http://hdl.handle.net/20.500.14044/33862 2026-07-21T07:28:20Z http://hdl.handle.net/20.500.14044/33215 Real-Time IoT Solution to Monitor and Control dMVHR Units in Real-Life Environment Tolvaly-Roşca, Ferenc; Fekete, Gusztáv; Bíró, István; Fekete, Albert-Zsombor; Forgó, Zoltán This paper presents an up-and-running control system, using IoT hardware, for multiple decentralized mechanical ventilation with heat recovery (dMVHR) units to enhance the overall performance of heat exchangers and the air quality of a real-life environment. The implemented control and monitoring system is able to measure the thermal efficiency of the complete ventilation system under real working conditions. Fan speed is automated based on the measured CO2eq levels in the bedrooms of the building, however, manual control is also possible. Temperature, relative humidity and CO2eq levels can be monitored live on the user’s smart device, while data can be exported through Google cloud system. Data values can be stored and accessed any time by legit users. The thermal efficiency of the individual units and the whole ventilation system was investigated and experimentally verified under real-life conditions, using the implemented centralized control and monitoring system. 2024-01-01T00:00:00Z http://hdl.handle.net/20.500.14044/33214 Crisis Management, in Family Enterprises, from a Personnel Management Perspective Srovnalíková, Paulína This study examines the impact of crisis, on family businesses, caused by the global financial crisis of 2008 and the crisis caused by the COVID-19 pandemic. The impact of measures on the economy and the management of family businesses is being examined, with a focus on preparation and implementation of measures related to family enterprises during this period. The subject of our research was to find out what kind of personnel measures were implemented by the management of family enterprises in order to mitigate the negative impact of crisis situations and retaining the employees working for family businesses. The attention is addressed to measures taken during the global financial crisis and the crisis caused by COVID-19. The research is based on relevant data of empirical surveys in order to find out what impact the above-mentioned crises had on the entrepreneurial activity and management of these types of enterprises. The first phase of the research was conducted in January-May 2018 (306 responses were obtained), while the second phase was concluded in February-June 2022, where we obtained 289 responses from the management of family enterprises. The software “Statistica” was used to evaluate the research results. In addition to classical statistical methods, I also applied a statistical method for data categorization, and the method of descriptive statistics. Spearmen and Cramer’s correlation coefficient was used in the case of ordinal data. The metrics were calculated by using Pearson’s coefficient. The result of the conducted surveys provided information about the impact of economic crises on entrepreneurial activity of family business. It has become clear what kind of measures these businesses introduced in addition to economic and financial measures. Family enterprises were forced to implement changes in organization and management, remuneration system, work requirements, employment policy, as well as in employee motivation. Further important data of the findings were the differences detected in the examined periods in terms of the degree of negative impact on introduced measured during the crisis in order to mitigate the negative influence on employment in family enterprises. 2024-01-01T00:00:00Z http://hdl.handle.net/20.500.14044/33213 Augmented Reality System for Instructed and Visualized Pallet Loading Dakić, Nikolina; Jurošević, Vladimir; Reljić, Vule; Milenković, Ivana; Dudić, Slobodan; Šulc, Jovan Optimally loading pallets is a challenge and can be a time-consuming task for many industrial and logistics applications. To help solve this problem, we proposed an augmented reality (AR) application that assists warehouse workers during the pallet loading process. For this reason, an algorithm for solving the Pallet Loading Problem (PLP) was defined first. All input data (name, dimensions and quantity of boxes that need to be loaded on the pallet), which actually form a loading order, are then transferred to the warehouse with the generated QR code. A warehouse worker scans the QR code and gets a visual representation of how to load the boxes onto the pallet on the lens of their smart glasses. The experimental results show that the proposed system successfully facilitates and speeds up the process of shipping products from the warehouse to customers. 2024-01-01T00:00:00Z http://hdl.handle.net/20.500.14044/33212 Compliance Risk Assessment – Results of a Comprehensive Literature Revie Benedek, Petra; Bognár, Ferenc Today's terminology and definitions of compliance risk are various, and the description of compliance risk assessment is heterogeneous in the literature. These differences result in different expectations, processes, and methodologies in practice, which do not support the widespread adoption of standardized compliance management systems. This study is based on a comprehensive literature review. It aims to redefine compliance risk and propose a structured model for the compliance risk assessment process. The study provides a new framework for compliance risk assessment based on findings and gaps in scientific papers, business reports, and relevant standards. It also introduces the Digital Operational Resilience Act and its compliance aspects. 2024-01-01T00:00:00Z