TY  - JOUR
AU  - Peles, A.
AU  - Aleksić, O.
AU  - Pavlović, Vera P.
AU  - Djoković, Vladimir
AU  - Dojčilović, Radovan
AU  - Nikolić, Z.
AU  - Marinković, F.
AU  - Mitrić, M.
AU  - Blagojević, Vladimir A.
AU  - Vlahović, Branislav
AU  - Pavlović, Vladimir
PY  - 2018
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/4658
AB  - The influence of the mechanical activation of ZnO nanoparticle fillers on the structural and electrical properties of the matrix of poly(vinylidenefluoride)-ZnO (PVDF-ZnO) films was investigated. Transmission electron microscopy and scanning electron microscopy analyses showed that mechanical activation in a high energy planetary ball mill reduces the size of ZnO particles. X-ray diffraction and Raman spectroscopy revealed that PVDF crystallized predominantly as the gamma-phase. Non-activated ZnO filler reduces the degree of the crystallinity of the matrix and promotes crystallization of alpha-phase of PVDF in the film, while the fillers activated for 5 and 10 min induce crystallization of beta-phase, indicating that mechanical activation of the filler can be used as a general method for fabrication of PVDF composites with increased content of piezoelectric beta-phase crystals. Dielectric spectroscopy measurements show that polymer composite with the high content of beta-phase (with ZnO filler activated for 5 min) exhibits the highest value of dielectric permittivity in 150-400 K range of temperatures. Kinetic analysis shows combined effects of increased surface area and increased concentration of surface defects on the interactions between polymer chains and activated nanoparticles.
PB  - IOP Publishing Ltd, Bristol
T2  - Physica Scripta
T1  - Structural and electrical properties of ferroelectric poly(vinylidene fluoride) and mechanically activated ZnO nanoparticle composite films
IS  - 10
VL  - 93
DO  - 10.1088/1402-4896/aad749
ER  - 

@article{
author = "Peles, A. and Aleksić, O. and Pavlović, Vera P. and Djoković, Vladimir and Dojčilović, Radovan and Nikolić, Z. and Marinković, F. and Mitrić, M. and Blagojević, Vladimir A. and Vlahović, Branislav and Pavlović, Vladimir",
year = "2018",
abstract = "The influence of the mechanical activation of ZnO nanoparticle fillers on the structural and electrical properties of the matrix of poly(vinylidenefluoride)-ZnO (PVDF-ZnO) films was investigated. Transmission electron microscopy and scanning electron microscopy analyses showed that mechanical activation in a high energy planetary ball mill reduces the size of ZnO particles. X-ray diffraction and Raman spectroscopy revealed that PVDF crystallized predominantly as the gamma-phase. Non-activated ZnO filler reduces the degree of the crystallinity of the matrix and promotes crystallization of alpha-phase of PVDF in the film, while the fillers activated for 5 and 10 min induce crystallization of beta-phase, indicating that mechanical activation of the filler can be used as a general method for fabrication of PVDF composites with increased content of piezoelectric beta-phase crystals. Dielectric spectroscopy measurements show that polymer composite with the high content of beta-phase (with ZnO filler activated for 5 min) exhibits the highest value of dielectric permittivity in 150-400 K range of temperatures. Kinetic analysis shows combined effects of increased surface area and increased concentration of surface defects on the interactions between polymer chains and activated nanoparticles.",
publisher = "IOP Publishing Ltd, Bristol",
journal = "Physica Scripta",
title = "Structural and electrical properties of ferroelectric poly(vinylidene fluoride) and mechanically activated ZnO nanoparticle composite films",
number = "10",
volume = "93",
doi = "10.1088/1402-4896/aad749"
}

Peles, A., Aleksić, O., Pavlović, V. P., Djoković, V., Dojčilović, R., Nikolić, Z., Marinković, F., Mitrić, M., Blagojević, V. A., Vlahović, B.,& Pavlović, V.. (2018). Structural and electrical properties of ferroelectric poly(vinylidene fluoride) and mechanically activated ZnO nanoparticle composite films. in Physica Scripta
IOP Publishing Ltd, Bristol., 93(10).
https://doi.org/10.1088/1402-4896/aad749

Peles A, Aleksić O, Pavlović VP, Djoković V, Dojčilović R, Nikolić Z, Marinković F, Mitrić M, Blagojević VA, Vlahović B, Pavlović V. Structural and electrical properties of ferroelectric poly(vinylidene fluoride) and mechanically activated ZnO nanoparticle composite films. in Physica Scripta. 2018;93(10).
doi:10.1088/1402-4896/aad749 .

Peles, A., Aleksić, O., Pavlović, Vera P., Djoković, Vladimir, Dojčilović, Radovan, Nikolić, Z., Marinković, F., Mitrić, M., Blagojević, Vladimir A., Vlahović, Branislav, Pavlović, Vladimir, "Structural and electrical properties of ferroelectric poly(vinylidene fluoride) and mechanically activated ZnO nanoparticle composite films" in Physica Scripta, 93, no. 10 (2018),
https://doi.org/10.1088/1402-4896/aad749 . .

TY  - CONF
AU  - Radojević, Rade
AU  - Petrović, Dragan
AU  - Urošević, Mirko P.
AU  - Nikolić, Zoran M.
AU  - Miodragović, Rajko
PY  - 2012
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/3011
AB  - Computer assisted image analysis offers many important (pseudo) man-independent procedures, which can be used in combination with classical evaluation methods. This paper presents a novel approach in fruit surface quality analysis. It includes a computer program, based on contour recognition and decomposition of digital image objects according to their color scale intensity. This analysis has been performed by digital pattern recognition method (DPR), which is based on automatic color scale and object analysis of isohels contours for isolated and separated objects. As a result of this analysis, a more precise grading of the fruit surface quality can be achieved.
PB  - Agronomski fakultet Sveucilista u Zagrebu, 10000 Zagreb
C3  - Aktualni Zadaci Mehanizacije Poljoprivrede
T1  - A digital method for apple surface quality grading
EP  - 361
SP  - 355
VL  - 40
UR  - https://hdl.handle.net/21.15107/rcub_agrospace_3011
ER  - 

@conference{
author = "Radojević, Rade and Petrović, Dragan and Urošević, Mirko P. and Nikolić, Zoran M. and Miodragović, Rajko",
year = "2012",
abstract = "Computer assisted image analysis offers many important (pseudo) man-independent procedures, which can be used in combination with classical evaluation methods. This paper presents a novel approach in fruit surface quality analysis. It includes a computer program, based on contour recognition and decomposition of digital image objects according to their color scale intensity. This analysis has been performed by digital pattern recognition method (DPR), which is based on automatic color scale and object analysis of isohels contours for isolated and separated objects. As a result of this analysis, a more precise grading of the fruit surface quality can be achieved.",
publisher = "Agronomski fakultet Sveucilista u Zagrebu, 10000 Zagreb",
journal = "Aktualni Zadaci Mehanizacije Poljoprivrede",
title = "A digital method for apple surface quality grading",
pages = "361-355",
volume = "40",
url = "https://hdl.handle.net/21.15107/rcub_agrospace_3011"
}

Radojević, R., Petrović, D., Urošević, M. P., Nikolić, Z. M.,& Miodragović, R.. (2012). A digital method for apple surface quality grading. in Aktualni Zadaci Mehanizacije Poljoprivrede
Agronomski fakultet Sveucilista u Zagrebu, 10000 Zagreb., 40, 355-361.
https://hdl.handle.net/21.15107/rcub_agrospace_3011

Radojević R, Petrović D, Urošević MP, Nikolić ZM, Miodragović R. A digital method for apple surface quality grading. in Aktualni Zadaci Mehanizacije Poljoprivrede. 2012;40:355-361.
https://hdl.handle.net/21.15107/rcub_agrospace_3011 .

Radojević, Rade, Petrović, Dragan, Urošević, Mirko P., Nikolić, Zoran M., Miodragović, Rajko, "A digital method for apple surface quality grading" in Aktualni Zadaci Mehanizacije Poljoprivrede, 40 (2012):355-361,
https://hdl.handle.net/21.15107/rcub_agrospace_3011 .

TY  - JOUR
AU  - Radojević, Rade
AU  - Petrović, Dragan
AU  - Pavlović, Vladimir
AU  - Nikolić, Zoran M.
AU  - Urošević, Mirko P.
PY  - 2011
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/2408
AB  - To reach fruit market standards, quality evaluation has to be performed. Computer assisted fruit image analysis represents a technique, which offers a variety of automatic and semi-automatic procedures that can be used in combination with classic evaluation methods. To achieve this goal, a digital parameterization method for single apple fruit (Malus domestica) size, shape and surface spottiness has been recently developed. The appropriate mathematical procedures, defining the criteria for the fruit quality parameterization, are also defined and tested. The concept of the method, as well as the initial testing results, is presented in this paper. Basically, the technique combines analysis of apple fruit 256 gray-scale level images and parameterization algorithm of fruit quality. The former is based on digital pattern recognition method (DPR), and the latter employs linear fitting and numerical integration of DPR output data. This way, accurate parameterization of the fruit size, shape and surface spottiness, as well as the reliable fruit sorting according to the product quality, is enabled.
T2  - African Journal of Agricultural Research
T1  - Digital parameterization of apple fruit size, shape and surface spottiness
EP  - 3142
IS  - 13
SP  - 3131
VL  - 6
UR  - https://hdl.handle.net/21.15107/rcub_agrospace_2408
ER  - 

@article{
author = "Radojević, Rade and Petrović, Dragan and Pavlović, Vladimir and Nikolić, Zoran M. and Urošević, Mirko P.",
year = "2011",
abstract = "To reach fruit market standards, quality evaluation has to be performed. Computer assisted fruit image analysis represents a technique, which offers a variety of automatic and semi-automatic procedures that can be used in combination with classic evaluation methods. To achieve this goal, a digital parameterization method for single apple fruit (Malus domestica) size, shape and surface spottiness has been recently developed. The appropriate mathematical procedures, defining the criteria for the fruit quality parameterization, are also defined and tested. The concept of the method, as well as the initial testing results, is presented in this paper. Basically, the technique combines analysis of apple fruit 256 gray-scale level images and parameterization algorithm of fruit quality. The former is based on digital pattern recognition method (DPR), and the latter employs linear fitting and numerical integration of DPR output data. This way, accurate parameterization of the fruit size, shape and surface spottiness, as well as the reliable fruit sorting according to the product quality, is enabled.",
journal = "African Journal of Agricultural Research",
title = "Digital parameterization of apple fruit size, shape and surface spottiness",
pages = "3142-3131",
number = "13",
volume = "6",
url = "https://hdl.handle.net/21.15107/rcub_agrospace_2408"
}

Radojević, R., Petrović, D., Pavlović, V., Nikolić, Z. M.,& Urošević, M. P.. (2011). Digital parameterization of apple fruit size, shape and surface spottiness. in African Journal of Agricultural Research, 6(13), 3131-3142.
https://hdl.handle.net/21.15107/rcub_agrospace_2408

Radojević R, Petrović D, Pavlović V, Nikolić ZM, Urošević MP. Digital parameterization of apple fruit size, shape and surface spottiness. in African Journal of Agricultural Research. 2011;6(13):3131-3142.
https://hdl.handle.net/21.15107/rcub_agrospace_2408 .

Radojević, Rade, Petrović, Dragan, Pavlović, Vladimir, Nikolić, Zoran M., Urošević, Mirko P., "Digital parameterization of apple fruit size, shape and surface spottiness" in African Journal of Agricultural Research, 6, no. 13 (2011):3131-3142,
https://hdl.handle.net/21.15107/rcub_agrospace_2408 .

TY  - JOUR
AU  - Pavlović, Vera P.
AU  - Petrović, Dragan
AU  - Nikolić, Zoran
AU  - Pavlović, Vladimir
PY  - 2006
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/1230
AB  - In this article the new approach to automatic microstructure analysis of the sintered materials has been presented. The method is based on contour recognition and decomposition of digital image, according to their gray scale intensity and the use of log-hyperbolic grain size distribution and it has been successfully applied on microstructure analysis of BaTiO3 sintered under non isothermal conditions.
AB  - U ovom radu je prezentovana nova metoda za automatsku mikrostrukturnu analizu materijala. Metoda je bazirana na prepoznavanju kontura i dekompoziciji digitalne slike na osnovu fotometrijskih zakona, kao i na primeni log hiperbolične distribucije. Ova metoda je uspešno primenjena za mikrostrukturnu analizu neizotermski sinterovanog barijum-titanata.
PB  - Univerzitet u Beogradu - Mašinski fakultet, Beograd
T2  - FME Transactions
T1  - Automatic microstructure analysis of sintered materials
T1  - Automatska mikrostrukturna analiza sinterovanih materijala
EP  - 163
IS  - 3
SP  - 159
VL  - 34
UR  - https://hdl.handle.net/21.15107/rcub_agrospace_1230
ER  - 

@article{
author = "Pavlović, Vera P. and Petrović, Dragan and Nikolić, Zoran and Pavlović, Vladimir",
year = "2006",
abstract = "In this article the new approach to automatic microstructure analysis of the sintered materials has been presented. The method is based on contour recognition and decomposition of digital image, according to their gray scale intensity and the use of log-hyperbolic grain size distribution and it has been successfully applied on microstructure analysis of BaTiO3 sintered under non isothermal conditions., U ovom radu je prezentovana nova metoda za automatsku mikrostrukturnu analizu materijala. Metoda je bazirana na prepoznavanju kontura i dekompoziciji digitalne slike na osnovu fotometrijskih zakona, kao i na primeni log hiperbolične distribucije. Ova metoda je uspešno primenjena za mikrostrukturnu analizu neizotermski sinterovanog barijum-titanata.",
publisher = "Univerzitet u Beogradu - Mašinski fakultet, Beograd",
journal = "FME Transactions",
title = "Automatic microstructure analysis of sintered materials, Automatska mikrostrukturna analiza sinterovanih materijala",
pages = "163-159",
number = "3",
volume = "34",
url = "https://hdl.handle.net/21.15107/rcub_agrospace_1230"
}

Pavlović, V. P., Petrović, D., Nikolić, Z.,& Pavlović, V.. (2006). Automatic microstructure analysis of sintered materials. in FME Transactions
Univerzitet u Beogradu - Mašinski fakultet, Beograd., 34(3), 159-163.
https://hdl.handle.net/21.15107/rcub_agrospace_1230

Pavlović VP, Petrović D, Nikolić Z, Pavlović V. Automatic microstructure analysis of sintered materials. in FME Transactions. 2006;34(3):159-163.
https://hdl.handle.net/21.15107/rcub_agrospace_1230 .

Pavlović, Vera P., Petrović, Dragan, Nikolić, Zoran, Pavlović, Vladimir, "Automatic microstructure analysis of sintered materials" in FME Transactions, 34, no. 3 (2006):159-163,
https://hdl.handle.net/21.15107/rcub_agrospace_1230 .

TY  - CONF
AU  - Nikolić, Zoran M.
AU  - Pavlović, Vladimir
PY  - 2004
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/848
AB  - It is well known that, due to their specific properties, ZnO - based materials are frequently used in electrotechnics and electronics. Since these properties are very Much dependent on the microstructural state of material (grain size, pore size, grain and pore distribution), in this article systematic investigation of evolution of microstructural constituents occurred during sintering of ZnO has been performed by new digital pattern recognition method (DPR). Microstructure investigations of the influence of the sintering regime on microstuctural development of ZnO ceramics were carried out, using the scanning electron microscope (SEM) digital pictures, their contour recognition and decomposition of digital image objects according to their gray scale intensity (automatic microstructural analysis). The obtained results enable to establish the sintering parameters, which are indispensable for processing of materials with advanced required properties.
PB  - Trans Tech Publications Ltd, Durnten-Zurich
C3  - Progress in Advanced Materials and Processes
T1  - DPR analysis of microstructural evolution of ZnO ceramics
EP  - 457
SP  - 453
VL  - 453-454
DO  - 10.4028/www.scientific.net/MSF.453-454.453
ER  - 

@conference{
author = "Nikolić, Zoran M. and Pavlović, Vladimir",
year = "2004",
abstract = "It is well known that, due to their specific properties, ZnO - based materials are frequently used in electrotechnics and electronics. Since these properties are very Much dependent on the microstructural state of material (grain size, pore size, grain and pore distribution), in this article systematic investigation of evolution of microstructural constituents occurred during sintering of ZnO has been performed by new digital pattern recognition method (DPR). Microstructure investigations of the influence of the sintering regime on microstuctural development of ZnO ceramics were carried out, using the scanning electron microscope (SEM) digital pictures, their contour recognition and decomposition of digital image objects according to their gray scale intensity (automatic microstructural analysis). The obtained results enable to establish the sintering parameters, which are indispensable for processing of materials with advanced required properties.",
publisher = "Trans Tech Publications Ltd, Durnten-Zurich",
journal = "Progress in Advanced Materials and Processes",
title = "DPR analysis of microstructural evolution of ZnO ceramics",
pages = "457-453",
volume = "453-454",
doi = "10.4028/www.scientific.net/MSF.453-454.453"
}

Nikolić, Z. M.,& Pavlović, V.. (2004). DPR analysis of microstructural evolution of ZnO ceramics. in Progress in Advanced Materials and Processes
Trans Tech Publications Ltd, Durnten-Zurich., 453-454, 453-457.
https://doi.org/10.4028/www.scientific.net/MSF.453-454.453

Nikolić ZM, Pavlović V. DPR analysis of microstructural evolution of ZnO ceramics. in Progress in Advanced Materials and Processes. 2004;453-454:453-457.
doi:10.4028/www.scientific.net/MSF.453-454.453 .

Nikolić, Zoran M., Pavlović, Vladimir, "DPR analysis of microstructural evolution of ZnO ceramics" in Progress in Advanced Materials and Processes, 453-454 (2004):453-457,
https://doi.org/10.4028/www.scientific.net/MSF.453-454.453 . .