• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.4
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• pp.538-548
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• 2000

A study analyzes the eclectic trend shown in Andy Warhol look to explain the pluralistic aspect which is expressed in the late 20th century's fashion. Eclecticism is a trial to dismantle the barriers between pure art and popular art, high culture and low culture. This pursues harmonious accommodation and coexistence of all areas without being confined in the conventional lofty taste or high art. This thesis studies the characteristic aspects of the eclectic trend by classifying this trend into sell culture, mass media and fashion around the Andy Warhol look. The sexual eclectic trend in Warhol look is bisexual one shown in clubland and the world of modeling and supplies fashion with abundant expression and ambiguity. Warhol established cultural eclecticism by compounding high cultural factors and low cultural factors. broke up the boundary between street fashion and high fashion and escaped from the fixed idea on materials and design. Also he generalized and democratized specialty or nobility conventional paintings had possessed through introducing repetition and mediocrity and fully utilized every kind of mass media, Hollywood movie stars and daily necessaries in producing works. Andy Warhol who asserted‘Business Art’that was the mixed form of artistry and commercialism had creative and futuristic taste and proposed the direction to develop current fashion and art where the concept of economy is importantly brought into relief.

• IE interfaces
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• v.25 no.1
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• pp.87-95
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• 2012

Very special and tentative considerations including emotional aspects are required to apply any new mechanism and methodologies for manufacturing fields due to several reasons. This study reviews the characteristics of manufacturing collaborations through specific cases applied digital engineering to enhance the collaboration performance in manufacturing domains. Two cases of collaboration related with automotive manufacturing process are analyzed to extract meaningful insights for better collaboration model suggestions. The first case deals the robot simulation to find out advance errors in jig and fixture design during the various welding process of body-in-whites. The effective communication protocol to share their idea and agreed schedules are essential for this collaboration. More severe requirement of collaboration between R&D and manufacturing departments are studied in the second case for e-coating process. The invisible barriers among different departments are lowered by the process application of Computer Aided Engineering which can make sure their own interesting effectively. Those technical and managerial suggestions can be used when the information system and standard process are sought to implement and update not only when innovation projects are executed.

• Journal of the Korean Society of Costume
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• v.58 no.3
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• pp.34-48
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• 2008

Modern fashion market is being developed by emotional values rather than rational idea of customers. Experiential marketing is an effective marketing strategy for fashion marketplace because customers tend to consider fashion shopping as an enjoyable experience. Among the fashion markets, the fashion stores for middle.old aged women that have various points of contacts could be appropriate place where emotional and relational marketing strategies would be applied to. The effects of the procedure "emotional and relational experience$\rightarrow$commitments$\rightarrow$long-term relationship orientation" that fashion customers are experiencing, by forming a path model, two types of experiential effects from emotion and relation were examined. It was found that fashion emotional and relational experiences were important factors because these factors affected a long-term relationship orientation. The findings of the study provide marketing strategy that enables to promote a consistent relationship between fashion stores and customers. Furthermore, this study will contribute to the criteria for segmentation of middle and old aged women's fashion market who have own desire for fashion emotional and relational experience.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.635-639
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• 2004

In this paper, we present a novel approach for the structure of Fuzzy Neural Network(FNN) based on wavelet function and apply this network structure to the modeling of chaotic nonlinear systems. Generally, the wavelet fuzzy model(WFM) has the advantage of the wavelet transform by constituting the fuzzy basis function(FBF) and the conclusion part to equalize the linear combination of FBF with the linear combination of wavelet functions. However, it is very difficult to identify the fuzzy rules and to tune the membership functions of the fuzzy reasoning mechanism. Neural networks, on the other hand, utilize their learning capability for automatic identification and tuning. Therefore, we design a wavelet based FNN structure(WFNN) that merges these advantages of neural network, fuzzy model and wavelet transform. The basic idea of our wavelet based FNN is to realize the process of fuzzy reasoning of wavelet fuzzy system by the structure of a neural network and to make the parameters of fuzzy reasoning be expressed by the connection weights of a neural network. And our network can automatically identify the fuzzy rules by modifying the connection weights of the networks via the gradient descent scheme. To verify the efficiency of our network structure, we evaluate the modeling performance for chaotic nonlinear systems and compare it with those of the FNN and the WFM.

• Journal of Institute of Control, Robotics and Systems
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• v.17 no.7
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• pp.659-667
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• 2011

The study of bipedal robot is towards similar shape and function with human. In this paper, we propose a human-like walking pattern compatible to the flexible foot with toe and heel structure. The new walking pattern for a bipedal robot consists of ZMP, center of mass (CoM), and ankle trajectory and is drawn by considering human kinesiology. First, the ZMP trajectory moves forward without stopping at a point even in the single support phase. The corresponding CoM trajectory to the ZMP one is derived by solving differential equations. As well, a CoM trajectory for the vertical axis is added by following the idea of human motion. The ankle trajectory closely mimics the rotational motion of human ankles during taking off and landing on the ground. The advantages of the proposed walking pattern are demonstrated by showing improved stability, decreased ankle torque, and the longer step length capability. Specifically, it is interesting to know that the vertical CoM motion is able to compensate for the initial transient response.

• Journal of The Korean Association of Information Education
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• v.15 no.3
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• pp.517-524
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• 2011

This paper presents a fast blind deconvolution method that produces a deblurring result from a single image in only a few seconds. The high speed of our method is enabled by considering the Discrete Fourier Transform (DFT), and its relation to filtering and convolution, and fast computation of Moore-Penrose inverse matrix. How can we predict the behavior of an arbitrary filter, or even more to the point design a filter to achieve certain specifications. The idea is to study the frequency response of the filter. This concept leads to an useful convolution formula. A Matlab implementation of our method usually takes less than one minute to deblur an image of moderate size, while the deblurring quality is comparable.

• Journal of the Korean Institute of Telematics and Electronics T
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• v.36T no.3
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• pp.79-84
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• 1999

The existing EMTP(Electromagnetic Transients Program) is writted by FORTRAN-77, has a closed architecture and uses a large number of code lines to satisfy requirements ranging from low level data manipulation to the actual solution mathematics which eventually become diluted and almost impossible to visualize. Thus has a difficulty in the development and maintenenace of its program module. This paper proposes a new design idea suitable (or a re-development of EMTP using the MATLAB and VISUAL-C++, which presents the development of the new EMTP package is operated in the window environment. The package has the GUI(Graphic User Interface) ability, and the MATLAB computation engine for an analysis of a transient state in an electric circuit.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.4
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• pp.83-88
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• 2013

Many studies adopting brain functions to the engineering systems have been made for recent years as the brain Science has developed. If we investigate the parts which take part in memorizing and emotional process, we can know that Hippocampus of memorizing center and Amygdala of Emotional center closely cooperate each other. Actually Knowledge effects on Emotion and Emotion effects on Knowledge. During the human decision making, emotional factor has much important effects on Decision making process. For implementing more delicate intelligent system, the knowledge base coupled to emotional factor should be designed. Accordingly in this paper starting from the idea of cooperating system between Hippocampus and Amygdala,, we design Knowledge Emotion Binding System and propose Emotional changing mechanism by Memory retrieval and knowledge reasoning process.

• Architectural research
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• v.12 no.2
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• pp.63-72
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• 2010

Affordable housing has been a critical issue in the face of global economy and notably formulated a crucial agenda of the housing policy. While each local government seriously considers many approaches to providing affordable housing, a unique and innovative way to address it at a community level is fully uncovered, particularly nonmetropolitan areas where resources for economic development are limited and vulnerable. The purpose of this study is to examine the mechanism of the provision of affordable housing for the elderly in nonmetropolitan areas. In doing so, this research investigates the housing development and delineates it as one viable solution that stimulates local communities. The affordable housing development, as a viable option to spur local development and vibrate community, is closely reviewed, and the factors to make it feasible are drawn. The findings indicate that it is widely recognized that keeping the elderly in the community positively contributes to maintaining a sustainable community. In fact, the idea of affordable housing development for middle-class elderly people is brought by one inspired long-time resident, and it is expedited by the consensus and cohesion of local community. The development stimulates local businesses in relation to housing, and all homes sold by the elderly moving in the new housing are available for young families. Also, the presence of affordable housing for the elderly who are able to independently live is extended to a picture of aging-in-place at a broader level.

• Journal of Information Processing Systems
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• v.13 no.3
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• pp.435-447
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• 2017

Associative and bidirectional associative memories are examples of associative structures studied intensively in the literature. The underlying idea is to realize associative mapping so that the recall processes (one-directional and bidirectional ones) are realized with minimal recall errors. Associative and fuzzy associative memories have been studied in numerous areas yielding efficient applications for image recall and enhancements and fuzzy controllers, which can be regarded as one-directional associative memories. In this study, we revisit and augment the concept of associative memories by offering some new design insights where the corresponding mappings are realized on the basis of a related collection of landmarks (prototypes) over which an associative mapping becomes spanned. In light of the bidirectional character of mappings, we have developed an augmentation of the existing fuzzy clustering (fuzzy c-means, FCM) in the form of a so-called collaborative fuzzy clustering. Here, an interaction in the formation of prototypes is optimized so that the bidirectional recall errors can be minimized. Furthermore, we generalized the mapping into its granular version in which numeric prototypes that are formed through the clustering process are made granular so that the quality of the recall can be quantified. We propose several scenarios in which the allocation of information granularity is aimed at the optimization of the characteristics of recalled results (information granules) that are quantified in terms of coverage and specificity. We also introduce various architectural augmentations of the associative structures.