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Zhang M.,Guizhou Financial Institute | Wen J.,Guizhou Financial Institute | Zhang Z.,Wuhan University | Zhang J.,Wuhan University
Zhongguo Jixie Gongcheng/China Mechanical Engineering | Year: 2010

An improved ICP (iterative closest points) algorithm was researched, which was based on discrete corresponding characteristics and error estimation of mean volume of three pyramid shaped by point and corresponding triangle between two surfaces, and it was used to align multi-view laser point cloud. Namely the registration of laser point cloud was instructed by searching effective point and corresponding triangle pair between two point cloud area and taking the spatial three-pyramid volume shaped by these point and corresponding triangle as error measure; then the new spatial position translation relation was estimated by using the point and the centroid of corresponding triangle as corresponding point pairs. The experimental results indicate the align accuracy of the improved algorithm is higher and its speed is faster than that of traditional ICP registration algorithm.


Wen J.-H.,Guizhou Financial Institute | Mei Z.,Guizhou Financial Institute | Wei X.,Guizhou Financial Institute
Applied Mechanics and Materials | Year: 2011

Quadric surface is an important part of complex object and free form object, showing its graphics is hot research of computer graphics and 3D data visualization. Researching quadric and deducing the process of its classification. Taking three 3D graphics commands contour 3, ezmesh and ezsurf as main line, it is analyzed that 3D drawing function of Matlab7. It comes true that programming is to draw 3D graphics of all kinds of quadric, and it was compared that various graphics results, it can provide reference for computer mapping of any other surface objects. © (2011) Trans Tech Publications, Switzerland.


Wen J.,Guizhou Financial Institute | Zhang M.,Guizhou Financial Institute | Yu X.,Guizhou Financial Institute
Applied Mechanics and Materials | Year: 2012

With the rapid social development, information technology has become a kind of background information society culture. Modern information technology in mathematics teaching, widely used, can be changed for fun, experience dull knowledge acquisition, Change to move, static highlight the importance and break through the difficulty, Change single for multivariate, increase the knowledge the density, Feedback timely, facilitate teachers adjusting teaching behavior. This paper mainly discusses PowerPoint and Matlab7 software in the teaching of mathematics applying.


Zhang M.,Guizhou Financial Institute | Wen J.,Guizhou Financial Institute
Communications in Computer and Information Science | Year: 2011

Feature extraction is the key technology in 3D modeling and recognition. By using points cloud data's processing methods based on grid and points set synthetically, first it was proposed that a watershed region increasing segmentation method based on binary morphology for range image, then it was researched that fitting parameter equation of quadric patch by adopting the eigenvector estimate method of linear least squares, finally it were analyzed that the extraction technologies of differential coefficient invariant and movement invariant under Euclid transform. © 2011 Springer-Verlag.


Jing-Hua W.,Guizhou Financial Institute | Mei Z.,Guizhou Financial Institute | Xi Y.,Guizhou Financial Institute
Research Journal of Applied Sciences, Engineering and Technology | Year: 2012

In the economical field, mathematical expectation is one of the important digital characters of the random variables. Many decision variables in economy problem are random variables; it is difficult to define their concrete distribution. In this study, based on mathematical statistics method and finite difference theory, we resolve the economical decision questions using the mathematical expectation. Moreover, the application of mathematical expectation in economical question was analyzed by example from two aspects of investment decision and sales profits. The results in our analysis show that mathematical expectation plays a great application in production and sales profit. © Maxwell Scientific Organization, 2012.


Wen J.-H.,Guizhou Financial Institute | Jiang H.,Guizhou Financial Institute | Zhang M.,Guizhou Financial Institute | Yu X.,Guizhou Financial Institute
Key Engineering Materials | Year: 2011

The dynamic programming has significant implications for solving multi-stage decision of resource allocation problems. By inducting phase, state of variables and decision, the factory assembly line resource allocation problems was taken as a multi-stage decision process. The stage of resource allocation was divided in reason, and the dynamic programming equation was built with "Top-Down" ways to reverse recursion according to the dynamic programming principle and methods. Adopting the MATLAB7.0 as development platform, it was convenient for calculating optimal decision sequence and maximum total profits. Dynamic programming method has obvious effect in equipment resource allocation output issues, and brings in the biggest economic benefits in limited investment. © (2011) Trans Tech Publications.


Zhang M.,Guizhou Financial Institute | Wen J.H.,Guizhou Financial Institute | Xiao W.,Guizhou Financial Institute
Applied Mechanics and Materials | Year: 2011

Dynamic programming algorithm is classical strategy to solve the optimization problem. The distributing of enterprise resource is a multistage decision problem, having the characteristic of dynamic programming algorithm. We establish distribution of mathematical model of planning target, using dynamic programming principle and method to divide enterprise resource allocation stage reasonably, and then we use the recursion method to structure dynamic programming equation from the bottom up. Using VC++6.0 development platform is to compute the optimal decision-making sequence and maximum of profit. Dynamic programming makes optimum resource allocation for an enterprise, and it is high application value in resource allocation. © (2011) Trans Tech Publications.


Wen J.-H.,Guizhou Financial Institute | Jiang H.-L.,Guizhou Financial Institute | Mei Z.,Guizhou Financial Institute | Song J.-L.,Guizhou Financial Institute
Advanced Materials Research | Year: 2011

Breadth first search is one of the most convenient traversal methods of a graph, and the shortest path problem of the city map is a kind of traditional data structure problems. It was researched and analyzed that the breadth first search traversing algorithm which adopting the adjacency matrix as its storage structure, in VC++6.0 environment, the shortest path problem of a city map was solved with breadth first search of the graph based on the queue, and its complete program was realized in the machine. Experimental results show that taking the breadth first search to solution city shortest path is an easy to understand and feasible scheme, so it has certain popularize value. © (2011) Trans Tech Publications, Switzerland.


Zhang M.,Guizhou Financial Institute | Wen J.-H.,Guizhou Financial Institute
Applied Mechanics and Materials | Year: 2012

Mathematical expectation is one of the important digital characters of the random variables. Many decision variables in decision problem are random variables; it is difficult to define their concrete distribution, while we can use their mathematical expectation to resolve decision questions. The applications of mathematical expectation in decision question were analyzed by example from two aspects of project contract decision and obtain employment decision.


Zhang M.,Guizhou Financial Institute | Wen J.,Guizhou Financial Institute
ICCASM 2010 - 2010 International Conference on Computer Application and System Modeling, Proceedings | Year: 2010

By analyzing the composing of total investment net profit ratio and total risk ratio, it was presented that the computing method of total net profit ratio and total risk ratio, and it was built that the most excellent decision mode of capital investment selection in family financing. On the assumption that the total risk ratio is stated, the question of making the total net profit ratio maximum can be translated into the optimization question of which the target function is linear function and the restrictions are linear equation and inequation, then it can be resolved with the linear programming model in Matlab7.0.The result indicates that total net profit ratio is positively correlative to total risk ratio in some extension, when it exceeds some extension, though the total risk ratio increases, the total net profit ratio adds no. © 2010 IEEE.

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