• The Journal of Korean Institute of Communications and Information Sciences
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• v.38C no.10
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• pp.920-927
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• 2013

Chroma key technique which composes images by separating an object from its background in specific color has restrictions on color and space. Especially, unlike general chroma key technique, image composition for stereo 3D display requires natural image composition method in 3D space. The thesis attempted to compose images in 3D space using depth keying method which uses high resolution depth information. High resolution depth map was obtained through camera calibration between the DSLR and Kinect sensor. 3D mesh model was created by the high resolution depth information and mapped with RGB color value. Object was converted into point cloud type in 3D space after separating it from its background according to depth information. The image in which 3D virtual background and object are composed obtained and played stereo 3D images using a virtual camera.

• Tunnel and Underground Space
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• v.27 no.3
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• pp.132-145
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• 2017

Shock loss was not applied for the tunnel ventilation of road tunnel in the past. However, pressure losses due to the shock loss can be significant in network double-deck road tunnel in which combining and separating road structures exist. For the optimum ventilation design of network double-deck road tunnel, this study conducted 3D CFD numerical analysis for the shock loss at the combining and separating flows. The CFD model was made with the real-scale model that was the standard section of double-deck road tunnel. The shock loss coefficient of various combining and separating angles and road width was obtained and compared to the existing design values. As a result of the comparison, the shock loss coefficient of the $30^{\circ}$ separating flow model was higher and that of the two-lane combining flow model was lower. Since the combining and separating angles and road width can be important for the design of shock loss estimation, it is considered that this study can provide the accurate design factors for the calculation of ventilation system capacity. In addition, this study conducted 3D CFD analysis in order to calculate the shock loss coefficient of both combining and separating flows at flared intersection, and the result was compared with the design values of ASHRAE. The model that was not widened at the intersection showed three times higher at the most, and the other model that was widened at the intersection resulted two times higher shock loss coefficients.

• Journal of Astronomy and Space Sciences
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• v.32 no.1
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• pp.1-11
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• 2015

Earth's magnetopause separating the fast and often turbulent magnetosheath and the relatively stagnant magnetosphere provides various forms of free energy that generate low-frequency surface waves. The source mechanism of this energy includes current-driven kinetic physical processes such as magnetic reconnection on the dayside magnetopause and flux transfer events drifting along the magnetopause, and velocity shear-driven (Kelvin-Helmholtz instability) or density/pressure gradient-driven (Rayleigh-Taylor instability) magnetohydro-dynamics (MHD) instabilities. The solar wind external perturbations (impulsive transient pressure pulses or quasi-periodic dynamic pressure variations) act as seed fluctuations for the magnetopause waves and trigger ULF pulsations inside the magnetosphere via global modes or mode conversion at the magnetopause. The magnetopause waves thus play an important role in the solar wind-magnetosphere coupling, which is the key to space weather. This paper presents recent findings regarding the generation of surface waves (e.g., Kelvin-Helmholtz waves) at the Earth's magnetopause and analytic and observational studies accountable for the linking of the magnetopause waves and inner magnetospheric ULF pulsations, and the impacts of magnetopause waves on the dynamics of the magnetopause and on the inner magnetosphere.

• Journal of The Korea Institute of Healthcare Architecture
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• v.21 no.3
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• pp.47-55
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• 2015

Purpose: While medical standard is rapidly improved, welfare of users and employees in hospitals is not treated correspondingly. Intercommunication of hospital users is thought to be very important for their welfare, and provision of conversation spaces within hospital environment needs to be expanded by architectural design. Space organization methods for the design of conversation space is to be embellished. Methods: Literature and hospital designs are analysed in order to develop the basis of argumentation for the hospital conversation space. 15 hospitals are reviewed and designed spaces for the intercommunication of the users are examined, Space organization efforts and design experiments are identified, and 6 organizational methods are proposed such as: 1) reducing territoriality 2) flowing space 3) categorizing and separating spaces 4) height variation 5) contact with outside and 6) Sun-lighted space. Results: 6 organization methods are confirmed in precedent hospital cases, and these proposed methods are applied in a new hospital design project to verify their usefulness. Implications: A hospital design project is presented based on these proposed methods of organization for the conversation space. Outcomes of this study can be applied for the formulation of human intercommunication spaces in other facilities.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2001.12a
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• pp.60-64
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• 2001

In this paper, a new learning methodology for Kernel Methods is suggested that results in a sparse representation of kernel space from the training patterns for classification problems. Among the traditional algorithms of linear discriminant function(perceptron, relaxation, LMS(least mean squared), pseudoinverse), this paper shows that the relaxation procedure can obtain the maximum margin separating hyperplane of linearly separable pattern classification problem as SVM(Support Vector Machine) classifier does. The original relaxation method gives only the necessary condition of SV patterns. We suggest the sufficient condition to identify the SV patterns in the learning epochs. Experiment results show the new methods have the higher or equivalent performance compared to the conventional approach.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.15 no.4
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• pp.267-277
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• 1990

In this paper, a method of separation and recognition of phonemes from a composite Korean character pattern through a state space search strategy which is a problem solving method in artificial intelligence is proposed. To correlate the separating of phonemes with their recognizing, the problem is represented into the state space, on which a search strategy is performed. For the minimization of search area, the structural information based on the composition rules of Korean characters and the positional information of phonemes in the basic forms are used. And the effectiveness of the approach is shown by a computer simulation.

• Fibers and Polymers
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• v.7 no.2
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• pp.191-194
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• 2006

This paper adopts nonlinear vibration method to analyze the fluctuation process of fiber movement. Based on Hamilton Principle, this paper establishes differential equation of fiber axial direction movement. Using variable-separating method, this paper separates time variable from space variable. By using the disperse movement equation of Galerkin method, this paper also discusses stable region of transition curve and points out those influencing factor and variation trend of fiber vibration.

• Bulletin of the Korean Mathematical Society
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• v.26 no.1
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• pp.31-34
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• 1989

In this paper we show that if there is a derivation on a commutative Banach algebra which has a non-nilpotent separating space, then there is a discontinuous derivation on a commutative Banach algebra which has a range in its radical. Also we show that if every prime ideal is closed in a commutative Banach algebra with identity then every derivation on it has a range in its radical.

• Korean Institute of Interior Design Journal
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• v.25 no.3
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• pp.11-20
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• 2016

The aim of this study is to analyze the organization of ithe internal space of Usonian houses that were designed by Frank Lloyd Wright between the 1930s and the 1950s. The Space Syntax Program was used to analyze spatial structure of these Usonian houses. The research range has been done on 9 case studies of Usonian house floor plans, which were designed from the 1930s to the 1950s. The shape of unit floor plans of Usonian house are usually in various L types, - types and transformed types etc.. The research results are as follows : 1) The service space(Kitchen etc.)is located at the center of house and it plays a role in separating the private space(bedroom etc.) and public space(living room etc.). 2) All of the bedrooms of Usonian houses have common characteristic : they are connected by a galley(corridor). 3) The organization of the inside space of most of these houses showed a tendency segregation space. 4) The galley inside space of Usonian house is the most integrated space in the house 5) The living room of the 1930s houses was analyzed as segregation space but it of 1940s and 1950s houses was analyzed as integration space 6) Although bedrooms are connected by galley, which is the highest integrated space of the inside space, this space is analyzed as a segregated space.

• Journal of Internet Computing and Services
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• v.20 no.3
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• pp.33-41
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• 2019

In this paper, we propose a method to learn the redesigned class with background and object for semantic segmentation of indoor scene image. Semantic image segmentation is a technique that divides meaningful parts of an image, such as walls and beds, into pixels. Previous work of semantic image segmentation has proposed methods of learning various object classes of images through neural networks, and it has been pointed out that there is insufficient accuracy compared to long learning time. However, in the problem of separating objects and backgrounds, there is no need to learn various object classes. So we concentrate on separating objects and backgrounds, and propose method to learn after class simplification. The accuracy of the proposed learning method is about 5 ~ 12% higher than the existing methods. In addition, the learning time is reduced by about 14 ~ 60 minutes when the class is configured differently In the same environment, and it shows that it is possible to efficiently learn about the problem of separating the object and the background.