University of Ibadan Journals
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Design of a Web-Based Vehicle Registration System Using QR Code
Get PDFThe emergence of Information Technology (IT) and its application to our everyday life has made life easier by improving on the manual processes and operations across every facet of life. Information Technology has made great impacts on applications including health, finance, agriculture, and most importantly as this study is concerned with vehicle registration. In Nigeria, the whole vehicle registration process used to be purely manual; however, the current process is a combination of manual and technology-driven processes where problems such as inaccuracy, inefficiency and lack of flexibility still exist. Hence, this study is aimed to design and develop an online vehicle registration that would integrate different forms of registration needed for vehicle use. The designed system incorporates vehicle and user information page into a QR code such that the information can be accessible when the QR code is scanned. The study highlights related work from different studies, and provides useful recommendation for the improvement and deployment of the vehicle registration system in Nigeria
Deep Convolutional Neural Networks Architecture with Pre-Filtered and Segmented Dermoscopic Images
Get PDFDeep Convolutional Neural Networks (DCNN) involve alternating convolutional layers, non-linearity layers and pooling layers for identifying patterns in input. The pooling retains important information while down sampling the dimensionality of the feature map on dermoscopic images used for early cancer diagnosis. Existing DCNN for dermoscopic image analysis employs Max Pooling (MP) and Average Pooling (AP) due to their efficiency. The MP works best on images of dark background with lighter object, while AP works better on images of lighter background with darker object. An online International Skin Imaging Collaboration (ISIC) dermoscopic image dataset obtained from 2016 - 2019 was used for the research. A novel DCNN, IP-DCNN developed and configured with rectified linear unit activation function, multiclass cross entropy loss and Softmax functions. Evaluation of the IP-DCNN with filtered-segmented images was done by comparing its performance with existing current studies which used DCNN architectures. The developed interpool deep convolutional neural networks provided an improved performance over the pure deep convolutional neural networks and its existing variants. 
Sentiment Analysis for Seller Integrity Authentication on a Business Page
Get PDFMarkets have transformed over time from being predominantly analogue to becoming increasingly digital,presenting a plethora of opportunities for businesses to exploit in terms of improving and streamlining business processes. As technology advanced, the digital markets have given businesses the platform for better visibility and more stability. However, a buyer's inability to accurately evaluate sellers’ authenticity, based on ratings and reviews on items they wish to purchase on a business page, presents a significant vulnerability for dubious sellers who may use fraudulent ratings and reviews to exploit unsuspecting buyers. This study adopts a machine learning approach to authenticate seller integrity on business pages through sentiment analysis. Data was extracted from customer reviews and ratings from selected brands of digital products across five major ecommerce sites: Jumia, Konga, Amazon, eBay, and Aliexpress. The model was built using Support Vector Machine algorithm to categorize the sentiments expressed in reviews as positive, negative, or neutral. The machine learning approach was selected due to its effectiveness in pattern recognition, adaptability to evolving data patterns and its suitability in providing high accuracy in sentiment classification. The model's performance was assessed with the training dataset yielding 99.58% accuracy and the test dataset achieving 97.27% accuracy. The results present a reliable method for enhancing consumer trust in online marketplaces by verifying seller authenticity based on their ratings and reviews on a business page. 
Enhancing Regulatory Compliance in the National FinTech Ecosystem: A Centralized RegTech Approach
Get PDFThis study looked at a centralized regtech approach to improving regulatory compliance in the national financial technology ecosystem. The study's specific goals are to design a FinReg/FinTech ecosystem using the new National Financial Ontology (NFO) model and investigate the issue of information overload using a cost effective algorithm in the program. This was tested using the big O time notation to show that the size of the data does not affect processing time. Centralization of regulatory technology (RegTech) is a crucial method to strengthening regulatory compliance and control in the fast evolving financial technology (fintech) sector. The Object-Oriented methodology (OOM), which focuses on encapsulating the behavior and structure of information systems into compact modules, is the approach used in this study
Contemporary Issues Affecting Excellent Service Delivery in Teacher Training Institutions
No full textIn recognising the roles of teachers as important agents of societal transformation and nation-building, the Federal Government of Nigeria established colleges of education to produce highly conscientious, competent and certified teachers for primary and junior secondary schools. These teachers are expected to satisfy the needs and expectations of parents, students and other stakeholders through quality service delivery. Excellent service delivery is the highest level of care that can be provided to parents, students and other customers within the scope of educational organisation. This paper, therefore, examined the concept of teacher education, excellent service delivery and contemporary issues affecting excellent service delivery in teacher training institutions. It was concluded that if the issues of inadequate funding, lecturers’ cadre, academic staff – students relations, admission policy, management, facilities and staff commitment are not properly addressed, teacher training institutions would not be able to render excellent services to the society in the form of production of highly conscientious, competent and certified builders of the nation. It was therefore recommended that colleges of education as should be properly funded by all education stakeholders to attract and maintain highly qualified staff and equally provide better facilities to facilitate effective teaching and learning. The cadre of lecturers in the colleges of education should be changed to the cadre of lecturers in the universities
Sustaining National Development through Quality Technical Education in Ondo State, Nigeria
No full textTechnical Education, which is geared towards preparing people for technological development of a nation, is fast diminishing in terms of recognition and utilization. Consequently, there is serious reduction in production of skilled and competent personnel who drive the economy for sustainable development at craft level in Nigeria. This study therefore was carried out to examine sustaining National Development through Quality Technical Education in Nigeria. A descriptive survey research design was used. The study was conducted in the five Technical Colleges in Ondo state and purposive sampling was used in selecting 55 technical teachers. Three research questions were formulated and answered. A modified structured questionnaire called Sustaining National Development Through Quality Technical Education In Nigeria Questionnaire (SNDTQTEINQ) with a reliability coefficient of 0.82, was used to collect data for the study. The data were analyzed using descriptive statistics. The results revealed that teaching-learning facilities are grossly inadequate (x? = 1.68, SD = 1.24) most available facilities are obsolete (x? = 1.29, SD = 1.20), infrastructural materials for teaching-learning are rarely utilized (x? = 1.21, SD = 1.25), and there are acute shortage of Technical instructors (x? = 2.24, SD = 1.35; x? = 2.30, SD = 1.37), for effective training and teaching. These culminated to weakening the quality of technical education. Based on these findings, it was recommended that timely intervention is required in the area of providing adequate learning facilities, refurbishing old equipments, provision and utilization of technical infrastructures, and employment of more technical experts to all technical colleges should be given preference if the desired national sustainable development through quality technical education is to be achieved
Innovative Educational Management Practices in the Implementation of the Nigeria’s National Policy on Education for Sustainable Learning: Issues, Concerns and the Way Forward
No full textThis paper discussed innovative practices in the National Policy on Education (NPE) with regards to its implementation in attending to this crisis period for sustainable learning in Nigeria. The paper therefore examined all the concepts involved and while ex-raying the section of the policy concerned with planning and administration of education in Nigeria, identified issues, concerns and the way forward for the implementation of the policy to attend to this crisis period for sustainable learning in Nigeria. The paper identified innovative educational management issues such as sharing of responsibilities between all tiers of government and participation and involvement of communities among others. Similarly, it noted concerns such as rift between tiers of government and politicization of community involvement among others. On the way forward, the paper suggested the need for the delineation of the responsibilities of all tiers of government and increased participation of the community in the implementation of the national policy among others
Supervision and In-Service Training as Correlates of Secondary School Teachers’ Productivity in Ogun East Senatorial District
No full textSecondary education is facing a lot of problems that has given rise to poor outputs or products. It was observed that poor quality of products from secondary schools was as a result of multi-faceted problems bedeviling the system in Nigeria. Such problems are inadequate facilities, low morale of teachers, poor supervision of schools, frequent changes in educational policies, lack of in-service training and so on. It is against this background problem that the study investigated the relationship among supervision, in-service training and secondary school teachers’ productivity in Ogun State East Senatorial District of Ogun State, Nigeria. This study adopted the descriptive research design of the survey type, while the simple random sampling technique was used to select the sample. The sample of the study were 500 respondents. The research instrument was tagged: Supervision, InService Training and Secondary School Teachers’ Productivity Questionnaire (SISTSSTPQ). The reliability co-efficient of the instrument was 0.77. Inferential statistics of Pearson Product Moment Correlation (PPMC) was used to test hypotheses 1-2 and hypotheses 3 was tested using Regression Analysis at p<0.05 level of significance. The result of the study showed that there was significant and positive relationship between supervision and secondary school teachers’ productivity, r = (0.724), (0.017), p<0.05; the hypothesis two revealed that there was significant and positive relationship between in-service training and secondary school teachers’ productivity, r = (0.765), (0.014), p<0.05; while the hypothesis three revealed that there was composite relationship among supervision, in-service training and secondary school teachers’ productivity; F(2, 480) = 36.943, P<0.05. The study concluded that supervision and in-service training has great implication on secondary school teachers’ productivity. It was therefore recommended that there should be constant full supervision in both government and private owned secondary schools on yearly basis. Government should provide opportunities for teachers to attend trainings regularly so as to keep them abreast of present global trends in teaching and learning process
Examining the Free Fee Policy Implementation in Public Primary Education Management in Ebonyi State, Nigeria
No full textThis study examined the free fee policy implementation in the public primary education management with focus on three key performance indicators namely: quality of education provision, pupils’ enrolment and infrastructural facilities provision to establish whether the policy has brought to an end or a new beginning to public primary education challenges in Nigeria. Ebonyi State was used as the case study. The study employed descriptive survey research design. The population of the study comprised of all head teachers in public primary schools in Ebonyi State. Stratified simple random sampling technique was used to select 600 head teachers that formed the sample size of the study. The instrument for data collection was a 25 item structured questionnaire developed by the researchers and was duly validated with a reliability index of ‘r’ = 0.87 using the Cronbach Alpha statistical tool. Data collected was analyzed using the statistical method of mean and standard deviation for the research questions and t-test statistic for the hypotheses. One of the findings of the study was that enrolment into public primary schools was on the decrease in Ebonyi State. Based on the findings, the study concluded that if government does not give urgent attention to public primary education in Ebonyi State, there may be a soon end of it. The study therefore recommended among others that government should ensure adequate provision and maintenance of infrastructural facilities in public primary schools in Ebonyi State
Auto-Vehicle Operation and Emission Assessment Tested under Ambient Conditions within Minna, Nigeria
Get PDFHeightened levels of auto-vehicle emissions are deemed to be one of the significant contributors to environmental air pollution and health hazards for road users. The frequent use of various auto-vehicles for commuting purposes involving people and freight, especially within urban centres proliferates this concern. This study deployed secondary data obtained from the computerized vehicle inspection office in Minna, via the use of an exhaust gas testing device (F 5000 – 5 series) to examine idle emission data from the exhaust pipes of auto-vehicles. Emission data involving three main pollutants namely, carbon monoxide (CO), nitrous oxide (NO), and sulfur dioxide (SO2) was collected from 385 vehicles inspected at the computerized vehicle inspection office in Minna. For reliability and credibility, purposive sampling involving valid vehicular records was used for data analysis. Empirical findings from the gas analyzer indicated that CO and NO were the major pollutants with significant isolated concentrations among auto-vehicles. Their peak values observed were 19 ppm and 0.24 ppm respectively, for mass transit buses and heavy-duty vehicles. Results from the Binary Logistic Model (BLM) indicated that the frequency of vehicle maintenance through regular oil change (????1) as a predictor, was a significant factor in determining emission levels for tested auto-vehicles (???? < 0.05). The likelihood ratio, Exp(B) for ????1 compared to other predictors was 2.904