Results 51 to 60 of about 320,500 (329)

Scalable reservoir computing on coherent linear photonic processor

open access: yesCommunications Physics, 2021
Optical computing holds promise for high-speed, low-energy information processing due to its large bandwidth and ability to multiplex signals. The authors propose a recurrent neural network implementation using reservoir computing architecture in an ...
Mitsumasa Nakajima   +2 more
doaj   +1 more source

A Novel Decomposed Optical Architecture for Satellite Terrestrial Network Edge Computing

open access: yesMathematics, 2022
Aiming at providing a high-performance terrestrial network for edge computing in satellite networks, we experimentally demonstrate a high bandwidth and low latency decomposed optical computing architecture based on distributed Nanoseconds Optical ...
Xiaotao Guo   +4 more
doaj   +1 more source

A New Approach for Computing the Bandwidth Statistics of Avalanche Photodiodes [PDF]

open access: yes, 2000
A new approach for characterizing the avalanche-buildup-time-limited bandwidth of avalanche photodiodes (APDs) is introduced which relies on the direct knowledge of the statistics of the random response time.
Dong, Guoquan, Hayat, Majeed M.
core   +1 more source

Security Implications of Fog Computing on the Internet of Things

open access: yes, 2018
Recently, the use of IoT devices and sensors has been rapidly increased which also caused data generation (information and logs), bandwidth usage, and related phenomena to be increased.
Butun, Ismail   +2 more
core   +1 more source

Screen‐Printed Flexible Piezoelectric Force Sensor Array with Electromagnetic Interference Shielding

open access: yesAdvanced Engineering Materials, EarlyView.
This article introduces a flexible screen‐printed piezoelectric sensor array designed for low‐frequency healthcare applications such as tactile sensing and cardiovascular monitoring. The device integrates interface electronics enabling the simultaneous acquisition of up to 128 signals, along with flexible EMI shielding that significantly reduces noise ...
Joseph Faudou   +6 more
wiley   +1 more source

SatFed: A Resource-Efficient LEO-Satellite-Assisted Heterogeneous Federated Learning Framework

open access: yesEngineering
Traditional federated learning (FL) frameworks rely heavily on terrestrial networks, whose coverage limitations and increasing bandwidth congestion significantly hinder model convergence.
Yuxin Zhang   +7 more
doaj   +1 more source

Unique Performance Considerations for Printable Organic Semiconductor and Perovskite Radiation Detectors: Toward Consensus on Best Practice Evaluation

open access: yesAdvanced Functional Materials, EarlyView.
A lack of standard approaches for testing and reporting the performance of metal halide perovskites and organic semiconductor radiation detectors has resulted in inconsistent interpretation of performance parameters, impeding progress in the field. This Perspective recommends key metrics and experimental details, which are suggested for reporting in ...
Jessie A. Posar   +8 more
wiley   +1 more source

Dynamic Traffic Engineering for Cooperative Fog-Cloud Environment: Trade-off Analysis of Cost and Utilization Under Different Load Conditions

open access: yesJournal of Communications Software and Systems
Fog computing has become an attractive computing method for different IoT (Internet of Things) applications that require low latency and location awareness.
Md. Rahinur Rahman   +1 more
doaj   +1 more source

The bandwidth theorem for locally dense graphs

open access: yesForum of Mathematics, Sigma, 2020
The bandwidth theorem of Böttcher, Schacht, and Taraz [Proof of the bandwidth conjecture of Bollobás and Komlós, Mathematische Annalen, 2009] gives a condition on the minimum degree of an n-vertex graph G that ensures G contains every r-chromatic graph H
Katherine Staden, Andrew Treglown
doaj   +1 more source

DeepPicar: A Low-cost Deep Neural Network-based Autonomous Car

open access: yes, 2018
We present DeepPicar, a low-cost deep neural network based autonomous car platform. DeepPicar is a small scale replication of a real self-driving car called DAVE-2 by NVIDIA.
Bechtel, Michael G.   +3 more
core   +1 more source

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