Researchers from Iran University of Science & Technology Report on Findings in Mechanical Engineering

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Researchers from Iran University of Science & Technology Report on Findings in Mechanical Engineering

机译：伊朗科学技术大学的研究人员关于机械工程发现的报告

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2011 DEC 14 - (VerticalNews.com) -- "Experimental tests for simultaneous explosive forming-welding for two inhomogeneous plates have been carried out. Sheets of copper, aluminium, and steel were used for simultaneous forming and welding," scientists in Tehran, Iran report.

机译：2011年12月14日-（VerticalNews.com）-“德黑兰的科学家们进行了两个非均质板同时爆炸成形焊接的实验测试。使用铜，铝和钢板同时成形和焊接。”伊朗报告。

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《Journal of Engineering》 |2011年第14期|77-77|共1页
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City:Tehran, Country:Iran, Region:Asia;

机译：城市：德黑兰;国家：伊朗;地区：亚洲;

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7. EEG Signal Discrimination using Non-linear Dynamics in the EMD Domain S. M. Shafiul Alam,S. M. Shafiul Alam,Aurangozeb, and Syed TarekShahriar Abstract—An EMD-chaos based approach is proposed todiscriminate EEG signals corresponding to healthy persons,and epileptic patients during seizure-free intervals and seizureattacks. An electroencephalogram (EEG) is first empiricallydecomposed to intrinsic mode functions (IMFs). The nonlineardynamics of these IMFs are quantified in terms of the largestLyapunov exponent (LLE) and correlation dimension (CD).This chaotic analysis in EMD domain is applied to a large groupof EEG signals corresponding to healthy persons as well asepileptic patients (both with and without seizure attacks). It isshown that the values of the obtained LLE and CD exhibitfeatures by which EEG for seizure attacks can be clearlydistinguished from other EEG signals in the EMD domain.Thus, the proposed approach may aid researchers in developingeffective techniques to predict seizure activities. Index Terms—Electroencephalogram (EEG), empiricalmode decomposition (EMD), largest Lyapunov exponent (LLE),correlation dimension (CD), epileptic seizures. The Authors are with the Electrical and Electronic EngineeringDepartment, Bangladesh University of Engineering and Technology,Dhaka-1000, Bangladesh (e-mail: imamul@eee.buet.ac.bd) PDF Cite: S. M. Shafiul Alam,S. M. Shafiul Alam,Aurangozeb, and Syed Tarek Shahriar, "EEG Signal Discrimination using Non-linear Dynamics in the EMD Domain," International Journal of Computer and Electrical Engineering vol. 4, no. 3, pp. 326-330, 2012. PREVIOUS PAPER Perception of Emotions Using Constructive Learningthrough Speech NEXT PAPER Physical Layer Impairments Aware OVPN Connection Selection Mechanisms Copyright © 2008-2013. International Association of Computer Science and Information Technology Press (IACSIT Press) [O] . S. M. Shafiul Alam, Syed TarekShahriar 2012

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机译：工程地质与地球物理实验室，材料科学系211和岩石工程，赫尔辛基理工大学1998年年度报告

Researchers from Iran University of Science & Technology Report on Findings in Mechanical Engineering

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