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This paper focuses on a cross-disciplinal subject called affective computing. It proposed that visual surveillance systems based on affect recognition could play an important role in the development of future HCI biometric systems. The fundamental theories about affective computing were introduced first and emotion perception through facial expression was transferred to visual intelligent surveillance...
Most of the traditional researches of the robotics based on multi-sensor data fusion concentrated on the problems of autonomous navigation and localization, few of them involved the target tracking. The existing fusion method based on the network time-delay applied the traditional synchronized fusion algorithm directly, therefore, it had led many problems, such as the information waiting, resources...
With the development of B2B E-business especially the vertical search engine, enterprises are provided many conveniences and flexibilities for electronic trading. But it brings the search problem of information heterogeneity and the lack of instructional knowledge. This paper proposed the product knowledge base based on ontology. Firstly, we established the content standards with the classification...
Evaluation of water environment quality plays an important role in environment science. By analyzing the factors influencing multi-reach water quality, a RBF neural network model with water quality is developed using neural network theory and method. It is integrated into a software package using VB program. The software has a friend interactive interface, and someone not knowing artificial neural...
Through researching the patterns and mechanism of life behavior of some animals, a knowledge processing system with biologic action feature was suggested by this paper, and the autonomic and creative features of the system were described. Following the thought of artificial life, the system was based on the rules and features that come from investigating the intelligent actives and behaviors of some...
This article introduces a new intelligent online test system, whose obvious difference with the traditional test system is that this test system does not based on the question bank, all test questions are produced automatically by questions-providing algorithm, providing explanation process of test question automatically by questions-solving algorithm simultaneously. The test questions that the system...
How to find suitable geospatial information in an open and distributed environment of geospatial Web services (GWS) is a crucial task. However, semantic heterogeneity came to us as a growing hard problem which impedes the deep applications of GWS. For solving this problem, an ontology-based framework for GWS is provided in this paper. This framework can help us finish the following tasks: (1) supplying...
Intrusion detection plays an important part in network security today. BP algorithm which is an algorithm in artificial intelligences can also be used in IDS. This paper make use of improved BP algorithm compared to the traditional one, the new algorithm brings us higher speed in constringency and more precise in detection .The new algorithm solves the difficulties of real-time system.
Firstly, the author generalizes the indiscernible relation to similarity relation, gives a definition of lambda-discernibility matrix; secondly, an attribute reduct algorithm of decision table with continuous condition attributes is put forward; thirdly, an algorithm of computing significance of each condition attribute is put forward according to the properties of lambda-discernibility matrix; at...
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