• Journal of the Korean Geotechnical Society
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• v.38 no.8
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• pp.39-52
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• 2022

Multilayer perceptron neural network was trained to determine the factor of safety and slip surface of the slope. Slope geometry is a simple slope based on Korean design standards, and the case of dry and existing groundwater levels are both considered, and the properties of the soil composing the slope are considered to be sandy soil including fine particles. When curating the data required for model training, slope stability analysis was performed in 42,000 cases using the limit equilibrium method. Steady-state seepage analysis of groundwater was also performed, and the results generated were applied to slope stability analysis. Results show that the multilayer perceptron model can predict the factor of safety and failure arc with high performance when the slope's physical properties data are input. A method for quantitative validation of the model performance is presented.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.2
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• pp.35-45
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• 2024

In this paper, we propose an intra prediction method for depth picture using CNN and Attention mechanism. The proposed method allows each pixel in a block to predict to select pixels among reference area. Spatial features in the vertical and horizontal directions for reference pixels are extracted from the top and left areas adjacent to the block, respectively, through a CNN layer. The two spatial features are merged into the feature direction and the spatial direction to predict features for the prediction block and reference pixels, respectively. the correlation between the prediction block and the reference pixel is predicted through attention mechanism. The predicted correlations are restored to the pixel domain through CNN layers to predict the pixels in the block. The average prediction error of intra prediction is reduced by 5.8% when the proposed method is added to VVC intra modes.

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.4
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• pp.91-98
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• 2017

Electrical impedance tomography is a nondestructive imaging technique to reconstruct unknown conductivity distribution based on applied current data and measured voltage data through an array of electrodes attached on the periphery of a domain. In this paper, an inverse method based on truncated singular value decomposition is proposed to solve the inverse problem with the generalized Tikhonov regularization and to reconstruct the conductivity distribution. In order to reduce the inverse computational time, truncated singular value decomposition is applied to the inverse term after the generalized regularization matrix is taken out from the inverse matrix term. Numerical experiments and phantom experiments have been performed to verify the performance of the proposed method.

• Journal of the Korea Computer Graphics Society
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• v.2 no.2
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• pp.61-68
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• 1996

In this paper we propose a new visualization technique to characterize qualitative information of a large DNA sequence. While a long DNA sequence has huge information, it is not easy to obtain genetic information from the DNA sequence. We transform DNA sequences into a polygon to compute their homology in image domain rather than text domain. Our program visualizes DNA sequences with colored random walk plots and simplify them k-convex hulls. A random walk plot represents DNA sequence as a curve in a plane. A k-convex hull simplifies a random work plot by removing some parts of its insignificant information. This technique gives a biologist an insight to detect and classify DNA sequences with easy. Experiments with real genome data proves our approach gives a good visual forms for long DNA sequences for homology analysis.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.46 no.1
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• pp.87-94
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• 2009

Noise estimation and suppression are a crucial factor of many speech communication and recognition systems. In this paper, proposed algorithm is based on the ratio of variance normalized of noisy power spectrum in time-frequency domain. Our proposed algorithm tracks the threshold and controls the trade-off between residual noise and distortion. This algorithm is evaluated by the ITU-T P.835 signal distortion (SIG) and segment signal to noise ratio (SNR), and is superior to the conventional methods.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10b
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• pp.604-606
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• 2001

현대사회가 정보화 되어감에 따라 교육분야에서 컴퓨터의 가치는 더욱 높아지고 있으며, 이러한 요구에 발맞추어 컴퓨터를 이용한 교육 기술과 구현 기술은 저작도구를 중심으로 발견하고 있다. 또한 기술공학의 발전으로 교육기회의 확대와 교육방식에 대한 새로운 패러다임을 제시되고 있으며 새로운 형태의 학습을 가능케 하고 있다. 이러한 수세에 따라 상호 작용성이 보다 강화된 원격통신 기술에 기초한 새로운 WBI의 형태가 나타나고 있다. 본 논문에서는 WBI의 기능을 통해 일률적인 WBI(Web Based Instruction)의 컨텐츠 속에서 자신의 수준에 적절하지 않는 수업을 받았던 학습자에게 수준별 학습을 통해 교수과정과 학습과정에 최대한 도움을 주고 학습자의 학습능력을 극대화시키는 효과를 기대한다. 재사용 가능한 컴포넌트와 라이브러리를 통해 쉽고 빠른 웹 개발지원이 가능한 JSP를 사용하여 운영체제에 독립적인 설계를 하며, 이를 통해 개발자의 편의를 극대화 할 수 있다. 또한 교사와 학생의 빠른 상호 작용성을 기대하며, 교수지원 학습평가(LE Loarning Evaluation) 컴포넌트를 통해 수업의 패러다임이나 교수방법을 수정해야 함을 교수에게 가시적으로 제시한다. WBI 도메인에서 교수지원을 위한 부분의 피드백과 재사용의 가능성을 제공함으로써 개발과 비용 면에서의 높은 효율성을 보장하고, WBI 수업모형의 표준화를 기대한다. 이를 통해 교수가 가지는 교수목표를 달성하는 데에 효과적인 방법을 제시한다.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.38 no.4
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• pp.344-352
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• 2001

In this paper, we propose a cross-correlation property and a related technique based on the validity of image block in a public watermarking and we embed messages into the high frequency band in the DCT domain because of its imperceptibility and fragility. As a result, we were able to inspect the identity of valid block between error corrected original images and watermarked images through experiments. And we confirmed the viability of this cross-correlation as an application for future public watermarking.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.43 no.4 s.310
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• pp.108-115
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• 2006

This paper presents a watermarking algorithm in the discrete wavelet transform domain using evolutionary algorithm. The proposed algorithm consists of wavelet-domain watermark insertion and genetic algorithm-based watermark extraction. More specifically watermark is inserted to the low-frequency region of wavelet transform domain, and watermark extraction is efficiently performed by using the evolutionary algorithm. The proposed watermarking algorithm is robust against various attacks such as JPEG and JPEG2000 image compression and geometric transformations.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.18 no.3
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• pp.255-263
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• 2005

This paper proposes an efficient boundary-based technique for the shape design sensitivity analysis in various disciplines. An analytical sensitivity formula in the form of a boundary integral is derived based on the continuum formulation for a general functional defined in the problems. The formula can be conveniently used for gradient computation in a variety of shape design problems. The advantage of using a boundary-based method is that the shape variation vectors are needed only on the boundary, not over the whole domain. The boundary shape variation vectors are conveniently computed by using finite. Perturbations of the shape geometry instead of complex analytical differentiation of the geometry functions. The potential flow problems and fillet problem are chosen to illustrate the efficiency of the proposed methodology.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.3
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• pp.151-160
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• 2013

iOS applications refer to the apps operating on iOS, a mobile OS developed by Apple. As iOS provides graphic user interfaces based on touch screens, most of iOS apps support GUIs. GUIs become increasingly important for iOS apps. So are GUI tests. As GUI functions are performed by event handlers, faulty event handlers could cause defects in GUIs. Hence, this study detects faults in event handlers as a way to test GUIs for iOS apps, and suggests how to generate test cases by re-defining input domains of event handlers.