University projects

MSc. MSc. Marek Marek ŠuplataŠuplata

marek.suplata at gmail.com at stuba.sk

SLOVENSKÁ TECHNICKÁ UNIVERZITA V BRATISLAVEFakulta elektrotechniky a informatiky

SLOVAK UNIVERSITY OF TECHNOLOGY IN BRATISLAVAFaculty of Electrical Engineering and Information Technology

Marek Šuplata

2

Moving objects tracker

Position: Programmer

Name of project: Optical flow detector

Project description: Moving objects tracker

Description: Application aimed at counting moving object especially moving cars. Information about car flow density can be used for traffic prediction.

Project designed and developed by me during 10 months.

Source code size: about 1100 lines = 26kB of C++ code

Tasks: all phases of application development cycle

Technologies: C++, Trolltech Qt4.3, MATLAB

Platforms: Microsoft Windows, Linux

Marek Šuplata

3

Simulator of coordinating productions

Project description: Simulator of coordinating productions

Description: Simulator of coordinating productions via TCP/IP socket server communication. Server part can handle more clients due to the pthread design.

Project designed and developed by me during 3 months.

Source code size: about 48 kB of ANSI C code

Tasks: all phases of application development cycle

Technologies: C language under Linux POSIX environment,

nCurses

Marek Šuplata

4

Position: Programmer

Name of project: Biometrix

Project description: Human Face Biometric System

Description: Human face recognition prototype application based on the state-of-the-art knowledge and algorithms in the field of feature extraction, computer vision and artificial intelligence. GUI, machine & image processing algorithms constitutes separate synchronized threads. Face recognition done on video stream in near real time.

keywords: two dimensional principial component analysis, linear discriminant analysis, probabilistic neural network, feature extraction & fusion, L1 sparse representation

Project designed and developed by me during 1.5+ year.

Source code size: about 2800 lines = 80 kB C++ code

Tasks: all phases of application development cycle

Technologies: C++, Trolltech Qt 4, Intel OpenCV, GNU Gsl

Platforms: Microsoft Windows, Linux

Face biometric recognition system

Marek Šuplata

5

Medical CT volume data visualization

Position: Researcher & Developer

Project description: Volumetric Data Visualization

Description: The main goal is to develop application able automatically preprocess 3D volume data and extract necessary information for clear visualization. Research will be aimed on soft computing methods able to learn underlying structure in data and use of massive parallel GPU performance for image pre/post processing phases and data classification. Project is in alpha state.

Technologies: Visual C++, Nokia Qt 4.6, OpenGL, GLSL, Matlab prototyping

Platforms: Microsoft Windows

Marek Šuplata

6

Power network blackouts monitor

Position: Programmer

Project description: Power network blackouts monitor

Description: Application designed to monitor voltage & frequency range of 230V power network and to store every blackout to HTML file. Data acquisition is done via programmable digital measurement instruments with GPIB interface.

1. Running with more synchronized threads.

2. Uses special GUI widgets (charts, LED lights).

Project designed ,developed & tested by me during 2 months.

Source code size: about 2800 lines = 51 kB of C++ code

Tasks: all phases of application development cycle

Technologies: C++, MFC, Microsoft Visual C++ 6.0, GPIB, ICSP

GPIBController

DMMVoltage

GPIB

DMMFrequency

GPIB

HTML LOGfile

WRITE

READ

Marek Šuplata

7

Other university mini projects

• Visual system: counting and recognition of simple objects - about 67 kB of C++ code – Borland C++ Builder IDE

• x86 assembler (Turbo Assembler) about 12 kB of code – work with numbers, files, strings sorting

• Control logic for school model of mini robot - 6DOF, interpolation, trajectory recording, control HW unit with IN/OUT instructions – about 1300 lines of C code

Personal mini projects:

• Python – small utilities cca 6kB – e.g. Web pages information parser• Basic programming skills with DSPs – Texas Instrument C5xx, C6xx, &

Analog Devices + Simulink digital filter design (FIR, IIR)• AD converter programming - calculation of signal parameters• Global optimization applications – genetic algorithms, differential evolution• Machine learning – genetic algorithm, adaBoost, FF neural network (C/C++)

Marek Šuplata

8

Work shift report maker

Marek Šuplata

9

Work shift report maker - Microsoft Excel XML output

Marek Šuplata

10

Study curriculum

Marek Šuplata

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Marek Šuplata

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Marek Šuplata

13

• Thank you for attention

Marek Šuplata

14

Motion control projects in Matlab/Simulink

Marek Šuplata

15

DCS600 PID positional servosystem

Position: Developer

Name of project: Positional servosystem

Project description: Synthesis of control algorithms (torque generator + position discrete PID) of DCS600 positional MASTER-SLAVE servosystem.

Tasks: all phases of development cycle + experiments with

real device

Technologies: MATLAB, Simulink, RT toolbox

Marek Šuplata

16

PID synthesis

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Marek Šuplata

17

DCS600 PID positional servosystem

Comparison RealTime experiments vs. Simulink model

Position error = desired – actual positionPosition error = desired – actual position

Marek Šuplata

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Asynchronous motor + Direct Vector Control loops design

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Marek Šuplata

19

Asynchronous motor + control loops design

0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20

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X: 1.457Y: 1.725

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Is1

0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2

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X: 1.471Y: 0.1066

cas [s]

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Is2

X: 0.755Y: 0.002767

Marek Šuplata

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Asynchronous motor + control loops design : Load experiments

0 0.5 1 1.50

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Vysetrovanie vplyvu skokovej zataze v zavislosti od pasma priepustnosti

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Marek Šuplata

21

Other projects …

Genetic algorithms: Optimization ( control loop parameters setup) Identification ( servosystem parameters)

Recent project:Artificial neural network based velocity estimation = sensorless structure. Real-Time testing with dSPACE & asynchronous motor.

Marek Šuplata

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Marek Šuplata

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ANN parameter settings

• Sampling time: 1 ms

• Sensor layer: 4 input neurons

• 1 hidden layer: 12 tansig neurons

• Output layer: 1 linear neuron

• Training method: Levenberg-Marquardt

• 60 training epochs

• Identified normalization constants:

is2 : 0.1938

us2* : 103.6436

Normalization for range <-1;+1>

Normalization constant for *

Marek Šuplata

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1.5 2 2.5 325

30

35

40

Filtracia klzavym priemerom N=15

1.5 2 2.5 325

30

35

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Povodny nefiltrovany signal

dSPACE experiments - *=35 rad/s

0 0.5 1 1.5 2 2.5 30

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cas [s]

[

rad.

s-1]

Estimácia rýchlosti na báze UNS

0 0.5 1 1.5 2 2.5 30

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40

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cas [s]

[

rad.

s-1]

Filtrácia klzavým priemerom N=15

mean = 34.553var = 5.407

mean = 34.552var = 1.026

Marek Šuplata

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dSPACE experiments - *=+-10 rad/s

1.5 2 2.5 3 3.5 4 4.5 5

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Filtracia klzavym priemerom N=15

cas [s]

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rad.

s-1]

1.5 2 2.5 3 3.5 4 4.5 5

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Povodny nefiltrovany signal

cas [s]

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rad.

s-1]

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rad.

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Estimácia rýchlosti na báze UNS

0 2 4 6 8 10-15

-10

-5

0

5

10

15

[

rad.

s-1]

Filtrácia klzavým priemerom N = 15

mean = 9.7529var = 2.9643

mean = 9.7393var = 0.4903

Marek Šuplata

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Marek Šuplata

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Year’s project – Discrete event system modeling in Stateflow

Project description: DEDS model of production line

Description: my year’s project has been focused on gaining some basic skills in the field of modeling of discrete event driven systems with Stateflow.