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Harmonic detection technology is one of the key technologies used for active power filter (APF), and its development has determined the development of APF technology. It is difficult to detect the harmonic accurately because of the features of power network harmonic, such as inherent nonlinear, random, distribution, non-stationary and the complexity of impact factors, so the study of the power system...
The paper deals with detection of steganography content. Steganography is an additional method in cryptography which helps to hide coded messages inside pictures or videos. To hide a message is very important but also revealing such content is important to avoid of usage by jailbirds. The revealing of steganography is not easy. This paper shows how neural networks are able to detect steganography...
The neural network method of detection for FSK signals is presented. The application of constructed system to detection of MSK signals is considered. Processing of test signals by the proposed method shows its capacity for work.
Contrasting to the original method of identifying the types of wood defects which requires the experienced technical staff with good discrimination to consider the characteristics of wood defects in the image, this paper presents a new method which can identify the types of internal wood defects rapidly and accurately by BP neural network which can analyse the visual characteristics parameters of...
In this work the strategy of the artificial intelligence (neural networks) is used to detect and localize the defects of the double stator asynchronous machine. In fact, several neural networks have been applied to the detection of defects. Then, we used a selector which allows activating only one network at a time. In this case, the selected network detects only defects corresponding to the torque...
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