Electronic Attack

DAVID FULGHUM

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Electronic Attack

机译：电子攻击

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The U.S. has built, flown, pointed and triggered a missile designed specifically to carry a directed-energy weapon. That payload, expected to be operational soon, will be able to disrupt, shut down, spoof or damage electrical systems, but little has been revealed about the project. However, various clues have provided substantive details about the design and concept of operations (conops) for the new missile and its exotic payload. They come from Boeing officials, industry specialists and U.S. Air Force Research Laboratory sponsors who are working on the Counter-electronics High-power Microwave Advanced Missile Project (Champ). An illustration created by Boeing shows the missile being dropped by a B-52, which means at least some versions of the design are air-launched.

机译：美国已经制造，飞行，对准并触发了专门设计用来携带定向能量武器的导弹。预计不久将投入使用的有效载荷将能够破坏，关闭，欺骗或损坏电气系统，但有关该项目的消息很少。但是，各种线索提供了有关新导弹及其奇异载荷的设计和作战概念的实质性细节。他们来自波音公司的官员，行业专家和美国空军研究实验室的赞助商，他们正在研究反电子高功率微波先进导弹项目（冠军）。波音公司制造的插图显示，导弹是由B-52坠落的，这意味着该设计的至少某些版本是空射的。

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《Aviation Week & Space Technology》 |2011年第41期|p.29-30|共2页
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DAVID FULGHUM;
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收录信息美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
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1. Electronic warfare (EW) upgrades to boost EA-18G electronic attack [J] . John Keller Military & Aerospace Electronics . 2018,第11期

机译：电子战（EW）升级以增强EA-18G电子攻击
2. Adaptable radio networking aims to defeat electronic warfare (EW) attacks [J] . Military & Aerospace Electronics . 2021,第4期

机译：适应的无线电网络旨在击败电子战（ew）攻击
3. Eurofighter on the Electronic Attack [J] . Jon Lake Air International . 2020,第2期

机译：欧洲战斗机的电子攻击
4. Exemplary Automotive Attack Scenarios: Trojan Horses for Electronic Throttle Control System (ETC) and Replay Attacks on the Power Window System [C] . Tobias Hoppe, Stefan Kiltz, Andreas Lang, Verein Deutscher Ingenieure/VW-Gemeinschaftstagung Automotive Security . 2007

机译：示例性汽车攻击情景：用于电子节气门控制系统（ETC）的特洛伊木马和电源窗口系统的重放攻击
5. Justifying the means: Electronic domestic surveillance programs before and following the September 11, 2001 terrorist attack on the United States. [D] . Register, Michael G. 2016

机译：手段合理：在2001年9月11日恐怖袭击美国之前和之后的电子家庭监视程序。
6. Validation of an algorithm for automated classification of migraine and tension-type headache attacks in an electronic headache diary [O] . Aaron Roesch, Markus A Dahlem, Lars Neeb, 2020

机译：电子头痛日记中偏头痛和紧张型头痛发作自动分类算法的验证
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）

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