Modeling Principles, Theory and Methods

Jelenka Savkovic-Stevanovic

doi:doi:10.11648/j.sr.20150303.15

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Modeling Principles, Theory and Methods

Jelenka Savkovic-Stevanovic

Published in Science Research (Volume 3, Issue 3)

Received: 30 March 2015 Accepted: 17 April 2015 Published: 11 May 2015

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Abstract

In this paper modeling theory and methods were developed. Modeling method linking previous knowledge, known facts, scientific laws and hypothesis so that from them can conclude knew knowledge about given domain Integration modeling method was derived. Models in various levels were investigated including variables input and output parameters, and contour conditions. Fundamentals of the microscopic to the macroscopic models were studied. The molecular modeling was considered. The process operation models were derived.

Published in	Science Research (Volume 3, Issue 3)
DOI	10.11648/j.sr.20150303.15
Page(s)	72-78
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Method, Integration Modeling, Theory, Elementary Transition, Levels, Integration

References

[1]	T. Mosorinac, J. Savkovic-Stevanovic A multistage, multiphase and multicomponent process system modeling, Inter. J. of Mathematical Models and Methods in Applied Science, Issue 1, vol.5, 2011,pp.115-125.
[2]	J. Savkovic-Stevanovic, Process modeling and simulation, Faculty of Technology and Metallurgy, Belgrade University, Belgrade, Yugoslavia,1995.
[3]	T. Mosorinac, Chemical product characterization, MCBC2012- Mathematics and Computers in Biology and Chemistry, Iashi, Romania, 13-15 June, 2013.
[4]	J.Djurovic, An inverse control of extraction column, Inter. J. of Mathematical Models and Methods in Applied Science, Issue 1, vol.5, 2011,pp.67-76.
[5]	J. Savkovic-Stevanovic, T. Mosorinac, S. Krstic, R. Beric, Computer aided operation and design of the surfactants production, Computer Aided Process Engineering -17, Vol.24, Eds. V. Plesu P. S. Agachi, Elsevier Science, 195-200, 2007.
[6]	H.M.Blalock,,Jr.., Causal Inferences in Non Experimental Research, The Norton Library, New York,1964.
[7]	J.Savkovic-Stevanovic, A system for discovering developing, Comput. Ecol. Eng., vol.5, No.1, 2009,7-13.
[8]	J. Savkovic-Stevanovic, Mathematical modeling innovation, 15th WSEAS International Conference on Mathematical and Computational Methods in Science and Engineering (MACMESE '13) Kuala Lumpur, Malaysia, April 2-4, 2013.
[9]	J. Savkovic-Stevanovic, M. Ivanovic, R. Beric, V. Manjencic, Dynamic of the laurconium-chloride production, The 4th European Congress of Chemical Engineering, Granada, Spain 21-25 Sept.,2003.
[10]	J. Savkovic-Stevanovic, M. Misic-Vukovic, G. Boncic-Caricic, B. Trisovic, S. Jezdic, Reaction distillation with ions exchangers, Sep. Sci. Techn. 27, (1992)613-630.
[11]	J. Savkovic-Stevanovic, M. Ivanovic, R. Beric, V. Manjencic, A surfactant formation investigation, Comput. Ecol.Eng.vol.1 (2005)129-135.
[12]	T. Mosorinac, J. Savkovic-Stevanovic, M. Ivanovic-Knezevic, S. Pejanovic, M. Perunicic. N. Boskovic-Vragolovic, Modelling of the substance transfer in the gas –liquid system with chemical reaction, Petroleum & Coal, vol.54 (3) 278-286, 2012, ISSN 1337-7027.
[13]	J. Savkovic-Stevanovic, Fuzzy logic control system modelling, International Journal of Mathematical Models and Methods in Applied Sciences,vol.3,327-334,2009, ISSN 1991-8763.
[14]	J. Savkovic-Stevanovic and J. Djurovic, Process systems modeling and simulation, Process systems in Chemical Engineering, Organizer: M. Milivojević, The 2014 Chemical Engineering and Materials, Venece, Italy, March 15-17,2014.
[15]	J. Savkovic-Stevanovic, R. Berić, L. Filipović-Petrović, S. Veličković, Knowledge based reaction operation, Comput. Ecol.Eng.,7(1) 23-28, 2011, ISSN 1452-0729.
[16]	J. Savkovic-Stevanovic, T. N. Mosorinac, S. B. Krstic, R. D. Beric, L. E. Flipovic-Petrovic and M. D. Milivojevic, Process plant model for design and optimization, Comput. Ecol. Eng. vol.6(1)(2010)1-9, ISSN 1452-0729.
[17]	J. Savkovic-Stevanovic, S. Krstic, М. Мilivojevic, M. Perunicic, Process plant knowledge based simulation and design, Chapter in Computer Aided Process Engineering -18,Vol.25,Eds. B. Braunschweig, and X. Joula, Elsevier Science, p.289-294, 2008.

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Jelenka Savkovic-Stevanovic. (2015). Modeling Principles, Theory and Methods. Science Research, 3(3), 72-78. https://doi.org/10.11648/j.sr.20150303.15

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ACS Style

Jelenka Savkovic-Stevanovic. Modeling Principles, Theory and Methods. Sci. Res. 2015, 3(3), 72-78. doi: 10.11648/j.sr.20150303.15

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AMA Style

Jelenka Savkovic-Stevanovic. Modeling Principles, Theory and Methods. Sci Res. 2015;3(3):72-78. doi: 10.11648/j.sr.20150303.15

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@article{10.11648/j.sr.20150303.15,
  author = {Jelenka Savkovic-Stevanovic},
  title = {Modeling Principles, Theory and Methods},
  journal = {Science Research},
  volume = {3},
  number = {3},
  pages = {72-78},
  doi = {10.11648/j.sr.20150303.15},
  url = {https://doi.org/10.11648/j.sr.20150303.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sr.20150303.15},
  abstract = {In this paper modeling theory and methods were developed. Modeling method linking previous knowledge, known facts, scientific laws and hypothesis so that from them can conclude knew knowledge about given domain Integration modeling method was derived. Models in various levels were investigated including variables input and output parameters, and contour conditions. Fundamentals of the microscopic to the macroscopic models were studied. The molecular modeling was considered. The process operation models were derived.},
 year = {2015}
}

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TY  - JOUR
T1  - Modeling Principles, Theory and Methods
AU  - Jelenka Savkovic-Stevanovic
Y1  - 2015/05/11
PY  - 2015
N1  - https://doi.org/10.11648/j.sr.20150303.15
DO  - 10.11648/j.sr.20150303.15
T2  - Science Research
JF  - Science Research
JO  - Science Research
SP  - 72
EP  - 78
PB  - Science Publishing Group
SN  - 2329-0927
UR  - https://doi.org/10.11648/j.sr.20150303.15
AB  - In this paper modeling theory and methods were developed. Modeling method linking previous knowledge, known facts, scientific laws and hypothesis so that from them can conclude knew knowledge about given domain Integration modeling method was derived. Models in various levels were investigated including variables input and output parameters, and contour conditions. Fundamentals of the microscopic to the macroscopic models were studied. The molecular modeling was considered. The process operation models were derived.
VL  - 3
IS  - 3
ER  -

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Author Information

Jelenka Savkovic-Stevanovic

Faculty of Technology and Metallurgy Belgrade University, Karnegijeva, Belgrade, Serbia

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APA Style

Jelenka Savkovic-Stevanovic. (2015). Modeling Principles, Theory and Methods. Science Research, 3(3), 72-78. https://doi.org/10.11648/j.sr.20150303.15

Copy | Download

ACS Style

Jelenka Savkovic-Stevanovic. Modeling Principles, Theory and Methods. Sci. Res. 2015, 3(3), 72-78. doi: 10.11648/j.sr.20150303.15

Copy | Download

AMA Style

Jelenka Savkovic-Stevanovic. Modeling Principles, Theory and Methods. Sci Res. 2015;3(3):72-78. doi: 10.11648/j.sr.20150303.15

Copy | Download

@article{10.11648/j.sr.20150303.15,
  author = {Jelenka Savkovic-Stevanovic},
  title = {Modeling Principles, Theory and Methods},
  journal = {Science Research},
  volume = {3},
  number = {3},
  pages = {72-78},
  doi = {10.11648/j.sr.20150303.15},
  url = {https://doi.org/10.11648/j.sr.20150303.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sr.20150303.15},
  abstract = {In this paper modeling theory and methods were developed. Modeling method linking previous knowledge, known facts, scientific laws and hypothesis so that from them can conclude knew knowledge about given domain Integration modeling method was derived. Models in various levels were investigated including variables input and output parameters, and contour conditions. Fundamentals of the microscopic to the macroscopic models were studied. The molecular modeling was considered. The process operation models were derived.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - Modeling Principles, Theory and Methods
AU  - Jelenka Savkovic-Stevanovic
Y1  - 2015/05/11
PY  - 2015
N1  - https://doi.org/10.11648/j.sr.20150303.15
DO  - 10.11648/j.sr.20150303.15
T2  - Science Research
JF  - Science Research
JO  - Science Research
SP  - 72
EP  - 78
PB  - Science Publishing Group
SN  - 2329-0927
UR  - https://doi.org/10.11648/j.sr.20150303.15
AB  - In this paper modeling theory and methods were developed. Modeling method linking previous knowledge, known facts, scientific laws and hypothesis so that from them can conclude knew knowledge about given domain Integration modeling method was derived. Models in various levels were investigated including variables input and output parameters, and contour conditions. Fundamentals of the microscopic to the macroscopic models were studied. The molecular modeling was considered. The process operation models were derived.
VL  - 3
IS  - 3
ER  -

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