• 한국공작기계학회논문집
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• 제15권6호
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• pp.82-87
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• 2006

Availability of defect test algorithm that recognizes exact and standardized defect information in order to fundamentally resolve generated defects in industrial sites by giving artificial intelligence to SAT(Scanning Acoustic Tomograph), which previously depended on operator's decision, to find various defect information in a semiconductor package, to decide defect pattern, to reduce personal errors and then to standardize the test process was verified. In order to apply the algorithm to the lately emerging Neural Network theory, various weights were used to derive results for performance advancement plans of the defect test algorithm that promises excellent field applicability.

• 펄프종이기술
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• 제30권1호
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• pp.7-17
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• 1998

With the advent of CLSM in the end of 1980s, it has been applied to the field of pulp and paper science in various ways. This study showed the potentials of CLSM In analyzing a change of pulp fiber and paper properties before and after mechanical treatment. In particular, a quantification of internal fibrillation has been done using cross-sectional images of fibers and image analysis technique, then evaluated the effects of fiber wall delamination on fiber and paper properties. It showed that the delaminated fibers were closely associated to development of the interfiber bonding in a fiber network. The CLSM made it possible to investigate a density profile along the sheet thickness, which was created by some papermaking processes like pressing, drying and calendering. Through the attempt to observe the forming procedure of a fiber network during handsheet making, the CLSM images showed that the pressing stage was considered greatly to contribute to generation of interfiber bonding with removing a free water and partly a bound water between fibers. In addition, the CLSM could be used to illustrate not only a surface profile of paper showing the extent of smoothness or roughness, but also a density profile in a B-direction of the network. Finally it became evident that the CLSM could be used as an excellent tool to predict development in fiber and paper properties before and after mechanical treatment during papermaking processes.

• Tribology and Lubricants
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• 제10권4호
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• pp.13-26
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• 1994

Effects of resin contents, number of carbonization, graphitization, sliding speed, and oxidation on friction and wear behavior of carbon/carbon composite materials were investigated. Friction and wear tests were carried out under various sliding conditions. An experimental setup was designed and built in the laboratory. Stainless steel disks were used as the counterface material. Friction coefficient, emperature, and wear factor were measured with a data acquisition system. Wear surfaces were observed by the scanning electron microscope. It has been shown that the average friction coefficient was increased with the sliding speed in the range of 1.43~6.10 m/s, but it as decreased in the range of 6.10~17.35 m/s. Specimens prepared by different numbers of carbonization. showed variations in friction coefficient and friction coefficient of the graphitized specimen was the highest. Friction coefficients depended on contribution of the plowing and adhesive components. As the number of carbonization was increased, wear factor was reduced. Wear factor of the graphitized specimens dropped further. In the case of graphitized specimens, sliding speed had a large influence on wear behavior. When the tribological experiments were conducted in nitrogen atmosphere, the wear factor was decreased to two thirds of the wear factor obtained in air. It is obvious that the difference was affected by oxidation. Results of friction and wear tests were applied to a neural network system based on the backpropagation algorithm. A neural network may be a valuable tool for prediction of tribological behavior of the carbon/carbon composite material if ample data are present.

• IMMUNE NETWORK
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• 제1권3호
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• pp.187-195
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• 2001

The expression of recombinant proteins fused to 26 kDa glutathione S-transferase (GST) extracted from Schistosoma japonicum represents an attractive system for purifiying proteins of interest in a single step using GST-affinity chromatography. In addition, the GST-tag is used conveniently for detecting fused proteins since its high solubility as well as its relatively small size rarely interferes with the biological activity of the fused protein. In this regard, the GST system is frequently applied for tracing fusion proteins in both prokaryotic and eukaryotic cells to elucidate the physiological interactions and functional compartments of proteins. To provide a further tool in analyzing GST-fusion proteins, a new monoclonal antibody, with a high specificity to the S. japonicum GST was produced. Methods: BALB/c mice were immunized both with recombinant S. japonicum GST proteins, and by the fusion of splenocytes from these mice with myeloma cells. From this, a new anti -GST monoclonal antibody, termed SARAH, was generated. The specificity and reactivity of this antibody was confirmed by ELISA and by Western blot analysis. Results: SARAH showed a high reactivity to recombinant GST and GST fusion protein but not with native mammalian GST proteins as derived from other species including humans, cows, rabbits and rats. The applicability of SARAH was further demonstrated by confocal laser scanning microscopy, where GST proteins that were expressed transiently in mouse fibroblast cells, were specifically detected without interference of endogenous GST. Conclusion: SARAH is new monoclonal antibody with a high specificity to recombinant GST proteins but not to endogenous GST in mammalian cells.

• 융합보안논문지
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• 제4권2호
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• pp.27-34
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• 2004

최근 인터넷 사용의 급격한 증가와 정보통신기술의 급속한 발전은 컴퓨터 보안상의 문제점을 노출하고 있고 이로 인한 피해가 심각한 수준으로 다가오고 있다. 안전한 시스템 접속에 관한 많은 연구가 보고 되고 있지만, 일반적으로 공격자들은 순수 공격 기술이나 네트워크 구성의 결함을 이용하기 보다는 시스템 상에서 구동 중인 프로그램들, 특히 서비스를 위한 프로세스들이 개발 당시에 가지는 근본적인 취약성을 이용한다. 따라서 보안 관리자들은 공격에 이용되는 취약성을 보완하기 위해 보안 패치 작업등 많은 노력과 시간을 투자해야만 하며, 동시에 개발자들 또한 노출된 프로그램의 취약성에 대한 계속된 프로그램 수정 작업으로 부담이 커지고 있는 실정이다. 본 논문에서는 이러한 문제점을 해결하고 안전한 소스코드의 작성을 위하여 프로그램 개발 시 침해의 가능성을 가지는 취약성 함수들을 조사 및 분석을 연구 목표로 하였다. 이를 위하여 소스코드 수준에서 잠재할 수 있는 표준 C 함수에 관련된 취약성과 Win32 API 함수의 취약성에 대하여 분석하고, 그 결과를 기반으로 소스 코드의 취약성을 검사하기 위한 자동화 도구를 개발하였다.

• 한국사이버테러정보전학회:학술대회논문집
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• 한국사이버테러정보전학회 2004년도 제1회 춘계학술발표대회
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• pp.3-8
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• 2004

최근의 침해 사례를 보면 공격자들이 순수 공격 기술이나 네트워크 구성의 결함을 이용하기 보다는 시스템 상에서 구동 중인 프로그램들, 특히 서비스를 위한 프로세스들이 개발 당시에 가지는 근본적인 취약성을 이용한다. 따라서 보안 관리자들은 공격에 이용되는 취약성을 보완하기 위해 많은 노력과 시간을 투자해야만 하며, 동시에 개발자들 또한 계속된 프로그램 수정 작업으로 인한 부담이 커지고 있는 실정이다. 이러한 문제점을 해결하기 위해서는 우선적으로 소스 코드 내에 잠재되어 있는 취약한 함수들에 대한 분석이 있어야 한다. 본 논문에서는 프로그램의 표준 C 함수에 관련된 취약성과 Win32 API 함수의 취약성에 대하여 분석하고, 그 결과를 기반으로 소스 코드의 취약성을 검사하기 위한 자동화 도구를 제안한다.