Browsing by Author "Johnson, A. O."

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Application of fuzzy logic concept to profitability quantification in plastic recycling
(2006) Oke, S. A.; Johnson, A. O.; Popoola, I. O.; Charles-Owaba, O. E.; Oyawale, F. A.
This paper aims at applying a fuzzy logic control model to profitability in a case study of the plastic recycling industry in Nigeria. The studies of profitability components of the plastic recycling industry as used to develop a model framework and the application of fuzzy logic control model to the framework are given in this paper. A brief introduction to profitability concepts as well as useful suggestions and conclusions are all integral part of this paper which is based on the application of a fuzzy logic model of control to profitability concept in plastic recycling industry.
Choledochal cysts in African infants: a report of 3 cases and a review of the literature.
(2005) Akinyinka, O. O; Falade, F. O; Akinbami, T. A.; Atalabi, M.; Irabor, D.; Ogunbiyi, O.; Faweya, A. G.; Madarikan, B. A.; Onojobi-Daniel, A.; Johnson, A. O.
Choledochal cysts are relatively rare and are an uncommon cause of cholestasis. Early diagnosis and prompt treatment can prevent complications such as cholangitis, cirrhosis and portal hypertension. This article reviews a rarely reported disease in Africans in whom only 3 cases were documented over the 18 year period between less than a month and 13months at presentation. All presented with abdominal sweeling with or without jaundice or alcholic stools. The use of real-time ultrasonography antenatally and postnatally aided the diagnosis in our patients. Two of the patients presented and were operated and both made full recovery confirming the importance of early surgical intervention. The third patient died, and exemplified the consequences of delayed diagnosis and treatment which occur not uncommonly in dveloping countries mostly because of sparse and or expensive tertiary health care facilities.
A neuro-fuzzy linguistic approach in optimizing the flow rate of a plastic extruder process
(Centre of Professional Research Publications, 2006) Oke, S.A.; Johnson, A. O.; Charles-Owaba, O. E.; Oyawale, F. A.; Popoola, I. O.
The plastic extruder system is an important process in the solid waste recycling system. This paper optimizes the flow rate of this process with the application of a neuro-fuzzy model. The model identifies a specified desired output from a large number of input parameter. The methodology adopted is neuro-fuzzy. The concept of neuro-fuzzy is not new as a research methodology but new in its applied form to plastic recycling extruder process. The result obtained indicates the feasibility of applying the methodology in this instance. Thus, the study may be extended to other recycling processes apart from plastic base. The study is predicated on the need to attain more precision in the derivation of optimal values for the plastic extruder system in recycling plant. The research has strong economic implications since it has theory with an applied bias on a problem experienced by the industry. It can be used by managers in the plastic industry, or practitioner i.e. those supporting practice such as consultants or software developers, to mention a few. The work particularly has an economic justification. Intrinsically, the result obtained being an improvement over what was reported by earlier researchers is noteworthy. The paper is new in that it appears to be the first application of neuro-fuzzy in the system being researched.