Steganography is a technique of concealing secret data within other quotidian files of the same or different types. Hiding data has been essential to digital information security. This work aims to design a stego method that can effectively hide a message inside the images of the video file.  In this work, a video steganography model has been proposed through training a model to hiding video (or images) within another video using convolutional neural networks (CNN). By using a CNN in this approach, two main goals can be achieved for any steganographic methods which are, increasing security (hardness to observed and broken by used steganalysis program), this was achieved in this work as the weights and architecture are randomized. Thus,

Abstract

Robust controller design requires a proper definition of uncertainty bounds. These uncertainty bounds are commonly selected randomly and conservatively for certain stability, without regard for controller performance.  This issue becomes critically important for multivariable systems with high nonlinearities, as in Active Magnetic Bearings (AMB) System. Flexibility and advanced learning abilities of intelligent techniques make them appealing for uncertainty estimation. The aim of this paper is to describe the development of robust H₂/H_∞ controller for AMB based on intelligent estimation of uncertainty bounds using Adaptive Neuro Fuzzy Inference System (ANFIS).  Simulatio

The neo – realism school confirms the using of soft instruments in foreign policy which replaced martial means . this is the age of economies that based on in formatting and interdependence which overpass the national boundaries . The power becomes less trans fer able and trans fordable. It becomes tangible and less coercive . The former American minister Henry Kissinger , despite his deep belief in the policy of the traditional power balance, argued in 1975 by saying “we are now witnessing a new Ara. The new global patterns are falling apart … we are living in a new world of inter deepen dense in the economy communications and human tartan aspirations” The priority of economy in concern of war was the mean reason behind the winn

The first few years of life is the basis for proper human personality and this Made by scientific studies and research need to make all efforts to achieve the early development of children and demonstrated by the efficiency and effectiveness of great success in the educational and developmental programs that have been applied to accelerate the children's growth rate in the various their sides, the current research aims to: identify the most successful international experience in the care and upbringing of children in early childhood has been determined by current research and previous studies manners within the cognitive perspective and dealing with the subject of this research and with respect to the theoretical framework Presented rese

نشاطات فرع الدراسات الدولية

The evolution in the field of Artificial Intelligent (AI) with its training algorithms make AI very important in different aspect of the life. The prediction problem of behavior of dynamical control system is one of the most important issue that the AI can be employed to solve it. In this paper, a Convolutional Multi-Spike Neural Network (CMSNN) is proposed as smart system to predict the response of nonlinear dynamical systems. The proposed structure mixed the advantages of Convolutional Neural Network (CNN) with Multi -Spike Neural Network (MSNN) to generate the smart structure. The CMSNN has the capability of training weights based on a proposed training algorithm. The simulation results demonstrated that the proposed