Development of Web-Based System for Knowledge Warehousing and Mining of IT Human Capital and Infrastructure of Nigerian Tertiary Institutions

The survey carried out and reported on in this paper is one of the action plans of National Information Technology Development Agency (NITDA) on its intervention in capacity building for Nigerian tertiary institutions and by extension the education sector of Nigeria economy. The method and materials of the research are survey and acquisition of the knowledge of IT human capital and infrastructure, development of a warehouse of the knowledge and a Web Site for hosting the knowledge warehouse. A software engine for the mining, processing, periodic update of the knowledge warehouse and statistical analysis of findings was developed as well. The system is meant to serve as a platform for testing and measurement of the Strength, Weakness Opportunity and Threat (SWOT) of Nigerian tertiary institutions with a view to identifying their areas of needs for intervention funds. The system may serve as a window to online and real time accreditation of academic programmes by the regulatory bodies such as NUC, NBTE and NCCE, as well. Keywords: NITDA, SWOT, HTML, WAMP, Software

Factor Analytic Model for evaluating the effects of a human resource profile on organisational productivity: a case study of university academic staff

No Abstract.South African Journal of Higher Education 2005, Vol. 19(3): 527-53

Development of a Hybrid Platform for Thumbprint Forensics

Thumbprint has remained the most commonly used technique for biometric identification in the world today. Research activities on the improvement of the theory and practice of thumbprint forensics have, therefore continued to be a major task in the world today. The research which is reported in this paper takes a study of the features of the existing and popular research activities on the theory and practice of thumbprint forensics, analyzed their Strengths, Weaknesses, Opportunities and Threats (SWOT) and proposed a hybrid system for thumbprint forensics which integrates the strengths and opportunities. The hybrid system is characterized by an architecture which is composed of database of thumbprint profile, data mining engine and decision support engine. The data mining engine is composed of thumbprint image enhancement, thumbprint minutiae extraction, database of thumbprint minutiae extraction, thumbprint pattern recognition and thumbprint pattern matching. The decision support engine is composed of error detection and error correction subsystems. Keywords: Forensics, Biometrics, Thumbprint, Minutiae, Segmentation, Normalization, Binarizatio