• 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.

• Journal of Cadastre & Land InformatiX
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• v.48 no.1
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• pp.201-213
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• 2018

In recent years, the number of traffic accidents caused by car accidents has been decreasing steadily due to traffic accident prevention activities in Korea. However, the number of accidents in Seoul is higher than that of other regions. Various studies have been conducted to prevent traffic accidents, which are human disasters. In particular, previous studies have performed the spatial analysis of traffic accidents by counting the number of traffic accidents by administrative districts or by estimating the density through kernel density method in order to identify the traffic accident cluster areas. However, since traffic accidents take place along the road, it would be more meaningful to investigate them concentrated on the road network. In this study, traffic accidents were assigned to the nearest road network in two ways and analyzed by hotspot analysis using Getis-Ord Gi* statistics. One of them was investigated with a fixed road link of 10m unit, and the other by computing the average traffic accidents per unit length per road section. As a result by the first method, it was possible to identify the specific road sections where traffic accidents are concentrated. On the other hand, the results by the second method showed that the traffic accident concentrated areas are extensible depending on the characteristic of the road links. The methods proposed here provide different approaches for visualizing the traffic accidents and thus, make it possible to identify those sections clearly that need improvement as for the traffic environment.

• Journal of the Korean Institute of Landscape Architecture
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• v.38 no.4
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• pp.106-127
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• 2010

Although multi-layer planting methods are more widely used as a method for clustered planting and environmental programs such as plant remediation, difficulties have been faced in applying those to planting design. This study develops a basic planting model that can be applied to multi-layer planting in basis on an analysis of forest structures in the Seoul area. An optimal number of clusters was determined through the ISA (Indicator Species Analysis), and 7 basic clusters were found through a cluster analysis by using PC ORD 4.0 software specifically developed for ecological analysis. The 7 basic clusters include the following communities: the Quercus acutissima Community, Sorbus alnifolia-Quercus mongolica Community, Pinus rigida-Pinus densifiora Community, Rododendron mucronulatum var. mucronulatum-Quercus mongolica Community, Juniperus rigida-Quercus mongolica Community, Rododendron mucronulatum var. mucronulatum-Pinus densiflora Community, and Rododendron sclippenbachii-Quercus mongolica Community. The study also selected 57 species with at least a 10% frequency among the plant species existing in the Seoul area and suggested both a companion species and available similar alternative species by conducting an additional interspecific association analysis. This study may help to enhance usefulness of the model in architectural planting design. In addition, the two results named above were synthesized to develop a multi-layer planting model that can be utilized in landscape planting design by selecting similar alternative species through the interspecific association analysis, which includes 7 clusters of natural plants. The multi-layer planting model can be widely applied to design planting because the model has an average target cover range based on the average value of a transformed likelihood.

• The Journal of Engineering Geology
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• v.3 no.1
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• pp.21-37
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• 1993

In order to investigate the correlation of sedimentary rock properties. specific gravity, porosity, water content, sonic wave velodty, and point4oad strength index of core samples of limestones, sandstones and shales were measured. The relationships between density and velocity show $V_p=16300d-38719.3,{\;}V_s1896.4d-29225.1$ of regression equation for sandstones and $Vp=4085d-10264.8,{\;}V_s=3519d-7841.3$ for shales and <$Vp=4085d^2-20747d+303,{\;}V_s=3899d^2-21442d+318$ for limestones. Seismic wave velocity of shales which have high density is lower than that of sandstones, and this seems to be an effect of bedding in shale. P-wave velocity and S-wave velocity of limestones, sandstones and shales show the linear relationships as a whole. The regression equations are respectively calculated V_s=0.26V_p+1041.6m/sec,{\;}V_s=0.43V_p+424.2m/sec,{\;}and{\;}Vs=0.51V_p+261.9m/sec$ and the correlation coefficients of the velocity show r= 0.86 in sandstones, r= 0.75 in limestones and r=0.86 in shales. According to the point4oad strength test for limestones, point4ord strength anisotropy was not so dear even though the specimens show generally the banded structure. Variations of dip angle of bedding whihin the range $30^{\circ}-60^{\circ}$ does not have much influence upon the diametral strength index and axial strength index. From the result of point load test, P-wave velocity increases with point4ord strength index but the regression equations are $V_p=98.5lI{s_d}+4082.1m/sec,{\;}V_p=106.41{s_a}+3954m/sec$ and their correlation coefficient is low.

• Journal of The Korean Society of Grassland and Forage Science
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• v.13 no.1
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• pp.31-37
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• 1993

It is important to improve the germination of grass seeds because they are poor germination under water stress. This experiment was conducted to investigate the response of seeds pre-treated individually with Polyethylene glycol 6000 (PEG) and growth regulators(GA$_3$, Kinetin, NAA) on the germination characteristics when two levels of osmotic potential (0, -5 bar) were put to seeds of Orchardgrass. In the untreated seeds, the total germination rate was decreased under water stress, and the mean germination time was delayed. Priming of Orchardgrass seeds using PEG or GA$_3$ resulted in improved germination under water stress(-5 bar), whereas the opposite was true of kinetin or NAA. The response of seeds primed in solutions of either -15 bar PEG or 100 ppm GA$_3$ was particulary marked compared with the untreated seeds. It is suggested that PEG and GA$_3$ may have positive regulatory effects in triggering the system for water stress alleviation. But the inhibitory effect of the water stress was not completely removed by allowing the seeds to pre-treat in solution of PEG or GA$_3$.

• Korean Journal of Agricultural Science
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• v.13 no.2
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• pp.193-197
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• 1986

This experiment was carried out to find out the effect of piglet anemia prevention of the chelated iron with amino acids fed to the sows during the late gestation and early lactation as compared with oral iron administration, intramuscular iron-dextran injection and control (receiving no iron supplement) groups. Twenty crossbred sows (Landrace ${\times}$ Large White) bred purebred Large White boars were used to evaluate four treatments. The results obtained in this experiment were as follows: 1. There were no significant differences among the average body weights at birth in all the treatment groups. But the average body weight at 15 days of age was heaviest in the chelated iron group. At 35 days of age, the control group was lightest in the treatment groups. 2. The survival rates at weaning were not recognized significantly among all the treatment groups. 3. At birth and 15 days of age, the levels of hemoglobin, red blood cell and hematocrit of the chelated iron group were higher (P<.05) than those of the control group. But at 35 days of age, they were not recognized significantly.

• Journal of Korean Society for Geospatial Information Science
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• v.23 no.3
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• pp.77-84
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• 2015

The key objective of this research is to review the effectiveness of spatial regression to identify the influencing factors of spatial distribution patterns of floating population. To this end, global and local spatial autocorrelation test were performed using seoul floating population survey(2014) data. The result of Moran's I and Getis-Ord $Gi^*$ as used in the analysis derived spatial heterogeneity and spatial similarities of floating population patterns in a statistically significant range. Accordingly, Geographically Weighted Regression was applied to identify the relationship between land use attributes and population floating. Urbanization area, green tract of land of micro land cover data were aggregated in to $400m{\times}400m$ grid boundary of Seoul. Additionally public transportation variables such as intersection density transit accessibility, road density and pedestrian passage density were adopted as transit environmental factors. As a result, the GWR model derived more improved results than Ordinary Least Square(OLS) regression model. Furthermore, the spatial variation of applied local effect of independent variables for the floating population distributions.

• Korean journal of applied entomology
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• v.17 no.1 s.34
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• pp.41-47
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• 1978

Pheromones of several insect species were evaluated in a screening program in terms of their usefulness in pest forecasting and control in Korea. Species included striped rite borer (Chilo suppressalis) and tortricid moths, which attack deciduous fruit, and colding moth. The pheromone of striped rice borer was supplied through the courtesy of the Tropical Products Institute, London. Pheromones of other species were obtained from Cornell University and the Zoecon Corporation of Palo Alto, California. 'rho results of this experiment were as follows: 1. Live traps containing virgin striped rice borer female moths were more effective in attracting male moths than were the pheromone traps. 2. Since the effectiveness of the striped rice borer pheromone decreased dramatically with time, it was difficult to estimate the peak tine of the borer emergence. 3. The primary species trapped in deciduous fruit orchards was the oriental fruit moth, Grapholitha molesta. The traps were baited with the phermones, OFM and LAW. 4. Several moth species were trapped with OBLR. RBLR. SPAR and ArcM phermones but few were trapped with the remaining eight tortricid pheromones. 5. The following tortricid pheromones might be useful for forecasting the species given: OFM, LAW : Grapholitha molesta OBLR : Archips breviprecanus OBLH, RBLR, ArcM : Archippus coreensis Archips fuscocupreanus Hoshinoa longicellana SPAR, TBM ; Phyroderces sp.

• Journal of Environmental Impact Assessment
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• v.28 no.6
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• pp.580-591
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• 2019

This study analyzed roadkill hotspots in Yeongju, Mungyeong-si Andong-si and Cheongsong-gun to compare the method of searching the area of the spatial cluster for selecting the roadkill hotspots. The local spatial autocorrelation index Getis-Ord Gi* statistics were calculated by different units of analysis, drawing hotspot areas of 9% from 300 m and 14% from 1 km on the basis of the total road area. The rating of Z-score in the 1km hotspot area showed the highest Z-score in the 28th National Road section on the border between Yecheon-gun and Yeongj-si. The kernel density method performed general kernel density estimation and network kernel density estimation analysis, both of which made it easier to visualize roadkill hotspots than district unit analysis, but there were limitations that it was difficult to determine statistically significant priority. As a result, local hotspot areas were found to be different according to the cluster analysis method, and areas that are in common need of reduction measures were found to be the hotspot of 28th National Road through Yeongju-si and Yecheon-gun. It is deemed that the results of this study can be used as basic data when identifying roadkill hotspots and establishing measures to reduce roadkill.

• Korean Journal of Soil Science and Fertilizer
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• v.17 no.2
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• pp.96-100
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• 1984

To give basic information on the agricultural mechanization and multiple cropping adoptability of the paddified clayey terrace soils which have poor permeability and poor adoptability to mechanization, a scheme of drainage classification as well as taxonomic classification was intended. 1. The degrees of gleization of terrace paddy soils were well distinguished by the comparison of "Redness rating" of their profiles. 2. When the criteria of "Imperfectly drained" soils were defined as follows; Soils have more than 50cm of accumulated depth which has less than 0.5 in Redness rating within 1.2m of the profile, the Geugrag series could be classified to "Imperfectly drained." The tentative classification of drainage class of Geugrag soils seemed to well matching with land suitability groups, and give possibility of drainage recommendation in the case of dry land crop cultivation. 3. The Geugrag soil which was well paddified by artificial surface irrigation, could be proposed to classify "Anthroaquic Ochraqualfs."