• Title/Summary/Keyword: 군집 특성

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A Study on the Regional Difference of Obesity in the Social Vulnerabilities -Focused on the Suwon City (사회취약계층 비만의 지역 격차에 관한 연구 -수원시를 중심으로)

  • Kim, Han-Yee;Kim, Yong-Jin
    • The Journal of the Korea Contents Association
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    • v.19 no.4
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    • pp.682-689
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    • 2019
  • This study aims to spatialize the gap between obesity levels through the body mass index, an objective indicator of the level of health among vulnerable people. Thus, areas where the BMI showed cluster patterns with spatial high and low values were extracted and the characteristics of the region were analyzed. The analysis showed that the I statistics for the obesity rate were 0.07 and the z-score was 4.39, confirming spatial autocorrelation. For z-score, it was much larger than the maximum threshold of 2.57. This means that the rate of obesity among the socially vulnerable is regional, and this gap is spatially significant. The results of comparing and analyzing the local environment for these areas of obesity and health care were found to be areas with poor public transportation, less readily available parks, and a concentration of single and multi-generation housing. The analysis results of this study are meaningful in that they provide spatial implications for the health of the socially vulnerable class that previous studies have neglected.

Characterization of odor-associated fungal community in automobile HVAC systems using a high-throughput DNA sequencing method (고속 염기서열 분석법을 이용한 자동차 공조 시스템(HAVC systems)의 악취 연관 곰팡이 군집 특성)

  • Lee, Yun-Yeong;Choi, Hyungjoo;Yun, Jeonghee;Ryu, Hee Wook;Cho, Jong Rae;Seong, Kwangmo;Cho, Kyung-Suk
    • Journal of odor and indoor environment
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    • v.16 no.1
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    • pp.54-63
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    • 2017
  • The Automobile HVAC system is a habitat for odor-associated fungal communities. We investigated the odor-associated fungal community in an automobile HVAC system using a high-throughput DNA sequencing method. The fungal community structure was evaluated via metagenome analysis. At the phylum level, Ascomycota and Basidiomycota were detected, accounting for 43.41% and 56.49% of the fungal community in the HVAC system, respectively. Columnosphaeria (8.31%), Didymella (5.60%), Davidiella (5.50%), Microxyphium (4.24%), unclassified Pleosporales (2.90%), and Cladosporium (2.79%) were abundant at phylum of Ascomycota and Christiansenia (36.72%), Rhodotorula (10.48%), and Sporidiobolus (2.34%) were abundant at phylum of Basidiomycota. A total of 22 genera of fungi were isolated and identified from the evaporators of the HVAC systems which support fungal growth and biofilm formation. Among them, Cladosporium, Penicillium, Aspergillus, and Alternaria are the most representative odor-associated fungi in HVAC systems. They were reported to form biofilm on the surface of HVAC systems with other bacteria by hypha. In addition, they produce various mVOCs such as 3-methyl-1-butanol, acetic acid, butanoic acid, and methyl isobutyl ketone. Our findings may be useful for extending the understanding of odor-associated fungal communities in automobile HVAC systems.

Superpixel Segmentation Scheme Using Image Complexity (영상의 복잡도를 고려한 슈퍼픽셀 분할 방법)

  • Park, Sanghyun
    • The Journal of Korean Institute of Information Technology
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    • v.16 no.12
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    • pp.85-92
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    • 2018
  • When using complicated image processing algorithms, we use superpixels to reduce computational complexity. Superpixel segmentation is a method of grouping pixels having similar characteristics into one group. Since superpixel is used as a preprocessing of image processing, it should be generated quickly, and the edge components of the image should be well preserved. In this paper, we propose a method of generating superpixels with a small amount of computation while preserving edge components well. In the proposed method, superpixels of an image are generated by using the existing k-mean method, and similar superpixels among the generated superpixels are merged to make final superpixels. When merging superpixels, the similarity is calculated only for superpixels. Therefore, the amount of computation is maintained small. It is shown by experimental results that the superpixel images produced by the proposed method are conserving edge information of the original image better than those produced by the existing method.

Identification of Strategic Fields for Developing Smart City in Busan Using Text Mining (텍스트 마이닝을 이용한 스마트 도시계획 수립을 위한 전략분야 도출연구: 부산 사례를 바탕으로)

  • Chae, Yoonsik;Lee, Sanghoon
    • Journal of Digital Convergence
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    • v.16 no.11
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    • pp.1-15
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    • 2018
  • The purpose of this study is to analyze bibliographic information of Busan and other cities' reports for urban development initiative and identify the strategic fields for future smart city plan. Text mining method is used in this study to extract keywords and identify the characteristics and patterns of information in urban development reports. As a result, in earlier stage, Busan city focused on service creation for industrial development but there are lack of discussions on the linkage of information systems with ICT technology. However, recent urban planning in Busan contained various contents related to integrated connections of infrastructure, ICT system, and operation management of city in the specific fields of traffic, tourism, welfare, port/logistics, culture/MICE. This results of study is expected to provide policy implications for planning the future urban initiatives of smart city development.

Evaluation of Water Quality and Phytoplankton Community Using a Multivariate Analysis in Bukhan River (다변량 통계분석을 이용한 북한강의 수질 및 식물플랑크톤 군집 특성 평가)

  • Kim, Hun Nyun;Youn, Seok Jea;Byeon, Myeong Seop;Yu, Soon Ju;Im, Jong Kwon
    • Journal of Korean Society on Water Environment
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    • v.35 no.1
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    • pp.19-27
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    • 2019
  • The purpose of this study is to evaluate the water quality and phytoplankton community in Bukhan River which account for 44.4 % of the total inflow into Lake Paldang, using multivariate statistical techniques (i.e., correlation analysis, principal component analysis (PCA)/factor analysis (FA)). Water samples were collected from March to November 2015 and the following parameters measured; water temperature, pH, DO, EC, SS, BOD, Chl-a, COD, TN, $NO_3-N$, $NH_3-N$, TP, DTP, $PO_4-P$, and phytoplankton community. The water quality of the main stream and the tributaries were not significantly different apart from the relatively high concentration of BOD, COD and nutrients recorded in MH. The highest cell density of Stephanodiscus hantzschii and Merismopedia glauca dominated phytoplankton was observed in PD. Based on the correlation analysis, total phytoplankton and cyanophyceae were highly correlated with BOD, COD and nutrients. PCA/FA resulted in four main factors accounting for 82.240 % of the total variance in the water quality dataset. The group of component 1 (TN, DTN, DO, $NO_3-N$, water temperature) and component 2 ($PO_4-P$, T-P, DTP, SS) were classified as nutrient element factor whereas component 3 (Chl-a, COD, BOD, $NH_3-N$, pH) was related to organic substances. Hence, the identification of the main potential environmental pollution factors in Bukhan River will help policy makers make better and more informed decisions on how to improve the water quality.

The Analysis and Classification of Urban Types for Potential Damage from Hazardous Chemical Accidents Using Factor and Cluster Analysis (요인 및 군집분석을 이용한 유해화학물질 사고 잠재적 피해에 대한 도시 유형 분류 및 특성 분석)

  • Lee, Seung Hoon;Ryu, Young Eun;Kim, Kyu Ri;Back, Jong In;Kim, Ho-Hyun;Ban, Yong Un
    • Journal of Environmental Health Sciences
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    • v.46 no.6
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    • pp.726-734
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    • 2020
  • Objectives: The aim of this study was to analyze and classify the characteristics of potential damage from hazardous chemical accidents in 229 administrative units in South Korea by reflecting the social and environmental characteristics of areas where chemical accidents can occur. Methods: A number of indicators were selected through preceding studies. Factor analysis was performed on selected indicators to derive factors, and cluster analysis was performed based on the factor scores. Results: As a result of the cluster analysis, 229 administrative units were divided into three clusters, and it was confirmed that each cluster had its own characteristics. Conclusions: The first cluster, "areas at risk of accident occurrence and spread of damage" was a type with a high potential for accident damage and a high density of hazardous facilities. The second cluster, "Urban infrastructure damage hazard areas" appeared to be a cluster with high urban development characteristics. Finally, the third cluster 'Urban and environmental damage hazard areas' appeared to be a cluster with an excellent natural environment. This study went further from the qualitative discussion related to existing chemical accidents to identify and respond to accident damage by reflecting the social and environmental characteristics of the region. Distinct from the previous studies related to the causes of accidents and the response system, it is meaningful to conduct empirical research focusing on the affected areas by analyzing the possibility of accident damage in reflection of the social and environmental characteristics of the community.

Altitudinal diversity and distribution of butterflies inhabiting Mt. Jirisan, South Korea (지리산 나비의 고도에 따른 다양성과 서식 분포)

  • Lee, Sanghun;Ahn, Nahyun;An, Jeong-Seop
    • Korean Journal of Environmental Biology
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    • v.38 no.4
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    • pp.497-506
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    • 2020
  • This study surveyed the altitudinal diversity and distribution of butterflies inhabiting Mt. Jirisan. Field surveys were conducted thrice (May, June, and July) using a line transect method along four routes in 2015. During the survey, a total of five families, 58 species, and 769 individuals were collected. Of the species collected, the majority belonged to the family Nymphalidae (28 species), followed by Hesperiidae (nine species), Pieridae (eight species), Lycaenidae (seven species), and Papilionidae (six species). As for the individuals, Pieridae accounted for the largest number (333 individuals), followed by Nymphalidae (309 individuals), Lycaenidae (63 individuals), Hesperiidae (33 individuals), and Papilionidae (31 individuals). A cluster analysis performed on the butterfly species distinguished three altitude zones. The butterflies showed different ecological traits in each of the altitude zones. Analysis of the altitudes of the habitats of eight dominant species revealed that each species inhabited a particular altitude. This study confirmed the hypothesis that continuous monitoring will identify changes in the altitudinal distribution and diversity of butterflies on Mt. Jirisan in response to climate change.

16S rRNA gene-based sequencing of cucumber (Cucumis sativus L.) microbiota cultivated in South Korea (16S rRNA 유전자 염기서열 분석에 기반한 국내 재배 오이의 상재균총 분석)

  • Seo, Dong Woo;Kim, Seung Min;Lee, Heoun Reoul;Yum, Su-jin;Jeong, Hee Gon
    • Korean Journal of Food Science and Technology
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    • v.53 no.3
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    • pp.334-343
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    • 2021
  • Various vegetables, including cucumbers, have a high probability of foodborne illness because they are usually eaten raw. In this study, we analyzed the 16S rRNA gene sequences of the cucumber (Cucumis sativus L.) microbiota. The diversity indices of cucumber cultivated in May were higher than in cucumber cultivated in November. At the phylum level, Proteobacteria, Firmicutes, and Actinobacteria were predominant. The classes generally comprised Gammaproteobacteria, Bacilli, Alphaproteobacteria, and Actinobacteria. At the genus level, the proportions of Aureimonas, Escherichia, and Microbacterium in samples from May were relatively high, whereas Enterococcus, Pseudomonas, and Rhizobium accounted for a higher proportion in samples from November. Moreover, it is noteworthy that potential pathogenic genera such as Acinetobacter, Aerococcus, Aureimonas, Enterobacter, Enterococcus, Escherichia, Pantoea, Pseudomonas, and Staphylococcus were detected. Although further studies on the characteristics of potential pathogens are required, our results can be used to improve the food safety of vegetables.

Quality Characteristics and Comparison of Microbial Community in Traditional Doenjang by Aging Period in Gyeongnam Province (경남지역 전통 된장의 숙성기간에 따른 품질 특성 및 미생물 군집 비교)

  • Kim, Hyeon-Young;Kim, Bong Sin;Ko, Hee-Suk;Kim, So-young;Ha, Gi-Jeong
    • The Korean Journal of Food And Nutrition
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    • v.34 no.1
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    • pp.58-68
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    • 2021
  • This study investigated the microbial community and quality characteristics of traditional soybean pastes (doenjang) based on the aging period in Gyeongnam province. The samples were collected from seven regions in Gyeongnam Province (Goseong, Hadong, Haman, Hamyang, Sacheon, Sancheong and Uiryeong). Contents of moisture, salinity, pH, and acidity of doenjang after 210 days aging were 56.40~65.21%, 9.05~16.08%, 4.88~6.86 and 0.64~2.14%, respectively. Lightness significantly decreased over the aging period, while the redness tended to increase over the aging period. Yellowness was from 21.39~26.81 to 21.10~28.36. Reducing sugar content was from 0.31~1.45% to 0.11~3.13%. The amino-type content increased from 141.87~495.13 mg/100 g to 328.53~823.67 mg/100 g. In contrast, the ammonia-type content declined from 136.74~364.70 mg/ 100 g to 128.62~331.00 mg/100 g. The overall total microbial count did not significantly differ, but it tended to decrease in sample GD4. Fungus declined overall or was not detected. Coliform groups were not detected in all samples. Lactobacillus and Bacillus cereus tended to decrease over the aging period. The common fungus and bacterium were Aspergillus oryzae and Tetragenococcus halophilus, respectively. After the aging period, the predominant fungi were Candida versatilis, Candida apicola, and Debaryomyces hansenii. The predominant bacteria were Tetragenococcus halophilus and Cronobacter sakazakii.

A Study on the Characteristics of the Spatial Distribution of the 4th Industry (4차 산업의 공간적 분포특성에 관한 연구)

  • Joo, Mijin
    • The Journal of the Korea Contents Association
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    • v.21 no.4
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    • pp.434-446
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    • 2021
  • Recently, there has been a growing interest in the fourth industrial revolution, expected to have a significant impact on society. However, there are only a few studies on spatial distribution and location of the fourth industry. This study tried to classify the spatial distribution of the fourth industry by using LQ, a non-geographical method, and Getis-Ord's Gi*, a geographical method. The results of the analysis are as follows. First, there are the specialized areas of the fourth industry in the non-Seoul metropolitan area as well as the Seoul metropolitan area. Second, industrial clusters and neighborhood areas of the fourth industry were located mostly in the Seoul metropolitan area. Third, industrial clusters were concentrated on the southern part of Gyeonggi Province and Seoul, and there are no industrial clusters in the northern part of the Seoul metropolitan area and the nature conservation area. This paper shows that the cluster area of the fourth industry is concentrated in the Seoul metropolitan area. Therefore, policies for the 4th industry are needed to solve this unbalanced spatial distribution of the fourth industry.