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Keyword: Network
Cross layers security approach via an implementation of data privacy and by authentication mechanism for mobile WSNs
To implement a new secure network with high mobility and low energy consumption, we use smart sensors. These sensors are powered by micro batteries generally non rechargeable. So, to extend their lifetime, it is necessary to implement new energy conservation techniques. Existing works separate the two features (security, energy conservation) and are interested specifically in…
Read More Recent Trends in ELM and MLELM: A review
Extreme Learning Machine (ELM) is a high effective learning algorithm for the single hidden layer feed forward neural networks. Compared with the existing neural network learning algorithm it solves the slow training speed and over-fitting problems. It has been used in different fields and applications such as biomedical engineering, computer vision, remote sensing, chemical process…
Read More Adaptive Intelligent Systems applied to two-wheeled robot and the effect of different terrains on performance
This work discuss two different intelligent controllers: Online Neuro Fuzzy Controller (ONFC) and Proportional-Integral-Derivative Neural Network (PID-NN). They were applied to maintain the equilibrium and to control the position of a two-wheeled robot prototype. Experiments were carried out to investigate the equilibrium control and movement of the two-wheeled robot first on flat terrain, then in…
Read More Strong Authentication Protocol based on Java Crypto Chip as a Secure Element
Smart electronic devices and gadgets and their applications are becoming more and more popular. Most of those devices and their applications handle personal, financial, medical and other sensitive data that require security and privacy protection. In this paper we describe one aspect of such protection – user authentication protocol based on the use of X.509…
Read More An Application of ANN Model with Bayesian Regularization Learning Algorithm for Computing the Operating Frequency of C-Shaped Patch Antennas
In this paper, an application of artificial neural network (ANN) using bayesian regularization (BR) learning algorithm based on multilayer perceptron (MLP) model is presented for computing the operating frequency of C-shaped patch antennas (CPAs) in UHF band. Firstly, the operating frequencies of 144 CPAs having varied dimensions and electrical parameters were simulated by the XFDTD…
Read More An Efficient Approach of Load Shifting by Using SCADA
The consumption of electric power has increased significantly in the past few years, and its demand is still increasing every day. In this regard, its proper distribution is a significant challenge. This paper includes a method not only to improve the existing power distribution by using SCADA but also to reduce the human errors from…
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