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Постійне посилання колекціїhttps://dspace.nuft.edu.ua/handle/123456789/7522
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Документ Method of allocation of labor resources for IT project based on expert assessements of Delphi(2023) Gladka, Myroslava; Kuchanskyi, Oleksandr; Kostikov, Mykola; Lisnevskyi, RostyslavAn essential component of the development and implementation of information systems is a clear definition of the project team, which is formed from possible options of company employees or freelancers in conditions of limited company resources. Based on the method of expert evaluation of Delphi, a study of qualifications and characteristics that are crucial for the implementation of project work on the development and implementation of IT projects, the level of significance of each parameter on the impact of the complex project is assessed, they are ranked according to the degree of importance for the project implementation; the critical parameters that entail the most significant project risks are identified. The importance of the selection of employees in the project team with certain levels of competence following the qualifications for the role performed and the appointment of responsible executors for project work according to their compliance is substantiated; the value of the qualification rank for different employees is taken into account in determining the type of work for which it will be assigned for the optimal distribution of all project work. The scientific novelty is to substantiate and evaluate the comparative importance of factors that limit the appointment of each developer to perform design work using the method of group expert evaluation of Delphi.Документ An IoT Solution: A Fitness Trainer(2021) Hladkyi, Yaroslav; Gladka, Myroslava; Kostikov, Mykola; Lisnevskyi, RostyslavAn IoT system of motion detection and control for fitness exercises can be urgent for people who do sports at home. Using such a system as a mobile application allows the user to get the assessment of technique when doing exercises demonstrating them in front of the smartphone camera, as well as recommendations which may help improve doing exercises. As a result, the efficiency of exercises will be increased. These functions are implemented via a neural network able to recognize images. Besides, users will see their progress and information on exercises made with flaws, which will help to fix the execution technique. The IoT system configures business rules and scenarios, necessary artefacts for users, the exercises they perform, errors and deviations that are committed while doing the exercises, as well as analyzing video files. The IoT solution is built using a neural network that is capable of recognizing the user's body posture during the exercise using a video file captured on the camera of their own smartphone. With the help of mathematical calculations, artificial intelligence will return the result of the video file analysis, where the user will be able to see their flaws while doing a certain task, and get recommendations. A special factor in pattern recognition is the individual initial anthropometric data of each user, which must be taken into account in the analysis. The use of IoT system of monitoring and control over the performance of fitness exercises will positively affect the trend of a healthy lifestyle in today's world without the involvement of personal fitness trainers.