Jimoh O.A.,Universiti Sains Malaysia |
Jimoh O.A.,Federal University, Lokoja |
Okoye P.U.,Universiti Sains Malaysia |
Ariffin K.S.,Universiti Sains Malaysia |
And 2 more authors.
Journal of Cleaner Production | Year: 2017
Green templating agents for evolving new morphologies and shapes of precipitated calcium carbonate (PCC) with wide-ranging potential applications are desirable. In this study, aloe vera (Aloe barbadensis Miller) extract (0.5%–5%, v/v) was utilized as a green modifier for the synthesis of a PCC composite with a new crystalline structure. A continuous PCC synthesis was conducted using a tall and narrow tubular column reactor with a favorable height-to-diameter ratio (l/d = 150 cm/10 cm). The morphology, particle size, crystalline structure, and thermal characteristics of the synthesized PCC were studied by scanning electron microscopy, X-ray diffraction, particle size distribution, thermogravimetric analysis, differential thermal analysis, and Fourier transform infrared spectroscopy. Aloe vera extract concentrations above 0.5% (v/v) significantly influenced the particle size and morphology of the synthesized PCC but only marginally influenced the PCC yield. Under ambient temperature, and using aloe vera extract concentration above 0.5% (v/v), and 1 L/min CO2 flow rate, a rhombohedral calcite and aragonite composite with a polycrystalline dumbbell-like structure with radiating ends was produced. The morphology, particle size, and polymorphs of the CaCO3 crystals could be further tuned by varying the concentrations of the aloe vera extract. The synthesized PCC had a particle in the size range of 120–200 nm. © 2017 Elsevier Ltd
Oluwagbemi O.,Federal University, Lokoja |
Oluwagbemi F.,Covenant University |
Abimbola O.,Covenant University
Informatics in Medicine Unlocked | Year: 2016
Ebola Virus Disease (EVD) also known as the Ebola hemorrhagic fever is a very deadly infectious disease to humankind. Therefore, a safer and complementary method of diagnosis is to employ the use of an expert system in order to initiate a platform for pre-clinical treatments, thus acting as a precursor to comprehensive medical diagnosis and treatments. This work presents a design and implementation of informatics software and a knowledge-based expert system for the diagnosis, and provision of recommendations on the appropriate type of recommended treatment to the Ebola Virus Disease (EVD). In this research an Ebola fuzzy informatics system was developed for the purpose of diagnosing and providing useful recommendations to the management of the EVD in West Africa and other affected regions of the world. It also acts as a supplementary resource in providing medical advice to individuals in Ebola – ravaged countries. This aim was achieved through the following objectives: (i) gathering of facts through the conduct of a comprehensive continental survey to determine the knowledge and perception level of the public about factors responsible for the transmission of the Ebola Virus Disease (ii) develop an informatics software based on information collated from health institutions on basic diagnosis of the Ebola Virus Disease-related symptoms (iii) adopting and marrying the knowledge of fuzzy logic and expert systems in developing the informatics software. Necessary requirements were collated from the review of existing expert systems, consultation of journals and articles, and internet sources. Online survey was conducted to determine the level at which individuals are aware of the factors responsible for the transmission of the Ebola Virus Disease (EVD). The expert system developed, was designed to use fuzzy logic as its inference mechanism along with a set of rules. A knowledge base was created to help provide diagnosis on the Ebola Virus Disease (EVD). The Root Sum Square (RSS) was adopted as a fuzzy inference method. The degree of participation of each input parameter was shown using the triangular membership function and the defuzzification technique used is the Center of Gravity (CoG). The resulting software produced a user-friendly desktop-based, Windows-based, application and the tools used were explained in the results section in three (3) separate phases. First, a comprehensive online survey was conducted over a period of about 3–9 months. 100 Participants participated in the survey on the perception and knowledge analysis of different individuals about Ebola Virus Disease (EVD) transmission factors. 31% of the participants didn't know that there is presently no cure for Ebola. 28% believed that there is presently a cure for Ebola. 43% agreed that Ebola is both air-borne and water-borne, while 33% disagreed, 24% do not know. 23% believed that insects and mosquitoes can help in transmitting the Ebola Virus Disease (EVD), while 30% were completely ignorant. We noticed that ignorance was a major limiting factor among some participants. Second, a test was conducted among 45 people. Results from a comprehensive testing of the Ebinformatics software by allowing users to operate and use the software, revealed that 60% of them were satisfied, while 16% were not satisfied with the software, while 24% were indifferent. 69% of the users were in agreement that Ebinformatics was supportive, 20% disagreed, while 11% were indifferent. 67% found the software easy to use, 13% disagreed, while 20% were indifferent. Third, the output of the software, showing the various diagnosis and recommendations interfaces were presented. Recommendations were also given with respect to how the system can be extended, and further improved upon. © 2016
Singh J.,Ahmadu Bello University |
Kalantonis V.S.,University of Patras |
Gyegwe J.M.,Federal University, Lokoja |
Perdiou A.E.,University of Patras
Astrophysical Journal, Supplement Series | Year: 2016
We consider a modification of the restricted three-body problem where the primary (more massive body) is a triaxial rigid body and the secondary (less massive body) is an oblate spheroid and study periodic motions around the collinear equilibrium points. The locations of these points are first determined for 10 combinations of the parameters of the problem. In all 10 cases, the collinear equilibrium points are found to be unstable, as in the classical problem, and the Lyapunov periodic orbits around them have been computed accurately by applying known corrector-predictor algorithms. An extensive study on the families of three-dimensional periodic orbits emanating from these points has also been done. To find suitable starting points, for all the computed families, semianalytical solutions have been obtained, for both two- and three-dimensional cases, around the collinear equilibrium points using the Lindstedt-Poincaré method. Finally, the stability of all computed periodic orbits has been studied. © 2016. The American Astronomical Society. All rights reserved.
Oluwagbemi O.O.,Federal University, Lokoja |
Oluwagbemi F.E.,Salem University |
Fagbore O.,TechPRO Systems and Solutions Ltd
Journal of King Saud University - Computer and Information Sciences | Year: 2016
Malaria is one of the infectious diseases consistently inherent in many Sub-Sahara African countries. Among the issues of concern are the consequences of wrong diagnosis and dosage administration of anti-malarial drugs on sick patients; these have resulted into various degrees of complications ranging from severe headaches, stomach and body discomfort, blurred vision, dizziness, hallucinations, and in extreme cases, death. Many expert systems have been developed to support different infectious disease diagnoses, but not sure of any yet, that have been specifically designed as a voice-based application to diagnose and translate malaria patients' symptomatic data for pre-laboratory screening and correct prescription of proper dosage of the appropriate medication. We developed Malavefes, (a malaria voice-enabled computational fuzzy expert system for correct dosage prescription of anti-malarial drugs) using Visual Basic.NET., and Java programming languages. Data collation for this research was conducted by survey from existing literature and interview from public health experts. The database for this malaria drug informatics system was implemented using Microsoft Access. The Root Sum Square (RSS) was implemented as the inference engine of Malavefes to make inferences from rules, while Centre of Gravity (CoG) was implemented as the defuzzification engine. The drug recommendation module was voice-enabled. Additional anti-malaria drug expiration validation software was developed using Java programming language. We conducted a user-evaluation of the performance and user-experience of the Malavefes software. © 2017 The Authors.
Odigie I.O.,Ahmadu Bello University |
Gbaje E.S.,Federal University, Lokoja
E-Learning and Digital Media | Year: 2017
Online video streaming is a learning technology used in today’s world and reliant on the availability of bandwidth. This research study sought to understand the perceptions of network gatekeepers about bandwidth and online video streams in Ahmadu Bello University, Nigeria. To achieve this, the interpretive paradigm and the Network Gatekeeping Theory were used as the theoretical framework and also a case study approach was employed to investigate the phenomenon. The study used a purposive sampling technique and a semi-structured interview to seek out opinions from the respondents who were the network gatekeepers within the university. A thematic analytical approach was done with the use of NVivo software, which yielded one hundred and seven codes, ten sub-categories and four major categories. The findings from the study indicated that: (1) perceptions of network managers were one sided; (2) no acceptable user policy was on ground and available bandwidth was limited; and (3) limitation of bandwidth, hindered user access to online video and mechanisms for gatekeeping had a role to play in the overall access to online video. © 2017, © The Author(s) 2017.
Kolajo T.,Covenant University |
Kolajo T.,Federal University, Lokoja |
Daramola O.,Covenant University
2017 Conference on Information Communication Technology and Society, ICTAS 2017 - Proceedings | Year: 2017
Terrorism is a matter of great concern in many nations because of its impact on sustainable development, which is critical for developing countries. Efforts on the part of security agencies need to stay a step ahead of threats of terrorism to effectively prevent their occurrence. Many research efforts that sought to combat terrorism using big data have been reported in the literature. However, most of them have targeted data from only one type of social media per time. This paper proposes a model that harnesses data from multiple social media sources in order to detect terrorist activities by using Apache Spark technology for implementation. This paper describes the Social Media Analysis for Combating Terrorism (SMACT) model as a plausible approach that leverages Big Data analytics to address terrorism problems in developing nations. SMACT is further illustrated by a practical use case from the Nigerian context in order to depict its viability as a potential panacea for handling terrorism threats. © 2017 IEEE.
Ibrahim T.T.,Federal University, Lokoja |
Ibrahim T.T.,Stellenbosch University |
Wyngaardt S.M.,Stellenbosch University |
Kimene Kaya B.D.C.,Stellenbosch University
Nuclear Physics A | Year: 2017
We studied the ground state band properties of 212Po, 218Rn and 232U using the binary cluster model. The nuclei are treated as a 208Pb-core plus a cluster interacting via a local potential of Saxon–Woods type functional form whose parameters are derived from Michigan-3-Yukawa (M3Y) microscopic potential model. Further correction in the internal structure of the hybrid potential model is attributed to the nucleon distribution in the overlap region of the core-cluster system. Overall our calculated results are found to compare favourably well with available experimental data. © 2017 Elsevier B.V.
Jimoh O.A.,Universiti Sains Malaysia |
Jimoh O.A.,Federal University, Lokoja |
Ariffin K.S.,Universiti Sains Malaysia |
Hussin H.B.,Universiti Sains Malaysia |
Abdulkareem T.,Federal University, Lokoja
Journal of the Geological Society of India | Year: 2017
Metacarbonate deposit occurring in Emiworo area, northcentral Nigeria are low grade marble associated with Proterozoic basement complex rocks. Integrated inorganic geochemical, physical and thermal characteristics of the samples were investigated with the aim of revealing their economic viability. The phase characteristics of the metacarbonate show that dolomite is the dominant phase with calcite and phlogopite as minor phases, while silicates, graphites and pyrites constitute the accessories. Reactivity of the quicklime measured after calcination at different temperatures revealed that only the quicklime produced in 1 hour at 950°C and 1000°C was found to be reactive. Physical properties and comparative data show that the Emiworo marble displays lower water absorption and higher compressive strength, loss on ignition and bulk specific gravity, compared to other metacarbonate rocks occurring in other parts of Nigeria and elsewhere. These attributes makes the deposit suitable for many conventional industrial applications. © 2017, Geological Society of India.
Ekere N.,University of Nigeria |
Yakubu N.,University of Nigeria |
Yakubu N.,Federal University, Lokoja |
Ihedioha J.,University of Nigeria
Environmental Science and Pollution Research | Year: 2017
The concentrations of six heavy metals (HMs) and 16 US EPA priority polycyclic aromatic hydrocarbons (PAHs) in sediment samples of the confluence of rivers Niger and Benue were investigated. The ecological risk assessment of the contaminants was carried out. The results showed that the sediment samples were heavily polluted with iron and moderately polluted with Cd while other metals posed no pollution problem when compared with USEPA sediment quality guidelines. Only six out of the 16 priority PAHs were detected in the samples, and source apportionment of the PAHs indicated that they are of pyrogenic origin. The ∑PAHs in the samples were lower than many of similar studies and were of no pollution risk. The ecological risk assessment result of the heavy metals showed that the sediments were of considerable risk due majorly to Cd levels. The HM concentration results statistically showed significant difference between seasons at probability value (P < .05). Data analysis by PCA classified the metals into three different components according to sources. The levels of HMS and PAHs detected in the sediments were correlated for source identification, and the correlation showed that the majority of the pollutants were mainly from anthropogenic sources. There is increasing level of anthropogenic activities at the vicinity of the confluence due to urbanization which may call for periodic monitoring of the sediment quality. © 2017 Springer-Verlag GmbH Germany
Ekpenyong M.,University of Uyo |
Isabona J.,Federal University, Lokoja |
Isong E.,Akwa Ibom State University
Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015 | Year: 2015
A neural network (NN) approach is proposed in this paper to optimize the operation of cellular networks. First, we derive an analytical equation to establish the effect of essential handoff contributory factors. Data of these factors were then obtained from base stations of an operational network carrier, and trained on a backpropagation NN algorithm. Results obtained revealed that the network performance improved with big data and increase in number of neurons for SINR data, but, increasing the number of layers degraded the system performance. However, with relative signal strength data, improved performance was achieved for big data and increase in number of layers for normalized and un-normalized data. Finally, self organizing map was explored to visualize the existing system for the purpose of improving further, its performance. © 2015 IEEE.