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Chapter and Conference Paper
Automation of a Universal Testing Machine for Measuring Mechanical Properties in Textile Fibers
The purpose of this paper is to design a control system to perform tensile and compression tests on textile fibers and sponges in a universal testing machine. In order to design the control system, a supervis...
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Chapter and Conference Paper
Design and Evaluation of a Heuristic Optimization Tool Based on Evolutionary Grammars Using PSoCs
Currently, the evolutionary computing techniques are increasingly used in different fields, such as optimization, machine learning, and others. The starting point of the investigation is a set of optimization ...
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Chapter and Conference Paper
Monitoring Implementation for Spiking Neural Networks Architecture on Zynq-7000 All Programmable SoCs
This paper describes a Spiking Neural Networks (SNN) architecture mapped on a Zynq-7000 family of programmable system-on-chip (SoC) devices. The novel spike monitoring system based on AER Protocol, uses AXI4 S...
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Chapter and Conference Paper
Characterizing High-Speed Serial Transceivers for a Multi-processor Parallel Architecture
Emulation of large scale neural networks is a growing research field that tries to understand how the brain works. Different approaches based on hardware and software have been developed for this purpose. How...
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Chapter and Conference Paper
Acceleration of Evolutionary Grammar Using an MISD Architecture Based on FPGA and Petalinuxs
The evolutionary grammars are part of the optimization methods and searching for solutions based on the biological evolution postulates. The proposed technique is based on the genetic recombination’s concept ...
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Chapter and Conference Paper
Real-Time Display of Spiking Neural Activity of SIMD Hardware Using an HDMI Interface
Spiking neural networks (SNN) are considered the third generation of artificial networks and are powerful computational models inspired by the function and structure of biological neural networks, to solve dif...
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Chapter and Conference Paper
Real-Time Adaptive Physical Sensor Processing with SNN Hardware
Spiking Neural Networks (SNNs) offer bioinspired computation based on local adaptation and plasticity as well as close biological compatibility. In this work, after reviewing the Hardware Emulator of Evolving ...