breaking waves have ability to transport large quantities of sediment and significant impact on coastal structures morphology. hence, modeling of wave breaking is an important subject in coastal and marine engineering. in this research, the periodic wave breaking process on a plane slope is studied experimentally and numerically. laboratory experiments were conducted to record water surface ele...

This paper presents an approach of model-based diagnosis for the health monitoring of hybrid systems. These systems have both continuous and discrete dynamics. Modified Particle Petri Nets, initially defined in the context of hybrid systems mission monitoring, are extended to estimate the health state of hybrid systems. This formalism takes into account both uncertainties about the system knowl...

Numerical simulations were performed of a turbulent gas-particle multiphase flow in a circulating fluidized bed riser using a hard-sphere discrete particle model (DPM) for the particle phase and the Navier-Stokes equations for the gas phase, where the subgrid scale stresses (SGS) were modeled with the SGS model proposed by Vreman. The model enables the simulation of systems with an arbitrary pa...

This paper proposes a discrete-time repetitive optimal control of electrically driven robotic manipulators using an uncertainty estimator. The proposed control method can be used for performing repetitive motion, which covers many industrial applications of robotic manipulators. This kind of control law is in the class of torque-based control in which the joint torques are generated by permanen...

Hidden Markov Model is a popular statisical method that is used in continious and discrete speech recognition. The probability density function of observation vectors in each state is estimated with discrete density or continious density modeling. The performance (in correct word recognition rate) of continious density is higher than discrete density HMM, but its computation complexity is very ...

Particle Scale Reservoir Mechanics — This paper summarizes some developments and applications of discrete particle modelling based on the commercial code PFC (Particle Flow Code). The following examples with relevance to geomechanical reservoir behaviour are described: – Numerical and experimental results are shown illustrating nonlinear evolution of depletion-induced compaction and stress path...

We study the spectrum of appropriate reduced density matrices for a model consisting of one quantum particle ("electron") in a classical fluid (of "protons") at thermal equilibrium. The quantum and classical particles interact by a shortrange, attractive potential such that the quantum particle can form "atomic" bound states with a single classical particle. We consider two models for the class...

In this paper propose a denoising method for reducing noise in digital images. An efficient RaoBlackwellized Particle Filter (RBPF) with maximum likelihood Estimation approach is used for improving the learning stage of the image structural model and guiding the particles to the most appropriate direction. It increases the efficiency of particle transitions. The proposal distribution is compute...

We assume that a single particle of mass m cannot be localized to better than +h/2mc. Using our understanding of finite and discrete measurement accuracy, the single particle transition in 1+1 space-time from (O, O) to (z, t) can then be characterized by a scale factor N and two integers r, 1defined by z = N(r – l)h/mc and ct = N(r + l)h/mc 2. The average velocity over this finite interval is v...