• Journal of IKEEE
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• v.21 no.1
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• pp.46-65
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• 2017

This paper proposes a fast patch-based de-blurring algorithm including kernel estimation based on the angle between the edge and the blur direction. For de-blurring, image patches from the most informative edges in the blurry image are used to estimate a kernel with low computational cost. Moreover, the kernels of each patch are estimated based on the correlation between the edge direction and the blur direction. This makes the final kernel more reliable and creates an accurate latent image from the blurry image. The combination of directionally oriented kernel estimation and patch-based de-blurring is faster and more accurate than existing state-of-the art methods. Experimental results using various test images show that the proposed method achieves its objectives: speed and accuracy.

• Preventive Nutrition and Food Science
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• v.3 no.1
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• pp.43-47
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• 1998

The incidence of total molds, Fusarium species, and the estrogenic mycotoxin,zearalenone, in Korean grain samples were investigated . The majority of molds infecting grain were identified as belonging to the genus Alternaria , with an average infection rate of kernels of 43% and 32% in rice and baley, respectively. Fusarium speciens were less common, with average infection rates of 13% and 19% in reice and barley, respectively. A number of field fungi including Curvularia and Dactylaria were also observed. Among the Fusarium speices, 71 of 94 Fusarium isolates were identified as F.semitectum. A few F. moniliforme and F. equiseti were observed linked immunosorbent assay (ELISA) or high-performance liquid chromatography(HPLC). In addition, deoxynivalenol was not deteted by ELISA . However, thepresence of molds, including Fusarium species, may pose possbile health hazards to persons consuming those grains.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06b
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• pp.157-159
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• 2006

표절이란 원작자의 허락 없이 저작물의 일부분 혹은 전체를 사용하는 것이다. 이는 특히 대학의 프로그래밍 코스에서 심각한 문제가 된다. 이를 해결하기 위해 많은 표절 검출 시스템이 연구되어 왔으나 복사된 소스코드에 필요 없는 코드를 첨가할 경우, 성능이 낮아지는 문제가 있었다. 이 문제는 기존 시스템이 소스코드의 구조적인 정보를 효율적으로 다루지 않았기 때문이다. 본 논문에서는 Parse Tree Kernels를 이용한 소스 코드 표절 검출 시스템을 제안한다. 제안한 시스템은 Parse Tree Kernels를 이용하여 소스코드의 구조적 정보를 효과적으로 다룬다. 이를 보이기 위한 실험에서는 기존의 표절 검출 시스템인 SID, JPlag와 비교하여 제안한 시스템이 소스 코드의 구조적 정보를 기존 시스템에 비해 효율적으로 이용하고 있음을 보였다.

• Proceedings of the KOSOMBE Conference
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• v.1993 no.11
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• pp.194-197
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• 1993

A technique for fast image reduction or expansion, in which the reduction(expansion) factor is either any integer or any rational number M/L Is represented. The multiresolution is modeled as an interpolation and filtering followed by a decimation. The model enables frequency domain analysts of the muitiresolution representations as well as convenient design of the Kernels(filters). Using any rin linear phase(Type I) filters a fine to coarse multiresolution structure can be generated.

• Journal of Information Processing Systems
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• v.1 no.1 s.1
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• pp.1-8
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• 2005

Embedded systems are used in many fields such as home appliances, terminals, controls, communications, etc. So, to manage, control, and test these embedded systems, monitoring programs have been developed variously. In this paper, to overcome the characteristic faults of embedded systems which have resource restrictions, we implemented a development environment based on NFS and designed a monitoring tool that can evaluate and analyze kernel performance in embedded equipment by using LTT(Linux Trace Toolkit). Also, we designed a method to show monitoring data collected by using a monitoring tool, called MONETA 2.0, through the web-page.

• Proceedings of the KIEE Conference
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• 1998.11a
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• pp.217-219
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• 1998

The need to accommodate much complex algorithm. high communication functionality and easier user interface lays heavy burden on the software developer of the protection relay these days. Using lightweight real-time kernel like uC/OS, the software development process can have much structural and easier feature. And total cost needed to development and maintenance of the software also can be reduced by development based on these real-time kernels.

• Journal of the Korean Mathematical Society
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• v.44 no.4
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• pp.809-822
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• 2007

Certain weak type endpoint estimates are established for maximal commutators generated by $Calder\acute{o}n-Zygmund$ operators and $Osc_{exp}L^{\gamma}({\mu})$ functions for ${\gamma}{\ge}1$ under the condition that the underlying measure only satisfies some growth condition, where the kernels of $Calder\acute{o}n-Zygmund$ operators only satisfy the standard size condition and some $H\ddot{o}rmander$ type regularity condition, and $Osc_{exp}L^{\gamma}({\mu})$ are the spaces of Orlicz type satisfying that $Osc_{exp}L^{\gamma}({\mu})$ = RBMO(${\mu}$) if ${\gamma}$ = 1 and $Osc_{exp}L^{\gamma}({\mu}){\subset}RBMO({\mu})$ if ${\gamma}$ > 1.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.525-528
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• 2019

Atmospheric particle removal is a challenging task and attacks wide interests in computer vision filed. In this paper, we proposed a single image snow removal framework based on deep residual networks. According to the fact that there are various snow sizes in a snow image, the inception module which consists of different filter kernels was adopted to extract multiple resolution features of the input snow image. Except the traditional mean square error loss, the perceptual loss and total variation loss were employed to generate more clean images. Experimental results on synthetic and realistic snow images indicated that the proposed method achieves superior performance in respect of visual perception and objective evaluation.

• Journal of the Chungcheong Mathematical Society
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• v.24 no.4
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• pp.745-758
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• 2011

Generalizing the Burchnall-Chaundy operator method, the authors are aiming at presenting certain decomposition formulas for the chosen six Exton functions expressed in terms of Appell's functions $F_3$ and $F_4$, Horn's functions $H_3$ and $H_4$, and Gauss's hypergeometric function F. We also give some integral representations for the Exton functions $X_i$ (i = 6, 8, 14) each of whose kernels contains the Horn's function $H_4$.

• Journal of Korea Multimedia Society
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• v.25 no.11
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• pp.1582-1590
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• 2022

Due to the situation of the widespread of the coronavirus, which causes the problem of lack of face image data occluded by masks at recent time, in order to solve the related problems, this paper proposes a method to generate face images with masks using a combination of generative adversarial networks and spatial transformation networks based on CNN model. The system we proposed in this paper is based on the GAN, combined with multi-scale convolution kernels to extract features at different details of the human face images, and used Wasserstein divergence as the measure of the distance between real samples and synthetic samples in order to optimize Generator performance. Experiments show that the proposed method can effectively put masks on face images with high efficiency and fast reaction time and the synthesized human face images are pretty natural and real.