• Title/Summary/Keyword: Behavior detection

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Detection of Low Cycle Fatigue in Type 316 Stainless Steel using HTS-SQUID

  • Park, D.G.;Kim, D.W.;Timofeev, V.P.;Hong, J.H.
    • Corrosion Science and Technology
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    • v.3 no.5
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    • pp.222-225
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    • 2004
  • A portable RF HTS SQUID-based susceptometer was applied to the measurement of fatigue behavior for type 316L(N) stainless steel containing 0.04% to 0.15% nitrogen content. Strain-controlled low cycle fatigue (LCF) tests were conducted at RT and $600^{\circ}C$ in air an atmosphere, and the magnetic moments were measured after the fatigue test using HTS SQUID. The magnetic moment of an as-received sample is higher than that of a fatigued sample in all the temperature ranges irrespective of the nitrogen content. The fatigue life decreased with an increasing test temperature up to $500^{\circ}C$, but increased at $600^{\circ}C$. The change of the magnetic moments by LCF test is attributed to the stress induced micro defects.

A review of the application of acoustic emission technique in engineering

  • Gholizadeh, S.;Leman, Z.;Baharudin, B.T.H.T.
    • Structural Engineering and Mechanics
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    • v.54 no.6
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    • pp.1075-1095
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    • 2015
  • The use of acoustic emission (AE) technique for detecting and monitoring damages and the progress on damages in different structures is widely used and has earned a reputation as one of the most reliable and well-established technique in non-destructive testing (NDT). Acoustic Emission is a very efficient and effective technology used for fracture behavior and fatigue detection in metals, fiberglass, wood, composites, ceramics, concrete and plastics. It can also be used for detecting faults and pressure leaks in vessels, tanks, pipes, as well as for monitoring the progression of corrosion in welding. This paper reviews major research developments over the past few years in application of acoustic emission in numerous engineering fields, including manufacturing, civil, aerospace and material engineering.

Measuring high speed crack propagation in concrete fracture test using mechanoluminescent material

  • Kim, Wha-Jung;Lee, Jae-Min;Kim, Ji-Sik;Lee, Chang Joon
    • Smart Structures and Systems
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    • v.10 no.6
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    • pp.547-555
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    • 2012
  • Measuring crack length in concrete fracture test is not a trivial problem due to high speed crack propagation. In this study, mechanoluminascent (ML) material, which emits visible light under stress condition, was employed to visualize crack propagation during concrete fracture test. Three-point bending test was conducted with a notched concrete beam specimen. The cracking images due to ML phenomenon were recorded by using a high speed camera as a function of time and external loadings. The experimental results successfully demonstrated the capability of ML material as a promising visualization tool for concrete crack propagation. In addition, an interesting cracking behavior of concrete bending fracture was observed in which the crack propagated fast while the load decreased slowly at early fracture stage.

Identification of Fuzzy Dynamic Model for Fault Diagnosis of Nonlinear System (비선형계통 고장진단을 위한 온-라인 퍼지동적모델 식별)

  • 이종렬;배상욱;이기상;박귀태
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1998.10a
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    • pp.204-210
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    • 1998
  • This paper discusses an on-line fuzzy dynamic model(FDM) identification of nonlinear processes for the design of fuzzy model based fault detection and isolation(FDI). The dynamic behavior of a nonlinear process is represented by a fuzzy aggregation of a set of local linear models. The identification is divided into two procedures. The first is the off-line identification of membership function. The second is the on-line identification of the local linear models. Then, we propose a residual generation scheme based on the parameters of local linear models and show that the scheme can be used for the design of FDI

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A Dual Radiation Monitoring System Ror Robot Working in High Radiation Field (고방사선장내 작업 로봇용 이중 방사선 감지 시스템)

  • Lee Nam-Ho;Cho Jai-Wan;Kim Seung-Ho
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.54 no.9
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    • pp.556-558
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    • 2005
  • The effect of high irradiation on inspection systems in a nuclear power plant can be severe, especially to electronic components such as control hoards. The effect may lead to a critical malfunction or trouble to a underwater robot for inspection and maintenance of nuclear reactor. However, if information on the total accumulated dose on the sensitive parts of the robot is available, a prediction of robot's behavior in radiation environments becomes possible. To know how much radiation the robot has encountered, a dosimeter to measure the total accumulated dose is necessary. This paper describes the development effort of a dual radiation monitoring system using a SiC diode as a dose-rate meter and a p-type power MOSFET as a dose meter. This attempt using two sensors which detect same radiation improves reliability and stability at high intensity radiation detection in nuclear facilities. It uses the concept of diversity and redundancy.

Development of a Fuzzy Logic-based Fault Identification System In Distribution System (퍼지 논리 적용에 의한 배전계통의 고장 검출 시스템 개발)

  • Kim, Chang-Jong;Oh, Yong-Taek
    • Proceedings of the KIEE Conference
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    • 1996.07b
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    • pp.737-739
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    • 1996
  • Abnormal conditions and disturbances in distribution system cause an immediate influence to the customers. Conventional detection schemes for the distribution abnormalities have been applied in limited extents mainly because of their low reliability. In this paper, we developed a disturbance identification system which monitors the load level after a transient, checks the harmonic behavior of the load, and finally makes decision on the cause of the disturbance. This system identifies and discriminates overcurrent faults, arcing ground faults, recloser activities, and foreign object or tree contacts. In the implementation of the identification system, we applied fuzzy logic to better represent some variables whose Quantities are expressed only in non-numerical terms.

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A Study on the Detection Behavior of Chlorine Dioxide on Metal Oxide Sensors (금속산화물센서의 이산화염소 가스에 대한 감지거동에 관한 연구)

  • Yu, Joon-Boo;Byun, Hyung-Gi
    • Journal of Sensor Science and Technology
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    • v.29 no.3
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    • pp.211-214
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    • 2020
  • Chlorine dioxide is very effective gas for sterilization or disinfection (in manufacturing), and does not produce harmful by-products after use. However, if its concentration exceeds 10 %, it become explosive and cannot be compressed or stored. Therefore, it is necessary to measure its concentration. In this study, the concentration of chlorine dioxide with a high oxidizing strength was measured using a metal oxide sensor. The sensor was a commercially available TGS series from Figaro. The sensitivity of the sensor was inversely proportional to a low concentration of chlorine dioxide gas below 6 ppm and returned to the initial resistance at about 6 ppm. When the gas concentration reached multiples of 10 ppm, resistance of the sensor increased to several megaohms.

A Study of common behavior detection technology using endpoint's network connection record (엔드포인트의 네트워크 접속 기록을 활용한 공통 행위 탐지 기술 연구)

  • Seo, Jeonghoon;Yeom, Cheolmin;Yeon, Seonghwa;Park, Jongsang;Won, Yoojae
    • Annual Conference of KIPS
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    • 2018.10a
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    • pp.272-275
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    • 2018
  • 금전적 이득을 극대화하기 위해 특정 기업, 기관을 대상으로 하는 공격이 증가하고 있다. 공격에 사용되는 일반적인 악성코드의 특징은 기존 시그니처 탐지 방법으로는 탐지하기 어렵다는 것과 공격자의 C&C 서버와의 통신이 일어난다는 점이다. 기업, 기관을 대상으로 이러한 악성코드를 이용한 공격이 시도된다면 감염된 모든 PC로부터 공통적인 네트워크 접속 기록이 발견될 수 있다. 따라서 본 논문에서는 이러한 특징에 중점을 두고 라이브 포렌식 오픈 소스를 활용하여 엔드포인트의 네트워크 접속 기록을 활용해 공통 행위를 탐지하는 기법을 제시하고자 한다.

Anormal Behavior Detection Using RBF Neural Network (RBF 신경망을 이용한 비정상 행위의 탐지 기법)

  • Kim, H.T.;Kim, Y.H.;Lee, K.S.;Kang, J.M.;Won, Y.
    • Annual Conference of KIPS
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    • 2002.04b
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    • pp.805-808
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    • 2002
  • 컴퓨터 시스템 및 네트워크에 대한 침입 공격의 방법 중 이미 알려진 형태의 공격에 대해서는 상대적으로 탐지가 용이하나 사용자의 비정상행위는 방법의 다양성 때문에 탐지가 매우 어렵다. 그러나, 사용자의 정상적인 행동은 몇 가지 소수의 형태로 특정 지어질 수 있다. 본 논문에서는 상대적으로 변화가 적은 정상 행위를 신경망으로 Modeling하여 이를 비정상 행위 탐지에 적용하는 기법을 제안한다. 이를 위하여 입력 영역을 지역화 하는 특성을 갖는 RBF(Radial-Basis-Fuction) 신경망에 대한 단일 Class의 학습방법을 제안하고, 이를 이용한 비정상 행위에 대한 공격의 탐지에 대한 적용 방안을 제시한다. 비정상 행위 탐지에 대한 적용 가능성을 검증하기 위하여 사용자가 키보드 입력 유형을 학습하고 이를 이용하여 타인의 ID와 Password를 도용한 경우의 탐지에 적용하였다.

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A Study on the Phase Transition of DPPC Organic Films (DPPC 유기박막의 상전이에 관한 연구)

  • 김동관;이순형;최영일;최충석;장희동;이경섭
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2000.07a
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    • pp.491-494
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    • 2000
  • Conductive Langmuir-Blodgett(LB) films have recently attracted much interest from the viewpoint of ultrathin film conductors at the molecular level. The result shows that the Maxwell-displacement-current(MDC) measuring technique is useful in the detection of phase-transition over the entire range of molecule areas. At the liquid-solid phase transition, a striking feature in the present current measurement was observed; the I-A isotherm for a DPPC monolayer has sharp bend. Dynamic behavior of monolayers in the presence of an external field was also investigated using the current-measuring technique. Dynamic behavier of DPPC monolayer was measured by displacement current when the molecules are stimulated by pressure velocity. As result, it is known that current is generated of higher current pe마 as compression velocity become faster. Also, in order to clarify the reorganization of the lipid monolayers, it is instructive to plot the relationship between I and 1/$A^2$.

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