Advances In Cyber-Physical Systems. – 2021. – Vol. 6, No. 2

Permanent URI for this collectionhttps://ena.lpnu.ua/handle/ntb/57236

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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, 2021. – Volume 6, number 2. – 86 p. : il.

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Author: search.filters.author.Bachynskyy, RuslanStart date: 2021

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    Investigation of serverless architecture
    (Lviv Politechnic Publishing House, 2021) Lakhai, Vladyslav; Bachynskyy, Ruslan; Lviv Polytechnic National University
    Serverless computing is a new and still evolving type of cloud computing, which brings a new approach to the development of information systems. The main idea of serverless is to give an approach of doing computing without dealing with a server to a user. Such approach allows to reduce the cost of the system building and system support. It allows small companies to concentrate on their own system designing instead of thinking about infrastructure building and supporting. Also, a big problem of providing the system security on high level is on cloud’s provider engineering support service. Serverless approach allows to start business quickly without huge initial investment. There is an attempt to completely analyze features, benefits and drawbacks of serverless approach, its use cases and main patterns of Serverless architecture. What is more, different providers have been analyzed.
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    Methods of vehicle recognition and detecting traffic rules violations on motion picture based on opencv framework
    (Lviv Politechnic Publishing House, 2021) Fastiuk, Yevhen; Bachynskyy, Ruslan; Huzynets, Nataliia; Lviv Polytechnic National University
    In this era, people using vehicles is getting increased day by day. As pedestrians leading a dog for a walk, or hurrying to their workplace in the morning, we’ve all experienced unsafe, fast-moving vehicles operated by inattentive drivers that nearly mow us down. Many of us live in apartment complexes or housing neighborhoods where ignorant drivers disregard safety and zoom by, going way too fast. To plan, monitor and also control these vehicles is becoming a big challenge. In the article, we have come up with a solution to the above problem using the video surveillance considering the video data from the traffic cameras. Using computer vision and deep learning technology we will be able to recognize violations of rules. This article will describe modern CV and DL methods to recognize vehicle on the road and traffic violations of rules by them. Implementation of methods can be done using OpenCV Python as a tool. Our proposed solution can recognize vehicles, track their speed and help in counting the objects precisely.