Lazar Kopanja

Journal of Circuits, Systems and Computers

Computer Simulation of Extended Neyman–Pearson Detector in Monostatic Pulse Radar

Goran Keković; Lazar Kopanja; Negovan Stamenković

https://doi.org/10.1142/S0218126622500220

An extended Neyman–Pearson detector based on the combination of a traditional matched and wavelet filter in pulsed monostatic radar was proposed in this paper. Its properties were compared with properties of the cell average constant false alarm radar detector in the presence of white noise. The properties of detectors were examined in the receiver operating characteristic curves, parameter space. It consisted of false detection rate and the rate of true positive detected targets. In order to investigate the influence of temperature, the new parameter space was constructed: the temperature versus the rate of true positive detected targets. The traditional Neyman–Pearson detector based on a matched filter was fully operational and superior in the temperature range between 290K and 350K. Below this temperature range, its performance is completely degraded. It has been shown that by adding a wavelet filter, it can extend this temperature range between 260K and 350K. In the temperature range, where all detectors are fully operational, extended and classic Neyman–Pearson detectors had better performance than constant false alarm radar detector in the receiver operating characteristic curves’ parameter space.

Airborne radar, electromagnetic reflection, radar cross-sections, radar detection, radar theory

M23

Computer Applications in Engineering Education

Personalisation methods in e-learning – A literature review

Lazar Kopanja; Vladimir Mikić; Miloš Ilić; Lazar Kopanja; Boban Vesin

http://dx.doi.org/10.1002/cae.22566

Over the years, personalisation in e-learning has evolved as a promising paradigm for matching learners' specific requirements. Although many literature reviews on personalised e-learning have been conducted, there are still voids and limitations in the comprehensive literature survey regarding how personalisation might occur in e-learning environments and benefit the teaching and learning process. In addition, no design guidelines, frameworks, or tools to guide its implementation exist, so practice can vary widely. The principal purpose of this literature review is to examine the subject, provide insights into the use of personalised techniques and systems in e-learning, and investigate its impact on the engagement and success of the students. This study applies methods of precise selection criteria to determine which of the selected publications have the strongest interconnection and relevance with the topic of e-learning personalisation. It also categorises the personalisation techniques employed by each identified system and highlights new perspectives and advances in the area.

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M22