Web-based learning by engineering for MEMS technologies

机译：通过基于工程的MEMS技术进行基于Web的学习

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Abstract: The increasing use of Internet-resources worldwide offers new chances in the development of net-based teaching and training materials. Especially in the area of life long learning that is becoming more and more important for persons who are involved in design, production or application of high-tech products in their professional lives, net-based training opens new perspectives. As ordinary classroom courses and centralized training seminars are expensive and draw personnel out of their productive working environments for prohibitively long periods, these traditional training techniques are not well suited to life long learning. This article addresses the results of the TRANSTEC-project. The project addresses this matter by providing a novel concept of interactive Internet-based training entities.!8

机译：摘要：全球互联网资源的日益使用为基于网络的教学材料的开发提供了新的机会。尤其是在终身学习领域，对于从事高科技产品设计，生产或应用的人们来说，其职业生涯变得越来越重要，基于网络的培训开辟了新的视角。由于普通的课堂课程和集中的培训研讨会价格昂贵，并且使人员无法长期从事生产性工作，因此这些传统的培训技术不太适合终身学习。本文介绍了TRANSTEC项目的结果。该项目通过提供基于互联网的交互式培训实体的新颖概念来解决这一问题。8

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《Education in Microelectronics and MEMS》|1999年|p.100-109|共10页
会议地点 Royal Pines Resort(AU)
作者
Rainer Brueck; Univ. Gesamthochschule Siegen; Siegen; Germany; Kai Hahn; Univ. Gesamthochschule Siegen; Siegen; Germany; Andreas Schmidt; Institut fuer Mikrotechnik Mainz GmbH; Mainz; Germany; Christine Fritzsch; Carl Hanser Verlag; Munchen; Germany; Alai;
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正文语种 eng
中图分类微电子学、集成电路（IC）;
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1. Strategic Design for Web-Based Teaching and Learning: Making Corporate Technology Systems Work for the Learning Organization [J] . Corbitt Brian, Holt Dale, Segrave Stephen InternatIonal Journal of Web-based LearnIng and TeachIng TechnologIes . 2006,第4期

机译：基于Web的教与学的战略设计：使公司技术系统适用于学习型组织
2. Research on Web-based Autonomous English Learning of Engineering Students [J] . Shuping Yao International Journal of Emerging Technologies in Learning (iJET) . 2016,第6期

机译：基于网络的工科学生自主英语学习研究
3. Can Interactive Web-based CAD Tools Improve the Learning of Engineering Drawing? A Case Study [J] . Pablo Pando Cerra, Jesus M. Suarez Gonzalez, Bernardo Busto Parra, Journal of Science Education and Technology . 2014,第3期

机译：交互式基于Web的CAD工具能否改善对工程图的学习？案例研究
4. Web-based learning by engineering for MEMS technologies [C] . Rainer Brueck, Kai Hahn, Andreas Schmidt, Conference on education in microelectronics and MEMS . 1999

机译：基于网络的MEMS技术工程学习
5. Developing a consensus-driven, core competency model to shape future audio engineering technology curriculum: A web-based modified Delphi study. [D] . Tough, David T. 2009

机译：开发一个共识驱动的核心能力模型，以塑造未来的音频工程技术课程：基于Web的改进的Delphi研究。
6. Alkali Vapor MEMS Cells Technology toward High-Vacuum Self-Pumping MEMS Cell for Atomic Spectroscopy [O] . Pawel Knapkiewicz 2018

机译：碱性蒸气MEMS电池技术向原子光谱用高真空自抽MEMS电池发展
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）

Web-based learning by engineering for MEMS technologies

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