The comparative thermography analysis of temperature during machining by turning was presented. For the tests cast iron EN-GJL 250 and stainless steel 1.4301 were used. The machining by turning was performed with the TNMG 220408HS PC9030 and TNMA 220208 NC6210 cutting inserts design for machining that kind of materials. The temperature was measured on the machined material ...

The paper discusses the features of the implementation of a digital decision-making platform for evaluating educational content as part of a stakeholder-driven digital educational ecosystem. The authors propose a methodology of business process digitalization that considers a three-stage quality evaluation of educational resources regarding their content, as in traditional ...

Eddy current loss (ECL) in underwater wireless power transfer (UWPT) systems can significantly affect the efficiency of underwater vehicles. This study provides comprehensive modeling of the eddy current effects in circular planar coils. The analytical model has been extended to any number of transmitter and receiver coils’ turns exposed to different conductive regions, providing ...

In this paper, we propose a new parametrization of dark energy based on the Om(z) diagnostic tool behavior. For this purpose, we investigate a functional form of the Om(z) that predicts the popular dark energy dynamical models, namely phantom and quintessence. We also found the famous cosmological constant for specified values of the model’s parameters. We employed the Markov ...

Experimentally obtained magnetic signals for a Fe–O nanocrystalline press compact were fitted using a phenomenological approach. This method considers the individual properties of microvolumes and their statistics. It also helps avoiding complex calculations while focusing on local fundamental magnetic characteristics without considering internal processes. Currently, the precise ...

Among the many problems in machine learning, the most critical ones involve improving the categorical response prediction rate based on extracted features. In spite of this, it is noted that most of the time from the entire cycle of multi-class machine modeling for sign language recognition tasks is spent on data preparation, including collection, filtering, analysis, and ...

The paper studies the problems of developing interconnected models of aggregates of complex chemical-technological systems (CTS) in conditions of scarcity and fuzziness of the initial information. Since the known methods of model development do not allow for solving these problems, we propose a systematic method that allows the development of a package of models of interconnected ...

Electronic voting, based on cryptographic protocols and blockchain technology, represents an advanced method for ensuring the security, transparency, and reliability of electoral processes. The scientific research presented in this article is devoted to the analysis of trends and advanced technologies in the field of electronic voting. The authors propose a systematic mapping ...

Chalcopyrites are ternary semiconductor compounds with successful applications in photovoltaics. Certain chalcopyrites are well researched, yet others remain understudied despite showing promise. In this study, we use ab initio methods to study CuGaS2 , AgGaS2 , and CuGaSe2 chalcopyrites with a focus on their less studied solid solutions. We use density functional theory (DFT) ...

Gallium oxide β-Ga2 O3 is an important wide-band gap semiconductor. In this study, we have calculated the formation energy and transition levels of oxygen vacancies in β-Ga2 O3 crystal using the B3LYP hybrid exchange-correlation functional within the LCAO-DFT approach. The obtained electronic charge redistribution in perfect Ga2 O3 shows notable covalency of the Ga-O bonds. ...