• Journal of the Korean Association of Geographic Information Studies
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• v.20 no.1
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• pp.71-84
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• 2017

Radon, which enters the interior environment from soil, rocks, and groundwater, is a radioactive gas that poses a serious risk to humans. Indoor radon concentrations are measured to investigate the risk of radon gas exposure and reliable radon concentration mapping is then performed for further analysis. In this study, we compared the predictive performance of various univariate kriging algorithms, including ordinary kriging and three nonlinear transform-based kriging algorithms (log-normal, multi-Gaussian, and indicator kriging), for mapping radon concentrations with an asymmetric distribution. To compare and analyze the predictive performance, we carried out jackknife-based validation and analyzed the errors according to the differences in the data intervals and sampling densities. From a case study in South Korea, the overall nonlinear transform-based kriging algorithms showed better predictive performance than ordinary kriging. Among the nonlinear transform-based kriging algorithms, log-normal kriging had the best performance, followed by multi-Gaussian kriging. Ordinary kriging was the best for predicting high values within the spatial pattern. The results from this study are expected to be useful in the selection of kriging algorithms for the spatial prediction of data with an asymmetric distribution.

• Journal of The Korean Association For Science Education
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• v.30 no.2
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• pp.234-248
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• 2010

This study was conducted among 52 elementary pre service teachers not majoring in the natural sciences, who were taking Earth Science as an elective course at the University of Education located in central Korea. These elementary pre service teachers participated in story writing on the subject of earth system cycles over eight occasions. Changes in their understanding of the Earth's cycles were verified by comparing mind mapping exercises performed before and after the story writing. Afterwards, 43 out of the 52 subjects volunteered for structured interviews, in which they performed story-telling exercises. This study presents examples of story analysis that uses a variation of the wheel-shaped story map, and proposes story mapping as a preferred method of analysis. Before and after creative story writing activities, pre service teachers' mind mapping is analyzed to study possible positive changes. This study identified a gap between the instructional contents of the Earth system unit included in the 7th and current revised school curriculums on the one hand, and the conceptions expressed by the pre service teachers who studied these contents on the other.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.384-384
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• 2011

전 세계적으로 유역단위 수문해석 모형으로 많이 사용되는 SWAT모형은 유역 내 수문 모의시, DEM을 기반으로 유역 평균경사도를 이용하여 경사도-경사장 관계식 산정 경사장을 유역 내모든 수문학적 반응단위(HRU:Hydrologic Response Unit)에 동일하게 적용하는 문제점이 있다. 특히 SWAT모형은 미국지형 기반으로 개발되었기 때문에 유역 평균 경사도가 25% 미만일 경우 유역 평균 경사장 인자가 매우 작은 값으로 산정되어 모두 동일하게 적용된다. 이는 SWAT모형의 수문 및 지하수 함양량 산정 시 우리나라 유역 특성이 제대로 반영되지 않는 채 모의가 이루어질 수 있는 문제를 초래할 수 있다. 따라서 이러한 문제점을 해결하기 위하여 본 연구에서는 강원 발전연구원에서 전수 조사한 실측 경사장 자료가 있는 강원도 양구군 해안면 만대천 유역을 연구 대상지역으로 선정하였고 지하수 함양량을 시공간적으로 분석 할 수 있게 개발 된 SWAT HRU Mapping module에 실측 경사장 자료를 이용하여 2009년 실측 경사장(274m) 적용과 임의의 경사장(5m) 적용에 따른 유출량 및 지하수 함양량을 비교 분석 하였다. 임의의 경사장을 5m로 선정한 이유는 SWAT모형에서 소유역의 경사도가 25%이상일 경우 소유역의 경사장을 모두 0.05m로 산정하여 모두 동일하게 적용하기 때문에 실측 경사장(평균 274m)과 대조군으로 비교하기 위하여 임의의 경사장을 5m로 선정하였다. 2009년 해안면 만대천 유역의 총 강우량은 1341mm이며 실측경사장 및 임의 경사장 적용에 따른 유출특성별 유출량을 비교해보면 직접유출 결과는 두 가지 경사장 모두 큰 차이를 나타내지 않았지만 평균 경사장이 증가 할수록 중간유출은 줄어들고 기저유출이 급격하게 증가하는 것으로 분석되었다. 또한 2009년 만대천 유역의 월별지하수 함양량은 실측경사장과 임의의 경사장 적용에 따라 각각 591mm/yr(함양율 44%) 와 293mm/yr(함양율 22%) 로 나타났으며, 중간유출이 줄고 기저유출이 증가 할수록 지하수함양량 역시 증가 하는 것으로 나타났다. 따라서 SWAT모형에서 기저유출을 정확히 해석하고 지하수함양량을 제대로 산정하기 위해서는 실측 경사장에 적용에 따른 모형의 검 보정이 반드시 이루어져야 한다고 판단된다.

• Journal of The Korean Association For Science Education
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• v.24 no.5
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• pp.805-813
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• 2004

Our educational system clearly places much greater value on left hemisphere learning. Students who process information in other ways are at a serious disadvantage and may not be learning efficiently. Since mind mapping emphasizing visual and spatial language, it helps students to use the whole brain and promotes more effective comprehension. The purpose of this research was to determine the effects of the instruction using mind map on the science achievement of students. A pretest-posttest control group design was employed. Subjects were 153 male and female, first grade students in a middle school. A control group of 83 was instructed with a traditional teaching method, and an experimental group of 70 was instructed by using a mind mapping strategy. Two groups were treated for 50 hours during 17 weeks. Tolerance's 'Style Of Learning And Thinking(SOLAT)' was used to assess students' lateralization preferences. A 30-item multiple choice posttest was used to assess students' achievement. To analyze the data, we used an analysis of covariance(ANCOVA) and i-tests. It was found that 21.6% of students was left brain dominant, 31.4%, right brain dominant and 47.1 % was integrated style. There was no gender difference in hemispheric dominance. Significant differences existed between the test scores when they were taught by using a mind map. Mind mapping turned out to be a valuable learning technique for the right brain students, helping them to achieve the same level of subject mastery as left brain students. There was a significant difference between males and females in relation to mind map application. Female scored significantly higher than males.

• Journal of the Korean association of regional geographers
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• v.22 no.1
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• pp.251-266
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• 2016

Intelligent interpolation methods such as dasymetric mapping are considered to be the best way to disaggregate zone-based population data by observing and utilizing the internal variation within each source zone. This research reviews the advantages and problems of the dasymetric mapping method, and presents a geographically weighted regression (GWR) based method to take into consideration the spatial heterogeneity of population density - land cover relationship. The locally adaptive intelligent interpolation method is able to make use of readily available ancillary information in the public domain without the need for additional data processing. In the case study, we use the preclassified National Land Cover Dataset 2011 to test the performance of the proposed method (i.e. the GWR-based multi-class dasymetric method) compared to four other popular population estimation methods (i.e. areal weighting interpolation, pycnophylactic interpolation, binary dasymetric method, and globally fitted ordinary least squares (OLS) based multi-class dasymetric method). The GWR-based multi-class dasymetric method outperforms all other methods. It is attributed to the fact that spatial heterogeneity is accounted for in the process of determining density parameters for land cover classes.

• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.1
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• pp.1-15
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• 2012

Marine scientific monitoring, including monitoring of oil pollution, marine ecosystems, and the marine environment in general, has been being carried out continuously in order to assess the impact of oil pollution since the Hebei Spirit oil spill in December 2007. GIS thematic maps containing visual and summarized information are very useful for conducting exploratory analyses on the spatio-temporal variability of the marine environment and marine ecosystems due to oil pollution. Defining map types and building a legend in accordance with data characteristics are essential elements for mapping. In the present study, map types were defined according to the data attributes and GIS data types for each data item and classification of data intervals for the legend was defined by using two data distribution types through a histogram analysis. The data interval method was defined as follows: If the histogram of data has a uniform distribution, an equal interval method is applied; in the case of a normal distribution, a standard deviation method is applied. In addition, thematic map templates were made for each map type through the definition of marginal elements. Through the establishment of systematic mapping methods and procedures in this study, it was possible to effectively make standardized thematic maps for various kinds of marine scientific data.

• The Journal of the Korea Contents Association
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• v.17 no.9
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• pp.498-509
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• 2017

Caregiving supports have been provided to decrease caregiving burdens of families of children with disabilities, but there are needs for improving caregiving services. The purpose of this study was to conceptualize content items and domains of caregiving supports from the perspectives of parents and service providers in order to help families of children with disabilities to decrease their caregiving burdens. This study used concept mapping that was useful for service-needs identification and program development. First, focus group interviews with two parent groups and one service provider group were conducted to generate a total of 31 items. Also, they sorted the items in terms of conceptual similarity and rated the items in terms of their needs. Next, the sorting data were analyzed using multidimensional scaling and cluster analysis and the rating data were calculated for mean. The results provided 31 content items in four domains: regular caregiving, activity-based caregiving, parent empowerment for caregving, and strengthening family relationships. All the domains were rated as important to decrease caregiving burdens. This study has practical implications for improving caregiving services and the related policies.

• The Journal of the Korea Contents Association
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• v.9 no.9
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• pp.97-104
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• 2009

This paper describes comparison and analysis of methodology which enables us in order to search the projection technique of optimum for projection in the plane. For this methodology, we applies the high-dimensional facial motion capture data respectively in linear and nonlinear projection techniques. The one core element of the methodology is to applies the high-dimensional facial expression data of frame unit in PCA where is a linear projection technique and Isomap, MDS, CCA, Sammon's Mapping and LLE where are a nonlinear projection techniques. And another is to find out the methodology which distributes in this low-dimensional space, and analyze the result last. For this goal, we calculate the distance between the high-dimensional facial expression frame data of existing. And we distribute it in two-dimensional plane space to maintain the distance relationship between the high-dimensional facial expression frame data of existing like that from the condition which applies linear and nonlinear projection techniques. When comparing the facial expression data which distribute in two-dimensional space and the data of existing, we find out the projection technique to maintain the relationship of distance between the frame data like that in condition of optimum. Finally, this paper compare linear and nonlinear projection techniques to projection high-dimensional facial expression data in low-dimensional space and analyze it. And we find out the projection technique of optimum from it.

• Journal of Korean Tunnelling and Underground Space Association
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• v.22 no.3
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• pp.239-248
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• 2020

Exact rock classification helps suitable support patterns to be installed. Face mapping is usually conducted to classify the rock mass using RMR (Rock Mass Ration) or Q values. There have been several attempts to predict the grade of rock mass using mechanical data of jumbo drills or probe drills and photographs of excavation surfaces by using deep learning. However, they took long time, or had a limitation that it is impossible to grasp the rock grade in ahead of the tunnel surface. In this study, a method to predict the Q value ahead of excavation surface is developed using recurrent neural network (RNN) technique and it is compared with the Q values from face mapping for verification. Among Q values from over 4,600 tunnel faces, 70% of data was used for learning, and the rests were used for verification. Repeated learnings were performed in different number of learning and number of previous excavation surfaces utilized for learning. The coincidence between the predicted and actual Q values was compared with the root mean square error (RMSE). RMSE value from 600 times repeated learning with 2 prior excavation faces gives a lowest values. The results from this study can vary with the input data sets, the results can help to understand how the past ground conditions affect the future ground conditions and to predict the Q value ahead of the tunnel excavation face.

• Journal of the Korean Association of Geographic Information Studies
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• v.22 no.3
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• pp.155-166
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• 2019

Road infrastructure has increased explosively due to economic development after industrialization and at present road infrastructure is being changed and increased by construction of new roads and maintenance and expansion of existing roads. Such road infrastructure should support safe driving. Road management plays an important role in safe driving. The purpose of this dissertation is to verify predictability of dangerous sections by analyzing road geometrical structure such as surface irregularity and superelevation for some sections in Central Inland Expressway by MMS and present ways of managing roads using MMS. Having analyzed surface irregularity of roads by using MMS, it was found that over 50 percent of all eight sections, targets of this study need betterments and for superelevation, over 50 percent of two sections goes against superelevation standard. Targets of this study are sections that accidents occurred frequently based on history of past accidents and predictability of dangerous sections can be verified through analysis of road geometrical structure using MMS. Using MMS data created by construction of high definition maps which are being undergone for all roads and methods proposed by this study will help investigate dangerous sections efficiently according to road environment. A result of MMS can be used for maintenance of road furniture.