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Implementation of blow situation with very shift-ductile-dot on the honk changing-status of constituted function

  • Received : 2022.04.07
  • Accepted : 2022.06.01
  • Published : 2022.06.30

Abstract

We is configured the honk changing-status technique that is to meld the square-built blow-shock status of the gleam-differential perception level (BIAL) on the honk perception lineament. The perception level condition by the honk perception lineament system is constituted with the blow-shock system. As to experimentation a ductile-dot of the gleam ductile-dot, we are found of the honk value with ductile-dot by the blow upper shift. The concept of perception level is constituted the reference of gleam-differential level for changing-status signal by the honk shock lineament. Further symbolizing a square-built changing-status of the BIAL, of the average in terms of the blow-shock lineament, and the honk ductile-dot shock that was the honk value of the far changing-status of the Ho-PL-FA-θAVG with 15.41±8.63 units, that was the honk value of the convenient changing-status of the Ho-PL-CO-θAVG with 8.70±3.06 units, that was the honk value of the flank changing-status of the Ho-PL-HO-θAVG with 2.65±1.19 units, that was the honk value of the edge changing-status of the Ho-PL-VI-θAVG with 0.51±0.18 units. The blow shock will be to investigate at the square-built ability of the blow-shock lineament with ductile-dot by the honk perception level on the BIAL, that is denote the gleam-differential lineament by the perception level system. We will be possible to curb of a lineament by the differential signal and to employ the honk data of blow shock level by the blow perception system.

Keywords

References

  1. S. R. Nayak, J. Mishra, and G.Palai, "Analysing roughness of surface through fractal dimension: A review," Image and Vision Computing, Vol. 89, pp. 21-34, 2019. https://doi.org/10.1016/j.imavis.2019.06.015
  2. C. Telke, and M. Beitelschmidt, "Edge detection based on fractional order differentiation and its application to railway track image," Pamm, Vol. 15, No. 1, pp. 671-672, 2015. https://doi.org/10.1002/pamm.201510325
  3. S.D. Guikema, "Risk analysis for critical infrastructure systems: an approach based on statistical learning theory," Reliab. Eng. Syst. Saf., Vol. 94, No. 4, pp. 855-860, 2017. https://doi.org/10.1016/j.ress.2008.09.003
  4. L. Best-Rowden, and A.K. Jain, "Learning face image quality from human assessments," IEEE Trans. Inf. Forensic Secur., Vol. 13, No. 12, pp. 3064-3077, 2018. https://doi.org/10.1109/TIFS.2018.2799585
  5. J.L. Kim, J.S. Choi, and K.S. Hwang, "A Study on Anticipation System of Shudder Distinction by the Physical Shift Alteration in Static Condition,"The Journal of IIBC (JIIBC), Vol. 17, No.3, pp. 115-120, 2017. DOI 10.7236/JIIBC.2017.17.3.115
  6. J.L. Kim, and K.D. Kim, "Prediction of shiver differentiation by the form alteration on the stable condition," International Journal of Internet Broadcasting and Communication (IJIBC), Vol. 9, No. 4, pp. 8-13, 2017. DOI 10.7236/IJIBC.2017.9.4.8
  7. J.L. Kim, and K.S. Hwang, "Study of quake wavelength of dynamic changing-status with posture. International Journal of Advanced Smart Convergence(IJASC), Vol. 4, No. 1, pp. 99-103, 2015. https://doi.org/10.7236/IJASC.2015.4.1.99
  8. J.L. Kim, and K.D. Kim, "Denoteation of central motion techniques: limpness motion function and limpness sensory unit function," International Journal of Advanced Culture Technology (IJACT), Vol. 4, No. 3, pp. 56-61, 2016. DOI 10.17703/IJACT.2016.4.3.56
  9. J. Huiting, H. Flisijn, A.B.J. Kokkeler, and G.J.M. Smit, "Exploiting phase measurements of EPC Gen2 RFID structures," IEEE Int Conf RFID-Technol Appl (RFID-TA), pp. 1-6, 2013.
  10. A. Bekkali, S.C. Zou, Kadri A., M. Crisp, and R.V. Penty, "Performance analysis of passive UHF RFID systems under cascaded fading channels and interference effects," IEEE Trans WirelCommun., Vol. 14, No. 3, pp. 1421-33, 2015.
  11. E. DiGiampaolo, and F. Martinelli, "Mobile robot localization using the phase of passive UHF RFID signals," IEEE Trans Ind Electron, Vol. 61, No. 1, 365-76, 2014. https://doi.org/10.1109/TIE.2013.2248333
  12. Y. A. Lopez, M.E. Gomez, and F.L.H. Andres, "A received signal strength RFID-based indoor location system," Sensors and Actuators A, Vol. 255, pp. 118-133, 2017. https://doi.org/10.1016/j.sna.2017.01.007
  13. K. Chawla, C. McFarland, G. Robins, and C. Shope, "Real-time RFID localization using RSS, in: 2013 International Conference on Localization and GNSS (ICL-GNSS)," Turin (Italy), pp. 1-6, 2013 (25-27 June).