• 한국의류학회지
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• 제28권2호
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• pp.252-261
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• 2004

In this complex marketing world, marketers find themselves having to grapple with difficult issues about branding and their brand management. In many cases, a deeper understanding of how consumers feel, think, and act could provide valuable guidance to address these brand-management challenges. The objective of this study is to conceptualize and test the framework of building fashion brand equity, utilizing Keller＇s CBBE Model as a theoretical framework and Kim and Lim＇s (2002) scale as a measurement model of fashion brand equity. We conducted a survey toward 696 university students using Kim and Lim＇s fashion brand equity scale. To test the hypothesized building paths of fashion brand equity, statistical analyses were performed with AMOS 4.1 program using confirmatory factor analysis and structural equation model. The results of this study were as follows. First, fashion brand equity was defined in terms of six components; customer-brand resonance, customer feeling, customer judgment, brand imagery. brand performance and brand awareness. Fashion brand equity was multi-dimensional brand attitude, which could be measured by 16 items. Consequently, Kim and Lim＇s scale acquired a statistical validity. Second, the proposed conceptual framework of this study was partially significant. We can provide an effectiveness of Keller＇s CBBE model to conceptualize the building process of fashion brand equity. Third, it was different between two brands to build fashion brand equity.

• 한국공간구조학회논문집
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• 제9권4호
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• pp.73-80
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• 2009

성능에 기초한 내진설계에서 구조물의 지진에 대한 성능평가를 위하여 구조물의 비탄성 지진거동을 정확하게 예측하는 젓이 중요하다. 정확한 시스템의 연성능력 평가를 위해서는 각부재의 하중과 변형의 관계를 보다 실제적으로 규정하는 것이 중요하다. 비선형 해석에 의한 구조물의 비탄성 거동 파악을 위해서 단순화된 부재의 하중-변형 관계 모델을 적용한다면 구조물의 실제적이고 정확한 거동을 예측하기에는 어려움이 있다. 본 논문에서는 하중-변형 관계를 Backbone 이력모델을 적용하여 단순화된 하중-변형 관계를 적용한 모델과 시스템연성능력 및 층연성능력을 비교, 평가하였다. 해석결과로 이선형 이력모델의 경우에 시스템 및 층 연성도의 과소평가는 실제구조물의 소성거동을 과소평가하는 곁과를 초래하며 보다 정착한 비선형해석을 위하여 부재의 이력모델은 Backbone 이력모델을 사용하는 것이 바람직하다.

• ETRI Journal
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• 제45권2호
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• pp.240-253
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• 2023

Spatial information is geometrical information combined with the properties of an object. In city areas where unmanned aerial vehicle (UAV) usage demand is high, it is necessary to determine the appropriate driving altitude considering the height of buildings for safe driving. In this study, we propose a data-provision method that generates the driving altitude of UAVs with a pseudo-3D building model. The pseudo-3D building model is developed using high-precision spatial information provided by the National Geographic Information Institute. The proposed method generates the driving altitude of the UAV in terms of tile information, including the UAV's starting and arrival points and a straight line between the two points, and provides the data to users. To evaluate the efficacy of the proposed method, UAV driving altitude information was generated using data of 763 551 pseudo-3D buildings in Seoul. Subsequently, the generated driving altitude data of the UAV was verified in AirSim. In addition, the execution time of the proposed method and the calculated driving altitude were analyzed.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2021년도 봄 학술논문 발표대회
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• pp.151-152
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• 2021

The sale price of apartment buildings is a key factor in the success or failure of apartment projects, and the factors that affect the sale price of apartments vary widely, including location, environmental factors, and economic conditions. Existing methods of predicting the sale price do not reflect the nonlinear characteristics of apartment prices, which are determined by the complex impact factors of reality, because statistical analysis is conducted under the assumption of a linear model. To improve these problems, a new analysis technique is needed to predict apartment sales prices by complex nonlinear influencing factors. Using machine learning techniques that have recently attracted attention in the field of engineering, it is possible to predict the sale price reflecting the complexity of various factors. Therefore, this study aims to conduct a basic study for the development of a machine learning-based prediction model for apartment sale prices.

• 한국멀티미디어학회논문지
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• 제12권9호
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• pp.1217-1232
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• 2009

본 논문에서는 실외에서 촬영된 비교정 영상으로부터 3차원 건물 구조를 복원하는 반자동화 방법론을 제안한다. 사용자는 관심있는 건물을 임의의 위치에서 촬영한다. 본 논문에서 제안하는 시스템은 먼저, 입력영상에 대하여 SIFT 알고리즘을 이용하여 특징점과 대응점을 추출한다. 두 번째로, 각 영상에 존재하는 선과 소실점을 추정하고, 추정된 소실점으로 추출한 선들을 그룹화 한다. 다음으로, 각 영상 간의 관계를 대응점의 개수로 정의한 인접 그래프를 이용하여 입력 영상에 대한 순서를 정의하여, 각 영상을 촬영한 카메라의 위치 정보를 보정한다. 최종적으로 추정한 카메라의 정보와 각 영상에서 그룹화된 선을 이용하여 건물의 대략적인 3차원 구조를 복원한다. 하프 에지(half-edge) 자료 구조와 오일러 연산자(Euler operator)를 이용한 상세 모델링을 수행함으로써 완성된 건물 구조를 복원할 수 있다. 본 논문에서는 자동으로 추출된 기하학적 정보를 이용하여 최소한의 사용자 입력으로 건물을 복원 할 수 있도록 하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권1호
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• pp.74-89
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• 2021

For higher-level requirements of urban planning and management and the recent development of "digital earth" and "digital city", it is urgent to establish protocols for the construction of three-dimensional digital city models. However, some problems still exist in the digital technology of the three-dimensional city model, such as insufficient precision of the three-dimensional model, not optimizing the scene and not considering the constraints of building codes. In view of those points, a method to interactively simulate a virtual city scene based on building codes is proposed in this paper. Firstly, some constraint functions are set up to restrict the models to adhere to the building codes, and an improved directional bounding box technique is utilized to solve the problem that geometric objects may intersect in a virtual city scene. The three-dimensional model invocation strategy is designed to convert two-dimensional layouts to a three-dimensional urban scene. A Leap Motion hardware device is used to interactively place the 3D models in a virtual scene. Finally, the design and construction of the three-dimensional scene are completed by using Unity3D. The experiment shows that this method can simulate urban virtual scenes that strictly adhere to building codes in a virtual scene of the city environment, but also provide information and decision-making functions for urban planning and management.

• 국제학술발표논문집
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• The 8th International Conference on Construction Engineering and Project Management
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• pp.425-432
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• 2020

In order to improve the sustainability and smart construction, it is discussed arguably that developing and applying consistent "standard model" to plan business, design, construct and operate a building is considered to be one of the effective and efficient approach. The scope of this article is to examine, from the international developer's perspective, the "standard model" approach of a hotel brand to building projects in the UK, and also to explore potential role of project team to mitigate any local difference at the project level. These projects are developed by the same developer adopting the same business plan, design and operation to each project. In order to clarify the actual and likely difference in construction results, reference is also made to those building projects located in other geographical markets including Japan, Germany and USA, and focus is given on the analysis of its programme and cost. Principle findings are that there exists geographical difference especially in environmental and planning system, and that major local difference is found at least in the programme at the design stage. In contrast, the difference in the building cost itself may not be necessarily considered major if currency exchange rate being taken into account appropriately. It is also observed that there were cases where any difference in the programme was mitigated by taking different approach to procuring and defining roles of management and professional team at the project level. In conclusion, from the international developer's perspective, the geographical difference of the "construction system" surrounding building projects can typically lead to major prolongation of programme, however, these different construction results could be mitigated at least to a certain extent by introducing appropriate changes to the role of project team.

• Wind and Structures
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• 제34권6호
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• pp.483-497
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• 2022

Three-dimensional (3D) computational fluid dynamics (CFD) analysis of flow around a hipped-roof building representative of UK inland conditions are conducted. Unsteady simulations are performed using three variations of the k-ϵ RANS turbulence model namely, the Standard, Realizable, and RNG models, and their predictive capability is measured against current European building standards. External pressure coefficients and wind loading are found through the BS 6399-2:1997 standard (obsolete) and the current European standards (BS EN 1991-1-4:2005 and A1:20101). The current European standard provides a more conservative wind loading estimate compared to its predecessor and the k-ϵ RNG model falls within 15% of the value predicted by the current standard. Surface shear stream-traces and Q-criterion were used to analyze the flow physics for each model. The RNG model predicts immediate flow separation leading to the creation of vortical structures on the hipped-roof along with a larger separation region. It is observed that the Realizable model predicts the side vortex to be a result of both the horseshoe vortex and the flow deflected off it. These model-specific aerodynamic features present the most disparity between building standards at leeward roof locations. Finally, pedestrian comfort and safety criteria are studied where the k-ϵ Standard model predicts the most ideal pedestrian conditions and the Realizable model yields the most conservative levels.

• 한국전자통신학회논문지
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• 제19권1호
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• pp.119-126
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• 2024

건물 정보 모델(BIM: Building Information Model)은 관련 기업의 개별화된 프로젝트와 학습 데이터양 부족으로 인해 인공지능(AI: Artificial Intelligence) 기반 BIM 애플리케이션 개발이 쉽지 않다. 본 연구에서는 데이터가 제한적인 상황에서 BIM의 강구조물 부재 중량비를 예측하기 위해 사전 학습이 된 대형 언어 모델을 기반으로 신경망을 학습하는 방법을 제시하고 실험하였다. 제안된 모델은 대형 언어 모델을 활용하여 BIM에 내재하는 데이터 부족 문제를 극복할 수 있어 데이터의 양이 부족한 상황에서도 성공적인 학습이 가능하며 대형 언어 모델과 연계된 신경망을 활용하여 자연어와 더불어 숫자 데이터까지 처리할 수 있다. 실험 결과는 제안된 대형 언어 모델 기반 신경망이 기존 소형 언어 모델 기반보다 높은 정확도를 보였다. 이를 통해, 대형 언어 모델이 BIM에 효과적으로 적용될 수 있음이 확인되었으며, 향후 건물 사고 예방 및 건설 비용의 효율적인 관리가 기대된다.

• 대한공간정보학회지
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• 제21권4호
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• pp.151-159
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• 2013

건물은 3차원 도시 모델링, 지형분석, 생활정보, 항법시스템 및 LBS(Location Based Service) 등 응용목적에 따라 정보의 최신성이 특히 중요시 되는 객체로써, 해당정보의 빠른 수집과 갱신에 대한 요구가 증가하고 있다. 본 연구에서는 HSI 컬러모델을 활용하여 항공정사영상 및 항공 LiDAR 자료로부터 도심지 건물에 대한 3차원 공간정보를 추출하기 위한 시스템 개발을 목적으로 하고 있다. 특히 HSI 컬러모델, 재귀적 역행 알고리즘 및 미로찾기 알고리즘을 활용하여 영상으로부터 특정 건물의 외곽선을 추출하고 건물폴리곤을 생성하는 영상정보처리 알고리즘을 제시하였고 영상분할에 있어 HSI 컬러모델의 효용성을 제시하였다.