Biometric systems have a powerful potential to provide security for a variety of applications, systems are nowadays being introduced in many applications and have already been deployed to protect personal computers, Banking machines, credit cards, electronic transactions, airports, high security institutions like nuclear facilities, Military Bases and other applications like borders control, access control, sensitive data protection and on-line tracking systems. While biometrics may improve security in different environments and serve many purposes, biometric systems, like any other security system, have vulnerabilities and are susceptible to threats. they are susceptible to external vulnerabilities of biometric systems so that their weaknesses can be found and useful countermeasures against foreseeable attacks can be developed The increasingly high profile use of biometrics for security purposes has provoked new interest in researching and exploring methods of attacking biometric systems.
Abdulmonam Omar Ahmed Alaswad, Ahlal H. Montaser, Fawzia Elhashmi Mohamad(0-2014)

Agent-Based Models (ABM) have become popular as tools for epidemiological simulations due to their ability to model real life phenomena at individual entity levels. ABM is a relatively new area for modelling as compared to the classical modelling methods. Many different fields use agentbased models including ecology, demography, geography, political science and epidemiology. Recently, an abundance of literature has presented applications of agent-based modeling in the biological systems. In this paper, the authors present an agent-based model attempts to simulate an epidemiological disease known as Cutaneous Leishmaniasis (CL). The model is developed to investigate the ability of ABM in modelling a disease that keeps speeding in Libya. The methodology used for describing and designing CL model is derived from nature of the disease mechanism. The ABM model involves three types of agents: Human, Rodent and Sand-fly. Each agent has its own properties, in addition to other global parameters which affect the human infection processes. The main parameter used for monitoring the model's performance is the number of people infected. The model experiments are designed to investigate ABM’s performance in modeling CL disease. Simulation results show that human infection rate is increasing or decreasing dependent on number of sand-fly vectors, number of host rodents, and human population awareness level arabic 7 English 62
Rudwan A. Husain, Hala Shaar, Marwa Solla, Hassan A. H. Ebrahem(3-2019)

3D Holoscopic imaging (also known as Integral imaging) is a technique that is capable of creating and encoding a true volume spatial optical model of the object scene in the form of a planar intensity distribution by using unique optical component This paper presents an new technique that can produce 3D integral imaging animations movies, using the integral ray tracing algorithm. The main purpose of this paper is to propose a plug-in tool to interface with commercially available Ac3D Computer Graphics software package. The proposed approach is based on a 3D integral imaging ray-tracer software, multiprocessor ray tracing system, and a 3D unidirectional integral camera model. Basically, 3D camera file is required to manipulate 3D camera viewing parameters in order to have a new position of the 3D integral imaging camera. Ac3D IIP is especially developed in order to read the Ac3D model file format. Experimental results show validation of the new adapted software tool and tests on such as car and roses models. Consequently, 3D holoscopic computer animation has been created. Although a basic 3D model was used, this still showcases the principles behind 3D holoscopic imaging and it has been successfully displayed on a HoloVizio display.
Dr. Mahmoud Geat Eljadid, Prof. Amar Aggoun(3-2018)