• 제목/요약/키워드: Mont Carlo methods

검색결과 4건 처리시간 0.017초

클러터 환경에서 다중센서 정보융합을 통한 유도성능 개선 연구 (A Study of Missile Guidance Performance Enhancement using Multi-sensor Data Fusion in a Cluttered Environment)

  • 한두희;김형원;송택렬
    • 제어로봇시스템학회논문지
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    • 제16권2호
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    • pp.177-187
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    • 2010
  • A MTG (Multimode Tracking and Guidance) system is employed to compensate for the limitations of individual seekers such as RF (Radio frequency) or IIR (Imaging Infra-red) and to improve the overall tracking and guidance performance in jamming, clutter, and adverse weather environments. In the MTG system, tracking filter, data association, and data fusion methods are important elements to maximize the effectiveness of precision homing missile guidance. This paper proposes the formulation of a Kalman filter for the estimation of line-of-sight rate from seeker measurements in missiles guided by proportional navigation. Also, we suggest the HPDA (Highest Probability Data Association) and data fusion methods of the MTG system for target tracking in the adverse environments. Mont-Carlo simulation is employed to evaluate the overall tracking performance and guidance accuracy.

A Goodness of Fit Approach for Testing NBUFR (NWUFR) and NBAFR (NWAFR) Properties

  • Mahmoud, M.A.W.;Alim, N.A. Abdul
    • International Journal of Reliability and Applications
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    • 제9권2호
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    • pp.125-140
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    • 2008
  • The new better than used failure rate (NBUFR), Abouammoh and Ahmed (1988), and new better than average failure rate (NBAFR) Loh (1984) classes of life distributions, have been considered in the literature as natural weakenings of NBU (NWU) property. The paper considers testing exponentiality against strictly NBUFR (NBAFR) alternatives, or their duals, based on goodness of fit approach that is possible in life testing problems and that it results in simpler procedures that are asymptotically equivalent or better than standard ones. They may also have superior finite sample behavior. The asymptotic normality are proved. Powers, Pitman asymptotic efficiency and critical points are computed. Dealing with censored data case also studied. Practical applications of our tests in the medical sciences are present.

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Seismic protection of LNG tanks with reliability based optimally designed combined rubber isolator and friction damper

  • Khansefid, Ali;Maghsoudi-Barmi, Ali;Khaloo, Alireza
    • Earthquakes and Structures
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    • 제16권5호
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    • pp.523-532
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    • 2019
  • Different types of gas reservoir such as Liquid Natural Gas (LNG) are among the strategic infrastructures, and have great importance for any government or their private owners. To keep the tank and its contents safe during earthquakes especially if the contents are of hazardous or flammable materials; using seismic protection systems such as base isolator can be considered as an effective solution. However, the major deficiency of this system can be the large deformation in the isolation level which may lead to the failure of bearing system. In this paper, as a solution, the efficacy of an optimally designed combined vibration control system, the combined laminated rubber isolator and rotational friction damper, is investigated to evaluate the enhancement of an existing metal tank response under both far- and near-field earthquakes. Responses like impulsive and convective accelerations, base shear, and sloshing height are studied herein. The probabilistic framework is used to consider the uncertainties in the structural modeling, as well as record-to-record variability. Due to the high calculation cost of probabilistic methods, a simplified structural model is used. By using the Mont-Carlo simulation approach, it is revealed that this combined isolation system is a highly reliable system which provides considerable enhancement in the performance of reservoir, not only leads to the reduction of probability of catastrophic failure of the tank but also decrease the reservoir damage during the earthquake. Moreover, the relative displacement of the isolation level is controlled very well by this combined system.

범주형 자료의 결측치 추정방법 성능 비교 (Comparing Accuracy of Imputation Methods for Categorical Incomplete Data)

  • 신형원;손소영
    • 응용통계연구
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    • 제15권1호
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    • pp.33-43
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    • 2002
  • 범주형 데이터의 결측치 추정을 위하여 최빈 범주법, 로지스틱 회귀분석, 연관규칙과 같은 다양한 방법이 연구되어 왔다. 본 연구에서는 이러한 방법의 추정 값을 결합하는 신경망 융합과 투표융합 방법을 제안하고 이의 성능을 시뮬레이션을 이용하여 비교하였다. 실험에 사용된 데이터의 특성을 나타내는 인자로는 (1) 입출력 변수간의 연결함수, (2) 데이터의 크기, (3) 노이즈의 크기 (4) 결측치의 비율, (5) 결측발생 함수를 사용하였다. 분석결과는 다음과 같다. 데이터의 크기가 작고 결측 발생 비율이 높으면 최빈 범주법, 연관규칙, 신경망 융합의 성능이 높게 나타났으며 데이터의 크기가 작고 결측발생 확률이 결측이 안된 나머지 변수에 높은 의존관계가 있으면 로지스틱 회귀분석, 신경망 융합의 성능이 높게 나타났다. 데이터의 크기가 크고, 결측치의 비율이 낮으면서, 노이즈가 크고 결측발생 확률이 결측이 안된 나머지 변수에 높은 의존관계가 있으면 신경망 융합의 성능이 높게 나타났다.