https://sci.ldubgd.edu.ua/jspui/handle/123456789/14877 2026-04-07T06:49:26Z 2026-04-07T06:49:26Z Рудавський, Іван Клим, Галина Іванівна Костів, Юрій Карбовник, Іван Жиденко, Ілля Володимирович Попов, Анатолій Конухова, Марина https://sci.ldubgd.edu.ua/jspui/handle/123456789/14719 2024-11-15T09:10:26Z 2024-10-01T00:00:00Z

Title: Utilizing an Arduino Uno-Based System with Integrated Sensor Data Fusion and Filtration Techniques for Enhanced Air Quality Monitoring in Residential Spaces Authors: Рудавський, Іван; Клим, Галина Іванівна; Костів, Юрій; Карбовник, Іван; Жиденко, Ілля Володимирович; Попов, Анатолій; Конухова, Марина Abstract: This study presents an air quality monitoring system that employs the Arduino Uno microcontroller. The system is augmented with a moving average filter and data fusion techniques from BME680 and CCS811 sensors, which are designed to process and combine data from these sensors. The system was tested and analyzed empirically across a range of residential environments in order to validate its efficacy. The findings indicated that the typical IAQ level in a bedroom was approximately 20 units. However, this level increased significantly, reaching 140 units, within minutes after the introduction of a 17% perfume spray. In contrast, the use of an aromatic diffuser resulted in a smaller increase in IAQ to 40 units, which returned to normal levels after ventilation. Moreover, the analysis demonstrated that the kitchen and bathroom exhibited inferior air quality in comparison to the bedroom. This was evidenced by elevated VOC and humidity levels, which were observed to be 10–20% higher due to the combined effects of household activities and inadequate ventilation. This study makes a significant contribution to the field of air quality monitoring by proposing a solution that employs sensor technology and data processing methods to enhance the quality of life within residential spaces. © 2024 by the authors.

2024-10-01T00:00:00Z Жиденко, Ілля Володимирович Клим, Галина Іванівна Карбовник, Іван Чалий, Дмитро Олександрович https://sci.ldubgd.edu.ua/jspui/handle/123456789/14716 2024-11-15T08:47:52Z 2024-07-30T00:00:00Z

Title: Modeling conductivity in percolating nanotube networks using parametric approaches Authors: Жиденко, Ілля Володимирович; Клим, Галина Іванівна; Карбовник, Іван; Чалий, Дмитро Олександрович Abstract: This work focuses on conducting three-dimensional computer simulations to analyze the formation of nanotube networks within non-conductive volumes. The primary objective is to investigate the electrical properties of these model networks, taking into account a range of conductivity mechanisms. The outcomes of the simulations entail a comprehensive exploration of nanotube networks with diverse geometrical parameters, providing insights into their electrical behavior under varying conditions. © 2024 Taylor & Francis Group, LLC.

2024-07-30T00:00:00Z