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It achieves optimal hardware utilisation with minimal combinational logic block slices and high frequency of operation.
Hence, this paper is a demonstration of the viability and utility of visual servoing in a less than optimal hardware environment.
The process of determining the optimal hardware and software architecture for such processors includes issues involving resource allocation and partitioning.
The implementation of the control systems on FPGA by using optimal hardware resources is one of the challenging research areas in control engineering.
Analysis reinforces that architecture, featuring a specialpurpose multithreaded processing engine, optimal hardware assist blocks, and streamlined interfaces, coupled with a simplified programming model, provides the necessary performance and flexibility.
A finite element analysis (FEA) technique has been developed to study the biomechanics of the clinical scenarios managed after surgical resection of a tumour or severe trauma to assist in choosing the optimal hardware elements.
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To implement the hyperchaotic Lorenz generator, we use an optimal VHDL hardware structural description of the RK-4 method described by the flowchart in Figure 2.
Till date to the authors' knowledge, optimal-in-hardware implementation of such an application-specific controller and the study of its various modules were not explored in details by earlier research.
We also present a framework to explore the design space for optimal design parameters (hardware core parameters) so that an efficient neuro-fuzzy hardware in terms of area, power consumption, and performance (delay) can be selected.
Spiking Neural Networks (SNN) have optimal characteristics for hardware implementation.
Figure 2: This GridForm model of a village in Bihar, India, shows the optimal layout of hardware for the load profiles of the community.
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CEO of Professional Science Editing for Scientists @ prosciediting.com