Prejsť na obsah
Výskum

VEDECKÉ  PRÁCE MATERIÁLOVOTECHNOLOGICKEJ  FAKULTY SLOVENSKEJ  TECHNICKEJ  UNIVERZITY V BRATISLAVE 
SO SÍDLOM V TRNAVE


RESEARCH  PAPERS FACULTY OF MATERIALS SCIENCE AND TECHNOLOGY SLOVAK UNIVERSITY OF TECHNOLOGY IN TRNAVA

year 2014
volume  22 number 35
  ISSN 1338-0532 (online)
  ISSN 1336-1589 (tlačené vydanie)
Editorial Board

The scientific journal of the Faculty of Materials Science and Technology (FMST), Slovak University of Technology (SUT) in Trnava. It is issued twice per year. The journal is issued by the Slovak University of Technology in Bratislava Publisher, Vazovova 5, Bratislava. Address of editorial office: Publisher AlumniPress, Faculty of Materials Science and Technology SUT, Paulínska 16, 917 24 Trnava, Slovak Republic.

Editor-in-chief:  Kvetoslava Rešetová, PhD.

Phone:  0915847111, fax: 033/5521002

e-mail: kvetoslava.resetova@stuba.sk

Contributions were edited for linguistic accuracy.

Registered with the Ministry of Culture SR under EV 3562/0.

COMPUTER SCIENCE AUTOMATION AND TELECOMMUNICATIONS

Soňa DUCHOVIČOVÁ, Barbora ZAHRADNÍKOVÁ, Peter SCHREIBER

FACIAL COMPOSITE SYSTEM USING REAL FACIAL FEATURES

9-16

Renáta MASÁROVÁ

FRÉCHET METRIC FOR SPACE OF BINARY CODED SOFTWARE

17-22

Matúš PÉČI, Pavel VAŽAN

CHOOSING THE RIGHT SYSTEMS INTEGRATION

23-30

Pavel VAŽAN, Dominika JUROVATÁ, Lukáš HRČKA, Maroš DANEK

MODELLING THE TRAFFIC SYSTEM

31-38

Oleg PALUMBÍNY, Martin NEŠTICKÝ

ON STABILITY OF CERTAIN CLASS OF 3-RD ORDER NONLINEAR CONTROL SYSTEMS

39-48

Jozef VASKÝ, Matúš GRAMBLIČKA

EXPERIMENTAL EVALUATION OF INTEGRAL TRANSFORMATIONS FOR ENGINEERING DRAWINGS VECTORIZATION

49-56

Zuzana ŠUTOVÁ, Róbert VRÁBEĽ, Bohuslava JUHÁSOVÁ, Martin JUHÁS

CONTROL OF OSCILLATIONS IN SECOND-ORDER DIFFERENTIAL EQUATION

57-62

German MICHAĽČONOK, Michaela HORALOVÁ KALINOVÁ, Martin NÉMETH

PROPOSAL OF THE METHODOLOGY FOR ANALYSING THE STRUCTURAL RELATIONSHIP IN THE SYSTEM OF RANDOM PROCESS USING THE DATA MINING METHODS

63-68

Maximilián STRÉMY, Andrea PETERKOVÁ

COMPARISON OF MACHINE LEARNING METHODS FOR THE PURPOSE OF HUMAN FALL DETECTION

69-76