• Journal of the Korean Society of Hazard Mitigation
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• v.9 no.1
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• pp.1-7
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• 2009

Most developed models are designed to determine pipe diameter, slope and overall layout in order to minimize the cost for the design rainfall for the optimal sewer layout. However, these models are not capable of considering the superposition effect of runoff hydrographs in the sewer pipes. The flow characteristics in the sewer pipes, such as the sewer layout, pipe diameter and slope, vary according to the design of the sewer system. In particular, when the sewer network is modified, the shapes of the runoff hydrographs in the sewer pipes also change because of the superposition effect. In this study, the sewer layout is designed to control and distribute the flows in the sewer pipes, while considering the runoff superposition effect, in order to reduce the inundation risk at each junction. This is accomplished by separating the inflows that enter into each junction by changing the way in which pipes are connected between junctions. And this model combines SWMM (Storm Water Management Model) to perform the hydraulic analysis for the flows in the sewer network. The current sewer layout was modified to minimize the peak outflow at outlet in Garak basin, Seoul, South Korea. As the results, the peak outflows at the outlet were decreased by approximately 20% for the design rainfall during 30 minutes and the total overflows were also decreased for the excessive rainfalls.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.4
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• pp.135-142
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• 2017

This study employs an analytical mathematical model to estimate the optimal debt ratio of Korean agricultural corporations, more sensitive to the government debt ratio policy compared to other industries, and the estimation of the optimal debt ratio based on objective data. The analytical model utilizes the equation for ROE, with the debt ratio as an independent variable, and related parameters include ROS, TAT, and NFCL. Regarding the NFCL, the optimal debt ratio standard is defined as the debt ratio that maximizes the ROE by analytical procedures such as adding an equation concerning the debt ratio and a linearity relationship to the analytical model, and from these equations, a quadratic equation with the debt ratio as an independent variable describes the ROE. This methodemploys fourteen years of corporate data. Results show that 138% of debt ratio is the optimal debt ratio to increase the ROE of the corporations, which implies that the existing debt ratio of Korean agricultural corporations is higher than optimal. Consequently, it is required for authorities to change future debt ratio policies in view that the purpose of debt ratio management is to maintain safety and increase profitability.Management should emphasize characteristics of the specific industry rather than standardized judgements based on numerical indexes.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.32 no.5
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• pp.556-562
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• 1999

The increasing price of surimi has affected the economical benefits of surimi based food industry, To maintain gel strength in low grade surimi, the optimum formulation adding functional proteins to low grade surimi is required. The objective of this study was to develop the optimum formulation of ingredients in making gels in low grade surimi on the addition of functional non-muscle proteins to low grade surmi by measuring rheological properties of the gels. The rheological qualities of the cooked gels made with A and RA grade surimi on the effects of adding five kinds of starches (potato, wheat, waxy maize, corn and modified corn) and four kinds of functional proteins (bovine plasma protein, dehydrated egg white, soy protein isolate and whey protein concentrate) to the gels were evaluated, The gel styengths at cooking with A and RA grade surimi were decreased with increasing the added starches. The kind of starches added affected little the gel strengths in Rh grade surimi, while potato and corn starches decreased at the least in gel strengths of the gel made with A grade surimi with increasing the concentration of starches. The bovine plasma protein (BPP) significantly increased the gel strength, especially in RA grade surimi, but BPP decreased the whiteness of the gel. Therefore, the optimum content of BPP was up to $2\%$ because of the whiteness of the gels in RA grade surimi, The optimum formulation for the gel with RA grade surimi to satisfy the gel strength of 1000$\times$g and $78\%$ moisture was $40.9\%$ surimi, $9.1\%$ dehydrated egg white (DEW) and $0.9\%$ starch, while that with A grade surimi under the same condition was $37.9\%$ surimi, $6.6\%$ DEW and $3,4\%$ starch.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.634-634
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• 2015

최근 국지성 호우와 잦은 태풍으로 인한 돌발홍수가 빈번하게 발생하여 도심지에서의 호안유실과 범람으로 많은 외수침수의 피해가 발생하고 있다. 또한 기후변화에 따른 강우량의 증가와 집중호우로 인한 홍수 피해는 지속적으로 증가할 것으로 예상됨에 따라 대하천 유역을 중심으로 홍수범람예측 연구가 활발히 진행되고 있지만 대하천을 제외한 지방 중소하천의 연구가 미비한 실정이다. 이에 본 연구에서는 지방 중소하천 중 태풍과 집중호우의 영향이 많은 제주지역의 주요 하천 중의 하나인 한천 유역을 테스트베드로 선정하여 연구를 진행하였다. 한천은 강우 시에만 유출이 발생하는 건천으로, 집중호우 시 암반하상 조건, 복개, 교각 등으로 수위가 국부적으로 급격히 상승하는 경우가 있었다. 그리고 한천 하류부에는 도심이 위치하고 있어 돌발홍수 발생 시 막대한 피해가 발생한다. 이에 따라 홍수 피해를 줄이기 위한 제도화, 정책결정 등의 구조적 해결방안과 홍수 피해의 규모와 원인을 분석하는 비구조적 해결방안에 대한 연구가 시급하다. 따라서 본 연구에서는 홍수범람 등으로 인한 홍수 피해규모를 산정하여 각 정부부처 및 유관기관, 지자체에서 빠른 정책결정을 내릴 수 있는 자료를 제공하는 목적으로 제주도의 특성을 고려한 홍수범람위험도 산정 알고리즘을 개발하고자 한다. 본 연구에서는 제주 한천유역의 단면 자료와 빈도별 홍수량 자료를 이용하여 HEC-RAS 모형으로 수리학적 흐름특성 모의를 실사하였다. 모의된 결과를 바탕으로 ArcGIS 소프트웨어인 ESRI사의 ArcMap을 이용하여 빈도별 홍수위 자료와 제주지역 수치표고모형 자료를 활용한 빈도별 홍수범람지도를 산정하고, 좌안과 우안의 제방고로부터 위험도를 산정하여 홍수범람위험도를 각각 구축하였다. 구축된 결과를 이용하여 분석하고자하는 해당 빈도의 홍수위와 홍수량이 발생할 때의 피해지역을 예측하였으며, 예측된 지역과 제주시의 공시지가 자료를 중첩하여 피해지역에 대한 피해액을 산정하였다. 본 연구의 알고리즘을 적용한 2007년 태풍 '나리' 사상의 경우와 비교한 결과, '나리' 사상의 침수 흔적도와 유사한 홍수범람지도를 획득 할 수 있었으며, 모의된 유역의 하천 복개구간을 중심으로 홍수범람이 발생한다는 점과 우안보다 좌안에서의 홍수범람위험도와 피해액이 더 크게 나타난 점 등의 홍수범람 특성을 파악할 수 있었다. 본 연구에서 제시된 기법을 이용할 경우, 홍수에 의한 취약지에 대한 제방 설계 강화, 하천의 보수 정비 등 정책적 결정에 사용될 수 있을 것이며, 실시간 자료제공, 재해정보시스템 등에 적용하여 홍수범람 피해를 줄일 수 있는 기반기술이 될 것으로 사료된다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.41 no.4
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• pp.377-386
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• 2021

In dense cities, which are covered by many impermeable areas, rainwater flows quickly along the roads and collects in certain areas. The surface runoff that fails to get intercepted by the roadside rain gutters results in a wider flow of water along the sides, which in turn increases the amount of water on the road and causes traffic congestion as well as accidents due to slippage. Based on these issues, this study was carried out in order to propose an intercepted flow calculation formula. To this end, the maximum longitudinal slopes of arterial roads and expressways were reflected to depict a road condition of 2~10 %, while a general traverse slope of 2 % was selected for the traverse slope on the side. As for the road lane condition, two, three, and four lanes were chosen for the area from the centerline to the sidewalk. As for the experimental flow rate, the rainwater runoffs at the actual design frequency of 5, 10, 20, and 30 years for road conditions were converted into experimental flow rates, and as a result, flow rates ranging from 1.36 l/s to 3.96 l/s were divided into ten flow rates for a hydraulic experiment. Also, an equation taking into consideration the inflow velocity and flow width along the roadsides was proposed. The results of the experiment showed an increase in flow width and a decrease in interception rate. Also, the inflow velocity at a traverse slope of 2 % was measured, while increasing the longitudinal slope. Accordingly, an equation for calculating the flow intercepted by rain gutters at a flow width reflecting the longitudinal slope of the road and rainwater runoff, according to the design frequency, was derived by performing a regression analysis using IBM SPSS Statistics 24. It is deemed that the equation derived in this study will be useful in designing rain gutters for roads.

• Journal of Korea Water Resources Association
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• v.51 no.12
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• pp.1207-1216
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• 2018

Discharge or water level predictions at tidally affected river reaches are currently still a great challenge in hydrological practices. This research aims to predict water level of the tide dominated site, Jamsu bridge in the Han River downstream. Physics-based hydrodynamic approaches are sometimes not applicable for water level prediction in such a tidal river due to uncertainty sources like rainfall forecasting data. In this study, TensorFlow deep learning framework was used to build a deep neural network based LSTM model and its applications. The LSTM model was trained based on 3 data sets having 10-min temporal resolution: Paldang dam release, Jamsu bridge water level, predicted tidal level for 6 years (2011~2016) and then predict the water level time series given the six lead times: 1, 3, 6, 9, 12, 24 hours. The optimal hyper-parameters of LSTM model were set up as follows: 6 hidden layers number, 0.01 learning rate, 3000 iterations. In addition, we changed the key parameter of LSTM model, sequence length, ranging from 1 to 6 hours to test its affect to prediction results. The LSTM model with the 1 hr sequence length led to the best performing prediction results for the all cases. In particular, it resulted in very accurate prediction: RMSE (0.065 cm) and NSE (0.99) for the 1 hr lead time prediction case. However, as the lead time became longer, the RMSE increased from 0.08 m (1 hr lead time) to 0.28 m (24 hrs lead time) and the NSE decreased from 0.99 (1 hr lead time) to 0.74 (24 hrs lead time), respectively.

• Journal of Conservation Science
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• v.35 no.3
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• pp.237-244
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• 2019

In this study, we applied terahertz imaging technology to three Korean modern oil paintings ('Boy,' 'Girl,' and 'Hyehwadong Landscape'); investigated the types of inner layer information in the pictures that can be extracted with terahertz imaging technology; and analyzed the conditions for extracting them. The biggest problem in the terahertz imaging analysis we encountered was the image distortion caused by the change of the distance between the target surface and the terahertz detector, depending on the surface curvature of the target paintings. We then developed a 'working distance maintaining device' to solve this problem. As a result, the terahertz imaging technique was used to identify the base material characteristics and any patterns of damage inside, and presented the optimal conditions for identifying each characteristic. In addition, it was useful to employ the terahertz frequency-division image to check the characteristics of the background materials. To confirm coloring techniques such as brush strokes, it is effective to compare the maximum reflection peak image with the cross-section image; and to detect damage information inside the paintings that cannot be observed on the surface, to compare the cross-section image with the frequency-division image. On the other hand, according to the terahertz imaging analysis of the oil paintings, the internal structural damage marks of 'Boy' and 'Girl' were confirmed, and the artist's painting style was confirmed in 'Hyehwadong Landscape.' The above results are expected to be useful for the analysis and diagnosis of Korean modern oil paintings for their preservation.

• Journal of Conservation Science
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• v.35 no.2
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• pp.117-129
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• 2019

In this study, black-glazed porcelain excavated from the Shinan shipwreck is analyzed to distinguish its characteristics. Glazes of Hong-Tang kiln are thin and exhibit little vitrification, whereas the Ci-Zhou-type and Cha-Yang kilns are similar in terms of their cross section. However, Raman mapping images reveal difference in the distribution area of magnetite. In this study, firing experiments are conducted to determine how iron oxides change properties in black glazes. The results show that when hematite is fired to a temperature greater than $1250^{\circ}C$, it becomes magnetite. Therefore, it is estimated that a firing temperature of approximately $1200^{\circ}C$ is suitable for the Hong-Tang kiln. In addition, glazes of the Ci-Zhou-type and Cha-Yang kilns are fired at approximately $1300^{\circ}C$. However, when the characteristics of firing in ancient kilns are considered, porcelain can be fired for a sufficiently long period to extend to glaze surfaces.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.33 no.5
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• pp.203-216
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• 2021

Analyzing various wave interactions with oscillating wave surge converters (OWSC) is essential because they must be operated efficiently under a wide range of wave conditions and designed to extract optimal wave energy. In the conceptual design and development stage of OWSC, numerical analysis can be a good alternative as a design tool. This study performed a numerical analysis on the behavioral characteristics of the inverted triangle flap against the incident waves using open source CFD to examine the essential behavioral attributes of OWSC. Specifically, the behavioral characteristics of the structure were studied by calculating the free water surface displacement and the flap rotation angle near the inverted triangular flap according to the change of the period under the regular wave conditions. By comparing and examining the numerical analysis results with the hydraulic model experiments, the validity of the analysis performed and the applicability in analyzing the wave-structure interactions related to OWSC was verified. The numerical analysis result confirmed that the hydrodynamic behavior characteristic due to the interactions of the wave and the inverted triangle flap was well reproduced.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.54 no.2
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• pp.145-151
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• 2021

When manufacturing Alaska pollack Gadus chalcogrammus surimi for 3D printing, it examined the characteristics of physical properties and sensuality by adding polysaccharides alginic acid [0, 1, 2, 3% (w/w)]. As a result of the color value of surimi by adding alginic acid, it showed that the lightness of heated surimi containing 2% (w/w) alginic acid was the highest and ∆E value was the lowest. In the changes in physical properties, the heated surimi of 3% (w/w) alginic acid content showed the lowest values of hardness, springiness, cohesiveness, gumminess, chewiness and resilience, but the highest adhesiveness. In the case of fried surimi, its hardness, cohesiveness, gumminess, chewiness and resilience were the lowest at the content of 3% (w/w) alginic acid. After 7 days of cold storage, the hardness, gumminess, and chewiness of heated surimi with an alginic acid content of 2% (w/w) were significantly higher, and fried surimi was also the same. In the results of the sensory evaluation, there were significant differences according to the alginic acid content in hardness and fishy smell, and as the alginic acid content increased, it felt more fishy smell, resulting in poor preference.