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The auction mechanism is widely used in Web-based sites and originally designed for human beings, but it might not be the most efficient one in the future, while, there is a demand of evolutionary computation auction agents adaptable to the dynamic auction environments. In this paper, we have applied genetic network programming (GNP) to auction agents to determine a bid at each time step and developed...
Web services have been considered as an effective method to create unprecedented opportunities for organizations to establish more agile and versatile collaborations with other organizations. But services dynamic discovery is one of factors not only tiring consumers but also preventing them from enjoying high quality of service. It is one of key issues in services dynamic discovery how to select the...
By utilizing XML representations of source programs under test, a new approach is proposed to concisely implement some prototypes for TACCLE, a software testing methodology. The conversions between a source program and its XML representation can be easily realized using existing conversion tools. In this way, the conversion tools can automatically analyze and parse the source program, so that testing...
This paper uses data mining classification algorithms--C5.0 and CART algorithms to get useful information to decision-making out of customerspsila transaction behaviors. Firstly, by business understanding, data understanding and data preparing, modeling and evaluating we get the results of the two algorithms and by comparing the results ,we know that the two algorithms can both be applied in the customer...
Military training plays an important role in the military activities. Interservice process for instructional systems development (IPISD) proved to be effective for developing training courses. The IDEF0 methodology can provide a structured approach for breaking a complex system into more elemental components that are simple to deal with. In order to make the development of military training system...
With the rapid development of knowledge-based economy and Web technology, more and more enterprisers realize the importance of extracting Competitive Intelligence (CI) from Web. Unfortunately, current technologies fail to directly generate enterprise competitive intelligence from Web information. Towards this situation, in this paper we present a framework of ontology-driven extraction of enterprise...
This paper proposed a new approach for recognition and matching the human behavior sequence. Each human behavior sequence is represented by its key postures to greatly reduce the computation time. Normalization is applied to all the behavior sequences key postures for matching. A dynamic time warping (DTW) algorithm is used to perform the alignment of two time series. Experiments are carried out on...
The metadata plays an essential role in data warehouse for banks. Based on system developing experience, the paper discusses the categories and functions of metadata, and elaborates how to use metadata to manage system. At last the paper presents the architecture of a Metadata Management System based on data warehouse for banks, and illustrated and analyzed its structure. Application results show...
Human key posture extraction will benefit for human action recognition, human action retrieval, human behaviour understanding and so on. This paper proposes an approach to select key postures from a human action video based on Radon transform. Cluster is used on the Radon transform to select the final key postures of human action video. The approach does not require motion extraction from the human...
Information retrieval is the important work for traffic information service in intelligent transportation systems (ITS). Ontology-based semantic information retrieval is a hotspot of current research. In order to achieve fuzzy semantic retrieval, this paper applies a fuzzy ontology framework to information retrieval system for ITS. The framework includes three parts: concepts, properties of concepts...
Human key posture extraction from videos will benefit video storage, video retrieval, human action recognition, human behaviour understanding and so on. This paper presents an approach to select key postures from human action sequences using 2D information. There are two steps in the proposed method. Information measurement which is a kind of global feature of a frame is used to roughly find key posture...
Biological sequence usually contains yet to find knowledge, and mining biological sequences usually involves a huge dataset and long computation time. Common tasks for biological sequence mining are pattern discovery, classification and clustering. The newly developed model, plausible neural network (PNN), provides an intuitive and unified architecture for such a large dataset analysis. This paper...
In this paper, we propose a new efficient data reduction algorithm through combining lattice with rough set. On the basis of lattice learning, the algorithm applies the concept of attribute reduction in the theory of rough sets and calculates the importance degree of attributes automatically by a density based approach. Under acceptable classification precision and complexity, it reduces row and column...
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