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Papers Presented at the Eighteenth IEE Weekend Meeting on the History of Electrical Engineering

机译：在第18届IEE电气工程历史周末会议上发表的论文

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The following topics were dealt with: proximity fuses; electricity; microwaves; military systems; valves; and radar.

机译：处理了以下主题：接近保险丝;电;微波炉;军事系统;阀门;和雷达。

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《》|1990年||共1页
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中图分类无线电电子学、电信技术;
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1. Discussion on the paper ????????Engineering education at the technical universities in Western Germany???????? and the report ????????Problems of engineering education???????? before a joint meeting of the Institution of Electrical Engineers and the Institution of Mechanical Engineers, 28th May, 1959 [J] . Proceedings of the IEE - Part A: Power Engineering . 1959,第30期

机译：关于论文的讨论??????????????????????????和报告????????工程教育的问题???????? 1959年5月28日，在电气工程师学会和机械工程师学会的联席会议之前
2. Recent Activities of Technical Committees on Electrical Discharges, on High Voltage Engineering and on Switching and Protecting Engineering of the IEE of Japan [J] . Kazuaki Aono, Motoshige Yumoto, Toshiro Matsumura 電気学会論文誌 B:電力·エネルギー部門誌 . 2003,第11期

机译：日本IEE放电，高压工程以及开关与保护工程技术委员会的最新活动
3. Editorial for the special section on Empirical Studies in Software Engineering Selected, and extended papers from the Eighteenth International Conference on Evaluation and Assessment in Software Engineering, May 13th-14th 2014, London, UK [J] . Hall Tracy, Counsell Steve, Myrtveit Ingunn Information and software technology . 2015,第auga期

机译：2014年5月13日至14日在英国伦敦举行的第18届软件工程评估与评估国际会议的论文选编，以及扩展论文的补充论文
4. Papers Presented at the Eighteenth IEE Weekend Meeting on theHistory of Electrical Engineering [C] . History of Electrical Engineering, Papers Presented at the Eighteenth IEE Weekend Meeting on the . -1

机译：在IEE第十八次周末会议上发表的有关电气工程史
5. A history of the development of electrical engineering in the United States [D] . Wickersheim, Lyle William. 1916

机译：美国电气工程的发展历史
6. Abstracts of Papers Presented at the Eighteenth Annual Meeting of the Society ofNematologists Salt Lake City Utah July 23-26 1979 [O] . 1979

机译：在美国学会第十八届年会上发表的论文摘要。1979年7月23日至26日犹他州盐湖城线虫学家
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

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）
8. Technical Papers Presented at the Eighteenth Dragon Countries Physics Meeting [R] . Nelson, S. M., Almquist, C. W., Waldrop, W. R. 1974

机译：技术论文在第十八届龙国家物理会议上发表

Papers Presented at the Eighteenth IEE Weekend Meeting on the History of Electrical Engineering

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