• Korean Journal of Environmental Biology
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• v.40 no.2
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• pp.125-137
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• 2022

To assess the characteristics of meiofaunal community fluctuations related to environmental factors, seasonal surveys were conducted in the subtidal zone of Hallyeohaesang National Park. The average depth of the study area was about 20 m, and the average water temperature at the bottom was low in winter(11.33℃) and high in summer(17.95℃). The sedimentary particles mainly comprised silt and clay at most stations. The abundance of meiofauna ranged from 81.7 to 1,296.5 Inds. 10 cm^-2, and the average abundance was 589.3 Inds. 10 cm^-2. The average abundance of meiofauna in each season was the lowest at 416.5 Inds. 10cm^-2 in winter and the highest at 704.5Inds.10 cm^-2 in spring. The dominant taxa were nematodes (about 92%) and harpacticoids (about 5%). In the cluster analysis of meiofaunal communities, they were divided into four significant groups. The largest group mainly contained spring and summer samples, and contained stations with a high nematode density of over 500 Inds. 10 cm^-2 and harpacticoids below 50 Inds. 10 cm^-2 with a high composition ratio of nematodes. In the cluster analysis, no regional division was found between the stations, and it was thought to be divided by the seasons with high abundance according to seasonal variation and the composition ratio of nematodes and harpacticoids. In the Spearman rank correlation analysis, the density of total meiofauna and the most dominant taxa, nematodes, was not significantly related to environmental factors. However, the density of harpacticoids had a significant positive correlation with water depth and a negative correlation with sediment particle size.

• Korean Journal of Environment and Ecology
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• v.29 no.4
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• pp.516-524
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• 2015

This study was characteristics of bird community conducted to from 2009 to 2010 in Sihwa South Grassland, Gyeonggi-do, Korea. Total 49 species were recorded and the sum of maximum counts was 2,258 individuals. Species diversity was 2.21 and the species richness was 6.22. In South Reclaimed, we recorded maximum score of 38 species. and maximum score of 1,083 individuals in Dinosaur Egg Fossil. Comparison between areas were use average species diversity and species richness. Mostly Dinosaur Egg Fossil and South Reclaimed were higher than Sihwa Lake upstream. As a results of the ANOVA test, all areas were different. also, Sihwa Lake upstream only difference was that the bird community. In the season there was a significant difference between the Number of species and species richness. Number of species and species richness were significant differences depending on the season. but individuals and species diversity were no significant differences. In the year there was a no significant difference between the Number of species and individuals. but species diversity and species richness were significant differences. As a result, Between areas was different patterns of bird communities. but including water space Dinosaur Egg Fossil and South Reclaimed were showed a similar bird communities and bird diversity was higher. In the season, the resident was using of consistent patterns. but, There were differences depending on the migratory patterns of populations. In the year, every year was communities of a similar patterns. Sihwa South Grassland is of the high conservation value ecosystem as the only domestic. Propose an opinion for maintaining biodiversity when planning future habitat composition and environmental decrease.

• Korean Journal of Environmental Biology
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• v.35 no.2
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• pp.143-151
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• 2017

This study illustrates changes in the epilithic diatom assemblages in response to urban climatic conditions. We further assess the impact of abnormal urban climate to the urban stream environment. Epilithic diatoms, water chemical and physical variables were sampled every quarter, and assessed at 3 Oncheon stream sites, for a period of two years(from 2013~2014). The variation of physiochemical properties such as BOD, COD, T-N and T-P, show that the water quality was strongly influenced with long periods of drought and flood disturbance. Epilithic diatom assemblages were separated along the stream sites; however, the physical disturbance from urban drought and stormwater changed the composition of diatom assemblages instead of decreasing the taxonomic richness. Thus, our results suggest that epilithic diatom assemblages are altered in response to urban climatic changes, resulting in variations of stream conditions. Hence, strategies of climate change adaptation are required when considering urban stream environments.

• Journal of the Korean Data and Information Science Society
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• v.26 no.4
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• pp.841-856
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• 2015

Thirteen types of business and sixteen administrative districts in Korea are categorized and segmented based on their similarities and visually plotted on multidimensional space. The similarities are determined by five characteristics of quantitative evaluation (simplified process of trading, reduced price, direct contact with supplier, faster process of trading, et cetera). Hence, domestic types of business and administrative districts can be categorized into certain clusters. Also, forms and characteristics of types of business and administrative districts can be evaluated between and within the clusters.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.13 no.6
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• pp.34-42
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• 2014

This study is a fundamental research to determine the emergency evacuation roads considering road network function and connectivity. First of all, the functional aspects of the road networks are analyzed in the target area, Sejong city, by using degree centrality(DC) and closeness centrality(CC) from GIS based database. Secondly, how network connectivity makes a change in user's travel pattern and travel time and how it affects the whole network are analyzed using TransCAD simulation program. Finally, after performing cluster analysis of index, first and second emergency evacuation roads are determined by judging the characteristics of clusters. The results of this research will be helpful for making a decision to diminish secondary damages when confronting unexpected disasters.

• Culinary science and hospitality research
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• v.16 no.2
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• pp.232-242
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• 2010

The purpose of this study is to provide basic data for forthcoming liquor development and market diversification by finding out the consumers' characteristics related to their patterns of choosing liquor and identifying the liquor consuming patterns. For the study, a survey questionnaire was composed of 11 questions related to the considerations by the consumers in choosing liquor, 5 questions on their demographics, and 5 questions on the types of choosing liquor. The survey was conducted between October 21st and November 1st of 2007 to 400 adults over 19 years old residing in Korea, and then sorted out 377 out of 400 for the analysis. As for the analysis, frequency analysis, K-means clustering, and correspondence analysis were employed. In order to find out the choice considerations associated with the perception of liquor, consumers were divided into four equivalent groups, and liquor consuming patterns and demographics were investigated based on the empirical study.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.3
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• pp.217-222
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• 2015

Clustering is one of important data mining techniques known as exploratory data analysis and is being applied in various engineering and scientific fields such as pattern recognition, remote sensing, and so on. The method organizes data by abstracting underlying structure either as a grouping of individuals or as a hierarchy of groups. Weather radar observes atmospheric objects by utilizing reflected signals and stores observed data in corresponding coordinate. To analyze the radar data, it is needed to be separately organized precipitation and non-precipitation echo based on similarities. Thus, this paper studies to apply clustering method to radar data. In addition, in order to solve the problem when precipitation echo locates close to non-precipitation echo, fuzzy logic based clustering method which can consider both distance and other properties such as reflectivity and Doppler velocity is suggested in this paper. By using actual cases, the suggested clustering method derives better results than previous method in near-located precipitation and non-precipitation echo case.

• Spatial Information Research
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• v.21 no.5
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• pp.15-22
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• 2013

The purpose of this work is to investigate correlation between $CO_2$ concentration and NDVI (Normalized Difference Vegetation Index) in North East Asia. Geographically weighted regression techniques were used to evaluate the spatial relationships between GOSAT (Greenhouse Observing SATellite) $CO_2$ measurement and MODIS (Moderate Resolution Imaging Spectroradiometer) vegetation index. The results reveals that $CO_2$ concentration to be negatively associated with NDVI. The analysis of Global Morans' I index and Anselin Local Morasn's I showed spatial autocorrelation between the overall spatial pattern of $CO_2$ and NDVI. Ultimately, there were clustered patterns in both data sets. The results show that carbon dioxide concentration shows non-random distribution patterns in relation to NDVI clusters, which proves that intense development activities such as deforestation are influencing carbon dioxide emission across the area of analysis. However, as the concentration of carbon dioxide varies depending on a variety of factors such as artificial sources, plant respiration, and the absorption and discharge of the ocean, follow-up studies are required to evaluate the correlations among more related variables.

• Journal of Digital Contents Society
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• v.19 no.9
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• pp.1769-1778
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• 2018

As the value of using Big Data is increasing, various researches are being carried out utilizing big data analysis technology in the field of education as well as corporations. In this paper, we propose a method to predict learning achievement using big data cluster analysis. In the proposed method, students in Korea Children and Youth Panel Survey(KCYPS) are classified into groups with similar learning habits using the Kmeans algorithm based on the learning habits of students of the first year at middle school, and group features are extracted. Next, using the extracted features of groups, the first grade students at the middle school in the test group were classified into groups having similar learning habits using the cosine similarity, and then the neighbors were selected and the learning achievement was predicted. The method proposed in this paper has proved that the learning habits at middle school are closely related to at the university, and they make it possible to predict the learning achievement at high school and the satisfaction with university and major.

• Korean Journal of Weed Science
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• v.30 no.4
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• pp.405-411
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• 2010

The phytosociological study was carried out to investigate the structural characteristics of fallow paddy vegetation in Korea. The vegetation data of total 22 relev$\'{e}$s were analyzed by the Zurich-Montpellier school's method. Six syntaxa (1 subassociations and 5 communities) of fallow paddy were recognized: Polygonetosum thunbergii typicum subass. nov. hoc., Aneilema keisak community, Juncus effusus var. decipiens community, Phragmites commuis community, Monochoria vaginalis var. plantaginea community, Typha orientalis community of Polygonetum thunbergii Lohm. et Miyawaki 1962. Detrended correspondence analysis showed that Aneilema keisak community and Monochoria vaginalis var. plantaginea community were negatively correlated with soil total nitrogen. Polygonetosum thunbergii typicum subass. nov. hoc. and Phragmites commuis community was distributed in the soil with low pH.