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First, the traffic flow time series chaotic feature is extracted by chaos theory. pretreatment for traffic flow time series, and the wavelet neural networks model was build by this. Second, the chaotic mechanism and the chaotic probability is described. Based on chaotic learning algorithm, and the wavelet neural networks fast learning algorithm of traffic flow time series is designed based on chaotic algorithm. Last, a single-step and multi-step prediction of traffic flow chaotic time series is researched by BP neural networks, wavelet neural networks and wavelet neural networks based on chaotic algorithm. The results showed that the wavelet neural networks predictive performance is better than the BP networks and the wavelet neural networks by the simulation results and root-mean-square value.

首先，通过混沌理论提取了交通流量时间序列的混沌特征，并在此基础上建立了小波神经网络交通流量时间序列模型；接着，阐述了混沌学习算法的混沌机理、混沌产生的概率，设计了基于混沌算法的小波神经网络交通流量混沌时间序列快速学习算法；最后利用交通流量混沌时间序列对BP网络、非混沌算法的小波神经网络以及基于混沌算法的小波神经网络进行了单步预测和多步预测，并对预测结果的仿真图和真实值与预测值的方均根进行了比较，结果表明基于混沌学习算法的小波神经网络的预测性能明显优于应用BP网络和非混沌算法的小波神经网络。

This sample code separates a time interval into seven variables for ' the following values: days, hours, minutes, seconds, total time in ' hours, total time in minutes, and total time in seconds.

如果要解决时间值大於 24 小时所造成的问题，您可以使用 Visual Bacis 中的 Int 和 CSng 函数，将计算的时间值分成不同的日、时、分及秒的变数。

Propose a real-time expanding scheme for UNIX System V. Propose and design a new time-and-priority driven process scheduling strategy, which can unify real-time process, kernel process and time-sharing process for scheduling. Design a new concurrence control strategy for UNIX, which can support priority inheritance. Add the sequential file operations to the UNIX random file system and design a high accuracy clock timer.

对UNIX System V提出了一套实时扩充方案，提出并设计了一种新的基于时间和优先数两者驱动的进程调度策略，对实时进程、核心进程和分时进程统一调度；设计了一种新的允许继承进程优先数的并发控制策略；在UNIX随机文件系统的基础之上扩充了连续文件操作；并且设计了高精度的时钟处理程序。

In this paper, a CWE model of the distance education system is provided. In order to enhance the bandwidth utilization factor, a transfer method based on multi-channel is presented. Both the transmission of real-time media stream and time-stamp technologies are introduced to the system to ensure the requirement of real-time characteristic and synchronism, and a simple protocol based on RTP (Real-time Transfer Protocol) and UDP is designed. The method, event simulcast, is also brought forward to reduce the data redundancy and expand the collaboration scale of the system.

本文给出了远程教学的协同工作环境模型；设计中为了提高系统带宽利用率，采用一种更符合实际应用要求的"单播+广播"的有效通信方式；为了解决音视频同步问题，参考实时媒体流和时间戳同步技术，设计了一个基于用户数据报协议UDP和实时传输协议RTP的简单传输协议，实际应用中保证了数据的实时性和同步性；系统采用基于显示同播的事件同播方式，这样在一定程度上降低了数据冗余，同时扩大了系统的用户数量。

Main job is to guarantee the scraping interaction and equipment on both sides of the friction surface or can obtain higher precision and accuracy, precision and shape accuracy, precision and contact transmission because of good lubrication, manual and repeatedly is worthy, large amounts of wind, time-consuming, scraping the time needed for different devices vary, such as boring slider and slide block wind profiling, between the match before measuring clearance between the original value, and then according to the technical requirement to measure the value of time and scraping scraping, then apply DanFen red on the slider, manual let slip on the slide seat back and forth, they do straight-line movement between full contact and friction, reoccupy scraper scraping friction creates the contact point, so repeatedly, until the technical requirements for the match, single within 2 days, must blow to the boring if all the time to work with wind, a half month is required.

刮削过程。刮削工作主要是为了保证设备相互接触并摩擦的两面间能获得较高的尺寸精度、形状精度、位置精度、接触精度、传动精度和良好的润滑，因是手工操作且需反复配刮，故工作量大，耗时较长，设备不同，刮削所需时间也各不相同，例如镗床上滑座与下滑座间的配刮，刮削前先测量出二者之间原有的间隙值，然后根据工艺要求测算出需刮削值及每次的刮削量，再将红丹粉涂于上滑座之上，手工让上滑座在下滑座上来回做直线运动，使它们之间充分接触和摩擦，再用刮刀刮削摩擦产生出的接触点，如此反复多次，直至技术要求范围之内，单此项配刮需2天左右，若对于整个镗床所有配刮工作的时间总和，则需半个月左右。

The relation between the parameter of ground motion and time is transformed into a pure random process with the amplitude varying with time. Based on the concept that there is the scaling invariant fractal structure in the transmission of earthquake motion and the self-affinity of the ground motion signal in time domain, an assumption is deduced that the curve of the stationary random noise of the ground motion varying with time is a fractal graph.

将一个运动参数的时间变化过程转化为具有时变振幅的一个纯随机振荡问题，运用地震运动传递具有无特征尺度的分形结构和地运动时域信号具有统计自相似性的概念，提出地面运动随机平稳噪声的时变曲线是一条分形曲线的假设。

In the aspect of the study of the application of HHT method, This dissertation has done three part of jobs: first, the Elcentro strong ground motion which is in common use in earhtquake engineering is analyzed by HHT method, getting its amplitude-frequency-time distribution and the comparison between the HHT marginal spectrum and Fourier spectrum is also made; second, the typical nonlinear system defined by the Duffing equation is analyzed by HHT method, getting its numerical value's amplitude-frequency-time distribution and the comparison between the HHT marginal spectrum and Fourier spectrum is also made; third, define the stationary degree of non-stationary signals making use of 3-D time-frequency spectrum and marginal spectrum, the stationary degree curve of Elcentro seismic recording is protracted according to its defining formula, the stationary degree curve of Elcentro seismic recording which change with time is protracted according to similiar definition.

在HHT方法的应用研究方面，本文做了三部分的工作：首先，利用HHT方法分析了地震工程中常用的Elcentro非平稳强震记录，得到了该记录的振幅－频率－时间分布特性，并将得到的边际谱与傅立叶谱做了比较；其次，应用HHT方法分析了典型的非线性系统－Duffing方程，得到了该方程数值解的振幅－频率－时间分布特性，并将得到的边际谱与傅立叶谱做了比较；最后，利用三维时频谱与边际谱定义了非平稳信号的平稳度，并依照其定义式绘制了Elcentro地震波记录的平稳度曲线，依照类似与依赖与频率变化的平稳度定义，初步尝试编程绘制了Elcentro地震波随时间变化的平稳度曲线。

Some non-stationary time series can be decomposed into several approximate stationary time series with wavelet decomposition.Decomposed time series are forecasted with auto-regression model,to obtain forecasting results of the original time series.

通过小波分解可以将某些非平稳时间序列分解成多层近似意义上的平稳时间序列，然后采用自回归模型对分解后的时间序列进行预测，从而得到原始时间序列的预测值。

The disturbance model can give the prediction for all the 95 shock events, while STOA model works for 89 events and ISPM model for only 72 events. We arrive at 25.26% percentage of all the 95 events with the relative time error less than 10%, 50.53% of all the events with the relative time error less than 20%, 65.26% of all the events with the relative time error less than 30%, 31.58% of all the events with the relative time error between 60%~80

实验表明，我们的模型在所有95个事件中，渡越时间相对误差小于10％的事件数占总事件数的25.26％；相对误差小于20％的占总事件数的50.53％；相对误差小于30％的占总事件的65.26％；相对误差在30％～60％的之间的事件数有30个，占总事件的31.58％；有3个事件相对误差在60％～80％之间，没有哪个事件相对误差大于80％。95个事件中我们的扰动传播模型能对所有事件进行分析给出预报值，STOA模型能给出89个预报值，而ISPM模型则只能给出72个。

Time of the eastpart part of United States of dispatch of sina science and technology on May 5 6:30(Beijing time on May 5 18:30) message, perfect and spatio-temporal will press at time of American the eastpart part on May 18 (Beijing time on May 18) release before open quotation of American stock market up to March 31, 2009 2009 sign up for without audit money first quarter.

新浪科技讯美国东部时间5月5日6：30(北京时间5月5日18：30)消息，完美时空将于美国东部时间按5月18日(北京时间5月18日)美国股市开盘前发布截至2009年3月31日的2009年第一季度未经审计财报。

Nowadays, most of research are to build a transmutative Petri Nets through adding controlling place sets, controlling arc sets and controlling policy to the basic Petri Nets, while the Controlled Petri Nets could be used to argue many controlling theory problems conveniently and to induce many logically and physically supervisory and solve the Event Feedback Controlling Problems and State Feedback Controlling Problem in DEDS supervisory theory.

目前大多数的研究表现为在变形后的受控Petri网基础上，利用各种方法求得各种逻辑型、结构型控制器，解决DEDS监控理论中的事件反馈控制问题与状态反馈控制问题。

On one hand, there are discussions with the works council and union about extension of short time working up to the end of September.

一方面，有讨论，工程理事会和联盟关于延长工作时间短至9月底。