在改进

On this basis, according to historical data, apply ANN and differential simulation method to get the quantitatively correlative relations between each production and its own influence factors, and introduce the new methods of prediction for dynamic indexes with gas-field development (The combinatorial prediction method based on fuzzy comprehensive evaluation, the method of ANN to select optimally combinatorial prediction models and the ANN prediction method based on genetic algorithm).(2) Base on mathematical programming, combine with quantitative economics and techno-economics, introduce economical indexes to establish production"s distribution optimal model, production"s constitution optimal model and measured production"s constitution optimal model, including multi-objective models and five-years models. Upon this, the optimal project for all gas field and each gas-collected factory can be got. Also, introduce the time value of capitals to improve on these models.(3) Base on the optimal solution theory and algorithm theory for the nonlinear programming problem, introduce the SUMT algorithm and genetic algorithm to study how to solve the models, and on the basis of normal genetic algorithm, make use of auto-adaptively modulating method to improve on normal genetic algorithm; Base on algorithm"s convergence theory and calculation"s complexity theory to analyze seriatim SUMT algorithm"s convergence and genetic algorithms convergence, and compare performance with each other.

在此基础上，利用神经网络方法和微分模拟方法根据历史数据得到各分项产量与其影响因素之间的定量关联关系，并引入气田开发动态指标新的预测方法(基于模糊综合评判的组合预测方法、神经网络优选组合预测模型预测方法以及基于遗传优化的神经网络预测方法)；(2)以数学规划为基础，结合数量经济学和技术经济学，引入经济指标建立产量分配优化模型、产量构成优化模型、措施产量构成优化模型、气田开发多目标规划模型以及五年规划模型，进而获得全气田及各采气厂的最优方案，并引入资金时间价值对五年规划模型进行改进；(3)以非线性规划问题的最优解及算法理论为基础，引入SUMT算法以及遗传算法对模型的求解进行研究，并在原有的遗传算法基础上，引入自适应调整方法对遗传算法进行改进；以算法的收敛性理论和计算复杂性理论为基础，逐一分析SUMT算法以及遗传算法的收敛性，并比较三种算法的优劣性。

Firstly, the paper expatiates the essence principle of the motion estimation based block matching, introduces Full Search method and several typical motion estimation fast algorithms, and analyzes each characteristic, then to sum up the key technology for increasing the motion estimation search efficiency; Secondly, it stress introduces three motion estimation fast improved algorithms: the improved algorithm based Full Search method, it imports successive elimination algorithm、subsample and termination condition to increase search speed for enhancing the real time of Full Search.

本文首先阐述了基于块匹配法的运动估计基本原理，介绍了全搜索法和几种典型的运动估计快速算法，分析了各算法的特点，在此基础上总结了提高运动估计搜索效率的几个关键技术。接着重点介绍了本文提出的三种运动估计快速改进算法。基于全搜索的改进算法，是在全搜索的基础上尝试引入了连续排除算法、子抽样和终止条件来提高搜索速度，增强全搜索的实时性。

The information hiding algorithm based on modifying the size of the characters is improved by using zooming the characters tinily. This algorithm can embed 2 bit data into every character of source document.

对改变文字大小在Word文本文档中隐藏信息的算法进行了改进，改进后的算法利用轻微缩放字符的比例在Word文本中隐藏信息，信息隐藏量提高到每个字符隐藏2位信息。

Secondly, in the research of fuzzy clustering methods, we gave out several useful formulae and an improved fuzzy transitive closure method according to the degrees of influence of various pyrolysis parameters. We also brought up a modified FCM algorithm according to the different functions of the samples.

其次，在对基于模糊聚类的识别方法研究中，根据各种热解参数在油气层预测中的影响程度，给出了构造模糊相似矩阵的几个有用的公式，以及改进的模糊聚类传递闭包法；根据每个样本点对分类的不同作用，提出了一种改进的模糊C均值算法；试验结果表明，这两种方法都可以有效地提高分类精度。

Study on effect of spillway trough on deposition efficiency of intermittent scouring sand basins;2. Traditional sediment tank has been improved in three aspects by putting an adjusting flow wall in the entrance of water, a spillway trough on spillway crest along the flow direction, redesigning the flush device and an auxiliary fl ush facility.

通过在沉砂池的进水处加调流墙、在溢流堰上沿水流方向设溢流槽、对排砂装置进行改进以及设置辅助冲砂设施三个方面对传统平流式沉砂池进行了改进，设计提出了一种新型平流式沉砂池，可以大大提高沉砂池的沉淀效率，特别是对细颗粒泥砂的沉淀具有很好的效果。

Firstly,we particularly explained the algorithmic of themusic recognition.Then,we made a study of the music characteristic and the musicrecognition methods.As for the burrs of the music signal,we put forward a curveplastic method to eliminate the burrs.Considering the difficulties of detecting thepoint of the music speech,we made use of the multi-frequency energy curve to detectthe end-point of the music signal with the crossing zeros rate.As for thedisadvantages of the large operation and influence of the formant,we improved theAMDF theory with the linear prediction algorithmic to detect the error.In order toobtain the characteristic parameter of the music signal,wo calculate the MFCCparameter to obtain the template and the pending signal characteristic parameter.Inorder to improve the rate of the recognition,considering the disadvantages of theDTW algorithmic,we find a new method to improved the DTW algorithmic bybroadening the point of the music signal and made simulation experimentation;As forthe disadvantages of the contraposition grade to the pitch,cadent and sing name,wefind a method to dynaic adjust the results of the recognition to improve the accuracyof the grade.

详细阐述了嵌入式音乐识别算法的详细设计与实现，研究了音乐语言的特点和音乐识别的侧重点，并阐述了基于音乐信号特色的语音处理及识别方法；针对音乐信号中的毛刺干扰，提出了曲线整形的思想，消除了音乐信号中的毛刺；针对音乐信号端点检测困难的特点，利用多频段能量曲线分割结合过零率来实现端点准确检测；针对音高提取运算量大且容易受共振峰影响的特点，利用线性预测残差的方法对传统的AMDF算法进行了改进并提取出了音高，在实际实现时，优化了AMDF算法，减少了计算量；为了得到较好的特征参数，通过求取梅尔频标倒谱系数的方法，分别提取了模板信号特征参数和待测信号特征参数；为了提高识别率，针对传统DTW算法的缺陷，采用了放宽端点和声刺激法改进了传统的DTW算法的性能并进行了仿真试验，使音乐识别率得到明显提高；在音高、节奏评分时，针对对位评分的缺点，采取了动态调整的方法提高了评分的准确度。

In the article, we put forward improved algorithm that based on analysis and contrapose shortage about the single-exponent smoothness method and compare algorithmic thinking, calculative method and forecast result.

本文针对单指数平滑法中存在的不足，在分析基础上提出改进算法，并就算法思想、计算方法和预测结果进行了比较分析；改进算法在预测精度、非平稳时间序列适应性等方面效果有明显提高，对企业需求预测具有较好的指导意义和参考价值。

Using the improved method, the standard molal enthalpies of solution ＝－29.18 kJ·mol－1 in pure water and ＝－25.79 kJ·mol－1 in aqueous sulfuric acid were obtained, respectively.

借助VOSO4水溶液的离子缔合平衡和硫酸的二级解离平衡，改进了Archer方法，并用这种改进的方法分别估算了VOSO4·2.76H2O在水中的标准摩尔溶解焓＝－29.18 kJ·mol－1，以及在0.5 mol·kg－1硫酸水溶液中的标准摩尔溶解焓＝－25.79 kJ·mol－1。

Considering the difference of the use of clustering algorithms caused by the diffference of data distribution, on the base of the analysis of Kmeans algorithm, fuzzy Cmeans algorithm and genetic algorithm, a new algorithm was brought forward based on the genetic algorithm and the improved neighbor function criterion. In view of the intrinsic connection of the special and the advantage of genetic algorithms wholesearch strategy, to a certian extent, this new algorithm solve the problem about the uncompact and irregular data distribution.

考虑到空间数据分布特性差异造成聚类算法采用的不同，在比较分析K均值算法、模糊均值算法和遗传算法的基础上，提出了改进的近邻函数准则，并有机整合形成遗传算法与改进近邻函数准则的新算法，综合了遗传算法的全局性概率搜索的优点，并考虑到空间数据内在的连接方式，在一定程度上较好地解决了数据的非致密非规则分布问题。

We present an improved DP-MBE SAM; secondly, un-voice analysis is introduced to the DP-MBESAM, so that the improved ASA system can be used not only to separate concurrent vowels but concurrent speech signals with unvoice as well.

针对基于DP-MBE SAM的混叠浊音听觉场景分析系统存在的问题，提出了改进的基于DP-MBE SAM的混叠语音听觉场景分析系统，包括两部分内容，第一，针对DP-MBE SAM在实际的应用中存在的求解矩阵奇异引起的参数模糊及混叠信号谐波频率相同引起的参数模糊问题，借鉴多帧内插方法，提出了改进的DP-MBE SAM；第二，在基于DP-MBE SAM的混叠浊音听觉场景分析系统加入清音分离环节，将系统的应用从浊音推广到含有清浊音的语音信号。

At the rear was an innovative combination transaxle with the gearbox, clutch, differential, and inboard-mounted drum brakes.

在后面是与变速箱，离合器，差的创新结合变速，和内侧安装鼓式制动器。

For more people can apprecaite and have the master work, there is reproduction painting appears in the market, the large various selection of paint,the high saturation of color plus the plentiful sfumato, to make the reproduction perfect copy and detail as original painting, so as to meet the requirment of amateurs who love art paintings,they do not need to pay high price to get classical paintings.

颜料色域广，色彩饱和度高，色彩层次丰富，图像色彩还原真实，能完美的复制原作，满足艺术爱好者欣赏，艺术爱好者们不用支付昂贵的价格就能拥有经典油画。