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We aim to adopt a heterogeneous network comprising different base-station types so that for different periods of the day, the most suitable architecture is deployed.
The proposed control architecture is deployed on a customized-designed nano manipulating system featured with a flexure beam structure and voice coil actuators (VCA).
As a consequence of these characteristics, the system architecture is deployed in two areas, the first of which is the area of infrastructure provided by the public transport system.
The proposed tracking control architecture is deployed on the novel parallel kinematics servo gantry system to achieve high precision contour tracking performance for frequency-varying signals generated by high order time-varying autonomous system.
In a discrete time setting, the high precision tracking control architecture is deployed on a Voice Coil Motor (VCM) actuated servo gantry system, where numerical simulations and real time experimental results are provided, achieving the tracking errors around 3.5‰ for frequency-varying signals.
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Since the communication system in high-speed railway scenario has a linear topology, the macro and small cells of C/U-plane decoupled architecture are deployed on a straight line with vertical distance of D to the rail as shown in Figure 2.
Dcm4chee is a clinical data manager system based on a J2EE (Alur et al., 2003) and JMX (Fleury and Lindfors, 2002) software architecture and is deployed within the JBoss Application Server.
The objective of this paper is to present the design of an architecture where a wireless sensor network is deployed to survey a large date palm forest.
Given this architecture it is conceivable that it is deployed as a defensive toxin against fungal or bacterial pathogens.
The electronic portal is deployed upon a standards-based, layered architecture, and is combined with a scanning and electronic document management (EDM) system.
In the proposed architecture, a DFNN- dynamic-fuzzy-neural-network-) baseDFNN- dynamic-fuzzy-neural-network-loyeDFNN- dynamic-fuzzy-neural-network-
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