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Mehran University Research Journal of Engineering and Technology, Volume 26, No. 1, January 2008

机译：mehran University Engineering Engineering of Engineering and Technology，Volume 26，No。1，2008年1月

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This document presents abstracts on engineering and technology prepared by the Mehran University Research Journal.

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年度 2008
页码 1-134
总页数 134
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Engineering ; Technology ; Research projects ; Electrical engineering ; Masonry walls ; Parallel processing ; Digital systems ; Algorithms ; Buildings ; Civil engineering ; Computerized simulation ; Pakistan ; Alloys ; Microstructure ; Ferritic steels ; Wavelets ; Safety ; Manipulation;

机译：工程;技术;研究项目;电气工程;砌体墙;并行处理;数字系统;算法;建筑物;土木工程;计算机模拟;巴基斯坦;合金;微观结构;铁素体钢;小波;安全;操纵;

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3. International Journal of Business and Management, Vol. 3, No. 1, January 2008 [J] . Editior IJBM International Journal of Business and Management . 2009,第1期

机译：国际商业与管理杂志，第一卷3，第1号，2008年1月
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机译：A.J.M. Memoriam中的“机械，数学和材料” Spencer FRS（1929年8月23日至2008年1月26日），英国诺丁汉大学理论力学名誉教授
6. Serrated Flow Behavior of Aisi 3161 Austenitic Stainless Steel for Nuclear Reactors NQingshan LiDSchool of Mechanical Engineering, Shanghai Jiao Tong University, No. 800 Dongchuan Road, Shanghai 200240, China NYinzhong ShenDSchool of Mechanical Engineering, Shanghai Jiao Tong University, No. 800 Dongchuan Road, Shanghai 200240, ChinaMshenyz@sjtu.edu.cn NPengcheng HanDSchool of Mechanical Engineering, Shanghai Jiao Tong University, No. 800 [C] . Annual International Workshop on Materials Science and Engineering . 2017

机译：AISI 3161核反应器奥氏体不锈钢的锯齿状行为N 青山盖机械工程学院，上海交通大学机械工程学院，东川路800号上海200240，中国y忠sh 机械工程学院，上海娇彤大学上海东川路800号，上海200240，Chinam Shenyz@sjtu.edu.cn n Pengcheng手工 p塘大学机械工程学院，800号
7. "Sex and the university": Celebrity, controversy, and a student journalism revolution, 1997--2008. [D] . Reimold, Daniel R. 2008

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8. Journal Scan: American Journal of Sports Medicine: January–June 2008 [O] . Fotios P. Tjoumakaris, Brian J. Sennett 2010

机译：期刊扫描：美国运动医学杂志：2008年1月至6月
9. 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

机译：EEG信号在EMD域S. S. Shafiul Alam，S中的非线性动力学使用非线性动力学。 M. Shafiul Alam，Aurangozeb和Syed Tarekshahriar摘要 - 基于EMD Chaos的方法，提出了对应于健康人的EEG信号，癫痫发作期间的癫痫患者和Seizureattacks。脑电图（EEG）首先被凭经上分解为内在模式功能（IMF）。这些IMF的非线性动力学在最大范围的指数（LLE）和相关尺寸（CD）方面是量化的。本域中的混沌分析应用于与健康人相对应的大型脑电图（Asepileptic患者）（两者都有癫痫发作）。因此，所获得的LLE和CD表展的价值可以从EMD领域的其他EEG信号中清晰地区分脑电图的表达展示。本拟议的方法可以帮助研究人员以预测癫痫发作的癫痫发作技术。索引术语 - 脑电图（EEG），仿真态分解（EMD），最大的Lyapunov指数（LLE），相关维度（CD），癫痫发作。作者与电气电子和电子工程公司，孟加拉国工程和技术大学，孟加拉国达卡 - 1000（电子邮件：imamul@eee.buet.ac.bd）pdf cite：s. m. shafiul Alam，s。 M. Shafiul Alam，Aurangozeb和Syed Tarek Shahriar，“EEG信号歧视在EMD领域的非线性动态，”计算机电气工程卷国际杂志。 4，不。 3，pp。326-330,2012，上一篇论文对情绪的看法，使用建设性的学习言论下一篇论文物理层障碍意识到OVPN连接选择机制版权所有©2008-2013。国际计算机科学与信息技术协会出版社（IACSIT Press）
10. Mehran University Research Journal of Engineering and Technology, Volume 26, No. 1, January 2007 [R] . Memon, S. A. 2007

机译：梅赫兰大学工程与技术研究期刊，第26卷，第1期，2007年1月

Mehran University Research Journal of Engineering and Technology, Volume 26, No. 1, January 2008

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