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This paper presents a hierarchical architecture for the realization of teams of intelligent autonomous ground vehicles called Adaptation and Learning at All Levels (AL2).
Recently, in 2005, Charayaphan Charoensak and Farook Sattar [ 97] designed an efficient FPGA hardware architecture for the realization of a real-time BSS.
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As a result of the particular architecture proposed for the realization of the function synthesizer structure, it presents a low-voltage operation (a minimal supply voltage of IV for an implementation in the mentioned technology).
A distributed peer-to-peer architecture is proposed for the realization of the proposed resource discovery framework.
If the hardware architecture is required for the realization of H.264 encoder, these algorithms are usually not regarded as the efficient solution.
In this context, the article presents the architecture of a system for the realization of Virtual Sensor Networks (VSNs).
This simple architecture has strong potential for the realization of fully printed resistive gas sensors and can be implemented as well in clean room processed transducers.
Our scope is to implement a low-power, area-efficient autonomously reconfigurable digital signal processing architecture that is tailored for the realization of arbitrary response FIR filters using Xilinx FPGAs.
See section 3 for more details regarding both the architecture and the realization of this federation mechanism.
The generality of the architecture permits the realization of networks with practically any size or topologies.
In this paper, we propose an open, virtual, multi-services networking architecture enabling the realization of our business model.
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