"Annals. Computer Science Series" Journal
Romania, 300559 Timişoara, 6 Lascăr Catargiu str.
Phone: 004 0256 220 687 | Fax: 004 0256 220 690
E-mail: conference.fcia [@] tibiscus [.] ro | conference.fcia [@] gmail [.] com


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Ovidiu Crista
Updating:
Tiberiu Marius Karnyanszky
Editor-in-Chief

Annals. Computer Science Series
Tome 17, Fasc. 2


ISSN: 1583-7165 (printed journal)
ISSN: 2065-7471 (e-journal)
Owner: "Tibiscus" University of Timişoara, România
Editor: Mirton Publishing House of Timişoara, România
Distributor: "Tibiscus" University of Timişoara, România
Appearance: December, 2019


Next papers follows the review process for the Journal inclusion:

  • [ARR: 07.10.2017] Muhsin Hassanu Saleh, Mukhtar Bello - Online Hospital Management System
  • [ARR: 30.01.2019] Osuolale Peter Popoola, Abosede Titilope Popoola, Ayaniyi Wole Ayanrinde, Mattehew Taiwo Odusina - Investigating the Impact of some Financial Sectors on Nigeria Economy Growth
  • [ARR: 12.04.2019] Tunji S. Ibiyemi, Yakubu A. Ibrahim - Robust Feature-Based Recognition of Printed Comprehensive Hausa Characters
  • [ARR: 18.04.2019] Aládé S. M., Ninan O. D., Odéjobí O. A. - Issues in Knowledge Representation in Yorùbá Narratives
  • [ARR: 02.06.2019] Kolawole M.K, Olayowola M.O. - Simulation Of The Effect Of Disease Transmission Coefficient On The Susceptible-Exposed-Infected-Recovered (SEIR) Epidemic Model Using Variational Iteration Method
  • [ARR: 06.06.2019] Abidoye A. O., Adewara, A. A. - Testing for Equality of Means with Equal and Unequal Variances
  • [ARR: 10.07.2019] K.A. Muhammed, O. S. Obafemi, I. O. Ajao - Comparison of Forecasting Methods using Nigeria Consumer Price Index Data
  • [ARR: 22.07.2019] Muhammed Sulyman, Shamsuddeen Idris Yaradua, Aduralere Abimbola Julius - Assessment of Relationship of Gender, Age Groups and Type of Schools in HIV/AIDS Awareness Among Secondary School Students
  • [ARR: 24.07.2019] Sikiru Adetona Suleiman, Amos Adedayo Adewara - Efficient New Ratio Estimators of Population Mean using Product of Sample Size and Conventional Location Parameters
  • [ARR: 19.08.2019] Usman, U., Musa, Y., Muhammad, A.B. and Zakari, Y. - On the Burr X Topp Leone Distribution
  • [ARR: 04.09.2019] C. K. Asanya, D. Jibasen, Y. V. Mbaga - A modified Ideal Rank index Number Method
  • [ARR: 06.09.2019] Mohd. Nazri Ismail, Mohd Afizi Shukran, Mohammad Adib Khairuddin, Mohd Rizal Isa, Mohd Fahmi Amran - Bundle Online System UPNM
  • [ARR: 07.09.2019] T. Moses, H. C. Inyiama - Survey of Big Data Programming Frameworks
  • [ARR: 11.09.2019] Mohd. Nazri Ismail, Mohd Afizi Shukran, Mohammad Adib Khairuddin, Mohd Rizal Isa, Nor Shahriah, Mohd Fahmi Amran, Noor Afiza Mat Razali - Internet of Things (IoT) Technology Literature Review: Case Study of Smart Green House in IoT Environment
  • [ARR: 05.10.2019] Moses Timothy, Okpamen Osariemen Kelly - Understanding Students Attitude towards the use of Computer in Learning Scientific Concepts
  • [ARR: 14.10.2019] Akanmu, T. A., Oladeye, S. F., Atoyebi, J. O., Ojo, D. A. - Development of a Modified First Come First Serve (FCFS) Disk Scheduling Algorithm
  • [ARR: 21.10.2019] Adepoju Abosede Adedayo, Ebukuyo Oluremi Bolaji - Bayesian Estimation of Dynamic Error Component Model with Moving Average Disturbances
  • [ARR: 25.10.2019] Usman, M. A.; Adeboye O.A. - Mathematical Analysis of Euler-Bernoulli Beam with Damping Coefficient Subjected to Moving Load
  • [ARR: 29.10.2019] A. A. Sanusi, S. I. S. Doguwa, I. Audu, Y. M. Baraya - Introducing a New Family of Distributions Called Burr-X Exponential
  • [ARR: 29.10.2019] Peter I. Ogunyinka, Emmanuel F. Ologunleko, B. T. Efuwape, O. M. Olayiwola, Dawud A. Agunbiade - Efficiency of Data Transformation and Correction Factor Methods on the Correction of Extreme Value Effect in Sample Survey Theory
  • [ARR: 04.11.2019] Olusola Adebanwo Dehinsilu, Olutunde Samuel Odetunde, Oludapo Omotola Olubanwo - Analytical Solution of One-Dimensional Burgers’ Equation with the Help of Mahgoub Transform Method
  • [ARR: 06.11.2019] Saheed Akanni - Var Model Analysis of the Effect of Land Size on Cereal Production
  • [ARR: 11.11.2019] Efuwape B.T, Abdullah K-K. A, Hammed F. A, Obadina O.G., Awosanya A. - Estimating Autoregressive Model using Goal Programming
  • [ARR: 14.11.2019] Olayiwola O. M., Apantaku F. S., Wale-Orojo O.A., Ajayi A. A., Konku A. M. - Probability Proportional to Size (pps) Method to Enhance Efficiency of Estimator in Two Stage Sampling
  • [ARR: 14.11.2019] Oladotun Olusola Okediran - A Hybrid Cryptosystem and Watermarking for Secure Medical Image Transmission
  • [ARR: 18.11.2019] Olayiwola O. M., Akintunde A. A., Wale-Orojo A. O., Ajibade F. B., Adekpe D. O. - Jackknife Approaches for Improving Data Quality
  • [ARR: 18.11.2019] Olayiwola O. M., Ajayi A. O., Akintunde A. A, Wale-Orojo O. A., Ajibade F. B., Ojelabi O. - Estimationof the Population Mean in the Presence of Measurement and Response Error
  • [ARR: 20.11.2019] Olasupo Ahmed O, A. I. Taiwo, Peter I. Ogunyinka, B. T. Efuwape, Abdullah K.-K. A. - A Partial Least Squares Regression Equation of Responses and Correlated Predictors
  • [ARR: 21.11.2019] L. O. Mustapha, A. A. Oni, I. W. Fawole, A. O. Zakari, G. A. Lamidi - Performance of Some Parametric Models for Global Solar Radiation Estimation in Nigeria
  • [ARR: 22.11.2019] Osaremwinda Omorogiuwa, Stella Chinyere Chiemeke, Juliana Ndunagu - Design and Implementation of a Nomadic Mobile App to Aid Multi-Level Authentication in a Ubiquitous Work Environment
  • [ARR: 24.11.2019] Adil Mousa, Tarig M. Elzaki - Triple Laplace Variational Iteration Method for Solving Nonlinear Partial Differential Equations
  • [ARR: 30.11.2019] K. O. Kareem, M. O. Olayiwola - Some Results on Fourth-Order Integro-Differential Equations
  • [ARR: 06.12.2019] K. O. Adetunji, T. Alanamu, E. J. Adefila - Applications of Two Non-Central Hypergeometric Distributions of Biased Sampling Statistical Models

    Next papers follows the Journal publication process:

  • [ACK: 22.09.2019] Umar Abdulkadir, Ismaila Idris, John Kolo Alhassan, Victor O. Waziri, Abraham Ayegba Alfa - A Comparison of Computer Applications Vulnerability Assessment Approaches
  • [ACK: 24.11.2019] Kazeem A. Osuolale - Modelling of Borehole Computer Experiments Through a Modified Borehole Model

    » A Proposed Method of Identifying Significant Effects in Unreplicated Factorial Experiments

    » Ibraheem B. A., Adeleke B. L. and Oyeyemi G. M.

    ABSTRACT:

    In many areas of research/ production, a lot of factors are combined to obtain a desired product. To be able to analyze which factors (or combinations of factors and at what level) are significant, the experiment has to be replicated. For economic or practical reasons, it may not be feasible to perform the experiment more than once therefore unreplicated factorial designs are often employed. This is especially true in the field of Medicine, Pharmacy and Industrial production units. The traditional method of analysis of variance (ANOVA) cannot be employed in unreplicated factorial designs, therefore many methods have been proposed in literature. In this paper, a new method of analyzing unreplicated factorial designs is proposed and was compared with some of the existing methods. The four existing methods considered were: Lenth, Berk and Picard, Juan and Pena, and Dong. The comparison was performed using Monte Carlo simulation method. The criteria used in evaluating the performances of the methods are Power and Individual Error Rate (IER). Using these criteria of evaluation, the results showed that on overall performance, Dong method is the best among the four existing methods considered and was closely followed by Berk and Picard, Lenth, then Juan and Pena methods in that order. It was also found that not only is the proposed method simpler to compute, it competed favourably with Dong and even performed better than all the others when IER is used for assessment.

    KEYWORDS:

    Experiment, Factorial, Replication, Significant effects, Power, Individual Error Rate (IER).

    » Received: 18 January 2019
    » Accepted: 5 July 2019

    9 - 17

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    » Performance Enhancement of Huffman Coding Image Compression with Chinese Remainder Theorem

    » Mohammed Babatunde Ibrahim and Kazeem Alagbe Gbolagade

    ABSTRACT:

    Data compression is the process of reducing the size of data. Due to the improvement of Information Technology, there are more data that are being generated nowadays that are transferred from one source to another. This data required higher size and bandwidth to be transferred between two parties. Hence, how to reduce the size of data before transferring from one medium to another has been an important issue. This paper proposed an enhanced method to compress image data file. In this paper, we integrate Chinese Remainder Theorem (CRT) into the Huffman compression algorithm to enhance the speed of compression as against the Traditional Huffman Compression (THC). The experimental analysis was performed in matrix laboratory environment (2015). The experimental results revealed that there is significant reduction in size of image, compression time minimization and data quality retention of original image. The shortcomings of THC are blocky appearance and poor quality reconstructed image after decompressing operation is overcome in our enhanced method with CRT.

    KEYWORDS:

    Huffman Algorithm, Chinese Remainder Theorem (CRT), compression, Image File.

    » Received: 16 May 2019
    » Accepted: 7 July 2019

    18 - 23

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    » Metacognition in REACT Teaching Strategy

    » Nguyen Thi Huong Lan

    ABSTRACT:

    Math education in the 21st century is facing new real-world problems, nurturing creative thinking skills and effective ways of learning. In an effort to innovate teaching and learning methods to prepare for a new generation for the demands of the new era, many educators have discovered the value of metacognition. The article explores metacognition in the REACT teaching strategy (Relating, Experiencing, Applying, Cooperating, and Transferring) in order to help students solve practical problems based on context, from which, to acquire knowledge.

    KEYWORDS:

    Teaching strategy, metacognition, REACT Strategy.

    » Received: 2 April 2019
    » Accepted: 5 July 2019

    24 - 29

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    » Transport Location Inference Drawing using Global Positioning System

    » K.Sreekala and K. Sai Jeevan Reddy

    ABSTRACT:

    The Main Objective of Transport Location Inference Drawing Using Global Positioning System is to help the passengers to track the location of their respective vehicle. Nowadays, it became difficult for passengers to know the exact location of the vehicle for which they are waiting. This application helps the passenger in tracking the vehicle and reach to the boarding point on time. Passengers can greatly use this application since Android mobiles have become common and affordable to all. This will also enhance security since the movement of the vehicles is always available. It is a real-time system as the current location of the bus is updated every moment in the form of latitude and longitude which is received by the passengers through their application on Google maps.

    KEYWORDS:

    Transport, GPS, User, Administrator, Driver/Rider, Location, Tracking and Android.

    » Received: 16 May 2019
    » Accepted: 7 July 2019

    30 - 35

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    » On Some Permutation Statistics of the Aunu Pattern ωi ∈ Gp

    » Garba A. I., Mustafa A. and Suleiman I.

    ABSTRACT:

    This paper examine certain behavior of some permutation statistics on the pattern ωi defined as: ωi=(1 (1+i)modp (1+2i)modp (1+3i)modp ...(1+((p−1)i)modp) for i=1,2,...,p-1. We investigate the permutation statistics that are equidistributed on ωi ∈ Gp. This to a larger extent helped in identifying ωi as an Eulerian distribution. The graph permutation of ωi and the graph of 132-avoiding pattern of ωi were also studied.

    KEYWORDS:

    Permutation Pattern, Permutation Statistics and Graph.

    » Received: 28 February 2019
    » Accepted: 15 April 2019

    36 - 38

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    » Development of a mobile application for swazi entertainment events

    » Mashwama Petros, Fashoto Stephen G. and Mabuza Lindelwa

    ABSTRACT:

    The use of mobile technology within the entertainment industry is growing at a fast rate worldwide. In Swaziland, the lack of real time informative platforms has led to several property damages due to an angry audience that did not get all the information or updates about an event on time. This paper presents a system that connects event organizers, artists, and fans. It has been noted that most event mobile applications tend to focus on either uploading information on events updates or information on artists. This system integrates these two ideas into one package in the sense that users have event updates and also get updates on a specific artist all in the same system. Most of the existing applications do not have a platform where users get to comment about a past event that was uploaded in a system.

    KEYWORDS:

    Mobile apps, event organizers, artists, fans and entertainment.

    » Received: 31 May 2019
    » Accepted: 12 July 2019

    39 - 49

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    » Spotting Skin Disorder using Template Matching

    » K. Sreekala and K. Sree Mounika

    ABSTRACT:

    There are a number of skin diseases like Acne, Eczema, Hives, impetigo, Melanoma, Moles etc. Acne is a disease that affects the skin's oil glands. The small holes in the skin (pores) connect to oil glands under the skin. These glands make a substance called sebum. Eczema, also known as atopic dermatitis, is a long-term skin disease. The most common symptoms are dry and itchy skin, rashes on the face. Hives causes red and sometimes itchy bumps on the skin. Likewise, different skin diseases have different symptoms. Sometimes, it is difficult for the dermatologist to diagnose the skin disease by looking at the disease. This paper aims at spotting the skin disorder by using the template matching algorithm.

    KEYWORDS:

    Skin disorder, disease, itchy, dry, analysis, diagnose, image processing and disease type.

    » Received: 22 May 2019
    » Accepted: 12 July 2019

    50 - 54

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    » Comparative Analysis of Some Selected Metaheuristic Algorithms for Solving Intelligent Path Planning Problem of Mobile Agents

    » Olabode A. O., Abdulkareem B. Q. and Ajao T. A.

    ABSTRACT:

    Mobile Agents (MA) are objects that migrate through the nodes of heterogenous networks to perform intelligent path finding tasks. Prioritizing the metaheuristics algorithms (PSO, ACO, GA and SA) with the best performance in terms of cost value and computational time efficiency for mobile agents path planning has been a major challenge. The performance of these selected meteheuristic algorithms was evaluated. Prototypes of mobile agents were introduced into two dimensional (2-D) workspace of adhoc network consisting of 16 nodes. The PSO, ACO, GA and SA were introduced into the mobile workspace for path planning and encoding. The corresponding path plans from PSO, ACO, GA and SA were later used for finding path and implemented in MATLAB environment. The performance of the metaheuristic techniques was evaluated using Computational Time (CT), Cost Value (CV), Program Effort (PE) and Program Size (PS).

    KEYWORDS:

    Metaheuristic Algorithms, Mobile Agents, Path Planning, Halstead Complexity Metrics.

    » Received: 16 April 2019
    » Accepted: 7 July 2019

    55 - 59

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    » Effect of Computation Time, Memory usage and Number of Nodes visited on the Performance of Some Selected Heuristic Algorithms

    » Olabode A. O. and Fenwa O. D.

    ABSTRACT:

    The efficiency with which searching is carried out often has significant impact on the overall efficiency of a program. Some of the factors affecting the performance of informed tree based or heuristic search algorithms include high exponential execution time to search, drastic memory or storage usage and number of nodes visited. However, prioritizing each of these factors based on their influence has been a major challenge. Therefore, this research prioritized computational time, memory usage and number of nodes visited based on their influence using factor analysis by principal component.

    KEYWORDS:

    Heuristic algorithms, Factor analysis, Principal component, computational time, memory usage and number of nodes visited.

    » Received: 24 April 2019
    » Accepted: 7 July 2019

    60 - 63

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    » Split-Plot Analysis to Investigate Different Rates of NPK Fertilizers application and Genotype on the Yield of Cassava

    » Osuolale Peter Popoola, Matthew T. Odusina, Ayaniyi A. Ayanrinde and Abosede T. Popoola

    ABSTRACT:

    Cassava (Manihot esculenta Crantz) like any other crops required high soil nutrients content for quality and quantity yield. When the crop is grown on the land for a number of years in succession or in rotation, the stored nutrients in the soil will be reduced and must therefore be replenished by means of fertilization. This depletion of nutrients is aggravated when a high-yielding cassava variety is planted. Hence, this study investigates to know if NPK fertilizers and genotype have effect on the yield of Cassava, examines at what proportion the trio of Nitrogen, Phosphorus and Potassium are to be applied and which genotype is the best and what would be the optimum yield when NPK is applied correctly to the best genotype. A Split – plot design was adopted in the data analysis. Further test was carried out using LSD, Tukey, Scheffe and Bonferroni to detect which of the levels of NPK fertilizer and Genotype have significance effect on the yield. Multiple regression model was obtained to investigate at what proportion the trio of Nitrogen, Phosphorus and Potassium are to be applied, Response surface methodology was carried out to obtain the optimum yield of Cassava. The result of the Analysis of Variance (ANOVA) carried out showed that NPK Fertilizer and Genotype contribute significantly to the yield of Cassava. A further analysis on the Mean Separation of the Fertilizers at various levels of application and different Genotype shows that fertilizer when applied at N0P50K150 are more significant than any other levels, Genotype B is the best and the best variety is C. Thus, the multiple regression model for Cassava was obtain as Yield=131.5805+4.6462B–4.6462G+4.5803F–0.2127B*G– 0.0179 B*F+0.1140*G*F. Hence, the fixed regression model showed that optimum yield of 181.902 tone / hectare is achievable if NPK fertilizers are applied appropriately at the recommended rate.

    KEYWORDS:

    Split-plot Designs, Multiple Regression, Surface Response Methodology, Cassava Genotype and Cassava Varieties.

    » Received: 30 April 2019
    » Accepted: 7 July 2019

    64 - 73

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    » Modification of Ratio Estimator for Population Mean

    » J.O. Muili and A. Audu

    ABSTRACT:

    In this study a ratio type estimator of finite population mean has been proposed under simple random sampling without replacement. The properties of the proposed estimator (Bias and Mean Square Error) have been obtained up to first order of approximation using Taylor’s Series Expansion and the condition for its efficiency over some existing estimators have been established. The minimum value of the mean square error of the proposed estimator has also been derived. The efficiency of proposed estimator based on optimal value of the constant, exhibit significant improvement over the existing estimators considered in the study. Empirical studies were conducted with natural populations to demonstrate the performance of the proposed estimator comparing with some existing estimators. The results of the empirical study show that the proposed estimator performs better than the existing estimators.

    KEYWORDS:

    Auxiliary Variable, Efficiency, Mean Square Error.

    » Received: 14 April 2019
    » Accepted: 7 July 2019

    74 - 78

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    » Assessment of the Views of Senior School Students on HIV/AIDS in a State in North Central, Nigeria

    » Olufunke Olayinka Kayode, Roseline Oluwaseun Ogundokun, Adekunle Solomon Olorundare, Emmanuel Abidemi Adeniyi and Opeyemi Eyitayo Ogundokun

    ABSTRACT:

    Assessment of the view of senior school students on HIV/AIDS was carried out in Offa Local Government Area of Kwara State, Nigeria with the aim of investigating the general views of senior school students on HIV/AIDS. Random sampling technique was employed to select 10 schools comprising both public and private schools while purposive method was used to sample 300 biology students across the selected schools. Sharing of blade, needle or any sharp object with another person had higher risk of contracting HIV account for 89.3% of the respondents, followed by casual sex intercourse with an infected person and prostitutes. It is therefore recommended that HIV/AIDS and sex education should be incorporated into the Biology curriculum of senior secondary school students in Nigeria. Also, more emphasis should be made on abstaining from early sexual activities and parents should be encouraged to talk about sex values to their children.

    KEYWORDS:

    Private and Public Schools, Student, Biology Subject, Sex Education, Assessment.

    » Received: 25 April 2019
    » Accepted: 7 July 2019

    79 - 84

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    » A Ear and Tongue Based Multimodal Access Control System

    » Adebayo Y. Olajide, Adigun A. Adepeju and Isola E. Oluwaseun

    ABSTRACT:

    Multimodal biometrics has attracted lot of attention in recent days as it provides more reliable scheme for person verification. Multimodal biometrics includes the fusion of information from different biometric modalities. This research work presents a novel method for access control system using ear and tongue images. PCA was employed for feature extraction of ear and tongue images and SOFM was used for training and testing of the system. The proposed method is evaluated using 5000 ear images and tongue images. The images were collected using a digital camera and were fused at the feature extraction level. The fusion results of ear and tongue images showed an improved performance and a huge step closer for user access control.

    KEYWORDS:

    Multimodal, PCA, SOFM, Fusion, Digital Camera.

    » Received: 25 April 2019
    » Accepted: 7 July 2019

    85 - 92

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    » Modeling Tuberculosis Transmission in South-West Nigeria

    » Adesupo A. Akinrefon and Olusola A. Adejumo

    ABSTRACT:

    Tuberculosis has persisted over the years as a significant contributor to mortality and morbidity counts globally and in particular, Nigeria. This study formulated a continuous-time Markov process model for TB dynamics with the introduction of vaccination impact in the susceptible and exposed classes. Using the Gillespie’s algorithm, we obtained stochastic realizations of the disease behavior using the Kolmogorov equations. Sensitivity analysis on impact of key parameters showed that intervention effort at 50% - 85% effectively reduced TB incidence despite reinfection of recovered individuals.

    KEYWORDS:

    Continuous-Time Markov Chain, exogenous re-infection, Kolmogorov forward equations, Stochastic Simulation, Tuberculosis, Vaccination.

    » Received: 29 May 2019
    » Accepted: 1 August 2019

    93 - 98

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    » Investigation of Family Planning as a Function of Women Lifespan using a Multiple Regression Approach

    » Marufat B. Oyedeji

    ABSTRACT:

    The focus of this study was to examine the effect of family planning based on the methods of contraceptives on women life span (female life expectancy), using the secondary data collected from the University College Hospital (UCH), Ibadan, Lagos Bureau of Statistics (LBS) and World Bank Statistical database. Analytically, regression model was employed in this study. The data, being a time series data was tested for stationarity using the augmented Dickey- Fuller test and the test indicates that the data were stationary. The results obtained indicate that the method of contraceptives and age are statistically significant for predicting women life span. The coefficient of determination in the regression output also revealed that 93.37% (0.9337) of the total variation in life expectancy was accounted for by the use of contraceptive (injectable, Oral, pills and IUCD) and age with other variables in the expectancy. This study concludes that that the independent variables explain the dependent variable substantially and recommends the need to provide aggressively family planning education, so that people can understand the use, cope with it, take control and develop survival skills. The analyses were done in Minitab and E-views statistical packages to estimate the parameters of the model.

    KEYWORDS:

    Family planning, Investigation, Regression approach, Women lifespan.

    » Received: 28 May 2019
    » Accepted: 9 August 2019

    99 - 103

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    » A Neural Network Approach in Performing Non-Invasive Analysis of Muscle Impulses for Hand Gesture Recognition

    » Akinrotimi, Akinyemi Omololu and Mabayoje, Modinat Abolore

    ABSTRACT:

    Surface Electromyography (sEMG) signals have been found to be useful in developing methods of recognizing hand gestures using digital signal processing devices or ensemble approaches. In building hand gesture recognition models, it is essential to avoid or reduce computational complications which may result in complex circuit connections while implementing the model. As such, simple but efficient approaches in achieving the desired results are required. A explicable model for hand gesture recognition, using Flexible Neural Trees (FNTs) and sEMG signals is presented in this paper. sEMG is an approach of detecting and documenting the electrical impulses of the muscles, from the surface of the skin. The feed forward Neural Network approach is first used in generating the FNT model before improving it, using predefined simple instruction sets. The FNT model helped to avoid complex computations while building the model and provided a high recognition rate. The experimental outcomes obtained from the developed model shows that the model is capable of classifying six different hand gestures at an accuracy of 92.46%.

    KEYWORDS:

    Flexible Neural Trees (FNTs); Surface Electromyography (sEMG); Artificial Neural Networks (ANN); Probabilistic Incremental Program Evolution (PIPE); Pattern Recognition.

    » Received: 11 April 2019
    » Accepted: 23 July 2019

    104 - 108

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    » Estimation of Optimal Atmospheric Condition For WE-FM Radio Station, Abuja

    » J. O. Hamed, G. I. Agbaje, O. R. Oladosu, A. Labija and B. A. Olaniyi

    ABSTRACT:

    This study evaluated the effect of atmospheric condition on radio network. Response Surface Methodology was used to develop a signal model in terms of atmospheric condition, analyse and optimize the effect of atmospheric temperature, pressure and relative humidity on signal of a WE-FM radio station based in Abuja. The result shows that atmospheric parameters such as temperature, pressure and relative humidity have inverse relationship with radio signal. The analysis of variance for the model formulated reveals that the atmospheric parameters have significant effect on signal strength. Also, the R – Squared value obtained implies that atmospheric condition have variability of 98.30% on the signal strength. The optimum signal strength of 54.0851 dBuV was obtained with the atmospheric condition of temperature 26.800C, pressure, 24.43inHg, and relative humidity of 78%. The model predicts signal strength with the accuracy of 84.71%. Hence, the approach is efficient for minimizing signal strength degradation in radio network.

    KEYWORDS:

    Signal strength, Atmospheric condition, WE-FM Station, Frequency, Communication network.

    » Received: 31 July 2019
    » Accepted: 22 August 2019

    109 - 120

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    » Improved Modified Ratio Estimator for Estimating Population Mean in Double Sampling Using Information on Auxiliary Attribute

    » F. E. Amoyedo and A. A. Adewara

    ABSTRACT:

    This paper proposes a modified family of ratio estimator of population mean using information on auxiliary attribute and the estimation of population mean in double sampling in ratio form. The proposed modified ratio estimator is a family of estimator which results to different estimators at different value of alpha. For the proposed estimator, when α = 0,0.5 and 1, the estimators of Naik, Gupta, Nirmala Sawan and Sample mean were recovered respectively. When the auxiliary attribute is a variable, the estimator result to that of Subhash et al. When α=0 and the auxiliary attribute is a variable, it results to conventional double sampling. The expression for the Bias, and Mean Square Error of the proposed modified estimator were obtained up to the first order of approximation. An efficiency comparison of both the theoretical and empirical were carried out with some related existing estimators in double sampling. It has been established that the proposed modified ratio estimator is more efficient when compared with the existing ones at optimum value of alpha.

    KEYWORDS:

    Ratio estimator, bias, mean square error and double sampling.

    » Received: 21 June 2019
    » Accepted: 25 July 2019

    121 - 128

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    » Develop Self-Studying Ability of High School Students through Learning Projects - A Case Study in Vietnam

    » Nguyen Van Quyen

    ABSTRACT:

    In addition to traditional teaching methods, project-based teaching method has been introduced to catch up with the modern trend in education in the world towards improving students' self-learning capacity. By understanding the principles of project-based teaching teachers will have more opportunities to promote the self-learning of students, thereby making teaching activities more plentiful and practical. Therefore, in this research I aim to enhance the capacity of Mathematics self-studying of high school students through learning projects. This research was done through studying documents related to capacity and Mathematics self-study ability. In addition, in order to evaluate the results of mathematics self-study capacity of high school students in Vietnam I and the teachers involved in the project designed the assessment tool set including self-studying ladder levels, and a self-assessment note. Fourteen 10-grade students were randomly selected to participate in the project. Research results: The learning project has improved the efficiency, confidence and interest of students in solving practical problems, nurturing creative talents. Students increase their self-study ability. In addition, this study is the basis for teachers, educational researchers and curriculum developers to implement a constructive approach in enabling students to understand the relationship between theory and practice, then improving students' self-studying ability.

    KEYWORDS:

    Project -based teaching, self-studying ability, solving practical problems.

    » Received: 16 August 2019
    » Accepted: 8 September 2019

    129 - 139

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    » Efficiency of some Modified Ratio Type Estimators using Product of Sample Size and Parameters of Auxiliary Variable for Estimating Population Mean

    » S. A. Suleiman and A. A. Adewara

    ABSTRACT:

    In this paper, we modified twenty-eight ratio type estimators for estimation of population mean of the study variable earlier suggested by Gupta and Yadav (2017) using product of sample size and population parameter of auxiliary variable. The expressions for the bias and mean square errors of the newly modified ratio type estimators have been obtained up to the first order of approximation. A comparison has been made with the mentioned existing ratio estimators of population mean using the same data set used by Gupta and Yadav for easy justification. The results obtained on the Mean Square Errors shows that the newly modified ratio type estimators perform better vis-à-vis the earlier suggested Gupta and Yadav existing ratio type estimators but the newly modified ratio type Estimator, t*27, perform better, hence, recommended for usage in Sampling.

    KEYWORDS:

    Ratio Estimator, Auxiliary information, Sample size, Bias, Mean Squared Error, Efficiency.

    » Received: 12 June 2019
    » Accepted: 23 July 2019

    140 - 147

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    » Exponential Smoothing Methods in Forecasting Nigeria Consumer Price Index

    » K. A. Muhammed, F. A. Bolariwa and I. O. Ajao

    ABSTRACT:

    The consumer price index (CPI) measure the average change over a time in price of goods and services consumed by people, this study is focus to determine the best smoothing technique, to remove the irregularity in the series and to use the smoothed data to fit the model for future prediction. The data used for this study are monthly data, extracted from the record of CBN via www.cbn .gov.ng. The data spanned from January 1995 to December 2017. The behavioral pattern of the associated time plot exhibits the existence of trend and non-seasonality in the data. In view of this, non-seasonal Exponential Smoothing Techniques were adopted and the Holt’s Smoothing Exponential Technique was proved to be the best techniques to use for this study because, the accuracy measure i.e. MAPE (2.457), MAE (0.9352), MSE (4.5512), are relatively smallest compare with others used smoothing techniques, using the smoothing constant α( 0.933) and β(0.07) The future value of Nigeria CPI for year 2018 was predicted using fitted equation. In view of this study, it was discovered that Nigeria CPI will be gradually increasing over times.

    KEYWORDS:

    Consumer Price Index, Smoothing Technique, Accuracy Measurement.

    » Received: 9 April 2019
    » Accepted: 14 June 2019

    148 - 154

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    » Multiple Classifiers: An Approach in Iris Recognition System

    » Oyeniran, Oluwashina A.; Adegoke, Benjamin O. and Oyeniyi, Joshua O.

    ABSTRACT:

    Iris recognition is considered as one of the best biometric methods used for human identification and verification; this is because of its unique features that differ from one person to another, and its importance in security. This study proposes a multi-algorithmic feature extraction technique for personal recognition using iris. The proposed framework was implemented on Matlab R2018a. The localization and segmentation techniques are presented using Hough Circular Transform in order to isolate an iris from the whole eye image and for noise detection. The normalization procedure was carried out using Daugman Rubber Sheet Model, while the feature extraction was done using Continuous Wavelet Transform. At the classification stage, Hamming Distance, Nearest Neighbour and Euclidean Distance Classifier was adopted. The system was trained with five hundred iris images while another unregistered one hundred iris image were used for verification of the system. The propose method have the accuracy of 70%, False Acceptance Rate (FAR) of 0.00% and False Rejection Rate of 0.03% with total execution time of approximately 7.00 sec. The present work can be extended by testing more samples of iris images. Since the images in the CASIA database are mainly eyes of Chinese people, the testing could be done among other ethnic groups. It is also recommended that other feature extraction techniques which are capable of handling resolution problem could be used in conjunction with Continuous Wavelet Transform to eradicate resolution problem and to increase the accuracy.

    KEYWORDS:

    Biometrics, Iris, Feature Extraction, Continuous Wavelet Transform, Classifier.

    » Received: 20 April 2018
    » Accepted: 22 September 2019

    155 - 159

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    » A Nature Inspired Meta-Heuristic Optimization Algorithm for a Packet-Switched Network Routing

    » Hakeem Babalola Akande, Adegoke Ojeniyi, Oladiran Martin Agboola and Taofeeq Doyinsola Yusuf

    ABSTRACT:

    The increase in growth of communication networks such as internet or intranet over large computer network requires a solution of network routing problem to be addressed in a packet-switched network. In the recent years, researchers have introduced several approaches to solve routing problem in other to maintain continuous network transmission without any loss of packets. Until now a number of studies revealed that the most routing devices get distorted when new nodes are added, shortest path and new direction need to be determined when connections go down in between the network nodes, congestion control and delay factor must be put in mind when finding solution to the problem so as to ensure effective network transmission. This paper applied a natured inspired optimization algorithm called Ant colony optimization (ACO) algorithm to reduce some of the problems encounter during routing process.The experimental results showed the robustness of the enhanced routing system when compared with the existing techniques of routing in a packet-switch network.

    KEYWORDS:

    Ant Colony Optimizatio, Meta-heuristic Algorithm, Routing, Packet Switched Network.

    » Received: 25 August 2019
    » Accepted: 22 September 2019

    160 - 168

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    » Discovering Theorems about the Gaussian Mersenne Sequence with the Maple´s Help

    » Francisco Regis Vieira Alves and Paula Maria Machado Cruz Catarino

    ABSTRACT:

    In Brazil, we are interested in the study of second-order recurrent numerical sequences. Such mathematical content has an enormous potential to provide a differentiated mathematical culture for the math teachers in initial training. However, it becomes important that the teacher in Brazil knows properties beyond the traditional and classic numerical sequences, such as the Fibonacci sequence, Lucas sequence, Pell sequence, Jacobsthal sequence, Narayana sequence, etc. Thus, in the present work, we present a proposal of CAS Maple as technological resources in the study and discovery of new theorems derived from the Mersenne sequence. Throughout the work, we show that the software allows the discovery of theorems from matrix properties derived from the Mersenne sequences and the sequence of Gaussian numbers of Mersenne. The research presented in the paper can stimulate the formation of Mathematics teachers in Brazil.

    KEYWORDS:

    Mersenne sequence, Gaussian sequence of Mersenne, Theorems, Teacher training, Technology.

    » Received: 18 June 2019
    » Accepted: 23 July 2019

    169 - 177

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    » Performance Evaluation of Genetic Algorithm and Counter Propagation Neural Network for Anomaly Detection in Online Transaction

    » Olabode, Anthony Onaolapo

    ABSTRACT:

    In e-commerce, credit card fraud is an evolving challenge. The increase in the number of credit card transactions provides more opportunity for fraudsters to steal credit card numbers and execute fraud. Fraud detection is a continuously evolving discipline to tackle ever changing tactics to commit fraud. Existing techniques of genetic algorithm (GA) and counter propagation neural network (CPNN) have been applied to take credit card fraud detection using different dataset and features. This paper evaluates the performance of GA and CPNN using the same dataset and features. The results show that CPNN outperform GA in terms of accuracy, sensitivity, miss rate, hit rate and prediction time.

    KEYWORDS:

    .

    » Received: 12 August 2019
    » Accepted: 22 September 2019

    178 - 183

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    » Laplace Homotopy Perturbation Method of Solving Nonlinear Partial Differential Equations

    » Oludapo Omotola Olubanwo, Olutunde Samuel Odetunde

    ABSTRACT:

    In this paper, the Laplace Homotopy Perturbation Method (LHPM) was utilized to solve some nonlinear partial differential equations. This technique is the mixture of the Laplace transform method and the homotopy perturbation method. Some nonlinear partial differential problems of first and second order were considered which the provide results in terms of transformed variables and the series solution was obtained by applying the inverse properties of the Laplace transform. In this paper, we compared the result obtained with the available Homotopy perturbation and Elzaki transform method solution which was found to be exactly same. The results revealed that the mixture of Laplace transform and Homotopy perturbation method was quite applicable, practically well appropriate for use in such problems.

    KEYWORDS:

    Laplace transform, Homotopy, Homotopy Perturbation method, nonlinear, partial differential equations.

    » Received: 5 March 2019
    » Accepted: 6 October 2019

    184 - 189

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    » Automatic Speech Recognition using MFCC in Feature Extraction based HMM for Human Computer Interaction in Hausa

    » Yakubu A. Ibrahim, Silas A. Faki and Taofeek-Ibrahim Fatimoh Abidemi

    ABSTRACT:

    Efficient speech interface to computer has been drawing the attention of researchers globally because it is more convenient than the traditional methods. The challenge of Speech human computer interaction is a difficult task because human language is complex in nature. Although automatic speech recognition is not a new affair in existing developments of HCI but the showcased facts only provide expected solutions for the two accepted international languages such as English and French . However, very little effort has been made by the scholars in domain of speech processing for African languages like Hausa, thus, the need to extend Hausa speech recognition system in order to include diverse applications based on speech recognition. Hausa as a language is an important indigenous lingua franca in west and central Africa. The speech recognition is a needed model for many applications such as HCI which are very helpful for handicap and aged individuals to live the comfortable life. The study shows MFCC technique for good speech feature extraction in a Hidden Markov Model based recognition approach with 97% recognition accuracy.

    KEYWORDS:

    ASR, HCI, HMM, MFCC, Hausa.

    » Received: 12 April 2019
    » Accepted: 26 July 2019

    190 - 198

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    » An Automatic Hostel Space Allocation System in a Private University, North Central Nigeria

    » Adekanmi Adekanmi Adegun, Roseline Oluwaseun Ogundokun and Grace Majekodunmi

    ABSTRACT:

    Recently, there is a rapid growth in the number of students being admitted to various higher institutions across West African countries yearly. This has posed numerous accommodation problems to the stakeholders like school management and students. Some of the problems include the inability to manage student information accurately. This is as a result of the poor information management system that uses manual registers, cumbersome manual allocation system and so on which has resulted in the inability to give accurate information about the occupancy of rooms. This research study addresses problems encountered in the allocation of hostels (space) to students manually in universities. This work proposes and designs a system that is capable of managing a database which will automatically allocate space (Hall and Room) to students. The proposed system will automatically allocate Halls, rooms, and roommates by taking certain criteria into consideration and also keeps proper records of all the vacant lodges and its inhabitants. This automatic allocation method was developed using tools such as HTML, JScript, CSS, PHP, and MySQL. The system has been implemented and evaluated using a Nigeria private institution as a case study.

    KEYWORDS:

    Allocation Space, Institution, Hostel Management, Student.

    » Received: 20 August 2019
    » Accepted: 22 September 2019

    199 - 205

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    » On the Burr X Topp Leone Distribution

    » Usman, U., Musa, Y., Muhammad, A.B. and Zakari, Y.

    ABSTRACT:

    In this study, we construct a continuous probability distribution as an improvement of Topp-Leone distribution. However, density function and the cumulative function of the constructed distribution (Burr X-Topp Leone distribution) were obtained. Also, we show the validity of the new distribution.

    KEYWORDS:

    Burr X G family, Topp-Leone distribution, Probability density function, cumulative density function.

    » Received: 19 August 2019
    » Accepted: 15 October 2019

    206 - 208

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    » An E-Agriculture Framework for Inclusive Agricultural Value Chains in Nigeria

    » Oladotun Olusola Okediran

    ABSTRACT:

    Agriculture is an information intensive sector. Therefore, there is a continuous need for farmers to have access to the right information, at the right time, in the right format and through the right medium, which in turn can improve inclusive development of the agricultural value chains. In Nigeria and sub-Saharan Africa in general, one of the major attendant problems facing farmers is poor access to information on markets, market prices and logistics to enhance productivity and profits. However, providing these information can be challenging, because of the highly localized nature of agriculture, it means that information must be tailored specifically to distinct conditions. These contextual information needs can be fulfilled by the effective use of Information and communication technologies (ICTs) in agriculture often referred to as e-Agriculture. The delivery of agricultural information and knowledge services using modern information and communication tools and technologies for agricultural marketing, products pricing, logistics, trade and financial inclusion that increase agricultural productivity, efficiency and sustainability falls under the definition of e-Agriculture. This paper presents an e-Agriculture framework that offers support services to smallholder farmers by providing a platform for accessing information on markets, market prices, logistics and financial services with the intent to enhance inclusive development of the agricultural value chain of the country.

    KEYWORDS:

    e-Agriculture, Information and Communications Technology, Framework, Agricultural Value Chain, mobile phone..

    » Received: 22 May 2019
    » Accepted: 12 July 2019

    209 - 219

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    » Measurement Model of Water Pollution: A Study Case on Eleyele Reservoir in Oyo State, Nigeria

    » Marufat B. Oyedeji

    ABSTRACT:

    The assessment of water pollution in the natural environment is feasible by means of statistical modelling. However, the reliability of results of statistical analysis is largely dependent on the quality of the collected data and efficiency of model calibration. Water is an essential ingredient to healthy living but has become a major threat due to physical and chemical factors associated to it. This work presents studies of measurement of water pollution in Eleyele reservoir. A single factor model is applied to study the hypothetical correlation between the water pollution and physical and chemical factors, which showed that ALK, CA, TH, Ch and DO were significantly and hypothetically related to water pollution. The path diagram of water quality parameters provided in Figure 1 contained the means and error variances to explain the variability of water quality depending on the source of origin of PCF and depth of the Eleyele reservoir. The coefficients obtained in ALK and TH indicated high constituent concentration to water pollution while the results in Table 1 revealed the failure thresholds of PCF against the standard specification limits. Findings in Table 2 showed that ALK, CA, TH, Ch and DO were significantly and hypothetically related to water pollution. This consequently implies that these five Chemical parameters are important in explaining variation in water pollution in Eleyele reservoir. It is evident from the study that pollution in Eleyele reservoir is due to domestic activities around it. This work has contributed to the literature differently using A single factor model.

    KEYWORDS:

    Hypothetical correlation, Physical and chemical factor, Single factor model, Water pollution.

    » Received: 4 October 2019
    » Accepted: 31 October 2019

    220 - 224

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    » General Class of Ratio-Cum-Product Estimators in Two-Phase Sampling using Multi-Auxiliary Variables

    » Peter I. Ogunyinka, Emmanuel Femi Ologunleko and Ademola A. Sodipo

    ABSTRACT:

    The generalised mixed ratio-cum-product estimators in Two-phase sampling has been developed and recommended using multi-auxiliary variables for Full Information Case (FIC), Partial Information Case I (PIC-I) and No Information Case (NIC) estimators. However, the PIC-I estimators would not obey the conditions of usage if both the ratio and product estimator components were not in partial information case, simultaneously. Hence, this study has considered two additional PIC (PIC-II and PIC-III) estimators which satisfied two more conditions for any PIC estimator in the family mixed estimator. Theoretical comparison established that the proposed PIC-II and PIC-III estimators were asymptotically efficient than PIC-I estimator. Similarly, the empirical analysis and comparison for thirty three simulated populations, following normal distribution, confirmed the asymptotic efficiency of the proposed estimators. The proposed estimators were recommended not as substitute but as complimentary estimators to the PIC-I estimator, subject to the confirmation of the conditions of usage. Special case estimators were developed based on the settings of the unknown constants in the proposed estimators.

    KEYWORDS:

    Ratio-cum-product estimator, Multi-auxiliary variables, Two-phase sampling, Partial information case.

    » Received: 6 September 2019
    » Accepted: 26 October 2019

    225 - 233

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    » A Multiclass Sentiment Classification using Skip-Gram Embedding with Support Vector Machine-Stochastic Gradient Descent (SVM-SGD)

    » Abdullah K.-K. A., Sodimu S. M., Odule T. J. and Solanke O. O.

    ABSTRACT:

    N-gram feature is used to represent documents in natural language processing but leads to curse of dimensionality. Sentiment classification based on word embedding to represent document with an incremental method reduce dimensionality with dense vector representation of words. This works focus on the skip-gram model with negative sampling for vector representation. The text class is predicted by maximising the probabilities of embedding vectors of words under the class. However, a Support Vector Machines with an extension of Stochastic Gradient Descent (SVM-SGD) is employed for effective classification of datasets into multiclass. This is achieved by maximising the margin between hyperplane of every two class pair using online learning as well as controlling the constraints and minimise the regularisation error. This reduces the effect of imbalanced classes in training the classifier parameters. Hence, solve a quadratic programming problem while running SGD for chosen iterations and returning the average point in the number of classes in terms of accuracy and computational cost.

    KEYWORDS:

    SVM, Multiclass, Skip-gram embedding, Stochastic Gradient Descent, Negative sampling.

    » Received: 26 June 2019
    » Accepted: 25 July 2019

    234 - 242

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    » Application of Seasonal Time Series Model to Rainfall and Temperature Forecast

    » A. I. Taiwo

    ABSTRACT:

    Climate change has become the foremost global challenge facing human’s existence at the moment and the effect will be multifaceted with respect to social, economy and environmental challenges. This paper built a model to forecast the significant changes in Nigerian rainfall and temperature time series data. The methodology employed in the analysis and modelling of the rainfall and temperature series was Seasonal Autoregressive Integrated Moving Average (SARIMA) model. The identification stage of the model building suggested four models for both series forecast, but SARIMA(1,1,1)×(1,1,1)12 and SARIMA(1,1,2)×(1,1,1)12 were validated in the estimation stage using Akaike Information Criteria (AIC), Schwartz Information Criteria (SIC), Coefficient of determination and Adjusted coefficient of determination. The model was diagnosed and the results showed that the model was adequate and parsimonious. Both models were used to obtain a one ahead out-sample forecast and the results indicated a rapid continuous rise and presence of seasonality in the forecasted rainfall and temperature time series data. In essence, there will be a significant continuous increase in Nigerian rainfall and temperature values. The values of the forecast evaluation’s metrics used for the two models were relatively small and this implied the forecast inaccuracy is low. In conclusion, the significant continuous rise over the months in rainfall and temperature series forecast indicated that there will be rapid climate change in immediate environment in the coming yearly. This may lead to flooding, infrastructural destruction, social and economic challenges and many more. Therefore, Nigerian Government at all levels needs to put in place plans to curtail its effects.

    KEYWORDS:

    Climate change, Forecasting, Seasonal Autoregressive Integrated Moving Average, Temperature, Rainfall.

    » Received: 9 September 2019
    » Accepted: 7 November 2019

    243 - 248

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    » Design and Implementation of an Automatic Fire Alarm System using GSM Module

    » O. M. Olaniyan, M. Jayeoba and Kazeem S.

    ABSTRACT:

    A great threat to lives and properties is fire disaster ever since the genesis of human existence. Statistically, over 70% of total loss of properties and about 20% of total loss of lives every year in Nigeria is due to fire disaster. Electric short circuit in faulty electrical wiring, leakage of flammable materials, insufficient fire defense materials, violation of fire safety and most especially, lack of adequate awareness etc. are the major causes of such percentage. Although conventionally, some factories and recent buildings have now incorporated fire extinguishing systems which are not enough to take prompt action during fire to save properties and ultimately save lives. This project is based on the design and implementation of an automatic wireless-based fire monitoring, detection and alarm system using GSM module. Designing a system to alleviate and to detect fire accidents in advance (before its outbreak) by alerting residents of a building and the fire department would really help to combat fire outbreak issues in the nation. The system is able to detect an erupting fire, alert occupants of the building, notify the concerned recipient, extinguish the source of the fire before the occurrence of such hazard, thereby proffering an eventual prevention of fire outbreaks and its fatalities, hence, saving lives and properties. This project basically takes the advantage of the dominating wireless communication network, using a GSM module to alert the concerned occupants remotely via text messages when the sensors sense dangerous gas leakage, heat and fire in order to alleviate the rate at which peoples lose lives and properties due to fire hazards in Nigeria.

    KEYWORDS:

    Fire, Sensor, Control Panel, Power supply.

    » Received: 14 April 2019
    » Accepted: 7 November 2019

    249 - 254

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    » Robust Three-step Broyden-like Algorithms for Functions of Several Variables

    » S. O. Yusuff, I. A. Osinuga, O. J. Adeniran and S. A. Onashoga

    ABSTRACT:

    In this work, we suggest some variants of Broyden-like algorithm to solve systems of nonlinear equations using various combination of quadrature rules . The proposed methods are three-step in nature whereby the first step is the initial iterate of the Newton’s method and the remaining two steps are the predictor-corrector of Broyden method and quadrature rules. Numerical tests show that these methods give encouraging results with respect to some existing Broyden-like methods in view of Dolan and More performance profile and Bogle and Perkins comparison index.

    KEYWORDS:

    Broyden-like method, quadrature formulas, predictor- corrector model, systems of nonlinear equations, numerical examples.

    » Received: 21 May 2018
    » Accepted: 12 June 2019

    255 - 260

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    » A Robust National Centralized Database System for Identity Management and Security Control in Nigeria

    » Oyeniran, Oluwashina A.; Oyeniran, Stella T. and Oyeniyi, Joshua O.

    ABSTRACT:

    Population increase, complex government service expansion and urgency for effective public service delivery to the citizens have made the application of Information and Communication Technologies for development of public service delivery increasingly indispensable to any nation. This is the epoch of e-governance and administration, where Information and Communication Technology innovations powered by the combination of hardware and software technologies to produce ease, accuracy, precision, efficiency and effectiveness in control of human and material management of the public. Hence, the efficacy of a national central database cannot be ignored, as researches from various authors have proven that this fosters e-government. Thus, this study proposed a model for the design, implementation, usage and maintenance of Nigerian National Central Database, which will serve as the driven force for the implementation of unified national identity cards, so as to curtail, if not completely exterminate, data multiplication, fraud and impersonation among host of others.

    KEYWORDS:

    Data multiplication, Database, Parastatals, National Identity Card, Security.

    » Received: 17 October 2019
    » Accepted: 26 November 2019

    261 - 265

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    » Alternative Views of Some Extensions of the Padovan Sequence with the Google Colab

    » Renata Passos Machado Vieira, Francisco Regis Vieira Alves and Paula Maria Machado Cruz Catarino

    ABSTRACT:

    The article discusses an alternative way of viewing Padovan sequence extensions through Newton fractals using Google Colab to develop these reproductions. Initially, a scientific bibliographic survey is conducted regarding the process of extension of this sequence. Thus, studies are made on this qualitative alternative of visualization for linear and recurrent sequences. Hereafter alternative forms are developed in Google Colab, so each fractal generated from the characteristic polynomial of these numbers is analyzed. Finally, the conclusions about this process are discussed, proposing studies to continue this work in the future and research in Brazil, as well as possible applications in the areas of Physics and the formation of teachers of Natural Sciences in Brazil.

    KEYWORDS:

    Extension, Fractal, Google Colab, Padovan sequence, Visualization.

    » Received: 13 Octomber 2019
    » Accepted: 24 November 2019

    266 - 273

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    » An Efficient Automated Revenue Generation Database Management System

    » D. D. Wisdom, E. A. Ajayi, S.O. Akindayo, Y. M. Yanah, E. Kwaido and S. A. Shehu

    ABSTRACT:

    Missing documents, multiple record entries, redundancy in data entry and revenue records over the years are a critical challenge. Thus, we have proposed An Efficient Automated Revenue Generation Database management system. The software is designed in order to maintain accurate and relevant revenue generated records efficiently. The research study tries to mitigate the problem of mismanagement of revenue records, multiple record entries, missing records, redundancy of records as well as effective management of revenue records/live storage of these records. The research also established a good user oriented data bank and designed a suitable database, procuring and installing the necessary database, communication and application software and developed a detailed documentation of all revenue allocated or collected which will encourage accountability and transparency effectively.

    KEYWORDS:

    Automation, Database Management System, Revenue Records.

    » Received: 4 July 2019
    » Accepted: 22 September 2019

    . - .

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    » Cointegration Analysis on Unemployment and Macroeconomic Variables among selected African Countries (A Dynamic Panel Approach)

    » Ayoola F. J. and Emmanuel C. Ezeja

    ABSTRACT:

    Unemployment in Nigeria and the entire sub-Saharan countries is viewed as part of major problem hindering development in Africa. Unemployment and its determinant have been widely discussed in literatures and have continued to attract the attention of researchers especially applied econometricians. The constant increase of unemployment in Africa necessitated this study. This study examined the effect of some selected macroeconomic variable on unemployment among 26 African countries using cointegration analysis. The panel unit root test shows that the entire variable contains a unit root at the level stage, while the first differences of the variables are all stationary. The result of Johansen cointegration test revealed that there is a long run relationship which exists between the selected macroeconomic variables and unemployment. We therefore employed the dynamic ordinary least square (DOLS) and fully modified ordinary least square (FMOLS) to obtaining the coefficient of the long run. The result of the DOLS indicates that at 5% level of significance the gross domestic product and the foreign direct investment have a negative and positive impact on unemployment respectively while exchange rate is not significant at the long run. Similarly the result of the FMOLS is in consistence with the DOLS. However we will rely on the DOLS for our inference since it performs better than FMOLS according to recent literatures.

    KEYWORDS:

    Panel unit root, Johansen Cointegration test, dynamic ordinary least square, dynamic panel models, fully modified ordinary least square(FMOLS).

    » Received: 11 March 2019
    » Accepted: 28 May 2019

    . - .

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    » On the comparison between Picard Iteration Method and Adomian Decomposition Method in solving non linear differential equations

    » O. Oludoun, O. Adebimpe, B. Gbadamosi and O. E. Abiodun

    ABSTRACT:

    In this paper,investigation of two analytical series methods for solving non-linear differential equations is examined. The study is to give a comparison between Picard’s iteration method and Adomian decomposition method in solving non-linear differential equations. The methods will be compared in terms of convergence, accuracy and efficiency.

    KEYWORDS:

    Adomian decomposition method, Convergence of the Adomian method, Picard’s iteration method, Picard’s Existence and Uniqueness Theorem.

    » Received: 12 September 2019
    » Accepted: 7 November 2019

    . - .

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    » Polynomial Sequence and Exponential Generating Function of Lucas Series

    » Tran Trung Tinh and Dam Van Nhi

    ABSTRACT:

    In teaching mathematics at high schools, the mathematics competency of teacher is an important procedure in teaching process. In this paper we study the properties of polynomial sequence and exponential generating function of Lucas series and I pointed out some application in mathematics. And I hope it will help the teachers to develop high school their mathematics competency in Vietnam.

    KEYWORDS:

    Teachers' mathematics competency, Polynomial sequence, Exponential generating functions, Lucas series.

    » Received: 3 Octomber 2019
    » Accepted: 24 November 2019

    . - .

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