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Our framework architecture implements the established MAPE-K control model for autonomic computing.
Our proposed distributed RPA architecture implements a simple ring network for particle routing.
This architecture implements the Co-Training algorithm and applies to the email domain.
The third architecture implements the SIRF as a distributed PF composed of several processing elements and central unit.
The architecture implements a continuous double action (CDA) algorithm for a real-time middleware.
The biologically inspired LIDA cognitive architecture implements GWT conceptually and computationally.
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The aim is to optimize the implementation of the SLAM algorithm on a low-cost and heterogeneous architecture implementing an SIMD coprocessor (NEON) and a DSP core.
The algorithm-architecture adequacy aims to optimize the implementation of the SLAM algorithm on a low-cost and heterogeneous architecture (implementing an ARM processor with SIMD coprocessor and a DSP core).
To achieve real-time performance, we designed a dedicated hardware architecture implemented in an FPGA.
Acceleration in hardware is achieved by a systolic array architecture implemented by Boukerche et al. [18].
The transmitter architecture implemented on the first FPGA circuit is presented in Figure 8.
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