In this article a multimedia computer-assisted learning (MCAL) system is presented. The major objective of this work was to investigate the potential of using such systems as tools for transferring instructional cours...
In this article a multimedia computer-assisted learning (MCAL) system is presented. The major objective of this work was to investigate the potential of using such systems as tools for transferring instructional course information through various types of computer media as opposed to the classic CAL systems. The philosophy and techniques employed to design the system are investigated. Usage of the implemented system and its merits have been illustrated through its application to teach engineering students and technicians the theory and concepts of marine radar. System design, implementation, test, and revision phases are presented and discussed.
Aims. To investigate the extreme variability properties of the TeV blazar S4 0954+65 using optical photometric and polarization observations carried out between 2017–2023 using 3 ground-based telescopes. Methods. We ...
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The paper presents a novel method of fault location and the calculation of transverse impedance of a fault in a damaged medium voltage cable. The method is based on the measurement of input impedance at one end of the...
The paper presents a novel method of fault location and the calculation of transverse impedance of a fault in a damaged medium voltage cable. The method is based on the measurement of input impedance at one end of the cable with an open and short circuit state at its other end with appropriately selected frequency. The obtained results were compared with those obtained by means of the reflectometer. The effectiveness of the method was verified numerically and experimentally.
Smart grids have become an emerging topic due to net-zero emissions and the rapid development of artificial intelligence (AI) technology focused on achieving targeted energy distribution and maintaining operating rese...
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Smart grids have become an emerging topic due to net-zero emissions and the rapid development of artificial intelligence (AI) technology focused on achieving targeted energy distribution and maintaining operating reserves. In order to prevent cyber-physical attacks, issues related to the security and privacy of grid systems are receiving much attention from researchers. In this paper, privacy-aware energy grid management systems with anomaly detection networks and distributed learning mechanisms are proposed. The anomaly detection network consists of a server and a client learning network, which collaboratively learn patterns without sharing data, and periodically train and exchange knowledge. We also develop learning mechanisms with federated, distributed, and split learning to improve privacy and use Q-learning for decision-making to facilitate interpretability. To demonstrate the effectiveness and robustness of the proposed schemes, extensive simulations are conducted in different energy grid environments with different target distributions, ORRs, and attack scenarios. The experimental results show that the proposed schemes not only improve management performance but also enhance privacy and security levels. We also compare the management performance and privacy level of the different learning machines and provide usage recommendations.
The paper presents stages of creating a measurement system for a light-weight electric vehicle of the Silesian Greenpower team. The aim of the work was to design a measuring device and mobile application for drivers a...
The paper presents stages of creating a measurement system for a light-weight electric vehicle of the Silesian Greenpower team. The aim of the work was to design a measuring device and mobile application for drivers and the team. The system itself consists of a measuring device, applications for Android and Windows. The purpose of the device was to provide information about the car in real time. The collected data is saved and displayed on the driver's phone. At the same time, the data is stored in a database, which allows the whole team to observe current parameters. Working of the measurement system has been described in the paper. Screenshots from individual applications, a specification of selected sensors and source code of the created applications have been presented. The summary of the project are graphs showing the smooth operation of the measurement system during races taking place on the Rockingham circuit in the UK.
In this paper authors will expose a work developed with the aim to submit an educational innovation project proposal to a competitive call for Educational Innovation Projects 2013-2015 of the Education Advisory Servic...
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In this paper authors will expose a work developed with the aim to submit an educational innovation project proposal to a competitive call for Educational Innovation Projects 2013-2015 of the Education Advisory Service of the Basque Country University (UPV/EHU, Spain). This project is being carried out in the computer Structure and computer Architecture sub-module of the Degree in computer Management and Information Systems Engineering of the University College of Engineering of Vitoria-Gasteiz, University of the Basque Country (UPV/EHU). The project is based on the active learning, more specifically, on cooperative learning. In this paper we have given deeper insight the dependencies between all the subjects belonging to the analyzed sub-module, which is composed of two subjects named computer Structure and computer Architecture. We have included in such analysis a previous subject named Principles of Digital Systems Design, which does not belong to that sub-module, but plays an important role in the acquisition of the knowledge and competencies of the two previously referenced subjects.
This work studies the sparse adaptive filter designs in the presence of impulsive disturbance for audio signal recovery. By using the sparse representation of desired signal and compressibility of impulsive disturbanc...
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