NKH and NDC can significantly reduce heart rate under+ Gz exposure and improve heart reserve.

To select an appropriate algorithm for DEM matching, this paper reviews the development of the two popular 3D surface matching algorithms, least z-difference ( LZD) and iterative closest point ( ICP), and describes their common logical framework.

为了选择一种更适合数字高程模型匹配的算法，首先回顾了目前广泛使用的两种3维表面匹配算法&最小高差算法和最近点迭代算法的发展，并给出了二者共同的逻辑框架；

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The research result shows that its matching accuracy is higher than that of the M-LZD ( LZD using M-estimator) and LMS-LZD ( LZD using least-median-of-squares estimator) algorithms.

结果表明，新方法的匹配精度比目前代表性的采用M-估计的LZD算法（M-LZD）和采用最小平方中位数的LZD算法（LMS-LZD）的精度高。

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Through analyzing the algorithm principle and the transformation parameters relationship, the author puts forward slope-smoothing technique to strengthen and improve the pull-in range of LZD and the matching automatization degree.

通过分析匹配算法原理和转换参数相对关系，提出了增强LZD算法拉入范围的坡度平滑技术，改善了LZD算法的拉入范围，增强了匹配自动化程度；

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This article gives the LZD matching technique in 3D free-form surface matching without control points based on Grid-DEM.

针对三维自由表面匹配问题，实现基于LZD算法进行无控制DEM匹配，克服了控制点布设的困难。

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Therefore, LZD is more appropriate for DEM matching with small pose different.

因此，对于表面姿态差异较小的DEM匹配而言，LZD算法更加适合。

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Development of DoD Variable Displacement System in LZD Engines

LZD发动机DoD可变排量系统的开发

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Comparison of LZD and ICP Algorithms in DEM Matching without Control Points

用于无控制DEM匹配的LZD和ICP算法的比较

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This paper describes a new nonlinear filtering algorithm ( NLF) for tracking maneuvering targets, presents reasonable maneuvering likelihood function, derives estimating equations.

描述了一种新的机动目标非线性跟踪算法（简称NLF算法），提出了合理了机动似然函数，导出了机动概率估值方程。

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Simulation results show that the NLF algorithm has advantages of both less computations and better tracking performance, therefore, it can be widely used in radar engineering.

仿真结果表明，NLF算法具有计算量小、跟踪性能好等特点，有较好的工程应用价值。

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Numerical Design Method for Modern NLF Airfoils

现代自然层流翼型的设计方法

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Making Operation Document is an important job in C 3I system. It will be an effective method to generate Operation Document by Natural Language Generating ( NLG) theory.

作战文书拟制是C3I系统中的重要工作，利用自然语言生成理论实现作战文书的自动生成可大大提高文书拟制的效率。

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A Meta-Rule-Based Approach to NLG Rules Interpretation

一种基于元规则的自然语言生成规则解释技术

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A Hybrid Planning Method Based on Schema and RST in NLG

基于Schema和RST的自然语言生成混合规划方法

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The NLG theory has provided nicer concept base for the automatic generation of Operation Document.

自然语言生成理论已为作战文书的自动生成提供了良好的概念基础。

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Mainly it discusses two problems: software instruments of viscosity and flash point using neural networks and operation optimization on the atmospheric and vacuum towers using NLJ method.

主要探讨了两个方面的问题：采用神经网络建立各个侧线粘度和闪点的软测量仪表以及采用NLJ方法实现常减压塔的操作优化。

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The2 tables in QB2 are joined with nested loop join ( NLJ)

QB2中两个表用嵌套循环（NLJ）连接。

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Based on system identification with recursive least squares method, the NLJ optimizing algorithm is used to tune the PID control parameters.

在运用递推最小二乘法在线辨识系统模型参数的基础上，采用NLJ方法（随机数直接搜索法）以ITAE（时间乘误差绝对积分）指标最优为目标对PID控制参数寻优整定。

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Optimized PID Parameter Tuning Using NLJ Method

基于NLJ方法的PID控制参数寻优自整定

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The characteristic of NLJ method is high convergence rate and can economize calculating time.

NLJ方法的特点是提高收敛速度，节省计算时间。

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Multivariable Predictive Functional Control Based on NLJ Optimization Algorithm

基于NLJ优化算法的多变量预测函数控制

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