• Journal of Life Science
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• v.18 no.2
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• pp.193-199
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• 2008

The purpose of this study was to demonstrate the effectiveness of walking and band exercise for 12 weeks on c-reactive protein and cardiovascular disease risk factor in overweight and obese children. Body composition, blood lipids, insulin sensitivity, c-reactive protein (CRP) were assessed before, after 4 weeks and after 12 weeks of combined exercise. Sixteen participants (BMI${\geq}$21.3) were randomly allocated to exercise group (n=8) and control group (n=8). The exercise group participated in 50 minutes of walking exercise and band exercises as resistance training two days a week for 12 weeks. There were significant different on weight (p<0.001), BMI (p<0.001), fat mass (p<0.001), fat percentage (p<0.001), LBM percentage (p<0.001), TG (p<0.05), HDL-C (p<0.01), insulin (p<0.05), HOMA-IR (p<0.05) in exercise group after intervention. And the change of weight (p<0.001), BMI (p<0.001), fat mass (p<0.001), fat percentage (p<0.001), LBM mass (p<0.05), LBM percentage (p<0.001), insulin (p<0.05), HOMA-IR (p<0.05) were significant difference between groups after intervention. These findings suggest that 12 weeks of walking and band exercise can be useful intervention in the improvement of cardiovascular disease risk factor in overweight and obese children. But c-reactive protein was no change.

• The korean journal of orthodontics
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• v.36 no.2 s.115
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• pp.153-160
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• 2006

For orthodontic treatment of growing patients and those which involve long treatment times, knowledge of growth and development are essential. Data from the general growth observation chart being used at present does not reflect the growth transition of modern times. This is because these data are out of date. The present study, therefore, aims to introduce the process of producing a growth curve and growth rate curve based on data which represents a more accurate description of the present situation. The data used were from the 5th nationwide surrey, SIZE KOREA 2004 study, carried out by the Technology and Standards Policy Division, Department of Technology and Standards Planning, Ministry of Commerce. Processing and rearranging produced data with variations divided into the three quartiles and the 1st, 5th, 95th and 99th percentiles were included to produce a growth observation chart according to sex, height and weight differences. In the same way, a growth rate curve based on the geometric mean value was produced. The resulting growth charts can be used as an index for growth and development, and used for better communication between the orthodontist, patients and parents.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.4
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• pp.617-629
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• 2020

In order to overcome the limitations of the rule-based intrusion detection system due to changes in Internet computing environments, the emergence of new services, and creativity of attackers, network anomaly detection (NAD) using machine learning and deep learning technologies has received much attention. Most of these existing machine learning and deep learning technologies for NAD use supervised learning methods to learn a set of training data set labeled 'normal' and 'attack'. This paper presents the feasibility of the unsupervised learning AutoEncoder(AE) to NAD from data sets collecting of secured network traffic without labeled responses. To verify the performance of the proposed AE mode, we present the experimental results in terms of accuracy, precision, recall, f1-score, and ROC AUC value on the NSL-KDD training and test data sets. In particular, we model a reference AE through the deep analysis of diverse AEs varying hyper-parameters such as the number of layers as well as considering the regularization and denoising effects. The reference model shows the f1-scores 90.4% and 89% of binary classification on the KDDTest+ and KDDTest-21 test data sets based on the threshold of the 82-th percentile of the AE reconstruction error of the training data set.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.11a
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• pp.205-208
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• 2003

대학이 신입생을 선발하는 기준은 해당전공을 공부하는데 적합한 지원자를 선발하는 것이며, 해당모집단위에 많이 지원하게 하여 신입생 충원을 용이하게 하는 것 등이다. 대학은 입학전형을 거쳐서 신입생을 선발하게 되며, 선발기준으로 전형요소를 활용하게 된다. 전형요소 활용방법은 신입생 선발에 영향을 주기 때문에 전략적으로 중요하다. 2005학년도 신입생 선발에는 고등학교 7차 교육과정을 이수한 지원자들이 지원하게 되므로 전형요소에 있어서 변화가 있다. 대학입학수학능력 시험의 체제는 수험생들이 영역이나 과목을 선택하여 응시하는 방향으로 변화한다. 즉, 수리 영역을 가형 및 나형으로 응시하고, 하나의 탐구영역을 응시하되 사회탐구영역 및 과학탐구영역은 4과목 이내에서 선택하여 응시한다. 또한 수학능력시험의 성적표는 각 영역별 및 과목별 표준점수, 백분위점수 및 등급을 표시하여 통지한다. 본 연구는 변화된 수학능력시험의 체제와 고등학교 교육과정을 어떠한 방법으로 반영하여 학생을 선발하는 것이 바람직한가에 대한 전략을 도출하는 틀을 제시하고, 각 전형요소 활용의 대안과 문제점을 도출하고자 한다. 2005 수능시험 결과는 표준점수로 통지하기 때문에 만점 개념을 적용하기 어렵고, 표준점수를 전형요소로 활용할 때 전형총점 개념을 도입하기 어렵다. 또한 복수영역 및 과목의 선택에서 유리함과 불리함이 나타나게 된다. 과거의 수능시험결과를 분석하여 전형총점개념 도입의 방법과 불리함을 보정하여 주는 방법을 제시하고, 신입생을 선발하는 목적에 적합한 전형요소 결정전략을 도출하고자 한다.2; Learning Decisions, 2001) 연구모형을 설정하고 이를 근거로 실증연구를 수행 중에 있다.7.2 $e^{0.101}$x/, y = 70.01 $e^{0.030}$x/, 반감기는 12.0, 6.86, 23.0 일이고 폐장, 간장, 신장의 회복기간(x)별 크롬농도(y)의 소실속도 상관계수 (노출농도 0.50 mg/㎥군의 경우)는 y = 1808 $e^{0.004}$93x/, y = 12.02 $e^{0.029}$7x/, y = 67.61 $e^{0.029}$2x/ 반감기는 140.6, 23.3, 23.7 일로 평가되었다. 4. 고찰 : 실험동물의 전혈, 혈청, 뇨에서의 크롬농도와 시험물질 노출농도는 밀접한 상관을 가졌으나 농도에 정비례하지는 않았다. 뇨 중 흡수된 크롬의 경우 회복기간 초기 (12시간 내)에 대부분 배설이 일어나는 것으로 나타났다. 폐장이 간장, 신장 등 다른 장기에 비해 높은 축적량을 보였으며 축적된 크롬농도가 높을수록 크롬의 소실속도는 현저히 저하하는 경향을 보였다. 노출농도가 높을수록 각 장기조직 내 크롬의 소실속도 (clearance)는 크게 감소경향이 있었으며 이는 체내 과부하시 자정작용이 감소하는 것으로 판단되었다. 본 연구 결과 SD rat를 이용 반복흡입노출의 경우 생체의 무유해영향농도 (NOAEL)는 0.2mg/㎥이하이며 발암물질을 감안하여 안전계수를 100으로 할 경우 사람에 대한 NOAEL은 0.002mg/㎥이하로 판단되

• The Journal of Engineering Geology
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• v.27 no.4
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• pp.367-376
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• 2017

Recently, tunneling under the seabed is becoming increasingly common in many countries. In Korea, there are proposals to tunnel from the mainland to Jeju Island. Safe construction requires geologic structures such as faults to be characterized during the design and construction phase; however, unlike on land, such structures are difficult to survey seabed. This study aims to develop an algorithm that uses geostatistics to automatically derive large-scale geological structures on the seabed. The most important considerations in this method are the optimal size of the moving window, the optimal type of spatial statistics, and determination of the optimal percentile standard. Finally, the optimal analysis algorithm was developed using the R program, which comprehensibly presents variations in spatial statistics. The program allows the type and percentile standard of spatial statistics to be specified by the user, thus enabling an analysis of the geological structure according to variations in spatial statistics. The geotechnical defense-training algorithm shows that a large, linear geological lineament is best visualized using a $3{\times}3$ moving window and a 10% upper standard based on the moving variance value and fractile. In particular, setting the fractile criterion to the upper 0.5% almost entirely eliminates the error values from the contour image.

• Geophysics and Geophysical Exploration
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• v.16 no.4
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• pp.211-216
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• 2013

In general, smoothing filters regularize functions by reducing differences between adjacent values. The smoothing filters, therefore, can regularize inverse solutions and produce more accurate subsurface structure when we apply it to full waveform inversion. If we apply a smoothing filter with a constant coefficient to subsurface image or velocity model, it will make layer interfaces and fault structures vague because it does not consider any information of geologic structures and variations of velocity. In this study, we develop a selective smoothing regularization technique, which adapts smoothing coefficients according to inversion iteration, to solve the weakness of smoothing regularization with a constant coefficient. First, we determine appropriate frequencies and analyze the corresponding wavenumber coverage. Then, we define effective maximum wavenumber as 99 percentile of wavenumber spectrum in order to choose smoothing coefficients which can effectively limit the wavenumber coverage. By adapting the chosen smoothing coefficients according to the iteration, we can implement multi-scale full waveform inversion while inverting multi-frequency components simultaneously. Through the successful inversion example on a salt model with high-contrast velocity structures, we can note that our method effectively regularizes the inverse solution. We also verify that our scheme is applicable to field data through the numerical example to the synthetic data containing random noise.

• Clinical and Experimental Pediatrics
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• v.50 no.5
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• pp.484-488
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• 2007

Purpose : The purpose of this study was to determine the incidence and potential predictors of weight gain in older children and teens treated with valproate (VPA) for epilepsy. Methods : Sixty-five subjects aged 8 to 17 years of age, who began VPA treatment between January 1, 2001, and December 31, 2004, and who had documented weight and height measurements at medication initiation and at least one follow-up visit were retrospectively identified. Exclusion criteria were follow-up <6 months, discontinuation of VPA within 6 months, and concurrent therapy with medication known to affect weight (such as topiramate, carbamazepin). Body mass index (BMI) was calculated at initiation and either discontinuation of VPA or last follow-up and stratified into four categories: group 1, underweight <5%; group 2, appropriate 5-85%; group 3, potentially overweight 85-95%; group 4, overweight >95%. Results : Twenty-eight subjects (77.8%) remained within their same category and eight (22.2%) moved up at least one category. Weight gain (increase in BMI difference) was observed in 72.2% of the 36 subjects treated with VPA. Three factors, neurocognitive status (P=0.017), seizure type (P=0.001) and duration of VPA treatment (P=0.035) were identified to be significant predictors of BMI difference. Conclusion : VPA induces weight gain in children and teens with epilepsy. These factors which are normal neurocognitive status, primary generalized type and duration of VPA treatment over the 12 months were predictors for an increase of weight gain. Therefore potential weight gain should be discussed with patients before the initiation of therapy and BMI should be monitored closely.

• Journal of the Korean Wood Science and Technology
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• v.46 no.5
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• pp.486-496
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• 2018

This study was conducted to confirm an effect of span length on bending properties of larch dimensional lumber in the four point bending test. The size of specimen in this study was 38 (width) ${\times}$ 89 (depth) ${\times}$ 3,600 (length) $mm^3$, and average air-dry density and moisture content of the specimens was $543.5kg/m^3$ and 10.5%, respectively. Visually graded No. 1 dimensional lumbers of 248 were divided by two groups to compare modulus of rupture (MOR) and modulus of elasticity (MOE). One group was tested in the four point bending test with span length of 1,650 mm, and other was tested with span length of 3,000 mm. While MOE was not different according to span length in 5% significance level, MOR was different in accordance with span lengths and was in inverse proportion to change of span length. Fifth percentiles of MOR in span length of 1,650 and 3,000 mm were 28.65 and 25.70 MPa, respectively. It was confirmed that the difference between MORs in each case increased as normalized rank increased. This is because of size effect in Weibull weakest link failure theory. Therefore, KS F 2150, in which there is only regulation about span to depth ratio of 15 or more, is needed to be revised to contain a method considering size effect for MOR. From the method, various results of bending test with different size of lumber could be used to determine design value of lumber.

• Journal of Gifted/Talented Education
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• v.24 no.6
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• pp.1039-1051
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• 2014

This study aims to measure intelligence (cognitive characteristics), self-esteem, mathematical attitudes, and scientific attitudes (affective characteristics) of gifted students from low-income families, and to identify the relationship among these variables. 147 students in the lower grades of elementary schools who were enrolled to university-based gifted education centers were participants of the study. The results showed that the percentile scores of each variable were 85% for intelligence, 75.6% for self-esteem, 73.3% for mathematical attitudes, and 71.3% for mathematical attitudes. There was no statistically significant relationship between intelligence and the affective characteristics (i.e., self-esteem, mathematical attitudes, and scientific attitudes), while statistically significant relationships were shown between self-esteem and mathematical attitudes (r=.448, p=.000), between self-esteem and scientific attitudes (r=.522, p=.000), and between mathematical attitudes and scientific attitudes (r=.448, p=.000). The results suggest that although the gifted students from low-income families show lower levels compared to other gifted student groups, their potential level of giftedness is considerably high, which calls for appropriate educational support systems designed for this population.

• Journal of Nutrition and Health
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• v.41 no.8
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• pp.767-775
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• 2008

Uncoupling protein-1 (UCP-1) plays a major role in thermogenesis at brown adipose tissues and has been implicated in the pathogenesis of obesity and metabolic disorders. The purpose of this study was to estimate the effects of A-3826G polymorphism in 117 Korean prepubertal children aged 8-11 years olds. Anthropometry by bioelectrical impedance analysis method, plasma lipid profiles by auto-biochemical analyzer and UCP-1 genotyping by PCR-RFLP were done. The frequencies of UCP-1 genotypes were AA; 17.7%, AG; 57.8%, GG; 26.6%. The frequencies of each G allele (55.5%) was similar to Japanese's (49%) and higher than Caucacian's (25%). No correlation UCP-1 polymorphism and BMI (kg/$m^2$) or the degree of obesity described by the relative percentiles of the standard weight according to height in prepubertal children. However, plasma total- and LDL-cholesterol were significantly increased in G allele when sex, age and weight were adjusted. Our results suggested that G allele of UCP-1 gene was stronger risk factors in hyperLDLcholesterolemia than A allele. This impact might be progressed as the precaution against the revalence of obesity based-metabolic disease.