• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.1014-1017
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• 2007

본 연구에서는 K-mean 알고리즘을 이용하여 수지조사지점을 클러스터링하고, 수질변화 특성을 비교 분석하였다. 현행 용담댐 저수지의 호내 수질조사점은 10개소를 운용하고 있으나, 샘플링의 경제성과 효율성을 위하여 수질변동 특성이 유사한 몇 개의 지점으로 클러스터링을 할 필요성이 있다. 군집의 개수를 3개, 4개, 5개로 변화해 가면서 알고리즘을 적용한 결과, 크게 3개의 영역으로 분류되었다. 즉, 지류의 유입부분과 용담호의 중류 지역 그리고 댐앞 지점으로 분류되었다. 지류로 부터의 오염부하 유입에 따른 영향을 직접적으로 받는 3번, 8번, 9번 조사지점은 수질변동 특성이 유사한 것으로 분석되었으나, 공간적으로 이격되어 있어 조사지점을 계속 유지하는 것이 바람직할 것으로 판단된다. 용담호의 중류에 해당하는 5번, 6번, 7번 지점은 하천과 호소의 중간적인 성격을 지닌 전이지대(transitional zone)에 해당하며, 수질변동특성이 유사하여 하나의 조사지점으로 통합하는 것이 적절할 것으로 판단된다. 1번, 2번, 4번 조사지점은 댐앞 지점으로써 호소의 성격이 강한 지점으로 볼 수 있으며, 하나의 조사지점으로 통합할 수 있다. 통합된 조사지점의 강우기 수질 변화는 매우 유사한 패턴을 보이고 있는 것을 확인할 수 있다.

• Journal of the Economic Geographical Society of Korea
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• v.27 no.1
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• pp.38-52
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• 2024

Digital transformation industry contributes to the improvement of productivity in overall industrial production, the smart green industry for carbon neutrality and sustainable growth is growing as a future industry. The purpose of this paper is to explore the status and role of the industry in the future industry innovation ecosystem through the analysis of the growth drivers and location pattern changes of the smart green industry. The industry is on the rise in both metropolitan and non-metropolitan areas, and the growth of the industry can be seen in non-metropolitan and non-urban areas. In particular, due to the smart green industrial complex pilot project, the creation of Gwangju Jeonnam Innovation City, and the promotion of new and renewable energy policies, the emergence of core aggregation areas (HH type) in the coastal areas of Honam and Chungcheongnam-do, and the formation of isolated centers (HL type) in the Gyeongsang region, new and renewable energy production companies are being accumulated in non-metropolitan areas. Therefore, the smart green industry is expected to promote the formation of various specialized spokes in non-urban areas in the future industrial innovation ecosystem that forms a multipolar hub-spoke network structure, where policy factors are the triggers for growth.

• Journal of Cadastre & Land InformatiX
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• v.48 no.1
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• pp.169-186
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• 2018

The social influence of the elderly population will accelerate in a rapidly aging society. The purpose of this study is to establish a methodology for extracting vulnerable districts of the welfare of the aged through machine learning(ML), artificial neural network(ANN) and geospatial analysis. In order to establish the direction of analysis, this progressed after an interview with volunteers who over 65-year old people, public officer and the manager of the aged welfare facility. The indicators are the geographic distance capacity, elderly welfare enjoyment, officially assessed land price and mobile communication based on old people activities where 500 m vector areal unit within 15 minutes in Yongin-city, Gyeonggi-do. As a result, the prediction accuracy of 83.2% in the support vector machine(SVM) of ML using the RBF kernel algorithm was obtained in simulation. Furthermore, the correlation result(0.63) was derived from ANN using backpropagation algorithm. A geographically weighted regression(GWR) was also performed to analyze spatial autocorrelation within variables. As a result of this analysis, the coefficient of determination was 70.1%, which showed good explanatory power. Moran's I and Getis-Ord Gi coefficients are analyzed to investigate spatially outlier as well as distribution patterns. This study can be used to solve the welfare imbalance of the aged considering the local conditions of the government recently.

• Korean Journal of Environment and Ecology
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• v.21 no.1
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• pp.55-66
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• 2007

This study was conducted to analyze the distribution patterns of wintering waterbird communities in relation to local environmental factors in the urban streams of Seoul, Korea. A field survey was conducted at 66 sites of 5 tributaries and the main channel of the Hangang River in Seoul in January 2006. The total of 65 species and 39,560 individuals were recorded in the field survey. There were 48 species and 28,989 individuals in the Hangang River, 14 species and 1,395 individuals in the Tancheon stream, 15 species and 2,306 individuals in the Jungrangcheon stream, 22 species and 5,990 individuals in the Anyangcheon, 18 species and 283 individuals in the Changrungcheon stream, and 24 species and 597 individuals in Gokrungcheon stream. The dominant species were Anas platyrhynchos (22.65%), A. poecilorhyncha (14.01%), Aythya ferina (13.26%), Aythya fuligula (8.04%), and Mergus merganser (7.03%). Among the 16 species (with 30,650 individuals) of ducks, the dabbling and diving ducks were 8 species with 18,286 individuals and 8 species with 12,364 individuals, respectively. Through the principal component analysis, the study sites were classified into four main groups according to the similarity of their waterbirds' species compositions: 3 tributaries in the urban area (Group 1), 2 tributaries in the rural area (Group 2), one in the rural area, one in the urban area, the urban area in Hangang River (Group 3) and the main channel of the Hangang River in the urban area (Group 4). Species diversity index and species evenness were the highest in Group 1, while the lowest Group 2. Analysis on their environmental factors showed that the waterbirds wintering in urban streams of Seoul prefer broad water width, low water depth and broad resting sites.

• Korean Journal of Environmental Biology
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• v.18 no.2
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• pp.215-226
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• 2000

We evaluated the aquatic ecosystem of Keum-Ho River through applications of the Index of Biological Integrity (IBI) using fish assemblages and Qualitative Habitat Evaluation Index (QHEI) during June-November 1999. Overall IBI values ranged from 13 to 37 with mean of 23 (n=25, Std. error= 1.16), indicating a "Poor" or "Very Poor" condition according to the criteria of Karr (1981) and U.S. EPA (1993). The values of mean IBI declined at the rate of $0.22km^{-1}$(($r^2$=0.91, p< 0.05) along the longitudinal distance from the headwaters to the down-river. Reduced IBI values at down-river (St. 4 and 5) were attributed to the decreases in riffle benthic species and the relative abundance of insectivore and increases in tolerant species, anormalies and exotic species. Spatial pattern in IBI agreed with QHEI values, which showed a linear relation ($r^2$=0.998, p< 0.001) with mean number of species. Field measurements of conductivity and pH, indicators for variation of conservative ions, showed that the river water was diluted up to 30% by summer precipitation and surface run-off from the watershed, resulting in physical and chemical instability during the monsoon. For these reasons, average IBI values during monsoon and postmonsoon decreased more than 20% compared to pre -monsoon. Before the perturbation of the system (i.e., pre-monsoon), values of QHEI were inversely correlated (r=-0.99, p< 0.0001) with realtive abundance of native omnivore and were positively correlated (r=0.87, p=0.05) with relative abundance of native carnivore. These results indicate that spatial degradation of habitat quality modified the species richness and trophic structure, producing decreased IBI values. (Biological integrity, IBI, Monsoon, Habitat, River, Korea)bitat, River, Korea)

• Korean Journal of Remote Sensing
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• v.31 no.2
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• pp.51-64
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• 2015

We improved the MODerate resolution Imaging Spectroradiometer (MODIS) land cover map over the Asia-Oceania region through the reclassification of the misclassified pixels. The misclassified pixels are defined where the number of land cover types are greater than 3 from the 12 years of MODIS land cover map. The ratio of misclassified pixels in this region amounts to 17.53%. The MODIS Normalized Difference Vegetation Index (NDVI) time series over the correctly classified pixels showed that continuous variation with time without noises. However, there are so many unreasonable fluctuations in the NDVI time series for the misclassified pixels. To improve the quality of input data for the reclassification, we corrected the MODIS NDVI using Correction based on Spatial and Temporal Continuity (CSaTC) developed by Cho and Suh (2013). Iterative Self-Organizing Data Analysis (ISODATA) was used for the clustering of NDVI data over the misclassified pixels and land cover types was determined based on the seasonal variation pattern of NDVI. The final land cover map was generated through the merging of correctly classified MODIS land cover map and reclassified land cover map. The validation results using the 138 ground truth data showed that the overall accuracy of classification is improved from 68% of original MODIS land cover map to 74% of reclassified land cover map.

• The Journal of the Korea Contents Association
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• v.15 no.3
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• pp.114-122
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• 2015

This study aims to analyze the satisfaction of seniors living in Cheonan City downtown as to their residential environment. Also, this study intends to identify which factors should be improved first to make downtown a favorable residential area. To that end, 'social indicators of Chungnam' was used. The collected data was analyzed through a statistical analysis method using ANOVA (analysis of variance) and a cluster analysis. It led to the following findings. First, 6.9% of the elderly residents expressed their wish to move from their downtown residence. Thus, the majority of the residents do not want to move. Second, the satisfaction of the elderly residents in their downtown residence scored 6.09. The score is higher than those of other regions. Thus, it is highly possible to develop downtown into a senior-friendly area. Third, as for satisfaction in downtown residence, it was higher among the following groups: men; those with high school or higher level of education; those earning at least a million won a month; family of one generation. Fourth, satisfaction in the following factors was relatively low: culture and education; interaction with neighbors and trust in them; car accidents. Thus, those factors should be improved for downtown residents. Above all, community-faced facilities should be expanded to increase exchanges with neighbors and trust in them. To attract women dissatisfied with downtown residence. it is imperative to increase daily safety by reducing car accidents and crime.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.12 no.3
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• pp.211-218
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• 2007

In this study, we investigated the spatial distribution of macrozoobenthos in the estuarine sandy flat, the Bongam tidal flat located in Masan Bay during March, 2004. A total 13 species were identified at 12 stations within the tidal flat. The mean density was $20,267\;ind./m^2$, and mean biomass was $228.1g/m^2$. Dominant species in the Bongam tidal flat were all polychaetes: Prionospio japonicus ($11,716\;ind./m^2$, 57.8%) and Polydora ligni ($3,929\;ind./m^2$, 19.4%) of spionoid polychaete, and Neanthes succinea ($3,425\;ind./m^2$, 16.9%) of nereid polychaete. The most dominant species, P. japonicus distributed evenly all stations in the tidal flat. But N. succinea showed high density at the upper area of the tidal flat. Species diversity index (H') was in the range of 0.6 to 1.2 which is relatively low due to the prominent of P. japonicus and few species richness at each station. The study area was divided into two station groups (group A and B) based on the cluster analysis and MDS ordination, and the spatial distribution of macrozoobenthos on the Bongam tidal flat seemed to be in the influence of exposure duration from tidal levels and specific geological topography.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.30 no.4
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• pp.353-362
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• 2012

3D building modeling from airborne Lidar without model regularization may cause positional errors or topological inconsistency in building models. Regularization of 3D building models, on the other hand, restricts the types of models which can be reconstructed. To resolve these issues, this paper modelled 3D buildings from airborne Lidar by building model regularization which considers more various types of buildings. Building points are first segmented into roof planes by clustering in feature space and segmentation in object space. Then, 3D building models are reconstructed by consecutive adjustment of planes, lines, and points to satisfy parallelism, symmetry, and consistency between model components. The experimental results demonstrated that the method could make more various types of 3d building models with regularity. The effects of regularization on the positional accuracies of models were also analyzed quantitatively.

• Journal of Korea Multimedia Society
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• v.10 no.8
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• pp.981-996
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• 2007

In this paper, we describe a method that can recognize gestures by obtaining motion features information with principal factor analysis from sequential gesture images. In the algorithm, firstly, a two dimensional silhouette region including human gesture is segmented and then geometric features are extracted from it. Here, global features information which is selected as some meaningful key feature effectively expressing gestures with principal factor analysis is used. Obtained motion history information representing time variation of gestures from extracted feature construct one gesture subspace. Finally, projected model feature value into the gesture space is transformed as specific state symbols by grouping algorithm to be use as input symbols of HMM and input gesture is recognized as one of the model gesture with high probability. Proposed method has achieved higher recognition rate than others using only shape information of human body as in an appearance-based method or extracting features intuitively from complicated gestures, because this algorithm constructs gesture models with feature factors that have high contribution rate using principal factor analysis.