This paper describes a proposal for FAT tree based Network-on- Chip system based on MPLS forwarding mechanism. The FAT tree includes processing nodes and communication switches. IP node (processing nodes) has a message generator unit which randomly generates messages to different destinations with different packet lengths and buffering. The switch is based on MPLS technique and consists of the following units: crossbar switch, input/output link controllers and routing and arbitration units. A simulator has been developed in C++ to analyze the proposed architecture. A comparison with wormhole switch is provided to show the efficiency of the MPLS designed switch arabic 12 English 65
Azeddien M. Sllame, Nagwa Abobaker Salama(1-2016)

: Deoxyribonucleic acid (DNA) micro-arrays present a powerful means of observing thousands of gene terms levels at the same time. They consist of high dimensional datasets, which challenge conventional clustering methods. The data’s high dimensionality calls for Self Organizing Maps (SOMs) to cluster DNA micro-array data. The DNA micro-array dataset are stored in huge biological databases for several purposes . The proposed methods are based on the idea of selecting a gene subset to distinguish all classes, it will be more effective to solve a multi-class problem, and we will propose a genetic programming (GP) based approach to analyze multi-class micro-array datasets. This biological dataset will be derived from multiple biological databases. The procedure responsible for extracting datasets called DNA-Aggregator. We will design a biological aggregator, which aggregates various datasets via DNA micro-array community-developed ontology based upon the concept of semantic Web for integrating and exchanging biological data. Our aggregator is composed of modules that retrieve the data from various biological databases. It will also enable queries by other applications to recognize the genes. The genes will be categorized in groups based on a classification method, which collects similar expression patterns. Using a clustering method such as k-mean is required either to discover the groups of similar objects from the biological database to characterize the underlying data distribution. arabic 9 English 55
Mariam Abojela Msaad, Zakaria Suliman Zubi(1-2011)

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)