Skip to main content

Aviation Aircraft Planning System Project Development

  • Conference paper
  • First Online:

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1080))

Abstract

Since the airspace is subordinated to the territories of different states, different authorities, such as Eurocontrol in Europe and FAA in America, etc., an acute need for a product that would provide easy, fast, high-quality flight planning, their proper dissemination, formation of necessary documents, etc. arises. Purpose is to cluster all necessary planning flights items, functions, united informational system data. This system is designed to ease flight plan description in Eurocontrol database etc., provide its correct dissemination to all controllers, towers, airports etc. This project will help to omit difficult and long-lasting phone calls, automate and optimize flight plan rendering, provide with high data accuracy. The pilot also can easily check the weather at the airports during the flight. Adding all necessary characteristics of the plane, the system will calculate fuel consumption for all approved flights. Besides, all available and necessary documents will be established into unified document or database. Object study is aviation aircrafts flights planning. Subject study is aviation aircraft planning informational system project development. Novelties are few programs nowadays, which could rapidly, easily and qualitatively schedule aviation aircrafts flights of general-purpose. Many programs are very narrow focused and don’t give access to full functionality, others are highly expensive to operate them. So, this informational system project will be multifunctional and of high quality at the same time which cause its enormous demand. Flights planning aviation aircrafts of general-purpose informational system project will have enormous demand all across the globe. However, Europe would be the dominant user since airspace is under vigilant superintendence of Eurocontrol and number of rules, prohibitions and requirements covers these lands. Created application ensures easy and fast itinerary scheduling around the most problematical areas of Europe.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Harik, R.F., Derigent, W.J., Ris, G.: Computer aided process planning in aircraft manufacturing. Comput.-Aided Des. Appl. 5(6), 953–962 (2008)

    Article  Google Scholar 

  2. Ashford, N.J., Mumayiz, S., Wright, P.H.: Airport Engineering: Planning, Design, and Development of 21st Century Airports. Wiley, Hoboken (2011)

    Book  Google Scholar 

  3. Torenbeek, E.: Synthesis of Subsonic Airplane Design: An Introduction to the Preliminary Design of Subsonic General Aviation and Transport Aircraft, with Emphasis on Layout, Aerodynamic Design. Propulsion and Performance. Springer, Dordrecht (2013)

    Google Scholar 

  4. Austin, R.: Unmanned Aircraft Systems: UAVS Design, Development and Deployment, vol. 54. Wiley, Chichester (2011)

    Google Scholar 

  5. Lypak, H., Rzheuskyi, A., Kunanets, N., Pasichnyk, V.: Formation of a consolidated information resource by means of cloud technologies. In: International Scientific-Practical Conference on Problems of Info Communications Science and Technology (2018)

    Google Scholar 

  6. Rzheuskyi, A., Kunanets, N., Stakhiv, M.: Recommendation system: virtual reference. In: 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), pp. 203–206 (2018)

    Google Scholar 

  7. Kaminskyi, R., Kunanets, N., Rzheuskyi, A.: Mathematical support for statistical research based on informational technologies. In: CEUR Workshop Proceedings, vol. 2105, pp. 449–452 (2018)

    Google Scholar 

  8. Obermaier, J., Hutle, M.: Analyzing the security and privacy of cloud-based video surveillance systems. In: Proceedings of the 2nd ACM International Workshop on IoT Privacy, Trust, and Security, pp. 22–28 (2016)

    Google Scholar 

  9. Xu, D., Wang, R., Shi, Y.Q.: Data hiding in encrypted H. 264/AVC video streams by codeword substitution. IEEE Trans. Inf. Forensics Secur. 9(4), 596–606 (2014)

    Google Scholar 

  10. Saxena, M., Sharan, U., Fahmy, S.: Analyzing video services in web 2.0: a global perspective. In: Proceedings of the 18th International Workshop on Network and Operating Systems Support for Digital Audio and Video, pp. 39–44 (2008)

    Google Scholar 

  11. Brône, G., Oben, B., Goedemé, T.: Towards a more effective method for analyzing mobile eye-tracking data: integrating gaze data with object recognition algorithms. In: Proceedings of the 1st International Workshop on Pervasive Eye Tracking & Mobile Eye-Based Interaction, pp. 53–56 (2011)

    Google Scholar 

  12. Reibman, A.R., Sen, S., Van der Merwe, J.: Analyzing the spatial quality of internet streaming video. In: Proceedings of International Workshop on Video Processing and Quality Metrics for Consumer Electronics (2005)

    Google Scholar 

  13. Perniss, P.: Collecting and analyzing sign language data: video requirements and use of annotation software. In: Research Methods in Sign Language Studies, pp. 56–73 (2015)

    Google Scholar 

  14. Tran, B.Q.: U.S. Patent No. 8,849,659. U.S. Patent and Trademark Office, Washington, DC (2014)

    Google Scholar 

  15. Badawy, W., Gomaa, H.: U.S. Patent No. 9,014,429. U.S. Patent and Trademark Office, Washington, DC (2015)

    Google Scholar 

  16. Badawy, W., Gomaa, H.: U.S. Patent No. 8,630,497. U.S. Patent and Trademark Office, Washington, DC (2014)

    Google Scholar 

  17. Golan, O., Dudovich, B., Daliyot, S., Horovitz, I., Kiro, S.: U.S. Patent No. 8,885,047. U.S. Patent and Trademark Office, Washington, DC (2014)

    Google Scholar 

  18. Chambers, C.A., Gagvani, N., Robertson, P., Shepro, H.E.: U.S. Patent No. 8,204,273. U.S. Patent and Trademark Office, Washington, DC (2012)

    Google Scholar 

  19. Maes, S.H.: U.S. Patent No. 7,917,612. U.S. Patent and Trademark Office, Washington, DC (2011)

    Google Scholar 

  20. Zdebskyi, P., Vysotska, V., Peleshchak, R., Peleshchak, I., Demchuk, A., Krylyshyn, M.: An application development for recognizing of view in order to control the mouse pointer. In: CEUR Workshop Proceedings, vol. 2386, pp. 55–74 (2019)

    Google Scholar 

  21. Rusyn, B., Lytvyn, V., Vysotska, V., Emmerich, M., Pohreliuk, L.: The virtual library system design and development. In: Advances in Intelligent Systems and Computing, vol. 871, pp. 328–349 (2019)

    Google Scholar 

  22. Rusyn, B., Lutsyk, O., Lysak, O., Lukeniuk, A., Pohreliuk, L.: Lossless image compression in the remote sensing applications. In: International Conference on Data Stream Mining & Processing (DSMP), pp. 195–198 (2016)

    Google Scholar 

  23. Rusyn, B., Vysotska, V., Pohreliuk, L.: Model and architecture for virtual library information system. In: Computer Sciences and Information Technologies, CSIT, pp. 37–41 (2018)

    Google Scholar 

  24. Kravets, P.: The control agent with fuzzy logic. In: Perspective Technologies and Methods in MEMS Design, MEMSTECH 2010, pp. 40–41 (2010)

    Google Scholar 

  25. Babichev, S., Gozhyj, A., Kornelyuk, A., Litvinenko, V.: Objective clustering inductive technology of gene expression profiles based on SOTA clustering algorithm. Biopolymers and Cell 33(5), 379–392 (2017)

    Article  Google Scholar 

  26. Nazarkevych, M., Klyujnyk, I., Nazarkevych, H.: Investigation the ateb-gabor filter in biometric security systems. In: Data Stream Mining & Processing, pp. 580–583 (2018)

    Google Scholar 

  27. Emmerich, M., Lytvyn, V., Yevseyeva, I., Fernandes, V.B., Dosyn, D., Vysotska, V.: Preface: modern machine learning technologies and data science (MoMLeT&DS-2019). In: CEUR Workshop Proceedings, vol. 2386 (2019)

    Google Scholar 

  28. Vysotska, V., Burov, Y., Lytvyn, V., Demchuk, A.: Defining author’s style for plagiarism detection in academic environment. In: Proceedings of the 2018 IEEE 2nd International Conference on Data Stream Mining and Processing, DSMP 2018, pp. 128–133 (2018)

    Google Scholar 

  29. Lytvyn, V., Peleshchak, I., Vysotska, V., Peleshchak, R.: Satellite spectral information recognition based on the synthesis of modified dynamic neural networks and holographic data processing techniques. In: International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), pp. 330–334 (2018)

    Google Scholar 

  30. Su, J., Sachenko, A., Lytvyn, V., Vysotska, V., Dosyn, D.: Model of touristic information resources integration according to user needs. In: International Scientific and Technical Conference on Computer Sciences and Information Technologies, pp. 113–116 (2018)

    Google Scholar 

  31. Lytvyn, V., Sharonova, N., Hamon, T., Cherednichenko, O., Grabar, N., Kowalska-Styczen, A., Vysotska, V.: Preface: Computational Linguistics and Intelligent Systems (COLINS-2019). In: CEUR Workshop Proceedings, vol. 2362 (2019)

    Google Scholar 

  32. Burov, Y., Vysotska, V., Kravets, P.: Ontological approach to plot analysis and modeling. In: CEUR Workshop Proceedings, vol. 2362, pp. 22–31 (2019)

    Google Scholar 

  33. Vysotska, V., Lytvyn, V., Burov, Y., Berezin, P., Emmerich, M., Basto Fernandes V.: Development of information system for textual content categorizing based on ontology. In: CEUR Workshop Proceedings, vol. 2362, pp. 53–70 (2019)

    Google Scholar 

  34. Lytvyn, V., Vysotska, V., Kuchkovskiy, V., Bobyk, I., Malanchuk, O., Ryshkovets, Y., Pelekh, I., Brodyak, O., Bobrivetc, V., Panasyuk, V.: Development of the system to integrate and generate content considering the cryptocurrent needs of users. Eastern-Eur. J. Enterp. Technol. 1(2–97), 18–39 (2019)

    Article  Google Scholar 

  35. Lytvyn, V., Kuchkovskiy, V., Vysotska, V., Markiv, O., Pabyrivskyy, V.: Architecture of system for content integration and formation based on cryptographic consumer needs. In: Computer Sciences and Information Technologies, CSIT, pp. 391–395 (2018)

    Google Scholar 

  36. Lytvyn, V., Vysotska, V., Demchuk, A., Demkiv, I., Ukhanska, O., Hladun, V., Kovalchuk, R., Petruchenko, O., Dzyubyk, L., Sokulska, N.: Design of the architecture of an intelligent system for distributing commercial content in the internet space based on SEO-technologies, neural networks, and machine learning. Eastern-Eur. J. Enterp. Technol. 2(2–98), 15–34 (2019)

    Article  Google Scholar 

  37. Chyrun, L., Gozhyj, A., Yevseyeva, I., Dosyn, D., Tyhonov, V., Zakharchuk, M.: Web content monitoring system development. In: CEUR Workshop Proceedings, vol. 2362, pp. 126–142 (2019)

    Google Scholar 

  38. Bisikalo, O., Ivanov, Y., Sholota, V.: Modeling the phenomenological concepts for figurative processing of natural-language constructions. In: CEUR Workshop Proceedings, vol. 2362, pp. 1–11 (2019)

    Google Scholar 

  39. Babichev, S., Taif, M.A., Lytvynenko, V., Osypenko, V.: Criterial analysis of gene expression sequences to create the objective clustering inductive technology. In: 2017 IEEE 37th International Conference on Electronics and Nanotechnology, pp. 244–248 (2017)

    Google Scholar 

  40. Kazarian, A., Kunanets, N., Pasichnyk, V., Veretennikova, N., Rzheuskyi, A., Leheza, A., Kunanets, O.: complex information e-science system architecture based on cloud computing model. In: CEUR Workshop Proceedings, vol. 2362, pp. 366–377 (2019)

    Google Scholar 

  41. Veres, O., Rishnyak, I., Rishniak, H.: Application of methods of machine learning for the recognition of mathematical expressions. In: CEUR Workshop Proceedings, vol. 2362, pp. 378–389 (2019)

    Google Scholar 

  42. Lytvyn, V., Vysotska, V., Rusyn, B., Pohreliuk, L., Berezin, P., Naum O.: Textual content categorizing technology development based on ontology. In: CEUR Workshop Proceedings, vol. 2386, pp. 234–254 (2019)

    Google Scholar 

  43. Lytvyn, V., Vysotska, V., Dosyn, D., Lozynska, O., Oborska, O.: Methods of building intelligent decision support systems based on adaptive ontology. In: Proceedings of the 2018 IEEE 2nd International Conference on Data Stream Mining and Processing, DSMP 2018, pp. 145–150 (2018)

    Google Scholar 

  44. Vysotska, V., Lytvyn, V., Burov, Y., Gozhyj, A., Makara, S.: The consolidated information web-resource about pharmacy networks in city. In: CEUR Workshop Proceedings, pp. 239–255 (2018)

    Google Scholar 

  45. Basyuk, T.: The main reasons of attendance falling of internet resource. In: Proceedings of the X-th International Conference on Computer Science and Information Technologies, CSIT 2015, pp. 91–93 (2015)

    Google Scholar 

  46. Gozhyj, A., Chyrun, L., Kowalska-Styczen, A., Lozynska, O.: Uniform method of operative content management in web systems. In: CEUR Workshop Proceedings (Computational Linguistics and Intelligent Systems, vol. 2136, pp. 62–77 (2018)

    Google Scholar 

  47. Lytvyn, V., Vysotska, V., Rzheuskyi, A.: Technology for the psychological portraits formation of social networks users for the IT specialists recruitment based on big five, NLP and big data analysis. In: CEUR Workshop Proceedings, vol. 2392, pp. 147–171 (2019)

    Google Scholar 

  48. Vysotska, V., Burov, Y., Lytvyn, V., Oleshek, O.: Automated monitoring of changes in web resources. In: Lecture Notes in Computational Intelligence and Decision Making, vol. 1020, pp. 348–363 (2020)

    Google Scholar 

  49. Demchuk, A., Lytvyn, V., Vysotska, V., Dilai, M.: Methods and means of web content personalization for commercial information products distribution. In: Lecture Notes in Computational Intelligence and Decision Making, vol. 1020, pp. 332–347 (2020)

    Google Scholar 

  50. Vysotska, V., Mykhailyshyn, V., Rzheuskyi, A., Semianchuk, S.: System development for video stream data analyzing. In: Lecture Notes in Computational Intelligence and Decision Making, vol. 1020, pp. 315–331 (2020)

    Google Scholar 

  51. Lytvynenko, V., Wojcik, W., Fefelov, A., Lurie, I., Savina, N., Voronenko, M., et al.: Hybrid methods of GMDH-neural networks synthesis and training for solving problems of time series forecasting. In: Lecture Notes in Computational Intelligence and Decision Making, vol. 1020, pp. 513–531 (2020)

    Google Scholar 

  52. Babichev, S., Durnyak, B., Pikh, I., Senkivskyy, V.: An evaluation of the objective clustering inductive technology effectiveness implemented using density-based and agglomerative hierarchical clustering algorithms. In: Lecture Notes in Computational Intelligence and Decision Making, vol. 1020, pp. 532–553 (2020)

    Google Scholar 

  53. Bidyuk, P., Gozhyj, A., Kalinina, I.: Probabilistic inference based on LS-method modifications in decision making problems. In: Lecture Notes in Computational Intelligence and Decision Making, vol. 1020, pp. 422–433 (2020)

    Google Scholar 

  54. Chyrun, L., Chyrun, L., Kis, Y., Rybak, L.: Automated information system for connection to the access point with encryption WPA2 enterprise. In: Lecture Notes in Computational Intelligence and Decision Making, vol. 1020, pp. 389–404 (2020)

    Google Scholar 

  55. Kis, Y., Chyrun, L., Tsymbaliak, T., Chyrun, L.: Development of system for managers relationship management with customers. In: Lecture Notes in Computational Intelligence and Decision Making, vol. 1020, pp. 405–421 (2020)

    Google Scholar 

  56. Chyrun, L., Kowalska-Styczen, A., Burov, Y., Berko, A., Vasevych, A., Pelekh, I., Ryshkovets, Y.: Heterogeneous data with agreed content aggregation system development. In: CEUR Workshop Proceedings, vol. 2386, pp. 35–54 (2019)

    Google Scholar 

  57. Chyrun, L., Burov, Y., Rusyn, B., Pohreliuk, L., Oleshek, O., Gozhyj, Bobyk, I.: Web resource changes monitoring system development. In: CEUR Workshop Proceedings, vol. 2386, pp. 255–273 (2019)

    Google Scholar 

  58. Veres, O., Rusyn, B., Sachenko, A., Rishnyak, I.: Choosing the method of finding similar images in the reverse search system. In: CEUR Workshop Proceedings, vol. 2136, pp. 99–107 (2018)

    Google Scholar 

  59. Mukalov, P., Zelinskyi, O., Levkovych, R., Tarnavskyi, P., Pylyp, A., Shakhovska, N.: Development of system for auto-tagging articles, based on neural network. In: CEUR Workshop Proceedings, vol. 2362, pp. 106–115 (2019)

    Google Scholar 

  60. Rzheuskyi, A., Gozhyj, A., Stefanchuk, A., Oborska, O., Chyrun, L., Lozynska, O., Mykich, K., Basyuk, T.: Development of mobile application for choreographic productions creation and visualization. In: CEUR Workshop Proceedings, vol. 2386, pp. 340–358 (2019)

    Google Scholar 

  61. Sachenko, S., Rippa, S., Krupka, Y.: Pre-conditions of ontological approaches application for knowledge management in accounting. In: IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, pp. 605–608 (2009)

    Google Scholar 

  62. Sachenkom, S., Lendyuk, T., Rippa, S.: Simulation of computer adaptive learning and improved algorithm of pyramidal testing. In: International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), vol. 2, pp. 764–770 (2013)

    Google Scholar 

  63. Sachenko, S., Lendyuk, T., Rippa, S., Sapojnyk, G.: Fuzzy rules for tests complexity changing for individual learning path construction. In: Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, pp. 945–948 (2015)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Vasyl Lytvyn .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Lytvyn, V. et al. (2020). Aviation Aircraft Planning System Project Development. In: Shakhovska, N., Medykovskyy, M.O. (eds) Advances in Intelligent Systems and Computing IV. CSIT 2019. Advances in Intelligent Systems and Computing, vol 1080. Springer, Cham. https://doi.org/10.1007/978-3-030-33695-0_23

Download citation

Publish with us

Policies and ethics