Претрага
3810 items
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Part of Speech Tagging for Serbian language using Natural Language Toolkit
Ranka Stanković, Boro Milovanović (2020)Dok se razvijaju složeni algoritmi za NLP (obrada prirodnog jezika), osnovni zadaci kao što je označavanje ostaju veoma važni i još uvek izazovni. NLTK (Natural Language Toolkit) je moćna Python biblioteka za razvoj programa zasnovanih na NLP-u. Pokušavamo da iskoristimo ovu biblioteku za kreiranje PoS (vrsta reči) oznake za savremeni srpski jezik. Jedanaest različitih modela je kreirano korišćenjem NLTK API-ja za označavanje. Najbolji modeli se transformišu sa Brill tagerom da bi se poboljšala tačnost. Obučili smo modele na označenom ...Ranka Stanković, Boro Milovanović. "Part of Speech Tagging for Serbian language using Natural Language Toolkit" in 7th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2020, Academic Mind, Belgrade (2020)
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Sanacija i stabilizacija kosina na površinskom kopu Momin Kamen u cilju izrade deonice autoputa E75, Koridor 10
Kričak Lazar, Abolmasov Biljana, Čebašek Vladimir, Negovanović Milanka, Marjanović Miloš, Pejić Marko, Marković Jovan, Milanović Stefan, Simić Nikola (2017)Kričak Lazar, Abolmasov Biljana, Čebašek Vladimir, Negovanović Milanka, Marjanović Miloš, Pejić Marko, Marković Jovan, Milanović Stefan, Simić Nikola. "Sanacija i stabilizacija kosina na površinskom kopu Momin Kamen u cilju izrade deonice autoputa E75, Koridor 10" in TR33003 (2017)
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Хидрогеолошке карактеристике изворишта за водоснабдевање Kањиже
Vladimir Jović ( 2024)Rad se bavi hidrogeoloskim karakteristikama izvorista za vodosnabdevanje opstine Kanjiza. Istrazivanja su sprovedena na tri hidrogeoloska kompleksa, od kojih su drugi i treći kompleks kljućni za vodosnabdevanje. Ovi kompleksi se nalaze u sedimentima pleistoćenske i paludinske starosti, na dubinama od 60 do 260 metara, sa subarteskim nivoom vode. Ukupne rezerve podzemnih voda u okviru drugog i treć eg hidrogeoloskog kompleksa iznose 935 l/s, a klasifikovane su u dve kategorije: B i C1. Kvalitet podzemnih voda je stabilan i pripada ...... u Panonskom basenu i obuhvata severozapadnu Bačku. Informacije o geološkoj strukturi ovog područja dobijene su na osnovu dubokih bušotina i geofizičkih ispitivanja. Na osnovu tih istraživanja identifikovana su tri značajna geološka kompleksa, koja obuhvataju: neogenu podlogu, prekambrijske, paleozojske ...
... utvrđena. Neogeni sedimenti Neogeni sedimenti čine značajan deo geološke građe terena. Ovi sedimenti su otkriveni putem dubinskih bušenja i potvrđeni kroz geofizička ispitivanja. Oni se nalaze transgresivno preko starijih geoloških formacija i prekriveni su kvartarnim tvorevinama. Razlikuju se ...
... postala intenzivnija zbog potrebe za otkrivanjem ležišta nafte i gasa. Ova istraživanja obuhvatila su duboka bušenja i geofizička ispitivanja, pružajući detaljniji uvid u dublje geološke strukture terena. Razvoj geotektonike Panonskog basena izučavali su mnogi autori, među kojima su V. Muratov (1949) ...Vladimir Jović. Хидрогеолошке карактеристике изворишта за водоснабдевање Kањиже, 2024
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Linearization of Input Signal as a Necessary Tool in Stochastic Modeling of Karst Groundwater
Veljko Marinović (2021)Modelling of karst hydrogeological systems is a very complicated task, bearing in mind that for a deterministic model one should know the internal physical processes of precipitation transformation into discharge, while for a stochastic model nonlinear dynamic systems such as karst should be simulated by linear regression equations. Stochastic models need linearization of input time series due to often large residual in the recession period. This occur because the model is not able to absorb single rain episodes, which ...Veljko Marinović. "Linearization of Input Signal as a Necessary Tool in Stochastic Modeling of Karst Groundwater" in Karst: From Top to Bottom, Belgrade, 6.6.2021., Belgrade : Centre for Karst Hydrogeology (2021)
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Uporedna analiza stabilnosti završnih kosina površinskog kopa „Veliki Krivelj“
Mihajlo Topalović (2023)Površinski kop „Veliki Krivelj“ nalazi se u blizina grada Bora i u neposrednoj blizini sela Krivelj. Od 2018. godine je u vlasništvu kineske kompanije „Zijin“ koja ima udeo od 63% vlasništva celokupnog RTB-a Bor. Na površinskom kopu obavlja se masovna eksploatacija rude bakra opremom visokog kapaciteta. Za bušenje se koriste bušilice prečnika od 250 do 310 mm, a za utovar minirane rude i jalovine bageri čija je zapremina kašike 15 m3 i 22 m3. Za površinski kop „Veliki Krivelj“ ...Mihajlo Topalović. Uporedna analiza stabilnosti završnih kosina površinskog kopa „Veliki Krivelj“, 2023
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Application of Peleg model on mass transfer kinetics during osmotic dehydratation of pear cubes in sucrose solution
Vesna Pavelkić, Tanja Brdarić, Marija Petrović, Gavrilo Šekularac, Milica Košević, Lato Pezo, Marija Ilić (2015)The applicability of Peleg model was investigated for predicting mass transfer kinetics during the osmotic dehydration (OD) process of pears, at different concentrations (40, 60 and 70%, w/w) and temperatures (20, 35 and 50 °C) of sucrose solution. Increase in sucrose solution concentration resulted in higher water loss (WL) and solid gain (SG) values through the osmotic treatment period. After 360 min of osmotic treatment of pears, WL ranged from 23.71 to 31.68% at 20 °C, from 24.80 to ...Vesna Pavelkić, Tanja Brdarić, Marija Petrović, Gavrilo Šekularac, Milica Košević, Lato Pezo, Marija Ilić. "Application of Peleg model on mass transfer kinetics during osmotic dehydratation of pear cubes in sucrose solution" in Chemical Industry and Chemical Engineering Quarterly (2015). https://doi.org/10.2298/CICEQ141014004P
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Towards a Mining Equipment Ontology
Ranka Stanković, Ivan Obradović, Olivera Kitanović, Ljiljana Kolonja. "Towards a Mining Equipment Ontology" in Proceedings of the 12th International Conference Research and Development in Mechanical Industry, RaDMI 2012, September 2012, Vrnjačka Banja, Serbia no. 1, Vrnjačka Banja, Serbia : SaTCIP (Scientific and Technical Center for Intellectual Property) Ltd. (2012)
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Стратешко планирање функционалности подземних просторија моделом прогнозе деформација
Лука Црногорац (2023)Релативно велике деформације подградне конструкције у подземним рудницима угља у Републици Србији представљају један од главних проблема за постизање планиране производње угља. Деформације подграде су директна последица статичких и динамичких оптерећења стенске масе и у многоме зависе и од времена трајања изложености подграде утицају подземног притиска. Код ниско механизованог радног процеса долази до повећаног излагања подземних просторија утицају подземног притиска услед дугог производног циклуса који је често пропраћен застојима у раду. Веома често подземне просторије се санирају и по ...Лука Црногорац. Стратешко планирање функционалности подземних просторија моделом прогнозе деформација, Београд : [Л. Црногорац], 2023
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Razvoj algoritma fuzzy optimizacije u hidrodinamičkoj analizi za potrebe projektovanja sistema odbrane od podzemnih voda
Dragoljub Bajić, Dušan Polomčić (2019)Sistemi za odbranu od podzemnih voda se koriste za zaštitu hidrotehničkih objekata, priobalja, meliorativnih područja, naselja, rudnika, industrijskih područja, predstavljajući značajne segmente bez kojih bi funkcionalnost ovih objekata i područja bila dovedena u pitanje. Posebno složeni sistemi odbrane od podzemnih voda se karakterišu kod ležišta mineralnih sirovina, imajući u vidu njihovu dinamičnost, koja se ogleda u stalnom širenju ležišta, kao i činjenicu da ova ležišta prodiru duboko u stensku masu različitog strukturnog tipa poroznosti, a time i u podzemne ...upravljanje podzemnim vodama, hidrodinamički model, fuzzy logika, trougaoni fuzzy brojevi, znanje eksperta, optimizacijaDragoljub Bajić, Dušan Polomčić. "Razvoj algoritma fuzzy optimizacije u hidrodinamičkoj analizi za potrebe projektovanja sistema odbrane od podzemnih voda" in Tehnika, Centre for Evaluation in Education and Science (CEON/CEES) (2019). https://doi.org/10.5937/tehnika1904527B
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Trans-Lithospheric Diapirism as a Possible Mechanism for Ophiolite Emplacement?
Nikola Stanković, Taras Gerya, Vladica Cvetković, Vesna Cvetkov. "Trans-Lithospheric Diapirism as a Possible Mechanism for Ophiolite Emplacement?" in EGU General Assembly 2024, Vienna, 14-19 April 2024, Göttingen : Copernicus GmbH (2024). https://doi.org/10.5194/egusphere-egu24-568
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Threshold-induced correlations in the Random Field Ising Model
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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Evaluating the deep learning software tools for large-scale enterprises using a novel TODIFFA-MCDM framework
Zoran Gligorić, Ömer Faruk Görçün, Miloš Gligorić, Dragan Pamucar, Vladimir Simić, Hande Küçükönder (2024)duboko učenje, industrije velikih razmera, MAXC (maksimum kriterijuma), TODIFFA (totalni diferencijal alternative), izbor softvera za dubinsko učenjeZoran Gligorić, Ömer Faruk Görçün, Miloš Gligorić, Dragan Pamucar, Vladimir Simić, Hande Küçükönder. "Evaluating the deep learning software tools for large-scale enterprises using a novel TODIFFA-MCDM framework" in Journal of King Saud University - Computer and Information Sciences, Springer Science and Business Media LLC (2024). https://doi.org/10.1016/j.jksuci.2024.102079
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Idejno rešenje zaštite površinskog kopa Zapadni Kostolac od površinskih i podzemnih voda
Željko Savić (2024)Svaki veći površinski kop ima dobro razvijene etaže, pa samim tim i veće površine na koje dospe površinska voda, koju je potrebno prikupiti i dirigovano provesti do odgovarajućih recipijenata, kako ne bi ugrozila eksploataciju otkrivke i uglja.... dijagramu na slici 3.8. 34 Idejno rešenje zaštite površinskog kopa Zapadni Kostolac od_površinskih i podszemnih voda Slika 3.8. 3D prikaz hidrogeološkog modela Na dijagramu, slika 3.9, može se uočiti da su maksimalne vrednosti koeficijenta filtracije u kvartarnim šljunkovima i peskovima preko ...
... relativno jednostavni za prognozu su geometrija slojeva (geološka građa) koja ima određen stepen poznavanja na ovim prostorima dobijen prvenstveno istražnim bušenjem sa kontinualnim jezgrovanjem, a zatim izradom modela ležišta u Minex softveru. Drugi parametri koji su uslovno poznati i stalni su ...
... formiranja hidrodinamičkog modela sproveden je kroz procese formiranja od konceptualnog hidrogeološkog modela do hidrodinamičkog modela. Hidrodinamički model izrađen je kao višeslojni model koga čine osam modelskih slojeva. Suštinska razlika hiodrodinamičkog modela je da je obuhvatio slojeve od ...Željko Savić. Idejno rešenje zaštite površinskog kopa Zapadni Kostolac od površinskih i podzemnih voda, 2024
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Quantitative analysis of syllable properties in Croatian, Serbian, Russian, and Ukrainian
Biljana Rujević, Marija Kaplar, Sebastijan Kaplar, Ranka Stanković, Ivan Obradović, Jan Mačutek (2021)... 493–504) is a model which �ts the word length distribution well in many languages, see Best (2005), Popescu et al. (2013), and also the bibliography by Karl-Heinz Best at http://wwwuser.gwdg.de/~kbest/litlist.htm. We remind the reader that Radojičić et al. (2019) suggested that we model the frequencies ...
... (2012) presents an overview of several established approaches to the syllable, together with an attempt to integrate the syllable into the synergetic model of language units and their properties (see, e.g., Köhler 2005, 2011). �e analysis is performed on several levels: (1) syllable frequency (it can ...
... modelled by the Zipf-Mandelbrot distribution for all languages under study), (2) syllable length (the Dacey-Poisson distribution is a well-�tting model), (3) the relation between syllable frequency and length (more frequent syllables tend to be shorter), (4) the Menzerath-Altmann law, which is a ...Biljana Rujević, Marija Kaplar, Sebastijan Kaplar, Ranka Stanković, Ivan Obradović, Jan Mačutek. "Quantitative analysis of syllable properties in Croatian, Serbian, Russian, and Ukrainian" in Language and Text: Data, models, information and applications, John Benjamins Publishing Company (2021). https://doi.org/10.1075/cilt.356.04ruj
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Characterization of the eastern Suva Planina Mt. karst aquifer (SE Serbia) by time series analysis and stochastic modelling
Earth-Surface Processes,Geology, Pollution, Soil Science, Water Science and Technology, Environmental Chemistry, Global and Planetary ChangeBranislav Petrović, Veljko Marinović, Zoran Stevanović. "Characterization of the eastern Suva Planina Mt. karst aquifer (SE Serbia) by time series analysis and stochastic modelling" in Environmental Earth Sciences, Springer Science and Business Media LLC (2023). https://doi.org/10.1007/s12665-023-10911-5
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Hyperpycnites within the Devonian-Carboniferous flysch of the Carpatho-Balkanides (Kostadinovica, eastern Serbia)
Miloš Radonjić (2020)This study presents new discoveries of vascular plants and the trace fossil Dictyodora liebeana (GEINITZ) from the Devonian–Carboniferous Kučaj-Zvonce flysch of the Carpatho-Balkanides and the implications of this fossil association for its sedimentary setting. The occurrence of the described plant debris in a deep-marine environment indicates the presence of hyperpycnites within the siliciclastic turbidites exposed at the Kostadinovica locality. The sedimentological data and the characteristics of the fossil material support the proposed model in which the sediment was at ...Mississippian flora, Dictyodora liebeana (GEINITZ), hyperpycnites, Kučaj-Zvonce flysch, Carpatho-BalkanidesMiloš Radonjić. "Hyperpycnites within the Devonian-Carboniferous flysch of the Carpatho-Balkanides (Kostadinovica, eastern Serbia)" in Geologia Croatica, Croatian Geological Survey (2020). https://doi.org/10.4154/gc.2020.13
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Complex geophysical survey on solving the problem of water loss in the karst terrain reservoir
Branislav Sretković, Dejan Vučković (2023)Geophysical surveys in karst terrain are always a specific challenge. Each of them requires a careful consideration of the problem, specific conditions on the ground, the selection of adequate methods applicable in that specific and unique karst area. But they should have one thing in common: a complex approach and looking at the problem from wider to narrower, with a gradual narrowing of the investigation area, increasing the spatial precision and resolution of the obtained data. On the example of ...Branislav Sretković, Dejan Vučković. "Complex geophysical survey on solving the problem of water loss in the karst terrain reservoir" in 8th Symposium Geoscience 2023, Bucharest, 9-11. November 2023, Bucharest : Editura Cetatea de Scaun (2023)
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Machine Learning and Deep Neural Network-Based Lemmatization and Morphosyntactic Tagging for Serbian
The training of new tagger models for Serbian is primarily motivated by the enhancement of the existing tagset with the grammatical category of a gender. The harmonization of resources that were manually annotated within different projects over a long period of time was an important task, enabled by the development of tools that support partial automation. The supporting tools take into account different taggers and tagsets. This paper focuses on TreeTagger and spaCy taggers, and the annotation schema alignment ...Ranka Stanković, Branislava Šandrih, Cvetana Krstev, Miloš Utvić, Mihailo Škorić. "Machine Learning and Deep Neural Network-Based Lemmatization and Morphosyntactic Tagging for Serbian" in Proceedings of the 12th Language Resources and Evaluation Conference, May Year: 2020, Marseille, France, European Language Resources Association (2020)
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Integrative GHG Assessment in Oil and Gas Industry
Reducing greenhouse gas emissions is one of the main targets of national strategies in European countries. As a main contributor to emissions, the energy sector is recognized as the most promising to apply measures and actions aimed to decrease GHG emissions. The Oil and Gas industry as a significant contributor to global greenhouse gas emissions is facing a growing need for estimating, mitigating, and reducing the impact of their operations on the atmosphere to stay competitive in a newly ...... 005286 model output provides a comprehensive view (Figure 2) of the IV RESULTS AND DISCUSSION company'spGILlIJG emissions prlšflle, broken dow(n lžy facišity and Using the input data described in Section 3, the GHG emissions are calculated for the case of the upstrcam O&G company. Thce model is developed ...
... mapping and calculating emissions. This papcr presented a comprehensive assessmcent of forming the GHG model for mapping and calculating emissions in the O&G industry. The presented GHG model was verified through Case Study of annual emissions if a typical upstrcam company where different facilities ...
... Mobile Gasoline) were analysed. The results of the GHG model clearly indicate that the major source of emissions from the typical upstrcam O&G company is gas flaring, mainly due to emission of uncombusted methane. In addition, the presented model highlights the fact that in O&G production, the expected ...Aleksandar Mirković, Marija Živković, Stevan Đenadić, Darja Lubarda, Chinedu Anyanwa. "Integrative GHG Assessment in Oil and Gas Industry" in Energija, ekonomija, ekologija (2023). https://doi.org/10.46793/EEE23-1.51M
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Risk Evaluation: Brief Review and Innovation Model Based on Fuzzy Logic and MCDM
Stevan Djenadic, Milos Tanasijevic, Predrag Jovancic, Dragan Ignjatovic, Dejan Petrovic, Ugljesa Bugaric (2022)The risk assessment of engineering systems represents an important part of the quality of service and dependability. The existing methods for risk evaluation use crisp sets for rating partial indicators’ proposition and their cumulative products as an overall indicator. In this paper, existing FMEA and FMECA methods have been improved using the fuzzy expert system for calculating the risk priority number. The application of fuzzy logic allows the use of linguistic descriptions for risk analysis. In this way, the ...Stevan Djenadic, Milos Tanasijevic, Predrag Jovancic, Dragan Ignjatovic, Dejan Petrovic, Ugljesa Bugaric. "Risk Evaluation: Brief Review and Innovation Model Based on Fuzzy Logic and MCDM" in Mathematics, MDPI AG (2022). https://doi.org/10.3390/math10050811