Results 21 to 30 of about 314,537 (290)

Carrier Harmonic Modulation for Simultaneous Wireless Information and Power Transfer

open access: yesIEEE Access, 2023
This paper presents the carrier harmonic modulation (CHM) for near-field data communication during wireless power transmission. The proposed CHM does not increase the coil dimension, and an additional data driver is not required.
Jaemyung Lim, Byunghun Lee
doaj   +1 more source

Design and Development of a Class EF2 Inverter and Rectifier for Multi-megahertz Wireless Power Transfer Systems [PDF]

open access: yes, 2016
This paper presents the design and implementation of a Class EF2 inverter and Class EF2 rectifier for two -W wireless power transfer (WPT) systems, one operating at 6.78 MHz and the other at 27.12 MHz.
Aldhaher, S, Mitcheson, PD, Yates, DC
core   +1 more source

Movement Recognition through Inductive Wireless Links: Investigation of Different Fabrication Techniques

open access: yesSensors, 2023
In this paper, an inductive wireless link for motion recognition is investigated. In order to validate the feasibility of a wearable implementation, the use of three different materials is analyzed: a thin copper wire, a conductive yarn, and a conductive
Giuseppina Monti, Luciano Tarricone
doaj   +1 more source

Towards a real-time microscopic emissions model [PDF]

open access: yes, 2001
This article presents a new approach to microscopic road traffic exhaust emission modelling. The model described uses data from the SCOOT demand-responsive traffic control system implemented in over 170 cities across the world. Estimates of vehicle speed
Bell, MC, Marsden, G, Reynolds, SA
core   +1 more source

A GaN-based wireless power and information transmission method using Dual-frequency Programmed Harmonic Modulation [PDF]

open access: yes, 2020
Information transmission is often required in power transfer to implement control. In this paper, a Dual-Frequency Programmed Harmonic Modulation (DFPHM) method is proposed to transfer two frequencies carrying power and information with the single ...
Deng, Wei   +5 more
core   +1 more source

Metabolic rerouting via SCD1 induction impacts X-linked adrenoleukodystrophy [PDF]

open access: yesJournal of Clinical Investigation, 2021
X-linked adrenoleukodystrophy (ALD) is a progressive neurodegenerative disease caused by mutations in ABCD1, the peroxisomal very long-chain fatty acid (VLCFA) transporter. ABCD1 deficiency results in accumulation of saturated VLCFAs. A drug screen using a phenotypic motor assay in a zebrafish ALD model identified chloroquine as the top hit ...
Quentin Raas   +16 more
openaire   +2 more sources

Frequency Splitting Analysis and Compensation Method for Inductive Wireless Powering of Implantable Biosensors

open access: yesSensors, 2016
Inductive powering for implanted medical devices, such as implantable biosensors, is a safe and effective technique that allows power to be delivered to implants wirelessly, avoiding the use of transcutaneous wires or implanted batteries.
Matthew Schormans   +2 more
doaj   +1 more source

Multiple Input Multiple Output Resonant Inductive WPT Link: Optimal Terminations for Efficiency Maximization

open access: yesEnergies, 2021
In this paper a general-purpose procedure for optimizing a resonant inductive wireless power transfer link adopting a multiple-input-multiple-output (MIMO) configuration is presented.
Giuseppina Monti   +4 more
doaj   +1 more source

A knowledge-based system with learning for computer communication network design [PDF]

open access: yes, 1990
Computer communication network design is well-known as complex and hard. For that reason, the most effective methods used to solve it are heuristic. Weaknesses of these techniques are listed and a new approach based on artificial intelligence for solving
Hoang, Hai Hoc   +2 more
core   +2 more sources

Integrating Transductive and Inductive Embeddings Improves Link Prediction Accuracy [PDF]

open access: yesProceedings of the 30th ACM International Conference on Information & Knowledge Management, 2021
In recent years, inductive graph embedding models, \emph{viz.}, graph neural networks (GNNs) have become increasingly accurate at link prediction (LP) in online social networks. The performance of such networks depends strongly on the input node features, which vary across networks and applications.
Gupta, Chitrank   +3 more
openaire   +2 more sources

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