• Communications for Statistical Applications and Methods
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• 제18권6호
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• pp.787-798
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• 2011

In this paper, we develop some characterization results in terms of survival entropy of the first order statistic. In addition, we generalize the cumulative entropy recently proposed by Di Crescenzo and Logobardi (2009) to a new measure of information (called the failure entropy) and study some properties of it and its dynamic version. Furthermore, power distribution is characterized based on dynamic failure entropy.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2001년도 춘계학술대회논문집
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• pp.799-810
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• 2001

필자는 소음진동공학회가 품질기술원으로부터 ISO/TC108 기계진동 및 충격(Mechanical Vibration and Shock) 간사기관업무를 위탁 받은 후부터 SC6 진동 및 충격 발생시스템(Vibration and Shock Generating Systems)에 대한 한국측 위원으로 일을 해왔다. (중략)

• 한국지진공학회:학술대회논문집
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• 한국지진공학회 1997년도 추계 학술발표회 논문집 Proceedings of EESK Conference-Fall 1997
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• pp.101-108
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• 1997

A pair of piezoelectric transducers was developed for geotechnical site characterization in rock materials. SH-wave measurement capability of the transducers can provide a more complete characterization. The performance of the transducers was tested at a limestone site.

• 지구물리
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• 제6권2호
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• pp.89-97
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• 2003

For safety evaluation of a rockfill dam, it is often necessary to investigate spatial distribution and dynamic characterization of weak zones such as fractures. For this purpose, both seismic and electric methods are adopted together in this research. The former employs the multichannel analysis of surface waves (MASW) method, and aims at the mapping of 2-D shear-wave velocity (Vs) profile along the dam axis that can be associated with dynamic properties of filled materials. The latter is carried out by DC- resistivity survey with a main purpose of mapping of spatial variations of physical properties of dam materials. Results from both methods are compared in their signature of anomalous zones. In addition, downhole seismic survey was carried out at three points within the seismic survey lines and results by downhole seismic survey are compared with the MASW results. We conclude that the MASW is an efficient method for dynamic characterization of dam-filling materials, and also that joint analyses of these two seemingly unrelated methods can lead to an effective safety evaluation of rock-fill dam.

• 한국컴퓨터산업학회논문지
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• 제2권4호
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• pp.455-470
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• 2001

본 논문에서는 ATM상에서의 효율적인 VBR 비디오 소스 전송을 위한 트래픽 특성화를 다루었다. 트래픽 특성화를 위하여 전송 중 트래픽이 적은 모니터링 기법을 사용하였고 지연 요구사항을 만족시키는 동적 VBR 특성화 방식을 제안하였다. 동적 VBR 방식은 누적 제한 함수 (Cumulative Constraint Function)를 이용한 토큰 버킷 알고리즘 버퍼링을 사용하였다. 누적 제한 함수는 초기에는 peak rate로 전송을 시작하여 일정시간 동안 모니터링 한 후, 다음 트랙픽을 예측하여 적절한 버퍼를 제공하였다. 누적 프레임의 갱신을 통하여 네트워크 자원 예약량을 감소시켰고 이전 프레임 정보를 가지고 rate를 변경시켰다. 이는 적은 모니터링을 하며 오버헤드도 적다. 그리고 이전의 결정적 제한 함수 (Deterministic Constraint Function)의 복잡도를 0(n) 까지 낮추었고, 토큰 버킷의 토큰 rate와 토큰 depth를 구하여 매핑 하였다. 본 논문은 시뮬레이션을 통한 결과치를 비교 분석하여 이전의 방식보다 적은 네트워크 자원이 소모되는 것을 보여준다.

• 한국유변학회:학술대회논문집
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• 한국유변학회 2002년도 추계학술발표회 논문집
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• pp.113-116
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• 2002

• Journal of Electrical Engineering and Technology
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• 제2권4호
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• pp.543-548
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• 2007

We present a dynamic Bayesian network (DBN) model of a generalized class of nonstationary birth-death processes. The model includes birth and death rate parameters that are randomly selected from a known discrete set of values. We present an on-line algorithm to obtain optimal estimates of the parameters. We provide a simulation of real-time characterization of load traffic estimation using our DBN approach.

• 한국지반공학회논문집
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• 제34권2호
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• pp.55-63
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• 2018

열차의 하중을 적절한 강성으로 지지하기 위하여 다짐시공된 노반의 효과적인 강성특성 평가 기법에 대한 연구가 요구된다. 본 연구에서는 상부노반에 대하여 크로스홀 형태의 동적 콘 관입기(CDCP)를 적용함으로써 심도에 따른 강성특성을 평가하고자 하였다. CDCP의 적용을 위하여 세 단면의 다짐시공 완료된 상부노반이 대상 현장으로 선택되었으며, 각각의 개소에 대하여 CDCP 관입실험 및 들밀도시험, 동평판재하시험(LFWD)이 수행되었다. CDCP 관입실험 결과, 심도에 따른 탄성파 발신시간 및 전단파 수신시간을 획득하였으며, 이를 이용하여 노반의 전단파속도 주상도를 획득하였다. 또한, 동일 개소에서 들밀도시험으로부터 획득한 노반의 밀도 및 전단파속도 주상도를 이용하여 심도에 따른 최대전단강성계수($G_{max}$)를 평가할 수 있었다. CDCP 관입실험 및 들밀도시험으로부터 평가된 최대전단강성계수와 LFWD시험으로부터 획득한 동탄성계수($E_{vd}$)를 상호비교한 결과 매우 우수한 선형관계를 보이므로, CDCP 관입실험으로부터 유효한 강성특성을 평가할 수 있을 것이라 판단되었다. 또한, CDCP 관입실험으로부터 도출되는 결과는 일정 심도에 대한 대표 강성특성이 아닌 심도에 따른 연속적인 강성특성 이므로 노반의 강성특성 평가에 효과적으로 이용될 수 있을 것이라 기대된다.

• Smart Structures and Systems
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• 제18권2호
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• pp.197-216
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• 2016

The increased speed of a train causes increased loads that act on the track substructures. To ensure the safety of the track substructures, proper maintenance and repair are necessary based on an accurate characterization of strength and stiffness. The objective of this study is to develop and apply a cone penetrometer incorporated with the dynamic cone penetration method (CPD) for investigating track substructures. The CPD consists of an outer rod for dynamic penetration in the ballast layer and an inner rod with load cells for static penetration in the subgrade. Additionally, an energy-monitoring module composed of strain gauges and an accelerometer is connected to the head of the outer rod to measure the dynamic responses during the dynamic penetration. Moreover, eight strain gauges are installed in the load cells for static penetration to measure the cone tip resistance and the friction resistance during static penetration. To investigate the applicability of the developed CPD, laboratory and field tests are performed. The results of the CPD tests, i.e., profiles of the corrected dynamic cone penetration index (CDI), profiles of the cone tip and friction resistances, and the friction ratio are obtained at high resolution. Moreover, the maximum shear modulus of the subgrade is estimated using the relationships between the static penetration resistances and the maximum shear modulus obtained from the laboratory tests. This study suggests that the CPD test may be a useful method for the characterization of track substructures.

• Smart Structures and Systems
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• 제15권4호
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• pp.1103-1120
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• 2015

A self-sensing magnetorheological (MR) damper with embedded piezoelectric force sensor has recently been devised to facilitate real-time close-looped control of structural vibration in a simple and reliable manner. The development and characterization of the self-sensing MR damper are presented based on experimental work, which demonstrates its reliable force sensing and controllable damping capabilities. With the use of experimental data acquired under harmonic loading, a nonparametric dynamic model is formulated to portray the nonlinear behaviors of the self-sensing MR damper based on NARX modeling and neural network techniques. The Bayesian regularization is adopted in the network training procedure to eschew overfitting problem and enhance generalization. Verification results indicate that the developed NARX network model accurately describes the forward dynamics of the self-sensing MR damper and has superior prediction performance and generalization capability over a Bouc-Wen parametric model.