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Journal of Low Power Electronics and Applications, Volume 15, Issue 3

2025 September - 18 articles

Cover Story: Neuromorphic computing hardware is based on principles of the brain. Instead of a CPU executing an instruction stream, neuromorphic hardware is composed of neurons and synapses that process like the human brain. The hardware has many advantageous features, such as high processing speed, extreme parallelism, small size and low power. However, communication to and from the outside world is often a severe bottleneck, performing up to 1000 times slower than the processor itself. To exacerbate the problem, training methods for neuromorphic hardware often require a lot of communication. In this paper, we solve this problem neuromorphically by designing spiking neural networks that convert communication protocols that perform well to those that train well. View this paper
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Articles (18)

  • Article
  • Open Access
1,390 Views
20 Pages

This paper presents a Class E zero-voltage soft-switching (ZVS) resonant inverter integrated with a CLC filter and a digital resonant frequency tracking technique for driving a piezoelectric ceramic transducer (PZT) in ultrasonic cleaning application...

  • Article
  • Open Access
1,060 Views
11 Pages

A Physical Unclonable Function Based on a Differential Subthreshold PMOS Array with 9.73 × 10−4 Stabilized BER and 1.3 pJ/bit in 65 nm

  • Benjamin Zambrano,
  • Sebastiano Strangio,
  • Esteban Garzón,
  • Alessandro Catania,
  • Giuseppe Iannaccone and
  • Marco Lanuzza

This paper introduces a physical unclonable function (PUF) based on a differential array of minimum-sized PMOS devices. Each response bit is obtained by comparing the two analog outputs of the differential array through a dynamic comparator with a tr...

  • Article
  • Open Access
1,757 Views
15 Pages

A ring-oscillator based voltage-controlled oscillator (VCO) architecture with reduced frequency drift across temperature and process variations is presented in this paper. The frequency stability is achieved through two dedicated compensation techniq...

  • Article
  • Open Access
934 Views
15 Pages

Design of Tri-Mode Frequency Reconfigurable UAV Conformal Antenna Based on Frequency Selection Network

  • Teng Bao,
  • Mingmin Zhu,
  • Zhifeng He,
  • Yi Zhang,
  • Guoliang Yu,
  • Yang Qiu,
  • Jiawei Wang,
  • Yan Li,
  • Haibin Zhu and
  • Hao-Miao Zhou

With the rapid growth of unmanned aerial vehicles (UAVs) and IoT users, spectrum resources are becoming increasingly scarce, making cognitive radio (CR) technology a key approach to improving spectrum utilization. However, traditional antennas are di...

  • Article
  • Open Access
1 Citations
1,817 Views
27 Pages

Alleviating the Communication Bottleneck in Neuromorphic Computing with Custom-Designed Spiking Neural Networks

  • James S. Plank,
  • Charles P. Rizzo,
  • Bryson Gullett,
  • Keegan E. M. Dent and
  • Catherine D. Schuman

For most, if not all, AI-accelerated hardware, communication with the agent is expensive and heavily bottlenecks the hardware performance. This omnipresent hardware restriction is also found in neuromorphic computing: a novel style of computing that...

  • Article
  • Open Access
1,245 Views
13 Pages

Fast Energy Recovery During Motor Braking: Analysis and Simulation

  • Lin Xu,
  • Wengan Li,
  • Zenglong Zhao and
  • Fanyi Meng

At present, environmental pollution is becoming more and more serious, and the energy problem is becoming more prominent. Energy-braking recovery can collect the mechanical energy lost in the traditional braking process and convert it into electricit...

  • Article
  • Open Access
1 Citations
1,248 Views
21 Pages

Hybrid electric vehicles (HEVs) have gained significant attention for their superior energy efficiency and are becoming a predominant mode of urban transportation. The DC/DC converter plays a critical role in HEV energy management systems, especially...

  • Article
  • Open Access
1 Citations
1,281 Views
18 Pages

Design of a Power-Aware Reconfigurable and Parameterizable Pseudorandom Pattern Generator for BIST-Based Applications

  • Geethu Remadevi Somanathan,
  • Ujarla Harshavardhan Reddy and
  • Ramesh Bhakthavatchalu

This paper presents a power-aware Reconfigurable Parameterizable Pseudorandom Pattern Generator (RP-PRPG) for a number of applications, including built in self-testing (BIST) and cryptography. Linear Feedback Shift Registers (LFSRs) are broadly utili...

  • Article
  • Open Access
873 Views
20 Pages

Federated Multi-Stage Attention Neural Network for Multi-Label Electricity Scene Classification

  • Lei Zhong,
  • Xuejiao Jiang,
  • Jialong Xu,
  • Kaihong Zheng,
  • Min Wu,
  • Lei Gao,
  • Chao Ma,
  • Dewen Zhu and
  • Yuan Ai

Privacy-sensitive electricity scene classification requires robust models under data localization constraints, making federated learning (FL) a suitable framework. Existing FL frameworks face two critical challenges in multi-label electricity scene c...

  • Article
  • Open Access
1,491 Views
18 Pages

Event-Triggered Model Predictive Control of Buck Converter with Disturbances: Design and Experimentation

  • Ziyuan Yang,
  • Shengquan Li,
  • Kaiwen Cao,
  • Donglei Chen,
  • Juan Li and
  • Wei Cao

Considering the challenges posed by traditional continuous control set model predictive control (CCS-MPC) calculations, this paper proposes an event-triggered-based model predictive control (ET-MPC). First, a novel tracking error state-space model is...

  • Article
  • Open Access
610 Views
12 Pages

This study investigates the propagation characteristics and field distribution of photonic crystals composed of epsilon-near-zero (ENZ) materials and metal cylinders. The research reveals that the cutoff frequency of the photonic crystal formed by co...

  • Article
  • Open Access
1,096 Views
13 Pages

Bipolar power supply can effectively reduce line losses and optimize power transmission. This paper proposes a low-power bipolar DC–DC converter with voltage self-balancing, which not only achieves bipolar output but also automatically balances...

  • Article
  • Open Access
1 Citations
2,344 Views
17 Pages

XSPICE models for a generic transmission line, a microstrip line, and coupled microstrips are presented. The developed models extend general-purpose circuit simulation tools using RF circuits design features. The models could be used for circuit simu...

  • Article
  • Open Access
819 Views
23 Pages

Split-shaft wind turbines decouple the turbine’s shaft from the generator’s shaft, enabling several modifications in the drivetrain. One of the significant achievements of a split-shaft drivetrain is the reduction in size of the excitatio...

  • Article
  • Open Access
3,391 Views
16 Pages

This study presents a comprehensive performance evaluation of field-programmable gate array (FPGA), graphics processing unit (GPU), and central processing unit (CPU) platforms for implementing finite impulse response (FIR) filters in semiconductor-ba...

  • Article
  • Open Access
2 Citations
1,724 Views
17 Pages

A Coverage Path Planning Method with Energy Optimization for UAV Monitoring Tasks

  • Zhengqiang Xiong,
  • Chang Han,
  • Xiaoliang Wang and
  • Li Gao

Coverage path planning solves the problem of moving an effector over all points within a specific region with effective routes. Most existing studies focus on geometric constraints, often overlooking robot-specific features, like the available energy...

  • Article
  • Open Access
965 Views
16 Pages

A Gate Driver for Crosstalk Suppression of eGaN HEMT Power Devices

  • Longsheng Zhang,
  • Kaihong Wang,
  • Shilong Guo and
  • Binxin Zhu

The eGaN HEMT power devices face serious crosstalk problems when applied to high-frequency bridge circuits, thereby limiting the switching performance of these devices. To address this issue, a gate driver is proposed in this paper that can suppress...

  • Article
  • Open Access
1,933 Views
29 Pages

This article presents an energy-efficient IC architecture implementation of an analog image-processing ML system, where the primary issue is analog architecture development for existing energy-efficient analog computing devices. An architecture is de...

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