• Korean Journal of Adult Nursing
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• v.23 no.3
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• pp.298-307
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• 2011

Purpose: The purpose of this study was to examine the effects of physical activity on glycemic control among Koreans with type 2 diabetes. Methods: A total of 215 patients with type 2 diabetes (82 male and 133 female) were recruited (mean age = $59.0{\pm}9.7$ years). The amounts of physical activity was assessed using the physical activity scale for elderly (PASE). Fasting blood glucose (FBG), Hemoglobin A1c ($HbA_1c$), and 2 hours post-prandial glucose (2hrPG) were measured. Results: The highest PASE score was housework-related physical activity. However, the amounts of walking was significantly higher in good FBG level (Z = 1.39, p=.041) and the amounts of leisure-time physical activity was higher in good HbA1 and 2hrPG level than in the poor glycemic control group (Z = 2.29, p<.001; Z = 1.99, p=.001). A logistic regression analysis showed that patients with leisure-time physical activity in the top quartile more likely presented with good glycemic control in $HbA_1c$, OR=3.84 (95% Confidence Interval (CI) = 1.65~8.95) and in 2hrPG, OR=4.06 (95%CI = 1.77~9.27), compared to patients in the lowest quartile. Conclusion: Leisure-time physical activity is effective for controlling the glucose levels, especially $HbA_1c$ and 2hrPG among type 2 diabetic patients. It is suggested that health providers need to more focus on providing aggressive recommendations on physical activity considering physical activity patterns by individuals.

• Analytical Science and Technology
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• v.13 no.2
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• pp.179-188
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• 2000

Trace elements in air samples artificially loaded on filters with urban dust and the bulk material of urban dust as an environmental sample were determined non-destructively using instrumental neutron activation analysis. Standard reference material (Urban Dust, SRM 1648) of the National Institute of Standard and Technology was used for the analytical quality control. The relative error for 37 elements was less than 15% and the standard deviation was less than 10%. 29 elements in the urban dust and 21 elements in the loaded filter sample were determined respectively. To evaluate the proficiency and reliability of the measurement, data intercomparison was performed and 39 analytical laboratories participated in the analysis using different analytical methods; neutron activation analysis, particle induced X-ray emission analysis, X-ray fluorescence analysis and atomic absorption spectrometry. Z-scores were calculated using the standard deviation of the laboratorie's mean as target standard deviation, and a good result was obtained that the values fall between -1 and +1 except some elements.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.3
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• pp.223-235
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• 2020

In this study, we propose an approach for calibrating the elevation of a DEM (Digital Elevation Model), one of the key data in realizing unmanned aerial vehicle image-based precision agriculture. First of all, radiometric correction is performed on the orthophoto, and then ExG (Excess Green) is generated. The non-vegetation area is extracted based on the threshold value estimated by applying the Otsu method to ExG. Subsequently, the elevation of the DEM corresponding to the location of the non-vegetation area is extracted as EIFs (Elevation Invariant Features), which is data for elevation correction. The normalized Z-score is estimated based on the difference between the extracted EIFs to eliminate the outliers. Then, by constructing a linear regression model and correcting the elevation of the DEM, high-quality DEM is produced without GCPs (Ground Control Points). To verify the proposed method using a total of 10 DEMs, the maximum/minimum value, average/standard deviation before and after elevation correction were compared and analyzed. In addition, as a result of estimating the RMSE (Root Mean Square Error) by selecting the checkpoints, an average RMSE was derivsed as 0.35m. Comprehensively, it was confirmed that a high-quality DEM could be produced without GCPs.

• Science of Emotion and Sensibility
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• v.16 no.3
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• pp.373-386
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• 2013

In this research, we specify the image consumers' preferred image quality ranges based on objective image quality evaluation factors and follow a method which measures preference of the natural image scenes. In other words, according to No-Reference, we select dynamic range, color, and contrast as factors of image quality measurements. For collecting sample images, we choose the preferred 200 landscapes which have over 30 recommendations by image consumers on the internet photo gallery. According to the scores of three objective factors of image quality measurements, the final expected score which means the image quality preference is measured and its total score is 100 points. In the main test, the actual image sample shows dynamic range 10 stop, LAB mean value L:54.7, A:2.96, B:-15.84, and RSC contrast 376.9. Total 200 image samples' normal distribution z value represents in dynamic range 0.21, LAB mean value L:0.15, A:0.38, B:0.13, and RSC contrast 0.08. In the standard normal distribution table, we can convert the z value as a percentage; dynamic range is 8.32%, LAB mean value is L:5.96%, A:14.8%, B:5.17%, and RSC contrast is 3.19%. And then, we convert the percentage values into the scores of 100; dynamic range is 91.68, LAB mean value is 91.36, and RSC contrast is 96.81. Therefore, we can conclude that the sample image's total mean score is 94.99 based on three objective image quality factors. Throughout our proposed image quality assessment model, we can measure the preference value of natural scenes. Also, we can specify the preferred image quality representation ranges and measure the expected image quality preference.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.23 no.2
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• pp.154-162
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• 2020

Purpose: The Cow's Milk-related Symptom Score (CoMiSS^TM), which considers crying, regurgitation, stools, skin and respiratory symptoms, was developed as an awareness tool for evaluating cow's milk-related symptoms. The scoring ranges from 0 to 33. A score ≥12 was proposed as being likely cow's milk-related and suggestive of allergy to cow's milk. This study aimed to determine the age-related CoMiSS^TM values in presumed healthy infants in Poland. Methods: This was a cross-sectional study conducted in well-child clinics in two locations. Parents of the presumed healthy infants aged ≤6 months were approached during a routine checkup/vaccination visit. The exclusion criteria were as follows: presence of acute or chronic diseases, preterm delivery, treatment with therapeutic formula, and use of any food supplements (except vitamins) or medications. Results: Data from 226 infants were obtained (median age [Q1-Q3], 4 months [3-4]). The overall median (Q1-Q3) and mean (standard deviation) CoMiSS^TM values were 4 (2-7) and 4.7 (3.5), respectively. The 95th percentile was 11. Scores on some, albeit not all, components of the CoMiSS^TM significantly differed between age groups (crying, stools) or feeding type groups (stools and skin symptoms). Eleven children (4.9%) scored ≥12. Conclusion: This study adds to earlier age-related CoMiSS^TM data by providing CoMiSS^TM values in presumed healthy infants in Poland.

• Journal of radiological science and technology
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• v.22 no.2
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• pp.41-46
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• 1999

Osteoporosis, which causes mainly fracture of the spine, proximal femur and distal radius by minimal trauma, is a major public health problem and its prevalence is steadily increasing in Korea according to the development of public health care. There are reliable methods for diagnosis based on bone densitometry. Early detection and intervention are important for reducing the incidence of fractures. A consensus definition of osteoporosis, based on bone density measurement, has been developed by the World Health Organization(WHO). In this study, bone mineral density(RMD) was measured by dual energy x-ray absorptiometry(DEXA) at the proximal femur and lumbar spine in 132 post-menopausal women. The purpose of this study is to find influential factors on the BMD of the proximal femur and the lumbar spine and to analyze correlation between BMD and the problematic factors. We obtained the following results : 1. Mean BMD score, T-score and Z-score of the proximal femur were $0.81(g/cm^2)$, -2.45(S.D.) and -2.09(S.D.) respectively and in the lumbar spine were $0.83(g/cm^2)$, -2.02(S.D.), -2.43(S.D.) respectively. 2. In correlation analysis between BMD and many factors, correlation coefficients were -0.467, 0.212, -0.321 and 0.241 in age, height, duration after menopause respectively. BMI and the residuals were comparatively small. 3. Correlation coefficients to age matched BMD, in height and body weight were 0.222 and 0.241, in age and duration after menopause were -0.268, -0.282. 4. The fracture threshold of proximal femur BMD to the 90th percentile was $0.845(g/cm^2)$. 5. At the result of multiple regression analysis, age, body weight, $BMI(kg/m^2)$ and duration after menopause described as significant variables.

• Childhood Kidney Diseases
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• v.13 no.2
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• pp.176-188
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• 2009

Purpose : Peritoneal dialysis (PD) is the major form of dialysis in use for infants and children with end-stage renal disease (ESRD). The aim of this study was to gain insight into the current status of children on PD in Korea. Methods : In May 2008, questionnaires were sent to the pediatric nephrologists via e-mail. Four centers replied and those data were reviewed. Results : A total of 103 patients were included in this study. Male to female ratio was 1.6:1. Mean age was $11.5{\pm}4.9$ years (0-19 years). Primary renal diseases diagnosed were as follows: primary glomerular disease (34%), chronic pyelonephritis-reflux nephropathy (14.6%), systemic disease (9.7%), renal hypoplasia/dysplasia (8.7%), heredofamilial disease (6.8%), vascular disease (3.9%), drug-induced nephropathy (1.0%), and unknown (12.6%). PD modalities were as follows: CAPD (42.7%), CCPD (27.2%), NIPD (11.7%), and Hybrid (18.4%). Weekly total Kt/V was $2.1{\pm}0.7$ (0.3-4.1). Results of peritoneal equilibrium test were as follows: low 36.8%, low average 31.6%, high average 19.7%, and high 11.8%. Z-score for weight was $-1.00{\pm}1.20$ (-4.54~+2.50). Z-score for height was $-1.55{\pm}1.65$ (-9.42~+1.87). Growth hormone was administered in 24.3% of patients. Anti-hypertensive drugs were administered in 64.0% of patients. Laboratory findings were as follows: hemoglobin $10.5{\pm}1.4$ g/dL, calcium $9.7{\pm}0.7$ mg/dL, phosphorus $5.4{\pm}1.4$ mg/dL, and parathyroid hormone $324.2{\pm}342.8$ pg/mL. Conclusion : Primary glomerular disease was the most common cause of ESRD. CAPD was the most prevalent PD modality. Low and low average peritoneal transport type were common. Growth disturbance were noted in many patients. Some patients had hypertension even with anti- hypertensive drugs. Calcium-phosphorus levels were maintained adequately, but many patients had secondary hyperparathyroidism.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.4 no.1
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• pp.63-70
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• 2001

Purpose: The aim of this study is to evaluate the effective role of living-related liver transplantation (LRLT) on posttransplant linear growth in children. Methods: Thirty six children were enrolled who received LRLT at Asan Medical Center from December, 1994 to February, 1999 and showed more than one-year postoperative survival. Mean height standard deviation score (zH) was analyzed according to medical records including heights during pretransplant and posttransplant follow-up periods. Results: zH of total children showed significant linear growth after LRLT from -1.58 to 0.33 at 24 posttransplant month (p<0.05). zH in children under 6 years of age, to exclude the effect of adolescent linear growth spurt, showed increment in height (p<0.05). Linear growth of children with liver cirrhosis improved and that with fulminant hepatitis was matained same. While stunted children (mean zH=-2.30) achieved good catch-up growth after transplantation, children with normal growth remained same. Children with significant hepatic dysfunction after LRLT such as chronic rejection or posttransplant lymphoproliferative disorder showed retarded posttrasplant linear growth. There was no statistical difference according to the type of immunosuppressants. Conclusion: LRLT resulted in adequate or catch-up linear growth in children with acute, chronic and metabolic liver disease. Successful LRLT suggested to be a promising option not only in long term survival but also in normal linear growth.

• Korean Journal of Remote Sensing
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• v.38 no.5_3
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• pp.939-951
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• 2022

The most important factor in designing autonomous driving systems is to recognize the exact location of the vehicle within the surrounding environment. To date, various sensors and navigation systems have been used for autonomous driving systems; however, all have limitations. Therefore, the need for high-definition (HD) maps that provide high-precision infrastructure information for safe and convenient autonomous driving is increasing. HD maps are drawn using three-dimensional point cloud data acquired through a mobile mapping system (MMS). However, this process requires manual work due to the large numbers of points and drawing layers, increasing the cost and effort associated with HD mapping. The objective of this study was to improve the efficiency of HD mapping by segmenting semantic information in an MMS point cloud into six classes: roads, curbs, sidewalks, medians, lanes, and other elements. Segmentation was performed using various machine learning techniques including random forest (RF), support vector machine (SVM), k-nearest neighbor (KNN), and gradient-boosting machine (GBM), and 11 variables including geometry, color, intensity, and other road design features. MMS point cloud data for a 130-m section of a five-lane road near Minam Station in Busan, were used to evaluate the segmentation models; the average F1 scores of the models were 95.43% for RF, 92.1% for SVM, 91.05% for GBM, and 82.63% for KNN. The RF model showed the best segmentation performance, with F1 scores of 99.3%, 95.5%, 94.5%, 93.5%, and 90.1% for roads, sidewalks, curbs, medians, and lanes, respectively. The variable importance results of the RF model showed high mean decrease accuracy and mean decrease gini for XY dist. and Z dist. variables related to road design, respectively. Thus, variables related to road design contributed significantly to the segmentation of semantic information. The results of this study demonstrate the applicability of segmentation of MMS point cloud data based on machine learning, and will help to reduce the cost and effort associated with HD mapping.

• Clinical and Experimental Pediatrics
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• v.58 no.1
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• pp.28-32
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• 2015

Purpose: Diencephalic syndrome is an uncommon cause of failure to thrive in early childhood that is associated with central nervous system neoplasms in the hypothalamic-optic chiasmatic region. It is characterized by complex signs and symptoms related to hypothalamic dysfunction; such nonspecific clinical features may delay diagnosis of the brain tumor. In this study, we analyzed a series of cases in order to define characteristic features of diencephalic syndrome. Methods: We performed a retrospective study of 8 patients with diencephalic syndrome (age, 5-38 months). All cases had presented to Seoul National University Children's Hospital between 1995 and 2013, with the chief complaint of poor weight gain. Results: Diencephalic syndrome with central nervous system (CNS) neoplasm was identified in 8 patients. The mean age at which symptoms were noted was $18{\pm}10.5$ months, and diagnosis after symptom onset was made at the mean age of $11{\pm}9.7$ months. The mean z score was $-3.15{\pm}1.14$ for weight, $-0.12{\pm}1.05$ for height, $1.01{\pm}1.58$ for head circumference, and $-1.76{\pm}1.97$ for weight-for-height. Clinical features included failure to thrive (n=8), hydrocephalus (n=5), recurrent vomiting (n=5), strabismus (n=2), developmental delay (n=2), hyperactivity (n=1), nystagmus (n=1), and diarrhea (n=1). On follow-up evaluation, 3 patients showed improvement and remained in stable remission, 2 patients were still receiving chemotherapy, and 3 patients were discharged for palliative care. Conclusion: Diencephalic syndrome is a rare cause of failure to thrive, and diagnosis is frequently delayed. Thus, it is important to consider the possibility of a CNS neoplasm as a cause of failure to thrive and to ensure early diagnosis.