A NOVEL EMD-IABC BASED DE-NOISING FOR GRAIN IMPACT SIGNAL, 197-204.

Hongbin Liang, Hualong Du, Qiuyu Cui, and He Wang

References

  1. [1] H. Wang, J.T. Hu, L. Gao, and Y.F. Jia, Development andoptimization of a novel grain flow sensor based on PVDFpiezoelectric film, International Journal of Agricultural andBiological Engineering, 9(4), 2016, 141–150.
  2. [2] H. Wang, X.P. Bai, and H.B. Liang, Proportionaldistribution method for estimating actual grain flowunder combine harvester dynamics, International Journalof Agricultural and Biological Engineering, 10(4), 2017,158–164.
  3. [3] H. Wang, H.B. Liang, and L. Gao, Using an improved artificialbee colony algorithm for parameter estimation of a dynamicgrain flow model, Mathematical Problems in Engineering, 2018,January 2018, 2132963.
  4. [4] S. Koichi, I. Matsumoto, and T. Kawamura, Impact-by-impactsensing of grain flow on Jidatsu combine, Engineering inAgriculture, Environment and Food, 4(1), 2011, 1–6.
  5. [5] T.K. Hamrita, J.S. Durrence, G. Vellidis, C.D. Perry, D.L.Thomas, and C.K. Kvien, Noise reduction in a load cell basedpeanut yield monitor using digital signal processing techniques,Proc. Conf. Record of the IEEE Industry Applications Conf.35th IAS Annual Meeting and World Conf. on IndustrialApplications of Electrical Energy, 2, Rome, 2000, 1008–1015.
  6. [6] G. Pelletier and S.K. Upadhyaya, Development of a tomatoload/yield monitor, Computers and Electronics in Agriculture,23(2), 1999, 103–117.
  7. [7] A.O. Boudraa, J.C. Cexus, and Z. Saidi, EMD-based signalnoise reduction, International Journal of Signal Processing,1(1), 2004, 33–37.
  8. [8] D.L. Donoho, De-noising by soft-thresholding, IEEE Transac-tions on Information Theory, 41(3), 1995,613–627.
  9. [9] J. Chen, K. Wang, and Y. Li, Wavelet denoising method forgrain flow signal based on Mallat algorithm, Transactions ofthe Chinese Society of Agricultural Engineering, 33(3), 2017,190–197.
  10. [10] X. Zhang, X. Hu, A. Zhang, Y. Zhang, and Y. Yuan,Method of measuring grain-flow of combine harvester based onweighing, Transactions of the Chinese Society of AgriculturalEngineering, 26(3), 2010, 125–129.
  11. [11] H. Wang and J.T. Hu, Grain flow signal reduction noise usingEMD, International Agricultural Engineering Journal, 24(2),2015, 152–158.
  12. [12] J. Xu, Z. Wang, C. Tan, L. Si, and X. Liu, A novel denoisingmethod for an acoustic-based system through empiricalmode decomposition and an improved fruit fly optimizationalgorithm, Applied Sciences, 7(3), 2017, 215.
  13. [13] M. Jiang, D. Yuan, Z. Jiang, and M. Wei, Determination ofwavelet denoising threshold by PSO and GA, Proc. IEEE Int.Symposium on Microwave, Antenna, Propagation and EMCTechnologies for Wireless Communications, 2, Beijing, 2005,1426–1429.203
  14. [14] C.C. Liu, T.Y. Sun, S.J.Tsai, Y.H.Yu, and S.T. Hsieh, Heuristicwavelet shrinkage for denoising, Applied Soft Computing, 11(1),2011, 256–264.
  15. [15] J. Shweta, B.Varun, and K. Anil, Effective de-noising of ECG byoptimised adaptive thresholding on noisy modes, IET Science,Measurement & Technology, 12(5), 2018, 640–644.
  16. [16] D. Karaboga, An idea based on honey bee swarm for numericaloptimization, Technical Report-tr06, Department ComputerEngineering, Erciyes University, Kayseri, 200, 2005, 1–10.
  17. [17] D. Karaboga and B. Akay, A comparative study of artificialbee colony algorithm, Applied Mathematics and Computation,214(1), 2009, 108–132.
  18. [18] K. Taheri, M. Hasanipanah, S.B. Golzar, and M.Z.A. Majid,A hybrid artificial bee colony algorithm-artificial neuralnetwork for forecasting the blast-produced ground vibration,Engineering With Computers, 33(3), 2016, 1–12.
  19. [19] C. Huang and J. Fei, UAV path planning based on particleswarm optimization with global best path competition,International Journal of Pattern Recognition and ArtificialIntelligence, 32(6), 2018, 1859008.
  20. [20] Q.K. Pan, An effective co-evolutionary artificial bee colonyalgorithm for steelmaking-continuous casting scheduling,European Journal of Operational Research, 250(3), 2016,702–714.
  21. [21] B. Akay and D. Karaboga, A survey on the applications ofartificial bee colony in signal, image, and video processing,Signal, Image and Video Processing, 9(4), 2015, 967–990.
  22. [22] S. Ghosh, H. Goud, P. Swarnkar, and D. Deshpande, Designof an optimized adaptive PID controller for induction motordrive, Mechatronic Systems and Control, 49(3), 2021, 164–170.
  23. [23] W. Liu, Q. Wang, and Q. Guo, Automatic radar waveformrecognition based on neural network, Mechatronic Systems andControl, 46(2), 2018, 92–96.
  24. [24] X. Shi, X. Zhu, and J. Zhang, Simulation and experimentalanalysis of drive motor stator current under local fault of gear,Mechatronic Systems and Control, 47(1), 2019, 28–35.
  25. [25] S.J. Reeves and R.M. Mersereau, Blur identification by themethod of generalized cross-validation, IEEE Transactions onImage Processing, 1(3), 1992, 301–311.
  26. [26] M. Loghavi, R. Ehsani, and R. Reeder, Development ofa portable grain mass flow sensor test rig, Computers &Electronics in Agriculture, 61(2), 2008, 160–168.

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