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Article describes a kind of the quick proofing process of carton. The digital mode of the quick proofing process of carton is scientific practical and accuracy, which is based on computer-aided design (CAD) technology. It can design carton Structure profile, which can be virtually proofed in the software. Combined digital proofing with digital mould technology, it can build a integration mode of software and hardware of carton device . Using the program to drive carton device,it can be realized that the digital proofing and cutting and creasing process of carton.

This paper studies the bending deformation of plastic honeycomb panels, with analysis of the plastic honeycomb panel with the basic structure and some of the features and application fields and future. This Article obtained the relationship between honeycomb apertures and bending strength by SimulationXpress computer simulation MOR experiments, draws a continuous aperture - strain curve, Analysis of the pore size of honeycomb panels - strain curve characteristics. By analyzing the bending deformation of cellular mechanical properties of plate and found the plastic deformation of honeycomb plate bending model of an ideal honeycomb aperture, which for plastic honeycomb panels in furniture and other applications, such as the construction sector has an important significance. Honeycomb plate by drawing a continuous curve of the bending deformation, which is the choice of plastic honeycomb panel bending strength and pore structure within the cellular significance in the design. This is the field of plastic honeycomb panels in furniture and other engineering applications have some reference and guidance.

With the high-speed development of modernization, the pace of life is also accelerating. Catering to the development of modernization, a lot of convenient fast food is also becoming increasingly popular among the consumers. But the convenient instant food, especially instant noodles which require “secondary processing” ,need large package volume, which takes a lot of room in the shelves and is often not conducive to carrying and transporting. Therefore, this topic primarily aims at design thing a series of new green collapsible paper fast-food boxes, to solve problems such as the space-saving, transportation stacking, being portable and so on, in the meanwhile meeting the needs of sustainable development. The design of collapsible fast-food boxes is based on AtriosCAD. And the structure adopts the most commonly used packaging carton folding method, so the packaging form is simple and processing cost is low. This design uses folding structure and the volume when open is as large as when it is on transportation, which makes it easy to be transported and carried, greatly reducing logistics costs; this structure uses the novel folding method, which enables consumers to use the box simply and conveniently.

Algorithm design of iris outer edge location is one of keys in iris recognition. It dose ask for an excellent performance as well as an acceptable running time. Low-level technologies and simple classifiers are employed in this paper to meet these needs. First of all, we propose a gradient computation for point detection to ensure a shorter running time. In this part, points can be located as many as possible. Then classifiers distinguish points on fake boundaries and iris boundaries. The number of points will be dramatically cut down. One classifier bases on the characteristic shape of irises, one bases on the distances between points and pupil's center and the other bases on gray gradient of each point. At last, LSE (least square method) is employed to fit a curve of iris boundaries. The algorithm has been verified by experiments. The correct rate exceeds to 99% for public databases CASIA, while the running time is shortened to about 80ms.

Urban and rural coordinate employment is a complex and huge dynamic economic system. Much of the information in it are neither black nor white, but grey situation. So, it was appropriate use to be analysis. Evaluation model on urban-rural employment was set, by upgraded grey thesis for appraisement, and then give a qualitative analysis to Shaanxi province.

Iris image preprocessing, including iris localization and iris image quality evaluation, is the key step in iris recognition and has a close relationship to the accuracy of matching. So far, there are many iris localization algorithms having been proposed. In this paper, we propose a new iris localization algorithm, in which we adopt edge points detecting and curve fitting. After this, we set an integral iris image quality evaluation system that is necessary in the automatic iris recognition system. All the procedures of the algorithm are proved to be valid through our experiment on 2400 iris images from CASIA (The Institute of Automation, Chinese Academy of Sciences) database.