• Journal of the Korean Geotechnical Society
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• v.25 no.9
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• pp.45-55
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• 2009

The quality of railroad trackbed fills has been controlled by field measurements of density and bearing resistance of plate-load tests. The control measures are compatible with the design procedures whose design parameter is $k_{30}$ for both ordinary-speed railways and high-speed railways. However, one of fatal flaws of the design procedures is that there are no simple laboratory measurement procedures for the design parameters ($k_{30}$ or, $E_{v2}$ and $E_{v2}/E_{v1}$) in design stage. To overcome the defect, the compressional wave velocity was adopted as a control measure, in parallel with the advent of the new design procedure, and its measurement technique was proposed in the preliminary investigation. The key concept of the quality control procedure is that the target value for field compaction control is the compressional wave velocity determined at optimum moisture content using modified compaction test, and direct-arrival method is used for the field measurements during construction, which is simple and reliable enough for practice engineers to access. This direct-arrival method is well-suited for such a shallow and homogeneous fill lift in terms of applicability and cost effectiveness. The sensitivity of direct-arrival test results according to the compaction quality was demonstrated at a test site, and it was concluded that compressional wave velocity can be effectively used as quality control measure. The experimental background far the companion study (Park et al., 2009) was established through field and laboratory measurements of the compressional wave velocity.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.3B
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• pp.279-289
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• 2006

The reconstruction of low dimension nonlinear behavior from the hydrologic time series has been an active area of research in the last decade. In this study, we present the applications of a powerful state space reconstruction methodology using the method of Support Vector Machines (SVM) to the Great Salt Lake (GSL) volume. SVMs are machine learning systems that use a hypothesis space of linear functions in a Kernel induced higher dimensional feature space. SVMs are optimized by minimizing a bound on a generalized error (risk) measure, rather than just the mean square error over a training set. The utility of this SVM regression approach is demonstrated through applications to the short term forecasts of the biweekly GSL volume. The SVM based reconstruction is used to develop time series forecasts for multiple lead times ranging from the period of two weeks to several months. The reliability of the algorithm in learning and forecasting the dynamics is tested using split sample sensitivity analyses, with a particular interest in forecasting extreme states. Unlike previously reported methodologies, SVMs are able to extract the dynamics using only a few past observed data points (Support Vectors, SV) out of the training examples. Considering statistical measures, the prediction model based on SVM demonstrated encouraging and promising results in a short-term prediction. Thus, the SVM method presented in this study suggests a competitive methodology for the forecast of hydrologic time series.

• Clinical and Experimental Pediatrics
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• v.51 no.8
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• pp.827-833
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• 2008

Purpose : Early identification of iron deficiency in young children is essential to prevent damaging long-term consequences. It is often difficult for the pediatrician to know which indices should be used when diagnosing these conditions especially in hospitalized young children. This study investigated the clinical significances of reticulocyte hemoglobin content in young children with acute infection. Methods : We studied 69 young children aged from 6 to 24 months admitted with acute infection in a single center. Venous blood was drawn to determine hemoglobin (Hb), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), hemoglobin content (CH), reticulocyte hemoglobin content (CHr), and red blood cell distribution width (RDW) using ADVIA 120 (Bayer Diagnostics, NY, USA). For evaluating iron status, iron, total iron binding capacity, ferritin and transferrin saturation (Tfsat) were determined. Iron deficiency was defined as Tfsat less than 20%, and iron deficiency anemia as Tfsat less than 20% and Hb level less than 11 g/dL. Results : In all, 47 were iron deficient; 17 of these had iron deficiency anemia. CHr was the only significant predictor of iron deficiency (likelihood ratio test=71.25; odds ratio=0.67; P<0.05). Plasma ferritin level had no predictive value (P=0.519). Subjects with CHr less than 27.4 pg had lower Hb level, MCH, CH, Tfsat, and iron levels than those with CHr 27.4 pg or more (P<0.05 for all). Conclusion : CHr level was a sensitive screening tool and the strongest predictor of iron deficiency in hospitalized infants with acute infection; it was cost saving and avoiding additional sampling. However its reference range should be established.

• Science of Emotion and Sensibility
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• v.12 no.4
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• pp.557-564
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• 2009

For scoring polygraph charts, the Prosecutors' Office of the Republic of Korea uses a consistency criterion in which an elevated signal on one physiological channel is scored as a deceptive response only if the signal is also elevated on other channels. In the current study, the effects of this scoring criterion on reliability and accuracy (validity) of polygraph scores were assessed. Polygraph tests on 26 suspects were evaluated twice by the same examiners. The examiners used the consistency criterion in the first evaluation. In the second evaluation, the examiners were prevented from using the criterion; the signals from each physiological channel were separated and randomly arranged before they were rescored by the same examiner. Reliability was assessed by the variation among the scores for each suspect. Accuracy was assessed by establishing a standard, based on a Latent Class Analysis model, using the results of polygraph tests on each of 182 additional suspects. Reliability and accuracy were both improved by the use of the consistency criterion which therefore was recommended.

• Journal of agricultural medicine and community health
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• v.41 no.4
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• pp.205-216
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• 2016

Objectives: We compared the difference of lipid, insulin resistance and metabolic markers based on HCV RNA in Korean adults.Methods: This was a cross-sectional study of 222 subjects visited the health promotion center of Pusan nationaluniversity hospital from 2004 to 2007. Subjects were anti-HCV antibody positive and were performed RT-PCR for HCV RNA. The HCV RNA (+) group were 85 subjects, HCV RNA (-) control group were 115 subjects, and the HCV RNA (-) but past positive group were 22 subjects. We performed anthropometry, anti-HCV, RT-PCR, plasma concentrations of insulin, total cholesterol, LDL-cholesterol, HDL-cholesterol, and triglyceride.Results: BMI, waist circumference, blood pressure, fasting plasma glucose, triglyceride, HDL cholesterol, insulin resistance such as HOMA-IR and QUICKI were not significantly different between HCV RNA positive and negative groups. The serum total cholesterol and LDL cholesterol level were significantly lower in the HCV RNA positive group than in the negative group ($186.24{\pm}37.63$ vs $197.22{\pm}37.23$ mg/dl, p=0.041, $111.66{\pm}34.06$ vs $121.38{\pm}35.50$ mg/dl, p=0.042). After adjusting age and sex, high total cholesterol (${\geq}200mg/dl$) (adjusted OR=0.51, 95%CI 0.28-0.94, p=0.03) and high LDL cholesterol (${\geq}130mg/dl$) (adjusted OR=0.46, 95%CI 0.24~0.87, p=0.02) were inversely associated with being HCV RNA positive (p<0.05). Conclusion: The serum total cholesterol and LDL-cholesterol level were significantly lower in HCV RNA (+) group than in HCV RNA (-) group, but not in HCV RNA (-) but past positive group. Prospective cohort studies are needed to clarify the relationship between HCV RNA and metabolic markers.

• Korean Journal of Remote Sensing
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• v.37 no.5_1
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• pp.1029-1042
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• 2021

As part of the next-generation Compact Advanced Satellite 500 (CAS500) project, CAS500-4 is scheduled to be launched in 2025 focusing on the remote sensing of agriculture and forestry. To obtain quantitative information on vegetation from satellite images, it is necessary to acquire surface reflectance through atmospheric correction. Thus, it is essential to develop an atmospheric correction method suitable for CAS500-4. Since the absorption and scattering characteristics in the atmosphere vary depending on the wavelength, it is needed to analyze the sensitivity of atmospheric correction parameters such as aerosol optical depth (AOD) and water vapor (WV) considering the wavelengths of CAS500-4. In addition, as CAS500-4 has only five channels (blue, green, red, red edge, and near-infrared), making it difficult to directly calculate key parameters for atmospheric correction, external parameter data should be used. Therefore, thisstudy performed a sensitivity analysis of the key parameters (AOD, WV, and O₃) using the simulated images based on Sentinel-2 satellite data, which has similar wavelength specifications to CAS500-4, and examined the possibility of using the products of GEO-KOMPSAT-2A (GK2A) as atmospheric parameters. The sensitivity analysisshowed that AOD wasthe most important parameter with greater sensitivity in visible channels than in the near-infrared region. In particular, since AOD change of 20% causes about a 100% error rate in the blue channel surface reflectance in forests, a highly reliable AOD is needed to obtain accurate surface reflectance. The atmospherically corrected surface reflectance based on the GK2A AOD and WV was compared with the Sentinel-2 L2A reflectance data through the separability index of the known land cover pixels. The result showed that two corrected surface reflectance had similar Seperability index (SI) values, the atmospheric corrected surface reflectance based on the GK2A AOD showed higher SI than the Sentinel-2 L2A reflectance data in short-wavelength channels. Thus, it is judged that the parameters provided by GK2A can be fully utilized for atmospheric correction of the CAS500-4. The research findings will provide a basis for atmospheric correction of the CAS500-4 in the future.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.8 no.4
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• pp.177-191
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• 2013

6th Industry reduced agricultural income and rural areas, the economic downturn is going to be activated is attracting attention as an alternative. 6th industry means that the integrated or linked, the manufacture and processing of secondary industry based on primary industry, the distribution and service of tertiary industry. Park Geun-hye government to realize the creative economy in agriculture as an alternative to specifically evaluate the 6th industries and suggests various policy alternatives. In addition, to support the development of models and analysis of best practices, including sleep studies are in progress. However, the 6th Industry management body for performing management level, technical level, the leader in comprehensive evaluation of competencies and indicators on the development of an evaluation study is insufficient. In this regard, the present study performed 6th industry management body for the management level, technical level, the leader competency evaluation indicators to develop a comprehensive evaluation by utilizing AHP method was developed indicators. The results achieved in Korea As different countries and the FTA as cheap agricultural imports increased 6th industry revenues associated with the management body is very likely to be worse. The endless competition to survive in the most important of the strategy for each individual project management body to operate on their own, rather than to strengthen internal capacity by strengthening linkages with other industries, products, and services that promote the sale will be. This also is that you need to improve revenue management body. Thus, all 6th industry management body at the location of their efforts to gain the trust of consumers will require, moreover, for each management body to build cooperation between the various measures will be sought. In addition to the smart era rapidly changing needs of customers, depending on the life cycle of products and services are getting faster and the new consumer is getting more and more tend to find new products. Thus, customers and management body 6th industry changes quickly and accurately predict market trends, and also to market new products and services that further efforts would be needed.

• Journal of Nutrition and Health
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• v.23 no.5
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• pp.309-316
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• 1990

The relationship between diet diversity and nutrient intake was studied. Diet diversity, caloric intake and dietary nutrient density values were examined as contributors to the level of selected nutrients with the use of data obtained from 14-day dietary records of 60 college women. The subjects were grouped into quartiles on the basis of level of intake of each of the specific nutrients. The indexes of diet diversity were the number of different food items and Shannon & Weaver's diversity index. Differences in diet diversity were found among nutrients and indexes. In general, calorie and protein intake were more diverse, on the other hand, intake of vitamins A and C were less diverse. With the exception of calcium, iron, vitamin $B_1$, niacin and vitamin C, the number of food items increased at each quartile of intake of specific nutrients. It was concluded that for some nutrients(as with fat), the number of food items consumed may be useful in estimating nutrient intakes. For other nutrients(as with calcium), utilization of nutrient-specific diversity indexes is necessary. Increased nutrient intake was accompanied by increased caloric intake(except vitamins A and C) and dietary nutrient density for all nutrients.

• Journal of Food Hygiene and Safety
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• v.34 no.5
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• pp.489-494
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• 2019

The appropriateness of introducing blockchain technology into food safety management systems was evaluated by conducting a survey of experts on the effectiveness and constraint evaluation indicators, and a portfolio analysis was conducted to set the priorities of blockchain application. The food safety management activities considered in this study were issuing documents on food import/export, food hygiene rating scheme, civil complaint management in the food sector, food- related certification, risk information management, and food traceability systems. The sectors that can be expected to be effective in the introduction of blockchain technology were food- related certification, food hygiene rating scheme, risk information management, and issuing documents on food import/export. In the case of food traceability systems and civil complaint management, the introduction of blockchain technology was not recommended due to ineffectiveness. From the evaluation of the constraints (e.g., technical limits, cost, legal amendment, personal information disclosure, timeliness, and ease of connection) to be overcome when introducing blockchain into food safety management, it was found that there are more than average constraints in all six areas. In particular, the food traceability system was evaluated to have the most constraints. Issuing documents on food import/export is very effective with the introduction of blockchain technology, but due to high cost and legal restrictions, it is necessary to improve the institutional system in order to introduce blockchain. Among the evaluation sectors, food- related certification, food hygiene rating scheme, and risk information management on foods were suitable for preferentially adopting blockchain technology since these areas might experience greatly improved reliability and transparency through the introduction of blockchain, with relatively low constraints.

• The Journal of Engineering Geology
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• v.26 no.2
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• pp.277-290
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• 2016

Deep geological cross-sectional data is generally not common nor easy to construct, because it is expensive and requires a great deal of time. As a result, geological interpretations at depth are limited. Many scientists attempt to construct geological cross-sections at depth using geological surface data and geophysical data. In this paper, we suggest a method for constructing cross-sections from limited geological surface data in a target area. The reason for this study is to construct and interpret geological cros-sections at depth to evaluate heat flow anomaly along the Yangsan fault. The Yangsan Fault passes through the south-eastern part of the Korean Peninsula. The cross-section is constructed from Sangbukmyeon to Unchonmyeon passing perpendicularly through the Yangsan Fault System trending NW-SE direction. The geological cross-section is constructed using the following data: (1) Lithologic distributions and main structural elements. (2) Extensity of sedimentary rock and igneous rock, from field mapping. (3) Fault dimension calculated based on geometry of exposed surface rupture, and (4) Seismic and core logging data. The Yangsan Fault System is composed of the Jain fault, Milyang fault, Moryang fault, Yangsan fault, Dongnae fault, and Ingwang fault which strike NNE-SSW. According to field observation, the western section of the Yangsan fault bounded by igneous rocks and in the eastern section sedimentary rocks are dominant. Using surface fault length we infer that the Yangsan Fault System has developed to a depth of kilometers beneath the surface. According to seismic data, sedimentary rocks that are adjacent to the Yangsan fault are thin and getting thicker towards the east of the section. In this study we also suggest a new method to recognize faults using core loggings. This analysis could be used to estimate fault locations at different scales.