• 한국버섯학회지
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• 제7권3호
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• pp.98-104
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• 2009

인공재배된 만가닥버섯(Hypsizygus mamoreus)과 잿빛 만가닥버섯(Lyophyllum decastes)을 ITS $I{\cdot}IV$ 부위의 염기서열에 의해 종속간 유연관계 및 RAPD 다형성을 분석하였다. ITS $I{\cdot}IV$영역부위 종속간 유연관계에서 Group1 (SPA 100, 101, 102)은 만가닥버섯에 속하였으며, Group2 (11균주) 잿빛만가닥버섯의 대조 분리군 11균주는 동일한 종으로 동정되었다. ITS결과 14개 균주 시 4개 그룹으로 분류되었으며, Cluster I과 Cluster II는 58%의 유사도를 Cluster III과 Cluster IV는 41%의 유사성을 보였다. 또한 인공 재배한 잿빛만가닥버섯의 종 다양성을 분석하기위해 RAPD를 수행한 결과 가장 수량이 양호하며 우량계통인 SPA 202는 잿빛만가닥버섯인 Lyophyllum decastes SPA 203과 그룹화 되었으며 75%의 유사성을 보여주었고, Lyophyllum decastes 공시균주인 SPA 103과 SPA 104의 유사성은 65%로 나타났다.

• 대한지역사회영양학회지
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• 제5권1호
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• pp.83-91
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• 2000

The aims of this study are to evaluate the quality of hospital food services and the evaluate the quality in selected hospitals trough the use of the questionnaires. A survey of 30 hospital food and nutrition service department was undertaken and detailed information was collected from each, including, surveys of 1, 016 patient. Statistical data analysis was completed using the SAS/win 6.11 package for descriptive analysis, t-test X$^2$-test ANOVA principal component analysis , and cluster analysis and cluster analysis. In the case of patient satisfaction with hospital food and food services, overall satisfaction scores of male and female were 3.54 and 3.45 showing higher levels than the average score(3.00) The aspect of the food and food service which received the lowest ratings by patients was 'meal rounding while dining'. After conduction of factor analysis of variables affecting the patients meal satisfaction 3 groups including the 'menu satisfaction factor', 'service satisfaction factor ' and 'nutrition management satisfaction factor ' were selected. 3 clusters were categorized by the 'service cluster' 'nutrition management cluster', 'men cluster', and 'menu nutrition service cluster' after conducting a cluster analysis with influencing variables affecting patients meal satisfaction. The overview results of patient satisfaction by cluster were : in the case of the service group, such factors as taste, portion size, dealing with complaints while dining meal rounding while dining should be managed with caution In case of the nutrition management group, such factors as taste, portion size, temperature of the food intake, and dependence on hospital food should be managed with care, In the case of the menu groups, such factors as punctuality of meal times, contaminated substances in meals and serving mistakes, cleanliness of dishes, kindness of the server meal rounding while dining should by particularly managed with importance.

• 환경영향평가
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• 제13권3호
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• pp.137-151
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• 2004

Many of today's environmental problems are regional in scope and their effects overlap and interact. The purpose of this paper is to developed a simple method for an integrated assessment of environmental conditions across the Mid-Nakdong River Region, by combining data on land use, impervious cover, roads, streams, riparian areas, forest patches, population, pollutant loadings, soil erosion and topography. A cluster analysis was used to identify groups of sub-watersheds with similar environmental characteristics. The mean value for each group was used to find watershed that may be more vulnerable to future environmental degradation. Watersheds in cluster I and II had high amount of forest, but the amount of riparian vegetation was low. Watersheds in cluster III, which located in the middle Geumho River and the main course of Nakdong River, had a greater proportion of their agriculture, a greater proportion of agriculture on steep slopes, and less forest adjacent to streams. Watersheds in cluster IV and V were in the most urbanized areas of the region. The principal adverse impacts for watersheds in this group were high scores for urban area, impervious cover, pollutant loadings, population density, forest fragmentation, and low amounts of forest and riparian forest cover. Notwithstanding the exploratory nature of cluster analysis, it appears to be a useful tool for grouping watersheds with similar environmental characteristics.

• 한국어류학회지
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• 제36권2호
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• pp.174-181
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• 2024

전라남도 여수 동부연안에서 2020년 9월부터 2021년 8월까지 월별로 3개의 정점에서 이각망을 이용하여 어획되는 어류의 군집 특성에 관하여 연구하였다. 채집된 어류는 총 7목 28과 43종 4,539개체로 그중 숭어(Mugil cephalus)가 654개체 (14.4%)를 차지하여 가장 우점하였고, 다음으로 전어(Konosirus punctatus)가 497개체 (10.9%), 농어 (Lateolabrax japonicus)가 377개체 (8.3%), 감성돔 (Acanthopagrus schlegelii)이 360개체 (7.9%), 보구치 (Pennahia argentata)가 326개체 (7.2%)를 차지하였다. 군집구조에서 월별 종다양도지수는 2.075~2.888로 8월에 가장 높았고, 1월에 가장 낮았으며, 우점도지수는 0.178~0.524로 3월에 가장 높았고, 12월에 가장 낮았다. 계층 군집분석(HCA) 결과, 조사시기별 어류 군집은 Bray-Curtis 유사도에 따라 총 3개의 그룹으로 나타났다. Group 1은 6월에서 10월로 전어(Konosirus punctatus), 병어(Pampus punctatissimus), 전갱이 (Trachurus japonicus) 등이 주로 채집되어 하나의 cluster를 형성하였고, Group 2는 11월부터 2월로 겨울철 산란종인 문치가자미(Pseudopleuronectes yokohamae), 청어 (Clupea pallasii), 쥐노래미 (Hexagrammos otakii) 등이 속해 하나의 cluster를 형성하였다. Group 3은 3월에서 5월로 참조기(Larimichthys polyactis), 도화망둑(Amblychaeturichthys hexanema), 볼락 (Sebastes inermis) 등이 속해 하나의 cluster를 형성하였다. 이 연구가 진행된 여수 동부연안은 경제성이 높은 어종뿐만 아니라 다양한 수산자원들이 출현하는 것을 보아 수산자원의 서식에 적합한 해역이며, 많은 어종들의 산란 및 성육장으로써 중요한 위치를 차지하고 있는 것으로 생각된다.

• 한국경영과학회지
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• 제32권1호
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• pp.61-75
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• 2007

The purpose of this paper is to develop a new group classification method based on genetic algorithm and to com-pare its prediction performance with those of existing methods in the area of bond rating. To serve this purpose, we conduct various experiments with pilot and general models. Specifically, we first conduct experiments employing two pilot models : the one searching for the cluster center of each group and the other one searching for both the cluster center and the attribute weights in order to maximize classification accuracy. The results from the pilot experiments show that the performance of the latter in terms of classification accuracy ratio is higher than that of the former which provides the rationale of searching for both the cluster center of each group and the attribute weights to improve classification accuracy. With this lesson in mind, we design two generalized models employing genetic algorithm : the one is to maximize the classification accuracy and the other one is to minimize the total misclassification cost. We compare the performance of these two models with those of existing statistical and artificial intelligent models such as MDA, ANN, and Decision Tree, and conclude that the genetic algorithm-based group classification method that we propose in this paper significantly outperforms the other methods in respect of classification accuracy ratio as well as misclassification cost.

• Journal of Microbiology
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• 제34권2호
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• pp.105-116
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• 1996

Of actinomycetes isolated from volcanic compost soils, 115 representative strains which showed distinctive morphologicla features were numerically classified, compared with reference strains of Streptomyces. One hundred and twenty unit characters were tested and the average probability of error was 4.27%. The cluster analysis resulted in two groups: group A included strains of actinomycetes except streptomycetes. Group A was divided into 2 major clusters (over 5 strains), 10-diaminopimelic acid. Group B was divided into 5 clusters, of which 4 clusters contained mesodiminopimelic acid and 1 cluster LL-diaminopimelic acid. The major clusters of group A showed higher abilities of substrate utilization and degradation, and higher resistance to inhibitors, whereas the minor and single member clusters of group A showed relatively higher antimicrobial activities. On the other hand, all clusters of group B showed relatively lower abilities of substrate utilization and degradation and lower resistance to inhibitors.

• Journal of the Korean Data and Information Science Society
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• 제19권2호
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• pp.451-461
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• 2008

In this study, factor and cluster analysis have been conducted to group the differences in Korean view on national economic policy in the sample of the 2006 Korean General Social Survey (KGSS). According to the 2006 KGSS, the 6 items with a 5-point Likert scale include the questions about whether or the extent to which each respondent supports the specific types of governmental economic policy. In our study, at first, the factor analysis has converted the original 6 items into the 3 composite variables that account for 81% in the total variability. As the second step of factor analysis, factor scores have been computed. Then, the K-means cluster analysis based on the factor scores has been conducted to group the survey respondents into the 3 clusters. In particular, the cross-tabulation analysis has shown that the distribution of the 3 clusters varies with the respondents' socio-demographic characteristics.

• 아동학회지
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• 제37권3호
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• pp.135-146
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• 2016

Objective: This study explored the creative thinking styles of children according to cluster analyses and examined group differences in language ability, cognitive ability, and peer relationships. Methods: The study used the data from the 2012 Panel Study of Korean Children by the Korea Institute of Child Care and Education. The participants comprised 1,681 4-year-olds. Data were analyzed via cluster analyses, ${\chi}^2$ distributions, and ANOVA tests. Results and Conclusion: The results from the cluster analyses based on percentiles of the subfactors of K-FCTYC (Korean Figural Creativity Test for Young Children) indicated four clusters: "divergent creative with openness," "non-creative," "divergent creative," and "multiple creative." Additionally, the four clusters differed by gender, language ability, cognitive ability, and peer relationships.

• 센서학회지
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• 제19권5호
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• pp.342-348
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• 2010

The wireless sensor networks have been extensively researched. One of the issues in wireless sensor networks is a developing energy-efficient clustering protocol. Clustering algorithm provides an effective way to extend the lifetime of a wireless sensor networks. In this paper, we proposed an energy efficient clustering scheme by adjusting group size. In sensor network, the power consumption in data transmission between sensor nodes is strongly influenced by the distance of two nodes. And cluster size, that is the number of cluster member nodes, is also effected on energy consumption. Therefore we proposed the clustering scheme for high energy efficiency of entire sensor network by controlling cluster size according to the distance between cluster header and sink.

• 한국유기농업학회지
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• 제25권1호
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• pp.1-22
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• 2017

The purpose of this research is to analysis actual condition of promoting complex industrialization and changes after promoting, and then to classify organic farmer using cluster analysis based on delineated organic farmer's changes factors. This study also aims to investigate differences in socioeconomic characteristics and behavioral intentions among classified groups of organic farmer's changes. Data were obtained by questionnaire. From the factor analysis, four factors were derived as "Economics", "Public benefit", "Environment and philosophical values" and "Establishing management and the regional bedrock". From the cluster analysis, three cluster were derived as "group that has a positive awareness of promoting complex industry", "group that has a negative awareness of promoting complex industry" and "unstable management and a regional base". And the three classifications were significantly different in the satisfaction and behavioral intentions.