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김규영(Kim Gyu-Young),최연우(Choi Yeon-Woo) 한복문화학회 2014 韓服文化 Vol.17 No.4
The study aims to compare ‘Jeongrye’ and ‘Deungnok,’ records on the wedding costume worn by princesses in the late Joseon dynasty, and examine the types of wedding costumes and the changes in their characteristics. Through the research, it was found that there were 18 wedding costume lists in Jeongrye and 23 wedding costume lists in Deungnok, and that these wedding costume lists had close correlations. First of all, King Youngjo did not define Jeongrye all of a sudden for the purpose of frugality; rather, it was reorganized while compiling Jeongrye to reflect the reduction in lists or quantity of wedding costumes. Second, after the compilation of Jeongrye, it was actually applied to a wedding ceremony. Third, wedding costume lists were more reduced than Jeongrye in the era of King Youngjo, when frugality was emphasized. Fourth, the wedding costume lists that had been dramatically decreased were restored as specified in Jeongrye after King Youngjo’s death. Compared to the era in which the wedding costume lists were established at a minimum, they were restored according to Jeongrye after King Youngjo’s death, and it appeared that his efforts to refrain from extravagance and put frugality into practice came to fruition to some degree. With the establishment of Jeongrye, guidelines on the wedding costumes worn by princesses were specified, and the wedding costume for Princess Younghye, the last princess of the Joseon dynasty, was made based on these. In addition, the king’s daughters were differentiated from the crown prince’s daughters when the guidelines on wedding costumes were established, and this principle is confirmed in records established in 1649, making it highly likely that it existed previously.
컨벤션 참가자의 컨벤션센터 이미지가 만족과 애호도에 미치는 영향
김규영(Gyu Young Kim),여호근(Ho Keun Yeo) 한국호텔외식관광경영학회 2009 호텔경영학연구 Vol.18 No.1
This study has analyzed the image, satisfaction, loyalty and revisit intention of user in the convention center. This study has been attempted to use literature and to interview of exhibitors and visitors, especially at the COEX, BEXCO, EXCO which has been opened on from september, 15 to september 30 in 2006. The primary purpose of this study was to investigate relationship between the image, satisfaction and loyalty of users for convention center. This research result has indicated that differentiation about image and satisfaction to loyalty and revisit have to be proceed.
EDISON 프로그램을 사용한 3차원 팽창 피라미드 구조의 최적화 연구
김규영(Gyu-Young Kim),김수호(Soo-ho Kim),윤기원(Gi-Won Yun),김현규(Hyun-Gyu Kim) 한국항공우주학회 2017 韓國航空宇宙學會誌 Vol.45 No.9
팽창(auxetic) 구조물은 음의 프와송 비로 거동하는 구조체로, 에너지 흡수 및 파괴 인성 등이 높은 것으로 알려져 있다. 본 논문에서는 최적화의 목적을 음의 프와송비가 높으며 50 N/mm 이상의 강성을 갖는 팽창 구조를 설계하고자한다. 길이, 두께, 각도를 설계 인자로 정의하였고, 응력, 프와송 비 그리고 강성을 반응 요소로서 정의하였다. Box-Behnken 방법을 사용하여 4인자, 3수준 실험 설계를 수행하였고, Edison 프로그램 중 CSD_EPLAST를 사용하여 유한요소 해석을 수행하였다. Auxetic structures with negative Poisson’s ratio can be used to achieve high mechanical properties in energy absorption and destruction toughness. In this paper, we aim to design an auxetic structure which has a high negative Poisson’s ratio and a stiffness over 50N/mm by using an optimization method. Length(L), thickness(t) and angle(θ₁, θ₂) of an auxetic pyramid are the design parameters, and also stress, Poisson`s ratio and stiffness are thr reaction factors. We used Box-Behnken method and conducted 4 factors – 3 levels experiment design. Finite element models are analyzed by using Edison program CSD_EPLAST.
차량의 부분 특징을 이용한 터널 내에서의 차량 검출 및 추적 알고리즘
김현태,김규영,도진규,박장식,Kim, Hyun-Tae,Kim, Gyu-Young,Do, Jin-Kyu,Park, Jang Sik 한국전자통신학회 2013 한국전자통신학회 논문지 Vol.8 No.8
본 논문에서는 터널 내에서 차량의 운행 상태를 모니터링하기 위하여 차량 검출 및 추적 알고리즘을 제안한다. 제안하는 알고리즘은 세 단계로 이루어진다. 첫 단계는 배경추정으로서 비교적 간단한 Running Gaussian Average (RGA)를 사용한다. 두 번째 단계는 차량검출 단계이며, Adaboost 알고리즘을 적용한다. 상대적으로 먼거리의 차량에 대한 오검출을 줄이기 위하여 차량의 높이별 부분 특징을 이용하여 차량을 검출한다. 물체의 부분 특징들이 임계값 이상이면 차량으로 분류한다. 마지막 단계는 차량추적 단계이며, Kalman 필터를 적용하여 이동하는 물체를 추적한다. 컴퓨터 시뮬레이션을 통하여 제안하는 알고리즘이 터널 내에서 차량 검출 및 추적에 유용한 것을 확인하였다. In this paper, an efficient vehicle detection and tracking algorithm for detection incident in tunnel is proposed. The proposed algorithm consists of three steps. The first one is a step for background estimates, low computational complexity and memory consumption Running Gaussian Average (RGA) is used. The second step is vehicle detection step, Adaboost algorithm is applied to this step. In order to reduce false detection from a relatively remote location of the vehicles, local features according to height of vehicles are used to detect vehicles. If the local features of an object are more than the threshold value, the object is classified as a vehicle. The last step is a vehicle tracking step, the Kalman filter is applied to track moving objects. Through computer simulations, the proposed algorithm was found that useful to detect and track vehicles in the tunnel.