Articles with "execution time" as a keyword



Photo from wikipedia

Execution time determines the outcome of the multicenter randomized controlled trials.

Sign Up to like & get
recommendations!
Published in 2017 at "International journal of cardiology"

DOI: 10.1016/j.ijcard.2016.12.070

Abstract: OBJECTIVES Multicenter randomized controlled trials are the core of evidence-based medicine. Our study aimed to investigate the key factor which determined the outcome of the multicenter randomized controlled trials. METHODS We searched publications in PubMed… read more here.

Keywords: controlled trials; execution time; randomized controlled; multicenter randomized ... See more keywords
Photo by jontyson from unsplash

Application-oriented offloading in heterogeneous networks for mobile cloud computing

Sign Up to like & get
recommendations!
Published in 2018 at "Enterprise Information Systems"

DOI: 10.1080/17517575.2017.1287432

Abstract: ABSTRACT Nowadays Internet applications have become more complicated that mobile device needs more computing resources for shorter execution time but it is restricted to limited battery capacity. Mobile cloud computing (MCC) is emerged to tackle… read more here.

Keywords: time; application; execution time; mobile cloud ... See more keywords
Photo by jontyson from unsplash

A lightweight learning-based decoding algorithm for intraneural vagus nerve activity classification in pigs

Sign Up to like & get
recommendations!
Published in 2022 at "Journal of Neural Engineering"

DOI: 10.1088/1741-2552/ac84ab

Abstract: Objective. Bioelectronic medicine is an emerging field that aims at developing closed-loop neuromodulation protocols for the autonomic nervous system (ANS) to treat a wide range of disorders. When designing a closed-loop protocol for real time… read more here.

Keywords: time; execution time; classification; lightweight learning ... See more keywords
Photo by jontyson from unsplash

EXTES: An Execution-Time Estimation Scheme for Efficient Computational Science and Engineering Simulation via Machine Learning

Sign Up to like & get
recommendations!
Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2929800

Abstract: In recent years, computational science and engineering (CSE) simulations using high-performance computing resources are actively exploited to solve complex domain-specific problems. Thanks to the remarkable advance of IT technology, the CSE community is challenging more… read more here.

Keywords: time; time estimation; execution time; simulation ... See more keywords
Photo by jontyson from unsplash

Software-Level Memory Regulation to Reduce Execution Time Variation on Multicore Real-Time Systems

Sign Up to like & get
recommendations!
Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3203702

Abstract: Modern real-time embedded systems are equipped with multi-core processors to execute computationally intensive tasks. In multi-core architecture, last-level cache memory is shared by cores. The shared cache becomes a non-deterministic resource, which affects the independent… read more here.

Keywords: time; execution time; variation; real time ... See more keywords
Photo from wikipedia

Automated Performance Modeling of HPC Applications Using Machine Learning

Sign Up to like & get
recommendations!
Published in 2020 at "IEEE Transactions on Computers"

DOI: 10.1109/tc.2020.2964767

Abstract: Automated performance modeling and performance prediction of parallel programs are highly valuable in many use cases, such as in guiding task management and job scheduling, offering insights of application behaviors, and assisting resource requirement estimation.… read more here.

Keywords: execution; performance; automated performance; performance modeling ... See more keywords
Photo from wikipedia

ERPOT: A Quad-Criteria Scheduling Heuristic to Optimize Execution Time, Reliability, Power Consumption and Temperature in Multicores

Sign Up to like & get
recommendations!
Published in 2019 at "IEEE Transactions on Parallel and Distributed Systems"

DOI: 10.1109/tpds.2019.2906172

Abstract: We investigate multi-criteria optimization and Pareto front generation. Given an application modeled as a Directed Acyclic Graph (DAG) of tasks and a multicore architecture, we produce a set of non-dominated (in the Pareto sense) static… read more here.

Keywords: power consumption; execution time; reliability;
Photo by jontyson from unsplash

Ensuring confidentiality and privacy of cloud data using a non-deterministic cryptographic scheme

Sign Up to like & get
recommendations!
Published in 2023 at "PLOS ONE"

DOI: 10.1371/journal.pone.0274628

Abstract: The amount of data generated by electronic systems through e-commerce, social networks, and data computation has risen. However, the security of data has always been a challenge. The problem is not with the quantity of… read more here.

Keywords: execution; confidentiality privacy; time; execution time ... See more keywords
Photo from wikipedia

Design and Validation of a Test to Evaluate the Execution Time and Decision-Making in Technical–Tactical Football Actions (Passing and Driving)

Sign Up to like & get
recommendations!
Published in 2023 at "Behavioral Sciences"

DOI: 10.3390/bs13020101

Abstract: Reaction time and decision-making (DMA) in football have usually been evaluated using edited images or videos of game situations. The purpose of this research is to design and validate a test that simultaneously evaluates execution… read more here.

Keywords: time decision; decision making; execution time; test ... See more keywords
Photo from wikipedia

FPGA-Based Implementation of MMC Control Based on Sorting Networks

Sign Up to like & get
recommendations!
Published in 2018 at "Energies"

DOI: 10.3390/en11092394

Abstract: In Modular Multilevel Converter (MMC) applications, the balancing of the capacitor voltages is one of the most important issues for achieving the proper behavior of the MMC. The Capacitor Voltage Balancing (CVB) control is usually… read more here.

Keywords: implementation; control; sorting networks; execution time ... See more keywords
Photo from wikipedia

Implementation of Extended Kalman Filter with Optimized Execution Time for Sensorless Control of a PMSM Using ARM Cortex-M3 Microcontroller

Sign Up to like & get
recommendations!
Published in 2021 at "Energies"

DOI: 10.3390/en14123491

Abstract: This paper addresses the implementation and optimization of an Extended Kalman Filter (EKF) for the Permanent Magnet Synchronous Motor (PMSM) sensorless control using an ARM Cortex-M3 microcontroller. A various optimization levels based on arithmetic calculation… read more here.

Keywords: cortex microcontroller; time; arm cortex; execution time ... See more keywords