Intro
Conference Organizers and Board Members OTO 2022
Contents
About the Editors
Noise Removal from Images by Applying Deep Neural Networks
1 Introduction
2 Related Work
2.1 Real Image Denoising with Feature Attention
2.2 A Physics-Based Noise Formation Model for Extreme Low-Light Raw Denoising
2.3 Noise2Void
2.4 Multi-level Wavelet-CNN for Image Restoration
2.5 Deep Image Prior
3 Theoretical Background and Technologies Used
3.1 Deep Learning
3.2 Keras
4 Image Noise Removal
4.1 Chosen Model
4.2 Experimental Results

4.3 Application of the Model
5 Conclusion
References
Conceptual Design of Smart Furniture Objects Cluster
1 Introduction
2 Mesh Topology
2.1 Comparison: Traditional Wi-Fi and ESP-Wi-Fi-MESH
2.2 ESP-Wi-Fi-MESH Topology
2.3 Data Transmission
2.4 Usage
3 Conclusion
References
Organization of a Digital Voting System Based on Blockchain Technology for the Faculty Council
1 Introduction
2 Organization of the Faculty Council Session
2.1 Dean
2.2 Faculty Council
2.3 Session of Faculty Council
3 Blockchain Based Voting

3.1 Distributed Ledger Technologies
3.2 Blockchain Voting
4 The Organization of a Faculty Council Voting System
4.1 Roles
4.2 Smart Contracts
4.3 Blockchain Platform
4.4 Voting Application
4.5 Session Report
5 Conclusion
References
Mobile Application for Keeping Records of Class Attendance
1 Introduction
2 Mobile Application for Keeping Records of Class Attendance
3 Used Technologies
3.1 Kotlin
3.2 XML
3.3 Firebase
4 Results and Discussion
5 Conclusion
References
Comparison Functionalities of HTTP and MQTT Protocols
1 Introduction

1.1 Aim of the Paper
2 Used Technologies
2.1 General About the TCP/IP Protocol
2.2 HTTP Protocol
2.3 MQTT Protocol
2.4 Kotlin
2.5 NestJS
2.6 PostgreSQL
3 Implementation of the Program Solution
3.1 Flow Chart Development
3.2 Backend Development
3.3 Mobile (Android) Application Development
4 Comparison of MQTT and HTTP Used in Project
5 Conclusion
References
Influence of Wind Power Plant on P-V and Q-V Curves in Transmission System
1 Introduction
2 Network Model and Input Data
2.1 Network Model
2.2 Input Data

3 Simulation Scenarios and Results
3.1 Simulation Scenarios
3.2 Results
4 Discussion
5 Conclusion
References
New Trends in Power Transformer Surveillance and Diagnostics in the Function of Power System Maintenance
1 Introduction
2 Significance and Characteristics of Diagnostic Methods and Monitoring of Power Transformers
2.1 Power Transformer Monitoring
2.2 Further Development of the Transformer Monitoring System
3 Use of Thermovision in Transformer Diagnostic Control
4 New Approaches in the Field of Power Transformers Maintenance
5 Conclusion
References