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Models of plant architectural development based on Lindenmayer systems (L-systems) serve as dynamic platforms for simulation of insect movement, providing an explicit model of the developing 3D structure of a plant as well as allowing physiological processes associated with plant growth and responses to damage to be described and simulated.
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Various components were described and simulated with help of mock simulation software.
The beam bending distance depended on the ion energy and was described and simulated.
Comparisons of diffraction efficiency and polychromatic integral diffraction efficiency (PIDE) with different periods are described and simulated with extended scalar diffraction theory and scalar diffraction theory.
The whole compression circuitry has been described and simulated at HDL level for up to 4 consecutive images, obtaining consistent results.
In this paper, a modified adaptive neural network for the compensation of deadzone is described, and simulated on a hydraulic positioning system, in which the dynamic model is separated into a series of connection of a nonlinear (deadzone) subsystem and a linear plant.
A steady state, one-dimensional, multi-component and thermal model is described and applied to simulate the operation of a passive direct methanol fuel cell.
A detailed VSC-HVDC system is described and used to simulate a number of fault scenarios in the system.
A new code is described and applied to simulate uncertain solutions of the Euler equations and ideal magnetohydrodynamics (MHD) equations.
The procedure for designing the fuel cell system installation as co-generation system is described, and the system is simulated for a specific building in Sweden during 1 year.
Then, a practical UEP code rate assignment using R-S codes is presented in Sec. 3. In Sec. 4, the Monte Carlo simulation setup is described, and the results of several simulated scenarios are presented and discussed.
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