t-test between TSP model and the cluster-based models. This study showed its excellence through this experimentation.