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Automated Creation of Cyber-Physical Museum Exhibits Using a Scientific Visualization System on a Chip

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Abstract

This paper is devoted to automating the development of standalone scientific visualization modules based on systems on chips with custom tangible user interfaces. Modules of this type can be used as interactive exhibits in the so-called smart museum. The basic idea of the automation lies in software generation leveraged by the SciVi ontology-driven platform. By extending the underlying ontologies of SciVi, we enable this platform to generate code for the Raspberry Pi and Orange Pi systems on chips. The algorithms for the generated software are described in the SciVi platform by means of a high-level visual programming language based on data flow diagrams. Scientific visualization support in the generated software is based on hardware graphics acceleration implemented via OpenGL ES API. Tangible user interface support is implemented by linking special libraries and utilizing operating system APIs to interconnect the system on a chip with its peripheral devices. The effectiveness of the proposed approach is confirmed in practice by developing several cyber-physical museum items for the “Transmutations” exhibition in the Kidsmuseum, a branch of the Perm Regional Museum (Perm city).

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REFERENCES

  1. Chianese, A. and Piccialli, F., Designing a smart museum: When cultural heritage joins IoT, Proc. 3rd Int. Conf. Technologies and Applications for Smart Cities (I-TASC), 2014. https://doi.org/10.1109/NGMAST.2014.21

  2. Manakov, D.V., Visual analytics and data abstraction models, Proc. 28th Int. Conf. Computer Graphics and Vision (GraphiCon), Tomsk, 2018, pp. 146–150.

  3. Ryabinin, K.V. and Kolesnik, M.A., Adaptive scientific visualization tools for a smart paleontological museum, Program. Comput. Software, 2019, vol. 45, no. 4, pp. 180–186. https://doi.org/10.1134/S0361768819040066

    Article  Google Scholar 

  4. Ryabinin, K.V., Kolesnik, M.A., Akhtamzyan, A.I., and Sudarikova, E.V., Cyber-physical museum exhibits based on additive technologies, tangible interfaces and scientific visualization, Sci. Visualization, 2019, vol. 11, no. 4, pp. 27–42. https://doi.org/10.26583/sv.11.4.03

    Article  Google Scholar 

  5. Ibanez, L., Raspberry Pi likes VTK, 2012. https://blog.kitware.com/raspberry-pi-likes-vtk.

  6. Buscher, N., Ojeda, A., Francoeur, M., Hulyalkar, S., Claros, C., Tang, T., Terry, A., Gupta, A., Fakhraei, L., and Ramanathan, D.S., Open-source Raspberry Pi-based operant box for translational behavioral testing in rodents, J. Neurosci. Methods, 2020, vol. 342. https://doi.org/10.1016/j.jneumeth.2020.108761

  7. Rossetti, V., Furfari, F., Leporini, B., Pelagatti, S., and Quarta, A., Enabling access to cultural heritage for the visually impaired: An interactive 3D model of a cultural site, Procedia Comput. Sci., 2018, vol. 130, pp. 383–391. https://doi.org/10.1016/j.procs.2018.04.057

    Article  Google Scholar 

  8. Diallo, A.D., Gobee, S., and Durairajah, V., Autonomous tour guide robot using embedded system control, Procedia Comput. Sci., 2015, vol. 76, pp. 126–133. https://doi.org/10.1016/j.procs.2015.12.302

    Article  Google Scholar 

  9. Ryabinin, K.V. and Chuprina, S.I., Using scientific visualization systems to automate monitoring of data generated by lightweight programmable electronic devices, Program. Comput. Software, 2018, vol. 44, no. 4, pp. 278–285. https://doi.org/10.1134/S0361768818040102

    Article  Google Scholar 

  10. Ryabinin, K., Chuprina, S., and Belousov, K., Ontology-driven automation of IoT-based human–machine interfaces development, Lect. Notes Comput. Sci., 2019, vol. 11540, pp. 110–124. https://doi.org/10.1007/978-3-030-22750-0_9

    Article  Google Scholar 

  11. KNIME official website. https://www.knime.com.

  12. Blender 3D official website. https://www.blender.org.

  13. Allen, J.A., The influence of physical conditions in the genesis of species, Radical Rev., 1877, vol. 1, pp. 108–140.

    Google Scholar 

  14. Barros, C., MatCap: Render and art pipeline optimization for mobile devices, 2019. https://medium.com/playkids-tech-blog/matcap-render-art-pipeline-optimization-for-mobile-devices-4e1a520b9f1a.

  15. Chuprina, S. and Nasraoui, O., Using ontology-based adaptable scientific visualization and cognitive graphics tools to transform traditional information systems into intelligent systems, Sci. Visualization, 2016, vol. 8, no. 1, pp. 23–44.

    Google Scholar 

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ACKNOWLEDGMENTS

We are grateful to S.L. Ostrovskii and U.Sh. Sairanova for the opportunity to participate in the creation of the “Transmutations” exhibition. We are also grateful to A.S. Koshelev for his help in designing the frames of the cyber-physical exhibits.

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Authors and Affiliations

  1. Perm State National Research University, ul. Bukireva 15, 614990, Perm, Russia

    K. V. Ryabinin

  2. Perm Regional Museum, ul. Monastyrskaya 11, 614000, Perm, Russia

    M. A. Kolesnik

Authors
  1. K. V. Ryabinin
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  2. M. A. Kolesnik
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Correspondence to K. V. Ryabinin or M. A. Kolesnik.

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Translated by Yu. Kornienko

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Ryabinin, K.V., Kolesnik, M.A. Automated Creation of Cyber-Physical Museum Exhibits Using a Scientific Visualization System on a Chip. Program Comput Soft 47, 161–166 (2021). https://doi.org/10.1134/S0361768821030099

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  • DOI: https://doi.org/10.1134/S0361768821030099

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