• 한국측량학회지
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• 제20권3호
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• pp.283-291
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• 2002

GPS의 SA 해제 이후, 상대적으로 비중이 작았던 대기층지연, 다중경로(Multipath) 등 모델링 연구를 통하여 측위 정확도를 보다 향상시킬 수 있는 오차요인의 보정에 관심이 모아지고 있다. 본 연구는 Goad&Goodman, A&K, Hopfield 및 Sasstamoinen 보정모델에 의한 대류층 지연량의 예측은 물론 천정방향의 지연량에 Niell, Chao 및 Marini 맵핑 함수를 적용한 조합 프로그램을 작성하여 기상센서가 운용되는 특정 관측소의 기상자료를 적용하고 GPS 위성의 고도 변화에 따른 대류층 신호 지연량의 변화와 보정모델 및 맵핑 함수의 조합에 따른 지연량의 변화 양상을 비교.고찰한 것으로 특히, 고도각이 $10^{\circ}$ 이하인 저고도 GPS관측자료의 대류층 지연보정시, 천정방향 보정모델과 맵핑 함수의 조합 및 맵핑 함수의 특성 등을 고려하여 보정함이 타당할 것으로 사료되었다.

• 대한원격탐사학회지
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• 제35권5_2호
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• pp.781-796
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• 2019

본 연구에서는 2016년 8월 태풍 "라이언록"으로 인해 극심한 피해를 입었던 회령시, 무산군 일대를 포함하고 있는 두만강 유역에 대하여 홍수특성을 분석하고자 하였다. 두만강 유역은 수문자료가 구축되어 있지 않은 미계측 유역이므로 원격탐사 자료를 통하여 유역특성 및 유출인자를 추정하여 홍수량 분석에 활용하였다. 대상유역에 대한 적용에 앞서 두만강 유역과 비교적 유역특성이 유사하고 계측자료 확보가 용이한 소양강댐 유역에 대하여 홍수유출분석을 실시함으로써 본 연구의 분석방법 및 자료의 적용성을 검증하였다. 분석결과, 태풍 "라이언록"으로 인한 홍수량은 3~5년 빈도 설계홍수량에 해당되는 것으로 향후에도 이 지역에 비슷한 수준의 홍수피해를 입을 가능성이 높음을 확인하였다. 마지막으로 본 연구를 통하여 수문관측자료가 부재한 미계측 지역에 대한 홍수량 산정시 원격탐사와 공간정보의 활용 가능성을 확인할 수 있었다.

• 한국음향학회지
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• 제38권5호
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• pp.494-510
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• 2019

수중음향통신시스템의 모뎀이나 채널 코딩 설계를 위한 채널 매개변수는 임펄스 응답, 지연 확산, 산란함수, 도플러 확산, 상관 대역폭, 주파수 선택적 페이딩, 상관 시간 및 시변 진폭 페이딩의 통계적 분포 함수 등이다. 이들 매개 변수들은 주어진 해양 음향 조건에서 수층의 음속 구조, 플렛폼의 운동이나 해면의 거칠기에 영향을 받는다. 본 논문에서는 송수신기 고정 천해 수중음향통신 채널에 대한 페이저 기반의 채널 모델과 모의실험 및 채널 매개변수들의 측정과 분석 방법을 제시하고 천해의 실험 자료를 이용하여 이들 매개변수들을 해석하였다. 송수신기 거리가 300 m와 600 m에 대한 이들 매개 변수들은 직접파, 산란 성분을 갖는 해면 반사파 및 해저 반사파로 구성되는 3개 다중 경로에 의해 그 특징이 결정됨을 보인다. 연구의 결과는 천해 고정 시스템의 채널 모델 방법, 채널 매개변수들의 측정과 분석 방법 및 시스템 설계와 성능평가 방법을 제시한다.

• Geomechanics and Engineering
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• 제19권2호
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• pp.153-165
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• 2019

A case study of monitoring and analysis of surface settlement induced by tunneling of Tabriz metro line 2 (TML2) is presented in this paper. The TML2 single tunnel has been excavated using earth pressure balanced TBM with a cutting-wheel diameter of 9.49 m since 2015. Presented measurements of surface settlements, were collected during the construction of western part of the project (between west depot and S02 station) where the tunnel was being excavated in sand and silt, below the water table and at an average axis depth of about 16 m. Settlement readings were back-analyzed using Gaussian formula, both in longitudinal and transversal directions, in order to estimate volume loss and settlement trough width factor. In addition to settlements, face support and tail grouting pressures were monitored, providing a comprehensive description of the EPB performance. Using the gap model, volume loss prediction was carried out. Also, COB empirical method for determination of the face pressure was employed in order to compare with field monitored data. Likewise, FE simulation was used in various sections employing the code Simulia ABAQUS, to investigate the efficiency of numerical modelling for the estimating of the tunneling induced-surface settlements under such a geotechnical condition. In this regard, the main aspects of a mechanized excavation were simulated. For the studied sections, numerical simulation is not capable of reproducing the high values of in-situ-measured surface settlements, applying Mohr-Coulomb constitutive law for soil. Based on results, for the mentioned case study, the range of estimated volume loss mostly varies from 0.2% to 0.7%, having an average value of 0.45%.

• 지구물리와물리탐사
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• 제8권1호
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• pp.73-77
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• 2005

전도성 지질에서 얻어진 지표 핵자기 공명(SNMR) 자료를 올바르게 역산하고 해석하기 위해서는 기하의 전기전도도 분포에 대한 정확한 추정이 필요하다. 이러한 추정 결과는 SNMR 수직탐사를 수행하기 이전에 전도도 구조가 지하수 탐지를 방해할 것인지에 대해 결정하는데 유용할 것이다 이 논문에서는 SNMR 모델링을 이용하여 지하 전기전도도 구조가 주어졌을 때, 대부분의 SNMR 신호를 발생하는 심도 범위를 결정하는 방법을 서술하였다. 이 논문에서는 반무한 공간에서 SNMR침투 심도를 추정하는 방법을 사용하였으며 전도성 반무한 공간(<10 ohm-m)에서는 침투심도가 50 m 이내라는 것을 보였다. 또한 이러한 반an한 공간 모델에서는 동일위치 방식의 loop 크기를 늘리더라도 침투심도를 뚜렷이 증가시키지 못함도 알 수 있었다. 이러한 결과는 좀 더 복잡한 1 차원 전도도 구조에 대한 반무한 공간 근사를 통해 전도성 지층에서 신호가 얻어질 수 있는 심도 범위를 합리적으로 추정하는데 사용될 수 있을 것이다.

• Journal of Korea Trade
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• 제24권8호
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• pp.81-100
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• 2020

Purpose - Based on complexity theory, this study develops a configurational model to predict the profitability of Halal cosmetics firms in the Indonesian and Malaysian markets. The proposed research model involves two level configurations-industry context and selling strategies-to predict high and low scores of a firm's profitability. The industry context configuration model comprises industry stability, product homogeneity, price sensitivity, and switching cost. Selling strategies include customer-focused, competitor-focused, and margin-focused approaches. Design/methodology - This is the first empirical study that calculates causal models using a combination of industry context and selling strategy factors to predict profitability. Data obtained from the marketing managers of cosmetics firms are used to test the proposed configurational model using fuzzy-set qualitative comparative analysis (fsQCA). It contributes to the current knowledge of business marketing by identifying the factors necessary to achieve profitability using analysis of condition (ANC). Findings - The results revealed that unique and distinct models explain the conditions for high and low profitability in the Indonesian and Malaysian halal cosmetic markets. While customer-focused selling strategy is necessary to attain a higher profit in both the markets, margin-focused selling strategy appears to be an essential factor only in Malaysia. Complexity of the interactions of selling strategies with industry factors and differences between across two study markets confirmed that complexity theory can support the research configurational model. The theoretical and practical implications are also illustrated. Originality/value - Despite the rapid growth of the global halal industry, there is little knowledge about the halal cosmetic market. This study contributes to the current literature of the halal market by performing a set of asymmetric analytical approaches using a complex theoretical model. It also deepens our understating of how the Korean firms can approach the Muslim consumer's needs to generate more beneficial turnover/revenue.

• Steel and Composite Structures
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• 제31권6호
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• pp.629-640
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• 2019

The investigation of retaining wall structures behavior under dynamic loads is considered as one of important parts for designing such structures. Generally, the performance of these structures is under the influence of the environment conditions and their geometry. The aim of this research is to design retaining wall structures based on smart and optimal systems. The use of accuracy and speed to assess the structures under different conditions is one of the important parts sought by designers. Therefore, optimal and smart systems are able to have better addressing these problems. Using numerical and coding methods, this research investigates the retaining wall structure design under different dynamic conditions. More than 9500 models were constructed and considered for modelling design. These designs include height and thickness of the wall, soil density, rock density, soil friction angle, and peak ground acceleration (PGA) variables. Accordingly, a neural network system was developed to establish an appropriate relationship between data to obtain safety factor (SF) of retaining walls under different seismic conditions. Different parameters were analyzed and the effect of each parameter was assessed separately. According to these analyses, the structure optimization was performed to increase the SF values. The optimal and smart design showed that under different PGA conditions, the structure performance can be appropriately improved while utilization of the initial (or basic) parameters leads to the structure failure. Therefore, by increasing accuracy and speed, smart methods could improve the retaining structure performance in controlling the wall failure. The intelligent design process of this study can be applied to some other civil engineering applications such as slope stability.

• 한국건축시공학회지
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• 제19권1호
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• pp.77-86
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• 2019

플랜트 건설 프로젝트에 대한 수요가 증가하고 복잡해짐에 따라 예기치 못한 위험 요소가 증가하고 있다. 이에 플랜트 건설 프로젝트에 대한 중점 리스크 요인을 바탕으로 정량적 리스크 분석 및 평가 모델 개발이 요구되고 있다. 본 연구는 보험 회사에서 수집 한 보험금 지급 데이터를 사용하여 플랜트 건설 프로젝트의 실제 재정적 손실을 위험 평가 모델의 종속 변수로 반영하였으며 문헌 검토 및 데이터 분석을 바탕으로, 지형, 시운전, 공정률, 총 공시비 및 총 공사기간을 독립변수로 채택하였다. 제안된 손실율 모델은 플랜트 프로젝트 리스크 분석과 시공/시운전 단계의 리스크 분석가이드라인으로 활용될 수 있다.

• Nuclear Engineering and Technology
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• 제51권6호
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• pp.1514-1524
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• 2019

Hydrogen-steam gas mixture may be injected into containment with flow regime varying both spatially and transiently due to wall effect and pressure difference between primary loop and containment in severe accidents induced by loss of coolant accident. Preliminary CFD analysis is conducted to gain information about the helium flow regime transition process from jet to buoyancy plume for forthcoming experimental study. Physical models of impinging jet and wall condensation are validated using separated effect experimental data, firstly. Then helium transportation is analyzed with the effect of jet momentum, buoyancy and wall cooling discussed. Result shows that helium distribution is totally dominated by impinging jet in the beginning, high concentration appears near gas source and wall where jet momentum is strong. With the jet weakening, stable light gas layer without recirculating eddy is established by buoyancy. Transient reversed helium distribution appears due to natural convection resulted from wall cooling, which delays the stratification. It is necessary to concern about hydrogen accumulation in lower space under the containment external cooling strategy. From the perspective of experiment design, measurement point should be set at the height of connecting pipe and near the wall for stratification stability criterion and impinging jet modelling validation.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2015년도 학술발표회
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• pp.243-243
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• 2015

Low-flow simulation and forecasting is one of the emerging issues in hydrology due to the increasing demand of water in dry periods. Even though low-flow simulation and forecasting remains a difficult issue for hydrologists better simulation and earlier prediction of low flows are crucial for efficient water management. The UN has never stated that South Korea is in a water shortage. However, a recent study by MOLIT indicates that Korea will probably lack water by 4.3 billion m3 in 2020 due to several factors, including land cover and climate change impacts. The two main situations that generate low-flow events are an extended dry period (summer low-flow) and an extended period of low temperature (winter low-flow). This situation demands the hydrologists to concentrate more on low-flow hydrology. Korea's annual average precipitation is about 127.6 billion m3 where runoff into rivers and losses accounts 57% and 43% respectively and from 57% runoff discharge to the ocean is accounts 31% and total water use is about 26%. So, saving 6% of the runoff will solve the water shortage problem mentioned above. The main objective of this study is to present the hydrological modelling approach for low-flow simulation and forecasting using a model that have a capacity to represent the real hydrological behavior of the catchment and to address the water management of summer as well as winter low-flow. Two lumped hydrological models (GR4J and CAT) will be applied to calibrate and simulate the streamflow. The models will be applied to Seolmacheon catchment using daily streamflow data at Jeonjeokbigyo station, and the Nash-Sutcliffe efficiencies will be calculated to check the model performance. The expected result will be summarized in a different ways so as to provide decision makers with the probabilistic forecasts and the associated risks of low flows. Finally, the results will be presented and the capacity of the models to provide useful information for efficient water management practice will be discussed.