A tailored approach to the electrical and electronics market

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A tailored approach to the electrical and electronics market

机译：针对电气和电子市场的量身定制方法

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As is the case in many end-use markets for our engineering polymers,the electrical and electronics (E&E) sector is subject to constant change through globalization,regulatory requirements and,of particular relevance to our sector,technological advance.At DuPont we categorize the E&E market in three segments - 'signal','building' and 'machines' - and adapt our resources to meet these challenges.

机译：与我们的工程聚合物的许多最终用途市场一样，电气和电子（E＆E）部门会随着全球化，法规要求以及特别是与本部门特别相关的技术进步而不断变化。在杜邦，我们将机电市场分为三个部分-“信号”，“建筑”和“机器”，并调整我们的资源来应对这些挑战。

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《Engineering design》 |2007年第2期|共2页
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1. A tailored approach to the electrical and electronics market [J] . Engineering Design Group Engineering design . 2007,第2期

机译：针对电气和电子市场的量身定制方法
2. Control of morphological and electrical properties of flexographic printed electronics through tailored ink rheology [J] . Morgan Miles L., Curtis Dan J., Deganello Davide Organic Electronics . 2019,第OCTa期

机译：通过量身定制的油墨流变学控制柔性版印刷电子产品的形态和电学性质
3. Tailoring electrical conductivity of two dimensional nanomaterials using plasma for edge electronics: A mini review [J] . Vasudevan Aswathy, Shvalya Vasyl, Zidansek Aleksander, Frontiers of chemical science and engine . 2019,第3期

机译：使用等离子技术为边缘电子设备定制二维纳米材料的电导率：迷你回顾
4. Tailoring the Crystallographic Texture and Electrical Properties of Inkjet-printed Interconnects for Use in Microelectronics [C] . Rotnain Cauchois, Mohamed Saadaoui, Karim Inal, Symposium on materials, processes, and reliability for advanced interconnects for micro- and nanoelectronics . 2012

机译：剪裁喷墨印刷互连的晶体纹理和电气性能，用于微电子
5. Tailorable Electrical Properties of Reduced Graphene Oxide for Wearable Sensor and Flexible Electronic Applications [D] . Jin, Yiqian. 2019

机译：氧化石墨烯在可穿戴传感器和柔性电子应用中的可定制电性能
6. Evidence of waste electrical and electronic equipment (WEEE) relevant substances in polymeric food-contact articles sold on the European market [O] . Franky Puype, Jiří Samsonek, Jan Knoop, -1

机译：在欧洲市场上出售的与食品接触的聚合物制品中与废弃电子电气设备（WEEE）有关的物质的证据
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）

A tailored approach to the electrical and electronics market

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