National Repository of Grey Literature 27 records found  beginprevious21 - 27  jump to record: Search took 0.01 seconds. 
Virus Checking Module for Thunderbird
Ďurfina, Lukáš ; Rychnovský, Lukáš (referee) ; Peringer, Petr (advisor)
This bachelor thesis deals with development of virus checking module for e-mail client Thunderbird. The module checks e-mail content using AVG tools. It is accomplished by scanning attachments in incoming and outgoing e-mails. The module is implemented by using technologies XUL, XPCOM, JavaScript and DOM. It works successfully with protocols POP3 and IMAP, and provides execution of several actions with infected message.
Anti-Malware Screensaver
Rebenda, Ivo ; Polášek, Petr (referee) ; Peringer, Petr (advisor)
The aim of this thesis is creating anti-malware screen saver and move hardware demanding anti-malware scanning, on time when the user doesn't work with computer. Application programming interface is AVG API, programming language C++. Target operating system is Microsoft Windows.
Intergration of AVG Development Tools to Visual Studio 2005 Environment
Rajman, Jakub ; Hrubý, Martin (referee) ; Kočí, Radek (advisor)
Bachelor's thesis treats of creating small application called add-in for Visual Studio 2005. Add-in provides some new AVG development tools into IDE. First tool offers support for new Visual Studio Debugger's visualizers. Second add-in's ability is Editor and Manager C++ Code Snipets. And the last tool is integration AVG Program documentation as a help in Visual Studio. All these tools cooperate with firm's server.
Virus Checking Module for Firefox
Ingr, Miroslav ; Polášek, Petr (referee) ; Peringer, Petr (advisor)
Thesis describes the development of an anti-malware extension for the Firefox web browser. The component, located in a toolbar, checks downloaded files and communicates with the AVG software.
Using of OpenCl at AVG in Windows Platform
Bajcar, Martin ; Křoustek, Jakub (referee) ; Hruška, Tomáš (advisor)
The main topic of this thesis is the practical use of OpenCL at AVG company. AVG is looking for ways to decrease hardware requirement of their security product and also to decrease computation time of some algorithms. Using OpenCL is one way to achieve this requirement. Significant part of this thesis deals with optimization strategies for AMD and NVIDIA graphics cards as they are most common cards among users. Practical part of the thesis describes parallelization of two algorithms, their analysis and implementation. After that, the obtained results are presented and cases in which the use of OpenCL is beneficial are identified. As a part of implementation, library containing various utility functions which can aid programmers to implement OpenCL based code was developed.
Ultrasound blood flow detector
Vožda, Michal ; Dlouhý, Jiří (referee) ; Rozman, Jiří (advisor)
This work deals with Doppler methods of measuring blood flow in blood vessels and a simple design with a continuous wave for the 4 MHz frequency and intensity of ultrasound 100 mW/cm2. The work contains a description of the functional blocks and design of their involvement. Individual blocks are simulated in PSpice. The resulting circuit is a printed circuit board and a 3D model of the plate fitted in EAGLE.
Analysis of AVG signals
Musil, Václav ; Sekora, Jiří (referee) ; Rozman, Jiří (advisor)
The presented thesis discusses the basic analysis methods of arteriovelocitograms. The core of this work rests in classification of signals and contribution to possibilities of noninvasive diagnostic methods for evaluation patients with peripheral ischemic occlusive arterial disease. The classification employs multivariate statistical methods and principles of neural networks. The data processing works with an angiographic verified set of arteriovelocitogram dates. The digital subtraction angiography classified them into 3 separable classes in dependence on degree of vascular stenosis. Classification AVG signals are represented in the program by the 6 parameters that are measured on 3 different places on each patient’s leg. Evaluation of disease appeared to be a comprehensive approach at signals acquired from whole patient’s leg. The sensitivity of clustering method compared with angiography is between 82.75 % and 90.90 %, specificity between 80.66 % and 88.88 %. Using neural networks sensitivity is in range of 79.06 % and 96.87 %, specificity is in range of 73.07 % and 91.30 %.

National Repository of Grey Literature : 27 records found   beginprevious21 - 27  jump to record:
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