Sentence examples for realization methods for the from inspiring English sources

Future work will focus on the study of different realization methods for the MCA structure and the extension of the accurate modulation recognition part to some complicated or hybrid modulations.

The method is an extension of truncated balanced realization method for the general descriptor system.

The STLBO algorithm inherits the main idea of the teaching learning-based evoluteaching learning-basedthevolutionaryithmechanismthe realization method fromthe evoluTLBOalgorithmnism and the adaptation methods for the algorithm parameters are different.

In this paper, most common realization methods for achieving various dark spots with circular polarization beam were summarized and simulated.

In general, task realization methods for a mobile robot can be divided into two groups: 1) methods to generate motion reactively based on information from sensors (without developing a task plan) and 2) methods for which a task plan is developed before the robot starts to move based on this plan, called off-line plan.

We put forward an engineering realization method for security protocols.

In this paper, we propose a realization method for a rearrangement task involving multiple movable objects and mobile robots.

In the report, the influence of hydrodynamics of the loop with heavy liquid metal coolants (Pb and Pb Bi) on the realization methods and efficiency of the coolant technology for the reactor installations of loop, improved loop and mono-block type of design has been studied.

In this research, we explored methods for the realization of semidry and dry drawing in order to resolve the above issues.

Firstly, the basic principle and the realization method of GSDPWM for three-phase inverters are explained, which can be employed for different modulation types.

This paper proposes a set of efficient methods for the hardware realization of the conductance-based neuron model with relevant dynamics, targeting reproducing the biological behaviors with low-cost implementation on digital programmable platform, which can be applied in wide range of conductance-based neuron models.