• Journal of Environmental Impact Assessment
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• v.12 no.2
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• pp.87-98
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• 2003

The main purpose of this study is to propose the integrated assessment model for the rational and effective selection of proposed sites in National Trust (NT) and conserve the ruined natural environment by excessive land development. The results of this study are as follows; 1) The specialists thought that rare and endangered species were very important in plant and animal, in case of landscape and environment, naturality and water quality were too important. 2) In the result of the correlation measure on the indicator of assessment, 'erosion of soil'and 'air pollutant'was highly correlative. Secondly, 'suspended solids' and 'erosion of soil'was high correlation. 3) In the result of forming the factors into the integrated indicators, they were classified into conditional, stable, valuable and potential factors and the purpose of this formation is to evaluate proposed sites in NT objectively and rationally with organic assessment. 4) In the integrated assessment model, the degree of explanation was observed approximately 36.4% and the important factor was the conditional factor, but we have to consider all factors for the effective and objective assessment. Therefore we organically have to apply and use them for the assessment of proposed sites in NT. It turns out to offer raw data on the land conservation and carry out the role of the instrument of measurement. As for future directions, the follow are proposed: 1) adaptation of real proposed site, 2) verification of effect and problem, 3) practical survey for diverse types as mountain, coast and inland.

• Hwankyungkyoyuk
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• v.18 no.3 s.28
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• pp.75-90
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• 2005

The purpose of this study was to analyze middle school students' consumption lifestyle and develop a program for measuring Ecological Footprint (EF) for them. For this study, 200 male and female middle school students in large cities, medium & small cities were selected to analyze their consumption lifestyle. It was also that the existing programs for measuring EF were studied and basic rules of setting up new EF indicators were established based on the results of survey and literature study. 15 indexes was selected by dividing the life areas into food, housing, traffic, goods and services areas and than the delpi computer programming tools was used to develop program for measuring EF in this study. The program for measuring EF can be used as educational materials for consumers' environment education in the areas of social environment education and school environment education. The followings are suggestions coming out of this study. First, it is required to revise and complement program for measuring EF analyzing the problems that occur when applying it to middle school students actually. Second, some data that used during normalization of EF ate originally from the USA. So it is necessary to change the data to meet the Korean situation. Third, it is necessary to have design work that can invite interests of students with consumers' environmental education materials through cooperation between environmental education experts and computer programmers. Fourth, it is necessary to have practical research with consumers' environmental education adding educational contents into EF measurement program. Fifth, it is necessary to develop a method for distribution an expansion of the program for measuring EF to make it usable in different types of environmental education materials.

• Journal of Sasang Constitutional Medicine
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• v.21 no.2
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• pp.123-136
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• 2009

1. Objectives : This study is a pilot study to construct of metabolic syndrome model with constitutional type. We focused on the correlation of Metabolic syndrome(MetS) and ordinary symptoms with Taeumin at 40. 2. Methods : 32 subjects who had taken health examinations and diagnosis of Sasang constitution from Oct 1, 2008 to Dec 31, 2008 at Kyung-Hee medical center were included and underwent B-mode ultrasonography for measurement of intima-media thickness of common carotid arteries. MetS was defined by the criteria of the criteria of the National Cholesterol Education Program Adult Treatment Panel III. 3. Results and Conclusions : Mean intima-media thickness of common carotid artery was higher in subjects with MetS compared with control subjects(0.56$\pm$0.12 vs 0.54$\pm$0.08mm) however. The ordinary symptoms shown to differentiate the MetS group and the control group were related to "dark urine color," "dryness of eyes," and "night sweat". Therefore, these ordinary symptoms can be said to be indicators of the Taeumin with Mets syndrome.

• YAKHAK HOEJI
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• v.58 no.1
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• pp.62-70
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• 2014

A 28-day repeated-dose oral toxicity test was performed to determine the no-observed-effect level (NOEL) and establish an optimum dose of the highly toxic Aconiti Ciliare Tuber (ACT) used as a folk remedy. Repeated oral doses of 1,250, 2,500, and 5,000 mg/kg/day of the hot water extract of ACT were administered to five male and five female Sprague-Dawley rats in each group for 4 weeks. The indicators for toxicity included results of examination of common symptoms and changes in weight and feed intake, eye test, urinalysis, hematological and serum biochemical analyses, and post-mortem weight measurement of organs, and visual inspections. All animals survived at the end of the experiment; in addition, we observed no specific test substance-mediated symptoms. We observed no test substance-mediated changes in body weight and feed intake. We observed statistically significant changes in male OB and pH levels (p<0.05). Further, the biochemical test showed statistically significant changes in the IP value of male rats and $CL^-$valueoffemalerats (p<0.05). However, all changes were within historical data. The post-mortem examinations showed no test substance-mediated changes. Moreover, statistically significant changes under the test conditions were confirmed to have been caused by factors other than the test substance. Thus, the maximum NOEL of ACT extract in rats was estimated to be 5,000 mg/kg/day.

• Journal of the Optical Society of Korea
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• v.14 no.3
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• pp.221-227
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• 2010

Aerosol size distribution provides good information for predicting weather changes and understanding cloud formation. Aerosol extinction coefficient and backscattering coefficient are measured by many scientists, but these parameters depend not only on aerosol size but on aerosol concentrations. An algorithm has been developed to measure aerosol parameters such as ${\AA}$ngstr$\ddot{o}$m exponent, color ratio, and LIDAR ratio without any assumptions by using two wavelength rotational Raman LIDAR signals. These parameters are good indicators for the aerosol size. And we can find ${\AA}$ngstr$\ddot{o}$m exponent, color ratio, and LIDAR ratio under various weather conditions. Finally, it can be seen that the ${\AA}$ngstr$\ddot{o}$m exponent has an inverse relationship to the particle size of the aerosol and the color ratio is linearly dependent on the aerosol size. An ${\AA}$ngstr$\ddot{o}$m exponent from 1.2 to 3.1, a color ratio from 0.28 to 1.04, and a LIDAR ratio 66.9 sr at 355 nm and 32.6 sr at 532 nm near the cloud were obtained.

• Journal of Preventive Medicine and Public Health
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• v.40 no.4
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• pp.297-304
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• 2007

Objectives : We investigated the validity of the dipstick method (Mossman Associates Inc. USA) and the expired CO method to distinguish between smokers and non-smokers. We also elucidated the related factors of the two methods. Methods : This study included 244 smokers and 50 ex-smokers, recruited from smoking cessation clinics at 4 local public health centers, who had quit for over 4 weeks. We calculated the sensitivity, specificity and Kappa coefficient of each method for validity. We obtained ROC curve, predictive value and agreement to determine the cutoff of expired air CO method. Finally, we elucidated the related factors and compared their effect powers using the standardized regression coefficient. Results : The dipstick method showed a sensitivity of 92.6%, specificity of 96.0% and Kappa coefficient of 0.79. The best cutoff value to distinguish smokers was 5-6ppm. At 5 ppm, the expired CO method showed a sensitivity of 94.3%, specificity of 82.0% and Kappa coefficient of 0.73. And at 6 ppm, sensitivity, specificity and Kappa coefficient were 88.5%, 86.0% and 0.64, respectively. Therefore, the dipstick method had higher sensitivity and specificity than the expired CO method. The dipstick and expired CO methods were significantly increased with increasing smoking amount. With longer time since the last smoking, expired CO showed a rapid decrease after 4 hours, whereas the dipstick method showed relatively stable levels for more than 4 hours. Conclusions : The dipstick and expired CO methods were both good indicators for assessing smoking status. However, the former showed higher sensitivity and specificity and stable levels over longer hours after smoking, compared to the expired CO method.

• Journal of the Economic Geographical Society of Korea
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• v.23 no.2
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• pp.182-196
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• 2020

The purpose of this study is to analyze the characteristics and performance of the High Line as an example of Industrial Heritage Regeneration, and to derive implications for setting the direction of urban regeneration. The results of this study are summarized as follows. First, five measurement elements were derived from governance, physical performance, economic performance, social performance and cultural performance as an analytical framework for analyzing the characteristics and performance of the high line as a case of industrial heritage regeneration, and a total of 15 indicators were selected for each element. Second, the analysis of the characteristics and performance of the High Line regeneration shows that the High Line regeneration project has resulted in the establishment of effective governance, the physical improvement considering historicity and placeness, and the economic revitalization of the underdeveloped mid-western region of Manhattan, while the drive-out of natives due to gentrification.

• Journal of Microbiology and Biotechnology
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• v.30 no.9
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• pp.1310-1320
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• 2020

Low-quality soil for land reuse is a crucial problem in vegetation quality and especially to waste disposal sites in mining areas. It is necessary to find suitable materials to improve the soil quality and especially to increase soil microbial diversity and activity. In this study, pot experiments were conducted to investigate the effect of a mixed material of humic acid, super absorbent polymer and biochar on low-quality soil indexes and the microbial community response. The indexes included soil physicochemical properties and the corresponding plant growth. The results showed that the mixed material could improve chemical properties and physical structure of soil by increasing the bulk density, porosity, macro aggregate, and promote the mineralization of nutrient elements in soil. The best performance was achieved by adding 3 g·kg^-1 super absorbent polymer, 3 g·kg^-1 humic acid, and 10 g·kg^-1 biochar to soil with plant total nitrogen, dry weight and height increased by 85.18%, 266.41% and 74.06%, respectively. Physicochemical properties caused changes in soil microbial diversity. Acidobacteria, Bacteroidetes, Chloroflexi, Cyanobacteria, Firmicutes, Nitrospirae, Planctomycetes, and Proteobacteria were significantly positively correlated with most of the physical, chemical and plant indicators. Actinobacteria and Armatimonadetes were significantly negatively correlated with most measurement factors. Therefore, this study can contribute to improving the understanding of low-quality soil and how it affects soil microbial functions and sustainability.

• Smart Structures and Systems
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• v.24 no.5
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• pp.567-585
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• 2019

In the past two decades, structural health monitoring (SHM) systems have been widely installed on various civil infrastructures for the tracking of the state of their structural health and the detection of structural damage or abnormality, through long-term monitoring of environmental conditions as well as structural loadings and responses. In an SHM system, there are plenty of sensors to acquire a huge number of monitoring data, which can factually reflect the in-service condition of the target structure. In order to bridge the gap between SHM and structural maintenance and management (SMM), it is necessary to employ advanced data processing methods to convert the original multi-source heterogeneous field monitoring data into different types of specific physical indicators in order to make effective decisions regarding inspection, maintenance and management. Conventional approaches to data analysis are confronted with challenges from environmental noise, the volume of measurement data, the complexity of computation, etc., and they severely constrain the pervasive application of SHM technology. In recent years, with the rapid progress of computing hardware and image acquisition equipment, the deep learning-based data processing approach offers a new channel for excavating the massive data from an SHM system, towards autonomous, accurate and robust processing of the monitoring data. Many researchers from the SHM community have made efforts to explore the applications of deep learning-based approaches for structural damage detection and structural condition assessment. This paper gives a review on the deep learning-based SHM of civil infrastructures with the main content, including a brief summary of the history of the development of deep learning, the applications of deep learning-based data processing approaches in the SHM of many kinds of civil infrastructures, and the key challenges and future trends of the strategy of deep learning-based SHM.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.414-425
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• 2021

The aim of this study is to measure and evaluate competitiveness of lifelong learning systems of BRICS countries in the respect of National Lifelong Learning System (NLLS). To analyze the data, this study used the mechanism model and 32 indicators and 12 sub-factors developed to measure the NLLS of developing countries. As a result of the Global Lifelong Learning Index (GLLI) measurement, China and Russia were relatively strong, while Brazil and South Africa formed the middle group. India scored relatively low. However, there are areas of lifelong education that each country should focus on, and this study compared and analyzed the strengths and weaknesses of the lifelong learning systems of each BRICS country. It is expected that the findings of this study will be used as standards to evaluate lifelong learning-related policies and make decisions to raise NLLS competitiveness, and as basic materials to know current NLLS situations of BRICS countries.