Now showing items 1-11 of 11

    • Development and Research of an Acoustic Chamber for Agglomeration of Ultrafine Particles 

      Petrauskaitė, Lina; Matijošius, Jonas; Vainorius, Darius; Kilikevičius, Artūras; Borodinas, Sergejus; Kilikevičienė, Kristina (2022 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 21, 2022, Vilnius, Lithuania, 2022)
      The paper analyses the theoretical model of a developed acoustic chamber for acoustic particle agglomeration. The acoustic chamber is used in the particle agglomeration process. An experimental stand was created to validate ...
    • Development and Research of Miniature High Precision Modular Rotary Encoder Kit Based on Dual Optical Sensors 

      Gurauskis, Donatas; Kilikevičius, Artūras; Mažeika, Dalius (2023 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 27, 2023, Vilnius, Lithuania, 2023)
      Open type modular rotary encoders are the most suitable choice for applications with limited installation space. The non-contact operating principle and bearing-free mechanical construction allow to design a compact, small ...
    • Dynamic Characteristics Study of a Newly Developed Suppression System 

      Giedraitis, Vytautas; Kilikevičienė, Kristina; Vainorius, Darius; Kilikevičius, Artūras (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 

      Žvirblis, Tadas; Matijošius, Jonas; Kilikevičius, Artūras (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 ...
    • A Hybrid Index Grating for Finer Installment Tolerance of Exposed-Type Linear Encoder 

      Lu, Xinji; Kilikevičius, Artūras; Yang, Fan; Xu, Jia (2022 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 21, 2022, Vilnius, Lithuania, 2022)
      With the development of industrial 4.0, higher accuracy is required for optical linear encoder which serves as an important type of displacement sensor. The mounting error is a great impediment to this quest, especially ...
    • Investigation of Accuracy of Linear Motor Positioning Systems using Different Filters 

      Urbonas, Edgaras; Kilikevičius, Artūras; Savickas, Julius; Valaitis, Danielius (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 ...
    • Investigation of Dynamic Processes of Linear Motor Positioning Systems 

      Urbonas, Edgaras; Kilikevičius, Artūras; Petrauskaitė, Lina; Kavaliauskas, Vilius (2022 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 21, 2022, Vilnius, Lithuania, 2022)
      Rapid competition in an industrial environment requires high-precision and high-performance systems that allow industry players to stay on top. Precise changes to the mechanical structure of the positioning system are no ...
    • Predicting Solid Particle Levels in Diesel Generators using an Autoformer Neural Network 

      Sirutavičius, Tomas; Osuch, Patryk; Byczuk, Bartlomiej; Rucki, Mirosław; Kilikevičius, Artūras; Žvirblis, Tadas (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 

      Zdanevičius, Stanislovas; Chlebnikovas, Aleksandras (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 

      Vainorius, Darius; Matijošius, Jonas; Borodinas, Sergejus; Džiugys, Algis (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 

      Žvirblis, Tadas; Pikšrys, Armantas; Bzinkowski, Damian; Rucki, Mirosław; Kilikevičius, Artūras (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 ...