References ABB (2011): RobotStudio: of offline robot programming for ABB robots. - http://www.abb.com. Bingul Z., Koseeyaporn P. and Cook G.E. (2002): Windowsbased robot simulation tools. - 7th International Conference on Control, Automation, Robotics and Vision, Singapore. Bruyninckx H. (2001): Open robot control software: the OROCOS project. - IEEE International Conference on Robotics and Automation (ICRA), pp.2523-2528. Corke P.I. (1996): A robotics toolbox for MATLAB. - IEEE Robotics and
Jakub Vašek and Martin Krejsa
, P. and M. KREJSA. Statistical Dependence of Input Variables in DOProC Method. Transactions of the VŠB - Technical University of Ostrava, Civil Engineering Series. Vol. 12, Issue 2, pp. 48-58 (11 p), ISSN (Online) 1804-4824, ISSN (Print) 1213-1962, DOI: 10.2478/v10160-012-0017-3, 2012.  KAHÁNEK, P. Generator of random numbers in Matlab. In: Proceedings of conference Technical computing 2005, Prague. (10 p) [on-line]. Available on: <http://dsp.vscht.cz/konference_matlab/MATLAB05/prispevky/kahanek/kahanek.pdf>, 22.1. 2014. (in Czech
Volodymyr Ivakhno, Volodymyr V. Zamaruiev and Olga Ilina
References  S. Rossado et al, Modeling of power electronics for simulation based analysis of power systems, SCSC '07, San Diego, CA, USA, 2007, pp. 19-26.  R. Araújo, V. Leite, D. Freitas, Modelling and simulation of power electronic systems using a bond graph formalism. In 10th Mediterranean Conference on Control and Automation. Lisboa, Portugal, 2002. [Online] Available: https://bibliotecadigital.ipb.pt/bitstream/10198/2225/1/avtl_MED02.pdf [Accessed: Jan. 20 2013].  V. N. Katsikis, MATLAB
Magdalena Szymczyk and Piotr Szymczyk
References  B. Dushaw, Matlab and CUDA, APL UoW, Seatlle, 2010  S. Gaurav, M. Jos, MATLAB: A Language for Parallel Programming, International Journal of Parallel Programming, Vol. 37, 2009  Imagery Library for Intelligent Detection Systems, http://www.homeoffice.gov.uk/scienceresearch/hosdb/i-lids/  C. Moler, Parallel MATLAB: Multiple Processors and Multiple Cores, http
Ryszard Błażejewski, Sadżide Murat-Błażejewska and Martyna Jędrkowiak
The paper presents a water balance of a flow-through, dammed lake, consisted of the following terms: surface inflow, underground inflow/outflow based on the Dupuit’s equation, precipitation on the lake surface, evaporation from water surface and outflow from the lake at which a damming weir is located. The balance equation was implemented Matlab-Simulink®. Applicability of the model was assessed on the example of the Sławianowskie Lake of surface area 276 ha and mean depth - 6.6 m, Water balances, performed for month time intervals in the hydrological year 2009, showed good agreement for the first three months only. It is concluded that the balancing time interval should be shorter (1 day) to minimize the errors. For calibration purposes, measurements of ground water levels in the vicinity of the lake are also recommended.
Piotr Kuryło, Elena Pivarčiová, Joanna Cyganiuk and Peter Frankovský
IEEE Conference on Automatic Face and Gesture Recognition . IEEE, 567–572.  Ivekovič, Š., Trucco, E., Petillot, Y.R. (2008). Human body pose estimation with particle swarm optimisation. Evolutionary Computation , 16 (4), 509–528.  Zalewski, A., Cegiełka, R. (1999). Matlab - Obliczenia numeryczne i ich zastosowanie . Warsaw, Poland: Scientific and Technical Publishers. (in Polish)  Rosales, R., Siddiqui, M., Alon, J., Sclaroff, S. (2001). Estimating 3D body pose using uncalibrated cameras. In Proceedings in IEEE Conference on Computer
Guntis Orlovskis, Marina Konuhova and Karlis Ketners
Comparison of Induction Motor Transient Processes Characteristics Obtained Experimentally With Those Obtained by Means of FORTRAN and MATLAB Softwear
In this article there is made comparison of induction motor real transient processes data given from mathematical model and experimental way. Theoretical investigation of induction motor was executed under two software - MATLAB and FORTRAN. The MATLAB soft induction motor model is created as a completed set. In FORTRAN there is created calculation algorithm. In both above mentioned soft there are fixed similar conditions. It was experimentally examined 300 W induction motor.
Aleksandrs Matvejevs and Andrejs Matvejevs
Pantograph-Catenary System Modeling Using MATLAB-Simulink Algorithms
Contacts between pantograph and catenary are the most critical parts in the transmission of electrical energy for modern high-speed trains. Contact wire oscillations change combined force between pantograph and catenary, and the contact may even get lost. Therefore special pantographs and catenaries have been developed and further constructive changes are under development. A design criterion includes the permanent contact of pantograph head and contact wire at high speed and the reduction of both aero acoustic noise and wear. Because of complicated dynamic behaviour and very high costs for prototypes, all modifications and new design concepts for the pantograph/catenary system are essentially based on dynamical simulation. Traditional approaches focus on the catenary, which is modelled as set of coupled strings and/or beams, whereas simplified lumped mass models are used to describe the pantograph. Nowadays increased computer power allows considering applications with more refined pantograph modes (e.g. the elasticity of the pantograph) and active control components in innovative pantograph concepts.
In this study, transition from open pit to block caving has been considered as a challenging problem. For this purpose, the linear integer programing code of Matlab was initially developed on the basis of the binary integer model proposed by Bakhtavar et al (2012). Then a program based on graphical user interface (GUI) was set up and named “Op-Ug TD Optimizer”. It is a beneficial tool for simple application of the model in all situations where open pit is considered together with block caving method for mining an ore deposit. Finally, Op-Ug TD Optimizer has been explained step by step through solving the transition from open pit to block caving problem of a case ore deposit.
Ján Slamka, Marián Tolnay, Michal Bachratý, Roland Jančo and Pavol Kováč
References  Slamka, J.: Automatic manipulation of parts made from yielding material. Edícia kvalifikačných prác. SjF STU v Bratislave, 2012. ISBN 978-80 - 227- 3728-9.  Reddy, J. N.: An Introduction to Nonlinear Finite Element Analysis. Oxford University Press, 2004. ISBN 0-07-246685-5.  ANSYS, MATLAB : Theoretical Manual.