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A Monte Carlo based analysis of optimal design criteria

A Monte Carlo based analysis of optimal design criteria

... regression analysis [13, 23] and is often employed in development of ideas (asymptotic distribution theory, statistical comparison tests, ...of optimal design research (see [19, 20, 24] and the ... See full document

39

Monte Carlo Analysis of the Human Vertebra Based on Compressive Loading

Monte Carlo Analysis of the Human Vertebra Based on Compressive Loading

... deterministic analysis. A Monte Carlo Simulation (MCS) technique was performed to conduct the probabilistic analysis using a built-in parametric design language (APDL) ... See full document

5

Monte-Carlo Based Optimal Control Strategy Through State Estimator in Autonomous Space Systems

Monte-Carlo Based Optimal Control Strategy Through State Estimator in Autonomous Space Systems

... presented based upon an integration of low and high thrusts levels in connection with a band of parameters uncertainties and disturbances to handle the dynamics and its kine- matics of the space ...through ... See full document

20

Balancing stakeholder goals in structural fire design of steel framed buildings

Balancing stakeholder goals in structural fire design of steel framed buildings

... deterministic analysis were considered in defining their respective probabilistic ...by Monte Carlo ...2010) based on the inherent variabilities of loading actions in ... See full document

287

Multilevel and quasi Monte Carlo methods for uncertainty quantification in particle travel times through random heterogeneous porous media

Multilevel and quasi Monte Carlo methods for uncertainty quantification in particle travel times through random heterogeneous porous media

... of an ODE (the transport equation (2.4)) which uses a solution of a PDE with random inputs (equation (2.2)). Multilevel methods have been proved [2] to reduce significantly the classical MC asymptotic computational cost ... See full document

19

A Monte Carlo Based Robustness  Optimization Method in New Product Design Process: A Case Study

A Monte Carlo Based Robustness Optimization Method in New Product Design Process: A Case Study

... Sensitivity Analysis of Response Variables and Constraints in Figure 3 that the signifi- cant impact factors of volume function f of pressure container are H (positive correlation) and R (positive correlation) in ... See full document

11

Optimal Mortgage Refinancing Based on Monte Carlo Simulation

Optimal Mortgage Refinancing Based on Monte Carlo Simulation

... From Table I, we have seen that the best refinancing month is considerably more possibly located in the earlier time. But how early is still a problem deserving careful analysis. The duration of the first 90 ... See full document

11

New insights on spectroscopy and properties of light hadrons with COMPASS

New insights on spectroscopy and properties of light hadrons with COMPASS

... The basic concepts of the Partial-Wave Analysis (PWA) applied to the COMPASS data will be ex- plained by means of the diffractively produced three-pion systems. In this process the incoming negatively charged beam ... See full document

6

A Monte Carlo localization method based on differential evolution optimization applied into economic forecasting in mobile wireless sensor networks

A Monte Carlo localization method based on differential evolution optimization applied into economic forecasting in mobile wireless sensor networks

... Range-based localization requires additional hardware and power consumption, so nodes can achieve accurate positioning resolution. However, the demand to reduce hardware dependency and energy cost has been the ... See full document

9

Ultra-fast Carrier Transport Simulation on the Grid. Quasi-Random Approach

Ultra-fast Carrier Transport Simulation on the Grid. Quasi-Random Approach

... Quasi-Monte Carlo methods and algorithms proved to be efficient in many areas ranging from physics to ...quasi-Monte Carlo algorithm), and, (ii) the Grid implementation which needs parallel ... See full document

11

A new Monte Carlo mobile node localization algorithm based on Newton interpolation

A new Monte Carlo mobile node localization algorithm based on Newton interpolation

... phase based on RSSI-MCL algorithm, the position probability distribution of moment k is only related to the position of the moment k − 1 and the maximum or minimum velocity, and do not taking into account the ... See full document

8

Monte Carlo Simulation for Statistical Decay of Compound Nucleus

Monte Carlo Simulation for Statistical Decay of Compound Nucleus

... to the all possible final states, the next state ((Z , A − 1 , E 0 x ), for example) is determined by a random sampling technique. We repeat this procedure until the nucleus reaches one of the discrete levels. At each ... See full document

10

Robustness analysis of signaling transduction networks based on Monte-Carlo method

Robustness analysis of signaling transduction networks based on Monte-Carlo method

... D ep artm ent of A utom a tion, No rth U n ive rsity of Ch ina, Taiyuan Shanxi 030051, China A BSTRACT: The dynam ic behavio rs of ce ll system we re deep ly affec ted by struc tu ral c[r] ... See full document

5

A simple approach to study the performance of electron Monte Carlo algorithm in cancer treatment using medical Linear Accelerator

A simple approach to study the performance of electron Monte Carlo algorithm in cancer treatment using medical Linear Accelerator

... done based on empirical functions that utilized ray line geometries and assumed broad beam dose distributions in homogeneous media ...was based on Gaussian pencil beam distributions obtained from multiple ... See full document

11

Monte Carlo methods

Monte Carlo methods

... If the choice of q is not obvious, we recommend the use of an adaptive strategy, such as population Monte Carlo. A description of population MC and an application to model selection in cosmology can be ... See full document

21

Reliability and Fault Tolerance of Ultra Low Voltage High Speed Differential CMOS

Reliability and Fault Tolerance of Ultra Low Voltage High Speed Differential CMOS

... quence the gate oxide becomes thinner, resulting in a in- creased leakage from the floating-gates. This leakage sets boundaries for the operating frequency, both concerning the high and low cut-off. As a countermeasure for ... See full document

5

A Geant4-based Monte Carlo study of a benchtop multi-pinhole X-ray fluorescence computed tomography imaging

A Geant4-based Monte Carlo study of a benchtop multi-pinhole X-ray fluorescence computed tomography imaging

... In this study, a Geant4-based model was developed for multi-pinhole imaging of GNPs using a fan beam of poly- chromatic X-rays. Various pinhole diameters (3.7, 2, 1, 0.5 and 0.25 mm), GNP concentrations (1, 0.5, ... See full document

10

Symmetry, regression design, and sampling distributions

Symmetry, regression design, and sampling distributions

... Further, it implies that where a Monte Carlo experiment based on a symmetric covariate design generates skewed sampling distribu- tions, the skewness can be eliminated by setting regress[r] ... See full document

14

Life-cycle risk (damage stability) management of passenger ships

Life-cycle risk (damage stability) management of passenger ships

... Establishing on a life-cycle perspective, the framework comprises three dominate phases in the life of a ship, namely design, operation, and emergency. The operation stage defined here is from an incident happened ... See full document

7

A Data Association Algorithm for Multiple Object Tracking in Video Sequences

A Data Association Algorithm for Multiple Object Tracking in Video Sequences

... larities of visual tracking based on different features such as colour and motion. In vision tracking there are no measurements in explicit form. It is computa- tionally expensive to obtain external measurements ... See full document

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