"Annals. Computer Science Series" Journal
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Annals. Computer Science Series
Tome 18, Fasc. 1


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: June, 2020


Next papers follow the review process for the Journal inclusion:

  • [ARR: 12.04.2019] Tunji S. Ibiyemi, Yakubu A. Ibrahim - Robust Feature-Based Recognition of Printed Comprehensive Hausa Characters
  • [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: 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: 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: 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: 24.11.2019] Adil Mousa, Tarig M. Elzaki - Triple Laplace Variational Iteration Method for Solving Nonlinear Partial Differential Equations
  • [ARR: 24.12.2019] Muhsin Hassanu Saleh, Muhammad Amir Ishaq - Development of Industrial Training Request Portal for Al-Qalam University Katsina
  • [ARR: 27.12.2019] Tola John Odule, Ademola Olusola Adesina - A Method for Enhancing Data Storage Security and Confidentiality in the Cloud
  • [ARR: 09.01.2020] Oyewole, O.; Agunbiade, D.A. - Regression Techniques in the Presence of Multicollinearity and Autocorrelation Phenomena: Monte Carlo Approach
  • [ARR: 09.01.2020] Oyedeji, Marufat Bukola - A Time Series Modelling of Environmental Degradation as its Affects Mortality
  • [ARR: 09.01.2020] Oyedeji, Marufat Bukola - Analysis of Family Planning as a Predictor of Women Lifespan
  • [ARR: 09.01.2020] K.A Muhammed, L. Adebara, I.O.Ajao - Modification of Ratio Type Estimator for Population Mean
  • [ARR: 15.01.2020] Hammed, M.; Adeboye N. O. - Preventing Shoulder Surfing Attack in Graphical Password Authentication Scheme
  • [ARR: 16.01.2020] Hammed, M.; Adeboye N. O. - Preventing Shoulder Surfing Attack in Graphical Password Authentication Scheme
  • [ARR: 20.01.2020] Oladuti O. M., Abiodun A. A., Oyejola B. A. - Handling Ties in Survival Time Data with Competing Risk: A Simulation Study
  • [ARR: 20.01.2020] Olubimpe M. Oladuti - Modelling the Fetus Mortality due to Abortion among Nigeria Women: A Binary Response Analysis
  • [ARR: 22.01.2020] Bukola Badeji-Ajisafe - Global Stability of Lymphatic Filariasis in Ekiti State Nigeria
  • [ARR: 23.01.2020] Ndunagu J. N., Chuks-Ugochukwu Chinenye M. - Design and Implementation of an Improved Realtime Food and Drug Authenticating and Interacting System (A Case Study of NAFDAC)
  • [ARR: 24.01.2020] Taofeek-Ibrahim Fatimoh Abidemi, Toye Nike Toyin - Feature Extraction Techniques for SMS Spam Detection: Review
  • [ARR: 27.01.2020] Sefiu Adekunle Onitilo - Blood Flow through a Multi-Stenosed Human Carotid Artery: Effects of Hematocrit Variation and Stenosis Number
  • [ARR: 28.01.2020] Oyeniran, Oluwashina A.; Oyeniyi, Joshua O.; Ojo, Adeolu O. - Deep Learning Based Real-Time Facial Recognition System for Identity Management
  • [ARR: 30.01.2020] Adeniyi Oyewole Ogunmola, Emmanuel Tejuola Jolayemi - Deterministic Modeling to Indentify the Effect of HIV Screening
  • [ARR: 31.01.2020] Adesiyan Adefowope, Ifeyinwa Vivian Omekam, Adebowale Olusola Adejumo - Cubic Transmuted Lindley as a Better Distribution in the Family of Rayleigh Distributions

    Next papers follow the Journal publication process:

  • [ACK: 22.12.2019] Efuwape B.T, Abdullah K-K. A, Hammed F. A, Obadina O.G., Awosanya A. - Estimating Autoregressive Model using Goal Programming
  • [ACK: 22.12.2019] 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
  • [ACK: 25.12.2019] C. K. Asanya, D. Jibasen, Y. V. Mbaga - A modified Ideal Rank index Number Method
  • [ACK: 31.12.2019] Muhsin Hassanu Saleh, Mukhtar Bello - Online Hospital Management System
  • [ACK: 31.12.2019] K. O. Kareem, M. O. Olayiwola - Some Results on Fourth-Order Integro-Differential Equations
  • [ACK: 31.12.2019] K. O. Adetunji, T. Alanamu, E. J. Adefila - Applications of Two Non-Central Hypergeometric Distributions of Biased Sampling Statistical Models

    » Introducing a New Family of Distributions Called Burr-X Exponential

    » A. A. Sanusi, S. I. S. Doguwa, I. Audu and Y. M. Baraya

    ABSTRACT:

    This research studied and explored the Burr X and Exponential families of distributions. However, we introduced a new family of distribution called Burr X Exponential-G family of distribution. We obtained a new distribution called Burr X Exponential – Exponential; by showing its respective density and distribution functions from the proposed family of distributions. The validity of the new family of distribution is proved. Also, the survival and hazard function the family is presented. However, this new family of distributions will serve as an additional generator to the existing ones in the literature; for developing a new model for modeling positive real data sets.

    KEYWORDS:

    Burr X – G Family, Exponential – G family of distribution, Burr X Exponential – Exponential, validity test and reliability test.

    » Received: 29 Octomber 2019
    » Accepted: 13 December 2019

    9 - 12

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    » Bayesian Estimation of Dynamic Error Component Model with Moving Average Disturbances

    » Adepoju Abosede Adedayo and Ebukuyo Oluremi Bolaji

    ABSTRACT:

    This paper explores the estimation of Dynamic Panel Data Error Component Model with Autocorrelated disturbance of Moving Average of order one MA(1) using Bayesian approach; the Bayesian approach produced a very efficient estimator that was not plagued by moment conditions as in other popular Generalized method of moments (GMM) estimators. The Markov Chain Monte Carlo (MCMC) with Gibbs sampler algorithm was used to carry out the analysis as shown in the empirical illustrations. The estimation was done at varying degrees of Autocorrelation coefficients that is from mild to severe. The result showed that the Bayesian Estimator performed excellently as the Numerical Standard Error (NSE) decreased with increasing sample sizes.

    KEYWORDS:

    Dynamic Panel Data, Error Component, Autocorrelated Disturbance, Moving Average, Markov Chain Monte Carlo (MCMC), Gibbs Sampler.

    » Received: 21 Octomber 2019
    » Accepted: 13 December 2019

    13 - .

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    » Computing Fourier Integral using Matlab

    » A. R.Tasiu and H. Usman

    ABSTRACT:

    This work studies the computation of Fourier integral using Matlab software. The expressions obtained were computed in Matlab using ezplot command. The plots in line and contour form were presented. From the outcome of the result it was observed that the functions increase with increasing values of π.

    KEYWORDS:

    Fourier integral, matlab.

    » Received: 16 December 2019
    » Accepted: 31 December 2019

    . - .

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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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    » 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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