Erratum to 'Pulse dynamics and interaction on anisotropic surfaces: a computer assisted study'[Chemical Engineering Science 55 (2000)257-266]

J.Krishnan; M.Bar; R.Imbihl; I.G.Kevrekidis

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Erratum to 'Pulse dynamics and interaction on anisotropic surfaces: a computer assisted study'[Chemical Engineering Science 55 (2000)257-266]

机译：勘误表“各向异性表面上的脉冲动力学和相互作用：计算机辅助研究” [化学工程科学55（2000）257-266]

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《Chemical Engineering Science》 |2000年第15期|共1页
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J.Krishnan; M.Bar; R.Imbihl; I.G.Kevrekidis;
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1. Erratum to "Pulse dynamics and interaction on anisotropic surfaces: a computer assisted study"[Chemical Engineering Science 55 (2000)257-266] [J] . J.Krishnan, M.Bar, R.Imbihl, Chemical Engineering Science . 2000,第15期

机译：勘误表“各向异性表面上的脉冲动力学和相互作用：计算机辅助研究” [化学工程科学55（2000）257-266]
2. A computer-assisted study of pulse dynamics in anisotropic media [J] . Krishnan J., Bar M., Lust K., Physica, D. Nonlinear phenomena . 2001,第1a2期

机译：各向异性介质中脉冲动力学的计算机辅助研究
3. Corrigendum to 'Surface area of general ellipsoid shaped food materials by simplified regression equation method' [Journal of Food Engineering 46 (2000) 257-266] [J] . C. Igathinathane, P.K. Chattopadhyay Journal of food engineering . 2008,第4期

机译：通过简化的回归方程方法更正“椭圆形食品原料的表面积” [食品工程学报46（2000）257-266]
4. Study on Curriculum Teaching Related Computer for Non-Computer Specialty of Sciences and Engineering [C] . MIN Xinmin, ZHANG Baorong 第四届国际计算机新科技与教育学术会议(2009 4th International Conference on Computer Science Education)论文集 . 2009

机译：非计算机科学与工程专业课程教学相关计算机的研究
5. ELECTRONIC STRUCTURE AND REACTIVITY OF CHEMICALLY MODIFIED MOLYBDENUM(100) SURFACES AND APPLICATION OF PULSED LASER HEATING TO STUDIES OF SURFACE CHEMICAL PHENOMENA. [D] . GRANT, JOHN LEONARD. 1987

机译：化学修饰的钼（100）表面的电子结构和反应性以及脉冲激光加热在表面化学现象研究中的应用。
6. Generation of Subsurface Voids Incubation Effectand Formation of Nanoparticles in Short Pulse Laser Interactions withBulk Metal Targets in Liquid: Molecular Dynamics Study [O] . Cheng-Yu Shih, Maxim V. Shugaev, Chengping Wu, -1

机译：地下空隙的产生孵化效应短脉冲激光相互作用中纳米粒子的合成与形成液体中的大块金属靶：分子动力学研究
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）
8. Initial Submission: Letter from CIBA Specialty Chemicals Corp. to USEPA Results in 28-Day Oral Toxicity (Gavage) Study in the Wistar Rat of Fat 55,56/A (Confidential), dated 03/03/2000. (Sanitized) [R] . 2000

机译：初始提交：CIBa特种化学品公司致美国环保局的信函，结果发表于Wistar Rat of Fat 55,56 / a（机密），日期为03/03/2000的28天口服毒性（灌胃）研究。（的sanitized）

Erratum to 'Pulse dynamics and interaction on anisotropic surfaces: a computer assisted study'[Chemical Engineering Science 55 (2000)257-266]

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