• 제목/요약/키워드: lifetime models

검색결과 147건 처리시간 0.021초

유효갱신기간에 기반한 가변 데드레코닝 알고리즘 (An Adaptive Dead Reckoning Algorithm using Update Lifetime)

  • 유석종;정혜원;최윤철
    • 한국멀티미디어학회:학술대회논문집
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    • 한국멀티미디어학회 2000년도 춘계학술발표논문집
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    • pp.449-452
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    • 2000
  • This paper proposes a new, adaptive Dead Reckoning model, called Dynamic Dead Reckoning , for Distributed Interactive Simulation and humanoid avatar systems. The proposed model can overcome the weak points of traditional Dead Reckoning caused by a fixed threshold and strong dependency on rotation event. This paper introduces new criteria for update message filtering , named as Update lifetime. The Dynamic Dead Reckoning keeps the balance between extrapolation fidelity and filtering performance by two component models, Variable Threshold Mechanism and Rotation Event model. The experimental results show that the proposed model can lower the increment rate of update traffic to the increase of rotation frequency without any significant loss of accuracy.

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A Note on the Efficiency Based Reliability Measures for Heterogeneous Populations

  • Cha, Ji-Hwan
    • Communications for Statistical Applications and Methods
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    • 제18권2호
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    • pp.201-211
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    • 2011
  • In many cases, populations in the real world are composed of different subpopulations. Furthermore, in addition to the heterogeneity in the lifetimes of items, there also could be the heterogeneity in the efficiency or performance of items. In this case, the reliability measures should be defined in a different way. In this article, we consider the mixture of stochastically ordered subpopulations. Efficiency based reliability measures are defined when the performance of items in the subpopulations has different levels. Discrete and continuous mixing models are studied. The concept of the association between the lifetime and the performance of items in subpopulations is defined. It is shown that the consideration of efficiency can change the shape of the mixture failure rate dramatically especially when the lifetime and the performance of items in subpopulations are negatively associated. Furthermore, the modelling method proposed in this paper is applied to the case when the stress levels of the operating environment of items are different.

SUMRAY: R and Python Codes for Calculating Cancer Risk Due to Radiation Exposure of a Population

  • Michiya Sasaki;Kyoji Furukawa;Daiki Satoh;Kazumasa Shimada;Shin'ichi Kudo;Shunji Takagi;Shogo Takahara;Michiaki Kai
    • Journal of Radiation Protection and Research
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    • 제48권2호
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    • pp.90-99
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    • 2023
  • Background: Quantitative risk assessments should be accompanied by uncertainty analyses of the risk models employed in the calculations. In this study, we aim to develop a computational code named SUMRAY for use in cancer risk projections from radiation exposure taking into account uncertainties. We also aim to make SUMRAY publicly available as a resource for further improvement of risk projection. Materials and Methods: SUMRAY has two versions of code written in R and Python. The risk models used in SUMRAY for all-solid-cancer mortality and incidence were those published in the Life Span Study of a cohort of the atomic bomb survivors in Hiroshima and Nagasaki. The confidence intervals associated with the evaluated risks were derived by propagating the statistical uncertainties in the risk model parameter estimates by the Monte Carlo method. Results and Discussion: SUMRAY was used to calculate the lifetime or time-integrated attributable risks of cancer under an exposure scenario (baseline rates, dose[s], age[s] at exposure, age at the end of follow-up, sex) specified by the user. The results were compared with those calculated using another well-known web-based tool, Radiation Risk Assessment Tool (RadRAT; National Institutes of Health), and showed a reasonable agreement within the estimated confidential interval. Compared with RadRAT, SUMRAY can be used for a wide range of applications, as it allows the risk projection with arbitrarily specified risk models and/or population reference data. Conclusion: The reliabilities of SUMRAY with the present risk-model parameters and their variance-covariance matrices were verified by comparing them with those of the other codes. The SUMRAY code is distributed to the public as an open-source code under the Massachusetts Institute of Technology license.

64-절편 다행검출 CT 검사에서의 환자선량과 암 발생의 Lifetime Attributable Risk(LAR) 평가 (Radiation dose and Lifetime Attributable Risk of Cancer Estimates in 64-slice Multidetector Computed Tomography)

  • 강영한;박종삼
    • 한국콘텐츠학회논문지
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    • 제11권4호
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    • pp.244-252
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    • 2011
  • 본 연구는 임상에서 시행되고 있는 64 절편 다행검출 CT(MDCT)의 방사선량에 대해 알아보고 이 선량으로 인한 암 발생의 잠재적 위험(LAR)을 정량화하고자 하였다. CT 검사의 선량길이곱과 유효선량을 측정하였고, 이로 인한 암 발생 귀속위험은 미국 전리방사선의 생물학적효과 위원회 7차보고서를 이용하였다. 결과에서 두부 CT의 유효선량은 1.48mSv, 흉부 CT(조영제 포함)의 유효선량은 7.66mSv였으며, 복부 역동적 CT는 24.52mSv였다. 두부 CT의 LAR은 남성 7463명 중 1명, 여성 4926명 중 1명이었고, 흉부 CT(조영제포함)의 LAR은 남성 1449명 중 1명, 여성 952명 중 1명이었으며, 복부 역동적 CT는 남성 453명 중 1명, 여성 298명 중 1명이었다. 따라서 64 절편 MDCT 검사는 암발생위험과 무시할 수 없는 관련성이 있었고, 선량을 줄이기 위해 프로토콜 등을 조정하는 등의 세심한 노력을 기울여야 한다.

Risk Assessment of Exposure to Silica Dust in Building Demolition Sites

  • Normohammadi, Mohammad;Kakooei, Hossein;Omidi, Leila;Yari, Saeed;Alimi, Rasul
    • Safety and Health at Work
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    • 제7권3호
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    • pp.251-255
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    • 2016
  • Background: Building demolition can lead to emission of dust into the environment. Exposure to silica dust may be considered as an important hazard in these sites. The objectives of this research were to determine the amount of workers' exposure to crystalline silica dust and assess the relative risk of silicosis and the excess lifetime risk of mortality from lung cancer in demolition workers. Methods: Four sites in the Tehran megacity region were selected. Silica dust was collected using the National Institute for Occupational Safety and Health method 7601 and determined spectrophotometrically. The Mannetje et al and Rice et al models were chosen to examine the rate of silicosis-related mortality and the excess lifetime risk of mortality from lung cancer, respectively. Results: The amount of demolition workers' exposure was in the range of $0.085-0.185mg/m^3$. The range of relative risk of silicosis related mortality was increased from 1 in the workers with the lowest exposure level to 22.64/1,000 in the employees with high exposure level. The range of the excess lifetime risk of mortality from lung cancer was in the range of 32-60/1,000 exposed workers. Conclusion: Geometric and arithmetic mean of exposure was higher than threshold limit value for silica dust in all demolition sites. The risk of silicosis mortality for many demolition workers was higher than 1/1,000 (unacceptable level of risk). Estimating the lifetime lung cancer mortality showed a higher risk of mortality from lung cancer in building demolition workers.

A multi-level approach for the optimization of an ultrafiltration plant processing surface water

  • Zondervan, E.;Roffel, B.
    • Membrane and Water Treatment
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    • 제1권1호
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    • pp.61-74
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    • 2010
  • This paper will integrate models at different levels (from filtration, backwashing to chemical cleaning and membrane lifetime) that can be used to minimize overall operating costs of a dead-end ultra filtration process that is used for the purification of surface water. Integration of the models leads to a multi-level optimization problem (at different levels different objectives should be reached). This problem is solved as a MINLP. Systematic modelling and optimization of membrane systems is not extensively discussed in the scientific literature. In this paper the first steps are taken in the formulation of proper models and the use of systems engineering tools to come to real optimal operating conditions. The optimized variables are used to calculate fouling profiles which can subsequently be used as inputs for a control system that actually enforces the profiles to a real pilot plant.

B2B 거래에서 서술모델과 예측모델을 이용한 고객가치 산정 (Estimating Customer Value under B2B Environment Using Description and Prediction Models)

  • 박찬주;박윤선;주상호;유우연
    • 경영과학
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    • 제20권2호
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    • pp.135-149
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    • 2003
  • Developing a proper program for customer evaluation is one of the most imminent tasks to implement CRM (Customer Relationship Management). Design of the Customer Value model is an important key to the customer evaluation progrgm. This paper proposes two models for estimating Customer Value. The first one is a Description Model for Customer Value based on customer CSI (Customer Satisfaction Index) data. This model represents as quantitative numbers what customers feel from the company or the service. The second one is a Prediction Model which employs factor analysis and regression to predict customer value. This paper exploits the two models to evaluate Customer Value as well as for customer behavior prediction.

Statistical approach to a SHM benchmark problem

  • Casciati, Sara
    • Smart Structures and Systems
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    • 제6권1호
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    • pp.17-27
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    • 2010
  • The approach to damage detection and localization adopted in this paper is based on a statistical comparison of models built from the response time histories collected at different stages during the structure lifetime. Some of these time histories are known to have been recorded when the structural system was undamaged. The consistency of the models associated to two different stages, both undamaged, is first recognized. By contrast, the method detects the discrepancies between the models from measurements collected for a damaged situation and for the undamaged reference situation. The damage detection and localization is pursued by a comparison of the SSE (sum of the squared errors) histograms. The validity of the proposed approach is tested by applying it to the analytical benchmark problem developed by the ASCE Task Group on Structural Health Monitoring (SHM). In the paper, the results of the benchmark studies are presented and the performance of the method is discussed.

Statistical Inference of Some Semi-Markov Reliability Models

  • Alwasel, I.A.
    • International Journal of Reliability and Applications
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    • 제9권2호
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    • pp.167-182
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    • 2008
  • The objective of this paper is to discuss the stochastic analysis and the statistical inference of a three-states semi-Markov reliability model. Using the maximum likelihood procedure, the parameters included in this model are estimated. Based on the assumption that the lifetime and repair time of the system are gener-alized Weibull random variables, the reliability function of this system is obtained. Then, the distribution of the first passage time of this system is derived. Many important special cases are discussed. Finally, the obtained results are compared with those available in the literature.

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Estimation of Parameters in a Generalized Exponential Semi-Markov Reliability Models

  • El-Gohary Awad
    • International Journal of Reliability and Applications
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    • 제6권1호
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    • pp.13-29
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    • 2005
  • This paper deals with the stochastic analysis of a three-states semi-Markov reliability model. Using both the maximum likelihood and Bayes procedures, the parameters included in this model are estimated. Next, assuming that the lifetime and repair time are generalized exponential random variables, the reliability function of this system is obtained. Then, the distribution of the first passage time of this system is discussed. Finally, some of the obtained results are compared with those available in the literature.

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