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A relaxation oscillator is one of the applications of RC circuits. A neon lamp relaxation oscillator comprises a capacitor, a resistor, a voltage source, and a lamp. The lamp acts like an open circuit, with infinite resistance until the potential difference across the lamp reaches a specific voltage. At that voltage, the lamp acts like a short circuit with zero resistance, and the capacitor discharges through the lamp, thus producing light. Once the capacitor is fully discharged through the...
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Design Example: Frog Muscle Response01:14

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A Method for Growing Bio-memristors from Slime Mold
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Random number generator based on a memristive circuit.

Juan Polo1, Hans López1, Cesar Hernández2

  • 1Faculty of Engineering, Universidad Distrital Francisco José de Caldas, Bogotá D.C., Colombia.

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|February 26, 2024
PubMed
Summary
This summary is machine-generated.

This study details a hardware memristor random number generator. Over 60% of tested designs successfully produce random sequences with fractal properties for synthetic biology applications.

Keywords:
AttractorChaotic circuitFractalLong-range dependenceMemristorRandom number generator

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Area of Science:

  • * Electrical Engineering
  • * Chaos Theory
  • * Materials Science

Background:

  • * Memristors offer unique properties for electronic circuit design.
  • * Generating high-quality random numbers is crucial for secure communication and simulations.
  • * Previous random number generators have limitations in hardware implementation and fractal behavior.

Purpose of the Study:

  • * To investigate the hardware implementation of memristor-based random number generators.
  • * To analyze the monofractal and multifractal behavior of these generators.
  • * To assess the feasibility of using these generators as entropy sources in synthetic biology.

Main Methods:

  • * Detailed description of memristor components and selection criteria.
  • * Design and analysis of a chaotic circuit utilizing memristors.
  • * Processing of chaotic signals to generate discrete random sequences.
  • * Application of estimation tools to analyze sequence properties.

Main Results:

  • * Over 60% of proposed memristor combinations successfully generated random discrete sequences.
  • * The generated sequences exhibit long-range dependence.
  • * Both monofractal and multifractal behaviors were observed in the generated sequences.
  • * Successful hardware implementation of the random number generator.

Conclusions:

  • * Memristor-based chaotic circuits can effectively generate random sequences with fractal properties.
  • * The developed hardware system serves as a viable entropy source for synthetic biology.
  • * This research advances the integration of memristors into hardware for advanced random number generation.