• IEMEK Journal of Embedded Systems and Applications
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• v.2 no.3
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• pp.145-154
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• 2007

Dynamic update of kernel can change kernel functionality and fix bugs in runtime. Dynamic update is important because it leverages availability, reliability and flexibility of kernel. An instruction-granularity update technique has been used for dynamic update. However, it is difficult to apply update technique for a commodity operating system kernel because development and maintenance of update code must be performed with assembly language. To overcome this difficulty, we design the function-granularity dynamic update system which uses high-level language such as C language. The proposed update system makes the development and execution of update convenient by providing the development environment for update code which is same for kernel development. We implement this system for Linux and demonstrate an example of update for do_coredump() function which is reported it has a vulnerable point for security. The update was successfully executed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.4
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• pp.1110-1127
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• 2022

To improve the training efficiency and generalization performance of a support vector machine (SVM) in a large-scale set, an optimal SVM learning method based on adaptive sparse sampling and the granularity shift factor is presented. The proposed method combines sampling optimization with learner optimization. First, an adaptive sparse sampling method based on the potential function density clustering is designed to adaptively obtain sparse sampling samples, which can achieve a reduction in the training sample set and effectively approximate the spatial structure distribution of the original sample set. A granularity shift factor method is then constructed to optimize the SVM decision hyperplane, which fully considers the neighborhood information of each granularity region in the sparse sampling set. Experiments on an artificial dataset and three benchmark datasets show that the proposed method can achieve a relatively higher training efficiency, as well as ensure a good generalization performance of the learner. Finally, the effectiveness of the proposed method is verified.

• Journal of KIISE:Computer Systems and Theory
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• v.35 no.5
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• pp.223-230
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• 2008

Dynamic update of kernel can change kernel functionality and fix bugs in runtime. Dynamic update is important because it leverages availability, reliability and flexibility of kernel. An instruction-granularity update technique has been used for dynamic update. However, it is difficult to apply update technique for a commodity operating system kernel because development and maintenance of update code must be performed with assembly language. To overcome this difficulty, we design the function-granularity dynamic update system which uses high-level language such as C language. The proposed update system makes the development and execution of update convenient by providing the development environment for update code which is same for kernel development. We implement this system for Linux and demonstrate an example of update for EXT3 file system. The update was successfully executed.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06a
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• pp.244-245
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• 2007

• Journal of radiological science and technology
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• v.32 no.1
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• pp.17-24
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• 2009

Noise evaluation for an image has been performed by root mean square (RMS) granularity, autocorrelation function (ACF), and Wiener spectrum. RMS granularity stands for standard deviation of photon data and ACF is acquired by integration of 1 D function of distance variation. Fourier transform of ACF results in noise power spectrum which is called Wiener spectrum in image quality evaluation. Wiener spectrum represents noise itself. In addition, along with MTF, it is an important factor to produce detective quantum efficiency (DQE). The proposed evaluation method using Wiener spectrum is expected to contribute to educate the concept of Wiener spectrum in educational organizations, choose the appropriate imaging detectors for clinical applications, and maintain image quality in digital imaging systems.

• Journal of KIISE:Software and Applications
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• v.29 no.7
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• pp.510-520
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• 2002

This paper proposes a transformation-based approach to design constraint-based analyses for Java at a coarser granularity. In this approach, we design a less or equally precise but more efficient version of an original analysis by transforming the original construction rules into new ones. As applications of this rule transformation, we provide two instances of analysis design by rule-transformation. The first one designs a sparse version of class analysis for Java and the second one deals with a sparse exception analysis for Java. Both are designed based on method-level, and the sparse exception analysis is shown to give the same information for every method as the original analysis.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.40 no.10
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• pp.110-118
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• 2003

The paper describes a design process of the connection control function that performs overall procedures of optical network control system in the Next Generation - Synchronous Digital Hierarchy (NG-SDH) based transport system. Here, the NG-SDH means a new SDH technology that could perform automatic connection control with a granularity of VC-3 (about 50M) or VC-4 (about 150M) according to the increase and decrease of traffic, which is different from the existing technology that could perform connection control only with a granularity of a physical SDH link (STM-l, STM-4, STM-16, STM-64, STM-256 etc). The NG-SDH based connection control allows an ingress NG-SDH node to control the appropriate connection establishment process according to connection types such as Permanent Connection (PC), Soft Permanent Connection (SPC), Switched Connection (SC) over various SDH and Ethernet line cards.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06a
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• pp.343-344
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• 2008

최근 시스템의 복잡도가 증자함에 따라 보안 취약점 문제가 더욱 많이 발생하고 있다. 이를 해결하기 위해 보안 패치가 배포되고 있지만, 시스템 서비스의 중단이 필요하고 패치 자체의 안정성이 검증되지 못해 패치의 적용이 늦어지는 문제가 발생한다. 우리는 이러한 문제를 해결하기 위해 업데이트성이 없는 커널을 위한 함수 단위 동적 업데이트 시스템인 DUNK를 설계 하였다. DUNK는 서비스 중단 없는 업데이트를 가능케 하고, 보안 기법인 MAFIA를 이용해 안전한 업데이트를 수행한다. MAFIA는 바이너리 패치 코드의 접근 행위를 분석함으로써 패치된 함수가 기존 함수의 접근 권한을 상속받도록 하고, 이를 검증하는 기술을 제공한다. 본 논문에서는 DUNK의 설계와 MAFIA의 알고리즘 및 수행에 대해 기술한다.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.8
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• pp.808-812
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• 2008

In recent years, the software vulnerability becomes an important problem to the safety in operating system kernel. Many organizations endeavor to publish patches soon after discovery of vulnerability. In spite of the effort, end-system administrators hesitate to apply the patches to their system. The reasons of hesitation are the reboot disruption and the distrust of patches. To solve this problem we propose a dynamic update system for non-updatable kernel, named DUNK. The DUNK provides: 1) a dynamic update mechanism at function-level granularity to overcome the reboot disruption and 2) a safety verification mechanism to overcome the distrust problem, named MAFIA. In this paper, we describe the design of DUNK and detailed algorithm of MAFIA.

• The Korean Journal of Physiology
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• v.20 no.1
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• pp.103-124
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• 1986

Since it has been suggested that atrial receptor may be involved in the mechanism of extracellular volume regulation, it was shown that the granularity of atrial cardiocytes can be changed by water and salt depletion, and that an extract of cardiac atrial tissue, when injected intravenously into anesthetized rats, was shown to cause a large and rapid increase in renal excretion of sodium. Various natriuretic peptides were isolated and synthetized, and the effects were investigated by many workers. Most studies, however, have been carried out under anesthesia and there have teen some controversies over direct effect of the factor on the renal function. Therefore, it was attempted in this study to access the effects of an atrial extract and a synthetic natriuretic factor in unanesthetized rabbits. Intrarenal arterial infusion of atrial extract caused a rapid increase of urinary volume and excretion of sodium. Glomerular filtration rate and renal plasma flow were both increased with no change in filtration fraction. The ventricular extract produced no change in urinary excretion of electrolytes, nor in renal hemodynamics. Intrarenal infusion of synthetic atrial natriuretic factor caused increases of renal excretory rate of sodium, chloride and potassium, and $FE_{Na}$. Glomerular filtration rate, renal plasma flow increased. And free water clearance also increased. Accentuated excretory function correlated well with increased glomerular filtration rate and renal plasma flow during infusion and for 10 minutes following the cessation of the infusion. Renin secretion rate decreased during constant infusion of atrial natriuretic factor. However, no correlation was found with the changes in glomerular filtration rate, renal plasma flow, or urinary excretion of sodium. These results suggest that atrial extract or atrial natriuretic factor induces changes in renal hemodynamics, as in excretion of electrolytes either indirectly through hemodynamic changes or directly by inhibiting tubular reabsorption. At the same time, renin secretory function is affected by the factor possibly through an unknown mechanism.