• Korean Association of Arts Management
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• no.58
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• pp.179-204
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• 2021

Not only the consumption trend after the COVID-19 pandemic but also low financial interest rates have stimulated people to invest artworks. With the recent noticeable growth, art investments that mainly conducted by younger generation through online platform can be characterized by a fractional ownership in art market which means several people share one piece of artwork. This study explores 4 fractional ownership platforms in the domestic art market including Art Together, Art & Guide, Tessa, and Pica projects, using a business model canvas that describes nine key elements: Customer Segments, Value Proposition, Channels, Customer Relationships, Revenue Streams, Key Resources, Key Activities, Key Partners and Cost Structure. The four cases have similar business models, but the details of revenue streams are different. The key sources of revenue are the profit and commission of the work. Thus, maximizing the profit margin of artworks is the core of revenue streams, so selecting and purchasing highly profitable artworks are significant. Based on the analysis, there are 3 suggestions to continue fractional ownership platform businesses in art market successfully. First, it is required to have a long-term perspective on art investments, as a way to diverse asset portfolio. Second, business confidence should be increased to maintain customer loyalty. Third, the role of platforms as competent experts is important.

• Journal of Korea Multimedia Society
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• v.13 no.8
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• pp.1142-1153
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• 2010

Conjunctival injection is the initial symptom of various eye diseases such as conjunctivitis, keratitis, or uveitis. The quantification of conjunctival injection may help the diagnosis and follow-up evaluation of various eye diseases. The size of the sclera is an important factor for the quantification of conjunctival injection. However, previous manual segmentation is time-consuming.Automatic segmentation is needed to extract the objective region of interest. This paper proposed a method based on the level set algorithm to segment the sclera from an anterior eye image. The initial model of the level set algorithm is calculated using the Lab color space, k-means algorithm and the geometric information. The level set algorithm was applied to the images in which the valley between the eyeball and skin was enhanced using the hessian analysis. This algorithm was tested with 52 images of the anterior eye segment. Results showed that the proposed method performs better than those with the level set algorithm using an arbitrary circle, or the region growing algorithm with color information. The proposed method for the segmentation of sclera may become an important component for the objective measurement of the conjunctival injection.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.13 no.5
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• pp.77-83
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• 1993

A modified Lanczos method combined with a substructure analysis technique was used for calculating natural frequencies and mode shapes of large structural systems. The method does not require generation and storage of stiffness and mass matrices of the entire structure. It only uses the stiffness and mass matrices of each substucture. No approximating assumptions are required other than the usual assumption of linear elastic system modelled by finite elements. Thus, natural frequencies and mode shapes for the finite element model employed are the same as those with or without the suhstructuring algorithm. To check the efficiency of the proposed method, first ten natural frequencies and the corresponding mode shapes of an open truss helicopter tail-boom structure are calculated by using it.

• Journal of KIISE
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• v.44 no.7
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• pp.692-702
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• 2017

Face detection using the LBP based feature descriptor has issues in that it can not represent spatial information between facial shape and facial components such as eyes, nose and mouth. To address these issues, in previous research, a facial image was divided into a number of square sub-regions. However, since the sub-regions are divided into different numbers and sizes, the division criteria of the sub-region suitable for the database used in the experiment is ambiguous, the dimension of the LBP histogram increases in proportion to the number of sub-regions and as the number of sub-regions increases, the sensitivity to facial orientation rotation increases significantly. In this paper, we present a novel facial region segmentation method that can solve in-plane rotation issues associated with LBP based feature descriptors and the number of dimensions of feature descriptors. As a result, the proposed method showed detection accuracy of 99.0278% from a single facial image rotated in orientation.

• Journal of Korea Water Resources Association
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• v.43 no.11
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• pp.945-956
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• 2010

Practically, the composite roughness coefficient, which is the equivalent roughness coefficient of a cross-section where the wall roughness is not constant along the wetted perimeter, is used to describe the flow conditions in open channels. In this study, it was conducted that the previous formulae was classified according to a weighting factor of the local resistance. The new subsection division method was also developed based on the force-balance concept in each subsection. The accuracy of the proposed method was examined and the applicability and limitation of the 13 existing formulae were analyzed by comparing the calculated with the experimental measured data from Djajadi (2009) and Knight and Macdonald (1979). It was found that Horton's method might underestimate the total conveyance of a composite channel and Lotter's method showed a good agreement between calculated and measured data. However, the proper division method, such as the proposed method based on the Z-method, is required for the application of Lotter's method.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.24 no.4
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• pp.365-373
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• 2011

Damage of reinforced concrete panel subjected to blast load using parallel and domain decomposition is analyzed. The numerical results are sensitive to the mesh size because blast waves are generated during the extremely short term. In order to investigate the effect of mesh size on the blast wave, the analysis results from various wave mesh size using AUTODYN, the explicit finite element analysis program, were compared with existing experimental results. The smaller mesh size was, the higher accuracy was. However, in this case, the analysis was inefficient. Therefore, in order to increase numerical efficiency, the parallel analysis using decomposed method based on Euler and Lagrangian description was performed. Finally, the decomposed method using both the structure domain based on Lagrange description and the blast wave domain based on Euler description was more efficient than the decomposed method using only the Lagrange mesh on structure domain.

• Journal of Korea Multimedia Society
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• v.14 no.5
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• pp.607-613
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• 2011

In this paper, we propose a hand image segmentation method using the dynamic threshold values on input images with various lighting and background attributes. First, a moving hand silhouette is extracted using the camera input difference images, Next, based on the R,G,B histogram analysis of the extracted hand silhouette area, the threshold interval for each R, G, and B is calculated on run-time. Finally, the hand area is segmented using the thresholding and then a morphology operation, a connected component analysis and a flood-fill operation are performed for the noise removal. Experimental results on various input images showed that our hand segmentation method provides high level of accuracy and relatively fast stable results without the need of the fixed threshold values. Proposed methods can be used in the user interface of mixed reality applications.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04a
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• pp.640-642
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• 2002

슈퍼컴퓨터를 대신한 NOW는 고성능 계산작업의 대안으로 대두되고 있다. 일반적인 NOW 환경은 동일 성능의 노드들이기 보다 이질적인 노드들로 구성되어 있다. NOW 환경에서의 성능은 각 노드의 계산능력, 통신시간에 좌우될 수 있고 그밖에 전체 수행시간 관점에서 작업을 분할하는 방법 또한 중요한 요소 중 하나이다. 본 논문에서는 이질적인 성능을 가진 노드들로 구성된 NOW 환경을 고려한 적응적인 브로드캐스팅 방법을 제안하고, 그 밖에 성능 향상에 영향을 미치는 요소들을 성능평가를 통한 분석을 한다. 성능평가는 이질적인 노드들로 구성된 NOW 에서 LAM/MPI를 이용하여 측정하였다.

• Proceedings of the Korea Multimedia Society Conference
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• 2000.11a
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• pp.357-360
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• 2000

현재 컴퓨터 비젼(computer vision) 기술의 응용은 여러 방면에서 이루어지고 있다. 이중 움직임 검출(motion detection)과 추적(tracking)기술을 이용하여 교통 감시 환경에서 필요로 하는 정보를 얻을 수 있는 연구가 활발하다. 특히 입력되어지는 영상으로부터 차량의 추적을 위한 다양한 방법이 제시되고 있다. 본 논문에서는 컴퓨터 비젼 기술을 이용하여 입력영상으로부터 움직이는 차량의 동작을 분할(segmentation)하고, 칼만 필터(Kalman filter)를 이용한 효율적인 추적과 동시에 배경영상의 도로를 일정구간으로 나누어, 그 구간 내에서의 교통 요소 중 하나인 움직이는 차량의 속도를 측정 할 수 있는 방법들 제안한다.

• Proceedings of the KIEE Conference
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• 2000.11b
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• pp.244-246
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• 2000

x,y평면 위를 자유롭게 구동할 수 있는 서피스 모터(평면 모터)의 디텐트력을 3차원 유한요소 해석을 이용하여 해석한다. 고정자와 이동자를 분리하여 모델링을 하고 접하는 면을 주기 경계조건으로 처리하여 실제로 이동하지 않고도 이동을 고려할 수 있도록 하였다. 고정자와 이동자의 계수 행렬을 분리하여 영역 분할법을 적용하여 계산 시간을 단축하였다.