This paper first proposes a methodology to assess the performances of such urban platoon of vehicles using different platooning algorithms, taking into account a real operational architecture which means communications delays, tasks jitters, data sampling and finite resources.
However, there has been some progress in developing both large sample and finite sample robustness of SEM parameters in handling non-normal data and outliers [ 25, 26].
However, in addition to the introduction of weight factors to encourage mass accuracy, we have taken into account the effect of finite sampling and finite skewness and have derived a new score distribution function replacing the Gaussian distribution assumed by [ 16].
For the computer simulation, CST Microwave Studio was used to simulate the absorption characteristics of the samples, and a finite element method (FEM) was used when conducting this simulation.
This paper presents a new reliability-based design approach to evaluate the performance of a composite tunnel lining using a modified Rosenblueth Point Estimate Method (PEM), First Order Reliability Method (FORM), Monte Carlo sampling method and finite element analysis.
In a relatively similar work, Langford and Diederichs (2013) presented a reliability-based design approach to evaluate the performance of a composite tunnel lining using a modified Rosenblueth point estimate method (PEM), first order reliability method (FORM), Monte Carlo sampling method and finite element analysis.
CIs accounted for sampling design and finite population correction factors.
Finally, combining the insight gained from the constructed sample holders and finite-element solutions, a third multi-lumen sample holder for a cylindrical TE011 cavity is optimized, named AquaSun, where simulations show an EPR signal intensity increase by a factor of 8.2 over a standard 1 mm capillary.
This work analyzes the temperature distribution inside the microwave-heated lignocellulosic biomass samples through experiments and finite element modeling.
In a practical imaging system subject to sampling, and considering finite extent signals in the freespace, what should be the counterpart of (5)?
