Logo PTI
Polish Information Processing Society
Logo FedCSIS

Annals of Computer Science and Information Systems, Volume 8

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems

Design of Crowdsourcing System for Analysis of Gravitational Flow using X-ray Visualization

, ,

DOI: http://dx.doi.org/10.15439/2016F288

Citation: Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 8, pages 16131619 ()

Full text

Abstract. The paper describes application of the Crowdsourcing system to pre-process of X-ray tomography images. In this paper, we show the analysis of the Crowdsourcing system applied to process tomography imaging to investigate granular flow with aid of tracking particles. Applying Crowdsourcing approach coupled with a proper system interface design enhances the performance of the workers and elevates the attitude. We show here how analysis of the proposed systems in terms of user adoption and performance. Proposed interface features are designed based on previous work evaluation in order to reduce the cognitive and physical workload demands.


  1. Brabham, D. C., "Crowdsourcing as a Model for Problem Solving: an introduction and cases", Convergence: The International Journal of Research into New Media Technologies 14(1), pp. 75–90, 2008.
  2. Howe J., Crowdsourcing: why the power of the crowd is driving the future of business, New York: Crown Business, 2008.
  3. Chen C., Wozniak P., Romanowski A., Obaid M., Jaworski T., Kucharski J., Grudzien K., Zhao S., Fjeld M., "Using Crowdsourcing for Scientific Analysis of Industrial Tomographic Images", ACM Transactions on Intelligent Systems and Technology (TIST),Vol. 7, 4, Article 52, 2016, http://dx.doi.org/http://dx.doi.org/10.1145/2897370, 26p.
  4. Stol, K.J. and Fitzgerald, B. Researching, "Crowdsourcing software development: perspectives and concerns", ICSE14 Workshop on Crowdsourcing in Software Engineering, pp. 7-10, 2014.
  5. G. Little, L. Chilton, M. Goldman and R.C. Miller, "Exploring iterative and parallel human computation processes", HCOMP ’10 Proceedings of the ACM SIGKDD Workshop on Human Computation, pp. 68-76, 2010.
  6. NASA Citizen Science Lab: http://beamartian.jpl.nasa.gov/welcome.
  7. ww.milkywayproject.org the Milky Way project news: http://www.jpl.nasa.gov/news/news.cfm?release=2012-062
  8. www.kickstarter.com/projects/doublefine/double-fine-adventure.
  9. D. Schulze, Powders and Bulk Solids: Behavior, Characterization, Storage and Flow, Springer, Verlag, Berlin, GmbH Co. K., 512 p., 2008.
  10. K. Grudzien and M H. de la Torre Gonzalez, "Detection of tracer particles in tomography images for analysis of gravitational flow in silo", Image Processing and Communications, Vol. 18, pp. 11-22, 2013.
  11. L. Babout, K. Grudzien, E. Maire, and PJ. Withers, "Influence of wall roughness and packing density on stagnant zone formation during funnel flow discharge from a silo: An X-ray imaging study", Chemical Engineering Science, 97, pp. 210224, 2013.
  12. Półrola M., Wojciechowski A., "Real-Time Hand Pose Estimation Using Classifiers", Computer Vision and Graphics: International Conference, ICCVG 2012, Warsaw, Springer Berlin Heidelberg, pp. 573–580, 2012.
  13. Irshad H., Montaser-Kouhsari L., Waltz G., Bucur O., Nowak J.A., Dong F., Knoblauch N.W. and Beck A. H., “Crowdsourcing image annotation for nucleus detection and segmentation in computational pathology: evaluating experts, automated methods, and the crowd,” Pacific Symposium on Biocomputing, pp.294-305, 2015.
  14. Deepti Ghadiyaram, Alan C. Bovik, "Crowdsourced study of subjective image quality", 48th Asilomar Conference on Signals, Systems and Computers, pp. 84-88, IEEE, 2014
  15. Cabezas F., Carlier A., Salvador A., Giro-i-Nieto X., Charvillat V., "Quality Control in Crowdsourced Object Segmentation", IEEE International Conference on Image Processing (ICIP), Quebec City, Human-Computer Interaction, 2015, http://dx.doi.org/10.1109/ICIP.2015.7351606.
  16. Flavio Ribeiro, Dinei Florencio ; Vitor Nascimento, "Crowdsourcing subjective image quality evaluation", 2011 18th IEEE International Conference on Image Processing, pp. 3097-3100, http://dx.doi.org/10.1109/ICIP.2011.6116320.
  17. Max H Sims, Maria Fagnano, Jill S Halterman, Marc W Halterman, "Provider impressions of the use of a mobile crowdsourcing app in medical practice", Health Informatics Journal August 28, 2014.
  18. Meyer A.N.D; , Christopher A Longhurst, Hardeep Singh, "Crowdsourcing Diagnosis for Patients With Undiagnosed Illnesses: An Evaluation of CrowdMed", Journal Of Medical Internet Research, vol. 18, No 1, 2016.
  19. Liliya I. Besaleva, CrowdHelp: "A crowdsourcing application for improving disaster management", Global Humanitarian Technology Conference (GHTC), IEEE, pp. 185-190, 2013.
  20. Romanowski, A.; Grudzien, K.; Chaniecki, Z.; Wozniak, P., "Contextual processing of ECT measurement information towards detection of process emergency states", 13th International Conference on Hybrid Intelligent Systems (HIS), TUNISIA, IEEE, pp. 291–297, 2013.
  21. Romanowski, A.; Grudzien, K.; Sankowski, D.; Aykroyd, R.G.; Williams R.A., "Advanced statistical computing for capacitance tomography as a monitoring and control tool", 15th International Conference on Intelligent Systems Design and Applications (ISDA 2005), Wroclaw, Poland, pp. 49-54, 2005.
  22. Wajman, R.; Fiderek, P.; Fidos, H.; Nowakowski, J.; Sankowski, D.; Banasiak, R., "Metrological evaluation of 3D electrical capacitance tomography measurement system for two-phase flow fraction determination", Measurement Science and Technology, vol. 24, no. 6, pp. 1-11, 2013.
  23. Mosorow, W., "Flow Pattern Tracing for Mass Flow Rate Measurement in Pneumatic Conveying Using Twin Plane Electrical Capacitance Tomography", Particle and Particle Systems Characterization, vol. 25, no. 3, pp. 259-265, 2008.
  24. Sikora, J., Panczyk, M., Wieleba, P., "Hybrid boundary element method applied for diffusion tomography problems", in: Computer Vision in Robotics and Industrial Applications, (Series in Computer Vision); Eds. Nowakowski J., Sankowski D. - [Hackensack] New Jersey: World Scientific Publishing, pp. 197-229, 2014 .
  25. Kapusta, P., Majchrowicz, M., Sankowski, D., Jackowska-Strumiłło, L., Banasiak, R., “Distributed multi-node, multi-GPU, heterogeneous system for 3D image reconstruction in Electrical Capacitance Tomography—network performance and application analysis,” Przegląd Elektrotechniczny, 89 (2 B), 2013, pp. 339-342.
  26. Wojciechowski A., Fornalczyk K., "Single web camera robust interactive eye-gaze tracking method", Bulletin of the Polish Academy of Sciences Technical Sciences, vol. 63, no. 4, pp. 879-886, 2015. http://dx.doi.org/10.1515/bpasts-2015-0100.