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    <title>SCIDAR Collection:</title>
    <link>https://scidar.kg.ac.rs/handle/123456789/8211</link>
    <description />
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        <rdf:li rdf:resource="https://scidar.kg.ac.rs/handle/123456789/23195" />
        <rdf:li rdf:resource="https://scidar.kg.ac.rs/handle/123456789/23173" />
        <rdf:li rdf:resource="https://scidar.kg.ac.rs/handle/123456789/23156" />
        <rdf:li rdf:resource="https://scidar.kg.ac.rs/handle/123456789/23153" />
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    <dc:date>2026-07-26T03:20:58Z</dc:date>
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  <item rdf:about="https://scidar.kg.ac.rs/handle/123456789/23195">
    <title>Upravljanje Nivoa u Rezervoaru Pomoću PID Regulatora Razlomljenog Reda</title>
    <link>https://scidar.kg.ac.rs/handle/123456789/23195</link>
    <description>Title: Upravljanje Nivoa u Rezervoaru Pomoću PID Regulatora Razlomljenog Reda
Authors: Prodanović, Saša; Dubonjic, Ljubisa; Rajaraman, Janani
Abstract: Upravljanje nivoa tečnosti u protočnom rezervoaru veoma je čest zadatak u proizvodnim sistemima. Brojni su primjeri gdje je neophodno nivo održavati na zadatoj vrijednosti cijelim tokom funkcionisanja sistema, kao na primjer: u sistemu za centralno hlađenje SHP sredstva, za galvanizaciju, mašinama za pranje dijelova i sl. Proporcionalno-integralno-diferencijalni (PID) regulatori i njihove kraće izvedbe i u ovom slučaju daju dobre rezultete. U cilju daljeg unaprjeđenja u ovom radu su istražene mogućnosti primjene PID regulatora razlomljenog reda. Istraživanje je realizovano pomoću simulacija na matematičkim modelima rezervoara kao procesa sa dva ulaza i dva izlaza, koji su se pokazali reprezentativni u prethodnim radovima iz literature.</description>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://scidar.kg.ac.rs/handle/123456789/23173">
    <title>Sensor fault estimation in Markov jump linear system: A Bayesian perspective</title>
    <link>https://scidar.kg.ac.rs/handle/123456789/23173</link>
    <description>Title: Sensor fault estimation in Markov jump linear system: A Bayesian perspective
Authors: Yang, Yichao; Xu, Chen; Tao, Hongfeng; Yang, Huizhong; Stojanović, Vladimir
Abstract: Existing fault estimation methods for Markov jump linear systems, particularly the interacting multiple model approaches, heavily rely on pre-defined fault model banks. This reliance renders them ineffective against faults with unknown or time-varying dynamics. Conversely, emerging Bayesian estimation approaches are typically confined to single-mode systems and fail to accommodate stochastic mode switching. To bridge this gap, this paper proposes a novel Bayesian framework for the real-time joint estimation of system states, hidden modes, and mode-dependent faults without requiring prior fault dynamic knowledge. In particular, an adaptive fault update mechanism based on innovation moments is introduced to address the trend discontinuity of fault signals caused by mode transitions, a challenge not addressed by standard recursive Bayesian estimators. Results from a numerical simulation example and a fermentation process simulation case study show improved robustness and estimation accuracy over traditional methods. The adaptive fault update also tracks abrupt fault changes while reducing fluctuations when the fault signal varies slowly.</description>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://scidar.kg.ac.rs/handle/123456789/23156">
    <title>Saturated Linear Unit as an Universal Symmetric Activation Function for Deep Learning</title>
    <link>https://scidar.kg.ac.rs/handle/123456789/23156</link>
    <description>Title: Saturated Linear Unit as an Universal Symmetric Activation Function for Deep Learning
Authors: Lutovac Banduka, Maja; Milicevic, Vladimir; Franc, Igor; Zdravković, Nemanja; Dimitrijević, Nikola
Abstract: There is a number of symmetric activation functions used in artificial neural networks for deeplearning. In this paper, we propose a universal activation function based on the Saturated Linear Unit(SaLU) that can be used instead of any known symmetric activation function. It is not necessary forclassification  tasks  to  have  an exact  calculation  of  the  probability  of  detected  classes.  Theclassification decision is made based on the highest probability for the input values. We propose, asa proof of concept, that the two most commonly used hyperbolic tangent and algebraic sigmoidactivation functions can be effectively replaced by SaLU by choosing a single parameter. Moreover,the  theoretical  step  function  can  also  be  replaced  by  SaLU  for  a  wider transition  range.  Allderivations use symbolic processing. Also shown is a visualization of the range of inputs that resultin  a  suitable  classification.  This  can  help  scientists  and  programmers  design  complex machine learning algorithms and understand how deep learning algorithms work.</description>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://scidar.kg.ac.rs/handle/123456789/23153">
    <title>Design and calculation of test stand for testing personal fall protection equipment according to EN 364</title>
    <link>https://scidar.kg.ac.rs/handle/123456789/23153</link>
    <description>Title: Design and calculation of test stand for testing personal fall protection equipment according to EN 364
Authors: Bižić, Milan; Petrović, Dragan
Abstract: This paper presents the design and calculation of a test stand intended for testing personal fall protection equipment in accordance with the requirements of the international standard EN 364. The objective of the study was to develop a reliable, safe, and structurally adequate test stand capable of performing both static and dynamic tests on components of fall arrest systems, including different types of personal fall protection systems, fall-arresters, anchor lines, safety harnesses, lanyards, energy absorbers, and connecting elements. The paper analyzes the requirements of EN 364 and defines the functional and structural characteristics of the test stand. Particular emphasis was placed on the static strength of the supporting structure, which was designed to withstand the maximum prescribed test forces without permanent deformation or structural failure, ensuring an adequate safety factor under the most unfavorable loading conditions. Furthermore, the dynamic performance of the test stand was analyzed through the evaluation of its natural frequencies, in accordance with standard requirements. The obtained calculation results confirm that the designed test stand fully complies with the requirements of EN 364 and enables accurate, reliable, and safe testing of personal fall protection equipment, thereby contributing to improved occupational safety and compliance with relevant standards.</description>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
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