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, Aspects of protection of accounting data in the conditions of use of innovation and information technologies(Луцьк: ЛНТУ, 2021-03-31) Марценюк, Василь Петрович; Сверстюк, Aндрій Степанович; Андрущак, Ігор Євгенович; Чудовець, Віталій Васильович; Кошелюк, Віктор АндрійовичThe article examines the current state of cybersecurity and identification of cyber threats in the use of credentials, the formulation of measures to minimize the risk of theft, damage or loss of confidential accounting information in the cyber environment of its use and maintenance.Item type:Наукова стаття, Approach To Risk Management Based On The Assessment Of The Cost Of Quality Of Implementation Of Cybersecurity Measures Of The Organization(Helsinki, 2024-04-24) Kozubtsov, Igor; Lishchyna, Valerii; Yashchuk, AndriiBackground: Intelligent conference rooms are crucial to 21st-century enterprises for events. Safety, resource optimization, and event management depend on accurate counting in such contexts. Manual headcounts are effective yet inefficient and error-prone, particularly for big crowds, requiring automatic people counters. Objective: This article introduces and validates a data-driven algorithm to count and track people in an intelligent conference hall. The concept uses IoT infrastructure, low-resolution cameras, and powerful image-processing algorithms to improve security, resource usage, and real-time management choices. Methods: The message-oriented IoT algorithm incorporates motion detection, background subtraction, people counting, and tracking modules. Blob analysis, edge detection, and low-maintenance, low-resolution cameras are used to capture real-world data. Based on real-time data, a decision-making module controls the conference hall's atmosphere. Results: With a 96.5% accuracy rate and 95% confidence interval in real-time individual counts, the algorithm operates with exceptional dependability. Using real-world data and experimental findings, the algorithm has been extensively tested and shown to work in diverse head counting situations. Conclusion: Intelligent conference hall management using the suggested algorithm might revolutionize venue management. The algorithm's accurate, real-time headcounts improve security, resource utilization, and management decisions, making it a promising candidate for intelligent conference hall management and optimization for diverse events and gatherings.