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The growing awareness for Co-Design of Information Systems reflects the contemporary requirements in making use of Information Technology in business process redesign. The basic premise of co-design is that information system planners could (and also desirably should) address many of the organizational and technology design issues jointly in order to create a supportive organizational context wherein...
In sustaining and being competitive in business area, sales and financial is one of the core sector to be managed. Future prediction of sales growth, profit-making opportunities and staff performance tracking are some of the key areas to gain competitive advantages. This study aims at producing a comprehensive sales and financial management framework to be incorporated by organizations with the capabilities...
This paper contains a discussion of the applications of matrix theory to filter bank construction. Firstly, two matrix transformations as well as their properties are examined. Secondly, the above results are applied to construct paraunitary filter banks, and the structures of those kinds of filters are studied. In the end, examples are developed to illustrate the proposed technique.
For the problem that the prediction accuracy of real-valued attribute data is not high, a modeling method named PR-KNN (polynomial regression and k nearest neighbor) is proposed, which is based on combination of KNN (k nearest neighbor) algorithm and polynomial regression model. Firstly, K nearest decision attribute values in training samples are selected by using KNN algorithm. Secondly, these K...
The features of SIFT are widely used in image matching because of it's invariantion to images scale and rotation, but 128-dimensional description of the feature point reduce the efficiency of the algorithm. This paper presents an improved algorithm of SIFT, using ring and sequence of each feature vector to ensure rotation invariance while reducing the description of operator dimension and using traversal...
This paper, residual high-frequency boost method is imported into the iteration process of the simulation-correction iteration image reconstruction algorithm, and produces more high-frequency details information for the algorithm, which improves the algorithm's performance. We use Matlab to implement the algorithm and the results indicate that importing the residual high-frequency boost into the image...
The paper presents a fast quasi-dense matching algorithm using an adaptive window. The algorithm starts from a set of sparse seed matches, then propagates to the neighboring pixels, finally the most points in the images are matched. This algorithm adopts an additional level of incremental calculation to enhance the speed of computing the sum of squared difference (SSD). The confidence coefficient...
SaaS (software as a service), the new software application pattern has got wide attraction in both industry and academia. But transaction processing is a problem that prevents SaaS from wide spreading. To solve the problem, this paper proposes A business level compensation mechanism for multitenancy SaaS application transaction processing. The mechanism supports flexible and customizable transaction...
CDMA digital wireless technology pioneer QUALCOMM corporation announced the launch of the BREW platform UIONE technology in 2005. UIONE is a set of complete end-to-end open solution about development, design, display, service and management of mobile phones dynamic interface. By using UIONE, operators can control the design of mobile dynamic interface and change the situation of leading of mobile...
It is of practical significance and great value to find out a service-oriented modeling technique for integration of oil-drilling engineering applications deployed on grid sites. In this paper, a domain-specific model for oil-drilling engineering is suggested. Furthermore, a business component model for mapping domain-specific model into real system is proposed. Two models contribute the decoupling...
Decision tree, as a simple classification algorithm, is an effective tool for mining knowledge rules, and it has been successfully applied in many fields. Based on the analysis of the essential characteristics of decision tree algorithm, for the selection of the expanded attributes, we put forward leaf criterion; data utilization criterion and comprehensive effect criterion which can recognize the...
Decision tree, as a simple classification algorithm, is an effective tool for mining knowledge rules, and it has been successfully applied in many fields. Based on the selection problems of the expanded attributes, we put forward quasi-linear leaf criterion and data utilization criterion which can recognize the extension ability of attributes, and give a selection model of expanded attributes based...
On the basis of general discrete actuarial model of life insurance, this article has carried on research to discrete life insurance actuarial models under the variable interest rate. And it provide net single premium for life insurance and life annuity due over a period based on that de Moivre's law of mortality and Makeham's law of mortality separately.
Data mining technology is an interdisciplinary which has developed rapidly at home. It involves database, statistics, artificial intelligence, machine learning and other fields. The popularity of computer use produced a large amount of data. Data mining utilize scientific to deal with large volume of data. There are variety use of application of data mining technology and it will play more and more...
Weed seeds classification is significant to seed selection and weed prevention and control in both agriculture and grass industry. There have already been some classification methods based on image-processing which mainly deal with the seedling of weeds. We propose to classify weeds with their digital images by using PCA, 2DPCA, column-directional 2DPCA and (2D)2PCA. With 20 repeated experiments,...
It is the trend that business to business (B2B) has been becoming the mainstream of e-commerce. With more and more concentration on this field, however, recent research has not defined what the B2B Web site user satisfaction is and how to evaluate it clearly. Also, traditional scales, such as user information satisfaction (UIS), end-user computer satisfaction (EUCS) and customer information satisfaction...
Face recognition(FR) has become a specialized application area within the field of computer, among which the appearance-based approaches are popular. The appearance-based FR can be induced into the subspace projection step and a nearest neighbor classifier. Because face image data have the property of high dimension, the subspace projection methods should be employed for dimensionality reduction....
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