3D Integral Imaging (also referred to as 3D Holoscopic imaging) methodology uses the principle of “Fly’s eye” and hence allows natural viewing of objects (i.e. fatigue free viewing); 3D-holoscopic technology produces images that are true optical models. This technology is based on physical principles with duplication of light fields. In this paper, a new method of visualization medical 3D integral images is proposed. Digital Imaging and Communications in Medicine data images (DICOM) taken from CT, MRI, PET and US images that produced by 3D-Doctor software to generate medical 3D integral images visualization of anatomy without glass in natural light. The method is mainly based on multiprocessor ray tracing system as renderer. The medical 3D content is captured in real time with the content viewed by multiple viewers independently of their position, without the needs of 3D eyewear. Experimental results show validation of the new algorithm and demonstrated that medical 3D integral images content can be displayed on commercially available multi-view auto-stereoscopic display. Medical 3D integral images content is parsed into multiprocessor ray tracing system, consequently, short time of medical 3D integral images movie of such pelvis scene is generated and displayed on PC screen, LCD and Holovizio display.
Dr. Mahmoud Geat Mahmoud Eljadid, Prof. Amar Aggoun(5-2016)

Epidemics control is a continues struggle. In this paper is an attempt to model and then simulate an epidemiological disease known as Cutaneous Leishmaniasis (CL), which is currently affecting large communities in Libya. The model is developed to facilitate the Agent Based Models (ABM) as one of the many tools applied for epidemiological management. Validation of the model is considered by comparing the model's behavior with a trend of field data used by Libyan authorities. The methodology used for describing and designing CL model is derived from nature of the disease mechanisms. The ABM model involves three types of agents: Human, Rodent and Sand-fly. Each agent has its own properties. Additionally, global model parameters are used for following the human infection processes. Several experiments are given for illustrating the model performance, and monitor the number of people infected. Simulation results show that active human agents are more vulnerable to sand-fly bites, and infection rate is increasing or decreasing dependent on number of sand-fly vectors, number of host rodents, and human population awareness level. arabic 9 English 68
Rudwan A. Husain, Hala Shaari, Marwa Solla, Hassan A. H. Ebrahem(3-2019)

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)