Aerospace Sensor Component and Subsystem Investigation and Innovation-2 Component Exploration and Development (ASCII-2 CED). Delivery Order 0005: Reconfigurable Processing With Bio-Inspired Embedded Systems On A Chip

Abstract

The idea of exploring the multidimensional characteristics biocomputing deals with involves a multilevel protein logic interaction with hybrid analog and digital systems (bio/digital/analog systems). In the protein biocomputing world, all models are nonlinear exponential in nature. These nonlinear systems are linearized by boundary limited frequency, time response and dimensional ranges. The protein model and its correct development is probably the most difficult aspect for biocomputing issues. These future computing devices will be chemical sensors, fluidic computer systems, optical switches, nanoactuators, self-repairing computing systems, nanorobots and reusable analog components. Noise reduction techniques for these systems involve spiking neural network techniques for data extraction. Reusable Analog Integrated Circuit Components are needed for hardware signal processing and for System-on-A-Chip (SoC) Integration. These include: Microwave Operational Amplifier(s); Switched Capacitor Filters; and Voltage References. During this research period, the analog design efforts have been focused on re-configurable microwave Op-Amp. A prototype 0.18 CMOS SOI design structure fort RF high-gain op-amp was submitted for prototype implementation.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2005
Accession Number
ADA442059

Entities

People

  • Hoda S. Abdel-aty-zohdy

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Application-Specific Integrated Circuits
  • Complementary Metal-Oxide Semiconductors
  • Computer Programming
  • Computers
  • Computing Devices
  • Detection
  • Detectors
  • Frequency
  • Integrated Circuits
  • Mathematical Models
  • Neural Networks
  • Neurons
  • Semiconductors
  • Signal Processing
  • Three Dimensional
  • Two Dimensional

Readers

  • Integrated Circuit Design and Technology.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • Space