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

The main purpose of this paper is the analysis of the electrical resistivity of solder joints depending on various surface finishes and on the number of reflow processes. The electrical resistivity was determined after 1, 2, 3, 5 and 6 reflow cycles as a replacement for the basic accelerated aging test. In this article, various surface finishes are compared by measuring electrical resistivity of solder joints between two soldering pads. The influence of standard surface finishes (ENIG, Lead HASL, Lead-free HASL, Cu, ImSn) with the new developed surface finish based on SnAg7 is also compared. Measurements show that the electrical resistivity is dependent on surface finish type and the thickness of the solder joint. The results prove that the new developed surface finish based on SnAg7 is stable against multiple reflows and comparable to the surface finish based on Au. The new developed surface finish based on SnAg7 can be recommended as a replacement for other conventional surface finishes.
</abstract>

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

Research Institute for Physical Chemical Problems of the Belarusian State University

Influence of Multiple Reflows and Surface Finishes on Solder Joint Resistivity

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

In this paper, research focused on speech activity detection using brain EEG signals is presented. In addition to speech stimulation of brain activity, an innovative approach based on the simultaneous stimulation of the brain by visual stimuli such as reading and color naming has been used. Designing the solution, classification using two types of artificial neural networks were proposed: shallow Feed-forward Neural Network and deep Convolutional Neural Network. Experimental results of classification demonstrated F1 score 79.50% speech detection using shallow neural network and 84.39% speech detection using deep neural network based on cross-evaluated classification models.
</abstract>

Neural Network Architecture for EEG Based Speech Activity Detection

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

This paper gives a review of recent results in the field of modeling and control of hybrid walking systems with a particular focus on the Compass Gait model. Since dynamic models of biped robots are hybrid in nature, the paper presents an overview of modeling the continuous and discrete dynamics of a hybrid system representing a walking robot. The paper briefly describes the design evolution in underactuated bipedal robots and presents several prominent prototypes, explains a number of related concepts and lists a variety of suitable control techniques.
</abstract>

Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics

Department of Industrial Engineering and Informatics, Faculty of Manufacturing Technologies with a seat in Prešov

Modeling, Analysis and Control of the Compass Gait Biped Robot and Extensions: A Review

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

This paper is focused on characterization of magnetic fluids (MFs) and experimental investigation of interfacial structural changes in transformer oil-based magnetic fluids (TOMFs) under the influence of electric field. Recently, such nanodielectric fluids have been proposed to be used as transformer liquid insulation as the addition of particles seeks to improve the dielectric and thermal properties of the base liquids. Ferrofluids typically respond to electric and magnetic fields and can be easy manipulated by such external fields. By mean of neutron reflectometry (NR), we show impact of the electric field intensity on magnetic nanoparticle aggregates in a dilute (1.8 vol %.) classical ferrofluid.
</abstract>

Department of Psyics, Faculty of Electrical Engineering and Informatics

Taras Shevchenko National University of Kyiv

Neutron Reflectometry Study of Transformer Oil-Based Magnetic Fluid Under Electric Field

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

Following up on the issue of programmer knowledge profiles, the present article deals with the generation of profiles for C language programmers. The main idea is based on static analysis of source codes, assembling the most significant data about their author. Such a profile can point out some abilities and habits of the programmer. The process of static analysis applies methods and techniques of size metrics, complexity metrics, and clone detection. We also present an experiment focused on novice programmers. The results show that knowledge profiles provide an easy way of novice programmers’ progress tracking. The main contribution is believed to be in the area of program comprehension.
</abstract>

Towards Program Comprehension: Knowledge Profiles for C Programmers

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

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

AHEAD OF PRINT

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

Volume 23 (2023): Issue 4 (December 2023)

Volume 23 (2023): Issue 3 (September 2023)

Volume 23 (2023): Issue 2 (June 2023)

Volume 23 (2023): Issue 1 (March 2023)

Volume 22 (2022): Issue 4 (December 2022)

Volume 22 (2022): Issue 3 (September 2022)

Volume 22 (2022): Issue 2 (June 2022)

Volume 22 (2022): Issue 1 (March 2022)

Volume 21 (2021): Issue 4 (December 2021)

Volume 21 (2021): Issue 3 (September 2021)

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. 