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Упит dcterms_creator_txt:Aleksandar R. Golijanin

1161 items

  • A Knowledge-Based Approach to Mine Ventilation Planning in Yugoslav Mining Practice

    Nikola Lilić, Ivan Obradović, Ranka Stanković (2002)
    Ventilation system analysis is a complex process based on the calculation and analysis of numerous parameters. These problems can be successfully solved by the SimVent numerical package, but a full understanding and use of the obtained results require the involvement of an experienced specialist in the ventilation field. The solution was found in the creation of a hybrid system INVENTS, whose knowledge base represents a formalization of the expert knowledge in the mine ventilation field. In this paper, we ...
    ... M in . R es . E n g . 2 0 0 2 .1 1 :3 6 1 -3 8 2 . D o w n lo ad ed f ro m w w w .w o rl d sc ie n ti fi c. co m b y U N IV E R S IT Y O F A L B E R T A o n 0 4 /2 6 /1 5 . F o r p er so n al u se o n ly . 362 N. Lilić, I. Obradović & R. Stanković ...
    ... M in . R es . E n g . 2 0 0 2 .1 1 :3 6 1 -3 8 2 . D o w n lo ad ed f ro m w w w .w o rl d sc ie n ti fi c. co m b y U N IV E R S IT Y O F A L B E R T A o n 0 4 /2 6 /1 5 . F o r p er so n al u se o n ly . 364 N. Lilić, I. Obradović & R. Stanković ...
    ... M in . R es . E n g . 2 0 0 2 .1 1 :3 6 1 -3 8 2 . D o w n lo ad ed f ro m w w w .w o rl d sc ie n ti fi c. co m b y U N IV E R S IT Y O F A L B E R T A o n 0 4 /2 6 /1 5 . F o r p er so n al u se o n ly . 366 N. Lilić, I. Obradović & R. Stanković ...

  • Surface functional groups and degree of carbonization of selected chars from different processes and feedstock

    Marija Ilić, Franz-Hubert Haegel, Aleksandar Lolić, Zoran Nedić, Tomislav Tosti, Ivana Sredović Ignjatović, Andreas Linden, Nicolai D. Jablonowski, Heinrich Hartmann (2022)
    The knowledge ofthe structural and chemical properties of biochars is decisive for their application as technical products. For this reason, methods for the characterization of biochars that are generally applicable and allow quality control are highly desired. Several methods that have shown potential in other studies were used to investigate two activated carbons and seven biochars from different processes and feedstock. The chars were chosen to cover a wide range of chemical composition and structural properties as a hardness ...
    Biougalj, različiti procesi dobijanja, različite sirovine, površinski aktivne grupe, x-ray, FT-IR,XPS
    ... org/10.1016/|.rser.2006.03. 013. Azargohar R, Dalai AK. Biochar as a precursor of activated carbon. Appl Biochem Biotechnol. 2006; 131: 762—773. https://doi.org/10.1007/978-1-59745-268-7_62 PMID: 18563652 Azargohar R, Nanda S, Kozinski JA, Dalai AK, Sutarto R. Effects of temperature on the physicochemi- ...
    ... Surface functional groups and degree of carbonization of selected chars from different processes and feedstock Marija Ilić, Franz-Hubert Haegel, Aleksandar Lolić, Zoran Nedić, Tomislav Tosti, Ivana Sredović Ignjatović, Andreas Linden, Nicolai D. Jablonowski, Heinrich Hartmann Дигитални репозиторијум ...
    ... Surface functional groups and degree of carbonization of selected chars from different processes and feedstock | Marija Ilić, Franz-Hubert Haegel, Aleksandar Lolić, Zoran Nedić, Tomislav Tosti, Ivana Sredović Ignjatović, Andreas Linden, Nicolai D. Jablonowski, Heinrich Hartmann | PLOS ONE | 2022 | | 10 ...

  • Analysis of a simplified model for determining rock mass oscillation velocity at the Kovilovača open pit

    Suzana Lutovac, Miloš Gligorić, Jelena Majstorović, Luka Crnogorac (2023)
    ... ~_n: Ap 5 (4) R Thereby, it can be considered that: Av Av lim „ _, Š =-n _ Which means that is: & =-n 6) R R . . Av AR . NEAR . Equation (5) can be written in the form: — %* — · R whereby integration, it is obtained: v Av AR — ~-n·| —,,respectively: logv=logR" +logC; j v j R p y: 108 ii Š ...
    ... equation where oscillation velocity V is given in the form of: v=K-R"; (D where R is reduced distance, that represents distance from the blasting site to monitoring site r , reduced to the total quantity of the explosive Q i.e., R =%č. Parameters K and m are conditioned by } v characteristics ...
    ... [m], Q - total amount of explosive [kg] . r [] v R - the reduced distance, given in the form R = | A significant property of the equation of rock mass oscillation velocity depending on the reduced distance is as follows: if the reduced distance R from any level is increased (decreased) by 1% ...

  • 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)

  • Overcoming the Low Oral Bioavailability of Deuterated Pyrazoloquinolinone Ligand DK-I-60-3 by Nanonization: A Knowledge-Based Approach

    Jelena R. Mitrović , Branka Divović-Matović, Daniel E. Knutson, Jelena B. Ðoković, Aleksandar Kremenović, Vladimir D. Dobričić, Danijela V. Randjelović, Ivana Pantelić, James M. Cook, Miroslav M. Savić, Snežana D. Savić (2021)
    Poor water solubility of new chemical entities is considered as one of the main obstacles in drug development, as it usually leads to low bioavailability after administration. To overcome these problems, the selection of the appropriate formulation technology needs to be based on the physicochemical properties of the drug and introduced in the early stages of drug research. One example of the new potential drug substance with poor solubility is DK-I-60-3, deuterated pyrazoloquinolinone, designed for the treatment of various neuropsychiatric ...
    pyrazoloquinolinones, nanocrystals, wet media milling, fasted/fed bioavailability
    ... ity of Deuterated Pyrazoloquinolinone Ligand DK-I-60-3 by Nanonization: A Knowledge-Based Approach Jelena R. Mitrović , Branka Divović-Matović, Daniel E. Knutson, Jelena B. Ðoković, Aleksandar Kremenović, Vladimir D. Dobričić, Danijela V. Randjelović, Ivana Pantelić, James M. Cook, Miroslav M. Savić ...
    ... ty of Deuterated Pyrazoloquinolinone Ligand DK-I-60-3 by Nanonization: A Knowledge-Based Approach | Jelena R. Mitrović , Branka Divović-Matović, Daniel E. Knutson, Jelena B. Ðoković, Aleksandar Kremenović, Vladimir D. Dobričić, Danijela V. Randjelović, Ivana Pantelić, James M. Cook, Miroslav M. Savić ...
    ... Deuterated Pyrazoloquinolinone Ligand DK-I-60-3 by Nanonization: A Knowledge-Based Approach Jelena R. Mitrović 1, Branka Divović-Matović 2, Daniel E. Knutson 3 , Jelena B. Ðoković 1, Aleksandar Kremenović 4 , Vladimir D. Dobričić 5, Danijela V. Randjelović 6, Ivana Pantelić 1 , James M. Cook ...

  • 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