In this thesis, a Content-Based Image Retrieval (CBIR) system is presented that supports querying with respect to color and texture low-level features. The fundamental idea is to generate automatically image descriptors by analyzing the image content. The focus will be on computing global similarity between images. Query is made upon images of homogeneous color/texture that do not require segmentation.
Due to the expansion of the data transmission capabilities, it is utilized to make many services easier, efficient, and more controlled. The public services are more effective if they have online data transmission to get faster request servicing, maintenance, and control.This project is concerned with designing and implementing a dedicated network management system prototype.
Encoding and decoding of transmitted data through the communication system is considered as an important subject that paid great attention. It is well known that there are many types of error correction codes; some of these types are hamming and extended hamming codes.
