• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.2122-2126
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• 2009

최근 나날이 강도를 더해가는 이상기후로 인하여 집중 호우의 빈발과 홍수피해가 급증함으로써 하천생태계의 서식처가 파괴되고 저서성 대형무척추동물과 같은 생태구성원의 일시적인 소멸에 의해 하천생태계의 유지가 어려워지고 있다. 본 연구에서는 흐름의 소류력에 따른 저서성 대형무척추동물 군집의 피해 및 회복 양상을 규명하기 위한 수리실험을 계획하였다. 실험수로는 400(W)${\times}$400(H)${\times}$12000(L)mm의 직사각형 단면이며, 철제틀과 투명유리로 되어있다. 실험수로는 유기물질을 제거한 cobble과 pebble로 하상을 구성하였으며, 다양한 유속의 변화에 따른 하상구성 파괴를 막기 위해 투명 플라스틱망을 이용하였다. 또한 빛에 의한 이상행동을 고려하여 직접적인 햇볕을 차단하고 자연하천과 유사한 실험 조건을 위해 인근 안성천의 원수를 이용하였다. 실험 대상종은 붙는 무리의 대표적인 동물인 두점하루살이와, 헤엄치는 무리의 두갈래하루살이를 이용하였고, 서식무리별 선호유속 및 한계유속과 피해유속을 규명하고자 계획하였다. 이와 같은 실험수로 조성의 실험 기법은 향후 인공하천 및 복원하천 조성 시 서식처 개선에 대한 생태학적 복원자료로 활용할 수 있다.

• Korean Journal of Environmental Biology
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• v.17 no.3
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• pp.279-284
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• 1999

To investigate soil bacterial diversity according to vegetation types, directly extracted DNA from 5 different soils were cross-hybridized with each other as a probe and target. Pinus densiflora soil was shown the highest value then agricultured soil＞naked soil＞grass soil＞Quercus mongolicas soil in the order of diversity. Cluster analysis by similarity showed that soil microbial communities were categorized into three groups.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.768-771
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• 2021

시계열 분석은 이전 시점들의 데이터를 기반으로 미래 시점의 데이터를 예측하는 기술을 제공하며, SARIMA는 이러한 시계열 분석에서 활용되는 통계 모델의 일종이다. 본 연구는 직접 수집한 실시간 위치 데이터에 SARIMA를 적용하여 개인의 이동 패턴을 추출하고 이를 예측에 활용하는 전반적인 프로세스를 제작하였다. 첫째, DB에 업로드된 위치 데이터를 비지도 학습의 일종인 EM-clustering을 활용해 핵심 방문 장소들로부터의 거리에 따라 군집화했다. 둘째, 해당 장소에 입장하고 퇴장하는 시간 간격에 SARIMA를 적용해 주기성을 추출했다. 마지막으로, 이 주기성들을 군집의 중요도에 따라 순차적으로 분석하여 유의미한 예측 결과를 도출해냈다.

• Korean Journal of Microbiology
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• v.47 no.3
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• pp.209-217
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• 2011

Archaeal communities were investigated using 454 pyrosequencing technology based on 16S rRNA gene in 11 samples collected from six different full-scale anaerobic digesters. Observed operational taxonomic units (OTUs) estimated from the archaeal 16S rRNA gene sequences were 13-55 OTUs (3% cutoff) which was corresponded to 29-89% of Chao1 richness estimates. In the anaerobic digesters there were archaeal sequences within the orders Thermoproteales, Thermoplasmatales, Desulfurococcales as well as within the orders Methanomicrobiales, Methanobacteriales, Methanococcales, Methanosarcinales, and Methanocellales, which are known to produce methane. Among these orders, Methanococcales known to produce methane using hydrogen was the predominant taxon and constituted 51.8-99.7% of total sequences. All samples showed a very similar community structure (Pearson correlation coefficient=0.99) except for one sample based on a heat map analysis. In addition, canonical correspondence analysis correlating archaeal communities to the environmental variables demonstrated that digester temperature and total solids removal rate were the two important explanatory variables. Overall results suggested that environmental and operational variables of anaerobic digester are important factors determining archaeal diversity and community structure.

• Journal of the Korea Organic Resources Recycling Association
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• v.13 no.2
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• pp.85-90
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• 2005

Changes of biochemical and genetic diversity of microbial communities in the soil damaged by a forest fire were analyzed. Soil samples were collected from Gangnung area where a forest fire was broken out in 2000. Two soil samples were from the burnt area, one from the naturally restoring soil (NS) and the other from the artificially restoring soil (AS). A normal, unaffected soil sample (US) was also included as a control. For the biochemical diversity, each sample was directly applied to the BIOLOG system, and the cluster analysis through a statistic process (SPSS) were performed. Genetic diversity was analyzed through DGGE using 16S-rDNA amplified from soil DNA. Among the samples tested, top soils of US and NS, and sub soil of NS revealed more than 70% of the similarity value in biochemical diversity. In case of genetic diversity, however, the similarity value was found to be in the range of 53% to 68% in all samples. This result indicates that the biochemical diversity is not always correlated with the genetic diversity in the analysis of microbial communities.

• Korean Journal of Environmental Biology
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• v.38 no.3
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• pp.461-475
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• 2020

This study was conducted in the southwestern area of Korea using a neuston net in September (14 stations) 2017 to understand the environmental factors affecting neustonic zooplankton. Temperature, salinity, chlorophyll a concentration, suspended solids, and microplastics were included as environmental factors. Based on the density of the copepods, the study area was divided into three regions: the Seomjin River water influence area, the frontal mixing area, and the warm water affected area (Jeju warm current and Tsushima warm current). In the latter two areas, the major species were Pontella chierchiae, Canthocalanus pauper, and Oncaea spp. Also, neustonic zooplankton showed a significant relationship between the density of phytoplankton and microplastics in the frontal mixing area, and temperature and suspended solids in the warm water affected area, respectively (p<0.05). This indicates that microplastics can affect the offshore zooplankton community.

• Korean Journal of Microbiology
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• v.25 no.4
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• pp.318-327
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• 1987

Taxonomic composition and diversity were wxamined by statistical analysis for bacterial communities in surface waters of the Sudong Stream, a tributary of North Han River. For total 282 isolates, Flavobacterium, Aeromonas and Enterobacteriaceae was identified by the deterministic schemes as a major group above 50% of total isolates in all sampling sites. Morphological, biochemical and physiological characteristics were numerically analyzed for bacterial isolates from each site and clustered into 15-28 groups. Not all statistically clustered groups were identical to the groups derived from deterministic identification. Especially, consistent relationship was not found in dendrograms for the groups with each a single strain which gas peculiar sugar-degrading activity. At a level of 80% similarity, bacterial diversity (H) was ranged as 2.37-3.14, and it was suggested that the research area was oligotrophic-mesotrophic status. Regional distribution of bacterial community was most heterogeneous at the site where large input of allochthonous materials or bacteria were occurred. And that was the significant factor for the compositions of bacterial communities in the Sudong stream.

• Journal of Korea Foundry Society
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• v.27 no.5
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• pp.217-220
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• 2007

절삭특성은 재료를 원하는 형상으로 가공하기 위해 재료의 불필요한 부분을 제거할 경우 그 가공성이 쉽거나 어려움에 대한 정도로 전의될 수 있는데 동합금 소재의 절삭특성은 절삭시 발생된 칩의 형상이나 길이를 측정하거나 또는 공구계에 부착된 토오크 미터에 의해 절삭력을 간접적으로 측정하는 방법 등이 사용되어 오고 있다. 상기의 평가방 법은 절삭특성의 간접적인 평가방법이라는 한계와 정확도에 문제가 있는 실정이다. 본 연구에서는 압전형 공구동력계(Piezoelectric Tool Dynamometer)를 쾌삭인청동합금 피절삭물에 직접 부착하여 절삭가공시 절삭력은 정량적으로 직접 측정하고자 하였다. 쾌삭인청동합금의 소둔 열처리 시간이 증가할수록 결정립의 성장에 의한 연화현상과 납입자의 군집화(Clustering)는 관찰되었으나 그로 인한 절삭력 및 절삭에 필요한 에너지의 변화는 뚜렷하지 않았다.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.43 no.6 s.312
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• pp.20-27
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• 2006

Multi-level thresholding is a method that is widely used in image segmentation. However most of the existing methods are not suited to be directly used in applicable fields and moreover expanded until a step of image segmentation. This paper proposes region-based multi-level thresholding as an image segmentation method. At first we classify pixels of each color channel to two clusters by using EWFCM(Entropy-based Weighted Fuzzy C-Means) algorithm that is an improved FCM algorithm with spatial information between pixels. To obtain better segmentation results, a reduction of clusters is then performed by a region-based reclassification step based on a similarity between regions existing in a cluster and the other clusters. The clusters are created using the classification information of pixels according to color channel. We finally perform a region merging by Bayesian algorithm based on Kullback-Leibler distance between a region and the neighboring regions as a post-processing method as many regions still exist in image. Experiments show that region-based multi-level thresholding is superior to cluster-, pixel-based multi-level thresholding, and the existing mettled. And much better segmentation results are obtained by the post-processing method.

• Korean Journal of Ecology and Environment
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• v.49 no.3
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• pp.228-235
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• 2016

Aquatic ecosystems are receiving various harmful effects due to anthropogenic chemical pollutions. To protect wildlife, risk assessments of the chemicals are conducted using reference indexes of toxicity estimated by species-level laboratory tests and/or micro-/mesocosm community-level studies. However, the existing micro-/mesocosm communities are structurally too complicated, and it is also difficult to compare the experimental results directly with those from species-level tests. Here, we developed a procedure of a simple bi-trophic microcosm experiment which contains the common species (a green algae, Pseudokirchneriella subcapitata and a cladoceran, Daphnia magna) for testing chemical toxicities. For the proper operation of bitrophic microcosm experiment, the minimum required concentration of primary producer (P. subcapitata) is $5{\times}10^5cells\;mL^{-1}$. The microcosm system showed higher stability when the initially introduced D. magna population was composed of neonates (<24-h old) than adults and those mixture. This simple microcosm system would be an applicable tool to estimate the disturbing impacts of pollutants on plant-herbivore interactions, and linking the species- and population-/community level risk assessments in the future studies.