One of the main drawbacks of delivering new teaching lessons in e-learning systems is the lack of motivation for using those systems. This paper analyses which elements of computer games for learning mathematics have a beneficial effect on intrinsic motivation and give students continuous feedback in order to improve the learning process. While the control […]
Prof. Dr. Sc. Ana Mestrovic participated at the Panel on perspectives and real-life applications of AI organized by IEEE Technology and Engineering Management Society presenting the Department for Informatics and AIRI Center.
The digital revolution facilitates innovation models that generate new markets and business models. Together with Internet, it has opened up a vast array of new possibilities. Latest reappearance of the artificial intelligence has created further potentials and types of market participation. Artificial intelligence is understood as a cutting-edge technology and a key-driver of transition of […]
Prof. dr. sc. Štefan Korečko from the Department of Computers and Informatics, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Slovak Republic, held an interesting talk entitled “Verified Software Development With B-Method” on 5th of May, 2021.
Kratki opis projekta Alarm automatika je u suradnji s Tehničkim fakultetom u Rijeci kroz istraživačko razvojne aktivnosti u području ekologije i sigurnosti osmislila proizvod koji je u isto vrijeme namijenjen zaštiti domova, poslovnih prostora te ostalih objekata i povećanju energetske učinkovitosti. ABsistemDCiCloud predstavlja inovaciju na tržištu koja se temelji na razvijenom softveru, a koja će […]
In this paper, we investigate the possibilities for augmenting interaction around the mobile device, with the aim of enabling input techniques that do not rely on typical touch-based gestures. The presented research focuses on utilizing a built-in magnetic field sensor, whose readouts are intentionally affected by moving a strong permanent magnet around a smartphone device. […]
This paper presents the application of machine learning (ML) methods in setting up a model with the aim of predicting the energy efficiency of seagoing ships in the case of a vessel for the transport of liquefied petroleum gas (LPG). The ML algorithm is learned from shipboard automation system measurement data, noon logbook reports, and […]
The real-life signals captured by different measurement systems (such as modern maritime transport characterized by challenging and varying operating conditions) are often subject to various types of noise and other external factors in the data collection and transmission processes. Therefore, the filtering algorithms are required to reduce the noise level in measured signals, thus enabling […]
Prof. dr. sc. Todorka Glushkova from the Faculty of Mathematics and Informatics, Paisii Hilendarski Plovdiv University, Plovdiv, Bulgaria, held an interesting presentation on “Cyber-Physical Production Systems (CPPS)” on the 14th of April, 2021. The presentation also addressed her work in the field and research interests with potentials for further collaboration.
In this paper, we present an approach to the reconstruction of signals exhibiting sparsity in a transformation domain, having some heavily disturbed samples. This sparsity-driven signal recovery exploits a carefully suited random sampling consensus (RANSAC) methodology for the selection of a subset of inlier samples. To this aim, two fundamental properties are used: A signal […]