Browsing International Conference "Electrical, Electronic and Information Sciences“ (eStream) by Faculty "Mechanikos fakultetas / Faculty of Mechanics"
Now showing items 1-10 of 10
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Characterization of k-Carrageenan and Iron (III) Oxide Based Piezoresistive Film by Microrobotic System
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)This paper represents continued development and investigation of a piezoresistive sensor based on k-carrageenan and iron (III) oxide with natural moieties of algae containing cellulose. Because of the cheapness of raw ... -
Deposition of Polydisperse Ultrafine Particles in a Gas Flow Using an Advanced Electro-Cyclone Apparatus
(2023 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 27, 2023, Vilnius, Lithuania, 2023)To achieve high efficiency in cleaning the gas flow from pollutants, more and more advanced technologies are required. The main problem of purification from particulate matter is the insufficient efficiency of precipitation ... -
Dynamic Characteristics Study of a Newly Developed Suppression System
(2023 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 27, 2023, Vilnius, Lithuania, 2023)The article presents experimental studies of a newly developed suppression system used in a firearm. Measurements of sound pressure and recoil of the developed suppression system are compared to typical suppressors available ... -
An Experimental Selection of Deep Neural Network Hyperparameters for Engine Emission Prognosis
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)This research presents results and discussion on prognostic deep learning models developed for the prediction of emission parameters of internal combustion engines. The resulting models were trained to predict various ... -
Investigation of Accuracy of Linear Motor Positioning Systems using Different Filters
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)Fast-paced competition in the industrial environment requires high-precision, high-performance systems that allow industry players to stay on top. Precise changes to the mechanical structure of the positioning system are ... -
Methodology of Low Orbit Satellites Signal Processing in the Electromagnetically Noisy Environment
(2023 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 27, 2023, Vilnius, Lithuania, 2023)This paper dedicated to the problematics of low orbit satellite data acquisition and processing. Efforts to improve the quality and reliability of receiving these signals in a noisy electromagnetic environment presented ... -
Predicting Solid Particle Levels in Diesel Generators using an Autoformer Neural Network
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)The period between 2010 and 2017 was marked by robust economic growth, which resulted in a notable rise in global energy consumption. Specifically, electricity usage surged by 19.4%, while fossil fuels experienced a 9.1% ... -
The Study of the Dynamics Limits of Gas Flow in the Connecting Channels of Agglomeration Apparatus
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)Ambient air quality is considered one of the indicators of a sustainable lifestyle. Traditional cleaning technologies based on gravitational, centrifugal, electrostatic, and other operating principles are not effective in ... -
Theoretical and Experimental Research of Device for Ultrafine Particulate Matter Agglomeration
(2023 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 27, 2023, Vilnius, Lithuania, 2023)This paper analyses the theoretical model of a newly designed and developed ultrafine solid-particle (USP) agglomeration device. The purpose of the device is to agglomerate particulate matter (PM) using acoustic excitation. ... -
Time Series Data Augmentation Methods for Deep Learning Models in Conveyor Belt Load Classification
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)This work explores time series data augmentation methods for deep learning and their application for conveyor belt tension signals. In this research, conveyor belt load data was collected and analyzed for five different ...