• 한국정보처리학회논문지
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• 제5권3호
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• pp.833-841
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• 1998

본 논문에서는 다차원 특징 공간에서 퍼지규칙을 자동으로 생성하기 위해 다차원 공간을 효과적으로 패턴 분할하는 방법을 제안한다. 제안된 방법은 패턴 공간의 순차적 재분할(sequential subdivision)에 기초하며, 생성된 패턴 부공간의 크기는 불규칙하다. 제안된 방법에서 최초의 n차원 패턴 공간은 패턴의 분포 특성을 고려하여 서로 다른 크기를 갖는 2개의 부공간으로 분할된다. 이 부공간중 재분할할 패턴 공간이 선택되고, 이 재분할은 중지 조건이 만족될 때까지 재귀적으로 반복된다. 본 제안의 결과는 인공위성 Landsat TM을 사용한 2,4,7번 밴드의 다중분광 이미지에 적용시켰으며, 만족할 만한 결과를 얻을 수 있었다.

• 한국연안방재학회지
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• 제4권3호
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• pp.119-131
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• 2017

Global warming under the influence of climate change and its direct impact on glacial and sea level are known issue. However, there is a lack of research on an indirect impact of climate change such as coastal structure design which is mainly based on a frequency analysis of water level under the stationary assumption, meaning that maximum sea level will not vary significantly over time. In general, stationary assumption does not hold and may not be valid under a changing climate. Therefore, this study aims to develop a novel approach to explore possible distributional changes in annual maximum sea levels (AMSLs) and provide the estimate of design water level for coastal structures using a multiple non-crossing quantile regression based nonstationary frequency analysis within a Bayesian framework. In this study, 20 tide gauge stations, where more than 30 years of hourly records are available, are considered. First, the possible distributional changes in the AMSLs are explored, focusing on the change in the scale and location parameter of the probability distributions. The most of the AMSLs are found to be upward-convergent/divergent pattern in the distribution, and the significance test on distributional changes is then performed. In this study, we confirm that a stationary assumption under the current climate characteristic may lead to underestimation of the design sea level, which results in increase in the failure risk in coastal structures. A detailed discussion on the role of the distribution changes for design water level is provided.

• 한국산림과학회지
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• 제99권5호
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• pp.720-725
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• 2010

On the basis of vegetation data in the 9.12 ha (380 m ${\times}$ 240 m) permanent sample plot of the spruce-fir valley forest in Liangshui National Reserve of Xiaoxing'an Mountains, the study was conducted to evaluate spatial distribution pattern and spatial association by using point pattern analysis for living and dead trees of Larix gmelini by DBH size class. The number of L. gmelini were counted as 59 living stems/ha (6.42 $m^2$/ha of basal area) and 34 dead stems/ha (2.86 $m^2$/ha of basal area). The distributional curve of diameter class exhibited bimodal shape. The analysis of spatial distribution patterns of all living larch stems noted the clumped distribution on the whole. The size of larch aggregates of dead stems was decreased as diameter class was increased. The distribution of dead stems became gradually randomized with decreased clumped size as the scale increased. Living stems and dead stems of the larch had positive spatial association at most of scales, illustrating that the occurrence of mortality of the larch tree was closely related to the distribution pattern of living larch trees.

• Smart Structures and Systems
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• 제14권3호
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• pp.377-395
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• 2014

Vibration-based fault detection and condition monitoring of rotating machinery, using statistical process control (SPC) combined with statistical pattern recognition methodology, has been widely investigated by many researchers. In particular, the discrete wavelet transform (DWT) is considered as a powerful tool for feature extraction in detecting fault on rotating machinery. Although DWT significantly reduces the dimensionality of the data, the number of retained wavelet features can still be significantly large. Then, the use of standard multivariate SPC techniques is not advised, because the sample covariance matrix is likely to be singular, so that the common multivariate statistics cannot be calculated. Even though many feature-based SPC methods have been introduced to tackle this deficiency, most methods require a parametric distributional assumption that restricts their feasibility to specific problems of process control, and thus limit their application. This study proposes a nonparametric multivariate control chart method, based on multiscale wavelet scalogram (MWS) features, that overcomes the limitation posed by the parametric assumption in existing SPC methods. The presented approach takes advantage of multi-resolution analysis using DWT, and obtains MWS features with significantly low dimensionality. We calculate Hotelling's $T^2$-type monitoring statistic using MWS, which has enough damage-discrimination ability. A bootstrap approach is used to determine the upper control limit of the monitoring statistic, without any distributional assumption. Numerical simulations demonstrate the performance of the proposed control charting method, under various damage-level scenarios for a bearing system.

• 환경영향평가
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• 제23권2호
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• pp.119-136
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• 2014

This work aims to select the potentially vulnerable plant species against climate change at alpine and subalpine belts of Mts. Sorak, Jiri, and Halla, from central, southern, southern insular high mountains of the Korean Peninsula, respectively. The selection of global warming related vulnerable plants were performed by adapting various criteria, such as flora, endemicity, rarity, floristically specific and valuable species, species composition at mountain summits, horizontal and vertical ranges of individual species, and their distributional pattern in the Korean Peninsula. Line and quadrat field surveys along the major trails from all directions at height above 1,500 meters above sea level of Mts, Sorak, Jiri and Halla were conducted each year during spring, summer, and autumn from 2010 to 2011. Based upon above mentioned eight criteria, high level of climate change related potentially vulnerable arboral plants, such as Rhododendron aureum, Taxus caespitosa, Pinus pumila, Oplopanax elatus, Vaccinium uliginosum, and Thuja koraiensis are noticed from at subalpine belt of Mt. Sorak. Species of Abies koreana, Rhododendron tschonoskii, Oplopanax elatus, Taxus cuspidata, Picea jezoensis, and Juniperus chinensis var. sargentii belong to climate change concerned vulnerable species at subalpine belt of Mt. Jiri. High level of climate change related species vulnerability is found at alpine and subalpine belts of Mt. Halla from Diapensia lapponica var. obovata, Salix blinii, Empetrum nigrum var. japonicum, Vaccinium uliginosum, Juniperus chinensis var. sargentii, Taxus cuspidata, Rhamnus taquetii, Abies koreana, Hugeria japonica, Prunus buergeriana, and Berberis amurensis var. quelpartensis. Countermeasures to save the global warming vulnerable plants in situ are required.

• 미생물학회지
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• 제22권1호
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• pp.1-18
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• 1984

1976年 3月부터 1977年 2月까지 滿 12個月동안 榮山江 汽水域 39個 場所로부터 採水한 156個 water sample로서 酵母의 季節的 分布와 度包配에 따른 이들 酵母의 分布型을 調査하였다. 酵母의 全體 平均値는 100ml당 52에서 487個의 生菌數를 보여주었고 가장 많은 個體數는 春季에 있었고 가장 적은 個體數는 夏季에 있었다. 14屬 83種에 해당하는 933個의 酵母와 한 種의 酵母樣 곰팡이가 分離되었는데 基中 Candida가 29%, Debaryomyces가 17.3%, Rhodotorula가 16%, Saccharomyces가 14%이었고 나머지 다른 屬들은 10%以內이었다. Debaryomyces hansenii와 Rhodotorula glutinis가 全水域에서는 물론 年中 優點種이었고 총 好氣性細菌集團의 크기, 陸水流入量, 그리고 몇가지 지형적 기후적 요소들이 汽水환경에서 酵母의 季節的 分布는 물론 種의 組成을 反映하는 같다. 酵母의 平均數, 種의 多樣性 特히 醱酵性 및 爲菌系形成 母酵들의 數는 감度가 감소함에 따라 增加한 反面 질산염 利用酵母들은 위와 相反된 경향을 보여주었는데 이는 汽水域에서 酵母의 分布型을 認識하는데 감度勾配가 바람직한 看破 요소로서 利用될 수 ㅣ있음을 시사하고 있다.

• 한국수산과학회지
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• 제20권3호
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• pp.224-229
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• 1987

본 연구는 1982연 8월부터 5년에 걸쳐 한반도에 인접한 황해의 저서동물을 대상으로 정량채집하여 그중 다모류의 분포유형을 밝히고 저서군집내에서의 특징적인 다모류의 종류와 그들의 생물학적 특성을 파악하는데 그 목적이 있었다. 다모류의 저식환경이 따른 분포유형을 보면 온수종은 18종, 냉수종은 22종, 범세계종은 20종, 고유종은 29종, 태평양연안종은 7종이었으며 퇴적물의 특성에 따라서 분류할 경우 사질상에 특징적인 종은 Anaitides koreana, Aglaophamus sinensis, Nephtys polybranchia, Nephtys caeca, Glycera capiteta, Scoloplos armiger 등이, 이질상에 특징적인 종은 Haploscoloplos elongatus와 Ophelina aulogaster가 밟혀졌다. 본 조사해역의 저저군집은 우점하는 저서생물상에 의해 6개 저서군집으로 구분되어 각 군집은 저서구역의 생태적인 특징에 따라 다모류의 종류가 밟혀졌다. 전반적으로 황해는 Ophiura kinbergi, Amphioplus megapomus 및 Luidia quinaria 등 극피동물의 분포구역이 많고 서식밀도에 있어서도 매우 높아 이들의 영향을 크게 받고 있었다.

• Ocean Science Journal
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• 제43권2호
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• pp.67-79
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• 2008

We investigated the relationship between mesoscale spatial distribution of environmental parameters (temperature, salinity, and sigma-t), chlorophyll-a concentration and mesozooplankton in the Yellow Sea during May 1996, 1997, and 1998, with special reference to Yellow Sea Bottom Cold Water (YSBCW). Adult calanoid copepods, Calanus sinicus, Paracalanus parvus s.l., Acartia omorii, and Centropages abdominalis were isolated by BVSTEP analysis based on the consistent explainable percentage (-32.3%) of the total mesozooplankton distributional pattern. The copepods, which accounted for 60 to 87% of the total abundances, occupied 73-78% of the copepod community. The YSBCW consistently remained in the northern part of the study area and influenced the spatial distribution of the calanoid copepods during the study periods. Abundances of C. sinicus and P. parvus s.l., which were high outside the YSBCW, were positively correlated with the whole water average temperature (p<0.01). In contrast, the abundances of C. abdominalis and A. omorii, which were relatively high in the YSBCW, were associated with the integrated chl-a concentration based on factor analysis. These results indicate that the YSBCW influenced the mesoscale spatial heterogeneity of average temperature and integrated chl-a concentration through the water column. This consequently affected the spatial distribution pattern of the dominant copepods in association with their respective preferences for environmental and biological parameters in the Yellow Sea during spring.

• Journal of Plant Biology
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• 제15권1호
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• pp.33-41
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• 1972

Nine shrub layer communities under two relatively well conserved natural summer green forests in the central region of Korean Peninsula were studied for the pattern of stem distribution in terms of Greig-Smith's multiple split-plot experiment and for the association between the population of the two main species in terms of Kershaw's covariance analysis respectively. Four contiguous belt transects, $4{\times}64m size with 1{\times}1m$ basic unit, were set in each shrub layer communities. Significant primary clumps with $1{\times}1m or 1{\times}2m$ dimension wer observed consistently throughout the nine study sites. The primary clumps themselves were significantly distributed either regularly or at random. The association between the two principal species of each shrub layer is highly significantly either positive or negative in $1{\times}1m or 1{\times}2m$ dimension. As the plot size increases from $1{\times}1m to 8{\times}8m$ the associational trends were changed from negative to positive direction in one forests. But the change from positive to negative direction and the consistent negative association were also observed from the other forest. All of the association trends were observed only from $1{\times}1m to 4{\times}4m$ dimension. These results are suggestive that the distributional pattern of the shrub layer species under the summer green forest is simple mosaic fashioned with $1{\times}1m or 1{\times}2m$ dimension. The rest of the principal species are located in that matrix. The simple mosaic pattern of two principal species are located in that matrix. The simple mosaic pattern of two principal species seems to be controlled by change in micro-environmental pattern. Differences between the primary random group and clumped group among sites also suggest that competition exists for light or/and soil between primary clumped groups.

• 환경생물
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• 제24권1호
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• pp.81-88
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• 2006

열대 남태평양에 위치한 축 라군에서 flow cytometry와 HPLC를 이용 초미소 식물플랑크톤 조사를 하였다. Synechococcus, Prochlorococcus 그리고 picoeukaryotes의 풍도와 지시색소 분포 양상을 분석하였고 추정된 탄소 생체량에서의 기여율을 조사하였다. 남세균인 Synechococcus와 Prochlorococcus는 축 라군에서 대비되는 분포 특성을 보였다. Synechococcus는 웨노섬 주변 정점에서 높은 풍도를 보인 반면, 북동수로 쪽으로 멀어지며 풍도가 감소하였다. Prochlorococcus는 이와 반대의 분포특성을 나타냈으며, picoeukaryotes는 특정적인 수역별 변화를 보이지 않았다. Prochlorococcus의 지시색소인 divinyl chlorophyll a (Chl. $\alpha2$)는 $1.2\sim180.3\;ng\;L^{-1}$의 농도 범위를 보였으며, 웨노섬 주변 정점들보다 북동수로에 접한 정점들에서 높게 나타났다. 이는 Prochlorococcus의 풍도와 유사한 분포로서, chl. a2가 생체량의 좋은 지표임을 나타냈다. 반면 zeaxanthin은 $61.4\sim135.8\;ng\;L^{-1}$의 농도 범위로 정점별 변화가 풍도변화에 비해 작은 특징을 보였는데 이는 Prochlorococcus로부터 유래된 zeaxanthin의 영향으로 판단된다. Synechococcus의 추정된 탄소 생체량은 전체 초미소 식물플랑크톤 생체량의 68%를 차지하였다. Prochlorococcus와 picoeukaryotes는 각각 17.1%와 14.9%의 생체량을 나타냈다.