A Novel Physical Layer Security Scheme in OFDM-Based Cognitive Radio Networks
IEEE Access, 2018 In this paper, a physical-layer-security scheme for an underlay relay-based cognitive radio network (CRN) that uses orthogonal frequency-division multiplexing (OFDM) as the medium access technique is proposed.
Hurmat Ali Shah, Insoo Koo
doaj +1 more source
Fabrication Routes for Ionic Conducting Fiber Strain Sensors
Advanced Engineering Materials, EarlyView.Ionic conducting fiber strain sensors (ICFSs) offer compliant, textile‐integrable sensing. Thus far, the commercialization of ICFSs has been constrained by fiber fabrication routes. This review provides a fabrication‐centric analysis of ICFSs correlating processing strategies with material properties and scalability.
Leo John Kershaw +3 more
wiley +1 more source
Physical Layer Service Integration in 5G: Potentials and Challenges
IEEE Access, 2018 High transmission rate and secure communication have been identified as the key targets that need to be effectively addressed by fifth generation wireless systems.
Weidong Mei +3 more
doaj +1 more source
Supporting AI Readiness Through Digital Workflows in Materials Science
Advanced Engineering Materials, EarlyView.Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns +67 more
wiley +1 more source
Abnormal Respiratory Sounds Classification Using Deep CNN Through Artificial Noise Addition. [PDF]
Front Med (Lausanne), 2021 Zulfiqar R +5 more
europepmc +1 more source
FastNano Liquid: An Automated Platform for Small‐Angle X‐ray Scattering‐Based Materials Discovery
Advanced Engineering Materials, EarlyView.We present FastNano Liquid, an automated small‐ and wide‐angle X‐ray scattering platform for the combined synthesis and characterization of (nano)materials. The platform is coupled to varied reactor workflows for both in situ studies of reaction kinetics and ex situ screening of synthesis conditions to support machine learning‐guided exploration ...
Pierre‐Baptiste Flandrin +16 more
wiley +1 more source
Secrecy capacity analysis of MISO system with artificial noise
Tongxin xuebao, 2012 Adding artificial noise in the MISO system was an effective method to improve the security.The transmit power allocation and artificial noise generation was mainly discussed.An artificial noise model of MISO system was presented,in which the artificial ...
Jiang JI, Liang JIN, Kai-zhi HUANG
doaj +2 more sources
Extrinsic stressors modulate resource evaluations: insights from territoriality under artificial noise. [PDF]
Front Zool, 2021 Kareklas K, Kunc HP, Arnott G.
europepmc +1 more source
A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys
Advanced Engineering Materials, EarlyView.High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin +14 more
wiley +1 more source
Life-cycle costs and infrastructural investments induced by unconventional low-noise aircraft
, 2015 The environment challenge and the expected growth of the market demand impose a technology breakthrough within the aeronautical industry. Although several innovative configurations of airplanes have been analyzed, none of them has been yet chosen as the ...
CENTRACCHIO, FRANCESCO +2 more
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