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Упит dcterms_creator_txt:Mladen R. Nedimović

780 items

  • Arsenic in tape waters of the south Pannonian basin (Serbia) and arsenic risk assessment

    Petar Papić, Marina Ćuk, Maja Todorović, Jana Stojković, Bojan Hajdin, Nebojša Atanacković, Dušan Polomčić (2012)
    ... *e-mail: ppapic@rgf.bg.ac.rs A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • (10 μg/L). About 500 ...
    ... location of the test area. A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • Experimental Procedures ...
    ... Tap Water of Serbia’s... 1785 A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • some cases. Below this ...

  • Nonequilibrium athermal random-field Ising model on hexagonal lattices

    Svetislav Mijatović, Dragutin Jovković, Đorđe Spasojević (2021)
    Изингов модел, хексагонална решетка

  • A tool for identifying the criticality in the disordered systems with metastable dynamics

    Svetislav Mijatović, Dragutin Jovković, Sanja Janićević, Stefan Graovac, Đorđe Spasojević (2021)
    Физика кондензоване материје

  • Investigation of Co0.9Ho0.1MoO4 Nanopowders Obtained by Glycine Nitrate Procedure

    Milena Rosić, Maja Milošević, Maria Čebela, Vladimir Dodevski, Vesna Lojpur, Radomir Ljupković, Aleksandra Zarubica (2023)
    ... University in Skopje, R. N. Macedonia Members: Assoc. Prof. Dr. Vojo Jovanov, Faculty of Technology and Metallurgy, Ss. Cyril and Methodius University in Skopje, R. N. Macedonia Iva Dimitrievska, MSc, Faculty of Technology and Metallurgy, Ss. Cyril and Methodius University in Skopje, R. N. Macedonia ...
    ... and Metallurgy, Ss. Cyril and Methodius University in Skopje, R. N. Macedonia Members: Prof. Dr. Trajče Stafilov, Institute of Chemistry, Faculty of Natural Sciences and Mathematics, Ss. Cyril and Methodius University in Skopje, R. N. Macedonia Prof. Dr. Viktor Stefov, Institute of Chemistry ...
    ... Faculty of Natural Sciences and Mathematics, Ss. Cyril and Methodius University in Skopje, R. N. Macedonia Prof. Dr. Blazo Boev, Faculty of Natural and Technical Sciences, Goce Delčev University, Štip, R. N. Macedonia Prof. Dr. Panče Naumov, Division of Science and Mathematics, New York University ...

  • Hydrogeothermal potentials of Rogozna mountain and possibility of their valorization

    D. R. Ivanović, Dj. A Valjarević, R. D. Srećković-Batoćanin, N. M. Martić-Bursać, D. Ž. Vukoičić, R. M. Ivanović (2020)
    Geotermalna energija, hidrogeotermalni potencijal, stepen iskorišćenja, banja, Rogozna, Srbija

  • Critical disorder and critical magnetic field of the nonequilibrium athermal random-field Ising model in thin systems

    Svetislav Mijatović, Dragutin Jovković, Sanja Janićević, Đorđe Spasojević (2019)
    Изингов модел, критично понашање, танки системи

  • Threshold-induced correlations in the Random Field Ising Model

    Sanja Janićević, Dragutin Jovković, Lasse Laurson, Đorđe Spasojević (2018)
    Multidisciplinary
    ... T T T T T r 1 1 10? 10! 10° 10! 107 10! _— 10! Wp -)) 4s V0 Ty VC" Cc <7 L522, R=2.375, Vi, 25 d Ss L522, R=2.375, Viyy=25 > 1074 © = 1-1024, R=2.30, Vi,=50 = © = 1-1024, R=2.30, V,,—50 a A 12046, R=2.25, Vj,=102 a A 12046, R=2.25, Vy.=102 om ¥ L=4087, R=2.22, Vy,=208 = 1074 V L-4087, R=2.22, Vy,=208 ...
    ... various disorders R (see legend), collapse onto a same curve when presented against V;,r, where the reduced disorder r=(R— R,)/R measures a distance to the critical disorder R, of the model. Inset shows how vy} (i.e. the exponent 7 taken for V,, = 0) depends on the reduced disorder r. When a threshold ...
    ... com/scientificreports/ ais yp m 1-522, R=2.375, V,=25 | ph <=) voy m £822, R=2.375, Vy, =25 > "Wy © 1=1024, R=2.30, Vy,=50 a vy ine © £=1024, R=2.30, Vy.=50 a vn 4 1=2046, R=2.25, V,,=102 i904 vy 4 1=2046, R=2.25, V,,=102 = 10°4 L=4087, R=2.22, V.=208 = L=4087, R=2.22, V.=208 ~ ~ a # 1024 S 1074 & _ & ...

  • A Fuzzy Expert Model for Availability Evaluation

    Dejan Ivezić, Miloš Tanasijević, Predrag Jovančić, Radiša Đurić (2019)
    Each technical system within itself carries the great potential danger of possible occurrence of failure and damages. Mining machines are characteristic by great investment values, costs of unplanned shutdowns, complex working conditions, and environment and workers hazards. Systematic monitoring of the mining machinery is of great importance for the management of the mining companies. Availability is the overall concept of quality of service. Includes information regard to operating state, an idle state, a standby state and shut down. The ...
    raspoloživost, ekspertski sistem, fazi teorija, buldozeri
    ... in d ic a to r Questionnaire: Bulldozer Liebherr – Drmno Open Pit Mine Grade: Excellent Good Average Adequate Poor The degree of affiliation, % 1 R 40 60 M 100 S 100 2 R 20 80 M 100 S 50 50 3 R 100 M 100 S 100 4 R 80 20 M 80 20 ...
    ... terms and Caterpillar as "good" in terms of R and S and "excellent" in term of M. This can be written in the form: R(A1-Lib.) = 0.4/good,0.6/avr; M(A1-Lib.) = 1/avr; S(A1- Lib.) = 1/adeq; R(A1-Drs.) = 1/avr; M(A1-Drs.) = 1/avr; S(A1-Drs.) = 1/avr; R(A1-Cat.) = 1/good; M(A1-Cat.) = 1/exel; S(A1-Cat ...
    ... basin are: R(A2-Lib.) = 0,2/good,0.8/avr; M(A2-Lib.) = 1/good; S(A2- Lib.) = 0,5/aver, 0.5/adeq; R(A2-Drs.) = 0,2/good,0.8/avr; M(A2-Drs.) = 1/good; S(A2- Drs.) = 0,5/aver, 0.5/adeq; R(A2-Cat.) = 0.8/exc,0.2/good; M(A2-Cat.) = 0.6/good,0.4/avr; S(A2-Cat.) = 0.5/good,0.5/avr; R(A3-Lib.) = 1/good; ...

  • Properties of fly ash and slag from the power plants

    Miloš Šešlija, Aleksandra Rosić, Nebojša Radović, Milinko Vasić, Mitar Đogo, Milovan Jotić (2016)
    This paper describes the physical, chemical and mineral properties of ash and slag, which were taken from thermal power plants Nikola Tesla A, Nikola Tesla B, Kostolac A and Kostolac B. The knowledge of the mineralogical material composition is important because the type of minerals directly determines the properties of the fly ash and slag and their possible application. Laboratory tests showed that ash and slag samples consist of the following minerals: amorphous materials, quartz, feldspar, mullite, melilite, cristobalite, ...
    fly ash, slag, physical composition, chemical composition, mineral composition, X-ray diffraction method
    ... 28) R(0.37) CaO(0.84) SO3(0.92) SiO2(0.89) Al2O3(0.93) R(0.82) Na2O CaO(0.47) He(0.34) pH(0.43) f(0.49) CaO(0.82) He(0.38) pH(0.99) f(0.45) K2O Q(0.69) SiO2(0.68) CaO(0.49) He(0.90) R(0.77) w(0.16) <2.9(0.47) AM(0.57) Q(0.48) SiO2(0.82) CaO(0.84) He(0.53) R(0.99) w(0.99) <2.9(0.68) AM(0.98) R He(0 ...
    ... 24) Kr(0.70) He(0.41) Ml(0.58) R(0.40) Na2O(0.99) Fe2O3(0.99) Kr(0.99) He(0.25) Ml(0.25) R(0.97) w CaO(0.65) K2O(0.33) Al2O3(0.80) SiO2(0.44) He(0.08) R(0.74) CaO(0.97) K2O(0.78) Al2O3(0.36) SiO2(0.65) He(0.34) R(0.96) <2.9 w(0.39) CaO(0.55) K2O(0.63) Al2O3(0.43) M(0.75) R(0.58) w(0.63) CaO(0.47) K2O(0 ...
    ... the chemical composition the module R is deter- mined, and is shown in Fig. 5. The R module is used for deter- mination of ash and slag classification according to the chem- ical composition. The formula for determining the R module is: 2 3 2 3 ( ) ( ) SiO AlO R CaO MgO Fe O + = + + (1) According ...

  • Contribution to the geotechnical classification of municipal waste landfills in Serbia

    Dragoslav Rakić, Irena Basarić, Laslo Čaki, Slobodan Ćorić (2018)
    Management, Monitoring, Policy and Law, Nature and Landscape Conservation, Geochemistry and Petrology, Waste Management and Disposal,Geotechnical Engineering and Engineering Geology,Water Science and Technology,Environmental Chemistry,Environmental Engineering

  • Korelacija magnetnog susceptibiliteta i sadržaja metala u flotacijskom jalovištu

    Filip Abramović, Vesna Cvetkov, Aco Ilić, Dragana Životić (2022)
    Procena metala u rudama, jalovištu i zemljištu se tradicionalno određuje hemijskim metodama kao što su Rengen fluorescentna analiza (XRF), Instrumentalna neutronska aktivaciona analiza (INAA) i Masena spektrometrija induktivno spregnute plazme (ICP-MS). Neke od pomenutih metoda su veoma zahtevne i skupe, te se nametnula potreba ka traženju jeftinijeg alata za brzu procenu prisustva pojedinih metala. Tokom poslednjih nekoliko decenija, mnoge studije su pokazale da su magnetna merenja dovoljno osetljiva da detektuju magnetni signal feromagnetnih materijala, a samim tim i metala ...
    flotacijsko jalovište, makroelementi, magnetna merenja

  • Debris-flow Susceptibility Assessment in Flow-R: Ribnica River Case Study

    Ksenija Micić, Miloš Marjanović, Biljana Abolmasov (2024)
    Debris flows are among the most dangerous erosional geohazards due to the fast rate of movement and long runout zones. Even though the initiation can be triggered in mountainous areas, inhabited and with steep slopes, their propagation and deposition can endanger not only buildings and infrastructure in the urbanized areas, but also threaten human lives. As these initiation areas usually represent unattainable terrains with rapid vegetation cover development, field observations and aerial photo analysis become high-demanding tasks. Consequently, medium-to-regional ...
    tečenje drobine, Flow-R, procena podložnosti, empirijski model

  • Preliminary regional landslide susceptibility assessment using limited data

    Igor Peshevski, Milorad Jovanovski, Biljana Abolmasov, Jovan Papic, Uroš Đurić, Miloš Marjanović, Ubydul Haque, Natasha Nedelkovska (2019)
    In this paper a heuristic approach for preliminary regional landslide susceptibility assessment using limited amount of data is presented. It is called arbitrary polynomial method and takes into account 5 landslide conditioning parameters: lithology, slope inclination, average annual rainfall, land use and maximum expected seismic intensity. According to the method, in the first stage, a gradation is performed for each of the carefully selected conditioning parameters by assigning so called rating points to the grid cells on which the ...
    klizišta, podložnost
    ... 0 = LT-R*0.3 + SI-R*0.175 + AP-R*0.175 + EI-R*0.175 + LU-R*0.175 (2) WLT-TLSR500 = LT-R*0.3 + SI-R*0.175 + AP-R*0.175 + EI-R*0.175 + LU-R*0.175 (3) WSI-TLSR100 = LT-R*0.175 + SI-R*0.3 + AP-R*0.175 + EI-R*0.175 + LU-R*0.175 (4) WSI-TLSR500 = LT-R*0.175 + SI-R*0.3 + AP-R*0.175 + EI-R*0.175 + ...
    ... + LU-R*0.175 (5) WAP-TLSR100 = LT-R*0.175 + SI-R*0.175 + AP-R*0.3 + EI-R*0.175 + LU-R*0.175 (6) WAP-TLSR500 = LT-R*0.175 + SI-R*0.175 + AP-R*0.3 + EI-R*0.175 + LU-R*0.175 (7) WLU-TLSR100 = LT-R*0.175 + SI-R*0.175 + AP-R*0.175 + EI-R*0.175 + LU-R*0.3 (8) WLU-TLSR500 = LT-R*0.175 + SI-R*0.175 ...
    ... TLSR100-500 = LT-R + SI-R + AP-R + EI-R + LU-R (1) Where: TLSR – total landslide susceptibility rating (for return period of maximum expected seismic (earthquake) intensity for 100 and/or 500 years) LT-R – value of rating for lithological type SI-R – value of rating for slope inclination AP-R – value of ...

  • Effects of external noise on threshold-induced correlations in ferromagnetic systems

    Dragutin Jovković, Sanja Janićević, Svetislav Mijatović, Lasse Laurson, Đorđe Spasojević (2021)
    Изингов модел, праг детекције, екстерни шум

  • Reprint of Petrological and organic geochemical properties of lignite from the Kolubara and Kostolac basins, Serbia: implication on grindability index

    Životić Dragana, Bechtel A., Sachsenhofer R., Gratzer R., Radić D., Obradović M., Stojanović Ksenija (2015)

  • The effect of finite driving rate on avalanche distributions

    Sonja Radić, Sanja Janićević, Dragutin Jovković, Đorđe Spasojević (2021)
    Statistics, Probability and Uncertainty,Statistics and Probability,Statistical and Nonlinear Physics

  • Improving Document Retrieval in Large Domain Specific Textual Databases Using Lexical Resources

    Ranka Stanković, Cvetana Krstev, Ivan Obradović, Olivera Kitanović (2017)
    Large collections of textual documents represent an example of big data that requires the solution of three basic problems: the representation of documents, the representation of information needs and the matching of the two representations. This paper outlines the introduction of document indexing as a possible solution to document representation. Documents within a large textual database developed for geological projects in the Republic of Serbia for many years were indexed using methods developed within digital humanities: bag-of-words and named ...
    ... International Publishing AG 2017 N.T. Nguyen et al. (Eds.): TCCI XXVI, LNCS 10190, pp. 1–24, 2017. DOI: 10.1007/978-3-319-59268-8 8 A u t h o r P r o o f 2 R. Stanković et al. In general, if the response to a user query related to a collection of documents is performed by keyword search of these ...
    ... engineering geology, as a modern and efficient information basis for planning, design and decision- making in the geological domain. A u t h o r P r o o f 4 R. Stanković et al. Within the GeolISS project a web portal1 was developed with the aim to pro- vide quicker and easier access to geological ...
    ... in Fig. 1. The panel shows that the system found 4 results, and appropriate document snippets are displayed. For each document A u t h o r P r o o f 6 R. Stanković et al. there is also a link enabling the user to look into further details on the retrieved document. The user can chose the maximum ...

  • Хазард од клизишта у Србији у 21. веку

    Biljana Abolmasov (2019)
    клизишта, хазард од клизишта, промене климе
    ... ����› �� ›������ ������ ������ �� �� ›�� ��  ������� �������: R = H x V(E R ) (1) ���  �: R � �›���� ����›, H � ������, V � �������� � � � R � �������� � ���- ������ � ����›�. ������ �� ›������� (Landslide Hazard) ���� ����� ��›������ �������- ���� ...
    ... DISASTERS Accepted at the 4 � meeting of the Department of Mathematics, Physics and Geosciences on 24 May 2019 E d i t o r VLADICA CVETKOVI� Corresponding Member of SASA B E L G R A D E 2 0 1 9 ������ ����� ��� ����� � � ������� ������ ��������� ����� 5 ��������� � ������ � 21. ���� � ����� ...
    ... ������� ����›� ����  � ����������� ��  ��›� � �������� � ����›� �  ����� ›� ���� �����  ��������� ����› (R � ). 21. > 69 > 7 v v [8], [9], [10], [11], [12], [13], > _ > > 1 > [8] > > > ») (1)R = H > >», A , Vv. - > > (Landslifie Hazard > - > > >, > i P(A x PINx S H (2) > > >. 1 A, N e > Ss >» > (Landslide ...

  • On the distribution modulo 1 of the sum of powers of a Salem number

    Dragan Stankov (2016)
    It is well known that the sequence of powers of a Salem number θ, modulo 1, is dense in the unit interval, but is not uniformly distributed. Generalizing a result of Dupain, we determine, explicitly, the repartition function of the sequence , where P is a polynomial with integer coefficients and θ is quartic. Also, we consider some examples to illustrate the method of determination.
    Algebraic integer, the house of algebraic integer, maximal modulus, reciprocal polynomial, primitive polynomial, Schinzel-Zassenhaus conjecture, Mahler measure, method of least squares, cyclotomic polynomials

  • Допринос одређивању безопасног растојања при извођењу минирања

    Slobodan Trajković, Sanja Bajić, Ivan Krsmanović (2023)
    минирање, експлозија, потреси од минирања
    ... rzacuH [2,3]: v=-K,R .1 ede cy: – Op3uHa ocnuJIoOBabba uecTHIIa TJIA V MHHMHpabeM no0yleHe cpejiHe, cm/s – KOCOD. H ČKCHOHCHT KOJH 3A4BHCC OJL IŽ“ yCHOBa MHHHpaMba H KapaKkTepHcTHKa pajiHe cpejuHe, - pejNlyKOBaHO pacToOjaĐe, KOje CC R MOXE H3pa3HTH OJIHOCOM R=r/{Qa p pacrojape OJ MeCTa ...
    ... O0e30ebDeHa je y3 ycJloB: r>15,797 3/Qa, „(m) (3.6.) rnmeje: r—-— (OesonacHo pacrojabe,(m) 178 Quk — yKyHHO yHnoTpcOJbeHa KOJIHUHHA eKcIIo3HBa, (kg). rpH MeMy TpeOa BOJIHTH pauyHa, Ipe CBaKOTr | MMHHHpaPa, a pe)nyKoBaHo pacrojaec (R) Oyne Behc HHH jemHako R > 15,797 rama he oueKHBaHa Op3HHa ...
    ... MOTy OJIpa3HTH Ha OKOJIHe O0jekTe. r= 15.797 Q B e z b e d n o ra st oj an je , r (m ) O 250 500 750 1000 1250 1500 1750 2000 2250 2500 2750 3000 3250 3500 3750 4000 4250 4500 Kolicina eksploziva, Q (kg) Cimka 3.2. KpaBa Oe3onacHor pacrTojahba (r) y 33BHCHOCTH OJI KOJIHUHHC CKCIIJIO3HBa ...