SciDAR
A Digital Archive of the University of Kragujevac
A digital archive of the University of Kragujevac contains easily searchable and up-to-date research results.
Primary research outputs collection available
- The institutional digital repository of the University of Kragujevac was set up in February 2020
- Since April 2023. portal eNauka harvests SCIDAR repository meta-data on regular basis
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- University of Kragujevac. Serbia
Recent Submissions
Stern-Gerlach Experiment’s Interpretations and Noether’s Theorem
(2011) Ristić, Vladimir M.; Radulović, Mirko M.; Miladinovic, Tatjana B.
In this paper we suggest that theories treating two interacting objects in a different manner (for instance electromagnetic field of a laser classically, and the interacting atom as a quantum object) should be called “mixed”. Mixed theories are not so rare in Physics. One just should look at the whole area of Atomic, Molecular and Optical Physics in which mixed theories are often used, and, also, theories including quantum object interacting with classical surroundings that are the subject of our present discussion: the field of Quantum decoherence, when applied to resolving the dilemma should classical trajectories be used in explaining the Stern-Gerlach experiment or not. Consequently we are proving one improved corollary to Noether’s theorem, stating that mixed theories are not supporting the law of conservation of angular momentum and spin, as they are not based on the isotropy of space-time.
Optimization of the box section of the main girder of the single-girder bridge crane by applying biologically inspired algorithms
(Elsevier BV, 2017-10) Savković, Mile; Bulatović, Radovan; Gašić, Milomir; Pavlović, Goran; Stepanović
The paper considers the problem of optimization of the box section of the main girder of the single-girder bridge crane. Reduction of the girder mass is set as the objective function. The constraint functions are the criteria of strength, local stability of plates, lateral stability of the girder, stiffness, dynamic stiffness, as well the constraints of cost effective design. Methods of the following biologically inspired algorithms were used for the optimization: Firefly Algorithm (FA), Bat Algorithm (BA) and Cuckoo Search algorithm (CS). The obtained results of optimization were compared with several solutions of single-girder bridge cranes, which verified the optimization method. The paper presents the advantages and weaknesses of the methods applied to the concrete solutions of single-girder bridge cranes.
Adaptive system for dam behavior modeling based on linear regression and genetic algorithms
(Elsevier BV, 2013-11) Stojanović, Boban; Milivojević, Milovan; Ivanović, Miloš; Milivojević, Nikola; Divac, Dejan
Most of the existing methods for dam behavior modeling require a persistent set of input parameters. In real-world applications, failures of the measuring equipment can lead to a situation in which a selected model becomes unusable because of the volatility of the independent variables set. This paper presents an adaptive system for dam behavior modeling that is based on a multiple linear regression (MLR) model and is optimized for given conditions using genetic algorithms (GA). Throughout an evolutionary process, the system performs real-time adjustment of regressors in the MLR model according to currently active sensors. The performance of the proposed system has been evaluated in a case study of modeling the Bocac dam (at the Vrbas River located in the Republic of Srpska), whereby an MLR model of the dam displacements has been optimized for periods when the sensors were malfunctioning. Results of the analysis have shown that, under real-world circumstances, the proposed methodology outperforms traditional regression approaches.
Research on the fauna of earthworms (Annelida: Oligochaeta) of Sokobanja.
(2021) Sekulić, Jovana; Stojanovic, Mirjana; Trakić, Tanja; Popovic, Filip; Cvijanović, Gorica
Genetic parameters of Triticum aestivum and Triticum durum for technological quality properties in Serbia
(Lithuanian Research Centre for Agriculture and Forestry, 2018-02-09) Branković, Gordana; Dodig, Dejan; Rosic, Vesna; Kandić, Vesna; Knezevic, Desimir; Đurić, Nenad; Živanović, Tomislav
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