Results 1 to 10 of about 604,815 (269)

Network Calculus Approach for Packet Delay Variation Analysis of Multi-Hop Wired Networks

open access: yesApplied Sciences, 2022
The Industrial Internet of Things (IIoT) has revolutionized businesses by changing the way data are used to make products and services more efficient, reliable, and profitable.
Rahul Nandkumar Gore   +3 more
doaj   +1 more source

Control Based Motion Planning Exploiting Calculus of Variations and Rational Functions: A Formal Approach

open access: yesIEEE Access, 2021
This paper presents a control-based trajectory generation approach for unmanned aerial vehicles (UAVs) under dynamic constraints. It exploits the concept of optimal control to find closed-form differential equations that satisfy any arbitrary dynamic ...
Babak Salamat   +2 more
doaj   +1 more source

Trustworthy clash-free surveillance using virtual emotion detection in 6G-assisted graded districts

open access: yesICT Express, 2023
It is highly necessary that a barrier of virtual emotion detection for surveillance reinforcement aims to fit with multi districts instead of only single area.
Sooeon Lee   +3 more
doaj   +1 more source

Localization in Unstructured Environments: Towards Autonomous Robots in Forests with Delaunay Triangulation

open access: yesRemote Sensing, 2020
Autonomous harvesting and transportation is a long-term goal of the forest industry. One of the main challenges is the accurate localization of both vehicles and trees in a forest.
Qingqing Li   +4 more
doaj   +1 more source

Wireless Passive Sensor Technology through Electrically Conductive Media over an Acoustic Channel

open access: yesSensors, 2023
Hydrogen-based technologies provide a potential route to more climate-friendly mobility in the automotive and aviation industries. High-pressure tanks consisting of carbon-fiber-reinforced polymers (CFRPs) are exploited for the storage of compressed ...
Thomas Schaechtle   +3 more
doaj   +1 more source

Using Algorithmic Transformations and Sensitivity Analysis to Unleash Approximations in CNNs at the Edge

open access: yesMicromachines, 2022
Previous studies have demonstrated that, up to a certain degree, Convolutional Neural Networks (CNNs) can tolerate arithmetic approximations. Nonetheless, perturbations must be applied judiciously, to constrain their impact on accuracy.
Flavio Ponzina   +3 more
doaj   +1 more source

From Brown-Field to Future Industrial Networks, a Case Study

open access: yesApplied Sciences, 2021
The network infrastructures in the future industrial networks need to accommodate, manage and guarantee performance to meet the converged Internet technology (IT) and operational technology (OT) traffics requirements.
Mehrzad Lavassani   +2 more
doaj   +1 more source

RoboPlanner: a pragmatic task planning framework for autonomous robots

open access: yesCognitive Computation and Systems, 2020
Robotic automation has proliferated various industrial deployments including manufacturing, retail warehousing and logistics supply chains. In order for robots to advance to the next stage of cognitive autonomy, a robust framework for planning, execution
Ajay Kattepur   +1 more
doaj   +1 more source

ConvAix: An Application-Specific Instruction-Set Processor for the Efficient Acceleration of CNNs

open access: yesIEEE Open Journal of Circuits and Systems, 2021
ConvAix is an application-specific instruction-set processor (ASIP) that enables the energy-efficient processing of convolutional neural networks (CNNs) while retaining substantial flexibility through its instruction-set architecture (ISA) based design ...
Andreas Bytyn   +2 more
doaj   +1 more source

Machine Learning Tips and Tricks for Power Line Communications

open access: yesIEEE Access, 2019
A great deal of attention has been recently given to Machine Learning (ML) techniques in many different application fields. This paper provides a vision of what ML can do in Power Line Communications (PLC).
Andrea M. Tonello   +3 more
doaj   +1 more source

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