Suggested Topics within your search.
Suggested Topics within your search.
- Examinations 2
- Licenses 2
- Pharmaceutical Preparations 2
- Pharmacology 2
- Physicians 2
- Biochemical Phenomena 1
- Biochemistry 1
- Chemistry, Inorganic 1
- Coloring books 1
- Differential equations 1
- Ethnology 1
- Fieldwork 1
- Human anatomy 1
- Methodology 1
- Pediatrics 1
- Pragmatics 1
- Research 1
- Sociology 1
- Study and teaching 1
- Translating and interpreting 1
-
5961
Accuracy and Uncertainty Analysis of PSBT Benchmark Exercises Using a Subchannel Code MATRA
Published 2012-01-01“…The DNBR prediction uncertainties for various DNB models were evaluated from a Monte-Carlo simulation for a selected steady-state condition.…”
Get full text
Article -
5962
Double extreme-cum-median ranked set sampling.
Published 2024-01-01“…The real-life data results align well with the Monte Carlo simulation outcomes. Due to its flexible ranking options, the newly proposed technique is suggested for heterogeneous and non-normal populations.…”
Get full text
Article -
5963
Regional Frequency Analysis of Extremes Precipitation Using L-Moments and Partial L-Moments
Published 2017-01-01“…We also perform a Monte Carlo simulation study to examine the sampling properties of L- and PL-moments. …”
Get full text
Article -
5964
Pseudorapidity distributions of charged hadrons in lead-lead collisions at sNN=5.36TeV
Published 2025-02-01“…Comparisons are made to various Monte Carlo event generators and to previous measurements of lead-lead and xenon-xenon collisions at similar collision energies. …”
Get full text
Article -
5965
Quantifying Uncertainty in State Estimation: The MoK-FoBS Method via Interval Analysis
Published 2025-01-01“…Employing simulation data derived from IEEE testing systems, it is verified through the Monte Carlo method that the MoK-FoBS method can estimate hard boundaries that invariably contain the true state values. …”
Get full text
Article -
5966
Advanced Method for Calculations of Core Burn-Up, Activation of Structural Materials, and Spallation Products Accumulation in Accelerator-Driven Systems
Published 2012-01-01“…The ALEPH2 Monte Carlo depletion code has two principal features that make it a flexible and powerful tool for reactor analysis. …”
Get full text
Article -
5967
Research on Performance of Fiber-Based Multiple Apertures Receiver System with PPM Modulation
Published 2021-06-01“…The performance of fi ber-based FSO with multiple apertures receiver system was studied for pulse position modulation (PPM) .Expressions of PPM modulated signal-to-noise ratio (SNR) and bit-error rate (BER) for fi ber-based FSO multiple apertures receiver system were presented based on the probability density function of Gamma-Gamma intencity distribution and non–central chisquare fi ber coupling effi ciency distribution under atmospheric infl uence.Selection combining (SC), equal gain combining (EGC) and maximum ratio combining (MRC) were considered to be three signal combining methods for multiple apertures receiver system.The BER performance of 4PPM modulted SC, EGC and MRC fi ber-based multiple apertures receiver system and single aperture receiver system with the same total aperture area were comparative analyzed by Monte Carlo simulation.The BER performance of fi ber-based multiple apertures receiver systems in 4PPM and 8PPM modulation modes were directly compared for diff erent combining methods.…”
Get full text
Article -
5968
Nonstationary Random Vibration Performance of Train-Bridge Coupling System with Vertical Track Irregularity
Published 2016-01-01“…By introducing the pseudo excitation algorithm into the train-bridge interaction dynamic system, expressions of the mean value, standard deviation, and power spectral density of the nonstationary random dynamic responses of bridge and vehicles are derived. Monte-Carlo simulations are implemented to validate the presented method. …”
Get full text
Article -
5969
Valuing Multirisk Catastrophe Reinsurance Based on the Cox–Ingersoll–Ross (CIR) Model
Published 2021-01-01“…Finally, the value of catastrophe reinsurance is derived and a sensitivity analysis of how stochastic interest rates and catastrophe dependence affect the values is performed via Monte Carlo simulations. The results obtained show that the catastrophe reinsurance value is the inverse relation between initial value of interest rate and average interest rate in the long run. …”
Get full text
Article -
5970
Optimization tool for small hydropower plant resource planning and development: A case study
Published 2022-09-01“…The opportunity to apply the Monte-Carlo method for the feasibility study is demonstrated…”
Get full text
Article -
5971
Analysis and Design of FeFET Synapse With Stacked-Nanosheet Architecture Considering Cycle-to-Cycle Variations for Neuromorphic Applications
Published 2024-01-01“…Using extensive Monte-Carlo simulations with a nucleation-limited-switching (NLS) ferroelectric model and considering cycle-to-cycle variations, this paper constructs and analyzes the intrinsic conductance (G<sub>DS</sub>) response of stacked-nanosheet FeFET synapses with emphasis on the challenging identical-pulse stimulation. …”
Get full text
Article -
5972
Trajectory Planning of Camellia Oleifera Pollen Picking Manipulators Based on an Improved Particle Swarm Optimization Algorithm
Published 2023-02-01“…In the Matlab software environment, the Monte Carlo method is used to solve the workspace of the end claw, and the point cloud image of the manipulator end workspace is obtained. …”
Get full text
Article -
5973
A Probabilistic Model for Evaluation of the Dynamic Behavior of a Concrete Gravity Dam considering the Fluid-Structure Interaction
Published 2023-01-01“…For this purpose, a program has been written in an APDL environment of Ansys software capable of dynamic analysis of a system and presenting probabilistic models. The Monte Carlo method with the LHS method has been applied for the probabilistic model, in which the essential parameters in the dam-reservoir interaction problem include excitation frequency, reservoir height, and reservoir length as input variables, and the effect of their changes on the hydrodynamic wave propagation process in the reservoir and the dynamic response of the dam are evaluated. …”
Get full text
Article -
5974
Fractional derivative in continuous-time Markov processes and applications to epidemics in networks
Published 2025-01-01“…We conclude verifying the proposed framework with Monte Carlo simulations.…”
Get full text
Article -
5975
Indoor Positioning in Wireless Local Area Networks with Online Path-Loss Parameter Estimation
Published 2014-01-01“…It is based on a Sequential Monte Carlo realization of the optimal Bayesian estimation scheme, whose functioning is improved by exploiting the Rao-Blackwellization rationale. …”
Get full text
Article -
5976
Single-epoch power positioning method for multi-beam LEO communication satellites
Published 2025-01-01“…It establishes a power observation equation system, initializes with the nearest neighbor algorithm, and refines with the least squares method. Monte Carlo simulations indicate that with good initial values, the method converges in under 10 iterations, achieving 88.06% availability at 20° elevation with errors of 5,331 m (vertical) and 8,798 m (horizontal), and a timing error of 205 μs. …”
Get full text
Article -
5977
A Probabilistic Assessment Model for Train-Bridge Systems: Special Attention on Track Irregularities
Published 2021-01-01“…Besides, compared to the Monte Carlo method, the high efficiency and the accuracy of this proposed model are validated. …”
Get full text
Article -
5978
Step-by-step classification detection algorithm of SPPM based on K-means clustering
Published 2022-01-01“…In view of the high computational complexity in spatial pulse position modulation systems when using maximum likelihood detection algorithm, a step-by-step classification detection algorithm based on K-means clustering was proposed according to the characteristics of signal matrix with spatial pulse position modulation.The signal vector detection algorithm was utilized to detect the index of light source in the training samples.The on K-means clustering algorithm was utilized to acquire the mapping rule between centroid of samples and modulated symbol by offline training.Subsequently, online detection of modulated symbols was achieved based on the mapping rule, and then the index of light sources was detected by exhaustive search.In addition, Monte Carlo method was used to investigate the effects of key parameters such as the number of clusters and initialization times on the system bit error rate (BER) performance.Simulation results demonstrate that the proposed algorithm can achieve an approximate BER performance as the maximum likelihood algorithm on the basis of greatly reducing the computational complexity.Compared with the linear decoding algorithms, the proposed algorithm is also applicable to scenarios where the number of detectors is less than the number of light sources.…”
Get full text
Article -
5979
-
5980