Sentence examples for mode scheme based from inspiring English sources

In this paper, an efficient transmission mode scheme based on Q-learning algorithm is proposed.

In this section, the simulation result is presented in order to show the performance of the proposed transmission mode scheme based on Q-learning.

In this paper, an efficient transmission mode scheme based on Q-learning for CCRNs has been proposed to effectively support the multilateral metric constructed by the time delay, the energy efficiency, and the interference to the PU receiver under the condition in which the network information is not provided.

In this paper, therefore, an efficient transmission mode scheme based on the reinforcement learning for CCRNs is proposed to allow the SU source to effectively determine an optimal action for maximizing a given multilateral metric and to provide operations with low complexity through Q-learning that is a type of the reinforcement learning.

It proposed a sleep mode switching scheme based on analytical results to achieve optimal energy performance according to various traffic conditions.

Specifically, we propose an efficient motion vector reestimation scheme using vector median filtering and a fast intraprediction mode selection scheme based on coarse edge information obtained from integer-transform coefficients.

In a relay-aided cellular network, an opportunistic HD/FD relaying mode selection scheme based on the received signal-to-interference-plus-noise ratio was introduced, which can achieve a high energy efficiency [33].

A fractional order sliding mode control (FROSMC) scheme based on parameters auto-tuning for the velocity control of permanent magnet synchronous motor (PMSM) is proposed in this paper.

To ensure satisfactory control performance for the cable-driven manipulators under complex lumped uncertainties, a new continuous fractional-order nonsingular terminal sliding mode (CFONTSM) control scheme based on time delay estimation (TDE) is proposed and studied in this paper.

A robust sliding mode sensor fault reconstruction scheme based on an LPV model is presented, where the fault reconstruction signal is obtained from the so-called equivalent output error injection signal associated with the observer.

In this article, the verification and validation (V&V) of a fault detection and isolation scheme based on sliding mode observer residual evaluators and threshold-based residual analysis of gyro and thruster faults for the Mars EXpress MEXX) satellite is presented.