• The Transactions of the Korea Information Processing Society
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• v.4 no.9
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• pp.2342-2353
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• 1997

According to the outstanding development of information industry, a study of firewall is progressing as one of methods to cope with threat and loss of the data through computer network. For the secure network, this paper proposes the method diminishing threat and loss of the network using the correlation firewall with network audit trail system. Also, this paper suggests not only the audit analyzer execution model but also the type of databases used in audit analyzer to analyze the audit data. Network audit trail system has the function of identifing and analyzing of all intruder actions using audit records created by users.

• Journal of Institute of Control, Robotics and Systems
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• v.12 no.4
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• pp.395-399
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• 2006

A method to recognize unpaved road region using a 3D depth measurement system is proposed for mobile robots. For autonomous maneuvering of mobile robots, recognition of obstacles or recognition of road region is the essential task. In this paper, the 3D depth measurement system which is composed of a rotating mirror, a line laser and mono-camera is employed to detect depth, where the laser light is reflected by the mirror and projected to the scene objects whose locations are to be determined. The obtained depth information is converted into an image. Such depth images of the road region represent even and plane while that of off-road region is irregular or textured. Therefore, the problem falls into a texture identification problem. Road region is detected employing a simple spatial differentiation technique to detect the plain textured area. Identification results of the diverse situation of unpaved trail are included in this paper.

• YAKHAK HOEJI
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• v.3 no.1
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• pp.45-47
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• 1957

A paper chromatographical method is studied to detect As and Sb from a mixed sample applying the principle of Gutzeit's. After spoting the mixed $AsH_3$ sample on the $AgNO_3$ band of paper strip (6 mm $\times$ 300 mm of Whatman No.52 or Toyo No.2 filter paper), the strip is developed by ascending method using N-HCl solution as a developing soluvent. The color spot detection of As and Sb is done by exposing the dried chromatogram to $H_2S$ stream. According to the experiments, the detectable minimum range of As is 3 micrograms and that of Sb is 15 micrograms. The yellow phosphorous interfers to the color spot detection of As and Sb, so that, previously the most of yellow phosphorous from the sample should be removed out.

• Proceedings of the KIEE Conference
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• 2006.04a
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• pp.147-149
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• 2006

We designed an intelligent intrusion detection scheme that works based on target system's operational states and doesn't depend on humans' analysis. As a prior work, we presents a scheme to describe computer system's operational states. For this, Hidden Markov Model is used. As input to modeling, huge amount of system audit trail including data on events occurred in target system connected to network and target system's resource usage monitoring data is used. We can predict system's future state based on current events' sequence using developed model and determine whether it would be in daniel or not.

• Journal of Veterinary Clinics
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• v.23 no.2
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• pp.144-148
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• 2006

Apoptotic death of articular chondrocytes has been implicated in the pathogenesis of osteoarthritis. Tartrate resistant acid phosphatase (TRAP) has been used for several years as a marker enzyme of bone-resorbing osteoclasts. This study investigated the activity of TRAP in media of apoptotic cell death-induced canine chondrocyte. We exposed canine chondrocyte to capsaicin and the results showed that capsaicin induced cell death in a dose dependent manner. And we measured TRAP activity in media of chondrocyte death induced by capsaicin treatment and the results capsaicin significantly increased the activity of TRAP in media for dose dependent. We also investigated whether the combination treatment with capsaicin and TRAIL enhance apoptotic cell death in canine chondrocyte. We exposed canine chondrocyte to capsaicin for 24 hrs at the indicated dose, and then treated with recombinant TRAIL protein for 24 hrs. TRAIL alone did not induce cell death after 24 hours, but the combined treatment of both induced more cell death compared with capsaicin alone in a dose dependent manner. Also, the combination treatment with capsaicin and TRAIL increased the activity of TRAP in culture media. These results suggest that TRAP can flow out into extracellular after chondrocyte damage, and TRAP may be a successful biomarker for detection of joint disease such as osteoarthritis.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2007.06a
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• pp.517-518
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• 2007

A method to recognize unpaved road region using a 3D depth measurement system is proposed for mobile robots. For autonomous maneuvering of mobile robots, recognition of obstacles or recognition of road region is the essential task. In this paper, the 3D depth measurement system which is composed of a rotating mirror, a line laser and mono-camera is employed to detect depth, where the laser light is reflected by the mirror and projected to the scene objects whose locations are to be determined. The obtained depth information is converted into an image. Such depth images of the road region represent even and plane while that of off-road region is irregular or textured. Therefore, the problem falls into a texture identification problem. Road region is detected employing a simple spatial differentiation technique to detect the plain textured area. Identification results of the diverse situation of Nonlinear trail are included in this paper.

• Industrial Engineering and Management Systems
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• v.9 no.2
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• pp.141-156
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• 2010

Despite all attempts to prevent fraud, it continues to be a major threat to industry and government. Traditionally, organizations have focused on fraud prevention rather than detection, to combat fraud. In this paper we present a role mining inspired approach to represent user behaviour in Enterprise Resource Planning (ERP) systems, primarily aimed at detecting opportunities to commit fraud or potentially suspicious activities. We have adapted an approach which uses set theory to create transaction profiles based on analysis of user activity records. Based on these transaction profiles, we propose a set of (1) anomaly types to detect potentially suspicious user behaviour, and (2) scenarios to identify inadequate segregation of duties in an ERP environment. In addition, we present two algorithms to construct a directed acyclic graph to represent relationships between transaction profiles. Experiments were conducted using a real dataset obtained from a teaching environment and a demonstration dataset, both using SAP R/3, presently the predominant ERP system. The results of this empirical research demonstrate the effectiveness of the proposed approach.

• Analytical Science and Technology
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• v.25 no.5
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• pp.292-299
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• 2012

GC/MS has been utilized for many applications due to great resolution and reproducibility, which made it possible to build up the database of mass spectrum, while HS-SPME has the advantage of solventfree extraction of volatile compounds. The combination of these two methods, HS-SPME GC/MS, enabled many scientific applications with various possibilities. In this study, the analysis of trail pheromone excreted from live Camponotus japonicus with the feature of solvent-free extraction was carried out and the optimization for this analysis was performed. The major compounds detected were n-decane, n-undecane, and n-tridecane. Optimization for the best detection of these hydrocarbons was processed in the point of SPME parameter (selection of fiber, extraction temperature, extraction time, etc.). The advantage of the analysis of live sample is to analyze phenomenon right after it is excreted by ants. But the experimental process has restriction of extraction temperature and time because of the analysis of live ants. Establishing the process of HS-SPME GC/MS applied to live samples shown in this study can be a breakthrough for the ecofriendly and ethical research of live things.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2008.04c
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• pp.6-9
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• 2008

A 3D depth measurement system is proposed for mobile vehicles. Depth measurement system which is composed of a rotating mirror, a line laser and mono-camera is employed to detect depth, where the laser light is reflected by the mirror and projected to- the scene objects whose locations are to be determined. The obtained depth information is converted into an image. Such depth images of the road region represent even and plane while that of off-road region is irregular or textured. Road region is detected employing a simple spatial differentiation technique to detect the plain textured area. Identification results of the diverse situation of Non-linear trail are included in this paper.

• Journal of KIISE:Computer Systems and Theory
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• v.26 no.2
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• pp.198-210
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• 1999

산업 및 통신기술이 급속히 발전함에 따라, 다양한 형태의 침입기법을 통해 클라이언트-서버 구조의 정보 공유 및 서비스 개념으로 운영되는 시스템상에서 중요한 정보에 대한 유출 및 파괴로 인한 역기능이 심각할 정도로 증가하고 있다. 따라서, 정보시스템에서의 정보의 불법유출을 방지하고 문서나 시스템에 대한 불법행위를 감지할 수 있는 감사추적 기법이 요구된다. 이 논문에서는 능동데이타베이스의 능동규칙을 기존 기법보다 효과적으로 침입자를 감지할수 있는 새로운 감사추적 및 분석시스템 모델을 제안하였다. 이 모델은 시스템사용자에 의해서 발생되는 감사자료의 비정상 여부를 판단할수 있는 기법과 유형별 침입자를 감지하는 알고리즘을 제시하여 정상적인 사용자의 이탈된 행동을 판단할 수 있는 바업을 제시한다.