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

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>

Department of Technologies in Electronics, Faculty of Electrical Engineering and Informatics

Polymer Conductive Paste Formulation by Modified Ag2O Particles

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

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

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

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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 and informatics.Research results in the field of electronics, mechatronics, robotics, automotive electronics, materials engineering, SMART technologies in power engineering, lighting technology, intelligent and automated measuring, and control systems, belong to the first discipline, while issues from the area of informatics, artificial intelligence, machine learning, Big Data, virtual or augmented reality, applied mathematics, software systems, natural language processing, speech recognition, computer vision, cybersecurity, parallel and distributed architectures, communication systems, digital signal processing, Internet of Things or Industry 4.0. to the second.All articles are subject to a blind review (provided by subject experts) assessing the content, scientific and research knowledge, originality, methods, quality and suitability of image material, text structure and style, referencing, and the overall contribution of each article. Based on the review, the editor reserves the right to reject the paper or request the author adjust it. to comply with the review suggestions　There is no deadline for submitting articles; authors can send their contributions at anytime. Before submitting their article by means of the journal's email or the journal's ScholarOne system, the authors should ensure the article is written in the Word or TEX template available in the menu; to be found under the “For Authors” tab.  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. 

Acta Electrotechnica et Informatica

Volume 24 (2024): Issue 1 (March 2024)

Polymer Conductive Paste Formulation by Modified Ag₂O Particles

Thermoelectric Properties of Ductile Doped Ag₂S for Low Power Factor Application

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

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