• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.32 no.4_1
• /
• pp.343-351
• /
• 2014

The correlation between regional Walkability Index and their physical socio-economic characteristics has evaluated by the spatial statistical analysis to understand the urban pedestrian environments, where has been emerging the significance, recently. Following to the study, the Walkability Indexes were calculated quantitatively from two administrative districts of Busan and measured Global Local spatial autocorrelation indices. Additionally, the Geographically Weighted Regression model was applied to define the correlation between Walkability Indexes and urban environmental variables. The spatial autocorrelation values and clusters on the Walkability Indexes were derived in statistically significant level. Furthermore, the Geographically Weighted Regression model has been derived more improved inference than the OLS regression model, so as the influence of local level pedestrian environment was identified. The results of this study suggest that the spatial statistical approach can be effective on quantitative assessing the pedestrian environment and navigating their associated factors.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2018.05a
• /
• pp.135-135
• /
• 2018

한강의 잠수교는 평상시에는 사람과 차의 통행이 가능하나 예측수위가 5.5m일 경우, 보행자통제, 6.2m일 경우, 차량통제를 실시한다. 잠수교는 국토교통부의 홍수예보 지점은 아니지만 그 특수성으로 인해 정확한 홍수위 예측을 통해 선행시간을 확보할 필요가 있다. 일반적으로 하천 홍수위 예측을 위해서는 강우-유출 모형과 하도추적을 위한 수리모형을 결합한 모델링이 요구되나 잠수교는 하류부 조위로 인한 배수 및 상류부 팔당댐 방류량의 영향을 받아 물리적 수리 수문모형의 구축이 상당히 제약적이다. 이에 본 연구에서는 딥러닝 오픈 라이브러리인 Tensorflow 기반의 LSTM 심층신경망(Deep Neural Network) 모형을 구축하여 잠수교의 수위예측을 수행한다. LSTM 모형의 학습과 검증을 위해 2011년부터 2017년까지의 10분단위의 잠수교 수위자료, 팔당댐의 방류량과 월곶관측소의 조위자료를 수집한 후, 2011년부터 2016년까지의 자료는 신경망 학습, 2017년 자료를 이용하여 학습된 모형을 검증하였다. 민감도 분석을 통해 LSTM 모형의 최적 매개변수를 추정하고, 이를 기반으로 선행시간(lead time) 1시간, 3시간, 6시간, 9시간, 12시간, 24시간에 대한 잠수교 수위를 예측하였다. LSTM을 이용한 1~6시간 선행시간에 대한 수위예측의 경우, 모형평가 지수 NSE(Nash-Sutcliffe Efficiency)가 1시간(0.99), 3시간(0.97), 6시간(0.93)과 같이 정확도가 매우 우수한 것으로 분석되었으며, 9시간, 12시간, 24시간의 경우, 각각 0.85, 0.82, 0.74로 선행시간이 길어질수록 심층신경망의 예측능력이 저하되는 것으로 나타났다. 하천수위 또는 유량과 같은 수문시계열 분석이 목적일 경우, 종속변수에 영향을 미칠 수 있는 가용한 모든 독립변수를 데이터화하여 선행 정보를 장기적으로 기억하고, 이를 예측에 반영하는 LSTM 심층신경망 모형은 수리 수문모형 구축이 제약적인 경우, 홍수예보를 위한 활용이 가능할 것으로 판단된다.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2019.05a
• /
• pp.120-120
• /
• 2019

국내에서는 예측 불가능한 재난으로 인한 침수 피해 발생사례가 증가하였다. 따라서 침수 피해 예측이 더욱 중요해지고 있는 실정이다. 기존에는 주로 수치모형을 통한 침수예측을 하였고, 정보통신기술도 발달해왔지만 아직까지 수치모의에 많은 시간이 소요되기 때문에 침수 피해의 실시간 예측이 힘든 상황이다. 이에 국립재난안전연구원(2017)에서 침수예측을 위한 보간 모델인 SIND(Scientific Interpolation for Natural Disaster) Model을 개발하였다. 이는 보간을 이용한 모델이기 때문에 그동안 사용해왔던 물리 모형보다 간단하다. 그러나 정확한 값이 아닌 보간을 이용한 모델이기 때문에 정확도를 검토할 필요가 있다. 따라서 본 연구에서는 Mapping분야에서 사용하는 CRITIC(CRiteria Importance Through Intercriteria Correlation) 기법을 활용하여 지도의 정확도 검토를 수행하였다. CRITIC은 형상기준, 위치기준, 면적기준을 이용하여 형상유사도를 산정하는 방법이며, 이 기법을 활용하여 국가가 제공한 침수예상도(국립해양조사원, 2010)와 SIND모델 결과 지도를 비교하였다. 형상기준은 지도의 형상을 나타내는 형상지수를 비교하고, 위치기준은 지도의 무게중심의 일치정도, 면적기준은 형상 면적을 비교하는 것이다. 지도는 총 300여개의 매칭 객체 쌍을 가지고 수행하였고, 위험도 등급은 Grade 1부터 Grade 5 까지 분류하여 나타내었다. 연구 대상지역은 ${{\bigcirc}{\bigcirc}}$시이다. 그 결과, 형상유사도는 약 200여개의 매체쌍이 0.80 이상의 값을 나타냈고, 나머지 매체 쌍은 0.75이하의 값을 나타내었다. 위험도 등급이 낮을수록 형상유사도 값은 크게 나타나고, 위험도 등급이 높을수록 형상유사도 값이 작게 나타나는 경향을 보였다. 이는 위험도 등급이 높은 곳의 경우, 해안선의 복잡한 지형형태 때문으로 판단된다. Mapping 분야에서 형상유사도 적합성 기준이 0.75이므로 결과는 60%이상이 정확하다고 판단할 수 있다. 따라서 본 연구에서 검토를 수행했던 간단한 방정식을 이용한 SIND 모델은 정확하다고 판단할 수 있다. 다만, 복잡한 지형과 현재 고려되고 있는 영향인자 외에 다양한 구조물 등을 고려한다면 형상유사도가 향상될 것이라 기대된다.

• Journal of the Korean Magnetics Society
• /
• v.19 no.1
• /
• pp.5-11
• /
• 2009

The Explosive Magnetic Generator of Frequency (EMGF) has been studied as a method to generate a strong microwave effectively through converting the explosion powder energy into the electromagnetic energy. However, the generated high frequency electromagnetic wave has not been explained clearly yet, for it is known to be difficult to analyze the high frequency electromagnetic wave oscillation using a simple time-varying equivalent circuit model. In this paper, we analyze the problems of the widely used inductance model with an exponential decreasing pattern and investigate the tendency of a more accurate inductance variation model using the finite element method of EMGF inductance by considering the magnetic compression effect. And we have shown via an EMGF output simulation that the new inductance variation model proposed here has an negative effect on EMGF output.

• Food Engineering Progress
• /
• v.14 no.3
• /
• pp.222-228
• /
• 2010

Effect of baking on the physicochemical and sensory properties was investigated using a model system of sponge cakes incorporated with Ecklonia cava powder as a value-added food ingredient. Ecklonia cava powder was incorporated into cake batter at 5 levels (0%, 2%, 4%, 6%, and 8%, w/w) by replacing equivalent amount of wheat flour. After appropriate mixing, sponge cakes were baked at ${185^{\circ}C}$ for 20 min in an oven. The baked cakes were cooled to room temperature for 1 hr prior to all measurements. The specific gravity of batter increased gradually with increase in Ecklonia cava powder content. The specific volume of sponge cakes tended to decrease while baking loss increased. Volume of the cakes decreased with higher amount of Ecklonia cava powder in the formulation as indicated by the decrease in the volume index. Sponge cakes became darker and firmer with increase in Ecklonia cava powder content (p<0.05). Color, seaweeds smell, and taste were distinctively classified by the sensory analyses (p<0.05). Finally, correlation analysis indicated that level of Ecklonia cava powder incorporation was well-correlated with all the physicochemical and sensory properties studied except for $a^{*}$-value and sensory firmness (p<0.05, p<0.01 or p<0.001).

• Journal of The Korean Society of Integrative Medicine
• /
• v.7 no.1
• /
• pp.1-8
• /
• 2019

Purpose : The purpose of this study was to examine the correlation between static and dynamic balance according to the virtual reality-based squat and conventional squat exercise. Methods : Twenty four participants were randomly assigned to the virtual reality-based squat (VRS) group (n=12) or conventional squat (CS) group (n=12). The static balance (C90 area, C90 angle, trace length, sway average velocity) and dynamic balance (forward, rearward, leftward, rightward) were measured using a force plate by BT4. The VRS group used the virtual reality system during 4 weeks, while the CS group underwent classical squat training. Independent t-test was used to test the homogeneity of the general characteristics of the subjects. The collected data was analyzed using the paired t-test for static and dynamic balance comparisons before and after exercise in both groups and Pearson's test for the correlation between static and dynamic balance according to the measured time. The significance level was set to 0.05. Results : There was no significant correlation between group and static and dynamic balance related variables (p>.05). There was a significant correlation between measurement time and static and dynamic balance related variables (p<.05). According to the measurement time, the static balance parameter C90 area in the VRS group after exercise was significantly decreased (p<.05). The values of forward, leftward and rightward in the VRS group were significantly increased after exercise (p<.05). Conclusion : It is suggested that 20 normal healthy adult men and women who have normal balance ability can improve their ability to control their posture by improving the balance ability when applying virtual reality-based squat exercise.

• Journal of the Korean Geotechnical Society
• /
• v.34 no.12
• /
• pp.83-92
• /
• 2018

The lapse of time may cause in the slope structure various deterioration phenomenon progresses in the ground of slope, and collapse due to deterioration of strength, resulting in a decrease in the service life. The approach to slope stability due to the ground deterioration is a different concept from the existing limit equilibrium analysis, which is limited to the physical characteristics and geometrical structure of ground. In this study, we conducted a comparative analysis of various literature studies related to the slope failure characteristics and behaviors to presented the optimal formulas for shear strength reduction, such as the exponential function, the logarithmic function and the inverse hyperbolic function. And then a case study was performed on cut slope of Gyeongbu High Speed Rail construction site along the Yangsan fault zone, where the slope failure of shale layer vulnerable to deterioration occurred. As a result, it was confirmed that landslide occurred due to reduction of shear strength by deterioration, as safety factor is approx. 1.0 at the time when the slope failure occurred. Based on the comprehensive case study, as a quantitative approach to the evaluation of slope stability due to deterioration of ground, finally we propose a method for evaluating slope stability with optimal strength reduction curves.

• Journal of the Korean Applied Science and Technology
• /
• v.38 no.3
• /
• pp.662-668
• /
• 2021

The aim of the present study was to design ascorbyl glucoside (AG) loaded solid lipid nanoparticles (SLNs) to improve skin penetration of AG. AG loaded SLNs were prepared using double emulsion method. The prepared AG loaded SLNs investigated particle characteristics (particle size, polydispersity index, zeta potential, loading capacity). Skin penetration study was carried out using SkinEthic RHE as one of the reconstructed human epidermis models. The mean particle size and zeta potential of SLNs were 172.65 - 347.19 nm and -22.90 - -41.20 mV, respectively. The loading capacity of AG loaded SLNs demonstrated that loading efficiency and loading amount were ranged from 44.18% to 57.77% and 12.83% to 16.15%, respectively. The results of penetration showed that all SLNs enhanced the skin penetration of AG and the amount of AG from SLNs were approximately 3.7 - 7.4 times higher than that from AG solution. Therefore, AG loaded SLN might be a promising topical drug delivery system.

• Journal of The Korean Society of Integrative Medicine
• /
• v.8 no.4
• /
• pp.117-123
• /
• 2020

Purpose : VDT (visual display terminal syndrome) can affect individuals who monitor or who work or play using video screens, including those of smartphones. In general, headache symptoms from overuse of these screens can appear due to eye fatigue, muscle pain in the joints of wrists or fingers, and muscle pain in the neck or shoulders. Many studies in the literature have supported standards that seek to prevent these symptoms. The incidence of musculoskeletal diseases caused by the use of smartphones is expected to increase rapidly, particularly among children and young adults, and these diseases are expected to develop into a societal problem. Therefore, in this study we investigate whether tension headaches that develop from smartphone usage can affect forward neck posture, neck pain, and quality of life. Methods : A total of 93 students from University participated in this study. We divided participants into two groups, those with tension headaches (n = 25) and those without (n = 68) and took forward neck measurements. Headaches were classified according to criteria from the International Headache Society and involved bilateral headache position, quality of pressing or tightening pain, mild or moderate pain intensity, and none due to daily physical activity. We surveyed participants using the smartphone addiction diagnosis questionnaire, the Neck Disability Index (NDI), the Headache Impact Test (HIT-6), and the Quality of Life Questionnaire. Results : Although we found no significant differences in tension headaches due to smartphone addiction diagnosis (p = 0.25), SF-36 life quality assessment (p = 0.06), and cranio-vertebral angle (p = 0.07), we found significant differences from the HIT-6 and the NDI (p <.05). Conclusion : Tension headaches are not correlated with smartphone addiction, quality of life, and forward neck angle but do have a correlation with the degree of cervical dysfunction and the effects of the headaches.

• Journal of Korea Water Resources Association
• /
• v.55 no.7
• /
• pp.557-563
• /
• 2022

The rating curve is required to convert measured stage into a discharge and is developed using the measurement. In the development of the rating curve, the segmentation position is determined by considering the hydraulic characteristic and channel shape, and subjective judgment of the Hydrographer may intervene in this process. The segmentation position is so important that it determines the overall form of the rating curve, and the incorrect segmentation can cause errors in the rating curve, especially in extrapolation. In order to develop an accurate rating curve with a small number of measurements, the sections must be divided by considering hydraulic characteristic such as the cross-sectional shape. In this study, hydraulic examination methods such as stage-mean velocity, stage-area, stage-${\sqrt{Q}}$ investigated and supplemented to eliminate subjectivity in segmental positioning. Appropriateness for the segmentation position was verify in consideration of the physical meaning of the rating curve index (c).