Department of Systems Engineering

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Browsing Department of Systems Engineering by Author "Ajibola, O.O.E."

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    Open Access
    Assessment of Home-Based Nigerian Engineers on Risk Management Approach during Project Implementation
    (Journal of Applied Sciences and Environmental Management, 2018) Ajibola, O.O.E.; Omiyale, A.D.; Ogunwolu, L.
    The objectives of this paper are to identify possible gaps in identification, evaluation, analysis, implementation and effectiveness of risk management approaches among home-based consulting Engineers in Nigeria vis-à-vis the implementation of such practices. Structured Questionnaire method was adopted as the survey instrument to collect data centred on issues on the subject matters. Out of 80 questionnaires distributed, 61 were returned and 6 of the returned responses rendered invalid leaving 55 valid questionnaires. The Analysis of Variance (ANOVA) and Correlation methods were adopted for statistical analysis with respect to which four hypotheses based on the subject matter were formulated and evaluated using the F-and Correlation statistics. The first premised on risk identification resulted in comparative F-statistics of Fcrit = 0.057592 < Fcrit = 2.866081, the second on risk evaluation yielded Fcrit = 0.194683 < Fcrit = 2.866081 while the third based on risk management implementation resulted in Fcrit = 0.093474 < Fcrit = 2.866081. The results of the first three hypothesis indicted the home-based Consulting Engineers of not identifying, analysing/evaluating and implementing risk management approaches in project execution respectively. The fourth hypothesis premised on correlation between management approach and policy implementation yielded a correlation statistics of 0.501642 establishing a positive correlation between the two among the home-based Consulting Engineers. The study thus establishes risk management practices as key to successful project management and its neglect as major causal factor for project failures in Nigeria.
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    Open Access
    Conceptual and Simulated Semi-Automatic Urban Waste Management System using Global Systems for Mobile Communication and Customer Reliability Indices
    (Journal of Applied Sciences and Environmental Management, 2019) Ogunwolu, L.; Omiyale, A.D.; Ajibola, O.O.E.
    Municipal Solid Waste Management (MSWM) poses great challenges to many cities around the world. The challenges are fuelled by population explosions all over the world, especially in the major urban centres, against the backdrop of limited resources to manage wastes efficiently. In this paper, a conceptual and simulated semi-automatic approach to MSWM is considered using the prevalent Global Systems for Mobile Communication (GSM) technology to engage both the waste generators and collectors. This system connects users into a central database where data about their waste bin levels are harnessed. Users are prompted via GSM handsets daily for the level of the waste bin. Waste Collection Vehicles are routed based on the responses while an updatable Reporting Reliability Index (RRI) is computed for each user based on estimate of actual level of waste collected as against the reported level to factor future reporting. With history of collection volume at a location known, forecast is made as to the generated waste level when a customer’s response to prompt is not available. The system is tested on a simulated 30-node housing estate and two dump sites with vehicles routed to optimize distance covered and volume of waste collected. Customers report when prompted with 0, 1, 2, 3, 4 for waste levels ranging from empty to full bin fills. Vehicles are routed to collect wastes at locations with a minimum threshold level of 2. Results obtained showed statistically insignificant differences in distribution of means of collection distance covered weekly but 13.31 volume units/km collected with this method compared with 3.08 volume units/km run of fixed routing scheme, at alpha = 0.05. The cost saving potential and environmental benefits of timely waste disposal of this scheme is thus demonstrable.
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    Open Access
    Modelling Gait Syndrome in Huntington's Disease: The Genetic Algorithm Approach
    (Nigerian Journal of Technology, 2017) Ajibola, O.O.E.; Ogunwolu, L.
    Huntington’s disease (HD) which usually affects the patients at middle age results from malfunctioning of the basal ganglia. It is characterized by cognitive impairment, involuntary movements, neuropsychiatric and psychological disturbances. Early motor signs of Huntington’s disease typically include the gradual onset of clumsiness, balance difficulties, and brief, random, fidgeting movements. A popular approach to solving symptoms arising from HD has been through the administration of drugs. But drugs debase human activities, thus the application of electroconvulsive therapy. This work proposes a genetic algorithmic (GA) simulation of chorea in HD patient as a pedestal for the design of a therapeutic device aimed at managing the phenomenon. Earlier efforts have led us to the formulation of such models in recent past. We also compared the GA model with our foremost effort: the electromechanical model, and we observe that the GA model adequately capture the physiological presentation of gait phenomenon in Huntington’s disease.