In this paper we have used a Neural Networks approach for the estimation of the Round Trip Time (RTT) in the TCP protocol. We constructed a network operation scenario that approaches the Internet operation. By observing the traffic between different nodes we collected the RTT values during normal network operation. Then we organized these values in such a way so that part of them was used as a ...

Within Neural Networks (NN), the parameters of Adaptive Activation Functions (AAF) control the shapes of activation functions. These parameters are trained along with other parameters in the NN. AAFs have improved performance of Convolutional Neural Networks (CNN) in multiple classification tasks. In this paper, we propose and apply AAFs on CNNs for regression tasks. We argue that applying AAFs...

This paper investigates the application of wavelet transform as a preprocessor for neural networks (NN) in identifying internal turn-to-turn faults in transformer windings. The faulty and normal signals generated by numerical simulation of ElectroMagnetic Transient Program (EMTP) are preprocessed using discrete wavelet transform (DWT). The mean values of the wavelet coefficients are input into ...

Neural networks (NN) have achieved state-of-the-art performance in various applications. Unfortunately in applications where training data is insufficient, they are often prone to overfitting. One effective way to alleviate this problem is to exploit the Bayesian approach by using Bayesian neural networks (BNN). Another shortcoming of NN is the lack of flexibility to customize different distrib...

Text-based passwords, dominant mechanism of authentication nowadays, are vulnerable to malicious attackers. Even though not recommended, users tend to use personal information (PI) when create passwords. Only a few studies have researched targeted password guessing, in which attackers guess passwords by utilizing users’ PI. We propose TPGXNN, a framework that uses neural networks (NN) in target...

One of the biggest hurdles to developing neurocontrollers is the difficulty in establishing good training data for the neural network. We propose a hybrid approach to the development of neurocontrollers that employs both evolutionary computation (EC) and neural networks (NN). EC is used to discover appropriate control actions for specific plant states. The survivors of the evolutionary process ...

Combining neural networks (NN) methods with symbolic methods is an area that is exciting in terms both of basic research and practical application. We discuss here the opportunities and challenges involved in combining NN (“neural”) with logical knowledge representation and reasoning (KRR) that has high expressive power and fundamental scalability (“high-power” KRR). We describe how Rulelog KRR...

  Purpose: Different views of an individuals’ image may be required for proper face recognition.   Recently, discrete cosines transform (DCT) based method has been used to synthesize virtual   views of an image using only one frontal image. In this work the performance of two different   algorithms was examined to produce virtual views of one frontal image.   Materials and Methods: Two new meth...