• Journal of the Korean Association of Geographic Information Studies
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• v.6 no.3
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• pp.43-60
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• 2003

The purpose of this study is to seek the methods of constructing a cultural information system based on GIS. It is impossible for regional culture to be formed apart from its surrounding space, so a study of culture should be based on realizing the features of its space. It is important to note that the elements composing a culture complicatedly interact with each other in their function and continuously change. Also they are interrelated in space and plentiful in their amount. Nevertheless, those studies practised so far in relation to culture and constructing cultural database are too limited in establishing cultural area or community life area required to recognize the regional identity. So it is now essential that we should study the methods of cultural expression surpassing objective historical and cultural site maps instead of simple maps depicting historical remains or sites. From this viewpoint, this study tries to find various cultural phenomena in relation to their space through seeking the methods of constructing the cultural database model using XML. In addition, this study tries to construct a base for increasing the utilization of information in making the cultural contents.

• Journal of the Korean Association of Geographic Information Studies
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• v.12 no.4
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• pp.136-145
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• 2009

Site characteristic is an important input parameter in the geologic hazard assessments including, but not limited to, earthquakes, liquefaction and landslides. Although it is a routine to use data collected by boreholes or seismic prospecting for site classifications, we used indirect methods using the geologic and the topographic maps. A site classification map in the Gyeongsang Province has been produced by GIS tools based on geologic age, rock types, and elevations from the geologic map and the topographic map of Korea. Site B (rock site) is dominant in the study area, although softer soils are observed along rivers and in reclaimed lands. We have found that 73% of the site classification results in the study are in concordance with those obtained from borehole data. Observed discrepancies are attributed to errors in the geologic and the topographic maps. For some sites, the origin of the differences is not clear, which requires a further field study or a drilling. Site classification from this study provides essential information for reliable hazard assessments of earthquakes, floods, landslides and liquefaction. Results obtained in the study also play a crucial role in land use planning for developing areas.

• Economic and Environmental Geology
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• v.52 no.2
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• pp.199-212
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• 2019

In the machine learning techniques, the sampling strategy of the training data affects a performance of the prediction model such as generalizing ability as well as prediction accuracy. Especially, in landslide susceptibility analysis, the data sampling procedure is the essential step for setting the training data because the number of non-landslide points is much bigger than the number of landslide points. However, the previous researches did not consider the various sampling methods for the training data. That is, the previous studies selected the training data randomly. Therefore, in this study the authors proposed several different sampling methods and assessed the effect of the sampling strategies of the training data in landslide susceptibility analysis. For that, total six different scenarios were set up based on the sampling strategies of landslide points and non-landslide points. Then Random Forest technique was trained on the basis of six different scenarios and the attribute importance for each input variable was evaluated. Subsequently, the landslide susceptibility maps were produced using the input variables and their attribute importances. In the analysis results, the AUC values of the landslide susceptibility maps, obtained from six different sampling strategies, showed high prediction rates, ranges from 70 % to 80 %. It means that the Random Forest technique shows appropriate predictive performance and the attribute importance for the input variables obtained from Random Forest can be used as the weight of landslide conditioning factors in the susceptibility analysis. In addition, the analysis results obtained using specific sampling strategies for training data show higher prediction accuracy than the analysis results using the previous random sampling method.

• Journal of the Korean earth science society
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• v.43 no.1
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• pp.176-187
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• 2022

Due to recent mid-scale earthquakes in the Korean Peninsula, the Korean central and local governments are preparing new measures for earthquake hazard mitigation. Geological and geotechnical information is essential for earthquake hazard assessment. Thus, related data have been collected and assimilated as DBs by various national organizations. However, several problems arise when local governments intend to use this information to establish earthquake hazard mitigation measures. In the case of the geological information, small-scale geological maps make it difficult to acquire detailed information, whereas lithofacies and faults do not often match at the boundaries of large-scale geological maps. Significant geotechnical information is lost due to lack of digitalization. Present study proposes four policy plans for geological and geological information management. First, it is necessary to link industry-academictechnology fields to use the information that has already been or to be produced more efficiently and professionally. Second, local government regulations are required to be enacted and revised to accumulate a lot of geological and geotechnical information. Third an expert system should be prepared to improve the quality of the information. Fourth, it is necessary to establish a dedicated department and expand budget support for efficient information management.

• Korean Journal of Remote Sensing
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• v.39 no.6_1
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• pp.1185-1193
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• 2023

The increasing interest in soil moisture data from satellite imagery for applications in hydrology, meteorology, and agriculture has led to the development of methods to produce variable-resolution soil moisture maps. Research on accurate soil moisture estimation using satellite imagery is essential for remote sensing applications. The purpose of this study is to generate a soil moisture estimation map for a test area using KOMPSAT-3/3A and KOMPSAT-5 SAR imagery and to quantitatively compare the results with soil moisture data from the Soil Moisture Active Passive (SMAP) mission provided by NASA, with a focus on accuracy validation. In addition, the Korean Environmental Geographic Information Service (EGIS) land cover map was used to determine soil moisture, especially in agricultural and forested regions. The selected test area for this study is the western part of Jeju, South Korea, where input data were available for the soil moisture estimation algorithm based on the Water Cloud Model (WCM). Synthetic Aperture Radar (SAR) imagery from KOMPSAT-5 HV and Sentinel-1 VV were used for soil moisture estimation, while vegetation indices were calculated from the surface reflectance of KOMPSAT-3 imagery. Comparison of the derived soil moisture results with SMAP (L-3) and SMAP (L-4) data by differencing showed a mean difference of 4.13±3.60 p% and 14.24±2.10 p%, respectively, indicating a level of agreement. This research suggests the potential for producing highly accurate and precise soil moisture maps using future South Korean satellite imagery and publicly available data sources, as demonstrated in this study.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2004.04a
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• pp.501-506
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• 2004

Korean cadastral system is primarily based on the graphical maps, thus, map reproduction by excessive shrinkage or extension, map mishandling and imperfection of surveying techniques have created cadastral non-coincident areas, which caused public distrust as well as considerable difficulties in land administration and policy making. Therefore, in this study, the methodologies for the resolution of the non-coincident problem are presented by means of a comparative analysis between cases of the non-coincident areas. The non-coincidence caused by the mismatch of parcel boundaries can be settled by introducing a coordinate-based system, namely $\ulcorner$Integrated Land Information System$\lrcorner$, meanwhile, those by other reasons can be done by establishing and executing a plan that can deliver the unification of the cadastral and the land registration systems. Governmental intention and budgetary measures for securing the project expenses are essential to make this feasible. If the comprehensive improvement project is completed, the cadastral registers that define the parcel boundary, area and ownership will recover public confidence, which in turn secures land owners' rights by promoting land markets and stabilizing land prices.

• The Journal of Korean Society for School & Community Health Education
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• v.9 no.1
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• pp.99-113
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• 2008

Background: School is a primary health education setting for students and the related continuous support should be provided to renovate school health education curriculum consistent to socio-cultural changes in Korean society. Objectives: This study was conducted to identify the principals' and teachers' needs and perceptions of health education topics for high school students and to analyze their conceptual map for health education curriculum in Korean high school. Methods: The sample size of the preliminary survey was 77 and that of the main survey was 276 who successfully participated in the survey among the high school teachers selected from the stratified sampling over Korea. The self-administered mailing survey was conducted to identify the factor structure of the health education topics and to analyze the conceptual properties with exploratory factor analysis and multidimensional scaling analysis in SPSS 12.0. Results: A total of 31 health education topics were generated from the preliminary survey. The five factors were determined: 'health promotion behavior and management', 'injury and sexual harassment prevention', 'bulling and aggression prevention', 'public regularity and safety perception' and 'smoking and drinking prevention'. The mean score of health education needs was between medium to high and 'public regularity and safety perception' had the highest score of education need. The two-dimensional cooperates were generated for the 31 health education topics and the two dimensional properties which divided the conceptual space were 'disease-injury' for one and 'public/environmental/individual/personal' for the other. Conclusions: Health education curriculum and its textbook should be developed considering teachers' needs and field environments for health education in every school. Therefore developing field-based health education curriculum and the textbooks should be the essential key to realize problem-solving health education for youth in real school fields.

• Publications of The Korean Astronomical Society
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• v.27 no.4
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• pp.117-122
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• 2012

The interstellar dust grains are formed and supplied to interstellar space from asymptotic giant branch (AGB) stars or supernova remnants, and become constituents of the star- and planet-formation processes that lead to the next generation of stars. Both a qualitative, and a compositional study of this cycle are essential to understanding the origin of the pre-solar grains, the missing sources of the interstellar material, and the chemical evolution of our Galaxy. The AKARI/MIR all-sky survey was performed with two mid-infrared photometric bands centered at 9 and $18{\mu}m$. These data have advantages in detecting carbonaceous and silicate circumstellar dust of AGB stars, and the interstellar polycyclic aromatic hydrocarbons separately from large grains of amorphous silicate. By using the AKARI/MIR All-Sky point source catalogue, we surveyed C-rich and O-rich AGB stars in our Galaxy, which are the dominant suppliers of carbonaceous and silicate grains, respectively. The C-rich stars are uniformly distributed across the Galactic disk, whereas O-rich stars are concentrated toward the Galactic center, following the metallicity gradient of the interstellar medium, and are presumably affected by the environment of their birth place. We will compare the distributions of the dust suppliers with the distributions of the interstellar grains themselves by using the AKARI/MIR All-Sky diffuse maps. To enable discussions on the faint diffuse interstellar radiation, we are developing an accurate AKARI/MIR All-Sky diffuse map by correcting artifacts such as the ionising radiation effects, scattered light from the moon, and stray light from bright sources.

• Journal of Korea Spatial Information System Society
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• v.10 no.4
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• pp.103-107
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• 2008

This study mainly focused on the development of real-time based damage investigation system using web-GIS. The study area was Gangseo-Gu in Busan where frequently has relatively higher magnitude of damages from natural disasters. GIS DB was built to provide geospatial data such as 1:1,000 and 1:5,000 topographic maps and IKONOS high resolution satellite data. The web-GIS system has demonstrated the higher contribution for the better response and recovery against any type of natural disasters through real-time communication and data dissemination among government agencies and personnel. However, further researches need to be made to improve system capabilities. In addition, for more effective system operation and maximizing the benefits of exploiting web-GIS system, linkage with national DB such as NDMS is essential.

• Journal of the Korea Convergence Society
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• v.9 no.8
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• pp.1-8
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• 2018

In the field of biometric security such as face and iris recognition, it is essential to extract facial features such as eyes and lips. In this paper, we have studied a method of detecting eye and lip region in face image using faster R-CNN. The faster R-CNN is an object detection method using deep running and is well known to have superior performance compared to the conventional feature-based method. In this paper, feature maps are extracted by applying convolution, linear rectification process, and max pooling process to facial images in order. The RPN(region proposal network) is learned using the feature map to detect the region proposal. Then, eye and lip detector are learned by using the region proposal and feature map. In order to examine the performance of the proposed method, we experimented with 800 face images of Korean men and women. We used 480 images for the learning phase and 320 images for the test one. Computer simulation showed that the average precision of eye and lip region detection for 50 epoch cases is 97.7% and 91.0%, respectively.