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  1. Home
  2. Browse by Author

Browsing by Author "Soriyan, H.A."

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    An adaptive fuzzy Information Retrieval model to improve response time perceived by e-commerce clients
    (2010-01) Ajayi, Anuoluwapo Olanrewaju; Aderounmu, Ganiyu A.; Soriyan, H.A.
    In this paper, an adaptive fuzzy logic-based information retrieval model is presented to enable users retrieve exact and specific information they sort after. The proposed IR model takes into consideration the limited bandwidth between ISP and its users; and the characteristics (processor speed, memory size, resolution, availability of anti-virus, etc.) of clients’ devices in ensuring that a customer has a fruitful and eventful session while conducting business online. The model was designed using unified modelling language and implemented using Borland JBuilder. A performance evaluation of the proposed information retrieval system using two evaluation measures was conducted. The experimental result indicated that the model has an acceptable performance.
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    Development and Testing of a Graphical FORTRAN Learning Tool for Novice Programmers
    (Interdisciplinary Journal of Information, Knowledge, and Management, 2010) Ajayi, A. O.; Soriyan, H.A.; Akinboro, S. A.; Olajubu, E. A.; Ninan, D. F.
    To address the difficulties associated with computer programming, this article first looks at some reasons why students, especially engineering students, find programming such a daunting prospect, and it proposes a programming learning tool managed by a Deterministic Finite Automaton (DFA). The DFA machine used a graphical environment provided by Simulink to teach the FORmula TRANslator (FORTRAN) programming language to science students. The proposed programming learning tool and the traditional method of teaching were compared and evaluated. The results of evaluation indicated that there was an improvement in learning effectiveness of the proposed learning tool.
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    A FUZZY SEMANTIC INFORMATION RETRIEVAL SYSTEM FOR TRANSACTIONAL APPLICATIONS
    (Data Science Journal, 2009-10) Ajayi, A.O.; Soriyan, H.A.; Aderounmu, G.A.
    In this paper, we present an information retrieval system based on the concept of fuzzy logic to relate vague and uncertain objects with un-sharp boundaries. The simple but comprehensive user interface of the system permits the entering of uncertain specifications in query forms. The system was modelled and simulated in a Matlab environment; its implementation was carried out using Borland C++ Builder. The result of the performance measure of the system using precision and recall rates is encouraging. Similarly, the smaller amount of more precise information retrieved by the system will positively impact the response time perceived by the users
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