Physical Parameter Identification Algorithm Modeling for Complex Microsystem via Triangulation Functions

  • Authors

    • Elena N. Meshcheryakova
    • . .
    2018-12-09
    https://doi.org/10.14419/ijet.v7i4.36.24931
  • micro and nanotechnologies, modeling, analysis, identification, algorithm, UML model, triangulation, surface-acoustic waves, complex microsystem, heterogeneous microstructures.

  • Abstract

    This article describes the possibility of triangulation function use for the classification, analysis and identification of complex microsystem physical object parameters. They analyzed the existing methods and identification algorithms, their advantages and disadvantages are highlighted. The existing methods of triangulation are considered, the possibility of Delaunay triangulation is described for surfactant signal 3-D model development and analysis. They developed the algorithm to identify the state of an object using the triangulation function that takes into account the change of node coordinates and the length of the triangulation grid edges. They presented the visual UML model. The conclusions are drawn about the possibility of triangulation function use for the analysis of complex microsystem state.

     

     

  • References

    1. [1] (2016) Strategies for Scientific and Technological Development of the Russian Federation Presidential Decree from December 1, 2016 no. 642 ru/acts/bank/41449 http://www.kremlin.

      [2] N.G. Kurakova, V.G. Zinov, L.A. Tsvetkova, “The system of measurable indicators for scientific and technological development of the Russian Federation: methodology and design†Scientific and Technical Information Processing, Volume 44, Issue 3, 1 July 2017, Pages 184-195.

      [3] P.S. Prasad, Devi, B. Sunitha, Reddy M. Janga, V.K. Gunjan, “A survey of fingerprint recognition systems and their applications†Lecture Notes in Electrical Engineering, Volume 500, 2019, Pages 513-520, International Conference on Communications and Cyber Physical Engineering, ICCCE 2018; Hyderabad; India; 24 January 2018 through 25 January 2018; Code 217899

      [4] K. Indira, K.V. Mohan, T. Nikhilashwary, “Automatic license plate recognition†Advances in Intelligent Systems and Computing, Volume 727, 2019, Pages 67-77, 1st International Symposium on Signal and Image Processing, ISSIP 2017; Kolkata; India; 1 November 2017 through 2 November 2017; Code 213529

      [5] T. Walczak, J.K. Grabski, M.Michałowska, D. Szadkowska, “Application of artificial neural networks in the human identification based on thermal image of hands†Advances in Intelligent Systems and Computing, Volume 831, 2019, Pages 114-122, International Conference of the Polish Society of Biomechanics, BIOMECHANICS 2018; Zielona Gora; Poland; 5 September 2018 through 7 September 2018; Code 216589

      [6] S. Mane, G.Shah, “Facial recognition, expression recognition, and gender identification†Advances in Intelligent Systems and Computing, Volume 808, 2019, Pages 275-290, 2nd International Conference on Data Management, Analytics and Innovation, ICDMAI 2018; Pune; India; 19 January 2018 through 21 January 2018; Code 217079

      [7] P.S. Prasad, D. Baswaraj, “Iris recognition systems: A review†Lecture Notes in Electrical Engineering, Volume 500, 2019, Pages 521-527, International Conference on Communications and Cyber Physical Engineering, ICCCE 2018; Hyderabad; India; 24 January 2018 through 25 January 2018; Code 217899

      [8] T.R. Vijaya Lakshmi, C. Venkata Krishna Reddy, “Object classification using sift algorithm and transformation techniques†Advances in Intelligent Systems and Computing, Volume 768, 2019, Pages 403-408, International Conference on Cognitive Informatics and Soft Computing, CISC 2017; Hyderabad; India; 20 December 2017 through 21 December 2017; Code 217069

      [9] S. Schmidt, P.S. Heyns, “An open set recognition methodology utilising discrepancy analysis for gear diagnostics under varying operating conditions†Mechanical Systems and Signal Processing, Volume 119, 15 March 2019, Pages 1-22

      [10] C.E. Ribeiro, L.E. Zárate, “Classifying longevity profiles through longitudinal data mining†Expert Systems with Applications, Volume 117, 1 March 2019, Pages 75-89

      [11] Alihodzic, H. Smajlovic, E. Tuba, R. Capor Hrosik, M. Tuba, “Adjusted artificial bee colony algorithm for the minimum weight triangulation†Advances in Intelligent Systems and Computing, Volume 741, 2019, Pages 305-317, 4th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2018; Gurgaon; India; 7 February 2018 through 9 February 2018; Code 217459

      [12] Shan, N. Ren, Z. Xue, “Stereovision-based surface deformation detection of offshore wind turbine model under ship impact†Measurement: Journal of the International Measurement Confederation, Volume 131, January 2019, Pages 605-614

      [13] J.B. Rodrigues, A.V.M. Ferreira, I.M.O. Maia, G. Braz Junior, J.D.S. de Almeida, A.C. de Paiva, “Image Processing of Artworks for Construction of 3D Models Accessible to the Visually Impaired†Advances in Intelligent Systems and Computing, Volume 793, 2019, Pages 243-253, Joint proceedings of the AHFE International Conference on Advanced Production Management and Process Control, AHFE International Conference on Human Aspects of Advanced Manufacturing, and AHFE International Conference on Additive Manufacturing, Modeling Systems and 3D Prototyping, 2018; Orlando; United States; 21 July 2018 through 25 July 2018; Code 215429

      [14] P.S. Prasad, D. Baswaraj, “Iris recognition systems: A review†Lecture Notes in Electrical Engineering, Volume 500, 2019, Pages 521-527, International Conference on Communications and Cyber Physical Engineering, ICCCE 2018; Hyderabad; India; 24 January 2018 through 25 January 2018; Code 217899

      [15] J. Liu, D. Bai, L. Chen, “3-D point cloud registration algorithm based on greedy projection triangulation†Applied Sciences (Switzerland), Volume 8, Issue 10, 30 September 2018, Article number 1776

      [16] Alonazi, Y. Ma, R. Tafazolli, “Delaunay triangulation based interpolation for radio map construction with reduced calibration†2017 9th IEEE-GCC Conference and Exhibition, GCCCE 2017, 27 August 2018, Article number 8448199, 9th IEEE-GCC Conference and Exhibition, GCCCE 2017; Bahrain Gulf Conference and Exhibition CenterManama; Bahrain; 8 May 2017 through 11 May 2017; Category numberCFP1729A-ART; Code 139101

      [17] Surface acoustic waves in radio engineering / comp. by G.F. Afanasyev, L.Sh. Biktimirov. - Ulyanovsk: UlSTU, 2013. - 75 p.

      [18] Konoplev B.G., Lysenko I.E. The components of microsystem technology. Part 1.– Taganrog: TTI SFU Publishing House, 2009.– 117 p.

      [19] Yankin S.S. The interaction of surface acoustic waves with inhomogeneities comparable to the wavelength: diss. by the Cand. of Phys.-math. sciences. - Saratov, 2015. - 117 p.

      [20] Mikheev M.Yu., Remontov A.P., Mescheryakova E.N., Kosolapov V.V., Astakhova T.N. The use of Wolfram Mathematica technology for surface-acoustic wave modeling. NGIEI Bulletin. - 2017. - No. 9 (76). - pp. 16-23.

      [21] Galanin M.P., Scheglov I.A. The development and the implementation of three-dimensional triangulation algorithms for complex spatial domains: iterative methods M., 2006. - 35 p.

      [22] M.Yu. Mikheev, T.V. Zhashkova, E.N. Meshcheryakova, K.V. Gudkov, A.K. Grishkoб “Imitation modelling for the subsystem of identification and structuring data of signal sensors†Proceedings of 2016 IEEE East-West Design and Test Symposium, EWDTS 2016, 2016. p. 7807748.

      [23] Murashkina E.N., Mikheev M.Yu. The development of simulation models of information signal identification and structuring subsystem from the sensors on surface-acoustic waves // Proceedings of the international symposium "Reliability and quality". – 2015. - V. 1. - pp. 187-190.

      [24] Murashkina E.N., Mikheev M.Yu. Simulation modeling of neural network identification for complex shape signals. // Proceedings of the International Symposium "Reliability and Quality". - 2014. - V. 1. - pp. 203-206.

      [25] Murashkina E.N., Zhashkova T.V. Identification of critical conditions for the system of monitoring and control // Modern high technologies. - 2014. - â„– 5-2. - pp. 62.

      [26] B. Joe. Construction of Three-Dimensional Delaunay Triangulations Using Local Transformations // Computer Aided Geometric Design, Vol. 8, pp. 123-142, 1991.

      [27] Skvortsov A.V. Delaunay triangulation and its application. - Tomsk: Tom. University Publishing house, 2002. - 128 p.

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  • How to Cite

    N. Meshcheryakova, E., & ., . (2018). Physical Parameter Identification Algorithm Modeling for Complex Microsystem via Triangulation Functions. International Journal of Engineering & Technology, 7(4.36), 962-966. https://doi.org/10.14419/ijet.v7i4.36.24931

    Received date: 2018-12-28

    Accepted date: 2018-12-28

    Published date: 2018-12-09