• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
• /
• 2004.05b
• /
• pp.47-53
• /
• 2004

The paper shows that the combination of the hardware, NI PCI 6110E board and the software, Fourier and continuous wavelet transform(CWT) can be used to implement for extracting the important features of the real-time signal. The results confirmed that CWT produces the fast computation enough for the application of the real-time signal processing except the negligible time delay. In denoising case, because of the lack of translation invariance of wavelet basis, traditional wavelet thresholding leads to pseudo-Gibbs phenomena in the vicinity of discontinuities of signal. In this paper, in order to reduce the pseudo-Gibbs phenomena, wavelet coefficients are threshold and reconstruction algorithm is implement through shift-invariant gibbs free denoising algorithm based on wavelet transform footprint. The proposed algorithm can potentially be extended to more general signals like piecewise smooth signals and represents an effective solution to problems like signal denoising.

• Journal of Satellite, Information and Communications
• /
• v.9 no.4
• /
• pp.104-110
• /
• 2014

This paper considers two reconstruction schemes of structured-sparse signals, turbo inference and Markov chain Monte Carlo (MCMC) inference, in compressed sensing(CS) technique that is recently getting an important issue for an efficient video wireless transmission system using multi-copter as an unmanned aerial vehicle. Proposed reconstruction algorithms are setting importance on reduction of image data sizes, fast reconstruction speed and errorless reconstruction. As a result of experimentation with twenty kinds of images, we can find turbo reconstruction algorithm based on loopy belief propagation(BP) has more excellent performances than MCMC algorithm based on Gibbs sampling as aspects of average reconstruction computation time, normalized mean squared error(NMSE) values.

• Proceedings of the KIEE Conference
• /
• 2004.11b
• /
• pp.75-77
• /
• 2004

상정사고 해석의 경우 수많은 상정사고를 실시간에 해석하기 위하여 전력조류계산 결과로 얻어진 Jacobian의 역행렬이 포함하고 있는 민감도 정보를 이용하는 경우가 많다. 이 경우 각종 상정사고 후의 각 모선전압과 전압의 위상각과 같은 상태변수를 선형적으로 신속히 계산할 수 있는 장점이 있는 반면에 송전선로 고장과 같이 계통구성이 변하는 상정사고의 경우에는 계산결과 얻어지는 상태변수 값들의 오차가 커져 상정사고 해석 결과가 부정확해지는 문제점이 있다. 이때 보다 정확한 상태변수 값들을 계산하기 위해서는 탈락한 송전선로를 반영하여 Jacobian을 재구성하고 그 역행렬을 계산하여야한다. 본 논문에서는 특히 민감도를 이용한 상태변수 값의 선형 계산에서 오차가 커지는 문제점이 있는 송전선로 고장의 경우 계통의 구조 변화를 반영한 Jacobian의 역행렬을 별도로 계산하지 않고 기본 케이스 Jacobian의 역행렬을 그대로 이용하여 간단히 구하는 방법을 제시함으로서 보다 빠르고 정확한 상정사고 해석을 할 수 있는 기법에 대해 제안하였다. 제안한 방법은 뉴잉글랜드 39 모선 계통에 적용하여 그 효과를 입증하였다.

• Journal of Internet Computing and Services
• /
• v.10 no.6
• /
• pp.219-228
• /
• 2009

The increased popularity of multimedia applications places a great demand on efficient data storage and transmission techniques. Some methods have been proposed to combine compression and encryption together to reduce the overall processing time, but they are either insecure or intensive computationally. specially, they are unsuitable to wireless communication of mobile device. We propose a novel solution called partial encryption, We introduce quadtree and zerotree wavelet image compression in this paper, it reduces computation for date transmission in mobile device, and does not reduce the compression rate. In conclusion, the proposed partial encryption schemes are fast, secure, and do not reduce the compression performance of underlying compression algorithm.

• Journal of Institute of Convergence Technology
• /
• v.6 no.1
• /
• pp.23-26
• /
• 2016

DC motor shafts have several defects such as double cut, deep scratch on surface, and defects in diameter and length. The deep scratches are due to collision among the other shafts. So the scratches are long and thin but their orientations are random. If the smallest enclosing box, i.e. oriented bounding box for a detective point group is found, then the size of the corresponding defect can be modeled as its diagonal length. This paper proposes an suface inspection algorithm for the DC motor shaft using the oriented bounding box. To evaluate the proposed algorithm, a test bed is made with a line scan CCD camera (4096 pixels/line) and two rollers mechanism to rotate the shaft. The experimental result on a pre-processed image with contrast streching algorithm, shows that the proposed algorithm sucessfully finds 150 surface defects and its computation time (0.291 msec) is enough fast for the requirement (4 seconds).

• Journal of Information Processing Systems
• /
• v.10 no.2
• /
• pp.283-299
• /
• 2014

Skin detection is used in many applications, such as face recognition, hand tracking, and human-computer interaction. There are many skin color detection algorithms that are used to extract human skin color regions that are based on the thresholding technique since it is simple and fast for computation. The efficiency of each color space depends on its robustness to the change in lighting and the ability to distinguish skin color pixels in images that have a complex background. For more accurate skin detection, we are proposing a new threshold based on RGB and YUV color spaces. The proposed approach starts by converting the RGB color space to the YUV color model. Then it separates the Y channel, which represents the intensity of the color model from the U and V channels to eliminate the effects of luminance. After that the threshold values are selected based on the testing of the boundary of skin colors with the help of the color histogram. Finally, the threshold was applied to the input image to extract skin parts. The detected skin regions were quantitatively compared to the actual skin parts in the input images to measure the accuracy and to compare the results of our threshold to the results of other's thresholds to prove the efficiency of our approach. The results of the experiment show that the proposed threshold is more robust in terms of dealing with the complex background and light conditions than others.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.15 no.5
• /
• pp.552-559
• /
• 2005

Recurrent neural networks(RNNs) trained with gradient based such as real time recurrent learning(RTRL) has a drawback of slor convergence rate. This algorithm also needs the derivative calculation which is not trivialized in error back propagation process. In this paper a derivative free Kalman filter, so called the unscented Kalman filter(UKF), for training a fully connected RNN is presented in a state space formulation of the system. A derivative free Kalman filler learning algorithm makes the RNN have fast convergence speed and good tracking performance without the derivative computation. Through experiments of nonlinear channel equalization, performance of the RNNs with a derivative free Kalman filter teaming algorithm is evaluated.

• Journal of the Society of Naval Architects of Korea
• /
• v.37 no.4
• /
• pp.82-91
• /
• 2000

In this study, a numerical scheme based on physical optics method is developed to predict RCS of perfectly conducting body. The scheme is verified through the comparisons of numerical values of cylinder and sphere with analytical ones. It is also applied to compute RCS of a fast naval craft. Major reflection of this ship at threat angle of 0 degrees is found to be due to superstructure and stern part of main hull. In order to investigate the shaping effects on the ship. inclination angles of the stern of main hull and superstructure are set to 12 degrees. The RCS of the ship with shaping is proven to be much reduced in comparison with one without shaping.

• Journal of Broadcast Engineering
• /
• v.26 no.5
• /
• pp.652-655
• /
• 2021

Among various inter prediction techniques of Versatile Video Coding (VVC), adaptive motion vector resolution (AMVR) technology has been adopted. However, for AMVR, various MVs should be tested per each coding unit, which needs a computation of rate-distortion cost and results in an increase in encoding complexity. Therefore, in order to reduce the encoding complexity of AMVR, it is necessary to effectively find an optimal AMVR mode. In this paper, we propose a lightweight neural network-based AMVR decision algorithm based on more diverse datasets.

• Nuclear Engineering and Technology
• /
• v.51 no.4
• /
• pp.1008-1016
• /
• 2019

In the SG (steam generator) of PWR (pressurized water reactor) for a nuclear plant, hundreds of U-shaped tubes are used for the heat exchanger system. They interact with primary pressurized cooling water flow, generating flow-induced vibration in the secondary flow region. A simplified U-tube model is proposed in this study to apply for experiment and its counterpart computation. Using the commercial code, ANSYS-CFX, we first verified the Moody chart, comparing the straight pipe theory with the results derived from CFD (computational fluid dynamics) analysis. Considering the virtual mass of fluid, we computed the major modes with the low natural frequencies through the comparison with impact hammer test, and then investigated the effect of pump flow in the frequency domain using FFT (fast Fourier transform) analysis of the experimental data. Using two-way fluid-structure interaction module in the CFD code, we studied the influence on mean flow rate to generate the displacement data. A feasible CFD method has been setup in this research that could be applied potentially in the field of nuclear thermal-hydraulics.