Recent Submissions

  • Deep Learning Model for Sensor based Swimming Style Recognition 

    Tarasevičius, Deividas; Serackis, Artūras (2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 30, 2020, Vilnius, Lithuania, 2020)
    This paper aim is to present deep learning based approach for swimming style recognition performed on publicly available data collected with a smartwatch. The proposed method is a Bi-LSTM (Bidirectional Long-Short Term ...
  • Analysis of Deep Neural Network Architectures and Similarity Metrics for Low-Dose CT Reconstruction 

    Brusokas, Jonas; Petkevičius, Linas (2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 30, 2020, Vilnius, Lithuania, 2020)
    Computed tomography (CT) is a widely used imaging technique in the medical field. During CT procedures patients are exposed to high amounts of radiation, posing a tangible threat to their health. Developed low-dose procedures ...
  • Naming and Routing Scheme for Data Content Objects in Information-Centric Network 

    Jaber, Ghassan; Pastei, Natallia; Rahal, Fatima; Abboud, Ahmad (2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 30, 2020, Vilnius, Lithuania, 2020)
    The subject of this article is devoted to the problems of naming and routing scheme for data content object in information-centric networks (ICN). The relevance of the work is determined by the idea of an information-content ...
  • Search by Image Engine using Local Feature Detectors 

    Smelyakov, Kirill; Chupryna, Anastasiya; Ponomarenko, Oleksandr; Kolisnyk, Maksym (2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 30, 2020, Vilnius, Lithuania, 2020)
    Nowadays, modern big data warehouses require the development of effective management algorithms. For large image storages first of all it's important to develop effective algorithms for comparing and searching a similar ...
  • Investigation of Acoustic Features for Voice Activation Problem 

    Kolesau, Aliaksei; Šešok, Dmitrij (2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 30, 2020, Vilnius, Lithuania, 2020)
    In this paper we examine the results of using different acoustic feature computation pipelines for classifying audio keywords with a convolutional neural network (CNN). We compare the use of Mel-frequency cepstral coefficients ...
  • Tarptautinė konferencija Lietuva visiems 2023 

    Vilniaus Gedimino technikos universitetas (2023)
  • Tarptautinė konferencija Lietuva visiems 2025 

    Vilniaus Gedimino technikos universitetas (2025)
  • Search by Image Engine for Big Data Warehouse 

    Smelyakov, Kirill; Chupryna, Anastasiya; Sandrkin, Denys; Kolisnyk, Maksym (2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 30, 2020, Vilnius, Lithuania, 2020)
    The paper discusses promising ways to build an invariant model and an efficient image search algorithm in Big Image Warehouse. Based on open data using the appropriate Python prototype, Search by Image Engine, a series of ...
  • Comparison of VGG and ResNet used as Encoders for Image Captioning 

    Atliha, Viktar; Šešok, Dmitrij (2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 30, 2020, Vilnius, Lithuania, 2020)
    Recent models for image captioning are usually based on an encoder-decoder framework. Large pre-trained convolutional neural networks are often used as encoders. However, different authors use different encoder architectures ...
  • Neural Networks Application for Power Consumption Planning of the Water Supply Facilities 

    Davydenko, Lіudmyla; Davydenko, Nina; Davydenko, Volodymyr (2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 30, 2020, Vilnius, Lithuania, 2020)
    The issue of constructing mathematical dependency of power consumption of the water supply facility on relevant variables that have an influence on the efficiency of power consumption is considered. The expediency of ...
  • Near-optimal Placement of Piles in Grillage Type Foundations Based on Simulated Annealing 

    Miloš, Ervin; Kovalyov, Mikhail Y.; Mačiūnas, Darius; Belevičius, Rimantas; Šešok, Dmitrij (2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 30, 2020, Vilnius, Lithuania, 2020)
    A problem of optimal positioning of piles in grillage type foundations is studied. A Global Optimization model reported in the literature is used to formalize this problem. A novel Simulated Annealing algorithm is developed ...
  • Analysis of Nonlinear PID Controllers in Cascade Control Systems 

    Hryniuk, Dzmitry; Oliferovich, Nadezhda; Suhorukova, Irina; Orobei, Igor (2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 30, 2020, Vilnius, Lithuania, 2020)
    This article discusses the controller synthesis and stability analysis problems for nonlinear systems. Six combinations of cascade control systems using different linear and nonlinear controllers for internal and external ...
  • Reducing the Effect of White Noise in Gyro Data 

    Shumski, Andrei; Karpovich, Dmitry; Gindullin, Roman (2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 30, 2020, Vilnius, Lithuania, 2020)
    This article proposes a method for reducing the influence of white noise on gyroscope data using the fuzzy set theory. The control system was synthesized in the Matlab Simulink graphical simulation environment. Allan ...
  • Design and Comparison of Fuzzy Controllers for Six-phase Drive 

    Rinkevičienė, Roma; Mitkienė, Bronė; Udris, Dainius (2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 30, 2020, Vilnius, Lithuania, 2020)
    The paper presents simulation results of a symmetrical six-phase induction drive. The drive control system is based on indirect rotor flux field-oriented control mode. Two three-phase frequency converters, generating two ...
  • Modeling of Sensorless Control of Permanent-magnet Synchronous Motors 

    Dilys, Justas (2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 30, 2020, Vilnius, Lithuania, 2020)
    This paper presents a modeling of permanent magnet synchronous motor rotor position estimation method based on back electromotive force (EMF) calculation and tracking using Phase Locked Loop method. Field Oriented Control ...
  • Programmable-Gain Capacitive Feedback TIA for Low-Noise Applications in CMOS 

    Romanova, Agata; Barzdenas, Vaidotas (2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 30, 2020, Vilnius, Lithuania, 2020)
    The work reports on the design of an area-efficient programmable-gain low-noise CMOS transimpedance amplifier suitable for entry-level optical time-domain reflectometers. The approach is based on a modified capacitive ...
  • Performance Testing of Linux Firewalls 

    Melkov, Dmitrij; Šaltis, Arūnas; Paulikas, Šarūnas (2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 30, 2020, Vilnius, Lithuania, 2020)
    Netfilter framework for many years was used in Linux based systems for packet filtering, network address translations, port translations and others networking related operations. Since introduction in 1998 Netfilter’s ...
  • A Review of the Basic Power Amplifier Linearization Methods 

    Borel, Andžej; Barzdėnas, Vaidotas (2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 30, 2020, Vilnius, Lithuania, 2020)
    This paper reviews the main groups of power amplifier linearization methods. There are three basic groups of linearization methods: feedforward, feedback and pre-distortion. The principle of operation of mentioned linearization ...
  • Implementation of Machine Learning Method for Positioning Accuracy Improvement in Industrial Robot 

    Šumanas, Marius; Petronis, Algirdas; Bučinskas, Vytautas; Macerauskas, Eugenijus; Morkvėnaitė-Vilkončienė, Inga; Dzedzickis, Andrius (2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 30, 2020, Vilnius, Lithuania, 2020)
    Implementing of modern artificial intellect (AI) and machine learning (ML) for existing machinery can add value to their existing capabilities and technical characteristics. Machine learning is next step towards new ...
  • Performance Studies of Kubernetes Network Solutions 

    Kapočius, Narūnas (2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 30, 2020, Vilnius, Lithuania, 2020)
    Containers and microservices applications are complex and their orchestration is inevitable. As of today, Kubernetes is the most popular choice for container orchestration. However, there are various Kubernetes network ...

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