• Journal of the Korea Society of Computer and Information
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• v.14 no.6
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• pp.117-123
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• 2009

In this paper, An algorithm which converts 2D video frames into 3D video frames of parallel looking stereo camea is proposed. The proposed algorithm finds the disparity information between two consecutive video frames and generates 3D video frames from the obtained disparity maps. The disparity information is obtained from the modified iterative convergence algorithm. The method of generating 3D video frames from the disparity information is also proposed. The proposed algorithm uses coherence method which overcomes the video pattern based algorithms.

• Annual Conference of KIPS
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• 2021.05a
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• pp.326-329
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• 2021

데이터베이스에서의 빈발 패턴 탐색은 일정 횟수 이상 같이 등장하는 항목들의 집합을 찾는 문제이다. 본 논문은 다수의 2 차원 배열들이 주어졌을 때, 이들 내부에서 빈번히 같이 등장하는 부분 구역들을 찾는 문제를 다룬다. 하지만 기존 빈발 패턴 탐색 기법들은 배열 내 원소들의 위치 관계까지 고려하지는 않기 때문에 본 문제에 바로 적용하기는 어렵다. 따라서 본 논문은 다수의 2 차원 배열 내에서 빈번히 같이 발생하는 부분 구역들을 효율적으로 찾는 기법을 제안한다. 본 논문의 선행 연구에서는 주어진 배열들을 두 번 스캔하여 빈발 부분 구역 집합을 찾는 기법을 제안하였다. 본 논문에서는 이를 개선하여 배열들을 한 번만 스캔하고도 빈발 부분 구역 집합을 찾는 효율적인 기법을 제안한다. 이를 위해 제안 방법은 지금까지 탐색된 부분 구역들에 대한 정보를 메모리에 효율적으로 유지한다. 실험결과 제안방법은 기존 방법에 비해 수행시간을 약 30% 단축함을 보였다.

• Journal of Electrical Engineering and information Science
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• v.1 no.1
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• pp.108-117
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• 1996

In this paper, we propose a new type of recurrent neural network architecture in which each output unit is connected with itself and fully-connected with other output units and all hidden units. The proposed recurrent network differs from Jordan's and Elman's recurrent networks in view of functions and architectures because it was originally extended from the multilayer feedforward neural network for improving the discrimination and generalization power. We also prove the convergence property of learning algorithm of the proposed recurrent neural network and analyze the performance of the proposed recurrent neural network by performing recognition experiments with the totally unconstrained handwritten numeral database of Concordia University of Canada. Experimental results confirmed that the proposed recurrent neural network improves the discrimination and generalization power in recognizing spatial patterns.

• Journal of the Korean Society for Precision Engineering
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• v.31 no.11
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• pp.981-986
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• 2014

Printed electronics devices are made of several sets of printed patterns. The quality or printability of the printed patterns determines the electrical performance of such devices. Moreover, control of the printability determines the reliability of such devices. Despite its importance, few studies have been reported for the measurement of the printed patterns to evaluate their printability. In this study, a measurement method is proposed for printed patterns, including the definition of the properties to be measured, and the related software is described. The proposed method measures the width, pinholes, and edge waviness and evaluates the printability of the patterns quantitatively. The proposed measurement method could be an efficient tool to evaluate and enhance the printability of printed patterns in printed electronics.

• Journal of Korea Multimedia Society
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• v.19 no.2
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• pp.504-511
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• 2016

3D simulation programs or games on a smart phone and a personal computer have often employed 3D graphic processing techniques and 3D graphical views. However, the user interfaces in those 3D programs have sticked to take a typical 2D style user interface and thus the combination of a 2D user interface view and a 3D simulation view give us a mismatched sense. Since a 2D user interface has been based on the windows controls, it causes sometime DC conflicts between a simulation view and an interface view. Therefore, we will implement the UI developing tool which can be inserted into the pipeline structure for the development of a 3D simulation software and also follows the view-handler design pattern in Microsoft windows system. It will provide various graphical effects such as the deformation of UI depending on the view direction of simulation view and the sitting pose of user. This developing tool gives the natural user interface which heightens the sense of unity with a given 3D simulation view.

• Applied Science and Convergence Technology
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• v.24 no.5
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• pp.184-189
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• 2015

We report a simple way to enhance the size gradient of an imprinted nanopattern through oxygen plasma etching under a nonuniform magnetic field. A sample substrate was placed next to a magnet, and then a nonuniform magnetic field condition was formed around the sample. Using oxygen plasma etching, a line pattern having an initial width of 273 nm was gradually modified from 248 nm at one end to 182 nm at the other end. Controlling the arrangement of the magnet and sample, we could induce a triangular shape size gradient. We verified that the gradually modified nanopatterns we produced are applicable to continual optical property control, showing a possibility to be utilized for optical components such as gratings and polarizers.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.4
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• pp.128-136
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• 2020

In this paper, we presented a simple hologram recording set for learners to broaden their program choices and experience holographic techniques with lifelong education programs. In order to obtain quality 3D images, the quality of light sources and recording mediums, which are the main elements of hologram recording, must be good. In addition, due to the characteristics of the hologram, the ambient vibrations shall be minimized for accurate interference pattern recording. The simple hologram recording set presented in this paper has not significantly restricted in space and location, and anyone can easily experience it at a reasonable price compared to the existing hologram production method. Also, it can make two different type of hologram (transmission and reflection) for providing easy access to recording and reconstruction of the hologram. Experiments have shown that holographic manufacturing practices are a very useful way to educate the public on optics and photonics technologies.

• Journal of the Korea Society of Computer and Information
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• v.10 no.5 s.37
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• pp.11-16
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• 2005

Recently, there are a lot of endeavor to implement a fuzzy theory to artificial neural network. Goh proposed the fuzzy single layer perceptron algorithm and advanced fuzzy perceptron based on the generalized delta rule to solve the XOR Problem and the classical Problem. However, it causes an increased amount of computation and some difficulties in application of the complicated image recognition. In this paper, we propose an enhanced fuzzy single layer Perceptron using the dynamic adjustment of threshold. This method is applied to the XOR problem, which used as the benchmark in the field of pattern recognition. The method is also applied to the recognition of digital image for image application. In a result of experiment, it does not always guarantee the convergence. However, the network show improved the learning time and has the high convergence rate.

• Journal of the Optical Society of Korea
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• v.17 no.3
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• pp.255-261
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• 2013

Scene-based nonuniformity correction techniques for infrared focal-plane arrays have been widely considered as a key technology, and various algorithms have been proposed to compensate for fixed-pattern noise. However, the existed algorithms' capability is always restricted by the problems of convergence speed and ghosting artifacts. In this paper, an effective scene-based nonuniformity correction method is proposed to solve these problems. The algorithm is an improvement over the constant statistics method and a temporal median is utilized with the Gaussian kernel to estimate the nonuniformity parameters. Also theoretical analysis is conducted to demonstrate that effective ghosting artifacts elimination and superior convergence speed can be obtained with the proposed method. Finally, the performance of the proposed technique is tested with infrared image sequences with simulated nonuniformity and with infrared imagery with real nonuniformity. The results show the proposed method is able to estimate each detector's gain and to offset reliably and that it performs better in increasing convergence speed and reducing ghosting artifacts compared with the conventional techniques.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.8
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• pp.1500-1506
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• 2015

In this paper, en efficient broadcast scheme with acknowledged mode is proposed. Specifically, based on stochastic pattern of ACK/NACK across all users and index coding, adaptive coding scheme with XOR operation is used at the transmitter. At each receiver, packets are decoded using layered decoding method with already successfully decoded packets. From numerical results, proposed index coded broadcast scheme is shown to be more efficient than naive broadcast scheme in the sense of average total number of transmitted packets.