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A promising traffic flow forecasting model based on multivariate adaptive regression splines (MARS) is developed in this paper. First, the historical traffic flow data is obtained from the loop detectors installed on the road network of Beijing. Then, part of the data is selected for training the MARS model while the rest is used to test the method. The results based on MARS method are compared with...
Along with the development of wireless technology and especially 3Gpsilas throw into commercial, the mobile value-added services gradually popular used, such as mobile automatic question and answer (Q/A) system. But the current mobile Q/A system mainly based on FAQ database, the question and answer can not be validated and updated by itself. So this paper attempts to implement a p2p based model updatable...
This paper deals with a research of semantic information retrieval, especially is to measure related degree between unknown word (UW), which is a big obstacle in an area of semantic document retrieval, and related word. To do this, we consider UW as word not defined in WordNet that is English lexical dictionary and grasp concepts related with UW from Web documents through co-occurrence and measure...
This paper proposes an ontology-based information content security analysis framework, which adopts artificial intelligent system designing theory and ontology engineering method to improve information content security surveillance. This framework introduces ICSO (information content security ontology), by which we incorporate disparate and heterogeneous data sources into surveillance system , and...
The concept lattice is useful in knowledge processing and data analyzing. By reducing lattice, it can get the process more efficiently and the work will be simpler. In this paper, a kind of composing relation between reduct and relative necessary attributes is proposed, then is proved, and a novel approach to explore the reduction of concept lattice is presented. Since we avoid computing all of the...
With the development of wireless communication technique, intelligent agent technique is becoming a new researching direction in mobile communication fields. At the same time, mobile peer-to-peer technique gains more and more attention, because it could level the difference between mobile clients and servers. As intelligent agent technique was proved to be an effective means to administer mobile peer-to-peer...
The data warehouse is a repository of information collected from multiple, possibly heterogeneous, autonomous, distributed databases. The information stored at the data warehouse is in form of views, referred to as materialized views. One of the most important decisions in designing a data warehouse is selection of right views to be materialized. So, we develop algorithms to select a set of views...
In social network the aggregation of RSS feeds leads to the syndication of users. Effective user oriented information retrieval can help decentralized users construct more effective social relations. In this paper the proposed ontology based vector space model (O-VSM) is applied to social network. It provides a novel approach for user-oriented information retrieval. RSS feeds are used as distributed...
Matching search technology based on query keyword has been widely used by traditional search way. It still belongs to pure keyword matching and can not acquire satisfactory search results. The essential reason is that traditional Web search lacks semantic understanding to user's search behaviors. In this study, we propose a novel ontology-based framework for semantic expansion search. Based on constructed...
This paper presents a solitary wave propagation (SWP) approach to optimize task allocation and source assignment in multi-agent systems (MAS) and computer networks (CN). The proposed approach transforms the parallel optimization problem in MAS and CN into the solitary wave propagation process in non-linear space. Features of the SWP approach include a powerful processing ability in a complex environment...
In this paper, it is advocated that defenders should take active action to stop DDoS attacks. We propose a new model based on differential games theory. Four main actors are included, attacker, defender, victim, and Botnet. It is our belief that victims who experience an attack should cooperate with defender to defend for a DDoS-attack. The model indicates the minimum number of bots that should blocked...
To increase the intelligent reconfiguration capability of manufacturing control system, a novel concept of knowledge function block is proposed, and an integrated framework for intelligently reconfigurable manufacturing control system based on knowledge function block is constructed. Then, service-oriented control software architecture based on Web services is presented. Besides, the system is designed...
Designers depend on computer as the main workbench to deal with their complex product design tasks today. So a mass of design process related digital data can be obtained. How to discovery design rationale knowledge from primary design process data is still an open problem. This paper describes an experimental system, the design history construction framework. In the framework, clustering techniques...
Attributes of Concept Lattice are divided into absolutely necessary, relatively necessary and absolutely superfluous attributes. The discernible Boolean matrix of Concept Lattice and the elementary row transformation of Boolean matrix are defined. The model of attribute reduction in the form of linear logical equations is established. The method of transforming discernible Boolean matrix into simplest...
In cooperative partner selection problem, many uncertain factors such as flexibility and quality affect the result. In order to select optimal partner, many people use AHP (analytic hierarchy process) method to evaluate alternatives. The traditional AHP method canpsilat adequately deal with uncertain problem and canpsilat reflect the fuzziness of human judgment. In this paper, TFN (triangular fuzzy...
Data mining is a new filed in data processing research. Support vector machine (SVM) is a useful method adopted in data mining. However, when the training set of the SVM contains information of uncertainty, the SVM can do nothing about it. In order to solve the problem presented above, this article discusses an algorithm of approximately linearly dividable support vector classification machine based...
A case selection algorithm selects representative cases from a large data set for future case-based reasoning tasks. This paper proposes the SRS algorithm, based on similarity-based rough set theory, which selects a reasonable number of the representative cases while maintaining satisfactory classification accuracy. It also can handle noise and inconsistent data. Experimental results have confirmed...
A method that flatten surface of 3D model is presented. It can flatten the surface of model into a 2D shape as well as automatically cut and partition. The method avoids global and local self-intersections and minimizes the total length of the introduced seams. Then, a 3D models retrieval methodology based on the shape comparison is proposed. By using the flattened surface, pole mapped version normalization...
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