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In order to solve the modern logistics problem of vehicle distribution, a particle swarm optimization (PSO) algorithm based on clustering analysis is proposed in this paper. This algorithm clusters the target points in need of distribution primarily by DBSCAN algorithm, and then weighted k-means algorithm is used to cluster the target points finally based on the primary clustering. Corresponding vehicles...
After an earthquake and other natural disasters, the probability of such geological disasters as aftershock and mud-rock flow increases. The logistics nodes of consumable firms fall under serious impact, which makes the consumable prices of disaster area fluctuant drastically. The goal of this paper is to bring forward a risk analysis framework through an integration of diverse research streams related...
With the development of information technology, the operation pattern of enterprises has changed profoundly. Building effective dynamic business alliance and applying information technology, especially multi-agent technology in the process of dynamic business alliance means a lot for enterprises to improve their competitiveness. This paper first elaborates the concept, formation and characteristics...
Establishing criteria for knowledge management (KM) is important, because criteria help to establish a basis for assessing the value and evaluating its results. More importantly, the criteria will tell us what the KM outcomes are and their relevance to organizational performance. The literature review has revealed that widely accepted criteria and performance measures have not been developed for KM...
Neural network ensemble is a recently developed technology, which trains a few of neural networks and then combines their prediction results. The generalization ability of an ensemble can be much better than that of a single learner. However, it is time-consuming to train so many neural networks. In order to overcome this disadvantage, MPI (Message Passing Interface) technique was employed to the...
Aimed at the object recognition problem in which the characteristic values of object types and observations of sensors are in the form of triangular fuzzy numbers, a new fusion method for multi-sensor data is proposed based on mean deviation. The method defines the distance matrix between all object types and unknown object. After solving the optimization problem of maximizing the mean deviations...
Semi-structured data is different from the traditional data model. It has data prior to schema, and semi-structured data model is used to describe the data structural information of data rather than the mandatory constraint. Therefore, discovery of semi-structured data has become the first step of knowledge discovery. In this paper, the concept of hierarchical data is adopted and a counting principle...
RVM enables sparse classification and regression functions to be obtained by linearly-weighting a small number of fixed basis functions from a large dictionary of potential candidates.TOA on RVM has O(M3) time and O(M2) space complexity, where M is the training set size. It is thus computationally infeasible on very large data sets. We propose I-CBA based on CBA, I-CBA set iteration initial center...
This paper used mixed logit model to predict credit risk of listed companies in China. In order to reduce the difficulty in dealing with the facts of correlation and multidimension of the financial indexes of listed companies and meanwhile to ensure that the data are not lost, we introduced factor analysis to the mixed logit equation and constructed a factor analysis mixed logit model. Fifteen factors...
In China, e-government services have been set up in almost regions. The input is much, but what about the effect and efficiency? In this paper, firstly, the effect of e-government on regional governments work is analyzed. Secondly, the importance of evaluation regional e-government services performance from input and output perspective is analyzed. Thirdly, the review on reference studies is summarized...
This paper considers a credit default swaps (CDS) pricing under a fractal structural model, where the asset value is generated by a geometric fractional Brownian motion. In contrast to the classical structural model which is based on the geometric standard Brownian motion, the fractal one with long-dependent and self-similar behaviors matches the real asset data better. We analyze the ratio of a firm's...
Mobile multimedia broadcast is a result of the development of the digital TV under the trend of network convergence. In this paper, according to the requirement of authentication and authorization, the particularities of mobile multimedia broadcast are analyzed. The problems of traditional conditional access and digital right management in mobile multimedia broadcast are shown. A new scheme of authentication...
In this paper, we propose a optimization method of watermarking image based on Cort and DCT. Exploiting human visual system characteristics, our method dynamically chooses the appropriate coefficients of the intermediate frequency and watermarked locations according to different image. Experiments show that the watermarking algorithm performs well in robustness and watermarking imperceptibility.
Document knowledge base is necessary to support mobile work for mobile workers. The architecture of mobile knowledge service based on document knowledge base includes context-awarer, knowledge service manager, and end application components. The application of the architecture is contributed to personalize knowledge service to different tasks for different people with existing document knowledge in...
Since the value measurement to knowledge-based economy has become a powerful tool, it is necessary to expose a theory analysis on value measurement to the technology-based knowledge product (the VMTKP). Based on the costs and benefit, we create the measurement formula, and build the value measurement model for the VMTKP. Whatpsilas more, analysis to the related influence factors, variables and parameters...
Many organizations choose project work as flexible and reliable structures for the development and production of their goods and services. However, Most know-what, know-how and experience exists only in the minds of individual participants during the phase of projects. In order to improve the performance of project-based organizations (PBO), this paper identifies obstacles to knowledge management...
This paper gives the design idea and realized functions of Electronic Patient Record (EPR) system based on XML, bring forward the information exchange framework of EPR based on Web Service. It also put forward the generation and validating method of multiple digital signatures about EPR, the special XML document. By this system, we can securely and trustily realize information exchange between EPR...
Notice of Violation of IEEE Publication Principles"The Exploration of Web Sites with Link Structure Graphs"by Jun Yang and Zhigang Tangin Proceedings of the 2009 International Conference on Management of eCommerce and eGovernment, Sept. 2009, pp. 209-212After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been...
The purpose of this paper is to explore the effects of intellectual capital on firm performance. Using data collected from 92 Chinapsilas high-tech firms, hypotheses were tested through hierarchical regression analysis. The empirical results of this study show that the three types of intellectual capital - human capital, structural capital, and relational capital - have positive effects on firm performance...
To achieve knowledge management (KM), we need to integrate information system strategies with business strategies. The implementation of e-commerce provides conditions for KM of enterprises. This article suggests using data mining (DM) as a technique to support knowledge management in e-commerce. We discuss the process of knowledge management in e-commerce and present a reference model. A general...
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