• Economic and Environmental Geology
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• v.40 no.6
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• pp.815-825
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• 2007

This study analyzed trends in geoscientific research funding provided by the Korea Science and Engineering Foundation (KOSEF) and examined strategies to promote geoscientific research. The strengths of geoscientific research in South Korea include the excellent academic quality of researchers, established research infrastructure, and inter-disciplinary research. Weaknesses include insufficient leadership in related societies and institutes, insufficient research productivity, and the exclusion of the field from nationally supported large-scale research projects. Opportunities for expanded research include environmental issues, the sustainable use of natural resources, the promotion of international research cooperation, and the initiation of national efforts to find solutions for regional problems. However, growth in the geosciences is threatened by prioritized investment in fields such as biotechnology, nanoscience, and information technology, a dismissive attitude toward the growth of basic sciences, and an increased demand for projects with visible economic and societal impacts. In terms of funding, group-based programs receive more support than individual-based programs. Between 1978 and 2006, KOSEF invested 1,744 billion won ($1.873 billion US) in a total of 46,748 basic research projects. Of this amount, 62.1 billion won ($66.7 million US) was allocated to 1,901 projects in the geosciences, which was roughly 2.6-10.6% of the money available in a given year. These funds were used to support research and development, the development and maintenance of necessary infrastructure, and the education and training of geoscientists.

• Journal of the Korean Dietetic Association
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• v.13 no.3
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• pp.240-249
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• 2007

The objective of this study was to investigate the relation of serum calcium level, body mass index(BMI) with bone status expressed as broadband ultrasound attenuation(BUA) measured by quantitative ultrasound (QUS) and the occurrence of osteopenia among adult men and women. Two hundred eleven(63 male and 148 female) workers who worked in 4 different battery factories were recruited from March 2005 to October 2005. BUA was used as a surrogate of bone mineral density and measured at left calcaneous bone area. The BUA value transformed into T-score by WHO standard conversion criteria to determine osteopenia (-2.5

• Journal of the Mineralogical Society of Korea
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• v.30 no.1
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• pp.1-9
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• 2017

This study investigated the effectiveness of Unmanned Aerial Vehicle (UAV) and 3D modeling on mine reclamation monitoring. The high spatial resolution of 3.8 cm ortho-mosaic image and Digital Elevation Model (DEM) are constructed based on UAV air survey. The ortho-mosaic image effectively shows mine reclamation activities and recognize objects and topological changes in the image. The comparative analysis of 3D models between UAV based DEM and report based DEM reveals that total amount of $268,672m^3$ additional dumping of contaminated soil is equivalent to 710,000 ton. It concludes that a UAV based survey enables high accuracy spatial information extraction for mine reclamation activities with high efficiency. It is expected that UAV survey will be very effectively used for preliminary data acquisition and project monitoring for mine reclamation activities.

• Journal of Nutrition and Health
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• v.39 no.2
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• pp.171-183
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• 2006

This study was conducted to examine dietary factors affecting bone status in the rural aged men. Quantitative ultrasound measurements (QUS) of bone, that may reflect certain architectural aspects of bone, have been shown to be associated with bone mineral density and fracture. Information of diet and anthropometry was collected in 164 aged men. Dietary intake data were obtained by 24-hour recall method. Measurements of the speed of sound (SOS, m/s), at distal radius, mid-tibia, phalanx, were performed using Omnisense 7000S analyzer (Sunlight Ltd., Tel Aviv, Israel). T-scores for bone SOS measurements at distal radius, mid-tibia and phalanx were 0.60, 0.03 and -0.42 respectively. The prevalence of osteopenia by use of the WHO criteria was 17.7% at the mid-tibia and 25.3% of the subjects at the distal radius. Age were negative association with bone SOS at three sites. Osteopenia group of radius were significantly lower in total foods and vegetable intakes than normal group. After adjusted for age, vegetable intakes were significantly and positively related to bone SOS at the radius. The bone SOS of the tibia were significantly and positively related to vegetable protein, iron, folate and vegetable intakes, but negatively related to fat intakes. Multiple regression analysis showed that bone SOS of tibia was positively associated with folate intakes. Vegetable intakes were positively associated with the bone SOS at three sites. These results indicate that the consumption of vegetables, sources of folate, may have a effect on bone status of men.

• Economic and Environmental Geology
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• v.52 no.5
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• pp.471-484
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• 2019

Liquefaction occurs by a temporal loss of sediment strength as a consequence of increased pore water pressure during the re-arrangement of unconsolidated, granular sediments. Liquefaction is dependent on the physical properties of the sediments and cause surface cracks, landslide, and the formation of soft-sediment deformation structures(SSDS). SSDS is formed by the combined action of the driving force and deformation mechanism(liquefaction, thixotropy, and fluidization) that is triggered by endogenic or exogenic triggers. So research on the SSDS can unravel syndepositional geological events. If detailed sedimentologic analysis together with surrounding geological context suggest SSDS formed by earthquakes, the SSDS provide a clue to unravel syndepositional tectonic activities and detailed paleoseismological information(> Mw 5) including earthquakes that leave no surface expression.

• Proceedings of the National Institute of Ecology of the Republic of Korea
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• v.2 no.1
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• pp.1-14
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• 2021

The study has been carried out with an objective to prepare Siberian roe deer habitat potential maps in South Korea based on three geographic information system-based models including frequency ratio (FR) as a bivariate statistical approach as well as convolutional neural network (CNN) and long short-term memory (LSTM) as machine learning algorithms. According to field observations, 741 locations were reported as roe deer's habitat preferences. The dataset were divided with a proportion of 70:30 for constructing models and validation purposes. Through FR model, a total of 10 influential factors were opted for the modelling process, namely altitude, valley depth, slope height, topographic position index (TPI), topographic wetness index (TWI), normalized difference water index, drainage density, road density, radar intensity, and morphological feature. The results of variable importance analysis determined that TPI, TWI, altitude and valley depth have higher impact on predicting. Furthermore, the area under the receiver operating characteristic (ROC) curve was applied to assess the prediction accuracies of three models. The results showed that all the models almost have similar performances, but LSTM model had relatively higher prediction ability in comparison to FR and CNN models with the accuracy of 76% and 73% during the training and validation process. The obtained map of LSTM model was categorized into five classes of potentiality including very low, low, moderate, high and very high with proportions of 19.70%, 19.81%, 19.31%, 19.86%, and 21.31%, respectively. The resultant potential maps may be valuable to monitor and preserve the Siberian roe deer habitats.

• Journal of Platform Technology
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• v.6 no.4
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• pp.69-77
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• 2018

In the case of personal information files containing personal information, there is insufficient awareness of personal information protection in end-point areas such as personal computers, smart terminals, and personal storage devices. In this study, we use Diffie-Hellman method to securely retrieve personal information files generated by web crawler. We designed SEED and ARIA using hybrid slicing to protect against attack on personal information file. The encryption performance of the personal information file collected by the Web crawling method is compared with the encryption decryption rate according to the key generation and the encryption decryption sharing according to the user key level. The simulation was performed on the personal information file delivered to the external agency transmission process. As a result, we compared the performance of existing methods and found that the detection rate is improved by 4.64 times and the information protection rate is improved by 18.3%.

• Economic and Environmental Geology
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• v.45 no.5
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• pp.579-587
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• 2012

The purpose of this study is to emphasize the necessity of extention of a government R&D planning scope. Presently, government R&D planning is focused on the selecting a R&D project. There is no R&D strategy for R&D conducting such as the composition of R&D team, collaboration and knowledge flow. Ordinarily these strategies are established by research director. This study analyzed the determinants of excellent R&D performance and proposed R&D strategy for R&D conducting using the patent bibliograpy information in energy resources production technology field. On the other hand, this study introduced the concept of technology lifecycle and showed that R&D strategy should be differentiated by technology lifecycle.

• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.314-317
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• 2004

The aim of this study was to evaluate the susceptibility from landslides in the Lai Chau region of Vietnam, using Geographic Information System (GIS) and remote sensing data, focusing on the relationship between tectonic fractures and landslides. Landslide locations were identified from an interpretation of aerial photographs and field surveys. Topographic and geological data and satellite images were collected, processed, and constructed into a spatial database using GIS data and image processing techniques, and a scheme of the tectonic fracturing of the crust in the Lai Chau region was established. In this scheme, Lai Chau was identified as a region with low crustal fractures, with the grade of tectonic fracture having a close relationship with landslide occurrence. The factors found to influence landslide occurrence were: topographic slope, topographic aspect, topographic curvature, distance from drainage, lithology, distance from a tectonic fracture and land cover. Landslide prone areas were analyzed and mapped using the landslide occurrence factors employing the probability-likelihood ratio method. The results of the analysis were verified using landslide location data, and these showed a satisfactory agreement between the hazard map and existing landslide location data.

• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.294-297
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• 2004

The purpose of this study was to develop landslide susceptibility analysis techniques using artificial neural networks and then to apply these to the selected study area of Janghung in Korea. We aimed to verify the effect of data selection on training sites. Landslide locations were identified from interpretation of satellite images and field survey data, and a spatial database of the topography, soil, forest, and land use was constructed. Thirteen landslide-related factors were extracted from the spatial database. Using these factors, landslide susceptibility was analyzed using an artificial neural network. The weights of each factor were determined by the back-propagation training method. Five different training datasets were applied to analyze and verify the effect of training. Then, the landslide susceptibility indices were calculated using the trained back-propagation weights and susceptibility maps were constructed from Geographic Information System (GIS) data for the five cases. The results of the landslide susceptibility maps were verified and compared using landslide location data. GIS data were used to efficiently analyze the large volume of data, and the artificial neural network proved to be an effective tool to analyze landslide susceptibility.