• 한국정보처리학회논문지
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• 제4권9호
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• pp.2342-2353
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• 1997

정보 산업의 급속한 발전에 따라, 컴퓨터 통신망을 통한 자료의 위협 및 손실에 대처하기 위한 방법중에 하나로서 현재 방호벽 시스템에 대한 연구가 활발히 진행되고 있다. 따라서, 이 논문에서는 효율적인 전산망 보호를 위하여 방호벽 시스템과 전산망 감사 추적 시스템과의 연계성을 통하여 전산망에 대한 위협 및 손실을 줄일 수 있는 방법 및 문제 발생시 사후 조치할 수 있는 시스템 모델을 제시하고자 한다. 또한, 감사 자료 분석을 위하여 감사 분석기에서 사용되는 데이터베이스의 유형과 감사 분석기의 실행 모델을 제시한다. 전산망 감사 추적 시스템은 불법 침입자에 대한 모든 활동을 감시함으로서, 침입 유형을 식별하고, 감사 자료를 분석하는 기능을 갖는다.

• 제어로봇시스템학회논문지
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• 제12권4호
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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.

• 약학회지
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• 제3권1호
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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.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년도 심포지엄 논문집 정보 및 제어부문
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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.

• 한국임상수의학회지
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• 제23권2호
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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.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2007년도 하계학술대회 논문집 Vol.8
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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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• 제9권2호
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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.

• 분석과학
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• 제25권5호
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• pp.292-299
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• 2012

GC/MS (gas chromatography/mass spectrometry)는 훌륭한 분리능과 재현성으로 인해 널리 활용되고 있으며, 정립된 데이터베이스의 활용을 통한 성분 분석에서 활용도가 높다. 또한 HS-SPME (headspacesolid phase micro extraction)법은 용매로 추출을 하지 않은 휘발성 물질의 추출을 하는데 널리 사용되었다. 이 두 방법의 연계는 다양한 시료에서 발생하는 휘발성 성분의 분석에 널리 활용되었다. 위 특징을 이용하여 살아있는 Camponotus japonicus가 분비하는 미량의 페로몬 구성 성분의 분석 방법을 확립하였다. n-Decane, n-undecane, n-tridecane 등의 물질이 미량 페로몬에서 검출되었으며, 이 탄화수소들을 분석하는데 적합한 SPME fiber, 추출 온도, 추출 시간을 최적화하였다. 살아있는 시료를 분석할 수 있기 때문에 특정 현상이 발생하는 그 순간을 분석하는 장점이 있는 한편, 살아있는 시료를 분석하기 때문에 추출 시간 등이 제한된다는 한계점이 있었으나 살아있는 HS-SPME GC/MS 분석방법이 정립된다면 살아있는 시료를 죽일 필요 없다는 점에서 친환경적인 연구의 발전에 해결책이 될 수 있을 것으로 전망한다.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2008년도 춘계학술대회 논문집 센서 박막재료연구회 및 광주 전남지부
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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.

• 한국정보과학회논문지:시스템및이론
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• 제26권2호
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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.