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- 저자 : 김대우 (검색결과 442 건)
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김대우,김흥식 문화관광연구학회 2002 문화관광연구 Vol.4 No.2
This study explores and demonstrates the economic impact of the 2001 World Ceramic Exposition which will be held in Kyonggi-Do. The study uses the regional Leontief-Keynes inverse matrix model which extends a static standard model. The results found that the macroeconomic effects of the EXPO are enormous at the regional level as well as the national level. By sector, economic impact of the tourism-related sectors, especially shopping-related and service-related tourism sectors, is great. Further applications of the I/O analysis in the context of economic impact are needed to establish and confirm the results. The implications of these findings for host regions are discussed. Finally, the strategies for a successful millennium event are also presented.
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유도전동기의 결함 검출을 위한 특징 벡터 추출 및 다층 서포트 벡터 머신 기법
김대우,김종면 한국공학안전보건예술학회 2013 한국공학예술학회 논문지 Vol.5 No.-
본 논문에서는 유도 전동기의 결함을 조기에 검출하고 진단하기 위해 이산 코사인 변환과 특이치 분해를 이용한 결함 특징 벡터 추출 방법을 제안하였고, 추출한 특징 벡터를 다층 서포트 벡터 머신의 입력으로 이용하여 유도 전동기의 결함 을 유형별로 분류하는 기법을 기술하였다. 모의실험 결과, 제안한 방법은 5가지의 결함 데이터에 대해 거의 100%의 분류 성능을 보였다. This paper proposes a method of feature vector extraction using discrete cosine transform(DCT) and singular value decomposition(SVD) for early detection of faults in an induction motor. This, the extracted feature vector is used as an input of multi-layer support vector machine(MLSVM) to classify each fault of the induction motor. Experimental results show that the proposed method achieves 100% accuracy to classify among 5 different faults.
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곤충 모방 날개의 스팬방향 유연도가 공력특성에 미치는 영향
김대우,한종섭,장조원 한국항공우주학회 2014 한국항공우주학회 학술발표회 논문집 Vol.2014 No.11
스팬방향의 유연도가 공력특성에 미치는 영향을 조사하기 위한 실험적 연구가 수행되었다. 동역학적으로 상사된 박각시나방 모델과 초소형 힘/모멘트 센서가 실시간 공력생성을 측정하기 위해 적용되었다. 총 6개의 서로 다른 두께를 갖는 날개가 고려되었으며, 각 조건에서 생성된 공력을 비교하였다. 실험결과, 0.12mm과 0.37mm 두께의 날개에서는 양력 생성량이 미비하였고. 0.80mm 두께의 날개에서 가장 좋은 공력특성을 보였다. 본 연구 범위 내의 MAV 설계에 있어서 공력생성량 및 무게 등을 종합적으로 고려 할 때, 0.8mm 날개가 적합한 제원일 것이다. An experimental study was carried out to investigate the influences of spanwise flexibility of a flapping wing on the aerodynamic characteristics. Dynamically scale-up hawkmoth model and micro Force/Moment sensor were employed to measure directly the time-course aerodynamic force generation. Six different wing thicknesses of 0.12, 0.37, 0.50, 0.80 and 1.00mm were compared each other with 3.0mm thickness of the rigid wing case. As results, 0.12 and 0.37mm wings couldn"t generate sufficient lift force. In the case of 0.8mm wing, it showed the best aerodynamic characteristics. Considering aerodynamic performance, weight of wings, etc., the 0.8mm wing will be the best choice for MAV design within the range of this study.
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김대우,최승남 용인대학교 산업경영연구소 2004 산업경영논총 Vol.11 No.-
Real estate is a very important part of general economy of a nation and closely connected with other parts of economy. The factor of rise in price in real estate market lays a vast burden on national economy. It is major property to both individuals and countries. The factor of depreciation in price in real estate also makes many problem in domestic economy. It is important that government stabilizes real estate prices. So it is meaningful work to study the relation between real estate prices and macroeconomic variables. This study is focused on housing prices, because they lead real estate prices and have more effect on individuals and countries than any other real estate. The purpose of this study is to select variables to influence housing prices, and to make model through VAR (Vector Auto-Regressive) analysis to forecast housing prices. Interest rate(company bond rate of interest), exchange rate of won/dollar, stock index, consumer price index, GDP and money(m2) are considered as macroeconomic variables to influence housing prices. Generally the macroeconomic variables are unstable. The unit root test of Augmented Dickey Fuller is used to see stability of variables and unstable variables are converted to stable variables by using difference method and natural logarithm. Granger causality test are used to select proper variables for VAR model. Granger causality test is carried to see what variables have an effect on housing prices. As a result of causality test by Granger Model, GDP, interest and exchange rate cause housing prices significantly. They are checked by cointegration test. As a result, there is no cointegration relationship between them. Now, analysis using VAR model can be applied for forecasting housing prices. The advantage of using VAR model are in that it is simple relative to the other econometric model. From the result of variance of decomposition in structural shocks, terms of interest rate and housing prices have relatively high contribution to housing prices. Housing prices accelerate housing prices. Interest rate has a negative effect on housing prices. Dollar exchange rate and GDP have less effect on housing prices. Real estate policies are to make a comparative analysis of the trend of macroeconomic variables and the situation of real estate market.
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