Various operations at sea, such as maintaining a constant ship position and direction, require a complex control system. Under such conditions, the ship needs an efficient positioning technique. Dynamic positioning (DP) systems provide such an application with a combination of the actuators mechanism, analyses of crucial ship variables, and environmental conditions. The natural forces of […]
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Structural Analysis of Factual, Conceptual, Procedural, and Metacognitive Knowledge in a Multidimensional Knowledge Network
Discovering the most suitable network structure of the learning domain represents one of the main challenges of knowledge delivery and acquisition. We propose a multidimensional knowledge network (MKN) consisting of three components: multilayer network and its two projections. Each network layer constitutes factual, conceptual, procedural, or metacognitive knowledge within the domain of databases as a […]
Active Player Detection in Handball Scenes Based on Activity Measures
The scientific article “Active Player Detection in Handball Scenes Based on Activity Measures” by M. Pobar, M. Ivašić-Kos was published in open access in the journal MDPI Sensors, in the special issue “Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments ”, Sensors 2020, 20 (5), 1475 and is available […]
Netokracija on WiDS 2020
Netokracija on the participation of AIRI members Sanda Martinčić-Ipšić and Marina Ivašić Kos in Women in Data Science 2020 conference in Zagreb.
WiDS Conference 2020
Sanda Martinčić-Ipšić participated in the round table on past, present and future of data science at Women in Data Science Conference 2020 in Zagreb from 04-05.03.2020.
WiDS 2020 Conference
Marina Ivasic-Kos has participated in the 3rd edition of Women in Data Science – WiDS 2020 conference and presented the results of the RAASS project: Automatic recognition and analysis of the activities of athletes in handball scenes. More about the event was published at https://www.netokracija.com/treci-women-in-data-science-zagreb-164990
Improved Power System State Estimator With Preprocessing Based on the Modified Intersection of Confidence Intervals
The paper proposes a power system state estimator upgraded by the improved relative intersection of confidence intervals (RICI) algorithm combined with the local polynomial approximation (LPA). In the proposed approach, a novel LPA-RICI denoising technique is utilized to preprocess the input measurements. The accuracy of the adaptive, data-driven LPA-RICI based state estimator was tested on […]
Application of Koopman-Based Control in Ultrahigh-Precision Positioning
Ultra-high precision positioning devices are of outmost importance in microsystems’ technologies and precision engineering. The frictional disturbances of mechanical elements in relative motion often limit their positioning performances. If nanometric positioning precision and accuracy are aimed for, frictional disturbances have thus to be identified, modeled and compensated for via appropriate control algorithms. Suitable experimental set-ups […]
Paper presented at ICPRAM 2020
Teo Manojlović presented a paper titled “Using DICOM Tags for Clustering Medical Radiology Images into Visually Similar Groups”, at the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), Valletta, Malta, February 22-24, 2020. http://dx.doi.org/10.5220/0008973405100517
Adaptive Filtering and Analysis of EEG Signals in the Time-Frequency Domain Based on the Local Entropy
The brain dynamics in the electroencephalogram (EEG) data are often challenging to interpret, specially when the signal is a combination of desired brain dynamics and noise. Thus, in an EEG signal, anything other than the desired electrical activity, which is produced due to coordinated electrochemical process, can be considered as unwanted or noise. To make […]
