Grading Discipline for the Fitting Garment with 45° Four-Piece Extraordinary Diagonal Structure Line

The innovative and unconventional diagonal dividing line fitting clothing is one kind of extraordinary structures. In order to make up the fitting garment,the pattern shape is different from the common structure on garment. Besides that,the way of grading series pattern will be different. The fitting garment with 45° fourpiece extraordinary diagonal structure line was taken for example.The series pattern is made directly and the grading rules are found by analyzing the geometric relationship of each grading point in the corresponding pattern. The research technique for extraordinary structures garment is offered. It gives the pattern-maker in garment industry exact grading data on fitting garment with 45° four-piece diagonal structure line. It has practical and scientific guiding sense.     

双光束光声光谱仪的设计

介绍了双光束光声光谱仪的设计,并用设计成的仪器探测氙灯光源的光声谱,所得结果与其他文献给出的氙灯的发射谱相一致。     

用投影图解说蒙日定理的一个特例

用投影图显示了有公共内切球的两相交圆锥的交线，分析解说了可能产生的全部１１种位置的交线情况，是对蒙日定理一个特例的画法几何解释。     

一种基于条分割及缩放的图像重定算法

提出了一种基于图像条分割的快速图像重定算法．根据像素梯度信息建立图像的能量图,描述图像不同区域及目标的重要性．由各图像列的累积能量,通过类间最大类内最小原理,将一幅图像分割成若干具有一定宽度和能量级的图像条．根据图像的总体缩放尺寸及不同图像条的平均能量,计算各图像条的缩减量．结合标准Scaling和Cropping方法,对图像条进行缩放操作,若边缘图像条缩减量超过一定阈值,裁剪掉该部分内容．实验结果表明,该算法能够同时保护图像的局部结构和全局视觉效果,快速生成保真的高质量重定图像．     

GM(1,1)模型参数估计的新方法及假设检验

ＧＭ（１，１）模型参数估计的新方法及假设检验唐五湘（北京机械工业学院工商管理分院，１０００８５）ＡＮｅＷＭｅｔｈｏｄｏｆＥｓｔｉｍａｔｉｏｎｏｆｔｈｅＧＭ（１，１）ＭｏｄｅｌＰａｒａｍｅｔｅｒｓａｎｄＨｙｐｏｔｈｅｓｉｓＴｅｓｔｉｎｇＴａｎｇＷｕｘｉ...     

补偿型RC积分器在冲击电压测量中的应用

为了配合瞬态数字记录仪测量雷电冲击电压，采用微分积分系统的分区方式。提出了一种过补偿无源积分器。与普通一级或二级无源积分器相比，它可以减小半峰值时间的测量误差，提高输出电压。     

蚁群分区算法在QoS单播路由中的应用研究

随着网络技术的高速发展,新型的多媒体业务应运而生,对网络服务质量(QoS)的要求也更高,如何解决多个约束QoS路由问题,成为新关注的热点,在解决这一问题时,路由算法的选择又是其中的一个核心问题,并且带宽、延时、访问花费是决定选择路径的关键因素.论文针对这一状况构建了带有QoS参数的网络模型,并用基于蚁群算法的邻域分区优化算法对QoS单播路由选择进行仿真实验,该方法改善了蚁群算法在求解大规模网络路由选择的算法复杂度和搜索最优路径的时间.     

青海坎布拉风景名胜区旅游资源评价与开发规划研究

对坎布拉风景名胜区旅游资源进行定性分析与定量评价,认为该地旅游资源层次较高、组合性好,为促进发展,有必要进行深度开发规划.对坎布拉风景名胜区的景点地域功能分区、资源开发组合模型和区内外旅游交通线路进行初步规划,并计算了坎布拉风景名胜区的旅游环境容量.     

New judging model of fuzzy cluster optimal dividing based on rough sets theory

To investigate the judging problem of optimal dividing matrix among several fuzzy dividing matrices in fuzzy dividing space, correspondingly, which is determined by the various choices of cluster samples in the totality sample space, two algorithms are proposed on the basis of the data analysis method in rough sets theory: information system discrete algorithm (algorithm 1) and samples representatives judging algorithm (algorithm 2). On the principle of the farthest distance, algorithm i transforms continuous data into discrete form which could be transacted by rough sets theory. Taking the approximate precision as a criterion, algorithm 2 chooses the sample space with a good representative. Hence, the clustering sample set in inducing and computing optimal dividing matrix can be achieved. Several theorems are proposed to provide strict theoretic foundations for the execution of the algorithm model. An applied example based on the new algorithm model is given, whose result verifies the feasibility of this new algorithm model.