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Nikola Petrović, Lemana Spahić, Sanja Mandić, Platon Sovilj
Decoding Cognitive Processes in Arithmetic Tasks: An EEG-Based Convolutional Neural Network Model

– In this study, we introduce a novel system, developed in Python, for classifying cognitive processes based on EEG signals. The system employs a Convolutional Neural Network (CNN) trained on a dataset comprising 4-minute EEG recordings from 30 subjects. Each EEG sample processed for CNN input is 0.5 seconds long and is transformed into EEG power levels for each channel. The primary achievement of this research is the successful use of the CNN to classify whether a subject is performing a cognitive task well or poorly. The system's performance has been validated by experts in cognitive neuroscience and psychology, and its results have been benchmarked against state-ofthe-art studies in the field. This work represents a significant contribution to the field of EEG-based cognitive process classification, demonstrating the effective integration of machine learning techniques and neuroscience data.

Platon Sovilj, Dragan Pejić, Marjan Urekar, Sanja Mandić
Digital Stochastic Measurement and Industry 4.0

Digital stochastic measurement methods were developed in the past, with the focus onto “measurement over interval” strategy and use of stochastic dither signals. These methods obtained the increase of effective precision from low-precission A/D converters. Combination of simple analog hardware and state-of-art digital modules makes these methods suitable in many applications.Development of 4th industrial revolution (often named as Industry 4.0 concept) is extensivelly based on communication technologies advancement. This advancement enhanced microprocessor and integrated circuits based technology capabilities. The concept of digital stochastic measurement has many advantages which can be applied in Industry 4.0 concept.

Platon Sovilj, Sanja Mandić, Dragan Pejić, Đorđe Novaković, Marjan Urekar
Metrology and Capacity Building in Higher Education: Project Knowledge triangle for a low carbon economy (KALCEA)

The threat of climate change and the global challenges in the energy sectors, led the countries all over the world to consider investing in low-carbon energy projects. Hence, renewable energy technologies, storage technologies, smart electric energy grids, energy efficiency aspects and other similar issues, are some of the main aspects which can lead into the direction of large-scale decarburization. The Knowledge Triangle (KT) methodology points out the significance of jointly organized research, education and innovation processes, and importance of the linkages between these processes. The role of metrology infrastructure in project “Knowledge triangle for a low carbon economy” (acronym KALCEA), because appropriate metrology infrastructure is one of the crucial elements in KALCEA related innovation and technology aspects.

Sanja Mandić, Dragan Pejić, Đorđe Novaković, Marjan Urekar, Platon Sovilj
Phase measurement methods based on timer modules

In this article, the methods of measuring the relative phase difference between two simple periodic signals, based on timer modules, are considered, with an analysis of a measurement system, its following problems, and proposed solutions. The basic motivation for this research is the necessity for a very precise and accurate measurement of the relative phase difference between the voltage signal and current signal of a two-channel source, when there is a degradation of the phase in the output stage of a twochannel source. To compensate for the deviation of the measured and real phase angle of voltage and current at the output of a two-channel source, phase measurement can be realized with timer modules. This approach requires the conversion of relatively high voltage and current into periodic pulse (rectangular) waves compatible with working with timer modules, and this conversion is achieved by utilizing comparators. Although the timer approach gives excellent results in measuring time intervals, they are rarely applied in phase measurement due to several important problems that appear during the conversion of analog signals into digital signals - the impact of analog noise, an offset of the comparators, as well as asymmetric low-pass filters intended for noise reduction.

Jozef Kromka, Levente Fekete, Jan Saliga
Case study of NI G Web technology application for remote educational laboratory

Over the years, numerous web-based remote laboratories have been developed, providing a practical solution for offering hands-on training and education in various scientific fields, especially in online settings. This article outlines the initial design of a LabVIEWbased remote laboratory with a web interface created using a novel technology, National Instruments' (NI) G Web Development Software. In addition, a reservation system was implemented to manage access to the remote laboratory's web interface, allowing access only at specific times.

Antonia Juskova, Ondrej Kovac
The Design of Vehicle Surround View Monitor

In this paper, the technology and design of a driving assistant called the Surround View Monitor (SVM) are discussed. The procedures used to create a unified, bird's-eye view are presented, which involve stitching images captured by strategically placed cameras on the vehicle. The proposed algorithm was successfully implemented on a car model and involves various stages, including camera calibration, photometric and perspective correction, scale planar transformation, and final image stitching. The paper should be considered student work and it is positioned as the foundation for the authors' future scientific work in the field of automated parking systems.

Radivoje S. Popovic, Dragana Popovic Renella, Sasa Dimitrijevic, Bojan Milenkovic, Sasa Spasic
Introducing the SENIS SENCS1Dx: A Novel Current Sensor IC with Ultra-High Bandwidth and Exceptional Magnetic Resolution

This paper introduces a novel magnetic sensor IC for current sensing applications. The magnetic sensing function is based on the combination of the Hall effect devices for DC and low frequency fields, and an inductive coil for high frequency fields. The sensor IC incorporates a horizontal Hall device and a planar coil for the magnetic field perpendicular to the chip surface; and a vertical Hall device that can be combined with an external coil for the magnetic field parallel to the chip surface. The integrated signal processing electronics contains innovative circuits based on the switched capacitors, which combines the Hall and coil signals in a convenient, stable and reproducible way. The new sensor features the frequency bandwidth from DC to 1MHz and the equivalent magnetic field noise 40µTrms.

Daniel Belega, Gabriel Găspăresc
Power System Frequency and ROCOF Measurement by Means of Electronic Instrument

In this paper the accuracy of the power system frequency measurement achieved by means of two commonly used electronic instruments, which are a universal counter and a bench top digital multimeter, are investigated under steady-state conditions in the case of synthetized and real-life power system signals. Moreover, the accuracy of the Rate-Of-Change Of Frequency (ROCOF) estimates achieved by means of the frequency measurements is analyzed. The results obtained by both instruments are compared with each other. In addition, from the achieved measurements some remarks are drawn.

Andreas Blug, Kerstin Thiemann, Simon Philipp, Thomas Straub, Alexander Bertz
Quantum magnetometry with OPM: Novel applications in non-destructive testing?

Microfabricated optically pumped magnetometers (OPM) are a novel class of commercially available quantum magnetometers combining high sensitivity with high dynamic range. In non-destructive testing (NDT) this should enable new applications like measuring stray fields arising from small stress concentrations affecting local magnetization. In ferromagnetic steel the sensitivity of OPM is sufficient to measure magnetization from critical stresses for crack initiation in submillimeter volumes. However, OPM, as they are built today, require additional components like magnetic flux guides to control the measurement volume in NDT systems. The improvement of spatial resolution with such a flux guide is demonstrated using neighbored weld seams as an example for stress concentrations.

Paolo Durandetto, Bruno Trinchera, Danilo Serazio, Emanuele Enrico
A 10 V PJVS-based DC voltage realization at INRiM

A 10 V DC quantum voltage calibration system, based on a programmable Josephson voltage standard (PJVS) operating in liquid helium, has been recently set-up and tested at INRiM. The PJVS system is partly-commercial and is based on a 10 V superconductor-normal metal-superconductor (SNS) array of 69631 Josephson junctions operated on the first Shapiro steps. The goal is to establish a new highreliability quantum voltage standard for the DC calibration of solid-state voltage sources and digital voltmeters (DVMs). The paper reports the PJVS system description and first experimental testings and calibrations, preparatory to the future participation to international comparisons as final validation of the novel system.

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