volume | PIER Journals

Abstract

In this paper, based on fuzzy measurement data, a prediction method for probability distribution of electromagnetic wave leaked from electronic information equipment is proposed. More specifically, by applying the well-known probability measure of fuzzy events to the probability distribution in an orthogonal expansion series form reflecting systematically various types of correlation information, a method to estimate precisely the correlation information between the electromagnetic and sound waves from the conditional moment statistics of fuzzy variables is proposed under actual situation in the existence of a background noise. The effectiveness of the proposed theory is experimentally confirmed by applying it to the observation data leaked from VDT in the actual work environment.

1. Ikuta, A., M. Ohta, and H. Ogawa, "Estimation of higher order correlation between electromagnetic and sound waves leaked from VDT environment based on fuzzy probability and the prediction of probability distribution," PIERS Proceeding, Mar. 26-29 2006.

2. Ohta, M. and A. Ikuta, "Applicability of two stochastic evaluation methods to electromagnetic waves in near field leaked from ITE group under parallel working situation --- Introduction of some composition principle in space and time domain," Journal of Electromagnetic Waves and Applications, Vol. 17, No. 4, 615-616, 2003.
doi:10.1163/15693930360681974

3. Ikuta, A., O. Tokhi, and M. Ohta, "A cancellation method for background noise for a sound enviroment system with unknown structure," IEICE Transactions on Fundamentals of Electronics, Vol. E84-A, No. 2, 457-466, 2001.

4. Ikuta, A. and M. Ohta, "A state estimation method of impulsive ignal using digital filter under the existence of external noise and its application to room acoustics," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E75-A, No. 8, 988-995, 1992.

5. Ikuta, A., M. Ohta, and H. Nakasako, "A state estimation method in acoustic environment based on fuzzy observation contaminated by background noise --- Utilization of inverse probability and digital filter," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E80-A, No. 5, 825-832, 1997.

6. Ikuta, A. and M. Ohta, "Signal processing method by introducing fuzzy theory and its application to electromagnetic and sound environments," Proceedings of EUROCON 2007, 2007.

7. Zadeh, L. A., "Probability measures of fuzzy events," Journal of Mathematical Analysis and Applications, Vol. 23, No. 2, 421-427, 1968.
doi:10.1016/0022-247X(68)90078-4

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doi:10.1109/TIT.1968.1054178

9. Wilson, B. W., R. G. Stecen, and L. E. Anderson, "Neuroen-docrine mediated effects of electromagnetif field exposure: Possible role of the pineal gland," Life Sciences, Vol. 45, No. 15, 1319-1332, 1989.
doi:10.1016/0024-3205(89)90018-0

10. Ohta, M., A. Ikuta, and N. Takaki, "A new trial of regression analysis with less information loss and its application to sound insulation walls --- Matching to the prediction of response probability distribution," J. of the Acoustical Society of Japan, Vol. 44, 848-856, 1988.

Dr. Hisako Orimoto

Prof. Akira Ikuta