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FORECASTING PRECIPITATION WITH THE AID OF A HIGH-SPEED ELECTRONIC COMPUTER

机译：利用高速电子计算机辅助预测降水

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Joseph Vederman;
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年度 1960
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1. IEE Electronics Division: Chairman's address. Computer-aided design in electronics [J] . Trier P.E. Electrical Engineers, Proceedings of the Institution of . 1972,第1期

机译：IEE电子部：董事长致辞。电子学中的计算机辅助设计
2. Interactive computer-aided control design using quantitative feedback theory: the problem of vertical movement stabilization on a high-speed ferry [J] . Diaz JM, Dormido S, Aranda J International Journal of Control . 2005,第11期

机译：基于定量反馈理论的交互式计算机辅助控制设计：高速渡轮的垂直运动稳定问题
3. Computer-aided analysis of on-chip interconnects near semiconductor substrate for high-speed VLSI [J] . Zheng-Yu Yuan, Zheng-Fan Li IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems . 2000,第9期

机译：高速VLSI的半导体衬底附近芯片上互连的计算机辅助分析
4. Computer-based Models for Precipitation Forecast in Savanna Agri-ecological Zone in Nigeria [C] . Nnaji Austine O., Guazzelli Laura International Conferences on Computers in Agriculture . 1999

机译：尼日利亚大草原农产生态区降水预测的基于计算机的模型
5. Using total precipitable water anomaly as a forecast aid for heavy precipitation events. [D] . VandenBoogart, Lance M. 2013

机译：利用总可降水量异常作为强降水事件的预报手段。
6. Development and validation of a novel computer-aided score to predict the risk of in-hospital mortality for acutely ill medical admissions in two acute hospitals using their first electronically recorded blood test results and vital signs: a cross-sectional study [O] . Muhammad Faisal, Andrew J Scally, Natalie Jackson, 2018

机译：一项新的计算机辅助评分方法的开发和验证该方法可使用两家公司首次电子记录的血液测试结果和生命体征来预测两家急诊医院因急诊入院而导致院内死亡的风险：一项横断面研究
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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