Latest articles

In this paper, we present a conceptual model for knowledge evaluation. After a literature review, over various definitions on knowledge, we first extracted the main plausible features of knowledge both its nature and meaning. The main features are amount of information, verification of information and…

Marine diesel engine provides the prime mover for the majority of ship propulsion systems and as such plays a fundamental role in ship operational and economy. Ship owners and operators focuses to the development of improved method of analysis, operation, fault condition diagnosis, performance monitoring,…

  Technology-supported learning environments no longer need to conform to the traditional classroom environment where information is uniformly disseminated. Instead, the application of technologies means that learners can participate actively in their own knowledge acquisition process. Over the years teaching and learning practices have moved…

Quality management is a very important contributor for the success of software project management. In quality management area we can find multiple activities to carry out, however organizations cannot always execute all those tasks and many times it is indispensable to make choices about what…

Developing a strong and complete lexicon is essential for many Natural Language Processing (NLP) related applications such as Information Retrieval, Question Answering Systems, Natural Language Generation and Machine Translation. Such lexicon should be supported by a strong theoretical framework and implemented using tools that will…

Named Entity Extraction is a very new in Arabic Natural Language processing although it has reached maturity for some other languages such as English and French. In this paper, we describe the development and implementation of a person name named entity recognition system for the…

This paper is the first to collect and organize the many past theoretical results on the predicted welfare effects of privatization in mixed oligopolies. Our review of past models demonstrates that the most critical elements in predicting the influence of privatization in mixed oligopoly are…

Associative classification (AC) is a branch in data mining that utilises association rule discovery methods in classification problems.This paper idea aims to discuss and evaluate a modeling approach for student evolution. It is developed as a component of an adaptive achievement system. At the beginning…

This paper explores current models and practice regarding the dynamics of financial flows along global supply networks. Based on data collected from technology and service providers that focus on such issues along global supply networks, the paper identifies and discusses requirements for improved solutions to…

Mobile learning (m-Learning) is an ubiquitous learning activity supported by the appropriate mobile technology and pedagogical approach. Mobile learning research has experienced a significant growth in the last half a decade, following the increase in  innovative applications and the expansion of the contexts in which…