Advanced medical imaging techniques require high performance segmentation algorithms. Extracting the structures of interest accurately is one of the main challenges in medical imaging segmentation. In this paper a met...
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A novel EEG-based system for driver's sleepiness detection is proposed. Driver's sleepiness is an important factor in many accidents. Therefore, real-time sleepiness detection can restrain accidents effectivel...
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Healthy ears reflect OtoAcoustic Emission (OAE) signals in response to acoustic stimuli that can be recorded in the external ear canal. We can use the existence of this signal to check the health condition of hearing....
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A novel recursive singularity free FTSM (Fast Terminal Sliding Mode) strategy for finite time tracking control of nonholonomic systems is proposed. As a result, the singularity problem around the origin resulting from...
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In this paper, we focus on the issue of adaptive H∞- control design for a class of linear parameter-varying (LPV) systems based on the Hamiltonian-Jacobi-Isaac (HJI) method. By combining the idea of polynomially para...
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To defend against various attacks, many security systems such as intrusion detection systems are deployed into hosts and networks to better protect digital assets. However, there are well-known problems related to the...
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Brain Emotional Learning Based intelligentcontroller, BELBIC, has been used for model free adaptive control of several complex industrial plants. It has proven to be very effective controller with light computational...
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In this paper a comparison for non-adaptive and adaptive traffic state estimators based on the nonlinear macroscopic traffic flow model is presented. In non-adaptive estimator, a Least Square based method was used to ...
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ISBN:
(纸本)9783902661876
In this paper a comparison for non-adaptive and adaptive traffic state estimators based on the nonlinear macroscopic traffic flow model is presented. In non-adaptive estimator, a Least Square based method was used to estimate model parameters with off-line data. Beside this non-adaptive estimator, three adaptive estimators were designed and tested. In these adaptive estimators, online estimation of the model parameters were done based on Least Square, joint filtering and dual filtering methods. In all mentioned estimators, extended Kalman filtering method was used to estimate traffic variables. Finally, Real data testing results of these estimators for Interstate 494 in metro freeway, Minnesota, USA are presented.
A method for ranking features of wavelet-decomposed EEG in order of importance in prediction of epileptic seizures is introduced. Using this method, the four most important features (extracted from each level of wavel...
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A method for ranking features of wavelet-decomposed EEG in order of importance in prediction of epileptic seizures is introduced. Using this method, the four most important features (extracted from each level of wavelet decomposition) are selected from ten features. The proposed set of featuresis then used to recognize "pre-seizure" signal, thus predicting a seizure. Our feature set outperforms previously used sets by achieving higher class separability index and correct classification rate.
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