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The present hardware circuit was designed as a fast and energy efficient motor control system based on cerebellar oscillatory neuron activity and network dynamics.
Contrast-enhanced pulmonary perfusion can be routinely acquired on the present hardware.
With the present hardware technology, this approach is what is needed by GPR users to achieve the goal of real-time visualization of 3D migrated volumes.
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The presented hardware architecture and on-line software processing procedure can be applied in the real inspection system.
In this paper, the hardware syntheses and theoretical researches are given to illustrate the outstanding performance of the presented hardware implementation.
The presented hardware components are utilized as the core hardware devices for GAIA, an EU research project aimed at the educational community.
The presented hardware circuit is an application specific integrated circuit (ASIC) on 0.25 μm complementary mental oxide semiconductor (CMOS) process using three metal layers.
The presented hardware-based algorithm provides very good processing speed at the expense of accuracy, with very good scalability in terms of disparity levels.
Details of the present PCS hardware and software architecture along with descriptions of the latest enhancements will be given.
Because of the agent numbers and complexity challenges, the present day hardware architectures are unable to cope with the simulations and processing of these models.
The paper presents hardware results to support the analysis and proposes a systematic tuning method to retain the advantages of the force feedback control in the face of load variations.
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