Results 41 to 50 of about 2,557 (266)

Specific Emitter Identification of Frequency Hopping Signals Based on Feature Extraction and Deep Residual Network

IEEE Access, 2022
In the modern war with complex and changeable electromagnetic environment, Specific Emitter Identification (SEI) is an important and difficult problem, which is of great significance in obtaining intelligence information, identifying ourselves or foe ...
Mingdi Li, Jun Xie, Hongjie Yang, Mengjie Geng, Jichuan Liu   +4 more
doaj   +1 more source

A RF Fingerprint Based EIoT Device Identification Method

Zhongguo dianli, 2021
Due to the openness nature of the communication medium, the wireless communication of Electric Internet of Things (EIoT) devices faces severe security risks.
Ming LIU, Nian LIU, Xiaoyi HAN, Linning PENG, Hua FU, Yicong CHEN   +5 more
doaj   +1 more source

Receiver-Agnostic Radio Frequency Fingerprint Identification via Federated Learning

IEEE Transactions on Machine Learning in Communications and Networking
Ensuring secure and reliable wireless connectivity is essential for modern Internet of Things (IoT) applications. Radio frequency fingerprint identification (RFFI) has emerged as a promising lightweight device authentication mechanism by leveraging ...
Faiza Gul, Xiangyun Zhou, Amanda S. Barnard, Salman Durrani   +3 more
doaj   +1 more source

A Deep Learning-Based Human Identification System With Wi-Fi CSI Data Augmentation

IEEE Access, 2021
Human identification systems generally include face recognition, iris recognition, radio frequency identification tags, and fingerprint recognition systems.
Hyunggeun Mo, Seungku Kim
doaj   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Direct Metal Deposition of Graphene–Ti28Nb35.4Zr Matrix Composites With Enhanced Mechanical, Corrosion, and Biocompatibility Properties for Bone Implants

Advanced Engineering Materials, EarlyView.
Graphene nanoplatelet (0.1 wt.%) reinforcement significantly enhances the performance of β Ti‐28Nb‐35.4Zr alloy. Grain refinement, reduced water contact angle, and improved surface characteristics promote osteoblast adhesion and complete surface coverage after 7 days.
Khurram Munir, Jixing Lin, Yuncang Li, Li Zhu, Paul F. A. Wright, Cuie Wen   +5 more
wiley   +1 more source

Label-Efficient Learning for Radio Frequency Fingerprint Identification

2025 IEEE Wireless Communications and Networking Conference (WCNC)
Abstract: Radio Frequency Fingerprint Identification (RF FID) is a novel approach that aims to differentiate devices based on their unique signal transmissions, rather than their given identities. This approach has promising applications in wireless security, spectrum management, and sensing. Current RFFID research uses deep learning due to its success
Nhem, Thayheng, Denoodt, Fabian, Weyn, Maarten, Peeters, Michael, Oramas, José, Berkvens, Rafael   +5 more
openaire   +2 more sources

Noise-Robust Radio Frequency Fingerprint Identification Using Denoise Diffusion Model [PDF]

Securing Internet of Things (IoT) devices presents increasing challenges due to their limited computational and energy resources. Radio Frequency Fingerprint Identification (RFFI) emerges as a promising authentication technique to identify wireless ...
Zhang, Junqing, Yin, Guolin, Ding, Y, Cotton, S, Yin, G, Ding, Yuan; id_orcid, Cotton, Simon L., Zhang, J   +7 more
core   +1 more source

Encyclopedia of 2D β′‐In2Se3 Growth Using Chemical Vapor Deposition: The Effects of Synthesis Parameters Onto Material Quality

Advanced Engineering Materials, EarlyView.
A distinct semi‐confined inner‐tube chemical vapor deposition geometry enables reproducible, large‐area growth of phase‐pure 2D β′‐In2Se3 from InI + Se precursors. Engineering local vapor transport and optimizing precursor delivery and temperature–time conditions yield uniform continuous films.
Dasun P. W. Guruge, P. Sanju S. Panawala, Joseph F. S. Fernando, Zhenhuan Chen, Chao Zhang, Dong‐Chen Qi, Liangzhi Kou, Konstantin L. Firestein, Dmitri V. Golberg   +8 more
wiley   +1 more source

Experimental and Numerical Modal Analysis of Composite Sandwich Structures Using Surfboards as Model Systems

Advanced Engineering Materials, EarlyView.
This article presents an experimental and numerical modal investigation of composite sandwich structures using surfboards as model systems. By comparing different core materials and reinforcement strategies, the study demonstrates how local stiffeners influence vibrational response and introduce characteristic modal features, highlighting modal ...
Brett Connellan, Luca Lomazzi, Mathis Mercier, Kara Stark, Marc in het Panhuis   +4 more
wiley   +1 more source