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Intelligent Monitoring of Loading and Unloading Process in Enterprise Transport System

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Future Access Enablers for Ubiquitous and Intelligent Infrastructures (FABULOUS 2022)

Abstract

Organizations and businesses need an information infrastructure that will enable them to cope with the enormously rapid development, i.e. the process of globalization and integration of the world economy. It allows you to make accurate decisions in real-time, focus on customer dissatisfaction while maintaining competitiveness and profitability. The result is optimising the supply chain to integrate processes, approaches, systems, databases, strategies between different business partners. The consequence of e-technology is the reorganization of the enterprise's current information base, the calculation of implementation costs, and the consideration of the marketing approach as a source of information advantage. For logistics, it means a significant reduction in delivery times, increasing receipt and order processing automation. High flexibility and reliability are expected, costs do not show an increase, and the importance of planning in the chain is growing, which must be faster and more accurate. The paper aims to monitor the loading and unloading of goods from rail transport using a simulation program regarding protecting employees’ health, minimizing the time required for unloading and loading pallets with goods.

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References

  1. Periša, M., Cvitić, I., Peraković, D., Husnjak, S.: Beacon technology for real-time in forming the traffic network users about the environment. Transport 34, 373–382 (2019). https://doi.org/10.3846/transport.2019.10402

    Article  Google Scholar 

  2. Davis, J.: 3D modeling CAD software. https://www.3dhubs.com/knowledge-base/3d-modeling-cad-software/. Accessed 15 Oct 2020

  3. Matulić, I., Msa, M., Peraković, D.: Information and communication infrastructure for the organisation of railway passenger transport. In: Čokorilo, O. (ed.) Proceedings of the Second International Conference on Traffic and Transport Engineering ICTTE. City Net Scientific Research Center Ltd., Belgrade, Serbia, pp 410–419 (2014)

    Google Scholar 

  4. Optimizing Target Detection and Tracking Stability. https://library.vuforia.com/features/images/image-targets/best-practices-for-designing-and-developing-image-based-targets.html. Accessed 21 Oct 2021

  5. Cvitić, I., Peraković, D., Periša, M., Husnjak, S.: An overview of distributed denial of service traffic detection approaches. Promet - Traffic Transp. 31, 453–464 (2019). https://doi.org/10.7307/ptt.v31i4.3082

    Article  Google Scholar 

  6. European Commission: Directive 2008/57/EC of the European Parliament and of the Council of 17 June 2008 on the interoperability of the rail system within the Community (2008)

    Google Scholar 

  7. Lyons, G., Jain, J., Weir, I.: Changing times – a decade of empirical insight into the experience of rail passengers in Great Britain. J. Transp. Geogr. 57, 94–104 (2016). https://doi.org/10.1016/j.jtrangeo.2016.10.003

    Article  Google Scholar 

  8. Transport Focus: Rail passengers’ priorities for improvements (2014). https://www.transportfocus.org.uk/publication/rail-passengers-priorities-for-improvements-october-2014/. Accessed 17 Sep 2021

  9. Peña Miñano, S., et al.: A review of digital way finding technologies in the transportation industry. In: Advances in Trans disciplinary Engineering. IOS Press BV, pp 207–212 (2017)

    Google Scholar 

  10. Camacho, T.D., Foth, M., Rakotonirainy, A.: Pervasive technology and public transport: opportunities beyond telematics. IEEE Pervasive Comput. 12, 18–25 (2013). https://doi.org/10.1109/MPRV.2012.61

    Article  Google Scholar 

  11. Nagyova, A., Pacaiova, H., Markulik, S., et al.: Design of a model for risk reduction in project management in small and medium-sized enterprises. Symetry-Basel 13(5), 763 (2021). https://doi.org/10.3390/sym13050763

    Article  Google Scholar 

  12. Shao, X., Liu, J.J., Gao, Z.M., Wang, P.: A study on intelligent onboard rail passenger service systems. In: Ni, Y.Q., Ye, X. (eds.) Proceedings of the 1st International Workshop on High-Speed and Intercity Railways. Springer, Heidelberg, pp 69–82 (2012). https://doi.org/10.1007/978-3-642-27960-7_7

  13. Straka, M., Khouri, S., et al.: Utilization of computer simulation for waste separation design as a logistics system. Int. J. Simul. Model. 17(4), 83–596 (2018). https://doi.org/10.2507/IJSIMM17(4)444

    Article  Google Scholar 

  14. Kornaszewski, M., Pniewski, R.: The impact of new telematics solutions on the safety of railway traffic on the example of modern simulators railway traffic control devices. In: Mikulski, J. (ed.) Development of Transport by Telematics, pp. 32–43. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-27547-1_3

    Chapter  Google Scholar 

  15. European Commission: COMMISSION REGULATION (EU) No 454/2011 of 5 May 2011 on the technical specification for interoperability relating to the subsystem ‘telematics applications for passenger services’ of the trans-European rail system (Text with EEA relevance) (2011)

    Google Scholar 

  16. Zorić, P., Mikulčić, M., Musa, M., Kuljanić, T.M.: Analysis of available information and communication solutions and services for railway passenger information in the EU. In: Knapčíková, L., Peraković, D., Behúnová, A., Perisa, M. (eds.) 5th EAI International Conference on Management of Manufacturing Systems. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-67241-6_29

  17. Peraković, D., Periša, M., Petrović, M., Cvitić, I., Zorić, P.: Studija implementacije sustava informiranja putnika na željezničkoj mreži. Zagreb, Croatia (2020)

    Google Scholar 

  18. Peraković, D., Periša, M., Cvitić, I., Brletić, L.: Innovative services for informing visually impaired persons in indoor environments. EAI Endorsed Trans. Internet Things 4, e4 (2018). https://doi.org/10.4108/eai.5-3-2019.156720

    Article  Google Scholar 

  19. Pacaiova, H., Sinay, J., Markulik, S., et al.: Measuring the qualitative actors on copper wire surface. Measurement 109, 359–365 (2017). https://doi.org/10.1016/j.measurement.2017.06.002

    Article  Google Scholar 

  20. Periša, M., Kuljanić, T.M., Cvitić, I., Kolarovszki, P.: Conceptual model for informing user with innovative smart wearable device in industry 4.0. Wireless Netw. 27(3), 1615–1626 (2019). https://doi.org/10.1007/s11276-019-02057-9

    Article  Google Scholar 

  21. Meinig, M., Sukmana, M.I., Torkura, K.A., Meinel, C.: Holistic strategy-based threat model for organizations. Proc. Comput. Sci. 151, 100–107 (2019)

    Article  Google Scholar 

  22. Islam, M.A., Vrbsky, S.V.: Transaction management with tree-based consistency in cloud databases. Int. J. Cloud Comput. 6(1), 58–78 (2017)

    Article  Google Scholar 

  23. Gou, Z., Yamaguchi, S., et al.: Analysis of various security issues and challenges in cloud computing environment: a survey. Identity Theft: Breakthroughs in Research and Practice, pp. 221–247. IGI global (2017)

    Google Scholar 

  24. Olakanmi, O.O., Dada, A.: An efficient privacy-preserving approach for secure verifiable outsourced computing on untrusted platforms. Int. J. Cloud Appl. Comput. (IJCAC) 9(2), 79–98 (2019)

    Google Scholar 

  25. Song, D., Shi, E., Fischer, I., Shankar, U.: Cloud data protection for the masses. Computer 45(1), 39–45 (2012)

    Article  Google Scholar 

  26. Tran, H.-Y., Jiankun, H.: Privacy-preserving big data analytics a comprehensive survey. Parallel Distrib. Comput. 134, 207–218 (2019)

    Article  Google Scholar 

  27. Hugos, M.H., Hulitzky, D.: Business in the Cloud: What Every Business Needs to Know About Cloud Computing. John Wiley & Sons, Hoboken, p. 139 (2010)

    Google Scholar 

  28. Mehmood, U., Moser, I., Jayaraman, P.P., Banerjee, A.: Occupancy estimation using Wi-Fi: a case study for counting passengers on busses. In: IEEE 5th World Forum on Internet of Things, pp 165–170 (2019)

    Google Scholar 

  29. Prandi, C., Nunes, N., Ribeiro, M., Nisi, V.: Enhancing sustainable mobility awareness by exploiting multi-sourced data: the case study of the Madeira Islands. In: Sustainable Internet and ICT for Sustainability (SustainIT), Funchal, pp. 1–5 (2017)

    Google Scholar 

  30. Oransirikul, T., Nishide, R., Piumarta, I., Takada, H.: Measuring bus passenger load by monitoring Wi-Fi transmissions from mobile devices. Procedia Technol. 18, 120–125 (2014)

    Article  Google Scholar 

  31. Le, T.V., Song, B., Wynter, L.: Real-time prediction of length of stay using passive Wi-Fi sensing. In: 2017 IEEE International Conference on Communications (ICC), Paris, pp. 1–6 (2017)

    Google Scholar 

  32. Grgurević, I., Juršić, K., Rajič, I.: Review of automatic passenger counting systems in public urban transport. In: Proceedings of 5th EAI International Conference on Management of Manufacturing Systems, EAI MMS 2020, Cyberspace (2020)

    Google Scholar 

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Acknowledgements

This paper is part of a project that has received funding from the European Union´s Horizon 2020 research and innovation programme under grant agreement No.723274.

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Correspondence to Lucia Knapčíková .

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Knapčíková, L., Martiček, M., Husár, J., Kaščak, J. (2022). Intelligent Monitoring of Loading and Unloading Process in Enterprise Transport System. In: Perakovic, D., Knapcikova, L. (eds) Future Access Enablers for Ubiquitous and Intelligent Infrastructures. FABULOUS 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 445. Springer, Cham. https://doi.org/10.1007/978-3-031-15101-9_14

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  • DOI: https://doi.org/10.1007/978-3-031-15101-9_14

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