Indoor air quality plays a crucial role in human health and well-being, with relative humidity (RH) being a key factor influencing respiratory health, indoor comfort, and the interior lifespan of buildings. Poor RH control can exacerbate indoor air pollution, leading to adverse health effects and increased risks of microbial growth. This study created a predictive approach to indoor RH management by developing an intelligent electronic system that proactively regulates a humidifier and dehumidifier to maintain optimal humidity levels. The system integrates a forecasting algorithm based on the ARIMA model, enabling short-term RH predictions and dynamic adjustments before extreme conditions occur. The ARIMA model was selected for its robustness in time-series forecasting, ensuring precise predictions and improved indoor climate regulation. The results demonstrate that this predictive control strategy significantly reduces fluctuations in RH, preventing the effects of indoor air pollution associated with humidity extremes while enhancing energy efficiency. Additionally, the iterative validation process confirms the model’s reliability and adaptability to changing environmental conditions. This study suggests the importance of predictive RH control in mitigating the threat of poor indoor air quality, improving indoor comfort, and promoting energy-efficient and sustainable living environments.

Information about the paper titled "21ST CENTURY SKILLS DEVELOPMENT USING INQUIRY-BASED LEARNING WHEN TEACHING THE TOPIC “ARITHMETIC CIRCUITS FOR FAST ADDITION: CARRY PROPAGATION–LOOK-AHEAD CARRY GENERATOR”" at IATED Digital Library

This article examines the process of creating and researching a virtual laboratory for training students in coding theory. General information about the virtual laboratories is presented. A methodology for conducting comprehensive scientific research is presented, as well as a specialized method for designing and developing the virtual laboratory, including the system’s architecture. The article also presents brief information about the developed system. The results of the experimental research, including a pedagogical experiment aimed at evaluating the influence of the virtual laboratory on the students’ success rate, as well as an analysis of the statistical data on their activity, are discussed in detail. In addition, a survey was conducted to assess the satisfaction of students with the use of the laboratory.

Information about the paper titled "FPGA-MODELLING AND SIMULATION OF CODE CONVERTERS APPLIED IN THE EDUCATIONAL PROCESS" at IATED Digital Library

This article introduces a novel approach to ensuring optimal comfort in residential environments, using a smart system powered by predictive modeling. At its core lies a complex algorithm, presented alongside a detailed block diagram, guiding the system’s operations, which are tailored for residential comfort. The primary focus is on the time series analysis of forecasting relative humidity—a critical parameter influencing comfort in living spaces. Among the various prediction models analyzed, a model based on the Fourier equation emerged as the most efficient, accounting for approximately 81% of variances in data. Upon validation, the model showcases an impressive relative error of just ±0.1%. The research underscores the potential of leveraging advanced forecasting in optimizing devices like dehumidifiers or air humidifiers, ensuring the desired comfort while minimizing energy consumption. This innovative integration paves the way for a smarter, more sustainable residential living experience.

This paper presents the design and development of interactive software models for teaching coding theory, aiming to enhance students’ comprehension through an intuitive and hands-on approach. A general methodology for designing interactive educational software is proposed and has been successfully applied in developing four software models for learning various coding techniques. These software models are suitable for both online and face-to-face classroom environments. As a case study, the paper details the implementation of an interactive software model for solving Hamming code–general approach problems, outlining its design, development, implementation, and evaluation. A pedagogical experiment was conducted to evaluate student performance using the ANCOVA statistical method. Additionally, an analysis of the completed tasks was performed to assess student progress using the interactive software tool. A survey was also administered to gather students’ feedback on their experience with the model. The findings suggest that the proposed methodology has strong potential to enhance student engagement and performance in coding theory education, making it applicable to various teaching settings and other coding techniques beyond Hamming codes, and it can be adapted for use in other scientific disciplines and teaching contexts.