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The results show that:(1) after MA for 20h, single phase bcc nanocrystalline supersaturate solid solution formed in Fe84Nb7B9 and Fe80Ti8B12 alloys; the thermal stability of nanocrystalline microstructure in Fe80Ti8B12 alloy was improved significantly than that in Fe84Nb7B9 alloy, and the decomposition temperature of supersaturate solid solution decreased in Fe80Ti8B12 alloy.(2) under 30MPa/900℃/0.5h hot-press sintering conditions, the relative density of Fe84Nb7B9 and Fe80Ti8B12 bulk alloys were 96.7% and 95.5%, respectively. Compared with Fe84Nb7B9 alloy (muti-phase microstructure), Fe80Ti8B12 alloy was composed of superfine crystalline (50~200nm) of single phase α-Fe;(3) the magnetic properties of Fe80Ti8B12 bulk alloy σ(subscript s=198.6emu/g, H=54.6Oe were more excellent than that of Fe84Nb7B9 bulk alloy σ(subscript s=162.9emu/g, H=105.1G, it was related to the different phases formed during hot-press sintering and the grain size of nanocrystalline powder.

结果表明：(1)20hMA后，Fe84Nb7B9和Fe80Ti8B12均形成了单相bcc纳米晶过饱和固溶体，相对前者，后者纳米晶组织热稳定性明显提高，过饱和固溶体相分解温度略有降低；(2)在30MPa/900℃／0.5h热压条件下，Fe84Nb7B9和Fe80Ti8B12块体合金相对密度分别为96.7%和95.5%，相对前者，后者由超细晶(50~200nm)单相α-Fe组成；(3)Fe80Ti8B12块体合金软磁性能σ(下标 s=198.6emu/g，H＝54.6Oe明显高於Fe84Nb7B9块体合金σ(下标 s=162.9emu/g，H＝105.1Oe，此与纳米晶粉末在热压烧结过程中所形成相的种类和晶粒尺寸大小有关。

Then, in the procedure of triangulation, we introduce the concept of front splitting and discontinus increasing, so that the procedure can be used to form triangular elements within muti-connected domains with arbitrary boundaries and nodes without any regularity.

然后，在将内部结点和边界结点连成三角形的阵面法中提出了生成阵面增长和分裂的概念，使得该方法能够适应于结点疏密程度变化很大的任意边界内的三角形网格的生成，并能够自动处理多连通域问题。

This article is to achieve the muti-directional computing of real number models, based on multi-directional computation of Unit group models.

根据一阶有限群的多方向计算，实现实数域运算描述的数学模型的多方向计算是本文的目的。

The computational complexity has been reduced about 5 times over against the original one. Moreover, the interpolation and quantization processing of CW is more reasonable; 2. A secondary power normalization algorithm is proposed in this dissertation. This normalization algorithm ensures that the energy sum of SEW and REW is 1. So, the energy ratio of SEW and REW can be achieved only by using SEW energy. This ratio is applied in REW quantization and CW composition; 3. For more efficient quantization for Slowly Evolving Waveform magnitude, Rapidly Evolving Waveform magnitude and power parameters, firstly, by applying the Equivalent Rectangular Bandwidth theory, classifiable multi-codebooks method, analysis-by-synthesis approach and so on, a predictive AbS multi-codebooks SEW magnitude quantization scheme is proposed. In the scheme, pitch information is exploited to determine which codebook is searched; secondly, for REW magnitude quantization, this dissertation proposed a DCT-matrix multi-codebooks quantization scheme. The classification in muti-codebooks is based on pitch and quantized SEW power. The multi-codebooks structure may offer more the information in quantization and solve the problem of the bit requirement limits in quantization by consuming some extra storage space; Furthermore, for the switch quantization of CW gain, a new classified parameter is proposed.

本文的主要贡献体现为如下几方面：一、为了减少WI模型的计算复杂度，提出了基于快速傅立叶变换、三次B样条插值和周期延拓技术的特征波形(Characteristic Waveform，CW)表示和对齐的快速算法，与原方法相比，计算量下降到原方法的1/5，同时也使得CW在插值和量化时更合理；二、为了严格保证SEW与REW的能量和为1，提出了一种特征波形的二次功率归一化算法，仅需要SEW能量就可以算出二者的能量比，并可应用到后续的REW的分类量化和CW合成中；三、为了对慢渐变波形(Slowly Evolving Waveform，SEW)幅度、快渐变波形(Rapidly Evolving Waveform，REW)幅度和特征波形功率进行有效量化，本文首先采用临界频带理论、分析合成技术、感觉加权技术以及预测式矢量量化技术，提出了一种基于基音周期分类的SEW分析合成预测式多码书量化方法；其次，本文根据基音和量化后SEW的功率信息对REW幅度进行分类，提出了一种基于离散余弦变换的REW矩阵多码书量化方法。

It's found that the aromatic dinitro compounds can be monoreduced to nitroanilines in high selectivity, aromatic nitro compound s and muti.

本文旨在探索一种具有先进性和创造性的催化方法，利用一氧化碳在温和的条件下高选择性地还原芳香硝基化合物制备芳胺。

It's found that the aromatic dinitro compounds can be monoreduced to nitroanilines in high selectivity, aromatic nitro compounds and muti-cycle aromatic nitro compounds can be quantitively reduced to the corresponding amine by selenium catalyst with CO/H2O in polar aprotic solvents under atmospheric pressure using medical inorganic bases as co-catalysts.

在实验的基础上提出了对硒催化CO/H_2O还原芳香硝基化合物机理的一些粗浅认识。

Soil surface charge was measured with the potentiometric back-titration technique, and its characteristics evaluated with the Multi-Langmuir model.

用返滴定技术测定土壤的可变电荷量，应用Muti-Langmuir模型评价土壤的表面电荷特性。

The major achievement of this paper is: Based on characteristics of the traffic data distribution, execute pattern recognition operations on traffic condition on two dimensions by clustering, then use BP neural network to describe and forecast traffic flow aiming at each pattern. Making use of classic flow-occupancy inverse "V" model, implement polynomial fitting using least-squares algorithm and statistics method on flow curves to detect outliers which are proved to be not accord with practice through the actual implement, then use the moving average model to recorrect the outliers and absent. Make correlation analysis on muti-direction flow queues of the intersection and ones of upriver intersections, choose flow queue with high correlation as assistant one to improve the error tolerance of the prediction system, at the same time we can use the method to give an estimation of flow in intersection with out sensors. We design and implement an SOA(Service-Oriented Architecture)-based UTDD(urban traffic data mining development) with high expansibility and performance, which implement unified management and call of the data-mining application though defining a XML-based description of data-mining process and a common interface to call data-mining process, finally we build traffic flow prediction application model on UTDD.

根据交通流量数据分布的特征，提出基于k-means的二次聚类方法，对交通流量在流量大小和时间上进行模式划分，进而对各个交通流模式进行基于BP神经网络的描述和预测，从而提高模型对流量预测的精度； 2）根据流量/时间占有率倒&V&字形曲线分布模型，提出基于最小二乘法的三次多项式曲线拟合和统计方法的异常检测方法，实际应用表明该方法能够有效识别异常数据，然后根据移动平均算法对异常数据进行修正； 3）基于序列相关性分析，分别对预测方向的交通流量数据序列、上游路口相关序列以及预测路口其它各个方向上的交通流量序列进行分析，选择相似性流量序列，作为辅助序列提供其他没有检测器路口的流量估计； 4）设计和实现了基于SOA（Service-Oriented Achitecture）的高性能、可扩展的智能交通数据挖掘系统UTDD，该系统通过定义基于XML的数据挖掘过程描述和通用的过程模型接口，实现数据挖掘应用的统一管理和调用，最后在UTDD上建立了基于路口流量预测的应用模型。

OPP film,CPP film,PET film,Heat sealable film,Release film,Vacuum bag,Anti-static film,Muti-layer laminated material...

OPP膜，CPP膜，PET膜，热封膜，离型膜，真空袋，抗静电袋，束带，软性包装材料。。。

At the same time, Full Wise International ltd has consistently adhered to the concept -"professional, dedication, honesty and efficiency", providing professional technical support and a good business co-operation,Establishing strategetic business relationship with some muti-national OEM and EMS.

与此同时，我公司一贯坚持&专业、专注、诚信、效率&的理念，提供专业的技术支持和良好的业务协作，致力于在各项增值服务方面为客户带来更强大的支持，并与许多国际型的OEM、EMS建立了策略性的商业合作伙伴关系。

Finally, according to market conditions and market products this article paper analyzes the trends in the development of camera technology, and designs a color night vision camera.

最后根据市场情况和市面上产品的情况分析了摄像机技术的发展趋势，并设计了一款彩色夜视摄像机。

Only person height weeds and the fierce looks stone idles were there.

只有半人深的荒草和龇牙咧嘴的神像。