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Energy current and computing.

Alex Yakovlev1

  • 1School of Engineering, Newcastle University, Newcastle upon Tyne, UK alex.yakovlev@ncl.ac.uk.

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|October 31, 2018
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Summary
This summary is machine-generated.

This study explores Oliver Heaviside's insights on energy and electrical networks to propose energy-modulated computing. This approach is applicable to energy-harvesting electronic systems, bridging electromagnetics and computation.

Keywords:
Oliver HeavisidePetri netselectromagnetismenergy currentenergy-modulated computingtransmission lines

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Area of Science:

  • Electrical Engineering
  • Computer Science
  • Applied Mathematics

Background:

  • Oliver Heaviside's "Electrical Papers" introduced novel perspectives on energy, current, and state changes in electrical networks.
  • Heaviside emphasized deriving mathematical methods from physical phenomena, a principle explored in this work.
  • The concept of energy-modulated computing is introduced, particularly for systems with energy harvesting.

Purpose of the Study:

  • To explore the implications of Heaviside's views on state changes in electronic circuits for computational processes.
  • To introduce a vision for energy-modulated computing applicable to energy-harvesting electronic systems.
  • To demonstrate the application of Heavisidian mathematical approaches to analyze computational circuits.

Main Methods:

  • Analysis of computational circuits modeled as loads on power sources.
  • Application of series expressions derived from spatio-temporal energy flow analysis.
  • Modeling processes like capacitive transmission line discharge through resistors and digital circuits using natural discretization.

Main Results:

  • Computational circuits are analyzed as loads on power sources, demonstrating energy-modulated computing principles.
  • Series expressions are used to explain the discharge of a capacitive transmission line through different loads.
  • Event-based models, specifically Petri nets, are shown to bridge electromagnetics and computing.

Conclusions:

  • Heaviside's perspective offers a framework for energy-modulated computing in electronic systems, especially those with energy harvesting.
  • The Heavisidian approach, utilizing series and natural discretization, provides effective methods for analyzing complex energy flows in circuits.
  • Petri nets serve as a valuable tool for integrating electromagnetic principles with computational models, highlighting causality.