Le développement accéléré des technologies de communication, de saisie et de traitement de l’information durant les dernières années décennies ouvre la voie à de nouveaux moyens de contrôle social. Selon l’auteur Gary Marx ceux-ci sont de nature non coercitive et…

Previous work on an interactive system aimed at helping non-expert users to enlarge the monolingual dictionaries of rule-based machine translation (MT) systems worked by discarding those inflection paradigms that cannot generate a set of inflected word forms validated by the…

This paper aims to clarify an economic mechanism behind the growing dichotomy between geo-economics and the borderless global knowledge economy. The proposed hypothesis is that geo-economic fault-lines, which are the product of the past prejudices of racial, linguistic, and cultural…

The ambiguity, robustness and performance of systems becomes increasingly evident as the complexity and size increase in industrial processes. Under these circumstances, conventional control techniques such as PID control, nonlinear feedback control, LQG control and H∞ control have several disadvantages…

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Introduction: Towards a knowledge-based society, Case study: Mobilizing OER to educational practice, Sharing: Publication of academic content through OER, Selection: Documentation and evaluation of academic content, Dissemination: Communication and reference of academic content, Mobilization: Transference of academic content, Lessons learned…

This study examines the relationship between knowledge management and organizational resilience. The sample for the study consisted of one hundred and twenty eight (128) employees from the thirty four manufacturing companies that are registered with the manufacturers Association of Nigeria,…

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This article reviews the most significant milestones
in CAD methodologies for intelligent EM-based modeling and
design optimization using artificial neural networks and space
mapping. We consider knowledge-based and automatic neural
network model generation based on advanced data sampling
algorithms. Computationally…

Data quality issues have taken on increasing importance in recent years. In our research, we have discovered that many “data quality” problems are actually “data misinterpretation” problems – that is, problems with data semantics. In this paper, we first illustrate…