• Korean Journal of Clinical Laboratory Science
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• v.50 no.3
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• pp.245-252
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• 2018

We evaluated the possible clinical application of Non HDL-cholesterol and triglyceride to HDL-cholesterol ratio as a metabolic syndrome predictor for the elderly in Korea. 1,543 elderly persons aged 65 years or older who visited the health examination center of Gyeonggi Regional General Hospital from January 2015 to December 2017 and had a health checkup were enrolled in this study. Metabolic syndrome was diagnosed based on the American Heart Association/National Heart, Lung, and Blood Institute (AHA/NHLBI) standards. Abdominal obesity was assessed by the Asia-Pacific standards presented at the World Health Organization (WHO) West Pacific Region. Non-HDL-cholesterol was calculated as the difference between total cholesterol and HDL-cholesterol. The metabolic syndrome predictive power was higher for triglyceride to HDL-cholesterol ratio than for Non HDL-cholesterol. After correcting for related factors, triglyceride to HDL-cholesterol ratio was higher in the $4^{th}$ quartile, which had a higher risk of developing metabolic syndrome, than in the $1^{st}$ quartile. The optimal cutoff value for the triglyceride to HDL-cholesterol ratio that predicts the onset of metabolic syndrome was 2.8. triglyceride to HDL-cholesterol ratio can be a simple and practical indicator of the risk of metabolic syndrome.

• Journal of Korea Spatial Information System Society
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• v.10 no.3
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• pp.55-65
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• 2008

For obtaining telematics traffic information(travel time or speed in an individual link), there are many kinds of devices to collect traffic data. Since the GPS satellite signals have been released to civil society, thank to the development of GPS technology, the GPS has become a very useful instrument for collecting traffic data. GPS can reduce the cost of installation and maintenance in contrast with existing traffic detectors which must be stationed on the ground. But. there are Problems when GPS data is applied to the existing filtering techniques used for analyzing the data collected by other detectors. This paper proposes a method to provide users with correct traffic information through filtering abnormal data caused by the unusual driving in collected data based on GPS. We have developed an algorithm that can be applied to real-time GPS data and create more reliable traffic information, by building patterns of past data and filtering abnormal data through selection of filtering areas using Quartile values. in order to verify the proposed algorithm, we experimented with actual traffic data that include probe cars equipped with a built-in GPS receiver which ran through Gangnam Street in Seoul. As a result of these experiments, it is shown that link travel speed data obtained from this algorithm is more accurate than those obtained by existing systems.

• Korean Journal of Clinical Laboratory Science
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• v.51 no.1
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• pp.42-49
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• 2019

This study compared the utility of the serum uric acid/creatinine ratio with that of uric acid as a risk predictor of metabolic syndrome. From November 2016 to October 2018, 14,190 adult men under the age of 20 years, who underwent a comprehensive health checkup at a general hospital in their metropolitan area, were included. Metabolic syndrome was assessed according to the American Heart Association/National Heart Lung and Blood Institute (AHA/NHLBI) criteria. Abdominal obesity was based on the WHO criteria in the Western Pacific region. The serum uric acid/creatinine ratio was found to be higher in the fourth quartile than in the first quartile, with a high incidence of metabolic syndrome and metabolic syndrome components. On the other hand, ROC analysis revealed the serum uric acid/creatinine ratio to be a similar indicator of the metabolic syndrome risk to serum uric acid (AUC, 0.554 vs 0.566). The serum uric acid/creatinine ratio showed lower sensitivity and higher specificity than uric acid. In conclusion, the utility of the serum uric acid/creatinine ratio as an independent indicator to predict the risk of metabolic syndrome is limited, and should be used only as an auxiliary marker.

• Journal of the Korea Society of Computer and Information
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• v.26 no.8
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• pp.209-220
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• 2021

The effect of body composition such as lean mass and fat mass on bone mineral density (BMD) is complex and still controversial. In this study, we investigated the relationship between body composition and bone mineral density using nation-wide data from 2008 to 2011 Korea National Health and Nutrition Examination Survey (KNHANES) in 2,139 men and 2,193 postmenopausal women aged 50 years or older. Subjects with history of medication for osteoporosis or with diseases or malignancy affecting bone metabolism were excluded. Data of anthropometric measurements and demographic characteristics were collected by trained examiner. Fasting blood sample was obtained for blood chemistry analysis. BMD of the lumbar spine, total femur, and femoral neck, and body composition such as total lean mass (TLM), total fat mass (TFM), truncal fat mass (TrFM) were measured using dual-energy X-ray absorptiometry (DXA). There were significant positive correlations between body composition indices such as lean mass and fat mass with BMD. In multiple regression analysis, TLM was positively associated with BMD after adjusting age, body mass index, monthly house income, education level, physical activity, daily calcium intake and vitamin D concentration in both men and postmenopausal women. BMD at lumbar spine and femur in lowest quartile of TLM was significantly lower than other quartiles after adjusting those confounding factors in both gender. TrFM was negatively associated with total femur BMD in male and femur neck BMD in postmenopausal women after adjusting confounding factors. In conclusion, TLM is very important factor in maintaining BMD in subjects aged 50 years or older in men and postmenopausal women.

• Korean Journal of Clinical Laboratory Science
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• v.54 no.2
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• pp.149-156
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• 2022

Lipid accumulation product (LAP) is a new index reflecting central lipid accumulation and is known to be a strong independent indicator for identifying the risk of cardiovascular disease (CVD) or diabetes mellitus (DM). This study was conducted to assess the relationship between the homeostasis model assessment of insulin resistance (HOMA-IR) and LAP according to the presence or absence of obesity in Korean adults. The study was carried out using data from the 2019 Korean National Health and Nutrition Examination Survey (KNHANES) and included 6,090 adults aged 20 years or older. There were several key findings. First, after adjusting for related variables, the mean of the HOMA-IR levels (M±SE, 95% confidence interval) was positively associated with the quartiles of LAP in the overall population (P<0.001), non-obese (P<0.001) or obese groups (P<0.001). Second, in all the groups (overall population, non-obese and obese groups), the mean value of the fasting blood glucose (all, P<0.001), insulin (all, P<0.001), and the metabolic syndrome score (all, P<0.001) increased with the increasing quartiles of LAP. Insulin resistance was thus positively associated with an increase in the LAP in Korean adults with or without obesity.

• Korean Journal of Clinical Laboratory Science
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• v.55 no.3
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• pp.167-173
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• 2023

This study assesses the urine microalbumin to urine creatinine ratio (uACR) with uric acid and the association with the high-density lipoprotein cholesterol (UA/HDL-C) ratio in Korean adults. Data from the 2019 Korean National Health and Nutrition Examination Survey was procured and included 5,845 adults aged 20 years or older. Several key findings were obtained in the present study. After adjusting for the related variables (age, gender, hypertension, obesity, type 2 diabetes mellitus, and chronic kidney disease), the uACR was found to be positively associated with the quartiles of the UA/HDL-C ratio (P=0.002). Moreover, after adjusting for related variables, the odds ratio (OR) of albuminuria (uACR≥30.0 mg/g) was not significant in quartile 2 (Q2) (OR, 1.015; 95% confidence interval [CI], 0.757~1.361) and Q3 (OR, 1.090; 95% CI, 0.811~1.465) but was significantly higher in Q4 (OR, 1.416; 95% CI, 1.044~1.921) as compared to Q1 of the UA/HDL-C ratio. We conclude that since the UA/HDL-C ratio is positively associated with albuminuria in Korean adults, an increased UA/HDL-C ratio could be applied as a useful measure to assess albuminuria in Korean adults.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.36 no.6
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• pp.407-414
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• 2023

In this study, an automated jack-up system, applicable to various fields, was employed for 3D concrete printing and developed as a simultaneous liftable 3D concrete printing system. This developed printing system enables safe and precise jack-up by monitoring the measured jack-up distance using Pearson correlation coefficient analysis and a hydraulic system with interquartile range analysis in real-time during 3D concrete printing operations. It is possible to secure the quality of 3D concrete printing structures, which is essential for expanding the application of 3D concrete printing to construct larger structures. Specimens were printed using both conventional 3D concrete printing and simultaneous liftable 3D concrete printing to evaluate the system performance. The printed specimens were investigated using a 3D scanner. The layer-wise diameter and angle of intersection of the scanned specimens were measured, and an analysis was performed to verify the advantages of the simultaneous liftable 3D concrete printing.

• Tunnel and Underground Space
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• v.27 no.5
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• pp.295-302
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• 2017

In this study, a new quantitative instrumentation and measurement standards applicable to the field of mining has been proposed to improve the problems of the current measurement practices that apply the measuring standards of the civil engineering field (road, railway, etc.). With the data coordination of the mine reclamation corporation, we collected data on ground subsidence in the abandoned mine area, and studied various techniques for establishing a new management reference value based on the manual measurement data measured in the field. As a result, new instrumentation and measurement standards is set up and proposed by using statistics like the average value, the third quartile, the 95% confidence, and the maximum value.

• The Korean Journal of Applied Statistics
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• v.18 no.1
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• pp.129-135
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• 2005

Representative observations are useful to express explicitly the distributional variation of the data by a few selected observations corresponding to the quantiles in the univariate situation. Jones and Rice(1992) extended it to the multidimensional case by the principal component based method. This study introduces a modified version of Jones and Rice exploiting the self-consistency of principal components in expressing the chosen observation vectors. Compared to that of Jones and Rice, the suggested method tends to provide with less susceptible representative observations to the sampling variation of the data and the resulted vectors benefits from the self-consistency.

• Journal of Korea Water Resources Association
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• v.43 no.11
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• pp.933-944
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• 2010

This study compares the CEM and SGS methods which are geostatistical stochastic simulation methods for assessing the uncertainty by spatial variability in the estimation of the spatial distribution of probability rainfall. In the stochastic simulations using CEM and SGS, two methods show almost similar results for the reproduction of spatial correlation structure, the statistics (standard deviation, coefficient of variation, interquartile range, and range) of realizations as uncertainty measures, and the uncertainty distribution of basin mean rainfall. However, the CEM is superior to SGS in aspect of simulation efficiency.