Missions to planets with unknown environmental condition, have recently been approached with new ideas, such as use of biology-inspired mechanisms for hardware sensor adaptation. In this paper we describe the initial development of efficient mechanisms for smart sensing which will lead to higher quality data. The self-reconfigurable pre-processing analog electronics is based on evolvable hardwa...

With great pleasure, we would like to welcome you to this special issue of the International Journal of Knowledge-based and Intelligent Engineering Systems. The motivation of its selected topic – Adaptive Hardware/Evolvable Hardware – the State of the Art and the Prospectus for Future Development – is deeply justified. Nevertheless, it is hardware implementation of the most benefit for the soci...

Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraints solving, determinization, state machine minimization, structural mapping, functional decomposition of multi-valued logic functions and relations, and finally, FPGA mapping. In our approach, learning takes place on th...

A biologically inspired neuromolecular architecture implemented on digital circuits is proposed in this paper. Digital machines and biological systems provide different modes of information processing. The former are designed to be effectively programmable, whereas the latter have self-organizing dynamics. Previously, we developed a multilevel computer model that captures intraand interneuronal...

In the realm of analog evolvable hardware, the potential of a coarse-grained, topological search approach which employs intrinsic testing has been unexplored to date. Our evolvable hardware design platform named GPIC (i.e. Genetic Programming of Intrinsic Circuits) is designed for this approach which makes it suitable for adaptive, fault tolerant system design as well as CAD flow applications. ...

Brain-inspired computing takes inspiration from the brain to create energy-efficient hardware systems for information processing, capable of performing highly sophisticated tasks. Systems built with emerging electronics, such as memristive devices, can achieve gains in speed and energy by mimicking distributed topology brain. In this work, a brain-inspired architecture evolutionary algorithms i...

This paper presents a novel evolvable hardware framework for the automated design of digital circuits for high performance applications. The technique evolves circuits corresponding to each specific output, under restricted functionality and timing constraints. The individual circuits are then processed to generate the completed circuit. Applications have focused on the design of multi-output a...

Today’s irreversible computing style, in which bits of information are routinely wiped out (e.g. a NAND gate has 2 input bits, and only 1 output bit), cannot continue. If Moore's Law remains valid until 2020, as many commentators think, then the heat generated in molecular scale circuits that Moore's Law will provide, would be so intense that they will explode [Hall 1992]. To avoid such heat ge...

29 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd. AbstractThis research verify and describes a Virtual Reconfigurable Circuit (VRC) that designed and implemented for a Fault Tolerant Evolvable Hardware (EHW) system used to calculate the thermal power output of Egypt’s second Training and Research Reactor (ETRR2) during operation. This circuit have three measur...