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Presented in this paper is an extended version of the Multi-ADAptive LINear Element (MADALINE) neural network, termed EMADALINE, for On-line System identification of Multi-Input Multi-Output (MIMO) linear time-varying (LTV) systems Trained by Levenberg-Marquardt Method. A sliding window on the data set is used in the learning algorithm for the purpose of improving convergence speed during training...
This paper proposes a new method for extracting the Foetal Electrocardiogram (FECG) signal from two ECG signals recorded at thoracic and abdominal areas of mother. The thoracic ECG is assumed to be completely maternal ECG (MECG) while the abdominal ECG is assumed to be a combination of mother's and fetus's ECG signals and random noise. The maternal component of the abdominal ECG is a nonlinearly transformed...
A pneumatic actuator is a device that is capable of converting energy from a pressurized gas into motion. While motion can be created through other means, such as a hydraulic or electric motor, pneumatic actuators are safer, cheaper, and cleaner. Therefore, pneumatic actuators have been used widely in the field of industry automation. However, the compressibility of air and the inherent non-linearity...
Automatic alignment design is always one pursuing goal of highway geometric designers with the rapid development of modern technologies such as intellection, digitalization and automatization. Because of the fact that artificial neural network is widely used in the field of pattern recognition, an approach to fit some control points and then to determine the appropriate type of horizontal curves based...
In this research, we introduce a new blind steganalysis in detecting grayscale JPEG images. Features-pooling method is employed to extract the steganalytic features and the classification is done by using neural network. Three different steganographic models are tested and classification results are compared to the five state-of-the-art blind steganalysis.
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