Call for papers: International Journal of Learning and Change (IJLC)

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Call for papers: International Journal of Learning and Change (IJLC)

机译：征文通知：国际学习与变化杂志（IJLC）

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The International Journal of Learning and Change (IJLC) covers contemporary issues in individual and organisational learning and change and the management of change. It addresses both theoretical and practical issues that have a high relevance to reforming and revitalising organisational capability, knowledge and intellectual assets. Learning is essential to individuals and organisations, whilst change is inevitable and needs to be managed wherever possible. The advancement of human knowledge and understanding of organisational learning and appropriate responses to the process of change determine social and economic progress. IJLC is dedicated to both theoretical development and practical understanding of issues pertaining to learning and change, especially the process of learning and change in science and technology-driven developments and applications. It focuses on the sustainable development, efficacy, and ethics of learning and change.

机译：《国际学习与变革杂志》（IJLC）涵盖了个人和组织学习与变革以及变革管理中的当代问题。它解决了与改革和振兴组织能力，知识和知识资产高度相关的理论和实践问题。学习对个人和组织至关重要，而变革是不可避免的，需要尽可能加以管理。人类知识的发展和对组织学习的理解以及对变化过程的适当响应决定了社会和经济进步。 IJLC致力于理论学习和对与学习和变革有关的问题的实践理解，尤其是在科学和技术驱动的开发和应用中的学习和变革过程。它侧重于学习和变革的可持续发展，功效和道德。

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《International journal of knowledge and learning》 |2008年第3期|p.316|共1页
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机译：国际学习与变化杂志（IJLC）
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5. From paper tigers to engines of change: The effect of international human rights tribunals on domestic practice and policy. [D] . Hillebrecht, Courtney. 2010

机译：从纸老虎到变革引擎：国际人权法庭对国内实践和政策的影响。
6. Announcement of new journal and call for submission of papers: Surgical Neurology International [O] . James I. Ausman 2010

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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

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机译：科威特科学与工程期刊：科威特国际学报。专题文章第1期，1996年。并行和分布式计算会议的专题论文。 1995年3月举行

Call for papers: International Journal of Learning and Change (IJLC)

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