The real time property of fieldbus is very important to industrial control system. The transmission time delay is an important factor that influences the real time property of fieldbus. Starting from the medium access...
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The real time property of fieldbus network is very important to industrial control system, and the scheduling method of real-time information is an important factor that influences the real time property of fieldbus n...
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An important issue in the classification of electromyography signals is the classifier design. For surface electromyography signals in the acquisition process of serious interference by the noise, in particular freque...
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In this paper, a low profile and broadband monopole patch antenna is proposed. The antenna consists of a monopole, which is formed by connecting six triangle plates together. A regular hexagon patch is shorted to the ...
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In this paper, a one-dimensional metamaterial based antenna near 1.6GHz which takes some advantages from the theory of subwavelength cavity is proposed for the design of a high-gain application. The antenna above is m...
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In this paper, a broadband rectangular patch antenna by using a complementary planar-patterned metamaterials is proposed. It is constructed by irregular cross gaps on the patch and ground respectively. Simulation and ...
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A novel broadband compact left-handed transmission antenna loaded with electromagnetic band-gap (EBG) structures is presented. This antenna presented has advantages with respect to conventional patch antennas, for exa...
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DS (Diamond Search) is one of the most famous motion estimation algorithms. By analyzing the characteristics of DS, it is found that DS can be improved more efficiently. A Modified Diamond Search (MDS) algorithm is pr...
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An important research challenge that needs to be address in the area of intelligent systems is the development of new, innovative and original methods, algorithms and implementations of systems with a high level of in...
An important research challenge that needs to be address in the area of intelligent systems is the development of new, innovative and original methods, algorithms and implementations of systems with a high level of intelligent; that is, with a high level of flexibility and autonomy. This intelligence needs to be developed by understanding the environment in which these systems operate. However, these environments could be non-stationary, unpredictably changing and partially or completely unknown. For this reason, in order to develop an intelligent system - able to face with problems such as modeling, control, prediction, classification or data mining - in such environments, they need to be able to evolve, to self-develop, to self-organize, to self-evaluate and to self-improve. This is the cornerstone behind the Evolving and Adaptive Intelligent Systems.
The eye events (eye blink, eyes close and eyes open) are usually considered as biological artifacts in the electroencephalographic (EEG) signal. One can con-trol his or her eye blink by proper training and hence can b...
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The eye events (eye blink, eyes close and eyes open) are usually considered as biological artifacts in the electroencephalographic (EEG) signal. One can con-trol his or her eye blink by proper training and hence can be used as a control signal in Brain Computer Interface (BCI) applications. Support vector ma-chines (SVM) in recent years proved to be the best classification tool. A comparison of SVM with the Artificial Neural Network (ANN) always provides fruitful results. A one-against-all SVM and a multi-layer ANN is trained to detect the eye events. A com-parison of both is made in this paper.
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