http://casopisi.junis.ni.ac.rs/index.php/FUAutContRob/issue/feedFacta Universitatis, Series: Automatic Control and Robotics2024-02-06T13:36:07+01:00Prof. Dr. Staniša Perićfuacred@junis.ni.ac.rsOpen Journal Systems<p style="text-align: justify;">The <em>Facta Universitatis. Series: Automatic Control and Robotics (FU Aut Cont Rob)</em> is an open access peer-reviewed international journal published by the University of Niš (Republic of Serbia). We publish high quality, refereed papers three times a year. Papers reporting original research or extended versions of the already published conference/journal papers are all welcome. Papers for publication are selected through peer reviewing to ensure originality, relevance, and readability. The aim of FU Aut Cont Rob is to publish peer reviewed research and review articles fast without delay in the developing field of engineering science and advanced technology. FU Aut Cont Rob hopes that Researchers, Research scholars, Academician, Industrialists, Consultancy etc. would make use of this journal publication for the development of science and technology.<br /><strong>Editor-in-Chief: Prof. Dr. Staniša Perić</strong></p><p>In order to create/register an account for submitting a paper, <strong>first time authors</strong> are to contact the Computer Support at <a href="mailto:mile@ni.ac.rs" target="_blank">mile@ni.ac.rs</a> stating your <strong>first name, last name, affiliation with the link,</strong> and your <strong>email</strong>. We will then send you back an email with your login parameters. Once you receive your parameters from us you will then be able to log in and begin article submission.</p>http://casopisi.junis.ni.ac.rs/index.php/FUAutContRob/article/view/12004CHATBOT APPLICATION AS SUPPORT TOOL FOR THE LEARNING PROCESS OF BASIC CONCEPTS OF TELECOMMUNICATIONS AND WIRELESS NETWORKS2024-02-06T13:35:57+01:00Mihailo Jovanovićmihailo.jovanovic@gov.rsKristijan Kukkukkristijan@gmail.comVladica Stojanovićvladica.stojanovic@kpu.edu.rsEdis Mehićemekic@np.ac.rsThere are several applications for Chatbots in education, as well as their contributions to mentoring in the learning process. Bots can assist teachers with staying up to date on new standards and evaluation methodologies. Bots can assist students in understanding tough subjects in a way that makes it appear as if they are being taught by another person. Chatbots serve as virtual assistants in the educational setting, improving efficiency or answering frequently asked questions. In this case, we work on the premise of investigating the potential of Chatbots as analytical tools for analyzing preferred types of learning material in a mobile learning environment, which leads to the acquisition of a proper level of knowledge on the topics of telecommunication and wireless networks.2024-02-06T13:35:57+01:00Copyright (c) 2024 Facta Universitatis, Series: Automatic Control and Roboticshttp://casopisi.junis.ni.ac.rs/index.php/FUAutContRob/article/view/12061INTELLIGENT COMPUTER VISION SYSTEM FOR SCORE DETECTION IN BASKETBALL2024-02-06T13:36:00+01:00Ivan Ćirićciric.ivan@masfak.ni.ac.rsMaša Miloševićmasa.milosevic@masfak.ni.ac.rsNikola Ivačkonikola.ivacko@masfak.ni.ac.rsAleksandra Cvetkovićaleksandra.cvetkovic@masfak.ni.ac.rsMilan Pavlovićmilan.pavlovic@akademijanis.edu.rsDušan Krstićnaisrobotics@gmail.comDevelopment of an intelligent computer vision system for Smart IoT basketball training and entertainment includes the development of a range of various subsystems, where score detection subsystem is playing a crucial role. This paper proposes the architecture of such a score detection subsystem to improve reliability and accuracy of the RFID technology used primarily for verification purposes. Challenges encompass both hardware-software interdependencies, optimal camera selection, and cost-effectiveness considerations. Leveraging machine learning algorithms, the vision-based subsystem aims not only to detect scores but also to facilitate online video streaming. Although the use of multiple cameras offers expanded field coverage and heightened precision, it concurrently introduces technical intricacies and increased costs due to image fusion and escalated processing requirements. This research navigates the intricate balance between achieving precise score detection and pragmatic system development. Through precise camera configuration optimization, the proposed system harmonizes hardware and software components.2024-02-06T13:36:00+01:00Copyright (c) 2024 Facta Universitatis, Series: Automatic Control and Roboticshttp://casopisi.junis.ni.ac.rs/index.php/FUAutContRob/article/view/12211REDUCTION OF GIBBS PHENOMENON IN EOG SIGNAL MEASUREMENT USING THE MODIFIED DIGITAL STOCHASTIC MEASUREMENT METHOD2024-02-06T13:36:02+01:00Jelena Đorđevic Kozarovjelena.djordjevic@elfak.ni.ac.rsMilan Simićmilan.simic@elfak.ni.ac.rsMilica Stojanovićmilica.stojanovic@elfak.ni.ac.rsDragan Živanovićdragan.zivanovic@elfak.ni.ac.rsThe method of digital stochastic measurement is based on stochastic analog-to-digital conversion, with a low-resolution A/D converters and accumulation. This method has been mainly tested and used for the measurement of stationary signals. This paper presents, analyses and discusses a simulation model development for an example of electrooculography (EOG) signal measurement in the time domain. Tests were carried out without adding a noise, and with adding a noise with various level of signal-to-noise ratio. For these values of signal-to-noise ratio, the mean and maximal relative errors are calculated and the significant influence of Gibbs phenomenon is noticed. In order to eliminate Gibbs phenomenon and decrease measurement error, a modified stochastic digital measurement method with overlapping measurement intervals has been developed and applied. On the basis of obtained results, the possibility of design and realization of an instrument with sufficient accuracy benefiting from the hardware simplicity of the method has been formulated. Also, the idea for the future research for developing a simulation model with a lower sampling frequency and implementing the proposed method is outlined.2024-02-06T13:36:02+01:00Copyright (c) 2024 Facta Universitatis, Series: Automatic Control and Roboticshttp://casopisi.junis.ni.ac.rs/index.php/FUAutContRob/article/view/12311NON-INTRUSIVE LOAD MONITORING USING CURRENT HARMONIC VECTORS AND ADAPTIVE FEATURE SELECTION2024-02-06T13:36:04+01:00Srđan Đorđevićsrdjan.djordjevic@elfak.ni.ac.rsMilan Simićmilan.simic@elfak.ni.ac.rsThe non-intrusive load monitoring method presented in this paper uses changes in current harmonic vectors to identify the operational state of appliances. The algorithm based on this feature has low complexity, but it may suffer from an information loss caused by a random fluctuation of the current harmonic vectors. In order to deal with this problem, we propose the algorithm which includes a stage which identifies and select a subset of relevant features in the set of available appliance features. The proposed load disaggregation algorithm is demonstrated through experiments on a representative set of household appliances.2024-02-06T13:36:04+01:00Copyright (c) 2024 Facta Universitatis, Series: Automatic Control and Roboticshttp://casopisi.junis.ni.ac.rs/index.php/FUAutContRob/article/view/12336ON A DEFUZZIFICATION PROCESS OF FUZZY CONTROLLERS2024-02-06T13:36:06+01:00Dušan Simjanovićdusan.simjanovic@metropolitan.ac.rsMarko Milojkovićmarko.milojkovic@elfak.ni.ac.rs<p class="Abstract">In this paper, innovations in the field of automatic control systems with fuzzy controllers have been considered. After a short introduction on fuzzy controllers, four different ways of a defuzzification process were introduced, and verified on the simulation of nuclear reactor fuzzy controller. The default Matlab fuzzy toolbox solution is timely most demanding, while two solutions based on the defuzzification on trapezoidal fuzzy numbers have the advantage in the process of crisp numbers calculation. Also, a solution based on the determination of the line dividing the obtained polygon into two parts of equal areas is presented. </p>2024-02-06T13:36:06+01:00Copyright (c) 2024 Facta Universitatis, Series: Automatic Control and Robotics