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About 10,000 papers for “Discrete system”

Discrete System

Bulletin of Miscellaneous Information (Royal Gardens Kew)

Cited by 0

Discrete spectrometry system

C.H. Matamoros G., L. Leija S., P.R. Hernandez R. · 2002

A light emitting diode spectrometer has been developed replacing common optical devices in traditional instruments. Displays and plotters have been respectively replaced by a personal computer and a digitalization system. For signal processing, the desired discrete spectra of a solution is displayed directly on the computer.

Cited by 0

Discrete Global Grid System

Kevin Sahr, Denis White · 1998

A new class of spatial data structures called discrete global grid systems (DGGS’s) is introduced and the general application classes for it are discussed. DGGS’s based on subdivisions of the platonic solids, called Geodesic DGGS’s, are then introduced. A number of existing and proposed Geodesic DGGS’s are examined by looking at four design choices that must be made in constructing a Geodesic DGGS: the base platonic solid, the orientation of that solid relative to the earth’s surface, the method of subdivision defined on a face of that solid, and a method for relating that planar subdivision to the corresponding spherical surface. Finally, an examination of these design choices leads us to the construction of the ISEA3H DGGS.

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Discrete Event System Simulation

J. Vijayarangam, Santosh Kumar Kamalakannan, R. Sebasthi Priya · BENTHAM SCIENCE PUBLISHERS eBooks · 2024

Simulated systems are used for modelling and analysis of systems for which an analytical solution is either not accessible or difficult to achieve. Simulation is a highly flexible and adaptable discipline within computer science. Because it is simpler than conventional approaches, which are often challenging, simulation is also chosen as a method of system analysis. Because of this, simulation is an area with extensive application and demand, making it interesting and beneficial to have a chapter dedicated to researching simulation with a case study of modelling a Queuing system.

Cited by 1,039

Discrete Event System Models

Cristian Mahulea, Marius Kloetzer, Ramón González · 2019

This chapter introduces formally the discrete event system models used to solve different path-planning problems for a team of robots that should achieve a common goal. This goal is in general a high-level specification and, as mentioned in the previous chapters, the methods working on the continuous state space are difficult or even impossible to be applied. For this reason, once the state-space is discretized, graph-based algorithms and mathematical programming approaches can be applied to solve the planning problem. Two types of discrete models will be presented, which will be used in the following chapters to solve some particular problems. The first type of model is based on transition systems, mainly used for solving path-planning problems for a single robot or teams with few robots (usually 2 or 3). The second type of models are based on Petri nets that are scalable with respect to the number of robots.

Cited by 0