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The Development of a SVR-based Empirical Model for the Effect of the Unbalanced Floor Height on MVC of Lifting Task

불균형한 바닥높이가 들기 작업의 최대발휘근력에 미치는 영향 분석을 위한 SVR 예측모델 설계

  • Oh, Hyunsoo (Department of Safety Engineering, Pukyong National University) ;
  • Chang, Seong Rok (Department of Safety Engineering, Pukyong National University) ;
  • Kim, Younghwan (Department of Safety Engineering, Pukyong National University) ;
  • Lee, Chang Jun (Department of Safety Engineering, Pukyong National University)
  • Received : 2014.01.07
  • Accepted : 2014.07.15
  • Published : 2014.08.31

Abstract

Low back pain is one of major issues in musculoskeletal diseases mainly caused by MMH (Manual Material Handling) tasks. In Korea, the standards of NIOSH(National Institute for Occupational Safety and Health) Lift Equations in U. S. A. have been most widely used. However, there is no standard in case the height of one feet is higher than that of another one. Moreover, since the standards are developed in U. S. A., there are many limitations for the applicability of Korean workers. In this study, MVC(Maximum Voluntary Contraction) for four postures are measured and an empirical model based on SVR(Support Vector Regression) is constructed. Constructing SVR model, PSO(Particle Swarm Optimization) is employed to investigate the optimal parameters of SVR. The results show that the performance of this empirical model is approximately accurate, even if the deviation of experimental values is large due to the individual differences. This empirical model may contribute to establish the standards of MMH tasks in Korea.

Keywords

References

  1. W. H. Yoo, "The Psychophysical and Physiological Study on Various Lifting Tasks for Korean", MSc Thesis, University of Dong-A, 2002.
  2. A. Bhattacharya and J. D. Mcglothlin, "Occupational Ergonomics: Theory and Applications", Marcel Dekker, Inc., 1996.
  3. H. K. Kim, "Comparison of Lifting and Lowering Activity based on Biomechanical, Physiological, Psychophysical Criteria", Journal of the Ergonomics Society of Korea, Vol. 29, No. 1, pp.145-153, 2010. https://doi.org/10.5143/JESK.2010.29.1.145
  4. National Institute for Occupational Safety and Health, "Work Practices Guide for Manual Lifting", Department of Health and Human Services Publication, 1981.
  5. T. R. Waters, V. Putz-Anderson, A. Garg and L. J. Fine, "Revised NIOSH Equation for the Design and Evaluation of Manual Lifting Tasks", Ergonomics, Vol. 36, No. 7, pp. 749-776, 1993. https://doi.org/10.1080/00140139308967940
  6. Ministry of Employment and Labor, Analysis of the Industrial Accidents in 2012, 2013.
  7. Occupational Safety and Health Research Institute, Cause Investigation of Industrial Accident in 2012, 2013.
  8. H. Y. Yoon, "Psychophysical Modeling for One-handed Combined Tasks", Journal of the Ergonomics Society of Korea, No. 1, pp. 95-99, 1997.
  9. H. K. Kim, "Physiological Viewpoint of the Recommended Safe Weights of Load for Manual materials Handling Tasks", Journal of the Ergonomics Society of Korea, Vol. 16, No. 3, pp. 23-36, 1997.
  10. K. S. Lee and H. S. Park, "A Study on Applying the Direct Estimation Method to Determining Maximum Acceptable Weight in Symmetric Lifting Task", Journal of the Ergonomics Society of Korea, Vol. 14, No. 1, pp. 1-7, 1995.
  11. H. K. Kim and S. H. Jeong, "Comparison of Psychophysical Maximum Acceptable Weight of Load for Different Frequencies of Manual Materials Handling Tasks", Journal of the Ergonomics Society of Korea, No. 1, pp. 39-49, 1997.
  12. S. H. Jeong and H. K. Kim, "Physiological Assessment of the Psychophysical Maximum Acceptable Weight of Load for Manual Materials Handling Tasks", Journal of the Ergonomics Society of Korea, Vol. 18, No. 1, pp. 1-12, 1999.
  13. M. K. Moon, "A Study for the Applicability of NIOSH Lifting Guideline on Korean Population", Graduate School Thesis, University of Incheon, 2011.
  14. C. H. Kim, M. K. Moon, H. K. Kim, H. Y. Yoon and J. S. Lee, "A Study for the Applicability of NIOSH Lifting Guideline on Korean Population", Journal of the Ergonomics Society of Korea, Autumn Conference, 2011.
  15. C. Y. Park, Y. D. Kim, J. S. Kim, J. W. Song and H. S. Choi, "Data Mining using R", Kyowoosa, 2011.
  16. S. J. Kim, E. C. Ryoo, M. K. Jung, J. K. Kim and H. C. Ahn, "Application of Support Vector Regression for Improving the Performance of the Emotion Prediction Model", Journal of Intelligence and Information systems, Vol. 18 No. 3, pp. 185-202, 2012.
  17. T. R. Waters, V. Putz-Anderson and A. Garg, "Applications Manual for the Revised NIOSH Lifting Equation", 1994.
  18. V. N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, New York, 1995.
  19. N. Cristianini and J. Shawe-Taylor, "An Introduction to Support Vector Machine and Other Kernel-based Learning Methods", Cambridge University Press, 2000.
  20. G. B. Lee, "Comparison of Partial Least Squares and Support Vector Machine for the Autoignition Temperature Prediction of Organic Compounds", Journal of the Korean Institute of Gas, Vol. 16, No. 1, pp. 26-32, 2012. https://doi.org/10.7842/kigas.2012.16.1.26
  21. C. J. Lee, S. O. Song and E. S. Yoon, "The Monitoring of Chemical Process using The Support Vector Machine", Korean Chemical Engineering Research, Vol. 42, No. 5, pp. 538-544, 2004.
  22. C. J. Lee and J. M. Lee, "An Advanced Group Contribution Method for High-Dimensional, Sparse Data Sets", Molecular Informatics, Vol. 31, No. 1, pp. 41-52 2012. https://doi.org/10.1002/minf.201100111