• 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.

• Food Science and Biotechnology
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• v.16 no.4
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• pp.650-654
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• 2007

Many vegetables contain oxalate at various levels depending on their type and family. Oxalate is known to reduce mineral bioavailability from foods. The following study was conducted to determine soluble and total oxalate contents in 32 plant samples commonly consumed in Korea using high-performance liquid chromatography (HPLC). Chard, amaranth, and spinach contained total oxalate of >1,000 mg/100 g. Approximately 45% of the oxalate in amaranth is insoluble, whereas 74.46 and 92.45% of the oxalates in chard and spinach, respectively, was soluble oxalates, which may be removed by blanching. Eggplant, carrot, leak, ginger root, spinach, burdock, and sweet pepper contained more than 90% soluble oxalate in total oxalate content. However, all oxalates detected in lettuce and celery were insoluble. Oxalate was not detected in shepherd's purse, bellflower root, garlic, radish root, broccoli, cabbage, onion, lotus root, adlay, cucumber, kale, and pumpkin. These observations provide useful information needed for selection of vegetables.

• Journal of the Korea Society of Computer and Information
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• v.17 no.9
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• pp.165-169
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• 2012

To analogize the result of the test through explaining the correlation of bone mineral density (BMD) test value between proximal femur and lumbar spine at age. It is based on 62 cases who visited the out-patient department. They were classified into three groups by age, group I (30~40 yr) and II (40~60 yr) and III (60~80 yr). Then we evaluated the average and the degree of correlation between the three groups and analyzed the correlation of the three sites according to the BMD result and T & Z-score through the t-test analysis. The results are listed below, first, if rise in age T-score is lower and over 60age occurred osteopenia, second, compared three groups, the correlation of BMD results was some of the highest between Lumbar spine and Proximal femur of T-score & Z-score. the correlation of BMD results is very high. It is regarded that there will be a clinical availability which can analogize the result of a part by using the result of the other part.

• Korean Journal of Remote Sensing
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• v.27 no.1
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• pp.1-7
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• 2011

Satellite imagery information have not been fully utilized due to the low R&D investment in remote sensing application though Korea had succeeded in developing series of earth observing satellites during the last decades. However, another series of earth observing satellites such as KOMPSAT 3, 3-A, 5 are going to be launched in the near future. And recent global warming issues stimulate both private and public sectors to make the most of satellite imagery information. Therefore, it is inevitable to promote the utilization of Korean satellite imagery information. In this study, we analyzed the demand and restrictions in exploitation of satellite imagery information in Korea through the online survey and interview. The results showed that the standardization of pre-processing, service of detailed technical information, fast and reliable image data delivery system are mostly required.

• Economic and Environmental Geology
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• v.39 no.5 s.180
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• pp.615-626
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• 2006

The natural resources and material life-cycle include all human activities related to resources and material extraction, transportation, processing, use, recovery and disposal. Sustainable material management (SMM) is an integrated set of policy approaches targeted on economic agents throughout the material life-cycles and designed to result in economically efficient and environmentally effective material use. The material flows of industrial mineral, ores and fossil fuels have also long been a focal area for environmental policies because of the high environmental pressures associated with extraction, processing, consumption, and final disposal of these materials. OECD work on material flow is to improve the quantitative and analytical knowledge bases about natural resource and material flows within and among countries, so as to better understand the importance of material resources in member countries' economies. In several EU Member States, material flow accounts are part of official statistics. Material flow analysis (MFA) is a valuation method which assesses the efficiency of use of materials using information from material flow accounting. Material flow analysis helps to identify waste of natural resources and other materials in the economy which would otherwise go unnoticed in conventional economic monitoring systems. Resource use and resource efficiency has emerged as a major issue for long-term sustainability and environmental policy.

• Spatial Information Research
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• v.7 no.2
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• pp.159-173
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• 1999

GIS has been regarded as one of important tools or methodologies for various geoscience applications. Recently, spatial data integration schemes for site-specific or field-specific thematic mapping are newly developed and utilized. However, these kinds of approaches are somewhat insufficient quantitative assessment of integrated layers towards known targets in-detailed . Moreover, GIS analysis scheme is rarely extended to scientific approaches. In this study, simple approach of Multi-Buffer Zone Analysis , related to GIS analystical aspect, is addressed and an actual application for predicting or favorable mapping of mineral occurrences, one of GIS-based geoscientific approaches, is performed, As for geo-processing in GIS itself, this scheme can be regarded as extension or adaptiation of cell-based buffering or proximity analysis to geoscientific data interpretation. This study is based on rationale that surface geological pattern around primitives such as a point, a line, or a polygon in GIS, representing significant geological features, can be efficiently utilized to delineate complex geological behaviors or events, especially handling multiple dta sets originated from multiple sources such as airborne geophysical/radiometric exploration, field survey, and even a classified image of remote sensing. Conclusively, this methodology associated wit GIS is though to be helpful to analyze the spatial pattern of multiple data, pointing given sources, and is expected to effectively utilize for exploratory analysis of cell-based resultant layer integrated with complex or different data sources.

• Journal of Nutrition and Health
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• v.35 no.7
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• pp.779-790
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• 2002

Nutritional factors affecting bone mineral density (BMD) in the different age groups of Korean women were investigated to obtain baseline data for maintaining bone health. Information on diet and anthropometry were collected in 80 elementary school children (height 127.2 cm, weight 27.3 kg), 84 high school students (height 161.6 cm, weight 52.4 kg), 100 adults aged 25 to 35 years (height 159.4 cm, weight 52.7 kg) and 120 elderly people over 60 years of age (height 150.9 cm, weight 55.6 kg). Data for nutrient intake were obtained by 24-hour recall method. BMDs of lumbar spine (L$_2$-L$_4$) and femoral neck were measured by dual energy x-ray absorptiometry. The relationship between BMD of femoral neck and nutritional factors were analyzed. The average BMD of femoral neck for females was 0.61 g/$\textrm{cm}^2$ in children, 0.88 g/$\textrm{cm}^2$ in adolescents, 0.90 g/$\textrm{cm}^2$ in adults, 0.64 g/$\textrm{cm}^2$ in elderly people. Among the adult subjects, 11.0% was classified as osteopenia in the femoral neck. For the elderly, the prevalence of osteopenia and osteoporosis were 34.2% and 47.5% of the subjects. It was shown the intake of energy, protein, plant protein, animal protein, fat, carbohydrate, Ca, P, Fe, vitamin A, thiamin, riboflavin, niacin, vitamin C, carbohydrate energy percent and fat energy percent influenced bone health status in all age groups. In the MAR on bone health status, children, adult and elderly subjects were significantly different among groups classified by bone health status and the MAR of the groups with good in bone health was higher. The RDA percent of each nutrient was influence factor on BMD. Nutrient intake of energy, protein, P, Fe, thiamin, niacin were lower BMD on below 75% of Korean RDA. Stepwise multiple regression analysis revealed that several dietary factors were influence on BMD. MAR on femoral neck BMD of children and elderly subjects was the highest influence factor. Beyond this, the most influential dietary factors on BMD were the vitamin A, total Ca and vegetable Ca. The above results have confirmed that dietary factors influence BMD in various age groups. Energy, protein, Ca, P, Fe, thiamin, riboflavin, niacin, vitamin C as well as MAR were important dietary factors influencing BMD. The results of this study revealed that people who received sufficient nutrients intake showed healthy bone status. The MAR mainly influenced the bone health status.

• 보존과학연구
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• s.27
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• pp.5-22
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• 2006

Mireuksa is a temple that was established in the Baekjea Period and continued around to the 16thcentury. The sites of the temple throughout diverse periods such as the United Shilla Period, KoryuPeriod, and Chosun Period including the one of the early temple in the late Baekjea Period were discovered. In those temple sites, there were lots of diverse artifacts discovered including artifacts in the Bronze Age. In this study, the compositions of four bronze bells excavated from Mireuksa site in Iksan were analyzed and the manufacturing technique of bronze bells was studied through the observation of microstructure. Also, the analytical cases of ancient bronze bells were collected and compared. Furthermore, the provenance study of the bronze bells site was attempted with the Pbisotope ratio. The results aim to offer crucial keys for discovering the aspect of society as well as information about the origin, development, and the route of propagation of ancient technologies. Bronze bell No. 1 showed an unexpected composition as Cu was found 98.5% in it. There were shown twins which were created by annealing and an even phase in the fine grains. It was also shown that bronze bell No. 2 and 4 had a high content of Pb although they showed a similar composition with general bronze bells in terms of Sn content. As shown in the analysis characteristics table of Korean bronze bell of this study, the ancient bronze bell used Pb of which content was limited to 2.12% in general, however, the results showed 15.5% and 13.2% respectively, which is an excessive amount. Asa result of analyzing inclusion in the microstructure of bronze bell No. 2, it was found that sulfide group mineral was used since there appeared S(14.55%). Also, it was proven that $CuFeS_2$ or$Cu_5FeS_4$ was used as a raw material because there was a small amount of Fe. As a result of analyzing inclusion of bronze bell No. 4, the bronze bell sample contained S(13.43%) and it is thought that sulfide group mineral was used, however, it had no Fe. Therefore, it is not connected to $CuFeS_2$ which is the main mineral of Korea. In addition, a strain line was shown with processing in bronze bell No. 2 and 4. As a result of provenance study of bronze bell No. 2 and 4 using the Pb isotope ratio, they or their raw materials are estimated to come from the southern China. Bronze bell No. 3 showed only Cu and Sn, and it is featured with a relatively low amount of Sn(6.63%). The microstructure has only phase, andintergranular corrosion was highly in progress.

• Journal of Preventive Medicine and Public Health
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• v.43 no.6
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• pp.479-485
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• 2010

Objectives: The Korean Genome and Epidemiology Study (KoGES), a multicenter-based multi-cohort study, has collected information on body composition using two different bioelectrical impedence analysis (BIA) machines. The aim of the study was to evaluate the possibility of whether the test values measured from different BIA machines can be integrated through statistical adjustment algorithm under excellent inter-rater reliability. Methods: We selected two centers to measure inter-rater reliability of the two BIA machines. We set up the two machines side by side and measured subjects' body compositions between October and December 2007. Duplicated test values of 848 subjects were collected. Pearson and intra-class correlation coefficients for inter-rater reliability were estimated using results from the two machines. To detect the feasibility for data integration, we constructed statistical compensation models using linear regression models with residual analysis and R-square values. Results: All correlation coefficients indicated excellent reliability except mineral mass. However, models using only duplicated body composition values for data integration were not feasible due to relatively low $R^2$ values of 0.8 for mineral mass and target weight. To integrate body composition data, models adjusted for four empirical variables that were age, sex, weight and height were most ideal (all $R^2$ > 0.9). Conclusions: The test values measured with the two BIA machines in the KoGES have excellent reliability for the nine body composition values. Based on reliability, values can be integrated through algorithmic statistical adjustment using regression equations that includes age, sex, weight, and height.

• Geophysics and Geophysical Exploration
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• v.22 no.3
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• pp.149-159
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• 2019

Borehole elemental concentration logging, measuring neutron-induced gamma rays by inelastic scattering and neutron capture interactions between neutron and formation, delivers concentrations of the most common elements found in the minerals and fluids of subsurface formation. X-ray diffraction and X-ray fluorescence analysis from core samples are traditionally used to understand formation composition and mineralogy, but it represents only part of formations. Additionally, it is difficult to obtain elemental analysis over the whole intervals because of poor core recovery zones such as fractures or sand layers mainly responsible for groundwater flow. The development of borehole technique for in situ elemental analysis plays a key role in assessing subsurface environment. Although this technology has advanced consistently starting from conventional and unconventional resources evaluation, it has been considered as exclusive techniques of some major service company. As regards domestic research and development, it has still remained an unexplored field because of some barriers such as the deficiency of detailed information on tools and calibration facility for chemistry and mineralogy database. This article reviews the basic theory of spectroscopy measurements, system configuration, calibration facility, and current status. In addition, this article introduces the domestic researches and self-development status on borehole elemental concentration tools.