Masters' thesis topics

Masters’ thesis topics
Port FOMCON to Scilab and Octave
Content: The goal of this theme is to transfer the functionality of FOMCON
package to Scilab and/or Octave software.
Contact: J. Belikov, E. Petlenkov, A. Tepljakov
Numerical methods for solving ODE: Simulink/XCos case study
Content: Different methods can be used for numerical solving ODEs in
MATLAB/Simulink and Scilab/XCos. The goal of this theme is to explore,
describe, and evaluate available methods on some complex computational
problems.
Contact: J. Belikov, E. Petlenkov, A. Tepljakov
NelinSys a toolbox for MATLAB
Content: The goal of this theme is to give an overview of NelinSys software.
NelinSys is a toolbox for MATLAB/Simulink whose main objective is to provide
better program support for analysis, design and simulation of nonlinear control
systems.
Web-page:
http://www.kar.elf.stuba.sk/~mondera/NelinSys/
Contact: J. Belikov, E. Petlenkov, A. Tepljakov
Raspberry Pi: Applications
Content: The goal of this theme is to built a control application based on
Raspberry Pi hardware. The Raspberry Pi is a credit card sized single-board
computer. It uses Linux kernel-based operating systems. Web-page:
http://www.raspberrypi.org/
Contact: J. Belikov, E. Petlenkov, A. Tepljakov
Fractional-order state-space modeling
Content: The goal of this topic is to study fractional-order state space models
and to develop corresponding MATLAB applications to be used for fractionalorder
system modeling, identification, and control.
Contact: J. Belikov, E. Petlenkov, A. Tepljakov
BeagleBoard: Control applications
Content: The goal of this theme is to give an overview of BeagleBoard and
analyze possible applications in nonlinear control theory. The BeagleBoard is a
low-power open source hardware single-board computer. It was also designed
with open source software development in mind, and as a way of demonstrating
the Texas Instrument’s OMAP3530 system-on-a-chip. The BeagleBoard
measures approximately 75 by 75 mm and has all the functionality of a basic
computer. Web-page: http://www.beagleboard.org/
Contact: J. Belikov, E. Petlenkov, A. Tepljakov
Android-MATLAB/Simulink interface
Content: The purpose of this work is to research and develop methods for
interfacing MATLAB/Simulink to an application running under the Android OS
on a tablet or a cellphone. The expected result is a working Android application
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capable of collecting data from MATLAB as well as sending data back for e.g.
control purposes. The communication can be established via a Wi-Fi network or
Bluetooth.
Contact: J. Belikov, E. Petlenkov, A. Tepljakov
Image recognition by spiking neural networks
Content: Implementation of spiking neural networks and learning algorithms in
Matlab. Application of Spiking Neural Networks to image and/or pattern
recognition and classification.
Contact: E. Petlenkov
Evolutionary training of Artificial neural networks
Content: Training of the ANNs is usually formulated as minimization of an error
function by iteratively adjusting connection weights. Most training algorithms are
based on gradient descent method. Another technique is to formulate the training
process as the evolution of the weights and ANN architecture. One of the
possible solutions - genetic algorithm with real-number representation.
Contact: E. Petlenkov, K.Vassiljeva
ISC AC generaatori- ostsilloskoobi tarkvara loomine Linux ja/või
Mac arvutile
(seade on HomeLabKit kohvris) . Hetkel on olemas vaid Windowsi
versioon. Võimalik 2 erinevat tööd.
Contact: M.Jaanus
Mikroprotsessori LPC2148 baasil oleva õppemaketile eestikeelse
kasutusjuhendi loomine.
http://embeddedartists.com/products/education/edu_2148.php
Contact: M.Jaanus
Muudetava sisuga õppemaketi disain
Makett läheb kasutusse kodulaborikohvris. (töö eeldab häid teadmisi
elektroonikavaldkonnast)
Contact: M.Jaanus
Acoustical signal de-noising using multiple microphones
Content: Audio signal acquisition using multiple microphones allows for
concentrating on a specific sound source position and attenuating the
sounds from other sources and ambient noise. The goal is to try several
positioning schemes of microphones, acquire signals from multiple
sources (all at author’s choice) and test several signal de-noising
algorithms in MATLAB. Own suggestions on algorithms and their
optimization are highly welcome.
Contact: S.Astapov
Source separation techniques in single and multi-sensor systems
Content: Having a signal that contains signatures of several signal sources
(e.g. several people talking simultaneously, cardiogram of pregnant
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woman, etc.), the task of source separation is in focusing on the signal of a
specific source and extracting it from the mixture signal. The goal of the
topic is to study and test source separation algorithms on different kinds of
signals (acoustic, vibration, ECG, etc.). Own suggestions on algorithms
and their optimization are highly welcome.
Contact: S.Astapov
Fitness metrics in multidimensional cluster analysis
Content: A cluster is a group of objects, such that the objects in the same
cluster are more similar to each other than to those in other clusters. If
each object is represented by a vector of N parameters (size, duration,
energy, etc.), than these objects form clusters in an N-dimensional space.
Using clustering algorithms it always possible to divide all the objects into
a predefined number of clusters, however to reach a desired quality of
clustering, thorough analysis of data is most often needed. If the
dimensionality of the object space is larger than 3, it is no longer possible
to analyze heuristically. The goal is to study and/or propose own metrics
of cluster fitness and test the possibilities of cluster rearrangement in order
to increase clustering quality.
Contact: S.Astapov
Fingerprints recognition using multirate neural networks
Распознавание отпечатков пальцев с помощью многоскоростных
нейронных сетей
Content: The goal of this theme is not only to search for the best possible
multirate image processing of fingerprint images captured from fingertips
with difficult conditions (e.g., dry fingertips, rough fingertips, and
allergic-skin fingertips), but also to enhance the obtained results with the
case of single-rate image processing of fingerprints. The
MATLAB/Simulink environment can be used.
Contact: I. Astrov
Flight control of a ducted fan VTOL UAV for enhanced situational
awareness
Управление полетом для Беспилотного Летательного Аппарата
(БЛА) вертикального взлета и посадки с вентилятором в
кольцевом обтекателе для улучшенной ситуационной
осведомленности
Content: The goal of this theme is to search the critical component of the
Situational Awareness (SA), the control of autonomous vertical flight of a
Vertical Takeoff and Landing (VTOL) unmanned aerial vehicle (UAV)
during critical situations in real-time search-and-rescue operations. The
MATLAB/Simulink environment can be used.
Contact: I. Astrov
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Target tracking using vision based control of motion of a multi-rotor
UAV
Отслеживание цели с использованием управления движением
многороторного Беспилотного Летательного Аппарата (БЛА) на
основе зрительного восприятия
Content: The goal of this theme is to use the video camera of multi-rotor
Unmanned Aerial Vehicle (UAV) to identify the location of a moving
object on the ground from visual measurement. The MATLAB/Simulink
environment can be used.
Contact: I. Astrov
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