Browsing by Author "Aruleba, Kehinde D."
Now showing 1 - 2 of 2
Results Per Page
Sort Options
Item Algorithm for information retrieval optimization(IEEE, 2016-10-13) Agbele, Kehinde K.; Ayetiran, Eniafe F.; Aruleba, Kehinde D.; Ekong, Daniel O.When using Information Retrieval (IR) systems, users often present search queries made of ad-hoc keywords. It is then up to the information retrieval systems (IRS) to obtain a precise representation of the user's information need and the context (preferences) of the information. To address this problem, we investigate optimization of IRS to individual information needs in order of relevance. The goal of this article is to develop algorithms that optimize the ranking of documents retrieved from IRS according to user search context. In particular, the ranking task that led the user to engage in information-seeking behaviour during search tasks. This article discusses and describes a Document Ranking Optimization (DROPT) algorithm for IR in an Internet-based or designated databases environment. Conversely, as the volume of information available online and in designated databases is growing continuously, ranking algorithms can play a major role in the context of search results. In this article, a DROPT technique for documents retrieved from a corpus is developed with respect to document index keywords and the query vectors. This is based on calculating the weight (w ij ) of keywords in the document index vector, calculated as a function of the frequency of a keyword k j across a document. The purpose of the DROPT technique is to reflect how human users can judge the context changes in IR result rankings according to information relevance. This article shows that it is possible for the DROPT technique to overcome some of the limitations of existing traditional (tf × idf) algorithms via adaptation. The empirical evaluation using metrics measures on the DROPT technique carried out through human user interaction shows improvement over the traditional relevance feedback technique to demonstrate improving IR effectiveness.Item Towards a model for enhancing ICT4 development and information security in healthcare system(IEEE, 2016-03-24) Agbele, Kehinde K.; Oriogun, Peter K.; Seluwa, Ayodele G.; Aruleba, Kehinde D.Information and Communication Technology (ICT) is gaining ground in all areas of life, and, developing countries are taking advantage of this phenomenon in numerous sectors including, socio-economic development, education and healthcare. With particular emphasis on healthcare, where access to appropriate information can minimize visits to physicians and periods of hospitalization for patients suffering from chronic conditions that can cause untimely death if not properly treated, e.g. asthma, diabetes, TB and HIV/AIDS diffusion. The overall objective of this paper is to discuss and describe a model for enhancing ICT for development (ICT4D) and the significance of information security in healthcare institutions. The paper focus is important because we are particularly interested in the information security aspect of Electronic Health Records (EHRs) with patients' information protected from possible security threats in hospitals, when sensitive information has to be communicated among healthcare agents. We have identified some healthcare ICT information sharing components in the context of our proposed model as fundamental characteristics to fulfil the information requirements. We further describe how the identified agents in healthcare ICT readiness components interact with a required data to generate the desirable output we have termed in this paper as healthcare ICT SMART Impact. We believe our SMART model will provide support for the local indigenous communities, our target group in a developing economy through Telemedicine.