Results 51 to 60 of about 855 (207)

In‐Memory Continuous‐Time SAT Solver Based on Bidirectional 11‐T SRAM Macro

open access: yesAdvanced Intelligent Systems, EarlyView.
This article reported a continuous‐time (CT) Boolean satisfiability (SAT) problem solver using bidirectional 11T‐SRAM macro. The proposed system operates asynchronously using capacitor‐based gradient integration and maximizes the parallelism for SAT solving by in‐memory computing (IMC).
Dongseok Kwon   +3 more
wiley   +1 more source

Analysis of Data Remanence and Power-up States of SRAM Cells in Embedded Systems [PDF]

open access: yes, 2022
Contrary to popular assumption, Static RAM (SRAM), the main memory in most modern microcontrollers, temporarily retains its contents after power is lost.
Mateu Barriendos, Elia
core   +1 more source

Improved hybrid scrubbing scheme for spaceborne static random access memory-based field programmable gate arrays

open access: yesThe Journal of Engineering, 2019
With the shrinking feature sizes of static random access memory-based field programmable gate arrays (FPGAs), the occurrence probability of multiple-cell upsets (MCUs) in FPGAs continues to increase. This reduces the reliability of FPGAs.
Yue Li   +3 more
doaj   +1 more source

Neuromorphic Denoising with Fully Analog Memristive In‐Memory Computing

open access: yesAdvanced Intelligent Systems, EarlyView.
This article borrows the concepts of episodic memory in human brains to experimentally implement a memristor‐based neuromorphic denoising process. A homogeneous memristor processing unit is experimentally demonstrated for both temporal storage and neural network computation, imitating the synapses in the human brain.
Daijing Shi   +5 more
wiley   +1 more source

Device and circuit performance analysis of double gate junctionless transistors at L(g) = 18 nm

open access: yesThe Journal of Engineering, 2014
The design and characteristics of double-gate (DG) junctionless (JL) devices are compared with the DG inversion-mode (IM) field effect transistors (FETs) at 45 nm technology node with effective channel length of 18 nm. The comparison are performed at iso-
Chitrakant Sahu, Jawar Singh
doaj   +1 more source

Linear System Identification and Control of a Low‐Cost High‐Performance Omnidirectional Marine Surface Vehicle for Swarming Applications

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Marine operations traditionally rely on human intervention, a costly and disruptive method. Autonomous surface vehicles (ASVs) offer a powerful alternative, capable of operating autonomously, for extended periods, and with various sensors for various missions.
Ayman El Qemmah   +4 more
wiley   +1 more source

Physical Unclonable Function Based on 3D‐NAND Flash Array Structure With Multi‐Chip Implementation

open access: yesSmall, EarlyView.
Physical unclonable function (PUF) based on a 3D‐NAND flash array is proposed, featuring a multi‐chip structure and a massive challenge–response pair (CRP) capacity. The presented utilizes intrinsic string current variations experimentally verified across eight fabricated 48 × 24 NAND flash arrays.
Hwiho Hwang   +4 more
wiley   +1 more source

An LFSR-based address generator using optimized address partition for low power memory BIST

open access: yesJournal of Measurement Science and Instrumentation, 2020
Power consumption in test mode is much higher than that in normal mode, which is prone to causing circuit damage and reducing the yield of chips. To reduce the power dissipation efficiently, a modified linear feedback shift register(LFSR) is designed to ...
YU Zhi-guo   +3 more
doaj  

Opportunities for 2D‐Material‐Based Multifunctional Devices and Systems in Bioinspired Neural Networks

open access: yesSmall, EarlyView.
Bio‐inspired computing offers a route to highly energy‐efficient artificial intelligence. The unique physical properties of two‐dimensional (2D) materials can further enhance such computing approaches. This perspective highlights recent developments in 2D materials‐based neuromorphic devices and discusses future opportunities for integrating such novel
Jin Feng Leong   +9 more
wiley   +1 more source

Prediction of Electric Toothbrush Acoustic Comfort Using a Lightweight Dual‐Branch CNN With Psychoacoustic‐Spectral Cross‐Attention Fusion

open access: yesEngineering Reports, Volume 8, Issue 6, June 2026.
A lightweight dual‐branch neural network with cross‐attention fusion (LDCNN‐CF) integrates Mel‐spectrograms with psychoacoustic parameters to predict electric toothbrush acoustic comfort. The model achieves human‐like accuracy (MAE = 0.82, R2 = 0.84) with only 0.42 M parameters and identifies roughness as the dominant predictor of discomfort.
Yang Zhang
wiley   +1 more source

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