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5721
Path Planning for Spider Biomimetic Robot Leg based on Cubic Polynomial Interpolation Function with Midpoints
Published 2017-01-01“…The kinematics model of the robot leg is built with D-H modeling method,and the inverse kinematics equation is deduced. Based on Monte-Carlo method,the working space of the foot end is analyzed,and based on the cubic polynomial interpolation algorithm with midpoints for path planning of obstacle avoidance is simulated. …”
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5722
Immunization of Cooperative Spreading Dynamics on Complex Networks
Published 2021-01-01“…We also develop a generalized percolation theory to study the final state of the spreading dynamics. By using the Monte Carlo method, numerical simulations reveal that immunizing nodes with a large degree cannot always be beneficial for containing cooperative spreading. …”
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5723
Numerical Study of Hall Thruster Plume and Sputtering Erosion
Published 2012-01-01“…The model is based on three dimensional hybrid particle-in-cell and direct simulation Monte Carlo method (PIC/DSMC method) which is integrated with plume-wall sputtering yield model. …”
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5724
Identifying an Odour Source in Fluid-Advected Environments, Algorithms Abstracted from Moth-Inspired Plume Tracing Strategies
Published 2010-01-01“…First, we introduce the concept of the last chemical detection points that leads to construction of a source identification zone and development of two variations in the source identification algorithms. Second, we use Monte Carlo methods to optimise the proposed algorithms in a simulated environment. …”
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5725
Adsorption on Heterogeneous Surfaces with Simple Topographies
Published 2011-07-01“…The localized monolayer adsorption of interacting particles onto heterogeneous surfaces has been studied through Monte Carlo simulation in the framework of the lattice–gas model. …”
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5726
Research of High Precision Harmonic Drive with Short Flexspline of Heliostat in Solar Thermal Power
Published 2019-05-01“…Based on statistics and probability theory, transmission error is calculated and the sensitivity of error of parts is analyzed with the Monte Carlo method. The results show that the transmission precision can meet the requirements of the heliostat and the flexible wheel and the output rigid wheel have the greatest influence on the transmission precision. …”
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5727
Economic-Oriented Stochastic Optimization in Advanced Process Control of Chemical Processes
Published 2012-01-01“…The proposed framework is realized as direct search-type optimization of Monte-Carlo simulation of the controlled process. The concept is illustrated throughout by a well-known benchmark problem related to the control of a linear dynamical system and the model predictive control of a more complex nonlinear polymerization process.…”
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5728
Uncertainty Analysis of Mixing Efficiency Variation in Passive Micromixers due to Geometric Tolerances
Published 2015-01-01“…A probabilistic simulation model, based on the Monte Carlo method, is developed and implemented for this purpose. …”
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5729
Effect of cracking and randomness of inputs on corrosion initiation of reinforced concrete bridge decks exposed to chlorides
Published 2016-12-01“…The preliminary model for damage effect on chloride ion ingress through water proof membrane under penetrable asphalt overlay is used. 2-D finite element chloride ingress model is combined with Monte Carlo simulation technique. The innovative crack effect modeling via highly penetrable elements is applied. …”
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5730
Optical quantum positioning method based on random resampling of scattering free path
Published 2023-03-01“…To solve the problem that the quantum signal was disturbed by the scattering environment, which lead to large fluctuation of the positioning error and poor positioning robustness, an optical quantum positioning method based on random resampling of the scattering free path was proposed.The scattering model was established based on the Monte Carlo theory, and the scattering free path matrix was constructed by combining the environment information and coincidence counting results.The scattering free program was resampled, and the relative distance error of different light sources in different time groups was calculated.Based on that, the light sources were dynamically selected, and the position of the target object was estimated.Experimental results show that the positioning error of the proposed method can achieve the centimeter level, and the confidence probability of the positioning error within 0.12 m is 90.57%.…”
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5731
Evaluation of Wisconsin and CaPTHUS Indices Usefulness for Predicting Monoglandular and Multiglandular Disease in Patients with Primary Hyperparathyroidism through the Analysis of...
Published 2021-01-01“…A retrospective cohort study on 462 patients referred for parathyroidectomy to Thyroid and Parathyroid Unit at Santi Paolo e Carlo Hospital, Milan, Italy, from 2011 to 2021. …”
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5732
Uncertainty-aware diabetic retinopathy detection using deep learning enhanced by Bayesian approaches
Published 2025-01-01“…Bayesian approximation techniques, including Monte Carlo Dropout, Mean Field Variational Inference, and Deterministic Inference, were applied to represent the posterior predictive distribution, allowing us to evaluate uncertainty in model predictions. …”
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5735
Dual-Polarized Planar Phased Array Analysis for Meteorological Applications
Published 2015-01-01“…As the STSR mode with orthogonal waveforms is similar to the ATSR mode, the analysis is mainly focused on the ATSR mode and the impacts of the bias sources on the measurement of polarimetric variables are investigated through Monte Carlo simulations. Some insights of the accuracy requirements are obtained and summarized.…”
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5736
PHYSICAL LAYER SECRECY ON WIRELESS NETWORK
Published 2016-06-01“…We evaluate, analyse secrecy capacity, existence probability of secrecy capacity and secrecy outage probability and verify the numerical results with Monte-Carlo simulation results. Our results have presented the utility of using physical layer secrecy to enhance the secrecy performance of wireless networks.…”
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5737
A NEW FAILURE PROBABILITY COMPUTING METHOD FOR MECHANICAL COMPONENTS
Published 2020-01-01“…Two numerical examples are employed to illustrate the accuracy and efficiency of the proposed method and the second moment method by comparing the failure probability results.The results obtained by the proposed new method and the second moment method are compared with those obtained by Monte-Carlo Simulation( MCS) respectively. The results show that the new method can calculate the failure probability of mechanical components effectively.…”
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5738
Random Statistical Analysis of Transverse Momentum Spectra of Strange Particles and Dependence of Related Parameters on Centrality in High Energy Collisions at the LHC
Published 2022-01-01“…Taking into account the contribution of multiquark composition, whose probability density distribution is described by the modified Tsallis–Pareto-type function; we simulate the pT spectra of the final-state strange particles by a Monte Carlo method, which is shown to be in good agreement with the experimental data in most the cases. …”
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5739
The Multiple Scattering of Laser Beam Propagation in Advection Fog and Radiation Fog
Published 2023-01-01“…The characteristics of laser beam scattering in different types of fogs are studied based on the droplet size characteristics of advection fog and radiation fog, the scattering coefficients of droplets with different laser wavelengths(0.86 μm, 0.91 μm, 1.06 μm, 1.3015, and 10.6 μm) are calculated, the multi scattering of laser beam is studied by the Monte Carlo method, the propagation path and scattering direction of photons is analyzed, relations between asymmetry factor, albedo of fog droplets, and the visibility are presented, and the forward scattering intensity and the backward scattering intensity versus scattering angle are gotten and discussed.…”
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5740
A New Uncertain Analysis Method for the Prediction of Acoustic Field with Random and Interval Parameters
Published 2016-01-01“…The results show that the PCRS method is more efficient compared to the direct Monte Carlo simulation (MCS) method based on the original numerical model without causing significant loss of accuracy.…”
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