Workshop Program

27th of April, 2023 (Thursday)

T. Sevcenkos str. 16, Vilnius, Lithuania
Corner Hotel

 

Administrative Sessions

AIEEE OrgCom Meeting

Preparation & publishing, 15.00–15.45

Student and YAP representatives session

Preparation & activities, 16.00–16.30

IEEE Section Chairs Meeting

Lithuania, Latvia Chairs, 16.45–17.30 

 

28th of April, 2023 (Friday)

Workshop Sessions

T. Sevcenkos str. 16, Vilnius, Lithuania
Corner Hotel 

 

Workshop Opening, 12.30–12.40

Dalius Navakauskas, Prof Dr, IEEE SM

IEEE Lithuania Section, Treasurer

Andrejs Romanovs, Assoc Prof Dr, IEEE SM

IEEE Latvia Section, Treasurer

 

Keynote Speech, 12.40–13.00

Cybersecurity Curricula Recommendations for Smart Grids

Andrejs Romanovs, Assoc Prof Dr, IEEE SM

IEEE Latvia Section, Treasurer

 

Oral Session A, 13.00–14.40

Session Co-Chairs:  Darius Plonis, Prof Dr

Vilnius Gediminas Technical University, Lithuania

Anna Litvinenko, Assoc Prof Dr

Riga Technical University, Latvia

 

1. Noisy Phoneme Recognition Using 2D Convolution Neural Network

Justina Ramonaite; Grazina Korvel

2. The Synthetic Data Application in the UAV Recognition Systems Development

Diana Duplevska; Vladislavs Medvedevs; Daniils Surmacs; Arturs Aboltins

3. Demonstration of 50 ps Per-Position Differential Pulse Position Modulation Data Transmission

Oskars Selis; Sandis Migla; Pauls Eriks Sics; Maris Zeltins; Sandis Spolitis; Arturs Aboltins

4. Supercapacitor Balancing Circuit Design Considerations for High Current Charge-Discharge Cycles

Kristians Gaspersons; Kaspars Kroics

5. Design, Analysis, and Implementation of an Elevator Control System using Arduino PIC Microcontroller and Ultrasonic Sensor

Martins Bisenieks; Adnan Ahmetović; Malik Bašović; Thibault Paties; Eluan Bre; Roberts Grants

6. Diagnostics of Pre-Fault Conditions Using the Impact of Electrolytic Capacitor Aging on Power Supply Dynamics

Pavels Suskis; Janis Zakis; Alexander Suzdalenko; Huynh Van Khang; Raimondas Pomarnacki

7. Toward Bee Behavioral Pattern Recognition on Hive Entrance using YOLOv8

Tomyslav Sledevic; Darius Plonis

 

Coffee Break

Coffee will be served at 14.40, Conference Room

Poster Session, 14.40–15.40

Session Co-Chairs: Dalius Navakauskas, Prof Dr, IEEE SM

Vilnius Gediminas Technical University, Lithuania

Andrejs Romanovs, Assoc Prof Dr, IEEE SM

Riga Technical University, Latvia

 

1. Identifying Ineffective Cooling Implementation to Increase Energy Efficiency in Existing Data Centres

Martins Marcinkevics; Ansis Avotins; Peteris Apse-Apsitis; Armands Senfelds

2. Operational Control Management for Grid Connections

Martins Bisenieks; Nadezhda Kunicina; Anna Shuvarina; Roberts Grants; Jelena Caiko

3. Experimental Study on Multi-Hop Wireless Power Transfer

Janis Eidaks; Anna Litvinenko; Romans Kusnins; Ruslans Babajans; Darja Cirjulina; Pavels Krukovskis

4. Multi-channel Synchronisation for Picosecond Time-tagging System

Anna Litvinenko; Vjaceslavs Lapkovskis; Vsevolods Stepanovs; Viktors Kurtenoks; Viktorija Smetskaja; Vladimirs Bespal’ko

5. Study on Thermal Stability of Multi-channel Picosecond Precise Time-Tagging System

Anna Litvinenko; Viktorija Smetskaja; Vsevolods Stepanovs; Viktors Kurtenoks; Vjaceslavs Lapkovskis; Vladimirs Bespal’ko

6. The Effects of Nonlinear Dynamics of Switching Power Supplies on the Power Conversion Characteristics

Daniils Surmacs; Aleksandrs Ipatovs; Dmitrijs Pikulins; Sergejs Tjukovs; Iheanacho Chukwuma Victor; Anna Litvinenko

7. Thermomechanical Actuators for Light Flux Regulation of LED Light Sources

Alexander Bubovich; Aivars Pumpurs; Ilya Galkin; Rodions Saltanovs

8. Development of Light Generation Schemes for Medical Lighting Equipment

Alexander Bubovich; Ilya Galkin; Luka Ivanovskis

9. Short-term Wind Energy Forecasting with Advanced Recurrent Neural Network Models: A Comparative Study

Mindaugas Jankauskas; Artūras Serackis

10. Enhancing 3D Pose Estimation Accuracy from Multiple Camera Perspectives through Machine Learning Model Integration

Ervinas Gisleris; Artūras Serackis

11. A Study on Electrolytic Capacitor Aging in Power Converters and Parameter Change Over the Lifespan

Pavels Suskis; Janis Zakis; Alexander Suzdalenko; Huynh Van Khang; Raimondas Pomarnacki


 

Oral Session B, 15.40–17.20

Session Co-Chairs: Ilya Galkin, Prof Dr

Riga Technical University, Latvia

Andrius Katkevičius, Prof Dr

Vilnius Gediminas Technical University, Lithuania

 

1. The Latest in Natural Language Generation: Trends, Tools and Applications in Industry

Heinrihs Kristiāns Skrodelis; Andrejs Romānovs; Nadezda Zenina; Henrihs Gorskis

2. Brain-computer Interfacing Developments, Perspectives and Limits

Janis Simanovics; Deniss Kolosovs; Anna Litvinenko

3. Analysis on RGB Dataset Requirements for Remote Inspection of Power Grid Infrastructure

Diana Gauce; Deniss Kolosovs; Anna Litvinenko

4. Machine Learning based Sensor Data Forecasting for Precision Evaluation of Environmental Sensing

Marta Narigina; Artūrs Ķempelis; Eduards Osadcijs; Andrejs Romanovs; Antons Patlins

5. Control Unit for Thermoelectrically Configurable Medical Lighting Equipment

Alexander Bubovich, Aivars Pumpurs, Ilya Galkin, Rodions Saltanovs

6. Managing Information System Security in Higher Education Organizations

Vladislavs Minkevics; Janis Kampars

 

Keynote Speech, 17.20–17.50

Review of Recent Advances in Computer Vision and Audio Classification

Rytis Maskeliūnas, Prof Dr

Silesian University of Technology, Kaunas University of Technology

 

Abstract: With the growing popularity of current signal processing-based applications and the extensive usage of sensors and cameras in everyday activities, computer vision and audio classification have emerged as critical study fields in artificial intelligence. The purpose of this talk is to offer an overview of recent developments in this area. We begin with a brief history of the topic before delving into the core principles and approaches employed in both areas. We then concentrate on recent breakthroughs in deep learning approaches, such as latest variants of convolutional neural networks (CNNs), recurrent neural networks (RNNs), and their derivatives, which have greatly increased classification task accuracy in both domains. In addition, we'll examine the most regularly used datasets and benchmarks in the area, as well as describe the problems and limits of existing methodologies. Finally, we will explore some of the most interesting future research avenues in this exciting and quickly expanding topic. 

 

Workshop Closure, 18.00–18.15

Andrejs Romanovs, Assoc Prof Dr, IEEE SM

IEEE Latvia Section, Treasurer

 

29th of April, 2023 (Saturday)
Social program

Starts at Corner Hotel lobby, 9.30–13.45  

 9.45-11.30, Vilnius city tour 

 11.45–13.45, Lithuanian Museum of Energetics, Rinktinės str. 2, Vilnius

 Welcome warmly all AIEEE participants! Extra passengers at

site pay cash fee.