A capability based approach to improve effectiveness of information and computer technologies

机译：一种基于能力的方法来提高信息和计算机技术的有效性

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The paper presents an analysis of the ineffectiveness of the information and computer technologies (ICT) used by Russian enterprises. A capability based approach is proposed to improve this situation. The approach is focused on establishing a close and direct link from enterprise capabilities and values to ICT systems. The approach comprises: • A set of 9 universal capabilities, which are mandatory for ICT system. • Practical algorithm to transform/ concretize these capabilities into functional requirements for ICT-systems. Such requirements to be realized make ICT-systems valuable for enterprises and their stakeholders. The approach is illustrated by exemplar projects from the practice of the IBS Company where the author works.

机译：本文对俄罗斯企业使用的信息和计算机技术（ICT）的无效性进行了分析。提出了一种基于能力的方法来改善这种情况。该方法侧重于建立从企业能力和价值到ICT系统的紧密直接联系。该方法包括：•一组9种通用功能，这些功能对于ICT系统是必不可少的。 •将这些功能转换/具体化为ICT系统功能需求的实用算法。要实现的这些要求使ICT系统对于企业及其利益相关者而言非常有价值。本文作者在IBS公司的实践中通过示例项目对这种方法进行了说明。

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《International Conference on System of Systems Engineering》|2014年|43-48|共6页
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Belov Mikhail V.;
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Companies; Computers; Information processing; Manufacturing; Software; Systems engineering and theory; capability-based engineering; effectiveness and efficiency; enterprise system; information and computer technologies;

机译：公司;电脑;信息处理;制造业;软件;系统工程与理论;基于能力的工程;有效性和效率;企业系统;信息和计算机技术;
入库时间 2022-08-26 15:17:12

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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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A capability based approach to improve effectiveness of information and computer technologies

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