Претрага
684 items
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Efikasnost različitih tipova glina Srbije za adsorpciju metilen plavog
Maja Milošević D. (2016)Maja Milošević D.. Efikasnost različitih tipova glina Srbije za adsorpciju metilen plavog, Beograd:Rudarsko Geološki Fakultet, 2016
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Sinteza i karakterizacija nanoprahova u CeO2-Bi2O3 sistemu
Marija D. Prekajski (2014)Marija D. Prekajski. Sinteza i karakterizacija nanoprahova u CeO2-Bi2O3 sistemu, Beograd:Rudarsko Geološki Fakultet, 2014
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O mogućnosti proizvodnog reaktiviranja ležišta cementnih laporaca Ralja kod Beograda
Ilić M., Kričak Lazar, Jagodić-Krunić D., Podunavac D.. "O mogućnosti proizvodnog reaktiviranja ležišta cementnih laporaca Ralja kod Beograda" in Zbornik radova XI Međunarodne Konferencije o površinskoj eksploataciji - OMC 2014, Zlatibor,Srbija:Jugoslovenski komitet za površinsku eksploataciju,Savez inženjera rudarstva i geologije Srbije (2014): 103-111
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Developing Termbases for Expert Terminology under the TBX Standard
... ❣❡♦❧♦❣②✮✱ ❛♥❞ r❡❧❛t❡❞ ❝♦♥❝❡♣ts ♣♦❥❛✈❛ ♠✐♥❡r❛❧♥✐❤ s✐r♦✈✐♥❛ ✭♦❝❝✉r❡♥❝❡ ♦❢ ♠✐♥❡r❛❧ r❡s♦✉r❝❡✮✱ r✉❞♥♦ t❡❧♦ ✭♦r❡ ❜♦❞②✮ ✐ r✉❞❛ ✭♦r❡✮✳ ❘❡❧❛t❡❞ ♥❛rr♦✇❡r ❝♦♥✲ ❝❡♣ts ❛r❡ ❛❧s♦ r❡♣r❡s❡♥t❡❞✿ ❧❡➸✐➨t❡ ♠❡t❛❧✐↔♥✐❤ ♠✐♥❡r❛❧♥✐❤ s✐r♦✈✐♥❛✱ ❧❡➸✐➨t❡ ♥❡♠❡✲ t❛❧✐↔♥✐❤ ♠✐♥❡r❛❧♥✐❤ s✐r♦✈✐♥❛✱ ❧❡➸✐➨t❡ ❡♥❡r❣❡ts❦✐❤ ♠✐♥❡r❛❧♥✐❤ s✐r♦✈✐♥❛ ✭❞❡♣♦s✐ts ...
... t❤❡ r❡q✉✐r❡❞ t❡r♠✐♥♦❧♦❣② ❛r❡ t②♣✐✲ ❝❛❧❧② ❧❛r❣❡✳ ❚❤❡r❡❢♦r❡✱ ✐♥t❡❣r❛t✐♥❣ r❡❧❛t❡❞ t❡r♠✐♥♦❧♦❣② ✐♥t♦ ❛ tr❛♥s❧❛t✐♦♥ ♣✐♣❡❧✐♥❡ s❤♦✉❧❞ ❜❡ ❡①♣❧♦r❡❞ ❬✶✼❪✳ ❚❤✐s ❛♣♣r♦❛❝❤ r❡q✉✐r❡s ❛ ♣r♦❝❡ss t❤❛t ✐s ❛s ❛✉t♦♠❛t❡❞ ❛s ♣♦ss✐❜❧❡✳ ❲✐t❤ t❡r♠ ❡①tr❛❝t✐♦♥ ❛s ✐ts ❝♦r♥❡rst♦♥❡✱ ✐t r❡q✉✐r❡s ❛ ♣♦st✲♣r♦❝❡ss✐♥❣ str❛t❡❣② t❤❛t r❡♣✉r♣♦s❡s ...
... ❉❡✈❡❧♦♣✐♥❣ ❚❡r♠❜❛s❡s ✉♥❞❡r t❤❡ ❚❇❳ ❙t❛♥❞❛r❞ ✶✸ ❛r❡ st✐❧❧ ❜♦✉♥❞ t♦ ♠❛✐♥t❛✐♥ t❤❡✐r ✐♠♣♦rt❛♥❝❡ ✐♥ t❤❡ ❝❛s❡ ♦❢ ❡①♣❡rt t❡r♠✐♥♦❧♦❣② ✐♥ ❞♦♠❛✐♥s ✇❤❡r❡ ❛❧✐❣♥❡❞ ❝♦r♣♦r❛ ❛r❡ s♣❛rs❡ ❬✶✵❪✱ s✉❝❤ ❛s✱ ❢♦r ❡①❛♠♣❧❡ ♠✐♥✐♥❣ ❡♥❣✐♥❡❡r✐♥❣ ♦r ❣❡♦❧♦❣②✳ ■♥ ♦r❞❡r t♦ s❡❝✉r❡ t❡r♠✐♥♦❧♦❣✐❝❛❧ ❝♦♥s✐st❡♥❝② ✐♥ ♦♥❡ ♦r ♠♦r❡ t❡r♠❜❛s❡s✱ ❛♥❞ ...Ranka Stanković, Ivan Obradović, and Miloš Utvić. "Developing Termbases for Expert Terminology under the TBX Standard" in Natural Language Processing for Serbian - Resources and Applications, Belgrade : University of Belgrade, Faculty of Mathematics (2014)
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Named Entity Recognition for Distant Reading in ELTeC
Francesca Frontini, Carmen Brando, Joanna Byszuk, Ioana Galleron, Diana Santos, Ranka Stanković (2020)Akcija COST „Udaljeno čitanje za evropsku književnu istoriju“, koja je počela 2017. godine, ima među svojim glavnim ciljevima stvaranje višejezične zbirke evropskih književnih tekstova (ELTeC) otvorenog koda. U ovom radu predstavljamo rad koji je obavljen na ručnom označavanju selekcije ELTeC kolekcije za imenovane entitete, kao i na proceni postojećih alata za prepoznavanje imenovanih entiteta u pogledu njihove sposobnosti da automatski urade takve anotacije. U poslednjem paragrafu se razmatraju zajedničke tačke između ove inicijative i CLARIN-a.... rd N E R h a s b e t te r p r e c is io n fo r L O C th a n s p a C y a n d h a s n o p ro b le m s w ith T E I X M L ta g s . F o r b o th m o d e ls , s o m e a d d it io n a l t r a in in g a n d f in e tu n in g w o u ld b e n e e d e d fo r b e t te r p e r fo rm a ...
... c a r r ie d o u t w ith v a r io u s N E R m o d u le s , a n d w il l c o n s t i tu te a n o p p o r - tu n i ty to d is c u s s th e a f o re m e n tio n e d p o in ts w ith e x p e r ts f ro m C L A R IN E R IC a n d th e v a r io u s n a tio n a l c o n so r tia . ...
... n u m b e r o f c a te g o r ie s a n d ru le s fo r c r e a t in g a n n o ta te d c o rp o ra , so th a t a u to m a tic a lg o r i th m s c a n t ry to r e p l ic a te su c h a n n o ta tio n . H o w e v e r , N E R is a p r e l im in a ry m o d u le fo r o th e r ta s k s ...Francesca Frontini, Carmen Brando, Joanna Byszuk, Ioana Galleron, Diana Santos, Ranka Stanković. "Named Entity Recognition for Distant Reading in ELTeC" in CLARIN Annual Conference 2020, Oct 2020, Virtual Event, France, CLARIN (2020)
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Models of Determining the Parameters of Rock Mass Oscillation Equation with Experimental and Mass Blastings
... distance R from any level is increased (decreased) by 1%, the oscillation velocity of the soil v will decrease (increase) by approximately n% [8]. Indeed, for h = ± R 100 = ±1%R, from (12) we obtain: v ( R ± R 100 ) ≈ v(R)∓ n· R 100 · v(R) R , v ( R ± R 100 ) ≈ v(R)∓ n· v(R) 100 , v(R ± 1%R) ≈ v(R)∓ ...
... function v(R) from (7), in the final growth increment, we obtain: v(R + h) ≈ v(R) + h·v′(R + θ·h), 0 < θ < 1. (11) For small absolute values h, from (11), we obtain the relation: v(R + h) ≈ v(R) + h·v′(R). (12) Having (10) in mind, relation (12) becomes: v(R + h) ≈ v(R)− n·h·v(R) R . (13) A s ...
... the form: v(R) = K-R™. (7) Then from the Equation (7) for the derivation v’(R), we obtain: o'(R) = —n-K-R-"1, (8) Minerals 2018, 8, 70 5 of 18 which may be written in the form: v′(R) = − n R ·K·R−n. (9) Having in mind Equation (7), from the Equation (9), we obtain: v′(R) = −n·v(R) R . (10) If ...Suzana Lutovac, Branko Gluščević, Rade Tokalić, Jelena Majstorović, Čedomir Beljić. "Models of Determining the Parameters of Rock Mass Oscillation Equation with Experimental and Mass Blastings" in Minerals, Basel : MDPI AG, Basel, Switzerland (2018). https://doi.org/10.3390/min8020070
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Some models for determination of parameters of the soil oscillation law during blasting operations
... Equation (3), we obtain: v “ Kv ¨ ˝ 3 b 3¨Q 4¨π r ˛ ‚ n “ Kv ¨ ˜ 3 c 3 4 ¨ π ¸n ¨ ˆ 3 ? Q r ˙n “ Kv ¨ K1 ¨ ˆ r 3 ? Q ˙´n “ K ¨ ˆ r 3 ? Q ˙´n “ K ¨ R´n (5) where as: ˜ 3 c 3 4 ¨ π ¸n “ K1; Kv “ K K1 ; r 3 ? Q “ R (6) where: R—reduced distance is the distance from blasting ...
... marked ´n, meaning that: ∆v v ∆R R « ´n (7) Thereby it can be considered that: lim∆RÑ0 ∆v v ∆R R “ ´n, which means: dv v dR R “ ´n (8) Equation (8) can be written in the form: dv v “ ´n ¨ dR R , where by integration is obtained: ż dv v “ ´n ¨ ż dR R , namely: logv “ logR´n ` logC (9) ...
... Sm—surfaces of some trapezoids. R Rk Rk R RR RR £R R Figure 2. Graphic view of the polygonal line, N-1 of the trapezoid and curve v = K- R™". If: Ry —R Rigi -Ri =h= a (19) then, for S7, the following value is obtained: h Srp = = [01 +2(v2 +03 +...+U0N-1) + UN] (20) 2 If points R; are not equally spaced, ...Suzana Lutovac, Dragan Medenica, Branko Gluščević, Rade Tokalić, Čedomir Beljić. "Some models for determination of parameters of the soil oscillation law during blasting operations" in Energies, Basel, Switzerland : MDPI (2018). https://doi.org/10.3390/en9080617
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A Knowledge-Based Approach to Mine Ventilation Planning in Yugoslav Mining Practice
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 ...... in g w it h d o o r - m ai n f an F ig . 1 4 . T h e a ir d is tr ib u ti o n o b ta in ed b y st a n d a rd m et h o d . 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 ...
... 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 ...Nikola Lilić, Ivan Obradović, Ranka Stanković. "A Knowledge-Based Approach to Mine Ventilation Planning in Yugoslav Mining Practice" in Mineral Resources Engineering 11 no. 4, Imperial College Press (2002): 361-382. https://doi.org/10.1142/S0950609802001014
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Analysis of a simplified model for determining rock mass oscillation velocity at the Kovilovača open pit
... 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 ...
... Simeunović, D. Matfhematics, Faculty of Mining and Geology, Mining department, Belgrade, Serbia, 1985; pp. 101-103. Žižić, M.; Lovrić, M.; Pavličić, D. Mezhods of Statistical Analysis, Faculty of Economics in Belgrade: Belgrade, Serbia, 1996; pp. 141—150. Trajković, S.; Tokalić, R.; Lutovac, S ...
... 7174 65.0545 65.3916 75.2014 O | O D | | C N | n | => | ) | ) | — Based on data from table 4, a statistical analysis has been done and following values have been obtained. The curved line dependency index QO between the reduced distance R and rock mass oscillation velocity Y : 202 ...Suzana Lutovac, Miloš Gligorić, Jelena Majstorović, Luka Crnogorac. "Analysis of a simplified model for determining rock mass oscillation velocity at the Kovilovača open pit" in 9th International Conference Mining and Environmental protection MEP, 24 – 27 May 2023, Sokobanja, Serbia, Belgrade : University of Belgrade-Faculty of mining and geology (2023)
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Late Pleistocene herpetofauna from the Baranica Cave (Serbia)
Đurić D., Bogićević Katarina (2013)Đurić D., Bogićević Katarina. "Late Pleistocene herpetofauna from the Baranica Cave (Serbia)" in 17th European Congress of Herpetology, Veszprém, Hungary, University of Pannonia, 22-27 August 2013 (2013)
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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)... arsenic Atlanta, 1993. 27. SCHUHMACHER-WOLZ U, DIETER HH, KLEIN D, SCHNEIDER K., Oral exposure to inorganic arsenic: eval- uation of its carcinogenic and non-carcinogenic effects. Crit. Rev. Toxicol., 39, (4), 271, 2009. 28. SAMS R., WOLF D. C., RAMASAMY S., OHANIAN E., CHEN J., LOWIT A., Workshop overview: ...
... *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 ...Petar Papić, Marina Ćuk, Maja Todorović, Jana Stojković, Bojan Hajdin, Nebojša Atanacković, Dušan Polomčić. "Arsenic in tape waters of the south Pannonian basin (Serbia) and arsenic risk assessment" in Polish Journal of Enivronmental Studies 21 no. 6, Olsztyn, Poland : Polish Journal of Enivronmental Studies (2012): 1783-1790
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Nonequilibrium athermal random-field Ising model on hexagonal lattices
Svetislav Mijatović, Dragutin Jovković, Đorđe Spasojević. "Nonequilibrium athermal random-field Ising model on hexagonal lattices" in Physical Review E, American Physical Society (APS) (2021). https://doi.org/10.1103/PhysRevE.103.032147
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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 ...Milena Rosić, Maja Milošević, Maria Čebela, Vladimir Dodevski, Vesna Lojpur, Radomir Ljupković, Aleksandra Zarubica. "Investigation of Co0.9Ho0.1MoO4 Nanopowders Obtained by Glycine Nitrate Procedure" in Book of Abstracts / 26th Congress of SCTM with international participation, 20-23 September 2023, Ohrid, R. Macedonia, Skopje : Society of Chemists and Technologists of Macedonia (2023)
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A tool for identifying the criticality in the disordered systems with metastable dynamics
Svetislav Mijatović, Dragutin Jovković, Sanja Janićević, Stefan Graovac, Đorđe Spasojević. "A tool for identifying the criticality in the disordered systems with metastable dynamics" in Physica A: Statistical Mechanics and its Applications, Elsevier BV (2021). https://doi.org/10.1016/j.physa.2021.125883
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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. "Critical disorder and critical magnetic field of the nonequilibrium athermal random-field Ising model in thin systems" in Physical Review E, American Physical Society (APS) (2019). https://doi.org/10.1103/PhysRevE.100.032113
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Multivarijabilni modeli upravljanja u rudarstvu
Marjan M. Hudej (2014-02-03)osetljivost i rizik. Više pobuda generiše ovakvu atribuciju. Prva je, multivarijabilnostambijentalnih uslova i funkcionalna i strukturna složenost rudarskih sistema (čovek -priroda (radna sredina) - mašina – okruženje); Druga se odnosi na ne postojanje opštenaučne saglasnosti oko ocene pogodnosti modela za podršku odlučivanju i upravljanje.Treća, ako bi saglasnost i postojala, nije sigurno da bi raspoloživi modeli, metode i taktike,dale ekvivalentne rezultate za iste rudničke uslove. Četvrta, sistemske nauke još uveknemaju opšte prihvaćen i u praksi primenljiv algoritam izbora najboljeg rešenja ...... B C D T + T R a n g A 0,2500 0,3000 0,0000 0,1833 -0,5417 4 B 0,7500 0,5250 0,2750 0,5167 0,2750 2 C 0,4750 0,2250 0,2250 0,3083 -0,2250 3 D 0,9500 0,2500 0,7750 0,6583 0,4917 1 T 0,7250 0,2417 0,5333 0,1667 Tabela 4-9, ELECTRE model, matrica agregatne dominacije A B C D R a n ...
... izgradnje okna Rang PROMET. ELECTRE VIKOR AHP A Lokacija A 4 3 4 4 B Lokacija B 2 1 2 1 C Lokacija C 3 2 3 3 D Lokacija D 1 2 1 2 Koeficijenti korelacije R ed os le d IV V re d n os t 0,63245 I 1 IV 0,63245 III 0,80000 II 0,94868 III 0,80000 Marjan Hudej, ...
... 550 1 D 0,675 2,0 0,292 2,0 0,383 2 E 0.558 3.0 0.408 3.0 0,150 3 Tabela 4-35, ELECTRE model, matrica agregatne dominacije Tehnološk. rešenje A1 A2 B1 B2 C D E Nadmašuje R a n g A1 1 0 0 0 0 0 1 4 A2 0 0 0 0 0 0 0 5 B1 1 1 1 0 0 0 2 3 B2 0 1 0 0 0 0 1 4 C 1 1 1 1 0 0 4 2 D 1 1 1 1 ...Marjan M. Hudej. "Multivarijabilni modeli upravljanja u rudarstvu" in Универзитет у Београду, Универзитет у Београду, Рударско-геолошки факултет (2014-02-03)
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Multivarijabilni modeli upravljanja u rudarstvu
Marjan M. Hudej (2014-02-03)osetljivost i rizik. Više pobuda generiše ovakvu atribuciju. Prva je, multivarijabilnostambijentalnih uslova i funkcionalna i strukturna složenost rudarskih sistema (čovek -priroda (radna sredina) - mašina – okruženje); Druga se odnosi na ne postojanje opštenaučne saglasnosti oko ocene pogodnosti modela za podršku odlučivanju i upravljanje.Treća, ako bi saglasnost i postojala, nije sigurno da bi raspoloživi modeli, metode i taktike,dale ekvivalentne rezultate za iste rudničke uslove. Četvrta, sistemske nauke još uveknemaju opšte prihvaćen i u praksi primenljiv algoritam izbora najboljeg rešenja ...... B C D T + T R a n g A 0,2500 0,3000 0,0000 0,1833 -0,5417 4 B 0,7500 0,5250 0,2750 0,5167 0,2750 2 C 0,4750 0,2250 0,2250 0,3083 -0,2250 3 D 0,9500 0,2500 0,7750 0,6583 0,4917 1 T 0,7250 0,2417 0,5333 0,1667 Tabela 4-9, ELECTRE model, matrica agregatne dominacije A B C D R a n ...
... izgradnje okna Rang PROMET. ELECTRE VIKOR AHP A Lokacija A 4 3 4 4 B Lokacija B 2 1 2 1 C Lokacija C 3 2 3 3 D Lokacija D 1 2 1 2 Koeficijenti korelacije R ed os le d IV V re d n os t 0,63245 I 1 IV 0,63245 III 0,80000 II 0,94868 III 0,80000 Marjan Hudej, ...
... 550 1 D 0,675 2,0 0,292 2,0 0,383 2 E 0.558 3.0 0.408 3.0 0,150 3 Tabela 4-35, ELECTRE model, matrica agregatne dominacije Tehnološk. rešenje A1 A2 B1 B2 C D E Nadmašuje R a n g A1 1 0 0 0 0 0 1 4 A2 0 0 0 0 0 0 0 5 B1 1 1 1 0 0 0 2 3 B2 0 1 0 0 0 0 1 4 C 1 1 1 1 0 0 4 2 D 1 1 1 1 ...Marjan M. Hudej. "Multivarijabilni modeli upravljanja u rudarstvu" in Универзитет у Београду, Универзитет у Београду, Рударско-геолошки факултет (2014-02-03)
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A Fuzzy Expert Model for Availability Evaluation
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 ...... are: R(D-Lib.) = 0.06/exc,0.62/good,0.32/avr; M(D-Lib.) = 0.56/good,0.44/avr; S(D-Lib.) = 0.4/good,0.3/aver,0.3/adeq; R(D-Drs.) = 0.34/good,0.56/aver,0.1/adeq; M(D-Drs.) = 0.12/good,0.68/aver,0.2/adeq; S(D-Drs.) = 0.56/aver,0.44/adeq; R(D-Cat.) = 0.52/exc,0.4/good,0.08/avr; M(D-Cat.) = ...
... at three different surface mines (Drmno – D, Tamnava West Field – T, Field D – F) were considered. Availability evaluation was made based on experts’ judgments and assessments. The fuzzy inference engine is used to synthesize mentioned fuzzy numbers (R, M and S) into one overall (A). Identification ...
... = 0.4/exc,0.38/good,0.22/avr; S(D-Cat.) = 0.14/exc,0.76/good,0.1/avr; On the base of questionnaires for eight analysts for Tamnava west field – Kolubara basin and seven analysts from Field D – Kolubara basin, final grades for bulldozers are: R(T-Lib.) = 0.13/exc,0.5/good,0.38/avr; M(T-Lib.) = ...Dejan Ivezić, Miloš Tanasijević, Predrag Jovančić, Radiša Đurić. "A Fuzzy Expert Model for Availability Evaluation" in Proceedings of the 2019 20th International Carpathian Control Conference (ICCC), AGH University of Science and Technology, Kraków - Wieliczka, Poland (2019)
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Threshold-induced correlations in the Random Field Ising Model
... 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 ...
... 7A9T7x109 7 7 7 T T r r 1.7493x10 1749910 1.7505x10 10! 102 103 104 C 18{ d 18 ule R=2.25 1.754 i i = 1.64 @ 1.7 iS . 1.704 °. oe 10°} 15] ®eeeccee0 y ac La ° 1.6 0 1000 1.655 & °. 15 a 1.604 e 0.0 O01 02 03 A Vy=20 r vy Vin=50 1554 = R=2.95 a, Vi =100 © R=23 "S . < V,,=200 1.504 & R=2.35 wl? © vy th ee ...
... variation of exponent 57 with Vj, is shown in inset. (d) Ys,7 vs Vy, data, obtained for 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 ...Sanja Janićević, Dragutin Jovković, Lasse Laurson, Đorđe Spasojević. "Threshold-induced correlations in the Random Field Ising Model" in Scientific Reports, Springer Science and Business Media LLC (2018). https://doi.org/10.1038/s41598-018-20759-6
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Properties of fly ash and slag from the power plants
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... MENENDEZ, R., ALVAREZ, D., DIAZ-SOMOANO, M. & MARTI- NEZ-TARAZONA, R. (2003): Phase-mineral and chemical composition of coal fly ashes as a basis for their multicomponent utilization. 1. Characterization of feed coals and fly ashes.– Fuel, 82, 1793–1811. VASSILEV, S., MENENDEZ, R., ALVAREZ, D., DIAZ-SOMOANO ...
... 1490–1512. WARD, C. & FRENCH, D. (2005): Relation between Coal and Fly Ash Mineralogy, Based on Quantitative X-Ray Diffraction Methodos. 2005 World of Coal Ash, In- ternational Symposium, April 11–15, 2005, 1–14. ŽIVOTIĆ, D., BECHTEL, A., SACHSENHOFER, R., GRATZER, R., RADIĆ, D., OBRADOVIĆ, M. & STOJANOVIĆ ...
... l Journal of Coal Geo- logy, 157, 165–183. ŽIVOTIĆ, D., STOJANOVIĆ, K., GRŽETIĆ, I., JOVANČIĆEVIĆ, B., CVETKOVIĆ, O., ŠAJNOVIĆ, A., SIMIĆ, V., STOJAKOVIĆ, R. & SCHEEDER, G. (2013): Petrological and geochemical composition of lignite from the D field, Kolubara basin (Serbia).– International Journal ...Miloš Šešlija, Aleksandra Rosić, Nebojša Radović, Milinko Vasić, Mitar Đogo, Milovan Jotić. "Properties of fly ash and slag from the power plants" in Geologia Croatica, Zagreb : Croatian Geological Survey (2016). https://doi.org/10.4154/gc.2016.26