Advances In Cyber-Physical Systems

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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 Computer System for Collecting Data on Temperature and Humidity on Premises
    (Видавництво Львівської політехніки, 2023-02-28) Kalytka, Andrii; Yurchak, Iryna; Lviv Polytechnic National University
    Nowadays, it is impossible to do without cli- mate control in enterprises, especially when these are en- terprises that manufacture products that can become unus- able under the influence of environmental factors such as high or low temperature, humidity, and dryness. Basically, in most enterprises, finding a solution to this issue is re- quired by state standards, which cannot be ignored, be- cause it can harm people. The problem of building a computer system for collect- ing data on the temperature and humidity of premises has been considered. The main means of indoor systems for collecting data on temperature and humidity have been defined, and their main disadvantages and advantages have been highlighted. The basic principles of operation of the new system have been developed. The main nodes required for system implementation have been given. Hardware components for the implementation of the new system have been put forward. The structural scheme of the computer system of protection of living space has been developed and considered. The practicality and expediency of developing a new system have been substantiated. The general algorithm of system operation has been developed and considered.
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    Service for monitoring the conditions of vaccination of the population against coronavirus infection
    (Видавництво Львівської політехніки, 2022-06-06) Feshchenko, Zakharii-Andrii; Yurchak, Iryna; Lviv Polytechnic National University
    Health care is a system of measures aimed at ensuring the preservation and development of physiological and psychological functions, optimal performance and social activity of man at the maximum biologically possible individual life expectancy. The key goal of any health care system is the availability and quality of medical care, medical services, medical care. The main goal of any country is to build an effective model of the health care system and achieve the highest level of public health with minimal resources. The purpose of developing a service to monitor the vaccination status of the population against coronavirus infection is to help users learn information about vaccination and general statistics in the country on vaccinations. This system is suitable for both qualified medical users and users who are unfamiliar with medicine but want to know more about vaccination data. The article attempts to analyze the types of services for vaccinations and their alternatives. It describes the principle of operation of the vaccination service in the form of a report made on the application platform for visualization of Microsoft Power BI Desktop.
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    Research of content-based image retrieval algorithms
    (Lviv Politechnic Publishing House, 2021) Yakubchyk, Eduard; Yurchak, Iryna; Lviv Polytechnic National University
    Finding similar images on a visual sample is a difficult AI task, to solve which many works are devoted. The problem is to determine the essential properties of images of low and higher semantic level. Based on them, a vector of features is built, which will be used in the future to compare pairs of images. Each pair always includes an image from the collection and a sample image that the user is looking for. The result of the comparison is a quantity called the visual relativity of the images. Image properties are called features and are evaluated by calculation algorithms. Image features can be divided into low-level and high-level. Low-level features include basic colors, textures, shapes, significant elements of the whole image. These features are used as part of more complex recognition tasks. The main progress is in the definition of high-level features, which is associated with understanding the content of images. In this paper, research of modern algorithms is done for finding similar images in large multimedia databases. The main problems of determining high-level image features, algorithms of overcoming them and application of effective algorithms are described. The algorithms used to quickly determine the semantic content and improve the search accuracy of similar images are presented. The aim: The purpose of work is to conduct comparative analysis of modern image retrieval algorithms and retrieve its weakness and strength.
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    Recommendation system for purchasing goods based on the decision tree algorithm
    (Lviv Politechnic Publishing House, 2021) Kohut, Yurii; Yurchak, Iryna; Lviv Polytechnic National University
    Over the past few years, interest in applications related to recommendation systems has increased significantly. Many modern services create recommendation systems that, based on user profile information and his behavior. This services determine which objects or products may be interesting to users. ecommendation systems are a modern tool for understanding customer needs. The main methods of constructing recommendation systems are the content-based filtering method and the collaborative filtering method. This article presents the implementation of these methods based on decision trees. The content-based filtering method is based on the description of the object and the customer's preference profile. An object description is a finite set of its descriptors, such as keywords, binary descriptors, etc., and a preference profile is a weighted vector of object descriptors in which scales reflect the importance of each descriptor to the client and its contribution to the final decision. This model selects items that are similar to the customer's favorite items before. The second model, which implements the method of collaborative filtering, is based on information about the history of behavior of all customers on the resource: data on their purchases, ssessments of product quality, reviews, marked product. The model finds clients that are similar in behavior and the recommendation is based on their assessments of this element. Voting was used to combine the results issued by individual models – the best result is chosen from the results of two models of the ensemble. This approach minimizes the impact of randomness and averages the errors of each model. The aim: The purpose of work is to create real competitive ecommendation system for short period of time and minimum costs.
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    Recommendation Dialog System for Selecting the Computer Hardware Configurationconfiguration
    (Lviv Politechnic Publishing House, 2021-03-01) Svystun, Oksana; Yurchak, Iryna; Lviv Polytechnic National University
    The development of modern technologies is extremely fast. Every day more and more new and various means appear in the world to improve the quality of life and more. It is not possible for a person to process all this new information on the scale and speed with which this information appears. Everyone has their own preferences and wants to receive and obtain information about certain events or things that they are interested in. This has become one of the most important reasons for creating referral systems. The purpose of developing a recommended dialog system for selecting the computer hardware configuration is to help users choose the computer's hardware characteristics to suit their requirements and needs. This system is suitable for being used by both qualified users in this field, and for users unfamiliar with computer technology. There has been an attempt to analyze the types of recommendation dialog systems and their varieties in the paper. The principle of operation of the recommendation dialog system in the form of a chat bot made on the platform of the messenger Telegram has been considered.
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    The Online Platform “Eschool”
    (Lviv Politechnic Publishing House, 2021-03-01) Skrypnyk, Denys; Yurchak, Iryna; Lviv Polytechnic National University
    The internet is a global network that is used in any industry. Large corporations have long used the electronic way of doing business. Due to the COVID-19 pandemic, more and more government and commercial structures are switching to online and, therefore, using the electronic circulation of documents and other important things for them. Educational institutions were the most unprepared for such changes, and therefore, they faced an acute question of how to transfer everything online. The purpose of the development is to design and implement a convenient, simple, and most importantly, fast accounting system for educational institutions, which can reflect the educational process in a convenient way, both for students/students and teachers/teachers.