Antipersonnel landmines represent a very serious hazard endangering the lives of many people living in armed conflict counties. The huge number of human lives lost due to this phenomenon has been a strong motivation for this research. Deep Learning (DL) is considered a very useful tool in object detection, image classification, face recognition and other computer vision activities. This paper focuses on DL for the problem of landmines recognition in order to identify its type based on shape features. This research work consists of several stages: gathering a new dataset of Anti-Personnel Mines (APMs) images for training and testing purposes, employing several augmentation strategies to boost the diversity of training data, applying four different Convolutional Neural Network (CNN) models namely VGG, ResNet, MiniGoogleNet and MobileNet, and evaluating their performances on APMs recognition. In conclusion, results indicate that MiniGoogleNet exceed all of other three models in recognizing APMs with the highest accuracy rate of 97%. arabic 9 English 69
Hassan Ali Hassan Ebrahem, Abdelhamid Elwaer, Marwa Solla, Fatima Ben Lashihar, Hala Shaari, Rudwan A. Husain(7-2021)

This paper describes a Fat tree based Network-on- Chip system using MPLS networking technique. A discrete-event simulator has been developed in C++ in in order to demonstrate the applicability of the MPLS to Network-on-Chip systems. The correctness and the efficiency of the MPLS based Fat networkon- chip system is measured against well-known wormhole with virtual channels technique. The results of the MPLS-based NoC in terms of throughput and latency are clearly proves the applicability of the MPLS to implement future NoC designs arabic 8 English 38
Azeddien M. Sllame, Nagwa Abobaker Salama(11-2016)

3D Holoscopic imaging (also referred to as Integral Imaging) is a technique for creating full colour 3D optical models that exist in space independently of the viewer. In this paper, the main objective is to provide new file formats as raw material for full parallax computer generated 3D Holoscopic content, based mainly on Adapted Multiprocessor Ray Tracing System, displayed on auto-stereoscopic. The most important is being 3D model file format as there are many 3D modelling application available in the market and support different file formats. Therefore a file formats (scene description file) are developed for an Adapted Multiprocessor Ray Tracing System "Tachyon" (AMRTST) and for Ac3D computer graphics software package as well; the new file formats are created by uses 3D unidirectional camera parameters. Experimental results show validation of the new algorithm (AMRTST) and for the first time a 3D content of file formats are developed, and tests on an adapted Multiprocessor ray tracing system and on Ac3D package some scenes are tested such as teapot, car, roses and human-body.
Dr. Mahmoud Geat Eljadid, Prof. Amar Aggoun, Dr. Osama Hassan Youssef(3-2018)