1)  autoregressive conditional duration model
自回归条件持续期模型(ACD模型)
2)  Auto regression
自回归
1.
An effective method of dynamic power management based on wavelet and AR(auto regression) is proposed to extend life of wireless sensor networks by making economical use of energy.
为了最大限度地节约能量的使用,延长无线传感器网络使用寿命,提出了一种利用小波和自回归的动态功率管理(DPM)方法。
3)  self-tempering
自回火
1.
This paper comprehensively studies the properties of strength and toughness of U-shape steels 20MnK,Q275 on test pieces under various processes of intercritical hardening and self-tempering.
以20MnK、Q275两种牌号U型钢进行试验,全面探索了U型钢经亚温淬火及自回火后的强韧性。
4)  self tempering
自回火
1.
Simultaneous heating and quenching with high power medium frequency equipment for parts of long shaft,adopting special induction coil and adjustable induction coil and self tempering,will improve on medium frequency quenching quality of the parts and raise obviously productivity,thereby cause the enterprise to obtain fine product quality,high productivity and Low production cost.
对长轴类零件采用大功率中频机同时加热表面淬火的方法 ,配以专用感应圈和伸缩感应圈的应用和自回火的应用 ,结果表明 ,可提高零件中频表面淬火质量 ,并大大提高生产效率 ,从而使企业在生产中取得高产品质量 ,高生产效率和低生产成本的极佳效果。
2.
The investigation was conducted on the technique of intercritical hardening by medium frequency induction and self tempering for the high strength bolts.
对高强度接头螺栓进行了中频加热感应亚温淬火及自回火工艺研究。
5)  Autoregression
自回归
1.
Hydrologic forecast model with multidimensional and hybrid regression system is combined by regression and autoregression methods.
多维混合回归系统模型是将回归与自回归结合起来的综合模型。
2.
Meanwhile, the grey forecasting models were improved and it was verified that the time response series had the properties of autoregression.
利用 Z 变换给出 G M (1,1)、 G M (2,1)的时间响应序列,改进了灰色预测模型,同时证明该时间响应序列具有自回归性。
3.
This paper introduces a recurrence formula for estimating the variances of errors of a sequence forecasted by an autoregression model and gives two examples under both smooth and nonsmooth conditions.
讨论了自回归模型的预测误差的方差估计问题,给出了详细的递推计算公式,并给出了平稳序列与非平稳序列的例子各1个。
6)  autoregressive
自回归
1.
This paper proposes a non-linear adaptive filtering method based on analyzing the performance of the conventional adaptive methods in the cases of that the NBI can be modeled as a single tone,an autoregressive(AR) stochastic process or narrow band BPSK digital modulation signals.
在分析线性自适应滤波抑制单频干扰、自回归过程窄带干扰和窄带BPSK调制信号干扰的性能的基础上,提出了一种非线性自适应波抑制方法。
2.
An adaptive spectral-estimation model was established, and the frequency estimation was implemented by autoregressive and adaptive algorithm.
提出了一种基于谱估计的跳频(FH,FrequencyHopping)信号的捕获方法,建立了自回归自适应谱估计模型和算法,通过计算信号频谱估计了跳频信号的瞬时频率。
3.
On the basisof1 Dautoregressive integrated m oving average m odelARIMA (p;d;q), the 2 D m ixed autoregressive m oving average m odel ARMA (m , n; p, q) w as developed.
在一维自回归求和滑动平均模型(ARIMA(p;d;q)的基础上,探讨了其在二维图像空域序列的模型推广。
参考词条
补充资料:AutoCad 教你绘制三爪卡盘模型,借用四视图来建模型
小弟写教程纯粹表达的是建模思路,供初学者参考.任何物体的建摸都需要思路,只有思路多,模型也就水到渠成.ok废话就不说了.建议使用1024X768分辨率

开始
先看下最终效果




第一步,如图所示将窗口分为四个视图




第二步,依次选择每个窗口,在分别输入各自己的视图




第三步,建立ucs重新建立世界坐标体系,捕捉三点来确定各自的ucs如图




第四步,初步大致建立基本模型.可以在主视图建立两个不同的圆,在用ext拉升,在用差集运算.如图:




第五步:关键一步,在此的我思路是.先画出卡爪的基本投影,在把他进行面域,在进行拉升高度分别是10,20,30曾t形状.如图:




第六步:画出螺栓的初步形状.如图




第七步:利用ext拉升圆,在拉升内六边形.注意拉升六边行时方向与拉升圆的方向是相反的.
之后在利用差集运算





第八步:将所得内螺栓模型分别复制到卡爪上,在利用三个视图调到与卡爪的中心对称.效果如图红色的是螺栓,最后是差集




第九步:阵列




第10步.模型就完成了




来一张利用矢量处理的图片


说明:补充资料仅用于学习参考,请勿用于其它任何用途。