Naršyti 2020 International Conference "Electrical, Electronic and Information Sciences“ (eStream)  pagal išleidimo datą

Dabar rodomi įrašai 1-20 iš 24

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • Electromagnetic Compatibility Between International Mobile Telecommunications System and Aeronautical Telemetry System in the 1429–1518 MHz Frequency Band 

      Oberauskas, Šarūnas; Kalesinskas, Vidas; Žilinskas, Mindaugas; Stankevičius, Evaldas (2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 30, 2020, Vilnius, Lithuania, 2020)
      this paper presents the co-channel compatibility analysis between Aeronautical Mobile Telemetry system (ATS) and International Mobile Telecommunications system (IMT) in the frequency band 1427-1518 MHz. IMT are developing ...

    • Evaluation of Yeast Mechanical Properties by Atomic Force Microscopy 

      Morkvėnaitė-Vilkončienė, Inga; Dzedzickis, Andrius; Čereška, Deividas; Zinovičius, Antanas; Jakštas, Žilvinas; Bučinskas, Vytautas (2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 30, 2020, Vilnius, Lithuania, 2020)
      Cells mechanical properties can show the living state of the cell since healthy cells and unhealthy cells have different mechanical properties. Atomic force microscopy (AFM) is an integral asset in such researches. In this ...

    • Effect of Bearing Faults on Vibration Spectrum of BLDC Motor 

      Kudelina, Karolina; Asad, Bilal; Vaimann, Toomas; Rassõlkin, Anton; Kallaste, Ants (2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 30, 2020, Vilnius, Lithuania, 2020)
      The topic of this paper is the brushless DC motors’ bearing faults. Such motors have been gaining popularity during the past years due to the specific nature of the usage of the machines. Bearing faults are the most common ...

    • 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 ...

    • Deadbeat Controller with a Prescribed Controlled Variable for Several Steps 

      Hryniuk, Dzmitry; Oliferovich, Nadezhda; Suhorukova, Irina (2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 30, 2020, Vilnius, Lithuania, 2020)
      This article discusses the synthesis problems of Deadbeat Controller with a Prescribed Controlled. The synthesis technique is based on the limitation of the control action. Deadbeat Controller synthesis formulas are obtained ...

    • Proceedings of the 2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream’2020): Organizers Foreword 

      Navakauskas Dalius; Plonis Darius; Udris Dainius (2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 30, 2020, Vilnius, Lithuania, 2020)
      Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.

    • 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 ...

    • 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 ...

    • 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 ...