<abstract xmlns="http://www.w3.org/1999/xhtml">

This case study presents a possible solution for monitoring wind induced waves in shallow water lakes. Currently widely used instruments for measuring water waves are expensive due to extreme environmental requirements and the technology used. The use of IoT solutions is not common. Water wave measurements require low power consumption and medium to long range communication. Due to the network specifications, it is not obvious that LPWAN technologies are suitable for transmitting the amount of data generated. For the devices developed, LoRaWAN was investigated as the cheapest and 5G as the most reliable network solution, with attention to energy consumption.
</abstract>

IoT Sensor Network Solution for Monitoring Wind Induced Waves in Shallow Water

<abstract xmlns="http://www.w3.org/1999/xhtml">

This review paper centers on strategies employed for location determination in regions lacking GPS signals. It primarily explores a range of vision-based methods tailored for this purpose, categorizing them accordingly. The article delves into the utilization of optical flow for feature extraction-based Visual Odometry (VO) and delves into advanced optical flow estimation methods that hinge on deep learning techniques. It compares the efficacy and practical applications of frequently utilized visual localization methods while also checking the efficiency of previous researches by reapplying the algorithms to new data and comparing the results.
</abstract>

A Review of Using Visual Odometery Methods in Autonomous UAV Navigation in GPS-Denied Environment

<abstract xmlns="http://www.w3.org/1999/xhtml">

This study explores the enhancement of wireless communication through the integration of OFDM with MIMO and advanced techniques like COFDM, adaptive MIMO, and beamforming. It evaluates a 2×2 and 4×4 MIMO-DWPT-COFDM system, considering modulation (BPSK and QPSK) and equalization (ZF-SIC and MMSE-SIC) over a Rayleigh fading channel. MATLAB results reveal that more antennas, BPSK modulation, and MMSE-SIC equalization significantly improve BER performance. Specifically, for a BER of 10−4, the 2×2 MIMO system requires <italic>E</italic>b / <italic>N</italic>0 values of 10.4 (MMSE-SIC) and 11.4 (ZF-SIC), while the 4×4 MIMO system needs 5.5 (MMSE-SIC) and 5.9 (ZF-SIC). These findings emphasize the need for thoughtful system design and parameter optimization in achieving reliable and efficient wireless communication.
</abstract>

Electromagnetism, Photonics and Optronics Laboratory (LEPO)

University Center Nour El Bachir of El Bayadh

Algeria, Electromagnetism, Photonics and Optronics Laboratory (LEPO)

University of Belhadj BOUCHAIB, Ain-Temouchent

Algeria, Telecommunication Laboratory (LTT)

Performance Analysis of Combining Beamforming and ZF/MMSE-SIC Equalization Techniques for MIMO DWPT-COFDM Systems

<abstract xmlns="http://www.w3.org/1999/xhtml">

This paper presents a model to predict Electrical Power Generator (EPG) faults. The fault tree (FT) model is developed and used to help maintenance engineers in fault analysis procedure of this rotating machine. By identifying the main, intermediate and basic events it’s possible to construct the FT with logical reasoning. The top dreaded event is defined. By using a Bayesian network (BN) as a complementary tool, fault prediction of the EPG becomes possible and easy. By using the developed BN, the probability of occurrence of the top event (EPG failure) is calculated. Also, by this approach, we can process complex information that causes system faults in an easy and simple way. The essential elements to do this analysis are the reliable and good exploitation of the information previously stored in the system. The use of the BN in combination with the FT gives the possibility of qualitative and quantitative analysis, diagnosis, and prediction of faults from the same Bayesian model. The flexibility of the proposed BN model in this paper allows better and precise decision making. Also, priorities regarding maintenance job are defined and resources are a priori prepared.
</abstract>

Laboratory of Research on Electromechanical and Dependability

Electrical Power Generator Faults Analysis Using Fault Tree and Bayesian Network

<abstract xmlns="http://www.w3.org/1999/xhtml">

This paper focuses on a new investigation of the rheological properties of the nanocomposites of surface charged superparamagnetic iron oxide nanoparticles with polyethylene glycol. Both studied nanocomposites showed the steady-state behavior at 20 °C and 40 °C. Moreover, the increase of viscosity versus shear strain, shear rate or time for the nanocomposites was small at 60 °C. The effect of the coating of nanoparticles with the polymer was comparable for different nanocomposites. The data presented in this paper can provide the required information for the preparation of assemblies of nanocomposites with polymers.
</abstract>

Comparative Rheological Investigation of Nanocomposites of Surface Charged Superparamagnetic Iron Oxide Nanoparticles with Polyethylene Glycol

<abstract xmlns="http://www.w3.org/1999/xhtml">

The conditions for stoichiometric thin film deposition by reactive magnetron sputtering include the existence of a given ratio between the flux of the sputtered metallic atoms and the flux of the reactive gas molecules on the surface of the substrate. To meet this condition, a relationship based on the Berg model is formulated between the partial pressure of the reactive gas, the target coverage, and the sputtering current density. Given that the target coverage can be estimated online from the sputtering voltage, it is possible to create a control structure where the reactive gas partial pressure is controlled to obtain stoichiometric thin film deposition. Simulation results are presented based on the dynamic model of the sputtering process.
</abstract>

John von Neumann Faculty, Óbuda University

Department of Electrical Engineering, Faculty of Technical and Human Sciences

Sapientia-Hungarian University of Transylvania

Reactive Magnetron Sputtering Control Based on an Analytical Condition of Stoichiometry

<abstract xmlns="http://www.w3.org/1999/xhtml">

In this work, computational fluid dynamics (CFD) was used to investigate the effect of the bottom shape on the flow field and mixing characteristics in an agitated vessel stirred by six-pitched blade turbine (PBT6). The simulation was based on the resolution of the Navier-Stokes equations using standard k-ε turbulence model. Hydrodynamic behavior of the stirred vessel with four types of bottom shapes was investigated, a flat bottom and three different semi-elliptical bottoms. The results show reasonably satisfactory agreement with the experimental data. The CFD simulation also showed that the semi-elliptical bottom shapes had a significant influence on the velocity profiles and on the turbulent kinetic energy distributions of the local flow generated at the bottom region of the vessel.
</abstract>

Department of Mechanical Engineering, Faculty of Mechanics, Mechanical Apply Laboratory

University of Sciences and Technology of Oran Mohamed Boudiaf (USTO-MB)

Faculty of Mechanics, Gaseous Fuels and Environment Laboratory

Numerical Study of Bottom Shape Effect on the Mixing for Stirred Tank

<abstract xmlns="http://www.w3.org/1999/xhtml">

Optimization is one of the best techniques used in industries to assess the quality of the drilling machine at a lower cost. This work is based on the rotary drilling mode with different methods based on the physicomechanical properties of the rock, machine setting parameters, and tool geometry parameters. The aim of the research presented is to develop quality of methods for determining the parameters of the rational operating regime of the rotary drilling machine during its operation in geological and mining conditions.
</abstract>

Development of a Methodology for Assessing the Quality of Drilling Machines

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Acta Universitatis Sapientiae, Electrical and Mechanical Engineering

 Series Acta Universitatis Sapientiae, Electrical and Mechanical Engineering surveys in various fields of Electrical and Mechanical Engineering. All papers are peer-reviewed. The language of the journal is English.  Why submit Strict review, open access, various fields covered.  Why subscribe and read Series Acta Universitatis Sapientiae, Electrical and Mechanical Engineering publishes only original papers and surveys in various fields of Electrical and Mechanical Engineering. All papers are peer reviewed. Rejection Rate   40%   Archiving  Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.  Plagiarism Policy  The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process. 