Node cooperation can protect wireless networks from eavesdropping by using the physical characteristics of wireless channels rather than cryptographic methods. Allocating the proper amount of power to cooperative nodes is a challenging task. In this paper, we use three cooperative nodes, one as relay to increase throughput at the destination and two friendly jammers to degrade eavesdropper&rsqu...

Due to the drastic rise in multimedia content, digital images have become a major carrier of data. Generally, are communicated or archived via wireless communication changes, and significance data security gets increased. In order accomplish security, encryption is an effective technique which used encrypt using secret keys such way that it not readable by hacker. this view, study focuses on de...

<p>Portfolio selection is among the most challenging processes that have recently increased interest of professionals in area. The goal mean-variance portfolio to maximize expected return with minimizing risk. Markowitz model was employed solve linear problem. However, due numerous constraints and complexities, problem so critical traditional models are insufficient provide efficient solu...

This research proposes an enhanced teaching–learning based optimization (ETLBO) algorithm to realize efficient path planning for a mobile robot. Four strategies are introduced accelerate the (TLBO) and optimize final path. Firstly, divide-and-conquer design, coupled with Dijkstra method, is developed problem transformation so as pave way deployment. Secondly, interpolation method utilized smoot...

Strong localized downbursts generated in thunderstorms can produce surface winds very dangerous for civil structures and infrastructures. Modelling simulating such severe wind systems is therefore extremely important structural safety design speed evaluation. This paper deals with the downburst field simulation by means of an optimization algorithm that uses a analytical model, previously devel...

Machine learning techniques heavily rely on available training data in a set. Certain features the can interfere with process, so it is required to remove irrelevant and redundant build robust model. As such, several feature selection are usually applied pre-processing phase obtain most appropriate set of improve overall process. In this paper, new approach proposed based modified Teaching-Lear...

A key component of the design and operation power transmission systems is optimal flow (OPF) problem. To solve this problem, several optimization algorithms have been developed. The primary objectives program are to minimize fuel costs, reduce emissions, improve voltage profiles, losses. OPF considered one most challenging problems due its nonconvexity significant computational difficulty. Teac...

The bulk of water pipes experience major degradation and deterioration problems. This research aims at estimating the condition in Shattora Shaker Al-Bahery’s distribution networks, Egypt. developed models involve training Elman neural network (ENN) feed-forward (FFNN) coupled with particle swarm optimization (PSO), genetic algorithms (GA), sine cosine algorithm (SCA), teaching-learning-based (...