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Noise cancellation using adaptive filter algorithms
(2015) Almallahmed, Omar Mohyalden
The aim of this research is to study the theoretical adaptive filters for noise canceling problem. Firstly, it describes the notion using adaptive filters. Secondly, it presents three more common adaptive filters the RLS, NLMS and LMS algorithms. In addition, it describes the implementation of adaptive filters. Furthermore, the aim of this study is to solve some of the noise problems that affect the performance of the systems. The use of Noise Canceling theories is the most important solution for this problem, and for that research adaptive filters are used to solve these problems. The most important algorithms for these filters are RLS, NLMS and LMS algorithms. The research tests these algorithms with adaptive filters applications (noise cancellation, signal prediction, system identification, echo cancellation), and have chosen the best algorithm based on the value of Mean Square Error (MSE). The research presents two examples of a solution for the noise problem of the voice signal using Simulink MATLAB for different environments. The first example is active noise canceling theory, where, the color noise and then white noise (Gaussian noise) on the audio signal is used, after that three algorithms RLS, LMS, NLMS are applied to the audio signal to detect and cancel both noises. The second example is Channel Equalization, which also applies the three algorithms to solve the very same problem. Finally, the results of this Simulink are discussed and future work is present
Measurement of system security issues of private computer networks for different types of attacks
(2015) Aljadir, Taha
In this thesis, two different types of Remote Access Virtual Private Network protocols (PPTP and SSL) have been established virtually using Virtual Lab. In addition, different types of security attacks have been applied to each protocol under the same conditions. For each attack, different tools were applied separately to each protocol. Moreover, the attacks were used to target different components for each VPN. The results were studied carefully, which led to obtaining a good security analysis used later to compare between those protocols under the test conditions and to give recommendations to use each of those protocols
A performance and functional analysis tool for testing and maintenance of web-based application from the user perspective
(2014) Aslan, Alper
This thesis focuses on the performance stability score (PSS) of the Web-Based Application Workflow (WBAW) and gathers the automated virtual user response times, repeated with scheduled periods, to calculate the best successful response interval heuristically. The lack of server-side hardware, network and application resources can affect the end-user Internet browsing experience negatively. This kind of negative effects can be monitored only on the end-user web browser. The virtual user browser scripts can be used to monitor the problems. The name of the application, developed, is called "MyToolset". It is designed and implemented by using the open source technologies. The research on this subject aims to monitor the performance degradation and failures on WBAW weekly, raise appropriate alerts and calculate the performance stability score. Furthermore, MyToolset reports the WBAW failures by taking the snapshot of the end-user browser perspective as evidence. The entire mathematical model is based on the calculation of this idea. Live graphics and comparable charts are used to report the results. After custom consecutive performance degradations and failures occur, MyToolset will raise the alerts. The thesis concludes that the WBAW and PSS is used for monitoring, test automation and helping the capacity planning of server-side resources, WBAW works on, such as hardware, network and applications
Developing a GIS based crime analysis system
(2013) Özçetin, Mustafa
Geographic Information Systems (GIS) have a lot of applications that are getting more and more importance in our daily life. One of the hot and crucial application areas of GIS is crime mapping. Nowadays, crime rates tend to increase and thus analyzing the crime trends and taking preventive precautions are very important. Often, crimes display spatial or temporal patterns. For instance, some crime types are committed in some areas with a relatively higher density rate. Some others may occur in particular time ranges in a day. Adding geographic support to crime analysis methods can provide extremely valuable and exclusive benefits which tabular or statistical analyses cannot provide. For example, seeing the spatial distribution of a particular crime type or comparing different types of crimes on the map can give critical and important decision making tips for managers. Hence, adding spatial dimension to crime analysis techniques help provide great contributions to police departments. In this study, after doing some researches about crime mapping, a GIS-based crime analysis system, namely Crime Analyzer, has been developed from scratch. Crime Analyzer not only provides various spatial and temporal analysis tools but also presents a flexible method to extract data from various sources such as database systems to solve crime mapping problems. Keywords: GIS Based Crime Analysis, Crime Mapping Software

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