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The following topics are dealt with: intelligent techniques; logics and systems; knowledge data systems; information technologies & systems; digital information processing; bio-technologies; cognitive science; networking technologies; security in network; knowledge visualization; modeling; mobile and distance education; mobility and multimedia systems; industrial systems; iPv6; telecommunications...
This paper deals with eccentricity fault detection in a induction motor via artificial neural networks. Discriminative features are extracted from magnitude-frequency plot of line current spectra at characteristic frequencies. Based on this data, training and test sets for used artificial neural networks are made. Feedforward and radial basis function neural networks are used for tasks of rotor condition...
The synergic combination of different sources of knowledge is a key aspect in the development of modern statistical translators. The effect and implications of adding additional other-than-voice information in a voice translation system is described in this work. The additional information serves as the bases for the log-linear combination of several statistical models. A prototype that implements...
A novel auto-tuning method for the Robust Inverse Dynamics Estimation (RIDE) controller algorithm is presented. The RIDE controller is applied to a high performance aircraft model. The tuner utilises a constrained genetic algorithm to automate the tuning process. The stability constraints on the algorithm ensure system stability whilst allowing for the optimum controller parameters to be selected...
Nowadays, mobile robotics is becoming one of the most open research areas due to the fact that it includes many quite complex advanced mechanisms that are difficult to get a thorough mastery of. In fact, the control task becomes much more complex. The problem is how to guarantee safety for the robot while moving toward a known goal. For this reason, simulation plays a very important role in robotics...
The paper presents an upgrading process of rubber tree seed clones identification model using image processing techniques. Sample of rubber tree seeds are captured using digital camera where the RGB color image are processed involving segmentation algorithm which includes thresholding and morphological technique. Texture patterns from seed clones images are then analysed through wavelet's Daubechies...
The web contains an abundance of semi-structured information, but not all the information is useful for users, it always contains so many noises such as the advertisement, navigation information, and so on. Identifying which parts of the web page contain target content and classify them into right category (such as title, author, time, content and so on) become a significant problem that must be solved...
This paper presents a new discretization algorithm that takes into account the behavior of associated variables. Indeed, in the context of association rules extraction, for example, the goal is to find interconnected data. Thus, instead of computing numeric variables independently we choose to compute them in their context, i.e. in association with the rest of the variables to consider. The proposed...
In this paper, a new accelerating technique for content-based image retrieval is proposed, suitable for the Color and Edge Directivity Descriptor (CEDD). To date, the experimental results presented in the literature have shown that the CEDD demonstrates high rates of successful retrieval in benchmark image databases. Although its storage requirements are minimal, only 54 bytes per image, the time...
Detailed inspection of transactional data can reveal various useful information, in which of special importance are relationships between transaction elements. Hierarchical clustering coupled with specific distance measures reveal those relationships from one angle. Additionally, association rules - a natural method of inspecting transactional data - is able to reveal relationships between each pair...
This paper presents a set of integrated solutions for automation and information technologies and communications with the purpose of increasing the road traffic safety and security, via an intelligent management of sensor data and image fusion. These results were obtained in the framework of several national research programs and finalized in pilot systems, successfully installed and operated in some...
The paper describes a method for estimation of the size of business sectors covered by ERP solutions. It presents a short overview of existing methods for measuring the size of business sectors and software in general, including the ERP solution as its special type. A list of business sectors which are supported by ERP solutions is given. The described method for the estimation of size was applied...
In Web 2.0, there is no clear distinction between users and webmasters. Many internet users are not only information consumers but also information providers. There are lots of information in the Web and most people can find what they want by searching the Web. One problem of the large number of data in the Web is that we often spend most of our time to find a correct result from search results. Thus,...
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