The wireframe modeling in for the geometric representation of a part in a cad system

In the article describes several options for the geometric representation of a part in a CAD system. The choice of one or another option depends on the capabilities of the system and on the need for its application to create a control program. Not so long ago, the kulman was the main tool of the design engineer. With the advent of the first personal computers, a real revolution began in the field of design automation. Design engineers immediately appreciated the benefits of "flat scriber." Even the simplest CAD system for two-dimensional design allows you to quickly create various geometric elements, copy fragments, automatically apply hatching and affix dimensions. The main tools in flat design are lines, arcs, and curves. Using the operations of extension, cropping and joining of geometric elements, the creation of an “electronic drawing” takes place. For full-fledged work with flat graphics in the CAM system, additional information on the depth of geometry is needed. The wireframe model represents the geometry of the part in three-dimensional space, describing the position of its contours and faces

метод предварительной обработки

In the article conducted the review of solution to the deconvolution problem is to reverse a twodimensional convolution. The term "deconvolution" covers the most important and widely used image processing methods. The need for such an operation arises in all areas of science related to measurements. There are a large number of papers on deconvolution methods.The deconvolution problem can be solved in several ways. The choice of the most suitable method for solving this problem depends on a number of factors, including the shape and extent of the point propagation function (FRT), the nature of the original image, and the degree of truncation by the frame window of the recording device

BIG DATA и анализ высокого уровня : материалы конференции

В сборнике опубликованы результаты научных исследований и разработок в области BIG DATA and Advanced Analytics для оптимизации IT-решений и бизнес-решений, а также тематических исследований в области медицины, образования и экологии