The Journal of Informational Technology and Applications (JITA) is a scientific journal with an international reach. Its primary goal is to share new ideas, knowledge, and experiences that contribute the development of an information society based on knowledge.Our vision is to become a leading journal that publishes groundbreaking research that advances scientific progress. We invite you to collaborate by submitting original research works related to emerging issues in your field that align with our editorial policies.The journal is published twice a year, in June and December. The deadline for the June issue is April 15th; for the December issue, it is October 15th. After a blind review and evaluation process, authors will be notified of the publishing decision.
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In this paper we will propose new analytically traceable probability density function (PDF) model for free space optics (FSO) turbulence, obtained as a generalization of double Ricean turbulence model, that encompasses both large-scale and smallscale turbulence eddy effects along by taking into account performance decreasing influence of misalignment introduced through boresight pointing error model. Consequently, after delivering the closed-form expressions for the newly introduced double FSO model, we obtain the analytical expressions for the bit error rate (BER) performance for the Double Rician distribution affected by misalignment. Numerical results will show the impact of system parameters on FSO link performance and we will provide full performance analysis. © 2021.
The availability of real-time data on the state of railway facilities and the state-of-the art technologies for data collection and analysis allow transition to the fourth generation maintenance. It is based on the prediction of the facility functional safety and dependability and the risk-oriented facility management. The article describes an approach to assessing the risks of hazardous facility failures using the latest digital data processing methods. The implementation of this approach will help set maintenance objectives and contribute to the efficient use of resources and the reduction of railway facility managers’ expenditures.
The availability of real-time data on the state of railway facilities and the state-of-the art technologies for data collection and analysis allow transition to the fourth generation maintenance. It is based on the prediction of the facility functional safety and dependability and the risk-oriented facility management. The article describes an approach to assessing the risks of hazardous facility failures using the latest digital data processing methods. The implementation of this approach will help set maintenance objectives and contribute to the efficient use of resources and the reduction of railway facility managers’ expenditures.
bum@apeiron-edu.eu
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Pan European University APEIRON Banja Luka BUM Pere Krece 13, P.O.Box 51 78102 Banja Luka, Republic of Srpska Bosnia and Hercegovina
© 2024 Paneuropean University Apeiron All Rights Reserved
bum@apeiron-edu.eu
+387 (0)51 247 972
Pan European University APEIRON Banja Luka BUM Pere Krece 13, P.O.Box 51 78102 Banja Luka, Republic of Srpska Bosnia and Hercegovina
© 2024 Paneuropean University Apeiron All Rights Reserved
Pan European University APEIRON Banja Luka BUM Pere Krece 13, P.O.Box 51 78102 Banja Luka, Republic of Srpska Bosnia and Hercegovina
bum@apeiron-edu.eu
+387 (0)51 247 972
© 2024 Paneuropean University Apeiron All Rights Reserved