Evaluation of the maintenance system readiness using the semi-Markov model taking into account hidden factors

Kozłowski, Edward; Borucka, Anna; Oleszczuk, Piotr; Jałowiec, Tomasz

doi:10.17531/ein/172857

Cited by 20 publications

(7 citation statements)

References 64 publications

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“…The ure indicates a robust positive association. The data points show a strong positive c lation, with a small and positively inclined ellipse [37]. This suggests that as the quali public transport services improves, there is a commensurate drop in the frequency of accidents.…”

Section: Qj′mentioning

confidence: 89%

Biometric Breakthroughs for Sustainable Travel: Transforming Public Transportation through Secure Identification

Čižiūnienė,

Prokopovič,

Zaranka

et al. 2024

Sustainability

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This study investigates the use of biometric technology in public transit to improve trip safety and effectiveness. The incorporation of biometric technology into transit networks improves efficiency and security but also poses substantial challenges of privacy, standardisation, and public acceptability. Conducted via a poll of 25 specialists in Lithuania, the objective was to assess the level of acceptability and practicality of using biometric identification for both drivers and passengers. The results suggest a divided view about the specific demographic that biometric applications should target. However, there is agreement on the considerable potential of these technologies to enhance transportation safety. Face recognition has been the favoured approach due to its non-intrusive nature and simplicity of integration. The statistical research demonstrated significant positive correlations between different biometric approaches, indicating that a multimodal strategy is effective for providing full security coverage. The research highlights the significance of resolving privacy issues, emphasising that public acceptability depends on the open management and strong safeguarding of biometric data. The findings support the deliberate use of biometric technologies in sustainable public transportation, emphasising their ability to improve safety, optimise operations, and even revolutionise the passenger experience. This emphasises the equitable examination of technology, security, and privacy in the progress of sustainable public transportation systems. Biometric technology in public transport, especially for monitoring driver health and ensuring passenger safety, is supported by experts as a means to enhance service quality, reduce accidents, and optimize route planning.

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Section: Qj′mentioning

confidence: 89%

Biometric Breakthroughs for Sustainable Travel: Transforming Public Transportation through Secure Identification

Čižiūnienė,

Prokopovič,

Zaranka

et al. 2024

Sustainability

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“…The boosting tree ( 9) is determined by applying forward stagewise procedure. The classification tree [24,28,29] T(x, Θ m ) is forced to concentrate on observations that are misclassified by the boosted model f m−1 (x). In every step j = 1, 2, .…”

Section: Data Analysis Methodsmentioning

confidence: 99%

“…Various metrics can be used to assess classifier quality [22][23][24][28][29][30]. The quantitative assessment of the classifier was carried out through the confusion matrix, which shows the matching of the reconstruction as classification conformity and divergence by classes (positive (finite element belongs to the inclusion area) and negative (finite element belongs to the background)).…”

Section: Data Analysis Methodsmentioning

confidence: 99%

Detection and Determination of User Position Using Radio Tomography with Optimal Energy Consumption of Measuring Devices in Smart Buildings

Styła,

Kozłowski,

Tchórzewski

et al. 2024

Energies

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The main objective of the research presented in the following work was the adaptation of reflection-radar technology in a detection and navigation system using radio-tomographic imaging techniques. As key aspects of this work, the energy optimization of high-frequency transmitters can be considered for use inside buildings while maintaining user safety. The resulting building monitoring and control system using a network of intelligent sensors supported by artificial intelligence algorithms, such as logistic regression or neural networks, should be considered an outcome. This paper discusses the methodology for extracting information from signal echoes and how they were transported and aggregated. The data extracted in this way were used to support user navigation through a building, optimize energy based on presence information, and increase the facility’s overall security level. A band from 5 GHz to 6 GHz was chosen as the carrier frequency of the signals, representing a compromise between energy expenditure, range, and the properties of wave behavior in contact with different types of matter. The system includes proprietary hardware solutions that allow parameters to be adjusted over the entire range and guarantee adaptation for RTI (radio tomography imaging) technology.

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“…x t z depending on the physical time t is called a stochastic process (Liu & Xiao, 2022;Kozłowski et al, 2023). The implementation of a stochastic process, which…”

Section: Let ( )mentioning

confidence: 99%

A Mathematical Model for Identifying Military Training Flights

Borucka,

Jabłoński,

Patrejko

et al. 2024

Aviation

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The main tasks of the Training Air Base concern the practical training of cadets in piloting techniques as well as maintaining and improving the piloting skills of the instructors. It is essential to maintain the infrastructure of the airfield and the Base as a whole ready for operation. This allows for fulfilling the fundamental mission of such military units, which is to provide effective operations for the defence of the state. Therefore, measures to support and improve the operation of such military facilities are extremely important and also became the genesis of this article. It analyses and evaluates the number of flights carried out over seven years (2016–2022) at the studied training base using mathematical modelling, allowing to assess the variability of the studied series. The phase trends method was used for this purpose, preceded by a seasonality study. It allowed the identification of periods in which the number of flights performed varies significantly. Such knowledge enables better regulation of the airport’s operation, adjustment of activities to the needs, and the determination of further directions for airport development and the justification of potential investments. An additional value of the article is the presentation of a mathematical modelling method specifically designed for seasonal time series, along with their diagnostics. It also provides an opportunity for other institutions to carry out tasks while upholding the highest standards.

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Evaluation of the maintenance system readiness using the semi-Markov model taking into account hidden factors

Cited by 20 publications

References 64 publications

Biometric Breakthroughs for Sustainable Travel: Transforming Public Transportation through Secure Identification

Biometric Breakthroughs for Sustainable Travel: Transforming Public Transportation through Secure Identification

Detection and Determination of User Position Using Radio Tomography with Optimal Energy Consumption of Measuring Devices in Smart Buildings

A Mathematical Model for Identifying Military Training Flights

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