With the internal architecture of a QDR and FPGA, the design of QDR controller is achieved.

The implementation of MTI processing based on QDR SRAM and FPGA

利用QDR SRAM和FPGA实现雷达动目标显示的方法

In this paper, using the PLK method and reductive perturbation method, we obtained the second approximation to cnoidal waves at the free surface and interface for the two-fluid system considered in [ 1].

本文考虑[1]中所建立的模式，采用约化摄动法及PLK方法，求得了自由面及界面上的二阶椭圆余弦波。

The effect of decreasing blood fat of PLK elikation poured into stomach on the hyperlipidemia of the rabbits fed with the high-fat forage was studied.

利用花忍艹水煎液对饲高脂饲料家兔进行灌胃，研究其对实验性高脂血症动物降血脂作用。

Based on Moliere expansion potential, the equation of particle motion has been reduced to the nonlinear differential equation and looked for the solution of the equation by PLK method.

本文利用Moliere展开势，将粒子运动方程化为非线性微分方程；并用PLK方法找到了该方程的近似解析解；

Study on bonding technique for 15 PLK spray thrower

15PLK喷淋头的粘接技术探讨

An Application of PLK Method in the Nonlinear Wave Resistance Theory

PLK方法在非线性波阻理论中的应用

This method is expected to prepare other semiconductor QDs. 2.

此方法有望用于其他半导体量子点的合成。

One way was through temperature optimization for QDs growth.

这主要通过以下途径实现：a、通过优化水热法的温度，发现发射绿色荧光的量子点的最佳生长温度是140℃；

The QDs can be prepared in organic phase or in aqueous phase.

量子点的制备方法可分为有机相制备方法和水相制备方法。

All these results give useful experimental references to the site controlled growth of QDs.

这为实现量子点结构的有序化控制生长提供了一定的实验参考。

The originate of PL from nc Si: LH films can be explained by quantum confinement effect and luminescence centers ( QCE LCs) model.

讨论了nc-Si：H光致发光机理，用量子限制-发光中心模型对实验现象进行了解释。

The Quasi-Conforming Element ( QCE) technique is introduced in this paper for calculating the penalty-finite element problems.

本文将拟协调元方法应用于罚函数有限元中。

The Quasi-Conforming Element ( QCE) technique is introduced of constructing penalty finite element of Navier-Stokes Problem.

给出构造Navier－Stokes问题罚有限单元的拟协调元法。

Quantum Evolutionary Algorithm ( QEA) is one kind of new intelligent optimization algorithm, which is a combination of the quantum computing and evolutionary algorithm.

量子进化算法是量子计算和进化算法相融合的产物，是一种新颖的智能优化算法。

But the prematurity and slow convergence are two problems existing in QEA for solving complex optimization problems, and still need to be improved further.

但是这种算法在求解复杂优化问题上仍然存在收敛速度慢和未成熟收敛问题，需要进一步改进。

Quantum-inspired evolutionary algorithm ( QEA) is a kind of evolutionary strategy algorithms inspired by quantum computing.

量子进化算法QEA（Quantum-Inspired Evolutionary Algorithm）将量子理论引入进化计算领域，是一种基于量子计算概念的进化策略算法。

Proposes the use of Quantum-inspired Evolutionary Algorithm ( QEA) in AEC.

提出了量子进化算法在模拟演化电路中的应用。

The function optimization and 0-k knapsack problem experiments show that PEA has apparent superior in application area, searching capability and computation time compared with QEA and canonical genetic algorithm ( CGA).

函数优化和0-k背包问题实验表明，与量子进化算法和传统遗传算法相比，概率进化算法在适用范围、搜索能力和收敛速度上有明显的优势。

QEA is more suitable for parallel structure than the conventional evolutionary algorithms because of rapid convergence and good global search capability.

此外，量子进化算法具有收敛快和好的全局搜索特性，因此它比传统的进化算法更适于并行结构的实现。

An optimal cross-layer design aiming at minimizing the overall packet loss rate ( PLR) is proposed.

提出了一种以系统总丢包率最小化为目标的跨层设计。