Journal of Low Power Electronics and Applications, Volume 16, Issue 3

This article proposes a new integrated analog implementation of the Pan–Tompkins algorithm. This algorithm, generally implemented in the digital domain at the cost of higher power consumption, is one of the most efficient for QRS detection in e...

Reliable Cu/polyimide (PI) metallization requires strong interfacial adhesion while minimizing the thickness of the metallic adhesion layer. In this study, Ni ion implantation was combined with physical vapor deposition to construct an ultrathin Ni i...

This paper presents a wideband circularly polarized (CP) stacked patch antenna for 5G Sub-6 GHz applications. A major challenge in wideband dual-feed antennas is the fabrication limit caused by standard chemical etching and mechanical milling process...

Massive Multiple-Input Multiple-Output (MIMO) is a key enabling technology for fifth-generation (5G) and beyond wireless communication systems because of its ability to greatly enhance both spectral efficiency (SE) and energy efficiency (EE). However...

Edge inference on resource-constrained embedded nodes demands accelerators that are energy-efficient and compact. This paper presents Versat-AI, an open-source compiler that accepts a standard Open Neural Network Exchange (ONNX) model and generates a...

This paper presents an FPGA (Field-Programmable Gate Array) implementation of a low-power VLSI (Very Large-Scale Integration) architecture for medical image scaling in portable diagnostic systems. The proposed architecture employs bilinear interpolat...

Battery-powered IoT sensor nodes require energy-efficient Medium Access Control (MAC) protocols to extend network lifetime while supporting priority-sensitive traffic. This paper proposes a Priority-Aware Packet Aggregation/Piggybacking-Based (Priori...

Physical unclonable functions (PUFs) convert device-specific physical variations into responses for chip identity, key reconstruction, secure boot, and hardware roots of trust. This review examines the complete PUF chain from entropy generation and r...

Memristive devices have emerged as promising candidates for next-generation non-volatile memory and neuromorphic computing systems owing to their simple device architecture, low power consumption, and capability for analog conductance modulation. In...

In this work, a plasma-free atomic layer deposition (ALD)-based H₂O post-treatment method is proposed to precisely modulate hydrogen-related (H-related) traps in indium gallium zinc oxide (IGZO) thin-film transistors (TFTs) by the number of H₂O treat...

This paper proposes a sensorless current estimation method for piezoelectric energy harvesting (PEH) systems using a first-order Takagi–Sugeno fuzzy system. Unlike invasive current sensing, the proposed estimator uses only non-invasive measurem...

This paper presents a low-power fully integrated sine signal generator for on-chip bioimpedance spectroscopy applications. The circuit is based on a relaxation oscillator, which generates a triangular signal, followed by a sixth-order Gm-C bandpass f...

Recent advances in biologically inspired neural computation have sparked increasing interest in developing hardware-efficient architectures capable of emulating brain-like cognitive abilities like low power consumption and less inference latency. How...

Achieving precise microstructure control in composite dielectric layers remains a key challenge for enhancing the sensitivity and reducing the power consumption of flexible capacitive sensors. In this work, an ultrasonic needle-induced acoustic strea...

In this work, we present a systematic framework to optimize robust 1-D chaotic maps, focusing on expanding the uninterrupted chaotic region and enhancing chaotic properties throughout the entire parameter space. To achieve these objectives, we propos...

This paper presents a compact, ultra-wideband (UWB) antenna designed for low-power wireless systems requiring upper WLAN (5.725–5.825 GHz) interference mitigation. The antenna integrates a tapered-slot radiator for broadband impedance matching...

The proliferation of Internet of Things (IoT) devices operating at the network edge has created unprecedented demand for distributed machine learning capable of functioning under severe resource constraints. Federated learning (FL) has emerged as a p...

This paper proposes a practical heuristic engineering strategy for automated capacity allocation in a multifunctional parallel active power filter (PAPF) that simultaneously provides harmonic and reactive power compensation. Unlike theoretically opti...

Analog in-memory computing (AIMC) has emerged as a promising approach to mitigate the Von Neumann bottleneck in matrix operations, which are common in deep learning applications. However, the practical implementation of resistive crossbar arrays is l...