5 research outputs found

    Use cases in software development: an investigation in its roles and values

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    This research work identifies the roles and values of USE CASES in software development, and analysed the concept of USE CASES critically in other to ascertain their usefulness in achieving a user’s requirement when applied to a system development methodology. We examined the major considerations for deploying advanced UML modelling by considering the best approach for a programmer to get to the source code by putting the right aspect of the UML to work at the right stage of a system life cycle in an object (OO) oriented analysis and design practice. research has found out that to achieve a successful object oriented programming design and implementation, an analyst should strive to drive an OO software design from USE CASE

    The Effect of ICT on Federal Radio Cooperation of Nigeria

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    Information and Communication Technologies (ICT) developments have existed in Nigeria with a significant growth over the past decade. This paper looks at the role of emerging ICT on the general operations of Federal Radio Cooperation of Nigeria in achieving an objective of information decimation. This study shows that the ICT facilities have brought significant improvement to the FRCN service delivery which is important factor for growth and development in the society even though there are still some problems militating the use of ICT in the FRCN. The highest factor militating against the use of ICT is shortage of power supply followed by poor funding and lastly poor network facilities

    Large Spatial Database Indexing with aX-tree

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    Spatial databases are optimized for the management of data stored based on their geometric space. Researchers through high degree scalability have proposed several spatial indexing structures towards this effect. Among these indexing structures is the X-tree. The existing X-trees and its variants are designed for dynamic environment, with the capability for handling insertions and deletions. Notwithstanding, the X-tree degrades on retrieval performance as dimensionality increases and brings about poor worst-case performance than sequential scan. We propose a new X-tree packing techniques for static spatial databases which performs better in space utilization through cautious packing. This new improved structure yields two basic advantage: It reduces the space overhead of the index and produces a better response time, because the aX-tree has a higher fan-out and so the tree always ends up shorter. New model for super-node construction and effective method for optimal packing using an improved str bulk-loading technique is proposed. The study reveals that proposed system performs better than many existing spatial indexing structure

    Mining Complex Spatial Patterns: Issues and Techniques

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    Spatial data mining is the quantitative study of phenomena that are located in space. This paper investigates methods of mining patterns of a complex spatial data set (which generally describes any kind of data where the location in space of object holds importance). We based this research on the analysis of some spatial characteristics of certain objects. We began with describing the spatial pattern of events or objects with respect to their attributes; we looked at how to describe the spatial nature/characteristics of entities in an environment with respect to their spatial and non-spatial attributes. We also looked at modelling (predictive modelling/knowledge management of complex spatial systems), querying and implementing a complex spatial database (using data structure and algorithms). Critically speaking, the presence of spatial auto-correlation and the fact that continuous data types are always present in spatial data makes it important to create methods, tools and algorithms to mine spatial patterns in a complex spatial data set. This work is particularly useful to researchers in the ¯eld of data mining as it contributes a whole lot of knowledge to di®erent application areas of data mining especially spatial data mining. It can also be useful in teaching and likewise for other study purposes
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