Results 31 to 40 of about 115 (112)
Neuromorphic Denoising with Fully Analog Memristive In‐Memory Computing
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
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
This study investigates the neuromorphic plasticity behavior of 180 nm bulk complementary metal oxide semiconductor (CMOS) transistors at cryogenic temperatures. The observed hysteresis data reveal a signature of synaptic behavior in CMOS transistors at 4 K.
Fiheon Imroze +8 more
wiley +1 more source
Cyber-Physical Systems are experiencing a paradigm shift in which processing has been relocated to the distributed sensing layer and is no longer performed in a centralized manner.
Alfonso Rodríguez +5 more
doaj +1 more source
FPGA Realization of a Novel Hyperchaos Augmented Image Encryption Algorithm
With the rapid growth of multimedia communication, protecting image data has become increasingly critical. This article proposes a novel 3‐stage hyperchaos‐based augmented image encryption technique (3SHAIET) that utilizes a three‐stage process with chaotic systems of increasing dimensionality (e.g., six‐dimensional [6D], 8D, and 9D) to enhance ...
Wassim Alexan +6 more
wiley +1 more source
UASR‐A: An Efficient Edge Super‐Resolution Accelerator With Hardware‐Algorithm Co‐Design Techniques
Deploying high‐performance super‐resolution on resource‐constrained edge devices is difficult due to heavy computation and memory bandwidth limits. We propose a hardware software co‐design consisting of a lightweight unified‐attention super‐resolution network (UASR) network (ConvFormer with unified‐attention mixer [UA‐M] and reparameterized edge ...
Yuqiao Huang, Dihu Chen, Tao Su
wiley +1 more source
A programmable multi-bit fault injection for embedded system
Fault injection technique is commonly used to intentionally introducing attack on embedded systems, specifically advanced FPGAs and microcontrollers. The FPGA-based embedded system uses SRAM for storage of configuration data.
Rahul Shandilya, R. K. Sharma
doaj +1 more source
Fine-grain leakage optimization in SRAM based FPGAs [PDF]
FPGAs are evolving at a rapid pace with improved performance and logic density. At the same time, trends in technology scaling makes leakage power a serious concern for designers. In this paper, we propose a hierarchical look-up table (LUT) structure for FPGAs to improve leakage power consumption.
Somsubhra Mondal, Seda Ogrenci Memik
openaire +1 more source
Virtual Page‐Based Flash Translation Layer for Compressed Solid‐State Drives
This letter introduces a virtual page‐based flash translation layer (VPFTL) addressing the asymmetric logical‐to‐physical mappings introduced by data compression in SSDs. By grouping multiple physically related pages into a single virtual page, VPFTL flexibly manages mappings while preserving performance.
Yifan Shen +5 more
wiley +1 more source
4‐Channel Ultrasound Digital Beamforming and Demodulator for SiP Packaging in 28 Nm CMOS
ABSTRACT Ultrasound diagnosis, vital in modern medical practices due to its non‐invasive and convenient nature, is significantly enhanced by digital imaging chips, which surpass analogue versions in providing improved spatial, temporal and contrast resolutions.
Chenhui Zhou +3 more
wiley +1 more source

