• The Transactions of the Korean Institute of Electrical Engineers
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• v.40 no.4
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• pp.394-401
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• 1991

B-spline function is generally used for an image interpolation because of its smoothness and continuity, but it accompanies a large amount of blurring effect. In this paper, a space-variant B-spline interpolation function is proposed through deblurring process followed by de-aliasing process. The proposed function has parametric expression and performs smoothing and edge-enhancement adaptively in the interpolation process according to local property of the image. Application of this function to image enlargement, rotation, and curve representation producted good results. Even in the presence of noise, noise smoothing effect as well as edge-enhancement were observed in the image interpolation process.

• Journal of the Korean Institute of Educational Facilities
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• v.21 no.6
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• pp.43-54
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• 2014

This study focuses on analyzing children's behavior from an integrated systemic perspective of the space and time and presenting a criterion and a guide of children-centered environmental color for intensifying their behavior affordance while considering functions of the space and color. Research was conducted as follows. Based on the spatial function and children's behavior, it figured out a prerequisite of educational environmental colors for behavior affordance. It extracted colors by dividing children's behavior affordance into 8elements considering a psychology of expectation and color function according to spatial and behavior affordance intensification elements. So 97school colors were selected for children's behavior affordance from abstracted colors by each element. Furthermore, it planned to suggest an environmental color guide for establishing elementary school's positive educational circumstances through enhancing behavior affordance, providing a potential to change a color environment at the educational space.

• Journal of Digital Convergence
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• v.18 no.7
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• pp.57-71
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• 2020

According to industrialization and urbanization, the complex cultural space have been developed for residents within a region. Focusing on these changes, we wanted to find out what functions the complex cultural space have and how these functions affect the customer's perceived value and revisit intention of customers. This study have a purpose to help the local government and the corporation who manage the complex cultural space to build operation strategy by utilizing the function of the complex cultural space. To this end, a questionnaire was compiled based on a literature study related to a complex cultural space, and data was collected. It was analyzed using SPSS Win Ver. 22.0 and PROCESS macro v3.4. As a result, it was found that the function of the complex cultural space had some significant influence on customer's perceived value and intention to revisit. and showed how each function had a an influence on customer's perceived value and on re-visiting intention. This study has significance in that it can contribute to the local government and the corporations' operation strategy and management direction of the complex cultural space. And it will contribute to the study of the complex cultural space's macro role as e tool of regional revitalization.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.11 no.3
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• pp.149-152
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• 2011

In this paper, we obtain common fixed point theorem for common property(E.A.) and weakly compatible functions in intuitionistic fuzzy metric space.

• Journal of applied mathematics & informatics
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• v.10 no.1_2
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• pp.309-323
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• 2002

This paper studies the parameter estimation problem for a steady state flow in an inhomogeneous medium. Our approximation scheme could be used when the diffusion coefficient is singular. The function space parameter estimation convergence(FSPEC) is considered and numerical simulations are performed.

• Journal of the Chungcheong Mathematical Society
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• v.24 no.3
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• pp.409-415
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• 2011

We introduce the notion of weakly quasi generalized continuous functions, and investigate properties for the continuity.

• Journal of Electrical Engineering and Technology
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• v.13 no.6
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• pp.2511-2520
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• 2018

In this study, Multi-Radial Basis Function Support Vector Machine (Multi-RBF SVM) classifier is introduced based on a composite kernel function. In the proposed multi-RBF support vector machine classifier, the input space is divided into several local subsets considered for extremely nonlinear classification tasks. Each local subset is expressed as nonlinear classification subspace and mapped into feature space by using kernel function. The composite kernel function employs the dual RBF structure. By capturing the nonlinear distribution knowledge of local subsets, the training data is mapped into higher feature space, then Multi-SVM classifier is realized by using the composite kernel function through optimization procedure similar to conventional SVM classifier. The original training data set is partitioned by using some unsupervised learning methods such as clustering methods. In this study, three types of clustering method are considered such as Affinity propagation (AP), Hard C-Mean (HCM) and Iterative Self-Organizing Data Analysis Technique Algorithm (ISODATA). Experimental results on benchmark machine learning datasets show that the proposed method improves the classification performance efficiently.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.163.1-163
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• 2001

In this paper, we use time-frequency localization analysis method to analize the target function and the area of the target space. When we analize the function with the time and frequency axis simultaneously, the characteristic of the function is shown more precisely and the area is covered by a certain block. After we analize the target function in the time-frequency space, we can decide the activation functions and compose the hidden layer of the RBFN by choosing the radial basis function which can represent the characteristic of the target function, RBFN made by this method, designs the good structure proper to the target problem because we can decide the number of hidden node first.

• Honam Mathematical Journal
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• v.30 no.2
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• pp.335-341
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• 2008

In this paper, we use the convexity of distance function between geodesics in a singular Hadamard space to generalize Hadamard-Cartan theorem for 2-dimensional metric spaces. We also determine a neighborhood of a closed geodesic where no other closed geodesic exists in a complete space of nonpositive curvature.

• Bulletin of the Korean Mathematical Society
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• v.52 no.4
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• pp.1339-1351
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• 2015

In this paper, using pseudo-spherical Frenet frame of pseudo-spherical curves in hyperbolic space, we define the notion of the structure functions on the non-developable ruled surfaces with timelike ruling. Then we obtain the properties of the structure functions and a complete classification of the non-developable ruled surfaces with timelike ruling in Minkowski 3-space by the theories of the structure functions.