• 대한전자공학회논문지SD
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• 제38권4호
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• pp.292-301
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• 2001

IDDQ 테스트는 CMOS VLSI 회로에서 발생 가능한 여러 종류의 물리적 결함을 효율적으로 검출 할 수 있는 테스트 방식이다. 본 논문에서는 CMOS에서 발생 빈도가 가장 높은 합선고장을 효과적으로 검출할 수 있는 IDDQ 테스트 알고리즘을 이용하여 패턴 생성기를 개발하였다. 고려한 합선고장 모델은 회로의 레이아웃 정보에 의존하지 않으며, 내부노드 혹은 외부노드에 한정시킨 합선고장이 아닌 테스트 대상회로의 모든 노드에서 발생 가능한 단락이다. 구현된 테스트 패턴 생성기는 O(n2)의 복잡도를 갖는 합선고장과 전압 테스트 방식에 비해 상대적으로 느린 IDDQ 테스트를 위해서 새롭게 제안한 이웃 조사 알고리즘과 고장 collapsing 알고리즘을 이용하여, 빠른 고장 시뮬레이션 시간과 높은 고장 검출율을 유지하면서 적은 수의 테스트 패턴 생성이 가능하다. ISCAS 벤치마크 회로의 모의실험을 통하여 기존의 다른 방식보다 우수한 성능을 보였다.

• 한국지능시스템학회논문지
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• 제22권6호
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• pp.780-785
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• 2012

최근 풍력발전은 전 세계적으로 전기의 생산을 위해 사용되는 신재생 에너지원 중 가장 빨리 성장하고 있는 분야이다. 일반적으로 풍력발전 시스템은 설치 후 약 20년 동안 사용될 수 있도록 설계되며 따라서 장기간 운전할 경우, 풍력 발전기에서의 고장은 필연적으로 발생하게 된다. 특히 풍력발전 시스템의 너셀 내부에는 로터샤프트, 기어박스 및 발전기 등이 설치되며 이들 요소의 정상적인 동작을 보장하기 위한 각종 냉각 시스템이 설치된다. 만일 이들 냉각 시스템에 고장이 발생된다면 전체 풍력발전시스템의 정상적인 동작을 보장하는 것이 불가능하다. 이에 본 연구에서는 풍력발전 시스템 너셀 내부에 설치되는 각종 냉각장치의 고장을 미연에 방지할 수 있게 하는 IR 카메라 기반의 풍력발전용 고장검출 시스템을 제안하고 실제 시스템의 구현을 통해 제안된 기법의 유용성을 확인하고자 한다.

• 한국결정학회지
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• 제3권1호
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• pp.53-66
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• 1992

Extensive research has been perform성 on the property-microstructure-process condition relations of thin films. The various proposed models are mainly based on physical vapor deposition processes. Especially the study on the surface condition of substrates in Zone 1 with low surface mobility has not been sufficient. In this study, therefore, we discussed the mochological changes of TiN films deposited by plusma enhanced chemical vapor deposition process with substrates of different composition and micro-rorghness, and compared it with the Structure Zone Model. We could find out that the growth rate of films increased and micro-grain size decreased with the increase in micro-roughness, but it does not improve the mechanical properties because of many imperfections like voids, micro-cracks, stacking faults, etc. This means that, in these deposition conditions, the increase in shadowing diffect is more effective than the increase in nucleation sites on the growth of films due to the increase in substrate roughness.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 1996년도 가을 학술발표회 논문집
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• pp.95-102
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• 1996

In this study, a stochastic finite element model is proposed with a view to consider the uncertainty of physical properties of discontinuous rock mass in the analysis of structural behavior on underground caverns. In so doing, the LHS(Latin Hypercube sampling) technique has been applied to make up weak points of the Crude Monte Carlo technique. Concerning the effect of discontinuities, a joint finite element model is used that is known to be superior in explaining faults, cleavage, things of that nature. To reflect the uncertainty of material properties, the variables such as the the elastic modulus, the poisson's ratio, the joint shear stiffness, and the joint normal stiffness have been used, all of which can be applicable through normal distribution, log-normal distribution, and rectangulary uniform distribution. The validity of the newly developed computer program has been confirmed in terms of verification examples. And, the applicability of the program has been tested in terms of the analysis of the circular cavern in discontinuous rock mass.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2008년도 춘계 학술발표회 초청강연 및 논문집
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• pp.848-857
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• 2008

In September 2007, the collapses of slopes and landslides are happened at Jeonlanamdo due to heavy rains accompanied with Typoon "Nari". The study area is the tunnel portal slope in new road construction site. This slope consists of pyroclastic rocks and has lots of faults. Particularly, the residual soils of the slope is deteriorated with yellowish mudstone layer as a results of chemical and physical weathering. This has a variety of swelling clay minerals and might be moved easily down at the gentle terrain. The inner factor of $\bigcirc\bigcirc$tunnel portal slope's collapse is the geological weak zone, the convergent topography, the inferiority of drainage and the heavy rain act on the failure as direct trigger.

• 한국해양공학회지
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• 제16권5호
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• pp.61-65
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• 2002

The fault detection and diagnosis of rotating machinery widely used in plants including the ship are important for maintaining the performance of Plants. Recently, the wavelet transform has been recognized an efficient method to detect a little variation of physical quantities by the synchronous localization of time and frequency domains using the translation and dilation of signals. In this Paper, In order to develop efficient and reliable fault detection and diagnosis system rotating machines, the performance of wavelet transformation to detect a little variation of machine status and neural network to diagnose the cause of machine faults are investigated and experimented.

• 한국생산제조학회지
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• 제22권2호
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• pp.287-291
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• 2013

Fault Diagnosis is a process of detecting and isolating faults in a system. On demanding for safety and high reliability systems make it important for some reasons such as economical and environmental incentives. Especially embedded technology and IT technology combined with precise sensing techniques has been doing well developed and applied to fault diagnosis and prognosis in industrial systems like as automotive, ship, heavy industry and aerospace as well. This paper, as an empirical application of diesel engine, presents a method how to get raw data from physical systems, what to consider for successful implementation and which theoretic mathematical models should be applied. In a sense of system level Adaptive Filtering (we call Modified Kalman Filter) and a unit of part level Hidden Markov Process was developed and applied.

• Journal of international Conference on Electrical Machines and Systems
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• 제2권1호
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• pp.23-30
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• 2013

This paper proposes a parametric model for inter-turn fault detection in a fault-tolerant permanent-magnet (FTPM) machine, which can predict the effect of the short-circuit fault to various physical quantity of the machine. For different faulty operations, a new effective stator inter-turn fault detection method is proposed. Finally, simulations of vector-controlled FTPM machine drives are given to verify the feasibility of the proposed method, showing that even single-coil short-circuit fault could be exactly detected.

• 한국정보통신설비학회:학술대회논문집
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• 한국정보통신설비학회 2008년도 정보통신설비 학술대회
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• pp.364-367
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• 2008

Many different types of network equipments are deployed in a large-scale IP network. In this operating environment, network service providers suffer from difficulty in controlling various equipments simultaneously in case network faults happen in their overall or regional network due to physical link failure or abnormal traffic. This paper presents a policy-based methodology to control many different types of network equipments at the same time in abnormal cases. The key idea is that NMS(Network Management System) keeps vendor-neutral control policies in normal times and that when an abnormal case occurs in network, NMS transforms the selected policy into vendor-specific control commands and enforces them to various equipments simultaneously.

• 대한족부족관절학회지
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• 제25권2호
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• pp.61-65
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• 2021

It is widely acknowledged that Achilles tendinopathy and resultant degeneration of the Achilles tendon could be either due to vigorous physical exertion or due to inflammation of the tendon associated with systemic disease. The overuse injuries are generally multifactorial in origin and are caused by repetitive strain of the affected tendon till the tendon can no longer endure the tensile stress. Various alignment and biomechanical faults are claimed to play a causative role. Only 2% of patients complaining of Achilles tendon pain are caused by systemic disease. However, to ensure the right approach to treatment, it is necessary to rule out inflammatory tendinitis caused by systemic diseases such as rheumatoid arthritis, gout, and seronegative spondyloarthrosis.