A nonlinear gyrokinetic simulation model incorporating equilibrium current has been formulated for studying kinetic magnetohydrodynamic processes in magnetized plasmas. This complete formulation enables gyrokinetic simulation of both pressure-gradient-driven and current-driven instabilities as well as their nonlinear interactions in multiscale simulations. The gyrokinetic simulation model recov...

RetinotopicNET is an efficient simulator for neural architectures with retinotopic-like receptive fields. The system has two main characteristics: it is event-driven and it takes advantage of the retinotopic arrangement in the receptive fields. The dynamics of the simulator are driven by the spike events of the simple integrate-and-fire neurons. By using an implicit synaptic rule to represent t...

We present a trajectory extraction and behavior-learning algorithm for data-driven crowd simulation. Our formulation is based on incrementally learning pedestrian motion models and behaviors from crowd videos. We combine this learned crowd-simulation model with an online tracker based on particle filtering to compute accurate, smooth pedestrian trajectories. We refine this motion model using an...

In the paper production planning and simulation systems integration has been presented. The integration process is executed using the method of data-driven modelling. The process of automatic generation of simulation models is realized in two stages data mapping to indirect data model and data transformation from this data model to the code of the simulation system internal programming language...

accurate forecasting of streamflows has been one of the most important issues as it plays a key role in allotment of water resources. river flow simulations to determine the future river flows are important and practical. given the importance of flow in the coming years, in this research three stations: haji qooshan, ghare shoor and tamar in gorganrood cachment were simulated in 2002-2011. to s...

Model-based approach is widely adopted to develop embedded system to cope with the everincreasing complexity of system design under relentless time-to-market pressure. In this paper we present our experience of H.264 decoder algorithm specification and simulation with two model-based design environments, Simulink and PeaCE. Formal data-driven model of PeaCE can specify multi-rate DSP systems mo...

A novel new event-driven MOS timing simulator for VLSI circuits, EMOTA, is presented. The traditional event-driven simulation scheme used in logic simulation is modified for use in this circuit level timing simulator. The fast performance is due to the result of mixing the new derived event-driven algorithm and its associated time-wheel control mechanism, together with the unidirectional nonlin...

We propose to use uid model based time-driven simulation to simulate high speed networks. For single class uid in feedforward networks, we prove that the error introduced by discretizing a uid model is within a deterministic bound proportional to the discretization interval length and is not related to the network size. We show that uid simulation ooers the exibility to trade accuracy for eecie...

Bulk-driven MOSFET technique meets the low-voltage and low-power requirements demanded in the modern analog circuit design. Due to submicron/nanometer technologies and critical short-channel effects, choosing a suitable MOSFET model for circuit design becomes increasingly important. However, the conventional MOSFET models normally set up for the typical gate-driven applications may not perform ...

The paper addresses the problem of the cycle-based simulation performance of synchronous digital systems modeled by the High-Level Decision Diagrams (DDs). A new class of DD representation, called Register-Oriented DDs (RODD) is introduced. RODD model appears to be an efficient and compact representation of the system behavior for the high-level cycle simulation. In order to f i l ly exploit th...