| Title | Date | Views | Brief Description |
|---|
| An analysis of a sparse linearization attack on the advanced encryption standard |
2006 |
3163 |
"Since Rijndael was accepted as the new Advanced Encryption Standard by the NIST, several techniques have been developed to attack it. One of the more controversial techniques is a relatively new mathematically based attack known as Extended Sparse L... |
| Wi-Fi 802.11 based mobile robotics positioning system |
2007 |
1842 |
"This thesis provides a method for finding a location of a mobile robot based on the signal strengths obtained from the IEEE 802.11 standard wireless Access Points. In this method a set of eight signal loss functions is proposed to enable the robot t... |
| Stabilizing RED queue oscillation using the logistic map in AutoRED mechanism |
2009 |
1782 |
Active queue management (AQM) is one of the ways to control congestion at Internet Routers. One of the widely used AQM's is the random early detection (RED) scheme. The RED scheme suffers from chaotic queue oscillation problem particularly in a highl... |
| eChirp: Measuring Available Bandwidth for the Internet Using Multiple Chirp Packet Trains |
2008 |
2379 |
Measuring available bandwidth over a network path in the Internet is a challenging research problem. In this thesis we have studied this problem and developed a new technique called "eChirp". First, the effectiveness of pathChirp [1] is studied in te... |
| Evaluation of the performance of deep learning techniques over tampered dataset |
2015 |
4668 |
The reduction of classification error over supervised data sets is the main goal in Deep Learning (DL) approaches. However, tampered data is a serious problem in machine learning techniques. One of the recent interests to the machine learning communi... |
| Applying hybrid cloud systems to solve challenges posed by the big data problem |
2013 |
1237 |
The problem of Big Data poses challenges to traditional compute systems used for Machine Learning (ML) techniques that extract, analyze and visualize important information. New and creative solutions for processing data must be explored in order to o... |
| Feature extraction and feature reduction for spoken letter recognition |
2016 |
3494 |
The complexity of finding the relevant features for the classification of spoken letters is due to the phonetic similarities between letters and their high dimensionality. Spoken letter classification in machine learning literature has often led to v... |