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Journal of Low Power Electronics and Applications, Volume 14, Issue 4

December 2024 - 13 articles

Cover Story: Resistance drift and variability are the critical challenges hindering the broader adoption of phase change memory (PCM) in neuromorphic computing. This paper presents a novel non-linear current scaling strategy that compensates drift in real time without memory refresh or retraining. Our design integrates current attenuators into a 28 nm FD-SOI spiking neural network (SNN), enhancing drift mitigation and sustaining classification accuracy on an MNIST dataset for up to two years. The experimental results and simulations demonstrated up to 57.8% drift reduction and less than 30 µW power consumption, offering a robust and scalable solution for low-power, neuromorphic systems. View this paper
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Articles (13)

  • Article
  • Open Access
3 Citations
3,831 Views
16 Pages

A Comparative Study of Electric Vehicles Battery State of Charge Estimation Based on Machine Learning and Real Driving Data

  • Salma Ariche,
  • Zakaria Boulghasoul,
  • Abdelhafid El Ouardi,
  • Abdelhadi Elbacha,
  • Abdelouahed Tajer and
  • Stéphane Espié

Electric vehicles (EVs) are rising in the automotive industry, replacing combustion engines and increasing their global market presence. These vehicles offer zero emissions during operation and more straightforward maintenance. However, for such syst...

  • Article
  • Open Access
2 Citations
1,775 Views
20 Pages

An extreme step-down ratio buck converter is proposed using a double step-down (DSD) buck converter architecture and a single time-based current mode PWM controller able to generate two non-overlapping control signal phases. Current sampling for two...

  • Article
  • Open Access
2,209 Views
25 Pages

Approximate hardware units compute a sufficiently accurate result rather than a fully accurate one using fewer transistors or equivalently logic gates than their accurate counterparts. This approach significantly saves energy while maintaining accept...

  • Article
  • Open Access
1 Citations
1,723 Views
26 Pages

The integration of photovoltaic (PV) systems into DC motor drives has prompted the enhancement of motor performance. This study explores the application of photovoltaic generators (PVs) to independently power and excite a Separately Excited Direct-Cu...

  • Review
  • Open Access
3 Citations
3,397 Views
19 Pages

The primary functions of an energy harvesting system include the harvesting, transformation, management, and storage of energy. Until now, various types of energy, with different power levels, have been harvested and stored by the energy harvesting s...

  • Article
  • Open Access
7 Citations
2,956 Views
23 Pages

Demand side management is a critical issue in the energy sector. Recent events such as the global energy crisis, costs, the necessity to reduce greenhouse emissions, and extreme weather conditions have increased the need for energy efficiency. Thus,...

  • Article
  • Open Access
2 Citations
3,731 Views
16 Pages

Low-power portable devices play a major role in IoT applications, where the analog-to-digital converters (ADCs) are very important components for the processing of analog signals. In this paper, a 5-bit two-step flash ADC with a low-power double-tail...

  • Article
  • Open Access
2,135 Views
18 Pages

Power integrity is a critical aspect of microcontroller (MCU) system design. The present tendency of increasing current density and operating frequency, along with decreasing operating voltage, significantly diminishes voltage margins. Given the cost...

  • Article
  • Open Access
3 Citations
1,481 Views
11 Pages

Multichannel Sensor Array Design for Minimizing Detector Complexity and Power Consumption in Ionoacoustic Proton Beam Tomography

  • Elia Arturo Vallicelli,
  • Alessandro Michele Ferrara,
  • Maurizio Marrale,
  • Mattia Tambaro and
  • Marcello De Matteis

Ionoacoustic tomography exploits the acoustic signal generated by the fast energy deposition along the path of pulsed particle beams to reconstruct with sub-mm precision the dose deposition, with promising envisioned applications in hadron therapy tr...

  • Article
  • Open Access
1 Citations
2,851 Views
12 Pages

Phase Change Memory Drift Compensation in Spiking Neural Networks Using a Non-Linear Current Scaling Strategy

  • Joao Henrique Quintino Palhares,
  • Nikhil Garg,
  • Yann Beilliard,
  • Lorena Anghel,
  • Fabien Alibart,
  • Dominique Drouin and
  • Philippe Galy

The non-ideality aspects of phase change memory (PCM) such as drift and resistance variability can pose significant obstacles in neuromorphic hardware implementations. A unique drift and variability compensation strategy is demonstrated and implement...

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J. Low Power Electron. Appl. - ISSN 2079-9268