Results 11 to 20 of about 1,834,878 (292)

Accelerating Partitioned Edge Learning via Joint Parameter-and-Bandwidth Allocation [PDF]

open access: yesGLOBECOM 2020 - 2020 IEEE Global Communications Conference, 2020
In this paper, we consider the framework of partitioned edge learning for iteratively training a large-scale model using many resource-constrained devices (called workers).
Wen, Dingzhu   +8 more
core   +5 more sources

On bandwidth parameter choices for discrete nonparametric kernel estimator [PDF]

open access: yesComptes Rendus. Mathématique, 2016
On bandwidth parameter choices for discrete nonparametric kernel ...
Senga Kiesse, Tristan   +1 more
core   +3 more sources

A Distributed Source Coding Framework for Bandwidth-Efficient Neural Network Parameter Updates

open access: yesIEEE Access
Neural networks have helped solve numerous problems and create applications in various fields in the past few years. In order for the neural networks to perform well, the number of parameters has had to grow considerably in size.
Annabella Chou
doaj   +2 more sources

Lower bounds on parameter modulation-estimation under bandwidth constraints [PDF]

open access: yes2017 IEEE International Symposium on Information Theory (ISIT), 2017
We consider the problem of modulating the value of a parameter onto a band-limited signal to be transmitted over a continuous-time, additive white Gaussian noise (AWGN) channel, and estimating this parameter at the receiver. The performance is measured by the mean power-$α$ error (MP$α$E), which is defined as the worst-case $α$-th order moment of the ...
Nir Weinberger, Neri Merhav
openaire   +2 more sources

RESEARCH OF LOW-BANDWIDTH RADIONETWORKS QOS PARAMETERS

open access: yesInformation and Telecommunication Sciences, 2020
Background. This article describes the research of QoS parameters in low-bandwidth communication networks based on VHF (Very High Frequency) radio stations produced by Aselsan (Turkey) and Harris (USA). Objective. The aim of the paper is the research of data transfer delay, jitter of data transfer delay, packet losses and analysis of the possibility
Strelkovskaya, Irina, Zolotukhin, Roman
openaire   +4 more sources

Bandwidth enhancement for small patch antenna using PBG structure for different wireless applications [PDF]

open access: yes, 2009
A design strategy using Photonic Band Gap (PBG) structure on ground plane to achieve wider bandwidth for patch antenna is presented. It is found that, the impedance bandwidth has improved from 3.72% to 31.9% at centre frequency 9 GHz after adding PBG on ...
AbuTarboush, HF   +2 more
core   +7 more sources

Electrical Reconfigurability in Modern 4G, 4G/5G and 5G Antennas: A Critical Review of Polarization and Frequency Reconfigurable Designs

open access: yesIEEE Access, 2023
This paper presents a critical review of modern 4G, 4G/5G, and 5G antennas, which employ PIN diodes and Varactors for polarization or frequency reconfiguration.
Razan Alhamad   +2 more
doaj   +1 more source

Joint Parameter-and-Bandwidth Allocation for Improving the Efficiency of Partitioned Edge Learning [PDF]

open access: yesIEEE Transactions on Wireless Communications, 2020
To leverage data and computation capabilities of mobile devices, machine learning algorithms are deployed at the network edge for training artificial intelligence (AI) models, resulting in the new paradigm of edge learning. In this paper, we consider the framework of partitioned edge learning for iteratively training a large-scale model using many ...
Dingzhu Wen, Mehdi Bennis, Kaibin Huang
openaire   +5 more sources

Peningkatan Bandwidth dan Gain Antena Mikrostrip Leaky Wave dengan Multi Slot untuk Aplikasi WLAN

open access: yesJurnal Elkomika, 2022
ABSTRAK Penelitian ini menggunakan antena microstrip leaky wave dengan menambahkan dua slot, yaitu E-slot dan U-slot ganda atau multislot pada frekuensi 6 GHz (5,925 GHz-6,425 GHz) untuk aplikasi WLAN.
MUHAMAD WAHYU IQBAL   +2 more
doaj   +1 more source

An Improved Locally Weighted PLS Based on Particle Swarm Optimization for Industrial Soft Sensor Modeling

open access: yesSensors, 2019
In industrial production, soft sensors play very important roles in ensuring product quality and production safety. Traditionally, global modeling methods, which use historical data to construct models offline, are often used to develop soft sensors ...
Minglun Ren, Yueli Song, Wei Chu
doaj   +1 more source

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