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Упит dcterms_subject_txt:soft computing

84 items

  • Different aspects of soft computing methods application for blasting in mining

    Katarina Urošević, Jelena Zakonović, Radmila Gaćina (2019)
    Mining is a global industry that is of great importance for every product which is used by human. For mining, process efficiency, reducing production downtime, increasing profitability are all very important. Soft computing tehnologies (SC) are helping in the process of transforming the mining industry into a safer and more environmental friendly industry, but keeping in mind the financial aspect as well. In this paper some of fields of blasting activities in which the SC methods have been applicated, ...
    soft computing, blasting, fuzzy logic, neural networks

  • Model inteligentnog sistema adaptivnog upravljanja procesom prerade rude

    Ivana M. Jovanović (2016-01-13)
    U oblasti procesa prerade rude, flotacijska koncentracija predstavlja jednu od najznačajnijih i najčešće primenjivanih metoda separacije korisnih od nekorisnih minerala. Samim tim, veoma je važno osigurati uspešan rad flotacijskog postrojenja kroz dostizanje zadovoljavajućih tehno-ekonomskih pokazatelja. Cilj upravljanja procesom flotacijske koncentracije je upravo optimizacija kvaliteta i iskorišćenja korisne komponente u koncentratu uz maksimizaciju profita. Shodno tome, istraživanja na polju modelovanja i upravljanja ovim procesom zauzimaju značajno mesto u praksi kontolnog inženjenringa.Teorijska istraživanja u okviru doktorske disertacije obuhvatila su analizu položaja ...
    flotacijska koncentracija, modelovanje, upravljanje, inteligentni sistem, soft kompjuting, fazi logika, veštačke neuronske mreže
    ... 151. Leiviskä, K., 2001a. Basics of Soft Computing Methods. In: Industrial Applications of Soft Computing: Paper, Mineral and Metal Processing Industries (Edited by K. Leiviskä), Publisher: Physica-Verlag, pp. 3–22 152. Leiviskä, K., 2001b. Soft Computing Applications in Mineral and Metal Industries ...
    ... F., De Silva, C., 2004. Soft Computing and Intelligent Systems Design. Publisher: Pearson Education, 560 p. 138. Kaur, A., Kaur, A., 2012. Comparison of Mamdani-Type and Sugeno-Type Fuzzy Inference Systems for Air Conditioning System. International Journal of Soft Computing and Engineering (IJSCE) ...
    ... process. Keywords: flotation concentration, modelling, control, intelligent system, soft computing, fuzzy logic, artificial neural networks Scientific area: MINING ENGINEERING Narrow scientific area: COMPUTING AND SYSTEM ENGINEERING UDC: 004.81-1:005.1/.3/.5/.7:311 519.237/.245 621 ...

  • A Model for Determining Fuzzy Evaluations of Partial Indicators of Availability for High-Capacity Continuous Systems at Coal Open Pits Using a Neuro-Fuzzy Inference System

    Miljan Gomilanović, Miloš Tanasijević, Saša Stepanović, Filip Miletić (2023)
    This paper presents a model for determining fuzzy evaluations of partial indicators of the availability of continuous systems at coal open pits using a neuro-fuzzy inference system. The system itself is a combination of fuzzy logic and artificial neural networks. The system availability is divided into partial indicators. By combining the fuzzy logic and artificial neural networks, a model is obtained that has the ability to learn and uses expert judgment for that learning. This paper deals with the ...
    системи, континуални системи експлоатације (роторни багер-транспортер-дробилично постројење), рударство, расположивост, меко рачунарство, фази логика, ANN, ANFIS

  • Soft computing-based modelling of flotation processes - a review

    Jovanović Ivana, Miljanović Igor (2015)

  • Soft computing optimization in the coal industry

    Benović Tomo, Miljanović Igor, Gajić Grozdana, Maksimović Svetomir, Milutinović Aleksandar (2011)

  • Fuzzy expert analysis of the severity of mining machinery failure

    Dejan V. Petrović, Miloš Tanasijević, Saša Stojadinović, Jelena Ivaz, Pavle Stojković (2020)
    Mining machinery failure is almost an everyday occurrence. Usually the failures bare certain consequences, which require additional financial costs to repair and restore the system to its operational state. The consequences are viewed through negative and damaging effects a failure has on the machine, health and safety of the employees, work environment, and on the environment. The removal of the consequences of the failure requires additional financial investment, which has a negative impact on the company’s business. In order ...
    Severity of failure, Severity of failure assessment, Mining machinery, Fuzzy sets, Fuzzy logic

  • Using Query Expansion for Cross-Lingual Mathematical Terminology Extraction

    Velislava Stoykova, Ranka Stanković (2018)

  • Industrija 4.0 - koncept prediktivnog održavanja 4.0 (PdM 4.0) u rudarstvu

    Predrag Jovančić, Vesna Damnjanović, Dragan Ignjatović, Miloš Tanasijević, Stevan Đenadić (2019)
    Četvrtu industrijsku revoluciju – Industriju 4.0 karakteriše upotreba cyber-fizičkih sistema. Da bi se postigla optimalna strategija održavanja (ali i eksploatacije), neophodno je razviti sisteme koji podržavaju napredne inteligentne sisteme održavanja ili tehnologije pametnog održavanja. Iz toga su proizašli postulati Prediktivnog održavanja 4.0 (PdM 4.0) koji definišu veoma blisku budućnost u oblasti održavanja tehničkih sistema pa i rudarske opreme. PdM 4.0 uključuje iskorišćenje snage veštačke inteligencije za stvaranje stalnog uvida u otkrivanje uzroka i anomalija u radu opreme, koje se ...
    rudarstvo, prediktivno održavanje PdM 4.0, Industrija 4.0

  • Development of Open Educational Resources (OER) for Natural Language Processing

    Cvetana Krstev, Biljana Lazić, Ranka Stanković, Giovanni Schiuma, Miladin Kotorčević (2015)
    In this paper we present the development of an online course at the edX BAEKTEL platform named “Lexical Recognition in the Natural Language Processing (NLP)”. It is based on the course of the same name for PhD studies at the University of Belgrade, Faculty of Philology. There are not many courses in Computational Linguistics (CL) on OER platforms, and there is none in Serbian either for CL or NLP. We have developed this course in order to improve this ...
    E-Learning, Open Educational Resources, Computational Linguistics, Lexical Resources, edX
    ... languages, such as computer languages e.g. Java, C#, C++, etc. [2] Interest in NLP began in 1950 when Alan Turing published his paper entitled “Computing Machinery and intelligence,” [4] but in the past ten years saw a rapid and substantial growth in the commercialization of NLP. We believe that ...
    ... Schubert, L., Computational Linguistics, in The Stanford Encyclopedia of Philosophy, E.N. Zalta, Editor. 2015, Springer. [4] Turing, A., I.—Computing machinery and intelligence. Mind, 1950. LIX(236): p. 433-460. [5] White Paper Series, H. Uszkoreit and G. Rehm, Editors. 2012, Springer: Berlin ...

  • 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 ...
    obrada prirodnog jezika, mašinsko učenje, neuronske mreže
    ... Serbian language using Natural Language Toolkit | Ranka Stanković, Boro Milovanović | 7th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2020 | 2020 | | http://dr.rgf.bg.ac.rs/s/repo/item/0005193 Дигитални репозиторијум Рударско-геолошког факултета Универзитета ...

  • Bridging Computational Lexicography and Corpus Linguistics: A Query Extension for OntoLex-FrAC

    Christian Chiarcos, Ranka Stanković, Maxim Ionov, Gilles Sérasset (2024)
    OntoLex, dominantni standard zajednice za mašinski čitljive leksičke resurse u kontekstu RDF-a, Linked Data i tehnologija Semantičkog veba, trenutno se proširuje sa posebnim modulom za Frekvencije, Primere i Informacije zasnovane na Korpusu (OntoLex-FrAC). Predlažemo novi komponent za OntoLex-FrAC, koji se bavi inkorporacijom korpusnih upita za (a) povezivanje rečnika sa korpusnim mašinama, (b) omogućavanje RDF baziranih web servisa da dinamički razmenjuju korpusne upite i podatke odgovora, i (c) korišćenje konvencionalnih upitačkih jezika za formalizaciju unutrašnje strukture kolokacija, skica reči i ...
    standardizacija, digitalna leksikografija, OntoLex, upiti korpusa, povezani podaci, Lingvistički povezani otvoreni podaci

  • Knowledge Graphs in the Era of Large Language Models: Opportunities and Challenges

    Danka Jokić, Ranka Stanković, Jelena Jaćimović (2024)
    Pojava velikih jezičkih modela (eng. Large Language Models ili LLMs) je značajno uticala na oblast veštačke inteligencije, naročito u oblastima obrade prirodnog jezika i generisanju teksta. Međutim, ključno ograničenje ovih modela leži u nedostatku strukturiranog znanja i sposobnosti zaključivanja, što otežava njihovu primenu u stvarnom svetu, gde se zahteva tačnost iznetih činjenica i zaključivanje na osnovu konteksta. S druge strane, grafovi znanja nude primamljivo rešenje. Oni pružaju bogat izvor strukturiranog znanja, tako što predstavljaju entitete i njihove relacije u ...
    grafovi znanja, veliki jezički modeli, obrada prirodnog jezika, strukturirano znanje, kvalitet podataka, objašnjiva veštačka inteligencija, bezbednost sadržaja na internetu

  • Creation of a Training Dataset for Question-Answering Models in Serbian

    Ranka Stanković, Jovana Rađenović, Maja Ristić, Dragan Stankov (2024)
    Razvoj i primena veštačke inteligencije u jezičkim tehnologijama značajno su napredovali poslednjih godina, posebno u domenu zadatka odgovaranja na pitanja (Question Answering - QA). Dok su postojeći resursi za QA zadatke razvijeni za glavne svetske jezike, srpski jezik je relativno zanemaren u ovoj oblasti. Ovaj rad predstavlja inicijativu za kreiranje obimnog i raznovrsnog skupa podataka za obučavanje modela za odgovaranje na pitanja na srpskom jeziku, koji će doprineti unapređenju jezičkih tehnologija za srpski jezik. Pored brojnih istraživanja o jezičkim modelima ...
    veštačka inteligencija, obrada prirodnog jezika, jezički resursi, anotirani skupovi, ekstrakcija informacija, odgovaranje na pitanja

  • The Nooj System as Module within an Integrated Language Processing Environment

    Ranka Stanković, Duško Vitas, Cvetana Krstev (2008)
    NooJ, electronic dictionary, lexical resources
    ... ‘računar, kompjuter’, and then transformed by ILI (interlingual index) to query consisting of a set of English keywords: ‘computer, computing machine, computing device, data processor, electronic computer, information processing system’. Similarly, English query ‘document‘, is expanded by English ...

  • Simulation of Hydrogeological Environmental Discharge in Case of Interruption Constant Observations

    Marina Čokorilo Ilić, Dragoljub Bajić, Miroslav Popović (2024)
    Monitoring Network, data, hydrogeological environment, tunnel, simulation

  • SASA Dictionary as the Gold Standard for Good Dictionary Examples for Serbian

    Ranka Stanković, Branislava Šandrih, Rada Stijović, Cvetana Krstev, Duško Vitas, Aleksandra Marković (2019)
    У овом раду представљамо модел за избор добрих примера за речник српског језика и развој иницијалних компоненти модела. Метода која се користи заснива се на детаљној анализи различитих лексичких и синтактичких карактеристика у корпусу састављених од примера из пет дигитализованих свезака речника САНУ. Почетни скуп функција био је инспирисан сличним приступом и за друге језике. Дистрибуција карактеристика примера из овог корпуса упоређује се са карактеристиком дистрибуције узорака реченица ексцерпираних из корпуса који садрже различите текстове. Анализа је показала да ...
    Српски, добри примери из речника, аутоматизација израде речника, издвајање својстава, Машинско учење
    ... order in sentences]. Beograd: Društvo za srpski jezik i književnost Srbije. (In Serbian, Cyrillic.) Rätsch, G., Onoda, T., & Müller, K. R. (2001). Soft margins for AdaBoost. Machine learning, 42(3), pp. 287–320. Sabo, O. & Vitas, D. (1998). Mogućnost osavremenjivanja izrade rečnika na primeru 268 ...
    ... tested by more lexicographers, with parallel evaluation and interrater agreement checking. Finally, we also plan to introduce flexible mapping of computing scores – from 1 (worst) to 5 (best) – and score our examples using them. This can be performed either by looking at the rules and constructing an ...

  • Advancing Sentiment Analysis in Serbian Literature: A Zero and Few-Shot Learning Approach Using the Mistral Model

    Milica Ikonić Nešić, Saša Petalinkar, Mihailo Škorić, Ranka Stanković, Biljana Rujević (2024)
    Ova studija predstavlja analizu sentimenta srpskih starih romana iz perioda 1840-1920, koristeći veliki jezički model (LLM) Mistral za tehniku učenja sa zasnovani na takozvanim "zero" i "few-shot" pokušajima. Glavni pristup uvodi inovacije osmišljavanjem istraživačkih upita (promptova) uključuju tekst sa uputstvom za klasifikaciju bez primera i na osnovu nekoliko primera, omogućavajući jezičkom modelu da klasifikuje osećanja u pozitivne, negativne ili objektivne kategorije. Ova metodologija ima za cilj da pojednostavi analizu osećanja ograničavanjem odgovora, čime se povećava preciznost ...
    zero-shot, few-shot, sentiment, Serbian, Mistral model

  • Serbian NER&Beyond: The Archaic and the Modern Intertwinned

    Branislava Šandrih Todorović, Cvetana Krstev, Ranka Stanković, Milica Ikonić Nešić (2021)
    U ovom radu predstavljamo srpski književni korpus koji se razvija pod okriljem COST Akcije „Distant Reading for European Literary History” CA16204. Koristeći ovaj korpus romana napisanih pre više od jednog veka, razvili smo i učinili javno dostupnim Sistem za prepoznavanje imenovanih entiteta (NER) obučen da prepozna 7 različitih tipova imenovanih entiteta, sa konvolucionom neuronskom mrežom (CNN), koja ima F1 rezultat od ≈91% na test skupu podataka. Ovaj model je dalje ocenjen na posebnom skupu podataka za evaluaciju. Završavamo poređenje ...
    ... History”. We thank the stu- dents of the Department of Library and Infor- mation Sciences, Faculty of Philology, master students of Social Sciences and Computing at Multidisciplinary Graduate Studies and PhD students of Intelligent systems program (Uni- versity of Belgrade) for their help in evaluating the ...
    ... Entity Recognizer Using spaCy. In IEEE/WIC/ACM International Conference on Web Intelligence, WI ’19, page 337–341, New York, NY, USA. Association for Computing Machinery. Diana Santos, Eckhard Bick, and Marcin Wlodek. 2020. Avaliando Entidades Mencionadas na Co- leção ELTeC-por. Linguamática, 12(2):29–49 ...

  • A Data Driven Approach for Raw Material Terminology

    Olivera Kitanović, Ranka Stanković, Aleksandra Tomašević, Mihailo Škorić, Ivan Babić, Ljiljana Kolonja (2021)
    The research presented in this paper aims at creating a bilingual (sr-en), easily searchable, hypertext, born-digital, corpus-based terminological database of raw material terminology for dictionary production. The approach is based on linking dictionaries related to the raw material domain, both digitally born and printed, into a lexicon structure, aligning terminology from different dictionaries as much as possible. This paper presents the main features of this approach, data used for compilation of the terminological database, the procedure by which it has ...
    sirovine, rudarstvo, terminologija, rečnik, terminološka aplikacija, mobilna aplikacija, digitizacija, leksički podaci, korpusi, otvoreni povezani podaci
    ... aleksandra.tomasevic@rgf.bg.ac.rs (A.T.); mihailo.skoric@rgf.bg.ac.rs (M.Š.); ljiljana.kolonja@rgf.bg.ac.rs (L.K.) 2 Department for Informatics and Computing, University of Criminal Investigation and Police Studies, 11000 Belgrade, Serbia; ivan.babic@mup.gov.rs * Correspondence: olivera.kitanovic@rgf.bg ...
    ... aleksandra.tomasevic@regf.bg.ac.rs (A.T.); mihailo.skoric@ref.bg.ac.rs (M.S.); ljiljana-kolonja@ref.bg.ac.rs (L.K.) Department for Informatics and Computing, University of Criminal Investigation and Police Studies, 11000 Belgrade, Serbia; ivan.babic@mup.gov.rs * Correspondence: olivera.kitanovic@rgf.bg ...
    ... 2019; Kosem, T., Kuhn, Z., Correia, M., Ferreria, J.P., Jansen, M., Pereira, I., Kallas, J., Jakubíček, M., Krek, S., Tiberius, C., Eds.; Lexical Computing: Brno, Czechia, 2019; pp. 1–3. 5. Krek, S. Natural Language Processing and Automatic Knowledge Extraction for Lexicography. Int. J. Lexicogr. 2019 ...

  • INVENTS: A Hybrid Mine Ventilation Planning and Design System

    Lilić Nikola, Stanković Ranka, Obradović Ivan (2013)
    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 ...
    hybrid systems, mine ventilation, expert systems
    ... for Mining, Metallurgy, and Exploration, Inc. Littleton, Colorado, 2nd Ed. Vol.1., 1992. [4] Kowalik,J.S., (ed.), Coupling Symbolic and Numerical Computing in Expert Systems, North-Holland, Amsterdam, 1986. [5] Lilić,N., Stanković,R., and Obradović.I., Hibridni sistem za planiranje i analizu ventilacije ...