• 한국태양에너지학회 논문집
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• 제31권2호
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• pp.37-46
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• 2011

The GWNU (Gangnung-Wonju national university) solar radiation model was developed with radiative transfer theory by Iqbal and it is applied the NREL (National Research Energy Laboratory). Input data were collected and accomplished from the model prediction data from RDAPS (Regional Data Assimilated Prediction Model), satellite data and ground observations. And GWNU solar model calculates not only horizontal surface but also complicated terrain surface. Also, We collected the statistical data related on photovoltaic power generation of the Korean Peninsula and analyzed about photovoltaic power efficiency of the Gangwon region. Finally, the solar energy resource and photovoltaic generation possibility map established up with 4 km, 1 km and 180 m resolution on Gangwon region based on actual equipment from Shinan solar plant,statistical data for photovoltaic and complicated topographical effect.

• 한국정보시스템학회지:정보시스템연구
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• 제31권1호
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• pp.115-146
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• 2022

Purpose The purpose of this study is to find meaningful insights using regression analysis to resolve the digital divide between generations. In the analysis process of this study, social network analysis was applied to approach it with a perspective differentiated from the existing statistical techniques. Design/methodology/approach This study used a social network analysis methodology that transforms and analyzes government-led survey data into relational data. First, the cross-sectional data were converted into relational data, and a continuous core-periphery model and multidimensional scaling method were applied. Afterwards, the relationship between various factors affecting the digital divide and the difference in influence were analyzed by generation. Findings According to the network analysis results, it can be seen that all generations commonly use 'information and news search' and 'living information service'. However, it can be seen that the centrally used services of each generation are clearly different from each other, and the degree of linkage between the services is also clearly different. In addition, it can be seen that the relationship between factors influencing the digital divide by generation is also different.

• 물과 미래
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• 제18권1호
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• pp.75-83
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• 1985

초기연구단계에 있는 ARMA(1, 1) 다계절모형에 의해 계절유량을 발생시키기 위한 모형의 변수결정방법과 유량발생 및 발생유량계열의 통계학적분석을 실시하였으며 타모형과의 비교를 위해 Thomas-Fiering 모형, Matalas AR(1) 다계절모형도 사용하였다. 다계절모형에 의해 발생시킨 계절유량을 연도별로 합산하여 얻은 연유량계열의 통계학적 특성치를 년모의발생모형에 의해 발생시킨 년유량계열의 통계특성치와 비교함으로써 ARMA(1, 1) 다계절모형에 의해 계절 및 년유량자료계열을 한꺼번에 모의발생시킬 수 있는 가능성을 평가하였다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.1177-1179
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• 2003

Recently, the ground-based laser profiler is used for acquisition of 3D spatial information of a rchaeological objects. However, it is very difficult to measure complicated objects, because of a relatively low-resolution. On the other hand, texture mapping can be a solution to complement the low resolution, and to generate 3D model with higher fidelity. But, a huge cost is required for the construction of textured 3D model, because huge labor is demanded, and the work depends on editor's experiences and skills . Moreover, the accuracy of data would be lost during the editing works. In this research, using the laser profiler and a non-calibrated digital camera, a method is proposed for the automatic generation of 3D model by integrating these data. At first, region segmentation is applied to laser range data to extract geometric features of an object in the laser range data. Various information such as normal vectors of planes, distances from a sensor and a sun-direction are used in this processing. Next, an image segmentation is also applied to the digital camera images, which include the same object. Then, geometrical relations are determined by corresponding the features extracted in the laser range data and digital camera’ images. By projecting digital camera image onto the surface data reconstructed from laser range image, the 3D texture model was generated automatically.

• 한국태양에너지학회 논문집
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• 제26권1호
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• pp.41-47
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• 2006

Moisture in a building is one of the most important variables influencing building performance, human health, and comfort of indoor environment. However, there are still lacks in the knowledge of understanding the moisture problem well and controlling moisture. Accordingly, in order to provide the fundamental data to control moisture contents in the indoor air, this study was to predict moisture contents transferred through building envelopes and indoor moisture generation rate. Moisture transfer model was made by physical relations in each node, and the indoor moisture generation rate was gained by comparing the model with experimental analyses. From the study, we found out that moisture generation rate was critical and day-periodic, so that we predicted the indoor moisture content by substituting the constant value gained from the average in a day for the moisture generation rate.

• 한국전자통신학회논문지
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• 제16권2호
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• pp.329-338
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• 2021

본 연구는 풍력발전의 합리적인 운영 계획과 에너지 저장창치의 용량산정을 위한 풍력 발전량을 예측한다. 예측을 위해 물리적 접근법과 통계적 접근법을 결합하여 풍력 발전량의 예측 방법을 제시하고 풍력 발전의 요인을 분석하여 변수를 선정한다. 선정된 변수들의 과거 데이터를 수집하여 딥러닝을 이용해 풍력 발전량을 예측한다. 사용된 모델은 Bidirectional LSTM(:Long short term memory)과 CNN(:Convolution neural network) 알고리즘을 결합한 하이브리드 모델을 구성하였으며, 예측 성능 비교를 위해 MLP 알고리즘으로 이루어진 모델과 오차를 비교하여, 예측 성능을 평가하고 그 결과를 제시한다.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2007년도 정기 학술대회 논문집
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• pp.809-812
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• 2007

Automatic generation method of structural analysis model data for a truss bridge is presented through 3-D bridge information modeling based on Industry Foundation Classes(IFC). The mapping schema is proposed between a steel bridge information model based on STEP and a truss bridge information model based on the IFC. The geometry information from mapping is presented by IFC model, and SAP 2000 that can import the IFC file performs the structural analysis. Numerical analysis for a truss bridge is performed in this paper.

• 한국농공학회논문집
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• 제51권6호
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• pp.1-9
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• 2009

Watershed topographical data is essential for the management for water resources and watershed management in terms of hydrology analysis. Collecting watershed topographical and meteorological data is the first step for simulating hydrological models and calculating hydrological components. This study describes a specialized Web-based Geographic Information Systems, Soil Water Assessment Tool model data generation system, which was developed to support SWAT model operation using Web-GIS capability for map browsing, online watershed delineation and topographical and meteorological data extraction. This system tested its operability extracting watershed topographical and meteorological data in real time and the extracted spatial and weather data were seamlessly imported to ArcSWAT system demonstrating its usability. The Web-GIS would be useful to users who are willing to operate SWAT models for the various watershed management purposes in terms of spatial and weather preparing.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 제36회 하계학술대회 논문집 A
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• pp.840-842
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• 2005

Since 2001, Korea government has been purchasing the generation from renewable generation facilities with the higher incentive prices than market price in order to increase the penetration of renewable energies. Generally, the incentive purchase tariff is calculated on the base of the generation cost of renewable power facilities. This paper constructs the input data for economic analysis and evaluates the generation cost of PV, wind power, LFG and small hydro power using LCCA model.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제12권8호
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• pp.341-354
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• 2023

문서의 제목은 문서의 내용을 가장 효율적으로 요약하여 제공해 준다. 이때 독자들이 선호하는 스타일과 언어에 따라 문서의 제목을 다르게 제공해 준다면, 독자들은 문서의 내용을 좀 더 쉽게 예측할 수 있다. 본 연구에서는 문서가 주어졌을 때 언어와 스타일에 따라 제목을 자동 생성하는'교차 언어 및 스타일 기반의 제목 생성 모델을 제안한다. 모델을 학습하기 위해서는 같은 내용을 다른 언어와 다른 스타일로 작성한 병렬데이터가 필요하다. 그러나 이러한 종류의 병렬데이터는 구축하기 매우 어렵다. 반면, 단일 언어와 단일 스타일로 구축된 제목 생성 데이터는 많으므로 본 연구에서는 제로샷(zero-shot) 학습으로 제목 생성을 수행하고자 한다. 교차 언어 및 스타일 기반의 제목 생성을 학습하기 위해 다중 언어로 사전 학습된 트랜스포머 모델에 각 언어, 스타일, 기계번역을 위한 어댑터를 추가하였다. 기계 번역용 병렬데이터를 이용하여 기계번역을 먼저 학습한 후, 동일 스타일의 제목 생성을 학습하였다. 이때, 필요한 어댑터만을 학습하고 다른 부분의 파라미터는 모두 고정시킨다. 교차 언어 및 스타일 기반의 제목을 생성할 때에는 목적 언어와 목적 스타일에 해당하는 어댑터만을 활성화시킨다. 실험 결과로는 각 모델을 따로 학습시켜 파이프라인으로 연결시킨 베이스라인에 비해 본 연구에서 제안한 제로샷 제목 생성의 성능이 크게 떨어지지 않았다. 최근 대규모 언어 모델의 등장으로 인한 자연어 생성에서의 많은 변화가 있다. 그러나 제한된 자원과 제한된 데이터만을 이용하여 자연어 생성의 성능을 개선하는 연구는 계속되어야 하며, 그런 점에서 본 연구의 의의를 모색한다.