<abstract>
<title style='display:none'>Abstract</title>
In order to improve the efficiency of photovoltaic panels it is necessary to introduce the technique of Maximum Power Point (the technique of the MPPT). In the literature, several strategies are mentioned, among which the perturbation and observation (P&amp;O) algorithm. The aim of this work is to a simulation study in MATLAB of a photovoltaic panel connected to the network using DC-DC and DC-AC converters. DC Boost converter is checked by the MPPT command to adjust the output voltage of the photovoltaic panel and maximize the power produced by the photovoltaic panel. The PI controller is used to control the inverter three-phase to make the connection of the photovoltaic panel to a three-phase electrical network.
</abstract>

PI Controller for Controlling a Three-Phase Inverter of a PV System Connected to the Electrical Network

<abstract>
<title style='display:none'>Abstract</title>
In the case of real-time image processing, it is necessary to determine the computational complexity of the mathematical operations used. Reduction of computational complexity of 2D discrete convolution can be achieved by using a separable convolution. In this article, we focus on the application of a canny edge detector for different types of images. The main goal was to speed up the process of applying the kernel matrix to a given image using a separable convolution. By applying a separable convolution, we compared the duration of the Gaussian filter application, edges detection and the Hysteresis threshold level. Applying a separable convolution should speed up the duration of the 2D Gaussian filter as well as the edge detection. The main variable that interested us was time, but an important factor in the application of the filter and edge detection is the number of operating cycles. The use of a separable convolution should significantly reduce the number of computational cycles and reduces the duration of filter application and detection.
</abstract>

Canny Edge Detector Algorithm Optimization Using 2D Spatial Separable Convolution

<abstract>
<title style='display:none'>Abstract</title>
This paper serves as an overview of the research on particulate matter. This includes the sources of particulate matter, the composition of particles and, most importantly, negative impact on human health. The paper also deals with the methods, and instruments of measurement of particulate matter. Future development of measuring particulate matter is proposed, such as implementing Internet of Things and wireless sensor network technologies as well as performing the analysis of the measured data to find how other measured quantities affect the concentration of particulate matter.
</abstract>

Measurement of Particulate Matter: Principles and Options of Measurement at Present

<abstract><title style='display:none'>Abstract</title>
This article compares EVE-NG, a network emulation software, to other commonly used network simulation tools such as Cisco Packet Tracer and GNS3. EVE-NG’s features, benefits, and drawbacks are assessed in terms of system requirements, support platforms, web interface, console access, topology management, and advanced lab functionalities. EVE-NG is tested by the students in the real-world application, and feedback from a group of students is gathered regarding their satisfaction and suggestions for improvement. The results of this study show that EVE-NG provides a robust and versatile tool for simulating complex network scenarios, despite compatibility, reliability, and performance issues. It is concluded that EVE-NG has the potential to improve student learning outcomes in computer networks; however, ongoing development and refinement are necessary to meet user expectations and needs.
</abstract>

Interactive Network Learning: An Assessment of EVE-NG Platform in Educational Settings

<abstract>
<title style='display:none'>Abstract</title>
There are many methodologies that we can follow in software projects, including the traditional methods, at the forefront of which it was effective and with a good result, but with the constant increase in requirements resulting from the continuous and rapid development in science and technology and digital transformation; Traditional, highly structured project management methods lack flexibility, awareness of change, adaptability to it, and independence; It led to developing this methodology into an Agile methodology in the form it is currently known, which contributed to developing the team’s skills and knowledge. Our focus in this paper is a study on a data set affiliated with the Agile methodology by measuring effort using one of the well-known methods, monitoring the actual time and comparing it with the expected time to deliver a specific work, and also identifying the difficulties they face while working in different environments to build a comprehensive picture of the benefits and advantages of the Agile methodology.
</abstract>

A Study on the Effectiveness of Agile Methodology Using a Dataset

<abstract>
<title style='display:none'>Abstract</title>
In this article, we focus on improving the performance and efficiency of photovoltaic systems. The main objective is to study and compare the performance of different MPPT methods, and to find the most efficient method (in terms of convergence speed, the MPP point where the oscillation is reduced), so that the generator of maximum power supplied by the photovoltaic can be extracted.. The main points involved in this research are: Modeling of the photovoltaic system Simulation of four MPPT algorithms. The simulation results are obtained using simulink in matlab.
</abstract>

oussamaabdelfettah.mekkaoui@univ-tlemcen.dz

Comparative Study of Different MPPT Methods of a Boost Chopper of PV Generator

<abstract>
<title style='display:none'>Abstract</title>
This paper addresses the polymer conductive paste formulation based on modified silver oxide (Ag2O) particles. This paste is distinguished by the self-reduction of Ag2O particles to conductive Ag through a thermal process. It is suitable for the fabrication of conductive flexible structures. In addition to detailing the paste’s recipe, the paper provides a comparison and assesses the effect of modifying Ag2O particles through 5 hours of milling, comparing them with large-grain particles in their original state, focusing on screen printing technology. The investigation delves into the impact of milling on particle size and distribution using as well as to verify the purity of the homogeneously created powder. Samples are manufactured using an Ag2O -based paste, screen-printed on a flexible PET Mylar® A substrate, 50 µm thick. The printed patterns are cured at 120°C to 160°C for 10 minutes while monitoring the effect of vacuum and number of printed layers on sheet resistance. Sheet resistance measurements are conducted using a 4-point probe test method. The results suggest that wet planetary ball milling is a suitable technique for modifying Ag2O particles, rendering them suitable to produce polymer conductive paste. In addition, milling produces only silver oxide fine powder particles, according to XRD patterns.
</abstract>

Polymer Conductive Paste Formulation by Modified Ag2O Particles

<abstract>
<title style='display:none'>Abstract</title>
Wearable technologies encompass a diverse range of devices integral to our daily routines. Thermoelectric materials, known for their ability to convert heat differentials into electrical energy, are driving advancements in the automotive, aerospace, consumer electronics, and healthcare sectors. In automotive and aerospace, thermoelectric generators (TEGs) are utilized to enhance fuel efficiency and power onboard systems. In consumer electronics, thermoelectric coolers regulate temperature in devices like laptops and smartphones while also powering wearable technologies and sensors. Healthcare applications include wearable health monitors and drug delivery systems, utilizing thermoelectric devices for thermal management and diagnostics. Smartwatches, intelligent bracelets, sunglasses, and blood pressure sensors exemplify this trend, harnessing the potential of thermoelectric materials to generate power from temperature differentials. Ag2S is a ductile thermoelectric material with a potential use in thermoelectric devices. The aim of the article was to characterize the thermoelectric Ag2S -based material and describe the impact of chosen dopants on material properties. The Seebeck coefficient of pure Ag2S is -1051 μV.K−1, the Seebeck coefficient of Sb-doped material is −2.54 μV.K−1, and that of Ge-doped material is more positive at −87 μV.K−1. Material doped with Ge shows better thermoelectric properties.
</abstract>

Thermoelectric Properties of Ductile Doped Ag2S for Low Power Factor Application

<abstract>
<title style='display:none'>Abstract</title>
The rapid evolution of unmanned aerial vehicles (UAVs), has significantly advanced their capabilities, enabling complex operations that can be enhanced through swarm intelligence. This paper introduces a drone swarm simulator designed to model, analyze, and optimize the cooperative behaviors of drone swarms in diverse operational environments to provide a realistic and scalable platform for the simulation of drones, incorporating real-world physics, communication constraints, and autonomous decision-making algorithms.
</abstract>

Advancing Drone Swarm Simulation: A Comprehensive System for Real-Time Control and Dynamic Interaction

<abstract>
<title style='display:none'>Abstract</title>
This work deals with digital image processing using the steganography technique in real life. Various steganography techniques face data authentication, data security, and copyright issues. Due to the fact that the problem of data security is currently very topical, these techniques are often sought after. This is related to the constant development of new algorithms that provide solutions that will safely hide the secret message in the image and at the same time will be resistant to various types of attacks. The motivation for writing this work lies in the technique of representing a secret message using a Quick Response code. Later in this work is comparison between our results and results of approach made by scientific community, which works with data hiding within steganographic principles. The secret message is written in the least significant bit plane of the cover image, which ensures that the modification of the image cannot be detected by the naked eye. The proposed solution is evaluated by mathematical quality assessment parameters Peak signal-to-noise ratio, Mean squared error, Normalized cross-correlation and Structural similarity index.
</abstract>

The Influence of Steganographic Methods and QR Code Resolutions on Data Hiding in Cover Images

<abstract>
<title style='display:none'>Abstract</title>
This article deals with the issue of usability of an exploratory data analysis tool in the field of medicine. The text portion contains a description of the methods and the visualization procedure. It analyses the current state on usability, medical data visualization and presents the benefits of visualization tools. The goal of this research was to design and implement a suitable visualization tool for the provided dataset, which is the result of cooperation between Technical university of Košice and East Slovak Institute of Heart and Vascular Diseases (VÚSCH) and presents cardiovascular disease data. The resulting web application aimed to provide potential users with an overview of cardiovascular diseases and the influence of their lifestyle on the assumption of such a disease, and for experts to provide different forms of viewing the given data, as well as to facilitate their work. The application was then tested for usability in two iterations where corrections and improvements were made based on the given feedback. Thanks to this iterative procedure and careful reflection of the user feedback the application received endorsement as a valuable tool by the expert evaluator.
</abstract>

Usability of Medical Data Analysis Tool

<abstract>
<title style='display:none'>Abstract</title>
The paper describes methods of simulation conduction and switching losses of power semiconductors in MATLAB/Simulink. The comparison of simulation results for Infineon’s semiconductor with PLECS Standalone simulation is presented. The results show that the simple ideal switching model of the IGBT in Simulink gives similar results to the PLECS simulation with the Infineon PLECS library.
</abstract>

Power Semiconductor Losses Simulation Capabilities in Matlab/Simulink

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Acta Electrotechnica et Informatica

 The journal focuses on the publishing of original scientific and professional articles, ones not previously issued in journals, from the research areas of electrical engineering...

 The journal focuses on the publishing of original scientific and professional articles, ones not previously issued in journals, from the...

Acta Electrotechnica et Informatica

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