Paper Infomation
The Inspiration of the Biological Anti-interference Mechanism in Electromagnetic Protection Bionics
Full Text(PDF, 509KB)
Author: Menghua Man, Zhang Ya, Yuan Liang, Ma Guilei , Chu Jie
Abstract: With the rapid development of semiconductor technology, the electromagnetic sensitivity of electronic systems has been increased. And the more complicated electromagnetic environment has induced, the more significantly is the electromagnetic environment effects. As a result, the contradiction between them seriously restricts the efficiency of electronic equipment. Currently, the disadvantage of traditional electromagnetic protection methods appeared. After gradual evolution, information processing of biometrics has anti-interference ability, which show good anti-interference phenomenon. At present, our studies show that the degeneracy mechanism, the plasticity of synapse and neuronal synchronization reflect the anti-interference mechanism, which provides basic theory for design of electricity systems. Thus, the anti-interference mechanism of biological system can be applied in electromagnetic protection bionics in order to improve the reliability and adaptability of electronics systems in a complex electromagnetic environment.
Keywords: Electromagnetic Protection, Bionics, Anti-Interference, Degeneracy, Plasticity, Synchronization
References:
[1] Shanghe Liu, Guozhi Sun. Analysis of the Concept and Effect s of Complex Electromagnetic Environment [J]. Journal of the Academy of Equipment Command & Technology, 2008, 49(1):1-5.
[2] Shanghe Liu. The theory of electrostatic and protection [M]. Beijing: ordnance industry Press, 1999.
[3] Chuanqi He. The Strategy Challenge of the Sixth Technology Revolution[M], Beijing: Science Press. 2011.
[4] Qin Ye, Chuanqi He. Hundreds of Academician Keep a Watchful Eye on the Sixth Science Revolution [N]. Science Times, 2011/5/20(Ⅲ edn)..
[5] Shanghe Liu, Liang Yuan, Jie Chu. Electromagnetic Bionics: A New Study Field of Electromagnetic Protection [J]. Chinese Journal of Nature, 2009, 31(1): 1-7.
[6] Shanghe Liu, Jie Chu, Liang Yuan. Study and Progress of Electromagnetic Bionics for Electronic System [J]. Journal of Academy of Armored Force Engineering, 2009, 23(1): 2-6.
[7] Yongxiang Lu. The meaning and development of bionics [J]. Science Chinese, 2004, 2004(4): 22-24.
[8] Gerald M. Edelman, Joseph A. Gally. Degeneracy and complexity in biological systems[J]. PNAS, 2001, 98(24): 13763-13768.
[9] Giulio tononi, Olaf Sporns, Gerald M. Edelman. Measures of degeneracy and redundancy in biological networks[J]. PNAS, 1999, 96(6): 3257-3262.
[10] John H. Byrne, James L. Roberts. From Molecules to Network An Introduction to Cellular and Molecular Neuroscience [M]. Beijing: Science Press, 2010.
[11] Menghua Man, Shanghe Liu, Xiaolong Chang, Mai Lu. The biological property of synthetic evolved digital circuits with ESD immunity - redundancy or degeneracy?[J]. Journal of Bionics Engineering, 2013, 10(3): 396-403.
[12] Mircea Gh. Negoita, Lukas Sekanina, Adrian Stoica. Adaptive and Evolvable Hardware and Systems: The State of the Art and the Prospectus for Future Development[J]. International journal of Knowledge-Based and Intelligent Engineering Systems, 2008, 12(3): 183-185.