Results 121 to 130 of about 23,485 (319)

RRAM Variability Harvesting for CIM‐Integrated TRNG

Advanced Electronic Materials, EarlyView.
This work demonstrates a compute‐in‐memory‐compatible true random number generator that harvests intrinsic cycle‐to‐cycle variability from a 1T1R RRAM array. Parallel entropy extraction enables high‐throughput bit generation without dedicated circuits. This approach achieves NIST‐compliant randomness and low per‐bit energy, offering a scalable hardware
Ankit Bende, Gokulnath Rajendran, Regina Dittmann, Anupam Chattopadhyay, Vikas Rana   +4 more
wiley   +1 more source

The Future of Hydrogen‐Powered Aviation: Technologies, Challenges, and a Strategic Roadmap for Sustainable Decarbonization

Advanced Energy and Sustainability Research, EarlyView.
Hydrogen‐powered aviation offers a transformative pathway to zero‐emission flight by eliminating in‐flight CO2 emissions. Key considerations include propulsion systems (fuel cells and hydrogen combustion), cryogenic storage and insulation challenges, infrastructure and cost barriers, and supply‐chain constraints.
Mubasshira, Md Mahbubur Rahman, Karib Hassan Khan, Md Nizam Uddin, Dewan Hafiz Nabil   +4 more
wiley   +1 more source

SIMECK-T: An Ultra-Lightweight Encryption Scheme for Resource-Constrained Devices

Applied Sciences
The Internet of Things produces vast amounts of data that require specialized algorithms in order to secure them. Lightweight cryptography requires ciphers designed to work on resource-constrained devices like sensors and smart things.
Alin-Adrian Anton, Petra Csereoka, Eugenia-Ana Capota, Răzvan-Dorel Cioargă   +3 more
doaj   +1 more source

Security evaluation over lightweight cryptographic protocols [PDF]

, 2014
Seyed-Mohsen Ghoreishi, Shukor Abd Razak, Ismail Fauzi Isnin, Hassan Chizari   +3 more
openalex   +1 more source

Triboelectric Tactile Transducers for Neuromorphic Sensing and Synaptic Emulation: Materials, Architectures, and Interfaces

Advanced Energy and Sustainability Research, EarlyView.
Triboelectric nanogenerators are vital for sustainable energy in future technologies such as wearables, implants, AI, ML, sensors and medical systems. This review highlights improved TENG neuromorphic devices with higher energy output, better stability, reduced power demands, scalable designs and lower costs.
Ruthran Rameshkumar, Arunkumar Chandrasekhar, Poongundran Selvaprabhu   +2 more
wiley   +1 more source

Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution

Advanced Intelligent Discovery, EarlyView.
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren, Qian Jiang, Xin Jin, Puming Wang, Xing Chu, Shaowen Yao, Shengfa Miao   +6 more
wiley   +1 more source

Lightweight cryptography for IoT devices

, 2023
Lightweight cryptography is a field that has been growing fast recently due to the demand for secure Internet of Things (IoT) applications. These algorithms provide se curity for computational power, memory, and energy-constrained devices. In this work, we propose a new protocol based on lightweight cryptography algorithms that enables the generation ...
openaire   +1 more source

Secure Communication Protocol for Arduino-based IoT Using Lightweight Cryptography

, 2022
Rizki Agus Zandra Kurniawan, Sri Wahjuni, Shelvie Nidya Neyman   +2 more
openalex   +2 more sources

A Review of the NIST Lightweight Cryptography Finalists and Their Fault Analyses [PDF]

, 2022
H.M.P.S. Madushan, Iftekhar Salam, Janaka Alawatugoda   +2 more
openalex   +1 more source

Inverse Engineering of Mg Alloys Using Guided Oversampling and Semi‐Supervised Learning

Advanced Intelligent Discovery, EarlyView.
End‐to‐end design of engineering materials such as Mg alloys must include the properties, structure, and post‐synthesis processing methods. However, this is challenging when destructive mechanical testing is needed to annotate unseen data, and the processing methods for hypothetical alloys are unknown.
Amanda S. Barnard
wiley   +1 more source