Факультет комп’ютерних та інформаційних технологій
Постійне посилання на фондhttps://repository.lntu.edu.ua/handle/123456789/49
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Item type:Наукова стаття, APPLICATION OF MULTI-AGENT PROGRAMMING FOR MODELING THE VISCOSITY STATE OF MASH IN ALCOHOL PRODUCTION(Lublin University of Technology, 2025-03) Гуменюк, Лариса Олександрівна; Маркіна, Людмила Миколаївна; Satsyk, Viktor; Гуменюк, Павло Олександрович; Lashch, AntonIn alcohol production from starch-containing raw materials, it is essential to know the dynamic viscosity of the resulting solution. The main drawback of control systems in the solution preparation process is the lack of viscosity monitoring. This prevents the use of processing modes that would ensure efficient execution of the subsequent thermoenzymatic treatment of the solution. This work is dedicated to examining the qualitative impact of the timing of enzyme addition on the change in the dynamic viscosity of the solution, aiming to improve the quality of the process control during its preparation. The study was conducted in the free multi-agent programming environment NetLogo, which is used for modeling complex systems evolving over time.Item type:Наукова стаття, Modeling of interception parking lots(2025-09) Gumeniuk, Larysa; Lotysh, Volodymyr; Humeniuk, Pavlo; Reshetylo, Oleksandr; Syrota, YuriyThis paper is devoted to solving the problem of effective traffic flow management and parking lot organization by creating interception parking lots that help reduce traffic jams and improve parking availability. An algorithm has been proposed, and a simulation model of an interceptor parking lot has been implemented in Python. The development allows for the examination of the dynamics of parking lots, taking into account changes in traffic intensity throughout the day and week. It provides extensive opportunities for configuring parameters such as the number of lanes, parking lot capacity, vehicle arrival intensity, and duration of stay. The developed model can be helpful for urban planners, commercial parking lot owners, and researchers working on optimizing the use of urban space. Its integration with modern IoT solutions opens up prospects for the creation of intelligent parking systems that will help reduce traffic congestion, increase driver comfort, and reduce the impact of motor transport on the city's environment.