Resultaten voor 'muhammad ali'

Software Architecture Knowledge Management

This book describes knowledge management in software architecture. It presents many approaches that are in use in software companies today, approaches that have been used in other domains, and approaches under development in academia.

Agile Software Architecture

Agile software development approaches have had significant impact on industrial software development practices. This title focuses on gaps in the requirements of applying architecture-centric approaches and principles of agile software development and demystifies the agile architecture paradox.

1. Muhammad , Ali
2. Farhan Ali , Zafar
3. Yousaf , Saeed

Camouflage

The aim of this work is to develop an application which can be used for privacy and security purposes over an open environment like internet. The application also provides multilayer security in the form of steganography, which is used to hide the data into the image and secondly, cryptography in order to encrypt the image with a key. Application developed is based on Image Steganography by converting the data into streams of bits and then hiding the data inside an image. Digital images are considered better because of their high usage not only in the daily life activities but also on internet. The objective of this application is to provide a safe and secret communication to business and security sectors for transmitting their secret data on internet without getting attention of intruders. This method is considered better than encryption because the data is invisible to others which prevents from wrong attention and make communication secure.

1. Muhammad Ali , Martuza
2. Khan , Wahid

Reconfigurable Transform Architecture for Multiple Video Codecs

This book presents a cost-shared architecture to compute multiple integer discrete cosine transform (Int-DCT) of four video codecs: AVS, VC-1, H.264/AVC and HEVC (under development). Based on the symmetric structure of the matrices and the similarity in matrix operation, we develop a generalized ¿¿decompose and share¿¿ algorithm to compute both 4x4 and 8x8 Int-DCT. The algorithm is later applied to the video codecs. The hardware share approach ensures maximum circuit reuse during the computation. The architecture is designed with only adders and shifters to reduce the hardware cost significantly. The design is implemented on FPGA and later synthesized in CMOS 0.18um technology. The results show significant reduction in hardware cost and meet the requirements of real time video coding applications.

1. Rana Rehan , Khalid
2. Asma , Haque
3. Muhammad , Ali

Image processing based diagnosis of thyroid abnormalities

This book is about the development of a tool by using Matlab module "Image Processing Toolkit". A rule based system has been proposed to aid the physicians in the diagnosis of thyroid abnormalities. This system is intended just to facilitate the physicians not replace them. The major contributions of this research are: A methodology to automatically diagnose of cold and hot spots nodules has been proposed. The size of lobes on the scan is calculated. The location of the nodule is determined; the location is given in terms of lobes. This book also give deep insight into methodology of how to develop any kind of application in Matlab. Dr Asma Haque and Muhammad Ali provides me excellent assistance and technical guidance for the completion of this work.

1. Muhammad , Ali
2. Abdul , Haseeb
3. Muhammad Bilal , Bhatti

Artificial Intelligence

Many Malware detection systems these days are using signature based techniques to detect malwares and viruses. The zero day or new infected files are not detected by these signature based Anti Viruses and their signature is generated only after they have done their damage. Hence it becomes very important for a user to constantly update the antivirus software. To overcome these problems, we have proposed a solution based on Artificial Intelligence techniques. So the clients will not require frequent updates and probability of detecting zero day infections will rise abruptly. This project is based on implementing data mining algorithms mainly C4.5 Decision Tree learner. We have generated a dataset on the basis of already known malicious executable files. A C4.5 decision tree is generated based on the generated dataset and the unknown executables are passed through the tree to classify the executable as a malicious or a benign file. The purpose is to get rid of the manual signature based Malware detection systems that require constant updated signatures and making systems artificially immune to unknown and zero day malicious executables.