Results 21 to 30 of about 89,641 (264)

Investigating Imperfect Cloning for Extending Quantum Communication Capabilities

open access: yesSensors, 2023
Quantum computing allows the implementation of powerful algorithms with enormous computing capabilities and promises a secure quantum Internet. Despite the advantages brought by quantum communication, certain communication paradigms are impossible or ...
Masab Iqbal   +5 more
doaj   +1 more source

Fast Light and the Speed of Information Transfer in the Presence of Detector Noise

open access: yesIEEE Photonics Journal, 2009
The phenomenon of fast-light pulse propagation has seen renewed interest in recent years, but its relationship to the speed of information transfer is still being debated.
Michael Z. Feng   +2 more
doaj   +1 more source

6G and Beyond: The Future of Wireless Communications Systems

open access: yesIEEE Access, 2020
6G and beyond will fulfill the requirements of a fully connected world and provide ubiquitous wireless connectivity for all. Transformative solutions are expected to drive the surge for accommodating a rapidly growing number of intelligent devices and ...
Ian F. Akyildiz, Ahan Kak, Shuai Nie
doaj   +1 more source

Nonisotropic Scattering Characteristic in an Alternant Tree-Blocked Viaduct Scenario on High-Speed Railway at 2.35 GHz

open access: yesInternational Journal of Antennas and Propagation, 2014
This paper presents the nonisotropic scattering characteristic of the mobile radio channel in an alternant tree-blocked viaduct scenario on high-speed railway (HSR) by real field measuring at 2.35 GHz.
Rongchen Sun   +5 more
doaj   +1 more source

System Design and Calibration for Wideband Channel Sounding With Multiple Frequency Bands

open access: yesIEEE Access, 2017
This paper presents a multiple frequency bands-switching scheme for wideband channel sounding, which is able to extend the overall sounding bandwidth without changing operation bandwidth of the hardware.
Jinxing li   +3 more
doaj   +1 more source

Deep Learning-Based Adaptive Compression and Anomaly Detection for Smart B5G Use Cases Operation

open access: yesSensors, 2023
The evolution towards next-generation Beyond 5G (B5G) networks will require not only innovation in transport technologies but also the adoption of smarter, more efficient operations of the use cases that are foreseen to be the high consumers of network ...
Ahmad El Sayed   +3 more
doaj   +1 more source

Air‐Pressure–Actuated Vibroacoustic Metamaterial With Tunable Bandgap: Design, Modeling, and Characterization

open access: yesAdvanced Engineering Materials, EarlyView.
This article presents the design, modeling, and characterization of air‐pressure–actuated programmable vibroacoustic metamaterials (PVAMM). The study focuses on leveraging air pressure to dynamically tune resonance frequencies for effective noise attenuation.
William Kaal   +2 more
wiley   +1 more source

Improved Threshold Voltage Stability of p-GaN Gate HEMTs Under Off-State Drain Stress Using p-NiO RESURF Terminal

open access: yesMicromachines
A comparative study was undertaken to examine the VTH stability of p-GaN gate high electron mobility transistors (HEMTs) without the p-NiO reduced surface field (RESURF) terminal and with the RESURF terminal under off-state drain voltage stress and ...
Jun Pan   +8 more
doaj   +1 more source

Dual Tunable Electromagnetically Induced Transparency Based on a Grating-Assisted Double-Layer Graphene Hybrid Structure at Terahertz Frequencies

open access: yesNanomaterials, 2022
We propose a graphene plasmonic structure by applying two graphene layers mingled with a thin gold layer in a silicon grating. By utilizing the finite-difference time-domain (FDTD) method, we investigate the optical response of the system, and observe ...
Xu Zhong   +7 more
doaj   +1 more source

Investigation of Resonance Characteristics of More Than 10 000 Metal‐Coated Silicon MEMS Cantilevers Using Machine Learning

open access: yesAdvanced Engineering Materials, EarlyView.
More than 10 000 metal‐coated silicon MEMS cantilevers are fabricated and characterized to build a large‐scale experimental dataset spanning multiple vibrational modes. Machine learning algorithms are benchmarked to predict resonance frequency and quality factor, with ensemble based models achieving accuracy approaching experimental uncertainty.
Sina Zare Pakzad   +8 more
wiley   +1 more source

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