• Journal of ILASS-Korea
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• v.21 no.2
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• pp.71-77
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• 2016

Air pollutants nitrogen oxides are inevitably generated in the combustion reaction. Its amount trend is steadily increasing because the rapid modern industrialization and population growth. For this reason, NOx is controlled to reducing the harmful components in the exhaust gas. So Marine Environment Protection Committee (MEPC) take effect 'Tier I', 'Tier II' of air pollution regulation in 2005 and 2011 respectively. According to NOx emissions are strictly regulated management of the vessel through them. In addition, since 2016 the regulation enter into force in the next step 'Tier III' was confirmed by MEPC 66th committee. It's 80% enhanced emissions limits than the 'Tier I' Alternatively these emission regulation, research is actively being carried out about exhaust gas after-treatment methods through the vessel application of Selective Catalytic Reduction(SCR). Therefore depending on the basic specification of cell density according to the Area velocity, Space velocity, Linear velocity is studied the effects of NOx removal efficiency

• Computational Structural Engineering
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• v.8 no.4
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• pp.129-136
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• 1995

This paper presents a boundary element method for obtaining approximate solutions of 2-dimensional consolidation problems based on the Biot's linear theory. Laplace transform is applied to differential equation system in order to eliminate the time dependency. The boundary integral equations in transformed space are formulated and the fundamental solutions are shown in a closed form. In order to convert the transformed solutions to the ones in real space, the Hosono's numerical Laplace transform inversion method is applied. As a numerical example, a half-space consolidation problem subjected to a strip local load is selected and the applicability of the method is demonstrated through the comparison with the exact solutions.

• Journal of the Korea Society of Computer and Information
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• v.11 no.6 s.44
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• pp.1-8
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• 2006

Many researchers have been studied for the automatic chromosome karyotype classification and analysis. For the automatic classify the each chromosome which is the image in microscope, it is necessary to process the sub-procedure, ie. image pre-processing, implementing karyotype classifier. The image pre-processing proceeded the each chromosome separation, the noise exception and the feature parameter extraction. The extracted morphological feature parameter were the centromeric index(C.I.), the relative length ratio(R.L.), and the relative area ratio(R.A.). In this paper, the fuzzy classifier was implemented for the human chromosome karyotype classification. The extracted morphological feature parameter were used in the input parameter of fuzzy classifier. We studied about the selection of the membership function for the optimal fuzzy classifier in each chromosome groups.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.18 no.10
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• pp.1582-1589
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• 1993

This paper presents a method of detecting lines and ellipses from the image by using Hough transform(HT) known as a robust line detection method against noise. Lines are first detected by conventional HT. Then points of the lines are eliminated to reduce the calculation cost and to ease detection of ellipses. For ellipse defection, parameters of the ellipse are calculated by Least Square Method using particular points that contain geometric properties of the ellipse, instead of accumlating Hough array. Circles are detected in the same way as ellipse detection.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.41 no.6
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• pp.239-245
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• 2004

A hue-based noise-tolerant corner detector is proposed for the exact detection of the real corners in spite of the shadows and random noise. Based on the fact that the hue gradient at the border of the opaque objects' shadow is smaller than the intensity gradient in HSI (hue-saturation-intensity) color space, the effects of shadow are eliminated by introducing the hue-weighted combination of vector gradient to the proposed corner detector. Furthermore, the proposed corner detector is robust to random noise by offsetting the contribution to the corner candidate when the polarities of the color gradients of the pixel pairs are out of phase each other. Results of the experiment show that the proposed corner detector can effectively detect the real corners.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.771-772
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• 2011

본 연구에서는 최근 네트워크 기술의 발전으로 가정 내 정보가전기기의 네트워크가 중요해지는 점에 따라 기존의 네트워크 기반의 홈 오토메이션 시스템의 단점을 극복할 HCAS(implementation of house customize automation system based on smart-phone)를 구현하고자 하였다. 기존의 단점으로는 필요한 기능을 사용자에 따라 쉽게 변경하지 못하는 점과 홈 오토메이션 시스템의 높은 비용 등이 있다. 이러한 단점을 보완하기위해 Customize 즉, 사용자의 선택에 따라 제어 가능한 가전기기의 추가 및 제거가 가능한 기능을 구현하였고 ZigBee기술을 사용함으로써 저 전력 무선네트워크를 구현하였다. 그리고 최근의 이슈인 스마트폰을 이용함으로써 기존의 월패드형 이나 리모컨형의 불편한 휴대성을 보완하였고 직관적이며 이미지기반의 사용자 인터페이스는 HCAS의 사용자들이 시스템 제어를 조금 더 편리하고 쉽게 할 수 있게 하였다. 또한 실제로 제작한 모델 하우스에 적용시켜보고 추후의 연구 방향을 제시 하였다.

• The Transactions of the Korea Information Processing Society
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• v.2 no.2
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• pp.264-276
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• 1995

In this paper, a technique for eliminating conditional branches in the compilers for superscalar processors is presented. The technique consists of three major steps. The first step transforms conditional branches into equivalent expressions using algebraic laws. The second step searches all possible instruction sequences for those expressions using GSO of Granlund/Kenner. Finally an optimal sequence that has the least dynamic count for the target superscalar processor is selected from the GSO output. Experiment result shows that for each conditional branch is the input program matched by one of the optimization patterns, the proposed technique outperforms more than 25% speedup of execution time over the original code when the GNU C compiler and the SuperSPARC processor are used.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.9B
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• pp.569-576
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• 2007

This paper is on the enhancement of our heuristics for GOSST problem that could apply to the design of communication networks offering graduated services. This problem hewn as one of NP-Hard problems finds a network topology meeting the G-Condition with minimum construction cost. In our prior research, we proposed two heuristics. We suggest methods of selecting G-Node and disconnections for Global or Local locating heuristic in this research. The ameliorated Local locating heuristic retrenches 17% more network construction cost saving ratio and the reformed Global locating heuristic does 14% more than our primitives.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39C no.4
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• pp.343-350
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• 2014

Divisive hierarchical clustering algorithms iterate the process of decomposition and clustering data recursively. In each recursive call, data in each cluster are arbitrarily selected and thus, the total clustering time can be increased, which causes a problem that it is difficult to apply the process of clustering neighbor vehicular position data in vehicular localization. In this paper, we propose a new heuristic algorithm for speeding up the clustering time by eliminating randomness of the selected data in the process of generating the initial divisive clusters.

• Journal of Korean Society for Geospatial Information Science
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• v.7 no.2 s.14
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• pp.101-110
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• 1999

Recently, there are a lot of studies to use a satellite image data in order to investigate a simultaneous change of a wide range area as a lake. However, in many cases of the water quality research there is one problem occured when extracting the water quality factors from the satellite image data because the atmosphere scattering exert a bad influence on a result of analysis. In this study, an attempt was made to select the relative atmospheric correction method, extract the water quality factors from the satellite image data. And also, the time-series analysis of the water quality factors was performed by using the multi-temporal image data.