• Structural Engineering and Mechanics
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• 제81권5호
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• pp.565-574
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• 2022

The infrastructures such as offshore, bridges, power plant, oil and gas piping and aircraft operate in a harsh environment during their service life. Structural integrity of engineering components used in these industries is paramount for the reliability and economics of operation. Two regression models based on the concept of Gaussian process regression (GPR) and Minimax probability machine regression (MPMR) were developed to predict stress intensity factor range (𝚫K). Both GPR and MPMR are in the frame work of probability distribution. Models were developed by using the fatigue crack growth data in MATLAB by appropriately modifying the tools. Fatigue crack growth experiments were carried out on Eccentrically-loaded Single Edge notch Tension (ESE(T)) specimens made of API 5L X65 Grade steel in inert and corrosive environments (2.0% and 3.5% NaCl). The experiments were carried out under constant amplitude cyclic loading with a stress ratio of 0.1 and 5.0 Hz frequency (inert environment), 0.5 Hz frequency (corrosive environment). Crack growth rate (da/dN) and stress intensity factor range (𝚫K) values were evaluated at incremental values of loading cycle and crack length. About 70 to 75% of the data has been used for training and the remaining for validation of the models. It is observed that the predicted SIF range is in good agreement with the corresponding experimental observations. Further, the performance of the models was assessed with several statistical parameters, namely, Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Coefficient of Efficiency (E), Root Mean Square Error to Observation's Standard Deviation Ratio (RSR), Normalized Mean Bias Error (NMBE), Performance Index (ρ) and Variance Account Factor (VAF).

• Computers and Concrete
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• 제32권2호
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• pp.119-138
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• 2023

Concrete carbonation is a prevalent phenomenon that leads to steel reinforcement corrosion in reinforced concrete (RC) structures, thereby decreasing their service life as well as durability. The process of carbonation results in a lower pH level of concrete, resulting in an acidic environment with a pH value below 12. This acidic environment initiates and accelerates the corrosion of steel reinforcement in concrete, rendering it more susceptible to damage and ultimately weakening the overall structural integrity of the RC system. Lower pH values might cause damage to the protective coating of steel, also known as the passive film, thus speeding up the process of corrosion. It is essential to estimate the carbonation factor to reduce the deterioration in concrete structures. A lot of work has gone into developing a carbonation model that is precise and efficient that takes both internal and external factors into account. This study presents an ML-based adaptive-neuro fuzzy inference system (ANFIS) approach to predict the carbonation depth of fly ash (FA)-based concrete structures. Cement content, FA, water-cement ratio, relative humidity, duration, and CO2 level have been used as input parameters to develop the ANFIS model. Six performance indices have been used for finding the accuracy of the developed model and two analytical models. The outcome of the ANFIS model has also been compared with the other models used in this study. The prediction results show that the ANFIS model outperforms analytical models with R-value, MAE, RMSE, and Nash-Sutcliffe efficiency index values of 0.9951, 0.7255 mm, 1.2346 mm, and 0.9957, respectively. Surface plots and sensitivity analysis have also been performed to identify the repercussion of individual features on the carbonation depth of FA-based concrete structures. The developed ANFIS-based model is simple, easy to use, and cost-effective with good accuracy as compared to existing models.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2021년도 추계학술대회
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• pp.201-202
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• 2021

국제해운에서의 선박으로부터 배출되는 온실가스에 대한 규제는 가일층 강화되고 있으며 국제해사기구에서 수립한 온실가스 저감목표는 기술적 및 운항적 측면에서 해운선사에는 커다란 도전으로 작용하고 있다. 국제해사기구는 탄소집약도 기준 2008년 대비하여 2030년 까지 30% 및 2050년 까지 70%를 감축하고 총배출량 기준 50%까지 감축하는 것을 목표로 삼고 있다. 이의 실현을 위해 IMO는 단기 및 중장기 조치를 일부 채택하여 2023년부터 현존선에 대한 에너지효율 지표인 EEXI 적용과 일부 선형에 대한 EEDI 3단계 조기 적용 등의 기술적 조치 채택하였으며 선박의 탄소집약지수인 CII를 채택하여 운영적 측면도 온실가스 저감을 위한 조치를

• 무역학회지
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• 제46권2호
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• pp.19-38
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• 2021

This study aims to analyze the foreign asset leverage effect on Korean oil & gas companies' foreign profits and to maintain the appropriate foreign asset volume for reducing exchange risk. For a long time, large Korean companies, including oil companies, overheld foreign currency liabilities. For this reason, most large companies have been burdened to hedge exchange risk and this excess limit holding deteriorated total profit and reduced foreign currency asset management efficiency. Our paper proceeds in presenting a three-stage analysis considering diversified exchange risk factors through estimation on transformation of foreign transactions a/c including annual trends of foreign asset and industry specifics. We also supplement incomplete the estimation method through a practical hedging case investigation. Our research parts are differentiated on the analyzing four periods considering period-specifics The FER value of the oil firms ranged from -0.3 to +2.3 over the entire period. The results of the FER Value are volatile and irregular; those results do not represent the industry standard comparative index. The Korean oil firms are over the credit limit without accurate prediction and finance high interest rate funds from foreign-owned banks on the basis on a biased relationship. Since the IMF crisis, liabilities of global firms have decreased. Above all, oil firms need to finance a minimum limit without opportunity losses on the demand forecast and prepare for uncertainty in the market. To reduce exchange risk from the over-the-limit position, we must consider factors that affect the corporate exchange risk on the entire business process, including the contract phase.

• 농촌계획
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• 제23권1호
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• pp.85-96
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• 2017

Existing agricultural reservoirs are considered as alternative source for the water welfare of rural area. In this study, domestic water supply potential of 476 reservoirs, which has storage capacity more than one million cubic meter, out of 3,377 agricultural reservoirs managed by Korean Rural Community Corporation (KRC) were investigated. Among them water quality of 136 reservoirs met the criteria of domestic water source which show less than COD 3 ppm. Available amount for domestic water of reservoirs, which meet the water quality, for ten year return period of drought was analyzed with reservoir water balance model. The results showed that 116 reservoirs has potential for supplementary domestic water supply while satisfying irrigation water supply. Finally, economic analysis using Net Present Value (NPV), Benefit-Cost (B/C) ratio, Internal Rate of Return (IRR), and Profitability Index (PI) methods was also conducted. The analysis showed that 19 reservoirs satisfied economic feasibility when water is provided from reservoir outlet but only 9 reservoirs meet the economic feasibility if water delivered from a reservoir to treatment plant by newly built conveyance canal. In order to supply the domestic water through the agricultural reservoirs managed by KRC, it is necessary to flexibly interpret and operate the 'Rearrangement of Agricultural and Fishing village Act'. Also, it is reasonable to participate in the water service business when there is a supply request from other Ministries. In addition, the KRC requires further effort to change the crop system for saving water and improve efficiency of irrigation systems.

• 한국ITS학회 논문지
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• 제8권3호
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• pp.11-19
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• 2009

현재 여러 가지 교통문제를 해결하기 위한 대안으로 첨단교통체계(ITS)가 활발히 도입되고 있으며, ITS의 한 분야인 교통정보제공서비스가 다양한 매체를 통해 이용자들에게 제공되고 있다. 하지만 도로이용자들에게 제공되는 교통정보가 얼마나 효용이 있는지에 대한 평가는 단순설문조사에 그치고 있고, 교통정보의 효용성에 어떠한 요인들이 영향을 미치는지에 대한 체계적인 평가가 이루어지지 않아 교통정보로 인해 발생되는 이용자 편익을 산정할 수 없는 실정이다. 이에 본 연구에서는 교통정보의 이용자 만족도를 평가하기 위한 지표를 개발하고, 이용자 만족도 모형을 개발하고자 하였다. 대표적인 정보제공 매체인 가변전광표지(VMS)를 분석대상으로 하여 설문조사를 실시하여 이용자만족도 모형을 구축한 결과 욕구충족성, 신뢰성, 이해성, 효율성이 영향을 미치는 것으로 분석되었다. 이 중 이해성이 가장 높게 나타나 VMS의 경우 정보에 제공되는 문자, 그림, 표현등이 얼마나 이용자들에게 쉽게 이해시키는지가 그정보의 만족도에 가장 큰 영향을 미치는 것을 알 수 있었다. 그 다음으로 이용자의 신뢰성, 효율성, 욕구 충족성 순으로 만족에 미치는 영향 정도가 나타났다.

• Journal of Biosystems Engineering
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• 제43권2호
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• pp.148-159
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• 2018

Purpose: Unmanned air vehicle (UAV) remote sensing was applied to test various vegetation indices and make prediction models of protein content of rice for monitoring grain quality and proper management practice. Methods: Image acquisition was carried out by using NIR (Green, Red, NIR), RGB and RE (Blue, Green, Red-edge) camera mounted on UAV. Sampling was done synchronously at the geo-referenced points and GPS locations were recorded. Paddy samples were air-dried to 15% moisture content, and then dehulled and milled to 92% milling yield and measured the protein content by near-infrared spectroscopy. Results: Artificial neural network showed the better performance with $R^2$ (coefficient of determination) of 0.740, NSE (Nash-Sutcliffe model efficiency coefficient) of 0.733 and RMSE (root mean square error) of 0.187% considering all 54 samples than the models developed by PR (polynomial regression), SLR (simple linear regression), and PLSR (partial least square regression). PLSR calibration models showed almost similar result with PR as 0.663 ($R^2$) and 0.169% (RMSE) for cloud-free samples and 0.491 ($R^2$) and 0.217% (RMSE) for cloud-shadowed samples. However, the validation models performed poorly. This study revealed that there is a highly significant correlation between NDVI (normalized difference vegetation index) and protein content in rice. For the cloud-free samples, the SLR models showed $R^2=0.553$ and RMSE = 0.210%, and for cloud-shadowed samples showed 0.479 as $R^2$ and 0.225% as RMSE respectively. Conclusion: There is a significant correlation between spectral bands and grain protein content. Artificial neural networks have the strong advantages to fit the nonlinear problem when a sigmoid activation function is used in the hidden layer. Quantitatively, the neural network model obtained a higher precision result with a mean absolute relative error (MARE) of 2.18% and root mean square error (RMSE) of 0.187%.

• 기술혁신학회지
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• 제14권4호
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• pp.833-859
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• 2011

본 연구는 지역 소재 과학기술 연구 공용장비에 대한 중복투자 방지와 산학연 협력 활성화를 통한 지역내 R&D 효율성을 증진을 위해서 지역 연구 공용장비 운영체계의 특성 도출을 목적으로 하였다. 이를 위해 기술하부구조정책 및 지역혁신체제의 관점에서 R&D투자와 R&D활동이 상대적으로 활발한 경기도 지역의 사례를 분석하였다. 본 연구는 개별사례분석과 교차사례분석의 2단계 프로세스로 수행된다. 우선, 경기도 소재 주요 R&D 기관별 공용장비의 구축 활용 사례 조사와 운영 관련자 인터뷰를 통해 공용장비 운영 특성을 조사하였다. 다음 단계에서는 전(前) 단계에서 조사된 특성들을 공용장비의 운영주체의 조직거버넌스 특성에 따른 3가지 분류와 4가지 이슈를 매트릭스 방식으로 범주화하여 지자체 차원의 정책적 접근이 가능하도록 이슈를 정리하였다. 교차사례분석에 따라 각 운영체계별로 도출된 주요 이슈는 (1) 지자체 주도 운영체계의 경우 '공용장비 사용 수수료 체계' 및 ;공용장비 운용의 성과 지표 정립 및 성과 측정 방법'，(2) 국가/지자체/공공연구기관 등 공동 운영체계의 경우 '공용장비 운용 성과' 및 '사업부별 공용장비 회계시스템 구축', '예산 지원방식 변경'，(3) 대학 운영체계의 경우 '사업종료 후 지속적 공동활용 촉진 방안' 등으로 나타났다.

• Steel and Composite Structures
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• 제47권1호
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• pp.91-102
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• 2023

To study the evaluation standard and control limit of mortar filling layer void length, in this paper, the train sub-model was developed by MATLAB and the track-bridge sub-model considering the mortar filling layer void was established by ANSYS. The two sub-models were assembled into a train-track-bridge coupling dynamic model through the wheel-rail contact relationship, and the validity was corroborated by the coupling dynamic model with the literature model. Considering the randomness of fastening stiffness, mortar elastic modulus, length of mortar filling layer void, and pier settlement, the test points were designed by the Box-Behnken method based on Design-Expert software. The coupled dynamic model was calculated, and the support vector regression (SVR) nonlinear mapping model of the wheel-rail system was established. The learning, prediction, and verification were carried out. Finally, the reliable probability of the amplification coefficient distribution of the response index of the train and structure in different ranges was obtained based on the SVR nonlinear mapping model and Latin hypercube sampling method. The limit of the length of the mortar filling layer void was, thus, obtained. The results show that the SVR nonlinear mapping model developed in this paper has a high fitting accuracy of 0.993, and the computational efficiency is significantly improved by 99.86%. It can be used to calculate the dynamic response of the wheel-rail system. The length of the mortar filling layer void significantly affects the wheel-rail vertical force, wheel weight load reduction ratio, rail vertical displacement, and track plate vertical displacement. The dynamic response of the track structure has a more significant effect on the limit value of the length of the mortar filling layer void than the dynamic response of the vehicle, and the rail vertical displacement is the most obvious. At 250 km/h - 350 km/h train running speed, the limit values of grade I, II, and III of the lengths of the mortar filling layer void are 3.932 m, 4.337 m, and 4.766 m, respectively. The results can provide some reference for the long-term service performance reliability of the ballastless track-bridge system of HRS.

• 한국ITS학회 논문지
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• 제14권3호
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• pp.50-62
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• 2015

최근 지하철 9호선은 2단계 연장구간의 개통으로 최대 240% 혼잡도를 기록하는 등 지옥철로 불리우며 역사 내 상습혼잡에 대한 문제점이 지속적으로 야기되고 있는 실정이다. 역사 내 혼잡은 이용객의 불쾌감 유발과 철도 운영 효율성을 저하시키는 요인이 되고 있다. 본 연구는 이러한 철도역사 내 상습혼잡 해소를 위해 철도 이용객 정보제공의 효과평가 방법론을 정립하고자 하였으며, 효과평가 방법론 중 승강장의 혼잡상황을 고려한 Gate Metering 사례 연구를 진행하였다. Gate Metering을 접목시킨 Micro Simulation 및 Pedestrian Simulation Tool을 선정하여 열차의 혼잡도별 Metering 효과분석을 시행하였으며, 그 결과 Gate Metering 시행 시 혼잡도별 승강장의 서비스 수준 및 보행밀도가 개선되는 것을 확인하였다. 승강장에서 Metering을 실시 할 경우 플랫폼 대기 공간 내 혼잡도 조절 가능성이 있다고 판단한 것 이다. 따라서, 본 연구를 통하여 철도역사 내 이용객 혼잡도 관리를 위한 정보제공 효과평가 지표 수립 및 프로그램을 통한 이용객 정보제공 효과평가 방법론 정립이 가능하다는 것으로 판단되었다.