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Cognition is a fundamental feature of natural intelligence, which a modern technology has not yet been able to reproduce in full capacity. Sensor networks provide a new technological support for a substantial increase in an amount and quality of information that might be collected and communicated in complex adaptive systems. Their application may significantly raise the degree of intelligence in...
Searching for the next hop node in mobile sparse wireless sensor networks for data exchange is a challenging task. This involves frequently sending radio beacons that drain battery power and reduces the life of the sensor node. This work proposes a novel energy efficient approach of adaptively sampling the network connectivity. The adaptive sampling starts with random sampling of the network to collect...
This paper, presents an Intelligent diagnosis system using Hybrid approach of Adaptive Neuro-Fuzzy Inference System (ANFIS) model for classification of Electrocardiogram (ECG) signals. Feature extraction using Independent Component Analysis (ICA) and Power spectrum, together with the RR interval then serve as input feature vector, this feature were used as input of ANFIS classifiers. six types of...
In this paper a self tuning adaptive PID control scheme for nonlinear systems is proposed using wavelet networks. The auto tuner consists of a discrete PID controller and a proposed new wavelet network structure called dynamic wavelet network (DWN). The DWN consists of a static feedforward wavelet network in cascade with an autoregressive moving average (ARMA) model. The learning strategy for the...
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