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Real-time 4-way Intersection Smart Traffic Control System

Since traffic congestion is becoming a regular part of commuters' life, there is a pressing need for better traffic management. Most current traffic control systems are not sensitive to the current state of the roads being controlled, instead they are fixed, timed traffic signals that do not respond to unpredicted congestion. Solutions have been proposed to solve this problem including creating a

Software and Communications

Combination-Combination Anti-Synchronization of Four Fractional Order Identical Hyperchaotic Systems

In this manuscript, we investigate the methodology of combination-combination anti-synchronization of four identical fractional order hyperchaotic system. The methodology is implemented by considering a 4D fractional order hyperchaotic system. The controllers are constructed using adaptive control technique to ensure the combination-combination anti - synchronization. The synchronization schemes

Software and Communications

Comparative Study of Nusselt Number Correlations for Hitec Molten Salt

Molten salt has been realized as a potential candidate as a clean non-pollutant heat transfer fluid for concentrated solar power plants because of its high heat capacity and broad ranges of operational temperatures. In this study, the Nusselt number of the commercially known Hitec molten salt is numerically assessed, using k-ϵ model turbulence model with non-equilibrium wall functions, for the

Mechanical Design

UML Modeling of Online Public Bus Reservation System in Egypt

Designing a proper public transportation system is a main concern for many countries with large population size like Egypt. Therefore, the online based transportation business for individuals is highly growing in Egypt and the concept of online reservation in the transportation field has arisen. In this paper, a model in the analysis phase for an online public bus reservation system (OPBRS) is

Mechanical Design

Intelligent Hybrid Approach for Feature Selection

The issues of multitude of noisy, irrelevant, misleading features, and the capability to tackle inaccurate and inconsistent data in real world topics are the justification to turn into one of the most significant needs for feature selection. This paper proposes an intelligent hybrid approach using Rough Set Theory (RST), Chaos Theory and Binary Grey Wolf Optimization Algorithm (CBGWO) for feature

Artificial Intelligence

Comparative Evaluation of Face Detection Algorithms

Computer vision is shaping a new era with its constant development of SOTA algorithms. One heavily contested sub-field of computer vision is face detection, due to its versatile usage in many fields such as security, medical diagnosis, entertainment, and military applications. As the technology develops, it aims to run faster and more accurately on mobile devices and remote computers. In this

Artificial Intelligence

A Universal Model for Defective Classes Prediction Using Different Object-Oriented Metrics Suites

Recently, research studies were directed to the construction of a universal defect prediction model. Such models are trained using different projects to have enough training data and be generic. One of the main challenges in the construction of a universal model is the different distributions of metrics in various projects. In this study, we aim to build a universal defect prediction model to

Artificial Intelligence

A Hybrid Deep Learning Based Autonomous Vehicle Navigation and Obstacles Avoidance

Technological revolution has reached all life activities starting from day planning reaching communication, entertainment, industry, and transportation. Each of previously mentioned categories get improved in a way making human life easier and safer. In the use of automatic control, several researches focused on automating vehicles’ systems to make driving easier and safer. The availability of

Mechanical Design

Enhanced Arnold's Cat Map-AES Encryption Technique for Medical Images

Human's health information is considered momentous information, which is represented in medical systems. The amount of medical image information available for analysis is increasing with the modern medical image devices and biomedical image processing techniques. To prevent data modification from unauthorized persons from an insecure network, medical images should be encrypted efficiently. In this

Mechanical Design

Prediction of the Hitec Molten Salt Convective Heat Transfer Performance Using Artificial Neural Networks

Hitec molten salt is a ternary eutectic mixture salt that is used as an energy storage medium in concentrated solar power plants to improve the system performance and reduce the operational cost. Thus, the heat transfer performance represented in Nusselt number has been investigated numerically under different inlet temperature and velocity conditions with constant uniform side heat flux. Also

Mechanical Design