• Journal of the Korean Data and Information Science Society
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• v.17 no.1
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• pp.1-11
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• 2006

Data mining technique is used to find hidden knowledge by massive data, unexpectedly pattern, relation to new rule. The methods of data mining are decision tree, association rules, clustering, neural network and so on. Clustering is the process of grouping the data into clusters so that objects within a cluster have high similarity in comparison to one another. It has been widely used in many applications, such that pattern analysis or recognition, data analysis, image processing, market research on off-line or on-line and so on. We analyze Gyeongnam social indicator survey data by 2001 using twostep clustering technique for environment information. The twostep clustering is classified as a partitional clustering method. We can apply these twostep clustering outputs to environmental preservation and improvement.

• Journal of Environmental Health Sciences
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• v.22 no.4
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• pp.109-121
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• 1996

It was intended to investigate the effect of the microbiological kitchen hygiene such as dishclothes and scrubbers. The 8indicator organisms (standard plate counts, coliform, heterotroph, enterococcus, staphylococcus, heat-stable bacteria, psychrotroph, Pseudomonas aeruginosa) were detected highly in dishwaters, dishcloth and scrubber. Coliform and Staphylococcus aureus were appeared on dishcloth dominantly than the scrubber, and the scrubbers were intruded by hetrotrophs and psychrotrophs numerously than dishclothes. The germ-resistant sponge inhibited the growth of the most of test strain, and appeared the about 100% reduction rate after 24 hr, but did not affect Pseudomonas aeruginosa and P. fragi so typically after 24 hr. The anti-microorganism durability of germ-resistant sponge, treated with food soil, was maintained by 10 days, the early stage strain density was founded in 20 days, and the strains grew after 30 days.

• Journal of Korean Society of Environmental Engineers
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• v.32 no.4
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• pp.363-368
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• 2010

The overall indicator of microbial activity in the fermentation-extinction reaction of food waste by using bio wood-chips were investigated by considering adenosine tri-phosphate(ATP). Degradation rate of organic compounds, which was represented by chemical oxygen demand(COD) and total nitrogen(TN), was increased with the concentration of adenosine tri-phosphate during fermentation-extinction reaction of food waste by using bio-wood chips. With this view, the ATP would be one of the overall evaluation indicator of organic degradation in the species of bio-wood chip for the fermentation-extinction of food waste.

• 한국방재학회:학술대회논문집
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• 2008.02a
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• pp.827-830
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• 2008

Enterococcus is a fecal indicator bacterium and often used to indicate fecal contamination in the environment. Carbohydrates fermentation patterns of Enterococcus isolates were investigated as a way to differentiate the source of fecal contamination. Total 1826 Enterococcus isolates were obtained from cows, pigs, chickens, ducks, and humans in two geographically different locations. Distributions of carbohydrate fermentation patterns showed discrepancies among sources. This study suggest that the possibility of the use of Enterococcus in microbial source tracking.

• Mass Spectrometry Letters
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• v.14 no.4
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• pp.160-165
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• 2023

Citronella oil, an essential oil extracted through steam distillation from the leaves and stems of Cymbopogon, is a natural complex substance (NCS) regulated by the Korean government for its use in insect repellents. The component ratios of NCSs like citronella oil vary due to differences in manufacturing processes and origins, presenting a challenge in identifying and quantifying these substances in consumer chemical products. This study analysed ten commercially available products of the most commonly used types of citronella oil, specifically Java and Ceylon types, using gas chromatography (GC)-mass spectrometry (MS) and GC with flame ionization detection (FID). Through chromatographic data, we aimed to determine the components that can qualitatively identify citronella oil and the indicator ingredients that can be used for content analysis.

• Journal of Korean Society on Water Environment
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• v.35 no.2
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• pp.152-164
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• 2019

In this study, a Benthic Macroinvertebrates Family Index (BMFI) was developed using 100 indicator groups (99 families including Chironomidae with 2 phena). Families were assigned a score between 1 and 10 depending on their sensitivity to organic pollution. The BMFI was composed of the sensitivity and relative abundance of the indicator taxa. Sensitivity values of each group were generally similar to Biological Monitoring Working Party (BMWP) scores or Walley, Hawkes, Paisley, Trigg (WHPT) scores of UK, Japanese BMWP scores, and the FBI tolerance values of North America. However, sensitivity values of some taxa were significantly different from those of foreign countries, which seemed to have resulted from discrepancy in species composition, difference of taxonomic classification system, or methodological difference for estimation of sensitivity. As an annual average level, BMFI showed significant correlation with concentration of 5-day biochemical oxygen demand (BOD5) (correlation coefficient r = -0.80, n = 569 sites), total suspended solids (r = -0.68), and total phosphorus (r = -0.79). In addition, BMFI revealed strong correlation with Shannon-Weaver's species diversity (r = 0.85), Margalef's species richness (r = 0.85) and McNaughton's dominance (r = -0.84). Correlation between BMFI and water quality parameters or community indices such as species diversity did not show significant difference compared to that of species-level indices such as BMI (Benthic Macroinvertebrates Index). This means that BMFI is a more useful indicator in terms of easy identification of organisms. BMFI was used to assess the environmental status of 3,017 sites of Stream Ecosystem Survey conducted by the Korean Ministry of Environment between 2016 and 2018. As a result, about half of all sites appeared to be in good condition, and a quarter in poor condition.

• Journal of Environmental Health Sciences
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• v.35 no.3
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• pp.162-168
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• 2009

The aim of this study is to investigate microbial sanitary condition of public baths in Seoul, Korea. A total of 28 water samples were collected from 14 different public baths and sudatoriums. The prevalence of fecal indicator microorganisms such as total coliform, fecal coliform, and Escherichia coli was characterized. In addition, bacteria in water was membrane filtered by 0.45um nitrocellulose membrane, and the filter was analyzed by both cultivation and PCR amplification of partial 16S rRNA gene. The levels of chlorine were measured for each of water samples. More than 40% of 14 collected water samples, the concentrations of total coliform bacteria exceeded the water quality for bath water guideline. There was no significant correlation between chlorine residue and the presence of total coliform. Various microorganisms including pathogenic microorganisms were identified from cultivation and subsequent analysis of 16s rRNA gene sequences. Our results suggest that appropriate hygiene practice and continuous monitoring is needed for reducing health risk associated with public bathhouses.

• Journal of the Korean earth science society
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• v.31 no.4
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• pp.301-312
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• 2010

Geochemical data have been regarded as one of the important environmental variables in the environmental management. Since they are often sampled at sparse locations, it is important not only to predict attribute values at unsampled locations, but also to assess the uncertainty attached to the prediction for further analysis. The main objective of this paper is to exemplify how indicator geostatistics can be effectively applied to geochemical data processing for providing decision-supporting information as well as spatial distribution of the geochemical data. A whole geostatistical analysis framework, which includes probabilistic uncertainty modeling, classification and risk analysis, was illustrated through a case study of cadmium mapping. A conditional cumulative distribution function (ccdf) was first modeled by indicator kriging, and then e-type estimates and conditional variance were computed for spatial distribution of cadmium and quantitative uncertainty measures, respectively. Two different classification criteria such as a probability thresholding and an attribute thresholding were applied to delineate contaminated and safe areas. Finally, additional sampling locations were extracted from the coefficient of variation that accounts for both the conditional variance and the difference between attribute values and thresholding values. It is suggested that the indicator geostatistical framework illustrated in this study be a useful tool for analyzing any environmental variables including geochemical data for decision-making in the presence of uncertainty.

• Proceedings of the Korean Society of Environment and Ecology Conference
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• 1999.04a
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• pp.61-63
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• 1999

• Journal of the Korean housing association
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• v.24 no.2
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• pp.11-24
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• 2013

Sustainable development has been praised as important new planning paradigm. The concept is being increasingly used in planning processes to address environmental, social and economic sustainable development. The social sustainability is important as community in modern life. The purpose of this study is to find out the community elements of sustainable housing to make it better life in residential environment. The Methods are content analysis and experts survey. We execute the literature for method to find the importance and indicator of social sustainability. We execute the experts survey to find the adequacy of the classification criteria, the adequacy of the indicators and the adequacy of the classification system. The findings of this study are as following; the social sustainability is important to support the sustainable housing planning. The indicator of the social sustainability is deduced; 'Locality' are deduced 'Native support', 'History and culture' and 'Reflected the local characteristics'. 'Communality' are deduced 'Citizen participation', 'Social integration', 'Community space and facilities' and 'community activities and programs'. 'Organic' are deduced 'Employment', 'Self-sufficiency', 'Safety and convenience', 'Infrastructure and service' and 'Housing condition'.