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This paper presented an accounting and charging system based open grid services architecture (OGSA), which developed with an emphasis on a consistent data model and easy integration into existing scheduling at a few independent resources providers to use under various grid environment. This accounting and charging system mainly addresses to resolve the problem of accounting and charging of resources...
Construction project bidding is a kind of transaction way of construction project the most widely used ,the bidding is a closed price auction, the game among the bidders and the tenders belongs to a kind of non-cooperation and incomplete static game and so does it among the tenders. According to the special rules of bidding, the game theory is put into construction project bidding ,the game model...
The evaluation of tourism crisis would have significant meanings to encounter crisis and recover from it, also can be served as decision reference to relevant managers and officials. Currently researchers usually make the evaluation of tourism crisis on the aid of complex indexes system, surplus researcherspsila subjective judgment. On considering the characteristics of tourism crisis, many variables...
Urbanization has brought great challenges to the sustainable development of cities, especially in developing countries. Simulation of urban expansion thus captures increasing interests in research. SLEUTH model, a cellular automata-based dynamic model, is a powerful tool for simulating complex urban expansion and description of urban spatial dynamics. For further study of the dynamics change of urban...
In this paper we present a model of the formation and evolution of innovation network in an oligopolistic industry. A series of theoretical analysis of knowledge characteristics and simulation analysis of the weighted efficient have been studied. The results indicate that there exists the optimal relative knowledge distance and the codified extent of knowledge for collaboration. Moreover the weighted...
The basic knowledge of virtual reality and virtual instrument technique were introduced. According to the present safety conditions of foundation excavation, the support monitoring system of foundation excavation is put forward. With Windows and Lab VIEW technologies, the support monitoring system of foundation excavation is developed, which is integrated with data automatically collecting, information...
In business processes, buyers and suppliers define a contract between the two parties such as quality of service(QOS) and quality of products. Organizations operating in modern markets require an excellent service management. When services or products are created or managed using workflow processes, the workflow management system should predict, monitor and control the QOS rendered to customers according...
In order to maintain or gain competitive advantage and manage knowledge of the enterprise, a new strategy of knowledge management in network organization is presented.It helps to build strong relations with employees, customers,and suppliers and partners.
Density-based spatial clustering algorithms can be used to filter out noise and outliers, and discover clusters of arbitrary shape, which are all relatively good algorithms. But when the problem of variable density distribution of spatial objects was taken in to consideration, the accuracy of clustering result can be largely affected by the distribution of spatial objects. Therefore, the strategy...
The mobile robot simultaneous localization and mapping (SLAM) in unknown environments has been considered to be an important and fundamental problem in the mobile robotics research domain. Nowadays most methods for SLAM are focused on probabilistic Bayesian estimation, this paper propose an unscented Kalman filter (UKF) assistant-proposal distribution (UKF-APD) particle algorithm,compute the Euclidean...
Classification is a famous branch of machine learning. We have tried many ways to invent and improve algorithms to get better results from given data. However, few have been done on how to revise data to adapt machine learning. In this paper, the same classifiers are implemented on same object sets which are different in the granularity of classification to show different classification can make great...
Based on the theory of core competence, the paper analyzes construction enterprise's core competence from the perspective of knowledge capital. It establishes evaluation index system of construction enterprise's core competence, and then uses BP neural network to set the model of calculating construction enterprise's core competence. This model avoids subjectivity and uncertainty brought about by...
This paper is about the establishment and application of GIS database in neighborhood renewal. It first mines the needed data for database establishment from literature review. Then, the GIS database will be designed for neighborhood renewal, which integrates land use, public and commercial service, road, building, infrastructure, and environment six major variables. Finally, a case of Huangjiadun...
In this paper, we propose a set of semantic cohesion metrics for ontology measurement, which can be used to assess the quality of evolving ontologies in the context of dynamic and changing Web. We argue that these metrics are stable and can be used to measure ontology semantics rather than ontology structures. Measuring ontology quality with semantic inconsistencies caused by ontology evolutions,...
The research proposes an approach of story segmentation for news video using multimodal analysis. The approach detects the topic-caption frames, and integrates them with silence clips detection, as well as shot segmentation to locate news story boundaries. On test data with 135,400 frames, the accuracy rate 87.9% and the recall rate 98.7% are obtained. The experimental results show the approach is...
Adaptive PID controller based on back propagation(BP) neural network has many merits like that simple algorithm of PID controller and self-study and adaptive functions of neural network. According the requirements of system output performance, the BP neural network can autoadjust its weights to vary kp, kj and kd. The simulation adjust its weights to vary k results of an electro-hydraulic position...
This paper proposes three novel laws for finding useful candidates in database and preventing useless candidates by researching frequent itemset support. Some new concepts are introduced so as to explain these three laws. For example, independent itemset and support count, which can effectively avoid losing any interest associational rules during pruning, are introduced. In this paper, firstly, some...
A-priori is an influence algorithm for finding frequent item sets from association rules. But there are two hard questions may be involved for average users during finding frequent candidates. One question is massive amounts of candidates and the other is that set support count threshold for every level candidate generations. This paper discusses one algorithm called And, which is usually used in...
Semantic soccer video analysis has attracted more and more attention recently. In this paper, we present a football event detection method by using multiple feature extraction and fusion. Instead of using low-level features, the proposed method is built upon visual, auditory features, text and audio keywords. Promising event detection results have been achieved. By using the proposed method, we have...
Parameters control problem was crucial in rolling industrial, but the mechanical properties forecasting of strip steel was an information space incompletely and non-linear complex system which was hard for traditional method. Artificial neural networks was a non-linear system with strong non-linear modeling ability, but the traditional BP neural networks has many shortcomings like easily step into...
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