Advances In Cyber-Physical Systems. – 2023. – Vol. 8, No. 2

Permanent URI for this collectionhttps://ena.lpnu.ua/handle/ntb/61332

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Засновник і видавець Національний університет «Львівська політехніка». Виходить двічі на рік з 2016 року.

Advances in Cyber-Physical Systems / Lviv Polytechnic National University ; editor-in-chief A. Melnyk. – Lviv : Lviv Politechnic Publishing House, 2023. – Volume 8, number 2. – Р. 81–151 : il.

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    Experimental System and Software: Two-dimensional Return of the Platform to the Sound Source
    (Видавництво Львівської політехніки, 2023-02-28) Romanchuk, Andrii; Chyhin, Vasyl; Lviv Polytechnic National University
    We created a system, debugged it, and conducted experimental studies of the two-dimensional rotation of the supporting platform (with a camera, and a light source.) On the source of sound waves. The system was assembled based on two SYNCO Mic-M3 cardioid condenser microphones and an Alesis IO-4 sound card. We wrote original software for analyzing and transmitting the result of processing harmonic acoustic signals for the response of the Arduino Uno control board. The rotation of the 2D platform is caused by two MG995 servos controlled by this microcontroller. We used a model of a serial COM port, which allows to send data received from the platform in the form of packets for processing by a portable personal computer. Based on the results of the experimental test and the basis of the literature data, a model of control of the two-dimensional platform of returning to the source of sound has been offered.
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    Covid-19 Diagnosis Using Deep Learning From X-Ray and CT Images – Overview
    (Видавництво Львівської політехніки, 2023-02-28) Michalska-Ciekańska, Magdalena; Boyko, Oksana; Lublin University of Technology; Danylo Halytsky Lviv National Medical University
    Since the outbreak of the pandemic in 2019, Covid-19 has become one of the most important topics in the field of medicine. This disease, caused by the SARS- CoV-2 virus, can lead to serious respiratory diseases and other complications. They can even lead to death. In recent years, the number of Covid-19 cases around the world has increased significantly, resulting in the need for rapid and effective diagnosis of the disease. Currently, the use of deep learning in medical diagnostics is becoming more and more common. It provides the high diagnostic efficacy that scientists, doctors and patients care about. During the Covid-19 diagnostic procedure, most clinicians order images from X- ray and CT to be taken from patients. It is the analysis of these images that gives a full diagnosis. In this article, we will discuss the use of deep neural networks in the diagnosis of Covid-19, especially using chest images taken from X-ray and CT.
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    Cloud Key-Value Storage
    (Видавництво Львівської політехніки, 2023-02-28) Pykulytsky, Oleh; Havano, Bohdan; Lviv Polytechnic National University
    The paper represents all the stages of designing, architecting, and developing cloud-based key-value storage. This work aims to bring new approaches to distributed data systems. The authors focus on the security and productivity of the project as well as security and maintainability. The authors have studied the use of hash tables in a multithreaded environment. Architectural approaches and tools have been described. The general structure of the keyvalue storage server has been presented. The server algorithm has been presented. Our research delves into the intricate nuances of utilizing hash tables in a multithreaded environment, shedding light on the intricacies and challenges of managing concurrent access to keyvalue data structures. The authors have explored the tradeoffs between lock-free designs and traditional locking approaches.
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    An Alternative to Vending Machines
    (Видавництво Львівської політехніки, 2023-02-28) Lozynskyi, Yurii; Yurchak, Iryna; Lviv Polytechnic National University
    In this review article for a smart vending refrigerator, the contours of the future device are thought out and outlined and all its advantages are described. This device will be controlled using Computer Vision and some other features. The main control unit will be Raspberry PI, since it is the best for this device. Also, a web application was developed in which the user registers, and the application itself transmits the user's information through an API that will be developed to communicate with the web server, and the web server will store this information. This article will analyze the systems that have been already on the market and their pros and cons, as well as consider the design, implementation and functionality of a smart vending refrigerator. Also, the paper will consider key requirements for this system, technologies used, and approaches to integration with existing infrastructures. This design plays an important role in providing comfort and productivity in various fields of activity and can be applied in many areas.
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    A Blockchain-Enhanced Self-Sovereign Identity Platform for Corporate Resource Security
    (Видавництво Львівської політехніки, 2023-02-28) Kose, Busra Ozdenizci; Coskun, Vedat; Coskun, Arslan; Yaya, Senol; Gebze Technical University; Istanbul Atlas University; Turcom Technology
    In an era dominated by concerns of data breaches, and identity theft, security of corporate resources and assets has become paramount. Centralized identity management systems traditionally present vulnerabilities that can fundamentally threaten corporate security. This paper introduces a novel platform to identity management in organizations, leveraging the principles of Self-Sovereign Identity (SSI) and the technological robustness of blockchain. By giving individuals unwavering control over their digital identities and reducing dependence on centralized intermediaries, SSI provides a transformative advancement in security and privacy. When combined with blockchain's immutable, decentralized, and transparent nature, this model ensures a verifiable, tamper-proof, and holistic identity management system. Beyond individual identity management, this paradigm provides corporations with a robust mechanism to protect their assets, both digital and physical. We explore the architectural design and benefits of implementing the proposed system, BlockSSI-CRS, emphasizing its transformative potential for corporate resource protection. Through rigorous analysis, this paper highlights the feasibility of a blockchain-enhanced SSI platform in the context of corporate security needs.
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    The Principle of Construction of the Boiler Control System With Efficient Use of the Solid Fuel
    (Видавництво Львівської політехніки, 2023-02-28) Kharchenko, Marko; Klushyn, Yurii; Lviv Polytechnic National University
    The system for controlling the economic operation of a solid fuel boiler is a device that controls and monitors the processes that occur during fuel combustion and water circulation in a solid fuel boiler. The system describes the combination of two main components: software and hardware. Based on these components, this article presents the method of building a system of economic operation of a solid fuel boiler, describes the development environment with its functions and capabilities, provides a detailed description for the user with explanations of key points in the operation of the system. This system is aimed at improving the quality of room heating and optimizing this process in order to regulate the desired temperature for the user with minimal error. All software tools interact with each other according to clearly defined protocols, so there are no system failures.
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    Cloud Computing With Resource Allocation Based on Ant Colony Optimization
    (Видавництво Львівської політехніки, 2023-02-28) Kniazhyk, Taras; Muliarevych, Oleksandr; Lviv Polytechnic National University
    In this study, we explore the intricacies of cloud computing technologies, with an emphasis on the challenges and concerns pertinent to resource allocation. Three optimization techniques-Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and Genetic Algorithm (GA)-have been meticulously analyzed concerning their applications, objectives, and operational methodologies. The study underscores these algorithms' pivotal role in enhancing cloud resource optimization, while also elucidating their respective merits and limitations. As the complexity of cloud computing escalates, devising efficacious strategies for resource management and allocation becomes imperative. Such strategies are paramount in aiding organizations in cost containment and performance amplification. The ensuing comparative analysis has been crafted to offer a holistic insight into the three algorithms, thus empowering cloud providers to judiciously select an optimization technique that aligns with the unique demands and challenges of their cloud computing infrastructure.
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    Contents
    (Видавництво Львівської політехніки, 2023-02-28)
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    Development of an Algorithm and Software System for Facing Panels Accounting on Production Lines
    (Видавництво Львівської політехніки, 2023-02-28) Ivanov, Yurii; Bilous, Petro; Botvinnikov, Viacheslav; Holovatyi, Maksym; Lviv Polytechnic National University
    This paper aims to develop and implement an algorithm and an automated software system for the automatic accounting process of external facing panels during transportation on line conveyors. The method described in this paper is designed to simplify the process of production and accounting of wall-facing panels. This method can also serve as a model for implementing other manufacturers. The developed algorithm consists of the following steps: obtaining a video stream in real-time or from a file and its targeted processing and determining the number of moving objects of interest. The software accounting system created based on the developed algorithm analyzes the video data and stores all the necessary results and settings in the database. The software system can adapt to the accounting requirements of other types of similar products in other areas.
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    Audio Reading Assistant for Visually Impaired People
    (Видавництво Львівської політехніки, 2023-02-28) Chypak, Yurii; Morozov, Yuriy; Lviv Polytechnic National University
    This paper describes an Android mobile phone application designed for blind or visually impaired people. The main aim of this system is to create an automatic text-reading assistant using the hardware capabilities of a mobile phone associated with innovative algorithms. The Android platform was chosen for people who already have a mobile phone and do not need to buy new hardware. Four key technologies are required: camera capture, text detection, speech synthesis, and voice detection. Moreover, a voice recognition subsystem has been created that meets the needs of blind users, allowing them to effectively control the application by voice. It requires three key technologies: voice capture over the embedded microphone, speech-to-text, and user request interpretation. As a result, the application for an Android platform was developed based on these technologies.