Corrigendum to 'Development of risk based dynamic backorder replenishment planning framework using Bayesian Belief Network' [Computers & Industrial Engineering 62 (2012) 716-725]

KwangSup Shin; YongWoo Shin; Ji-Hye Kwon; Suk-Ho Kang

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Corrigendum to 'Development of risk based dynamic backorder replenishment planning framework using Bayesian Belief Network' [Computers & Industrial Engineering 62 (2012) 716-725]

机译：“使用贝叶斯信念网络开发基于风险的动态补货计划框架”的勘误[计算机与工业工程62（2012）716-725]

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The publisher regrets that the incorrect affiliation and email ad dress was published for the first author of this paper. The correct affiliation and email address are indicated in the author list above and reproduced below: Graduate School of Logistics, University of Incheon 12-1, Songdo-Dong, Yeonsu-Gu, Incheon-Si, 406-772, Republic of Korea.The publisher would like to apologise for any inconvenience this may have caused to the authors of this article and readers of the journal.

机译：发布者感到遗憾的是，本文的第一作者发表了不正确的从属关系和电子邮件广告。正确的隶属关系和电子邮件地址显示在上方的作者列表中，并在下方复制：韩国大韩民国406-772，仁川市延寿区仁川市仁川大学12-1物流学研究生院。对于由此给本文的作者和期刊读者带来的不便，出版商深表歉意。

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《Computers & Industrial Engineering》 |2012年第1期|p.354|共1页
作者
KwangSup Shin; YongWoo Shin; Ji-Hye Kwon; Suk-Ho Kang;
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作者单位

Graduate School of Logistics, University of lncheon 12-1, Songdo-Dong, Yeonsu-Gu, Incheon-Si, 406-772, Republic of Korea;

Entrue Consulting Partners, LG CNS, 25F, Seoul Finance Center, 84, TaePyeong-ro 1-ga, Chung-gu, Seoul 100-768, Republic of Korea;

Republic of Korea Navy, P.O. Box 602-2, Hyundong, finhye-si, Gyeong Sang Nam-do, Republic of Korea;

Department of Industrial Engineering, College of Engineering, Seoul National University, San 56-1, DaeHak-dong, Gwanak-gu, Seoul 151-742, Republic of Korea;

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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）

Corrigendum to 'Development of risk based dynamic backorder replenishment planning framework using Bayesian Belief Network' [Computers & Industrial Engineering 62 (2012) 716-725]

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