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      • KCI등재

        족삼리(足三里) 천궁(川芎) 약침(藥鍼)이 Collagen-induced Arthritis에 미치는 영향

        황영진,임윤경,이현,Hwang, Young-Jin,Yim, Yun-Kyoung,Lee, Hyun 대한침구의학회 2007 대한침구의학회지 Vol.24 No.4

        Objective: The purpose of this study was to observe the effects of Cnidii Rhizoma herbal-acupuncture solution(CR-HAS) at Joksamni($ST_{36}$) on arthritis induced by Collagen II in mice. Methods : The author performed several experimental items. The severity of arthritis, changes of mouse weight, size of the spleen and the degree of stenosis, changes of cytokine level, IgG, IgM and anti-collagen II, changes of immunocyte count, histological changes of the CIA mouse joint were analyzed. Results: 1. In the CR-HA, the arthritis index, the incidence of arthritis, the degree of joint edema was significantly decreased. 2. In the CR-HA, weight, spleen size and stenosis rate was low and maintained as the normal group was. 3. In the CR-HA, cytokine level, IgG, IgM and anti-collagen II were significantly decreased. 4. In the CR-HA, on changes of immunocyte count were maintained to the levels of normal group. 5. In histological changes of the CIA mouse joint, the cartilage destruction and synovial cell proliferation were decreased. Conclusions : These results suggest that CR-HA at the $ST_{36}$ has an important role to control the immune reactions and suppress inflammatory response on the collagen induced rheumatoid arthritis. This study can be a significant supporting evidence that CR-HA will be chosen to be the principal therapy for clinical practice of the rheumatoid arthritis in the future.

      • CPAP 치료 프로그램이 이완형 마비성구어장애자의 과대비성 개선에 미치는 효과

        황영진,김하경,정옥란,예미경,Hwang, Young-Jin,Kim, Ha-Kyung,Jeong, Ok-Ran,Ye, Mi-Kyung 한국음성학회 2005 음성과학 Vol.12 No.2

        This study aimed at investigating the effects of CPAP therapy on hypernasality in flaccid dysarthria. The subject was a flaccid dysarthric patient with hypernasality. An A-B-A experimental research design was used. The therapy program was conducted 16 sessions. During CPAP therapy, the subjects was required to repeat single-word utterances in the form VNCV. The results showed some improvement in decreasing hypernasality.

      • KCI등재

        철근콘크리트 초고층 주상복합 건물의 시공 중 구조성능 분석

        황영진,김재요,Hwang, Young-Jin,Kim, Jae-Yo 한국전산구조공학회 2015 한국전산구조공학회논문집 Vol.28 No.1

        근래 국내 초고층 주상복합 건물에는 철근콘크리트구조가 보편적으로 적용되는데, 이러한 철근콘크리트 초고층 주상복합 건물은 시공 시점에 따라 구조적인 문제가 발생할 수 있다. 따라서, 시공 중인 철근콘크리트 초고층 주상복합 건물에 대하여, 시공 시점별 구조 안전성 및 횡력저항성능을 검토하고자 한다. 이를 위해, 예제 모델로 탑상형의 초고층 주상복합 60층 건물을 선정했고, 기존의 범용구조해석 프로그램을 사용하여 구조해석을 수행하였다. 각 시공 시점별 10층, 20층, 30층, 40층, 50층, 60층 완료모델과 60층 완공단계 모델의 구조성능을 비교하였다. 구조성능 비교를 위해 이 모델들의 고유치해석을 수행하였으며, 횡력저항성능과 부재별 단면성능을 검토하였다. 횡력저항성능 검토를 위해 횡변위비와 층간변위비를 검토했고, 부재별 단면성능 검토는 완공단계에 대한 설계강도비와 시공단계의 설계강도비를 비교하여 부재안전성을 검토하였다. 이 연구를 통해, 시공 중인 철근콘크리트 초고층 건물의 구조 안전성을 검토하고 시공단계에 적합한 구조해석 및 설계하중의 가이드라인을 제시하고자 한다. Recently, the most of domestic high-rise residential complex buildings are constructed with reinforced concrete structures, which may bring structural problems during construction. This study is aimed to analyze structural safety and lateral load-resisting performance of RC high-rise residential complex building under construction. The tower-typed building with 60 floors is selected as a sample model, and numerical analyses are performed. The structural performances of building structures at construction stages, which are resulted form the analyses of numerical models completed up to 10th, 20th, 30th, 40th, 50th, or 60th floor, are compared to those of the completed building structure. For the comparisons of structural performances, modal shapes and fundamental periods of building structures, lateral load-resisting performances, and structural design performances of structural members are considered. The lateral displacement and story drift ratio are analyzed for lateral load-resisting performances, and comparisons of design ratios at construction and design stages are performed for structural design performances of structural members. The guideline of design loads and structural analysis schemes for checking the safety of RC high-rise building under construction is presented.

      • KCI등재

        VAR 모형을 이용한 추세 데이터 예측

        황영진 ( Young Jin Hwang ) 한국응용경제학회 2013 응용경제 Vol.15 No.3

        이 논문은 VAR 모형을 이용한 예측에서 널리 쓰이는 수준 변수 및 변수를 이용한 모형 설정과 함께, Hodrick-Precsott 필터 및 선형추세 제거 등의 방법으로 추세를 제거한 변수들을 이용한 모형 설정, 변수의 구조적 변화의 고려등 다양한 예측 모형들을 고려하고, 이들의 예측력을 비교한다. 이러한 모형들의 예측 결과를 비교해 보면, 각 모형별로 상당한 예측력의 차이가 있었으며, 각 변수와 예측 시계별로 우위를 보이는 별도의 추세 제거ㆍ변형 방법이 있는 것으로 나타났다. 특히, 통상적으로 널리 쓰이는 수준 변수 또는 차분 변수를 이용한 모형 외에도, 추세를 제거한 변수들을 사용한 VAR 모형도 상당정도 주목할 만한 성과를 보여주었다. 이상의 결과는 이러한 모형들이, 추세 데이터의 적절한 성격을 감안한 모형 설정을 통해, 통상적인 설정의 VAR모형과 함께 유용한 예측 모형으로 사용될 수 있음을 시사하고 있다. This paper compares the forecast performance of small-scale Bayesian VAR models under various data transformations including level and difference (both with and without structural breaks), the Hodrick-Prescott filter, and linear detrending. The results show that there is no unique data transformation yielding the best forecast in every case, that is, for all variables and at all forecast horizons. Instead, there are rather substantial differences in forecast results across data transformation methods. Some models in detrended data perform reasonably well in several cases. We illustrate that in VAR forecasting, it is a critical consideration for one to use appropriately transformed, or detrended if necessary, data, along with careful model specification. In particular, it is shown that the popular VAR specifications in level or differenced data may be augmented or complemented with alternative VARs in detrended data to improve forecasting.

      • KCI등재

        한국 주택 가격의 경기 순환: 특징 및 함의

        황영진 ( Young Jin Hwang ) 한국부동산분석학회 2015 不動産學硏究 Vol.21 No.4

        This paper examines the cyclical characteristics of monthly Korean housing prices using a variety of detrending/filtering methods that take into account several issues in identifying and estimating trend/cycle decomposition. Specifically, the methods we employ include first differences, linear detrending, Hodrick-Prescott filter, band pass filter, Beveridge-Nelson decomposition, and unobserved component models. While the estimated cyclical components exhibit varying behavior across methods (with reasonable interpretation), the author found largely similar patterns for cyclical behavior of housing prices. The overall findings based on estimation results are as follows. First, approximately five cycles of housing prices during the period of 1986-2014 were identified as were additional tentative peaks and trough dates. Second, changing behavior in housing price cycles was identified. Cyclic persistence and volatility tended to decrease over time (in particular, after the Asian financial crisis of 1997). Third, the author provides some evidence that housing market cycles are asynchronous with overall macro cycles. The estimated turning points in housing market cycles do not seem to correspond to official reference cycle dates and the movements of housing prices tend to have lower correlation with aggregate real variables such as the industrial production index and composite cyclical indices. These features are more pronounced during housing market booms.

      • KCI등재
      • KCI등재

        동태적 모형 선택법을 이용한 주택가격 예측 변수 분석

        황영진 ( Young Jin Hwang ) 한국부동산분석학회 2013 不動産學硏究 Vol.19 No.4

        This paper presents a time series forecasting model of the Korean housing prices using the dynamic model selection. This methodology is attractive in that not only model coefficients but also the entire forecasting model (i.e., predictors) are allowed to change over time. It is found that dynamic model selection performs better than other alternative popular forecasting models including conventional regressions, random walk, autoregressive models, and time-varying parameter models. When looked at which sets of predictors are relevant for forecasting in each period, there are noticeable changes in predictors over forecast horizons. For short horizons, housing prices seem to be largely affected by housing market developments and business cycles; however, GDP and consumption seem to play a lesser role during housing market booms. For medium-run horizons, monetary aggregates and financial market variables appear to replace the aforementioned variables and have more predictive power, indicating that portfolio adjustment in asset markets may be a critical factor in housing price changes.

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