Перегляд за Автор "Fedula, M."

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    Automated testing of web project functionality with using of error propagation analysis
    (Хмельницький національний університет, 2023) Zasornova, I.; Fedula, M.; Pavlova, O.; Kysil, T.
    Automated testing is indispensable in the area of software engineering, particularly for web project functionality, as the complexity of software systems continues to surge. This paper delves into the pivotal role of automated testing and how the integration of error propagation analysis, grounded in chaos theory, can elevate its efficacy. The objective is to elucidate the significance of this methodology and its application in bolstering the reliability and performance of web projects. Automated testing automates the execution of predefined test cases, offering efficiency gains, reduced human error, and swift defect detection in software development. Various testing approaches, including unit testing, integration testing, and regression testing, cater to distinct facets of software functionality, ensuring seamless operation of all components. Web project functionality is integral to the user experience, encompassing navigation menus, forms, and search features. Testing this functionality is imperative to unearth inconsistencies or errors that could compromise user satisfaction and task completion. This paper proposes a methodology for automated testing coupled with error propagation analysis, which involves scrutinizing how errors evolve through a system over time. Chaos theory, a branch of mathematics examining complex systems' behavior, is employed to understand how minor variations in initial conditions can precipitate substantial system behavior shifts. Traditional error propagation analysis hinges on linear, deterministic models, but real-world systems often exhibit nonlinear, chaotic characteristics, rendering such models inadequate. Chaos theory's non-linear dynamics model the intricate interactions between input variables and their effects on outputs, capturing the sensitivity of chaotic systems to initial conditions. This approach appreciates system complexity and intricate feedback loops, enhancing error analysis's robustness and accuracy. However, the application of chaos theory introduces complexity and computational demands, necessitating a balance between model intricacy and practicality. The proposed methodology unveil valuable insights into error propagation within web projects' functionality, pinpointing vulnerable components and areas ripe for improvement. The methodology's advantages include the ability to identify potential issues and vulnerabilities, ultimately enhancing web project reliability.
  • Ескіз
    Документ
    Development of a photovoltaic panel simulation model based on its single-diode equivalent circuit
    (Хмельницький національний університет, 2018) Martynyuk, V.; Slobodian, M.; Fedula, M.; Мартинюк, В.В.; Слободян, М.О.; Федула, М.В.
    This paper describes a simple and accurate method of extracting unknown photovoltaic panel parameters from the information provided by manufacturers in datasheets. To represent a real photovoltaic panel, a single-diode equivalent circuit model is used. This model consists of current source which simulates photocurrent produced by sun light, single diode, series and parallel resistances. The main equation for a single-diode model was obtained from Shockley equation of ideal p-n-junction. This model represents a single solar cell, but can be easily expanded to a solar panel. A simple iterative algorithm for calculating series and shunt resistances was introduced. Short-circuit current, open-circuit voltage and current and voltage at maximum power point are referenced as input data, on the other hand, photocurrent, diode reverse saturation current, diode ideality factor, series and shunt resistance are output data. According to the mathematical model of a single-diode equivalent circuit, a simulation model was developed using Matlab/Simulink software environment. Real polycrystalline photovoltaic module was used as a prototype for simulation model. As a result, I-V and P-V characteristics for two different operation conditions were obtained by computer simulation using Simulink. Theoretical I-V curves were compared with the data extracted from datasheet. This paper could be used for analyzing and developing maximum power point tracking algorithms.
  • Ескіз
    Документ
    Optimization of cyber-physical system parameters based on intelligent iot sensors data
    (Хмельницький національний університет, 2024) Zasornova, I.; Fedula, M.; Rudyi, A.
    The optimization of parameters of cyber-physical systems (CPS) is studied taking into account various calculations, physical processes, Internet of Things (IoT). The use of intelligent IoT sensors is crucial for collecting real-time data, which is necessary for enhancing the efficiency, reliability, and performance of CPS. Various methods of CPS parameters optimization are analyzed and categorized into model-based approaches, data-driven approaches, and hybrid approaches. The model-based approaches rely on mathematical models to describe CPS behavior and use optimization algorithms like linear programming and evolutionary algorithms to predict system responses and optimize parameters. But, the limitations of model-based approaches are related to complex systems with uncertain or dynamic behavior. The data-driven approaches are more suitable for complex cyber-physical systems. These approaches utilize machine learning and data analytics techniques to extract patterns from sensor data, which are then used to adjust system parameters. The hybrid approaches combine elements of both model-based and data-driven methods. The method of cyber-physical system parameters optimization based on intelligent IoT sensors data processing is developed with using of distributed neural network. The optimization problem is formulated with constraints for the system parameters. The neural network mathematical model and learning algorithm are proposed. The performed research shows the importance of developing optimization methods for CPS parameters based on intelligent IoT sensor data, considering the evolving nature of IoT technology. The integrating intelligent sensors into CPS offers new opportunities for optimizing system performance but also presents challenges in data management and security that should be addressed in future.
  • Ескіз
    Документ
    Проектування сенсорних людино-машинних інтерфейсів з фільтрацією механічних коливань
    (Хмельницький національний університет, 2020) Федула, М.В.; Кльоц, Ю.П.; Форкун, Ю.В.; Fedula, M.; Klyots, Yu.; Forkun, Yu.
    Розвиток автоматизованих систем керування протягом останніх десятиліть вимагає значних змін та вдосконалення людино-машинних інтерфейсів. Відомі кнопкові панелі керування не відповідають умовам, необхідним для реалізації ефективної людино-машинної взаємодії. Протягом останнього десятиліття відбувається активний розвиток маніпуляторів і сенсорних панелей, що забезпечують більш ефективну взаємодію людини із складними автоматизованими системами. Основна задача, яка вирішується в процесі проектування ефективних людино-машинних інтерфейсів, полягає у досягненні високої ефективності подання людині інформації про роботу пристрою та високої ефективності передачі команд від людини до пристрою, з мінімальними часовими затримками. У роботі розглянуто особливості проектування сенсорних людино-машинних інтерфейсів з фільтрацією механічних коливань. Фільтрація коливань дозволяє значно підвищити точність ідентифікації дій оператора. Збільшення точності ідентифікації дозволяє знизити ймовірність помилок при інтерпретації та подальшому виконанні команд оператора автоматизованою системою.