• Korean Institute of Interior Design Journal
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• v.26 no.1
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• pp.63-74
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• 2017

This study is for the characteristic of expression of exhibition presentation in 'The Korean peninsula' which is the Golden Lion Winner at the Venice Biennale in 2014. The Korean peninsula provides two opposite political and economic systems and adaptations of modernism through various multi media images. The curator, Minsuk Cho, presented cinema montage image of Collision for analyzing dynamic exhibition organization and provides the foundation of his theory from Bergson's image and duration to Deleuze's movement-image and time-image which is mentioned from Deleuze's book "cinema 1" and "cinema 2". Furthermore, the Korean peninsula has showed perception-image and affection-image from Eisenstein & Vertov's cinemathology and systemized exhibition presentation. The montage of Collision has maximized the movement from the variety and complexity in a collision and it made difference between information images which are space, time, emotion, intelligence, the tumult between subjectivity and objectivity, fragments from reorganizing itself, and distribution and art images. The limit of montage of Collision's dialectic is not only visual but also space from organic organization but the Korean peninsula overcomes its limit and shows leap of tactile perception and time-reflection from the montage of Collision's dialectic. Therefore, the exhibition of the Korean peninsula presents the conviction of adaptations of modernism.

• Journal of Information Processing Systems
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• v.14 no.3
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• pp.666-679
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• 2018

The discrete wavelet transform (DWT) has good multi-resolution decomposition characteristic and its low frequency component contains the basic information of an image. Based on this, a fragile watermarking using the local binary pattern (LBP) and DWT is proposed for image authentication. In this method, the LBP pattern of low frequency wavelet coefficients is adopted as a feature watermark, and it is inserted into the least significant bit (LSB) of the maximum pixel value in each block of host image. To guarantee the safety of the proposed algorithm, the logistic map is applied to encrypt the watermark. In addition, the locations of the maximum pixel values are stored in advance, which will be used to extract watermark on the receiving side. Due to the use of DWT, the watermarked image generated by the proposed scheme has high visual quality. Compared with other state-of-the-art watermarking methods, experimental results manifest that the proposed algorithm not only has lower watermark payloads, but also achieves good performance in tamper identification and localization for various attacks.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.10
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• pp.5112-5128
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• 2016

Tracking human body is an important problem in computer vision field. Tracking failures caused by occlusion can lead to wrong rectification of the target position. In this paper, a robust human tracking algorithm is proposed to address the problem of occlusion, rotation and improve the tracking accuracy. It is based on Tracking-Learning-Detection framework. The key auxiliary information is used in the framework which motivated by the fact that a tracking target is usually embedded in the context that provides useful information. First, face localization method is utilized to find key face location information. Second, the relative position relationship is established between the auxiliary information and the target location. With the relevant model, the key face information will get the current target position when a target has disappeared. Thus, the target can be stably tracked even when it is partially or fully occluded. Experiments are conducted in various challenging videos. In conjunction with online update, the results demonstrate that the proposed method outperforms the traditional TLD algorithm, and it has a relatively better tracking performance than other state-of-the-art methods.

• Journal of Fashion Business
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• v.19 no.2
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• pp.182-199
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• 2015

This research aims to design a new style jacket by developing patterns with dart manipulation, to achieve a tailored jacket which has been familiar to us, but with a more creative design. Tailored jackets has been widely worn both by women and men, and used to create various fashion styles. Generally the classic design with a basic lapel and collar is worn the most, and this shows demonstrates an importance of its design. Giacomo Manzu's work of relief art inspired for a creative design of tailored jackets. As a result of the analysis on the visual properties of the relief sculptures, it was found that an omissions of line for cubic effect and dramatized expression give an illusion effect. Based on the illusion effect shown in the case of a relief design, it was patterned and designed with dart manipulation. Through dart manipulation, the shape of a lapel was designed to meet the rear collar, which corresponds to a background plane, by making it like a sculpture at the front background pattern. Then it was found through dart manipulation could be extensively applied for various designs, as well as used to generate massing. Hopefully this creative pattern and design development would be helpful not only in diversification of consumer's needs, but also in the educational field for pattern and development of the fashion design industry.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.4
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• pp.2094-2112
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• 2019

Focusing on the issue that the conventional Kernel Correlation Filter (KCF) algorithm has poor performance in handling scale change and obscured objects, this paper proposes an anti-occlusion and scale adaptive tracking algorithm in the basis of KCF. The average Peak-to Correlation Energy and the peak value of correlation filtering response are used as the confidence indexes to determine whether the target is obscured. In the case of non-occlusion, we modify the searching scheme of the KCF. Instead of searching for a target with a fixed sample size, we search for the target area with multiple scales and then resize it into the sample size to compare with the learnt model. The scale factor with the maximum filter response is the best target scaling and is updated as the optimal scale for the following tracking. Once occlusion is detected, the model updating and scale updating are stopped. Experiments have been conducted on the OTB benchmark video sequences for compassion with other state-of-the-art tracking methods. The results demonstrate the proposed method can effectively improve the tracking success rate and the accuracy in the cases of scale change and occlusion, and meanwhile ensure a real-time performance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.4
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• pp.2129-2147
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• 2019

This paper introduces an adaptive face recognition method based on a Novel Incremental Kernel Nonparametric Discriminant Analysis (IKNDA) that is able to learn through time. More precisely, the IKNDA has the advantage of incrementally reducing data dimension, in a discriminative manner, as new samples are added asynchronously. Thus, it handles dynamic and large data in a better way. In order to perform face recognition effectively, we combine the Gabor features and the ordinal measures to extract the facial features that are coded across local parts, as visual primitives. The variegated ordinal measures are extraught from Gabor filtering responses. Then, the histogram of these primitives, across a variety of facial zones, is intermingled to procure a feature vector. This latter's dimension is slimmed down using PCA. Finally, the latter is treated as a facial vector input for the advanced IKNDA. A comparative evaluation of the IKNDA is performed for face recognition, besides, for other classification endeavors, in a decontextualized evaluation schemes. In such a scheme, we compare the IKNDA model to some relevant state-of-the-art incremental and batch discriminant models. Experimental results show that the IKNDA outperforms these discriminant models and is better tool to improve face recognition performance.

• Advances in aircraft and spacecraft science
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• v.6 no.1
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• pp.51-67
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• 2019

AMOSC (Automatic Margin Of Safety Calculation) is a SW tool which has been developed to calculate the failure index of layered composite structures by referring to the cutting edge state-of-the-art LaRC05 criterion. The stress field is calculated by a finite element code. AMOSC allows the user to calculate the failure index also by referring to the classical Hoffman criterion (which is commonly applied in the aerospace industry). When developing the code, particular care was devoted to the computational efficiency of the code and to the automatic reporting capability. The tool implemented is an API which has been embedded into Femap Siemens SW custom tools. Then, a user friendly graphical interface has been associated to the API. A number of study-cases have been solved to validate the code and they are illustrated through this work. Moreover, for the same structure, the differences in results produced by passing from Hoffman to LaRC05 criterion have been identified and discussed. A number of additional comparisons have thus been produced between the results obtained by applying the above two criteria. Possible future developments could explore the sensitivity of the failure indexes to a more accurate stress field inputs (e.g. by employing finite elements formulated on the basis of higher order/hierarchical kinematic theories).

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.547-548
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• 2014

ICT 기술발전으로 웨어러블 디바이스(wearable device)와 증강현실(augmented reality: AR) 및 가상현실(virtual reality: VR)등은 차세대 게임 산업에 새로운 재미와 가치를 부여할 기술로 주목받고 있다. 특히 가상현실 기술은 몰입(immersion)이라는 경험적 속성을 가지고 있어, 컴퓨터 시뮬레이션으로 창출된 3차원 가상공간으로 사용자의 오감 경험을 확장하고 공유함으로서 공간적, 물리적 제약에 의해 현실 세계에서는 직접 경험하지 못하는 상황을 간접 체험할 수 있도록 한다. 따라서 본 논문에서는 가상증강현실을 이용하여 유저와 상호작용하고, 사용자에게 현실적인 공포감을 줄 수 있도록 하는 오감 체험 공포 시뮬레이션을 개발하였다. 이 체험 시뮬레이션 게임은 Eon Studio 개발툴과 JavaScript를 이용하여 구현되었으며, Eon I-CUBE안에서 1인칭 주인공 시점으로 게임을 진행하도록 하였다.

• Journal of Korea Game Society
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• v.21 no.2
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• pp.43-54
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• 2021

The goal of this research is contemplation on whether postmodern design concepts such as parody, simulation, appropriation, pastiche apply to the character design in games, within bounds of postmodernism. In this philosophy, designs display a mixture of advanced culture and mass culture, emphasize philosophical contingency, and appear to be a random collage of ideas. it was perceived that the visual art in game character design is also a projection of the postmodernist philosophy. Upon analyzing this perception, character designs categorized based on the applicability of postmodern designs

• Journal of Fashion Business
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• v.26 no.4
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• pp.123-135
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• 2022

In Korea, business guidelines for nurturing professional manpower in the cosmetic industry are insufficient despite the implementation of legislation and certification system for customized cosmetics. Therefore, in this study, guideline design for customized cosmetics businesses was studied. As a research method, literature on domestic and foreign market conditions and cases of each business type of the customized cosmetics market were analyzed. In addition, a focus group interview was conducted on the guidelines by creating a group of professionals and employees in the customized cosmetics industry. As a result, it was found that the guidelines for individual business owners of customized cosmetics were institutionalized into 4 types, and essential information needed for introduction of the customized cosmetics into the market and information needed for general practice should be provided. It is expected that this study will be developed as a guideline that can guide the growth of the cosmetic industry and the vitalization of the customized cosmetics business in the future.