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Design and Evaluation of Smart Glasses for Food Intake and Physical Activity Classification
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A matrix representation for sustainable activities.

A S Mahmud1, D S Zachary2

  • 1Krieger School of Arts and Sciences (Advanced Academic Programs), Johns Hopkins University, 1717 Massachusetts Ave., N.W., Washington, DC, 20036, USA.

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|February 10, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a matrix framework for assessing the sustainability of interconnected activities. It calculates renewable energy concentration across economic sectors to reduce non-renewable resource dependency.

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Area of Science:

  • Environmental Science
  • Economics
  • Systems Engineering

Background:

  • Assessing the sustainability of complex, interconnected activities is challenging.
  • Existing models may not adequately capture resource dependencies across economic sectors.

Purpose of the Study:

  • To develop a matrix framework for simultaneously evaluating the sustainability of multiple activities.
  • To quantify renewable energy usage and enhance energy efficiency within economic systems.

Main Methods:

  • Framing sustainability within an input-output model.
  • Employing an infinite layer approach to represent economic sectors and resources.
  • Calculating renewable energy concentration for individual activities.

Main Results:

  • The framework enables simultaneous sustainability assessment of diverse activities.
  • Quantification of renewable energy concentration across different economic sectors.
  • Identification of opportunities for enhancing energy efficiency.

Conclusions:

  • The matrix framework provides a robust method for analyzing complex sustainability issues.
  • The approach facilitates a deeper understanding of resource dependencies and energy conversion efficiencies.
  • Findings support strategies for reducing reliance on non-renewable resources.