• 한국지반공학회논문집
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• 제36권7호
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• pp.5-14
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• 2020

간사이 공항은 1994년 9월에 개항하였다. 제 1기섬 완공 후 26년이 지났지만 여전히 장기침하가 진행되고 있다. 이 침하는 Pleistocene층에서 발생하고 있다. 계속적으로 변하는 수평방향으로의 지층두께 및 세립분의 함유량이 달라 Pleistocene 모래층의 투수성을 결정하는 것이 쉽지 않기 때문이다. 또한 인접한 제 2기섬의 건설에 따른 지반의 상호거동을 예측에 대한 어려움도 존재한다. 이 문제를 해결하기 위해서, 인접한 두 매립 섬의 건설에 따른 교차하는 Pleistocene 지반의 상호거동을 포함한 장기변형을 평가하기 위해 탄점소성을 고려한 2차원 유한요소해석이 수행되었다. 일반적으로 2차원해석은 한 개의 단면이 전체 단면을 대표할 수 있을 때 사용이 가능하다. 하지만 간사이공항은 매립에 의한 인공섬으로서 2차원 해석으로는 섬의 코너(corner) 부분의 응력 변형문제에 적용할 수 없으며, 물리탐사를 통한 실제 하부지반의 구조도 불균질하며 그 두께 또한 일정하지 않아 2차원해석만으로는 한계가 있다. 즉, 3차원 해석이 강력히 요구된다. 이러한 요구에 의해 본 저자는 탄점소성 해석이 가능한 기존의 2차원 프로그램을 3차원으로 확장하였으며, 1차원 압밀해석해을 통해서 개발한 3차원 프로그램의 검증(verification)을 완료하였다. 본 논문은 검증을 마친, 개발한 3차원 프로그램의 유효성을 입증하기 위해서, 2차원 프로그램을 이용한 기존의 연구와 동일한 해석조건으로 해석을 수행하여, 해석결과를 2차원 결과와 실제 계측값과 비교함으로서 개발한 3차원 수치해석프로그램의 유효성을 입증(demonstration)하였다.

• 한국농공학회지
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• 제26권4호
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• pp.52-65
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• 1984

In general precise estimation of hourly of daily distribution of the long-term run-off should be very important in a design of source of irrigation. However, there have not been a satisfying method for forecasting of stationar'y long-term run-off in Korea. Solving this problem, this study introduces unit-hydrograph method frequently used in short-term run-off analysis into the long-term run-off analysis, of which model basin was selected to be Sumgin-river catchment area. In the estimation of effective rainfall, conventional method neglects the Soil moisture condition of catchment area, but in this study, the initial discharge (qb) occurred just before rising phase of the hydrograph was selected as the index of a basin soil moisture condition and then introduced as 3rd variable in the analysis of the reationship between cumulative rainfall and cumulative loss of rainfall, which built a new type of separation method of effective rainfall. In next step, in order to normalize significant potential error included in hydrological data, especially in vast catchment area, Snyder's correlation method was applied. A key to solution in this study is multiple correlation method or multiple regressional analysis, which is primarily based on the method of least squres and which is solved by the form of systems of linear equations. And for verification of the change of characteristics of unit hydrograph according to the variation of a various kind of hydrological charateristics (for example, precipitation, tree cover, soil condition, etc),seasonal unit hydrograph models of dry season(autumn, winter), semi-dry season (spring), rainy season (summer) were made respectively. The results obtained in this study were summarized as follows; 1.During the test period of 1966-1971, effective rainfall was estimated for the total 114 run-off hydrograph. From this estimation results, relative error of estimation to the ovservation value was 6%, -which is mush smaller than 12% of the error of conventional method. 2.During the test period, daily distribution of long-term run-off discharge was estimated by the unit hydrograph model. From this estimation results, relative error of estimation by the application of standard unit hydrograph model was 12%. When estimating by each seasonal unit bydrograph model, the relative error was 14% during dry season 10% during semi-dry season and 7% during rainy season, which is much smaller than 37% of conventional method. Summing up the analysis results obtained above, it is convinced that qb-index method of this study for the estimation of effective rainfall be preciser than any other method developed before. Because even recently no method has been developed for the estimation of daily distribution of long-term run-off dicharge, therefore estimation value by unit hydrograph model was only compared with that due to kaziyama method which estimates monthly run-off discharge. However this method due to this study turns out to have high accuracy. If specially mentioned from the results of this study, there is no need to use each seasonal unit hydrograph model separately except the case of semi-dry season. The author hopes to analyze the latter case in future sudies.

• 정보관리학회지
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• 제37권2호
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• pp.251-284
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• 2020

정보의 활용이 국가 경쟁력의 핵심으로 부각되면서 우리 정부를 포함한 주요 선진국들은 데이터를 중요하게 인식하고 있으며, 이에 따라 장기보존 기술 연구 및 표준 제정 등을 추진하여 데이터의 체계적인 관리 및 보존을 위한 노력을 지속적으로 기울이고 있다. 그러나 현재 국내의 경우 다양한 유형의 데이터들에 대해 법령에는 기록관리 대상으로 명시하고 있지만, 이를 수집, 관리 및 보존하기 위한 구체적인 방법은 표준전자문서 이외에는 없는 상황이다. 특히, 행정정보시스템에서 생산되는 엄청난 규모의 데이터세트에 대한 관리 및 보존은 무엇보다 강하게 요구되어 왔으나 데이터세트에 대한 지침이 제대로 제공되고 있지 않고 있다. 보존포맷 선정체계가 마련되어야 시스템 보완 및 구축이 가능하기 때문에 우선적으로 데이터세트 특성을 고려한 보존포맷 선정 기준 체계가 보다 구체화 되어야 하며, 선정기준에 따라 도출된 데이터세트 보존포맷의 변환에 대한 실증적인 검증 작업이 필요하다. 이에 본 연구는 데이터세트의 특성을 고려한 보존포맷 선정 기준에 대한 평가체계를 도출하고, 보존포맷에 대한 실증적 검증을 통해 장기보존할 수 있는 방안을 제시하고자 한다.

• Journal of Information Processing Systems
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• 제17권4호
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• pp.818-833
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• 2021

To address the problems of low precision rate, insufficient feature extraction, and poor contextual ability in existing text sentiment analysis methods, a mixed model account of a CNN-BiLSTM-TE (convolutional neural network, bidirectional long short-term memory, and topic extraction) model was proposed. First, Chinese text data was converted into vectors through the method of transfer learning by Word2Vec. Second, local features were extracted by the CNN model. Then, contextual information was extracted by the BiLSTM neural network and the emotional tendency was obtained using softmax. Finally, topics were extracted by the term frequency-inverse document frequency and K-means. Compared with the CNN, BiLSTM, and gate recurrent unit (GRU) models, the CNN-BiLSTM-TE model's F1-score was higher than other models by 0.0147, 0.006, and 0.0052, respectively. Then compared with CNN-LSTM, LSTM-CNN, and BiLSTM-CNN models, the F1-score was higher by 0.0071, 0.0038, and 0.0049, respectively. Experimental results showed that the CNN-BiLSTM-TE model can effectively improve various indicators in application. Lastly, performed scalability verification through a takeaway dataset, which has great value in practical applications.

• 한국조리학회지
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• 제22권5호
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• pp.325-338
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• 2016

본 연구는 모바일 외식 어플리케이션에 대한 혁신성, 정보제공 의존성, 신뢰성 및 정보제공 충분성을 선행요인으로 설정하고, 이러한 외식 모바일 어플리케이션에 대한 만족도 차원의 지속적 이용 및 장기지향성에 미치는 영향관계를 검증하여 모바일 외식 어플리케이션에 유용한 정보를 제시하고자 하였다. 자료 수집은 2016년 2월 1일부터 2월 28일까지 실시하였으며, 설문지는 총 500부를 배포하여 441부를 회수하였고, 이 중 통계분석이 가능한 396부에 대하여 SPSS 22.0과 AMOS 22.0을 이용하여 요인분석과 신뢰성 검증을 실시하고, 제시된 연구가설을 검증하기 위해서 공분산 구조분석을 실시하였다. 분석결과를 요약하면 첫째, 혁신성, 의존성을 높게 지각할수록 지속적 이용에 유의한 정(+)의 영향을 미치는 것으로 분석되었다. 반면, 충분성, 신뢰성은 유의한 영향을 미치지 못하는 것으로 나타났다. 둘째, 지속적 이용이 높을수록 장기지향성도 정(+)의 방향으로 높아지는 것으로 분석되었다. 셋째, 외식 어플리케이션에 대한 혁신성이 높을수록 장기지향성도 높아지는 것으로 분석되었다. 반면, 충분성, 의존성, 신뢰성은 유의한 영향을 미치지 못하는 것으로 나타났다. 따라서 이와 같은 분석결과를 토대로 외식 어플리케이션에 대한 유용한 시사점을 제시하였다.

• 한국대기환경학회지
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• 제7권3호
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• pp.150-155
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• 1991

The Gaussian models were selected as the reference models for the study. During the study of the model verification in the Ulsan Industrial Complex, the accuracy and limitation of models were assessed. The correlation coefficients of the observed and the predicted values for CDM 2.0 and TCM2B were ranged from 0.57 to 0.73 and from 0.72 to 0.86, respectively. And there were relatively large discrepancies between the predicted and predicted and the measured concentrations for several locations. Therefore, the Gaussian models should be used with careful discretion to apply the urban area in Korea.

• 한국농공학회논문집
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• 제61권1호
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• pp.1-8
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• 2019

Developing reliable soil moisture prediction techniques at agricultural regions is a pivotal issue for sustaining stable crop productions. In this study, a physically-based SWAP(Soil-Water-Atmosphere-Plant) model was suggested to estimate soil moisture dynamics at the study sites. ROSETTA was also integrated to derive the soil hydraulic properties(${\alpha}$, n, ${\Theta}_r$, ${\Theta}_s$, $K_s$) as the input variables to SWAP based on the soil information(Sand, Silt and Clay-SSC, %). In order to predict the soil moisture dynamics in future, the mid-term TIGGIE(THORPEX Interactive Grand Global Ensemble) and long-term S2S(Subseasonal to Seasonal) weather forecasts were used, respectively. Our proposed approach was tested at the six study sites of RDA(Rural Development Administration). The estimated soil moisture values based on the SWAP model matched the measured data with the statistics of Root Mean Square Error(RMSE: 0.034~0.069) and Temporal Correlation Coefficient(TCC: 0.735~0.869) for validation. When we predicted the mid-/long-term soil moisture values using the TIGGE(0~15 days)/S2S(16~46 days) weather forecasts, the soil moisture estimates showed less variations during the TIGGE period while uncertainties were increased for the S2S period. Although uncertainties were relatively increased based on the increased leading time of S2S compared to those of TIGGE, these results supported the potential use of TIGGE/S2S forecasts in evaluating agricultural drought. Our proposed approach can be useful for efficient water resources management plans in hydrology, agriculture, etc.

• 한국해양공학회지
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• 제33권6호
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• pp.632-640
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• 2019

Desalination plant ships have been recently regarded as one of the probable solutions for drought seasons in many countries. Because desalination plants should be mounted on the desalination ships and special purpose storages such as salty waste water tanks are necessary, onboard and compartment arrangements would be distinguished from those of other conventional commercial ships. This paper introduces some basic design procedure including resistance/propulsion and seakeeping performances. The ship lines were improved step by step after modification of the ship lines and verification of resistance/propulsion performances using computational fluid dynamics (CFD). After finalization of the ship lines, the seakeeping performance was also evaluated to check motion behaviors and drive wave-induced loads such as the wave shear force and bending moment. It was proved that the predicted long-term vertical wave shear force and bending moment were significantly less than the rule-based ones, thus it is expected that the deliverables of this study will reduce the construction cost of desalination plant ships.

• 대한토목학회논문집
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• 제32권1B호
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• pp.1-7
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• 2012

본 연구에서는 준 2차원 수치모형인 GSTARS를 이용하여 형산강의 하상변동모의에 적합한 최적 유사량공식을 산정하고자 하였다. 모형의 검보정을 위한 유사량, 하상재료 및 하천지형자료를 현장조사를 통해 취득하였다. 현재까지 널리 적용되는 유사량 공식들에 대하여 장기하상변동 모의결과의 실측치에 대한 평균오차, 상대오차, 평균제곱오차, 상대제곱근오차, 불일치율, 그리고 Nash-Sutcliffe 효율계수를 비교한 결과, Laursen(1958)공식이 형산강의 장기하상 변동을 모의하기 위한 가장 적합한 유사량공식으로 판단되었다.

• 한국태양에너지학회 논문집
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• 제39권2호
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• pp.45-55
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• 2019

More than 76% of the detached houses in Korea are over 20 years old. These old detached houses have poor energy efficiency. According to the 2017 Housing Census (Statistics Korea), more than 50% of low-income families live in detached houses. Therefore, the improvement of energy efficiency in old detached houses is needed from the viewpoint of energy welfare. The general method of building energy modelling for the verification of energy efficiency is based on the construction year data of "Building Design Criteria for Energy Saving" due to the cost and time involved in collecting the thermal performance data of buildings. There is poor accuracy with the deterioration of long-term aging of building materials. Also, the selection of alternatives for energy performance improvement is based on the items to be applied, not a performance improvement goal. It is difficult to calculate energy performance that reflects variations in various parameters with dynamic energy simulations. In this study, the influence of long-term aging is used to accurately predict the energy performance of old detached houses. The building energy modelling method is called ENERGY#, which is a static analysis method based on ISO13790. Energy performance is evaluated by a combination of input variables including building orientation, insulation of walls and roof, thermal performance of windows and window/wall ratio, and infiltration rate. Finally, this study provides a way to determine alternatives that meet energy performance improvement goals.