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"Energy Efficient Tasks Allocations Algorithms for Wireless Powered Int" by Honglin Ren

Internet of Things (IoT) networks are expected to provide on demand sensing services to applications that enable autonomous driving, targets tracking, and smart cities. In particular, users and applications can request sensor devices to monitor a given area, collect data, and/or conduct computation on sensed data. In this respect, a/an controller/operator helps orchestrate the operations of sensor devices where they are instructed to execute tasks such as sensing, transmission, storage, and computation. To realize the full potential of IoT networks, the resources on sensor devices such as computation, energy, and bandwidth must be managed carefully. To date, researchers have considered applying network function virtualization (NFV) in IoT networks. Advantageously, NFV allows an operator to abstract and decouple physical resources into logical units, which are then shared by independent users. In NFV, the resources of devices are allocated to various applications in terms of virtual net ....

Energy Efficiency , Internet Of Things Iot , Adio Frequency Rf Charging , Reinforcement Learning , Task Allocation ,

Leonardo announces 2021 Drone Contest


Leonardo announces 2021 Drone Contest
From Leonardo | December 30, 2020
Estimated reading time
3 minutes, 27 seconds.
The 2021 edition of the Leonardo Drone Contest will be a “drone game” in which new technologies and functions will be applied in a new arena. Much like the formula in the first edition, the new competition will include a scientific and technological presentation symposium at the end of spring 2021, and the development of the new tender which will be held in autumn at Leonardo’s Aircraft headquarters in Turin.
The award ceremony for the first edition of the competition was held on Sept. 23 with the victory of the Politecnico di Milano while the University of Bologna was awarded the “Special Jury Prize”. A few months after the conclusion of the first race, the other teams in the competition – the Politecnico di Milano, Alma Mater Studiorum – University of Bologna, Politecnico di Torino, Sant’Anna School of Advanced Studies, ....

Tor Vergata University Of Rome , University Of Naples Federico , Santanna School Of Advanced , University Of Bologna , Leonardo Drone Contest , Alma Mater Studiorum , Sant Anna School , Advanced Studies , Task Allocation , Visual Inertial Odometry , Autonomous Trajectory , Computer Vision , Autonomous Decision Making , Artificial Intelligence , Sensor Fusion , Machine Learning , பல்கலைக்கழகம் ஆஃப் நேபிள்ஸ் ஃபெடரீகொ , பல்கலைக்கழகம் ஆஃப் போலோக்னா , லியோனார்டோ ட்ரோன் போட்டி , சந்த் அண்ணா பள்ளி , பணி ஒதுக்கீடு , கணினி பார்வை , தன்னாட்சி முடிவு தயாரித்தல் , செயற்கை உளவுத்துறை , சென்சார் இணைவு , இயந்திரம் கற்றல் ,