Results 1 to 10 of about 777,757 (186)

EVALUATION OF CRITICAL EXPERIMENTS IN THE UNIVERSITY OF WISCONSIN NUCLEAR REACTOR (UWNR) WITH UNCERTAINTY QUANTIFICATION [PDF]

open access: yesEPJ Web of Conferences, 2021
An improved computational model of the University of Wisconsin Nuclear Reactor (UWNR) was developed to support the benchmark evaluation of recent data acquired during an experimental campaign conducted at UWNR.
Park Young-Hui   +5 more
doaj   +1 more source

Computation Resource Allocation and Revenue Sharing Based on Mobile Edge Computing for Blockchain [PDF]

open access: yesJisuanji kexue, 2021
This paper proposes a mobile edge computing (MEC) assisted blockchain system in which mobile terminals (MT) do not have enough local computation resources to solve the proof of work (PoW) puzzle.By combining the computation resource allocation of MTs and
XU Xu, QIAN Li-ping, WU Yuan
doaj   +1 more source

A review of optimization methods for computation offloading in edge computing networks

open access: yesDigital Communications and Networks, 2023
Handling the massive amount of data generated by Smart Mobile Devices (SMDs) is a challenging computational problem. Edge Computing is an emerging computation paradigm that is employed to conquer this problem. It can bring computation power closer to the
Kuanishbay Sadatdiynov   +5 more
doaj   +1 more source

Exploring the Time-efficient Evolutionary-based Feature Selection Algorithms for Speech Data under Stressful Work Condition

open access: yesEmitter: International Journal of Engineering Technology, 2021
Initially, the goal of Machine Learning (ML) advancements is faster computation time and lower computation resources, while the curse of dimensionality burdens both computation time and resource. This paper describes the benefits of the Feature Selection
Derry Pramono Adi   +4 more
doaj   +1 more source

Optimal Blind Quantum Computation [PDF]

open access: yesPhysical Review Letters, 2013
Blind quantum computation allows a client with limited quantum capabilities to interact with a remote quantum computer to perform an arbitrary quantum computation, while keeping the description of that computation hidden from the remote quantum computer.
Mantri, A.   +2 more
openaire   +3 more sources

Multi-Task Learning-Based Task Scheduling Switcher for a Resource-Constrained IoT System

open access: yesInformation, 2021
In this journal, we proposed a novel method of using multi-task learning to switch the scheduling algorithm. With multi-task learning to change the scheduling algorithm inside the scheduling framework, the scheduling framework can create a scheduler with
Mohd Hafizuddin Bin Kamilin   +2 more
doaj   +1 more source

Real-Time Fuel Optimization and Guidance for Spacecraft Rendezvous and Docking

open access: yesAerospace, 2022
Autonomous rendezvous and docking (RVD) fuel optimization with field-of-view and obstacle avoidance constraints is a nonlinear and nonconvex optimization problem, making it computationally intensive for onboard computation on CubeSats.
Ahmed Mehamed Oumer, Dae-Kwan Kim
doaj   +1 more source

Multi-Task and Multi-Step Computation Offloading in Ultra-dense IoT Networks [PDF]

open access: yesJisuanji kexue, 2022
With the rapid development of Internet of Things(IoT),various IoT mobile devices(IMDs) need to process more and more computing-intensive and delay-sensitive tasks,which puts forward new challenges for the mobile edge networks.To address these challenges ...
ZHOU Tian-qing, YUE Ya-li
doaj   +1 more source

Application of mathematical optimization in elliptic curve arithmetic

open access: yesБезопасность информационных технологий, 2017
Currently, a lot of standardized elliptic curve cryptographic algorithms are widely used. Due to the constantly increasing execution speed demands, implementation optimization problem become actual.
Alexander Igorevich Skripko   +1 more
doaj   +1 more source

Computational Thrombin Inhibitor Optimization [PDF]

open access: yesBiophysical Journal, 2014
Of the plethora of computational methods for the estimation of binding free energies, molecular dynamics based alchemical approaches provide remarkable accuracy at an affordable computational cost. The computationally less expensive empirical ligand and structure based methods require training a predictive model to yield accurate free energy estimates.
Gapsys, V., de Groot, B.
openaire   +2 more sources

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