Прегледај по Аутор "Mijić, Danijel"

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    An Improved Version of Student Attendance Management System Based on RFID
    (Faculty of Electrical Engineering, University of East Sarajevo, 2019) Mijić, Danijel; Bjelica, Ognjen; Durutović, Jelena; Ljubojević, Miloš
    Student attendance registration is one of the routine but time-consuming tasks of teaching staff at higher education institutions. Various technical solutions are implemented to alleviate the administrative burden and partly automate this task. Most of them include the use of one or more of the following - Radio Frequency Identification (RFID) technology, biometric solutions such as fingerprint and face recognition and mobile devices - mostly smartphones. In this paper, we present an improved version of our system based on RFID and some results of its use in a real environment. The main improvements have been made to a hardware component RFID reader and to a web-based application that is used by the faculty staff. Besides the usual features of similar systems related to student attendance, the system also includes features that enable integration with external systems, recording of necessary data regarding the work of teachers in class and generating of periodical reports on their work.
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    Comparison of different mathematical models for prediction of self-excited vibrations occurance in milling process
    (University of East Sarajevo,Faculty of Electrical Engineering, 2019) Košarac, Aleksandar; Mlađenović, Cvijetin; Zeljković, Milan; Šikuljak, Lana; Maksimović, Mirjana; Mijić, Danijel
    In modern production, despite the existence of other production methods, metal cutting still plays an important role. The performance of machine tools has a decisive role in terms of productivity and quality of production increase. Undoubtedly, productivity and quality of production are two mail requirements which are key elements to stay on top in a competitive market. One of the most influencing factor that affect the machine tools are vibrations. The most unwanted vibrations that can appear during metal cutting process are self-excited vibrations, which are one of the three kinds of mechanical vibration, free vibration, forced vibration, and self-excited vibration. When it comes to improving the performance of machine tools, the analysis of the appearance of self-excited vibrations and their isolation occupy a significant place. The aim of this paper derives from trends and limitations exists in metal production. The way to isolate the self-excited vibrations is to predict their occurrence by defining the stability lobe diagram. The paper presents two popular analytical methods for identifying stability lobe diagrams in milling, which shows the boundary between stable and unstable zone of machining operations, depending on the number of revolutions of the spindle and cutting depth. First considered method is Fourier series approach and second one id average tooth angle approach. Lather, both stability lobe diagrams were compared with results obtained experimentally.
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    Using ICT to Support Alumni Data Collection in Higher Education
    (Faculty of Teacher Education, University of Zagreb, 2014) Mijić, Danijel; Janković, Dragan
    Getting feedback from external stakeholders, especially alumni and employers, is a challenging task for higher education institutions. It is important for many reasons, such as providing information to policy makers, assessing quality of academic programmes, adapting academic programmes to labour market needs, and marketing purposes. Alumni and employer surveys are usually used as methods for collecting data from stakeholders. Research suggests that major problems in data collection are related to efficiency and effectiveness of data collection process. This paper presents a different method of data collection supported by ICT. A specially designed web portal equipped with advanced alumni tracking and communication features was developed and used for alumni data collection. The web portal was evaluated after a period of real operation by analyzing collected data and conducting an online survey. The evaluation results showed that the web portal could be used as effective, efficient, and useful tool for alumni data collection and communication between alumni and higher education institutions.