"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




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

Annals. Computer Science Series
Tome 17, 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: July, 2019


Next papers follows the review process for the Journal inclusion:

  • [ARR: 28.04.2017] Saheed Y.K., Arowolo M.O., Ibrahim S.A. - Artificial Neural Network For Breast Cancer Diagnosis
  • [ARR: 26.07.2017] Y.K. Saheed, K. A. Gbolagade - Chinese Remainder Theorem Based Domain Name Security System
  • [ARR: 07.10.2017] Muhsin Hassanu Saleh, Mukhtar Bello - Online Hospital Management System
  • [ARR: 27.11.2017] Yakubu A. Ibrahim, Tunji S. Ibiyemi - Technical Algorithms For Efficient Optical Character Recognition System: An Overview
  • [ARR: 05.12.2017] Osuolale Peter Popoola, Matthew Taiwo Odusina - Survey of Strategies for Teaching Statistics at School
  • [ARR: 19.01.2018] Adebayo O.Y., Adigun A.A., Isola E.O., Sijuade A.A. - Comparative Performance of Fingerprint and Face Recognition System
  • [ARR: 23.01.2018] Tochukwu Churchill Micheal AKUBUE - IoT; the Future of Industrial/Machine Automation
  • [ARR: 27.03.2018] Nguyen Thu Ha - The Trend of Education Reform in the World at the Present Context of Integration and Knowledge Economy
  • [ARR: 10.05.2018] Fagbola Temitayo Matthew, Oloyede Ayodele, Egbetola Funmilola Ikeolu, Akinpelu James Abiodun - CALPAS - An Employee Information and Payroll System for a Prototype University Enterprise in a Developing Economy Context
  • [ARR: 19.05.2018] Aliyu Rufai Yauri ,Salim Yusha’u - Hausa-English Cross Language Information Retrieval Disambiguation Approach
  • [ARR: 21.05.2018] S. O. Yusuff, I. A. Osinuga, O. J. Adeniran, S. A. Onashoga - Robust Three-step Broyden-like Algorithms for Functions of Several Variables
  • [ARR: 21.06.2018] Onatunji, Adewale.P. - Application of Seemingly Unrelated Regression and Ordinary Least Squares Estimators on Blood Pressure
  • [ARR: 28.06.2018] Osuolale Peter Popoola, Omotola Omotayo Dawodu, Olufemi Olusola Yusuff, Ayaniyi Wole Ayanrinde - Modelling the Effect of Climatic Change using Quadratic Regression and Factorial Analysis on Global Food Production
  • [ARR: 23.07.2018] Yakubu A. Ibrahim, Silas A. Faki, Tunji S. Ibiyemi - Automatic Speech Recognition using MFCC in Feature Extraction based HMM for Human Computer Interaction in Hausa
  • [ARR: 17.08.2018] Usman M. A., Sikiru A. B., Olayiwola M. O. - Analytical Solution of a Reactive Hydromagnetic Fluid through Porous Media between Permeable Pipes under Optically Thick Limit Radiation
  • [ARR: 22.09.2018] Tajudeen Niyi Madandola, Kazeem Alagbe Gbolagade - A Framework for Improving the Speed of Principal Component Analysis Algorithm Based on Chinese Remainder Theorem
  • [ARR: 05.12.2018] Ziham Zawawi Mazlan - GeoGebra: Does it really motivates students to learn Mathematics?
  • [ARR: 23.12.2018] K.Srikala - Flexible and Extensible Design Patterns of Software
  • [ARR: 06.01.2019] Dare Remi Julius, Adesina Sunday Olumide, Famurewa Kehine Dolapo, Adedotun Dayo, Owoseni Timothy - Detection of Upper Outliers in an Exponential Sample using Multiple Outlier Tests
  • [ARR: 18.01.2019] Ibraheem B. A., Adeleke B. L. - A Proposed Method of Identifying Significant Effects in Unreplicated Factorial Experiments
  • [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: 28.02.2019] Rand Raffat Tarawneh - Monitoring the Status of Resource Components of the Network
  • [ARR: 05.03.2019] Oludapo Omotola Olubanwo, Olutunde Samuel Odetunde - Laplace Homotopy Perturbation Method of Solving Nonlinear Partial Differential Equations
  • [ARR: 11.03.2019] Ayoola F. J., Emmanuel C. Ezeja - Cointegration Analysis on Unemployment and Macroeconomic Variables among selected African Countries (A Dynamic Panel Approach)
  • [ARR: 13.03.2019] Abayomi Ayoade, Agboola Sunday, Mohammed Ibrahim - Mathematical Analysis of the Effect of Maternal Immunity on the Global Eradication of Measles
  • [ARR: 18.03.2019] Matthew Aina, Muhammed Besiru Jibrin, Usman Abubakar Jauro, Olukayode Aiyeniko - Differential Incidence of Type II Diabetes Mellitus between Male and Female using Beta Binomial Model
  • [ARR: 29.03.2019] O. I Adeniyi, B. A Oyejola - Investigating methods of estimating parameters in Cox model with two incorrectly specified random effects: A simulation study
  • [ARR: 29.03.2019] Alaba T. Owoseni, Julius Oluwadare, Oladipupo Kehinde Famurewa - An Improved K-Means Clustering Technique using Weighted Mean Subtractive Approach
  • [ARR: 31.03.2019] Abass Taiwo, Timothy Olatayo - Performance of an Optimum Autoregressive Spectral Estimation Method Based on Signal Length
  • [ARR: 02.04.2019] Nguyen Thi Huong Lan - Metacognition in REACT Teaching Strategy
  • [ARR: 09.04.2019] K. A. Muhammed, F. A. Bolariwa, I. O. Ajao - Exponential Smoothing Methods in Forecasting Nigeria Consumer Price Index
  • [ARR: 11.04.2019] Akinrotimi, Akinyemi Omololu; Mabayoje, Modinat Abolore - A Neural Network Approach in Performing Non-Invasive Analysis of Muscle Impulses for Hand Gesture Recognition
  • [ARR: 12.04.2019] Yakubu A. Ibrahim, Silas A. Faki, Taofeek-Ibrahim Fatimoh Abidemi - Automatic Speech Recognition using MFCC in Feature Extraction based HMM for Human Computer Interaction in Hausa
  • [ARR: 12.04.2019] Tunji S. Ibiyemi, Yakubu A. Ibrahim - Robust Feature-Based Recognition of Printed Comprehensive Hausa Characters
  • [ARR: 14.04.2019] O.M Olaniyan, M. Jayeoba, O. Cyril - Design and Implementation of an Automatic Fire Alarm System using GSM Module
  • [ARR: 14.04.2019] J.O. Muili, A. Audu - Modification of Ratio Estimator for Population Mean
  • [ARR: 14.04.2019] Olabode A.O., Abdulkareem B. Q., Ajao T. A. - Comparative Analysis of Some Selected Metaheuristic Algorithms for Solving Intelligent Path Planning Problem of Mobile Agents
  • [ARR: 18.04.2019] Aládé S. M., Ninan O. D., Odéjobí O. A. - Issues in Knowledge Representation in Yorùbá Narratives
  • [ARR: 20.04.2019] Oyeniran, Oluwashina A.; Adegoke, Benjamin O.; Oyeniyi, Joshua O. - Multiple Classifiers: An Approach in Iris Recognition System
  • [ARR: 24.04.2019] Olabode A. O., Fenwa O. D. - Effect of Computation Time, Memory usage and Number of Nodes visited on the Performance of Some Selected Heuristic Algorithms
  • [ARR: 25.04.2019] Adebayo Y. Olajide, Adigun A. Adepeju, Isola E. Oluwaseun - A Ear and Tongue Based Multimodal Access Control System
  • [ARR: 25.04.2019] Kayode Olufunke O., Ogundokun Roseline O., Olorundare Adekunle S., Adeniyi Adeniyi E., Opeyemi E. Ogundokun - Assessment of the Views of Senior School Students on HIV/AIDS in a State in North Central, Nigeria
  • [ARR: 30.04.2019] Osuolale Peter Popoola, Matthew T. Odusin, Ayaniyi A. Ayanrinde, Abosede. T. Popoola - Split-Plot Analysis to Investigate Different Rates of NPK Fertilizers application and Genotype on the Yield of Cassava
  • [ARR: 16.05.2019] K.Sreekala, K.Sai Jeevan Reddy - Transport Location Inference Drawing using Global Positioning System
  • [ARR: 16.05.2019] Mohammed Babatunde Ibrahim, Kazeem Alagbe Gbolagade - Performance Enhancement of Huffman Coding Image Compression with Chinese Remainder Theorem

    Next papers follows the Journal publication process:

  • [ACK: 26.11.2018] A.Jerome Robinson, K.Satyanarayana, S.Ranganathan - Implementation of Cloud Computing in Archaeology to Track the Visitor for Prediction by Using the Hormonal Changes
  • [ACK: 24.03.2019] Oloyede I., Hassan I. A. - Evaluation of Accuracy between Item-Based and Matrix Factorization Recommender System
  • [ACK: 28.03.2019] Yusuf Olatunde, Lawrence Omotosho, Caleb Akanbi - Comparison of Adaboost and Bagging Ensemble Method for Prediction of Heart Disease
  • [ACK: 05.04.2019] Odule Tola John, Adesina Ademola Olusola, Solanke Olakunle O. - Effecting Secure Mutual Agreement in a Mutually-Suspicious Vicious Party
  • [ACK: 06.04.2019] A.A Ibrahim, Ibrahim Suleiman, Ojonugwa Ejima - On the Addition Modulus of the Aunu Pattern 𝜔𝑖 ∈ 𝐺𝑝; An Investigation of Some Topological Properties
  • [ACK: 15.04.2019] I. Suleiman, O. Ejima - On Some Permutation Statistics of the Aunu Pattern 𝜔𝑖 ∈ 𝐺𝑝
  • [ACK: 07.05.2019] Tran Trung Tinh, Le Hong Quang - Integrating Art with STEM Education - STEAM Education in Vietnam high schools
  • [ACK: 08.05.2019] Omotosho L. O., Akanbi C.O., Otubu O. O., Alade S. M. - Design and Analysis of a Formal Computational Ontology Model for Yoruba Naming Convention

    » Parameter Estimation of Cobb Douglas Production Function with Multiplicative and Additive Errors using the Frequentist and Bayesian Approaches

    » J.O. Iyaniwura, A. Adedayo Adepoju and Oluwaseun A. Adesina

    ABSTRACT:

    Nonlinear Models are generally classified as intrinsically nonlinear and intrinsically linear based on the specification of the errors. This study was aimed at estimating the parameters of Cobb-Douglas production function with additive and multiplicative errors using the classical and Bayesian approaches. The classical nonlinear method considered is the Gauss-Newton iterative Method while the Bayesian estimation was carried out using the Metropolis-within-Gibbs with independent normal-Gamma prior. For the classical, the results showed that the estimates of the parameters of the Cobb-Douglas function with additive errors performed better than those for the multiplicative errors. However, similar estimates were obtained for both multiplicative and additive errors for the Bayesian approach. Overall, the Bayesian method performed better than the classical approach.

    KEYWORDS:

    Cobb-Douglas Production function, Gauss-Newton Method, Normal-Gamma Prior, MCMC.

    » Received: 10 March 2018
    » Accepted: 30 September 2018

    9 - 15

    imag/pdf.ico.gif PDF

    » A Modified Ratio Techniques in Successive Sampling on Two Occasions


    » K. O. Adetunji and A. O. Adejumo

    ABSTRACT:

    Successive sampling is a known technique that can be used in longitudinal surveys to estimate population parameter and measurement of change or sum of study variables and auxiliary variables. However, the problem of ratio estimation is incorporated to successive sampling on the samples selected over two occasions has been considered. This study aimed at proposed Ratio Estimator technique in the context of devising efficient sampling strategies for estimators. The three estimators used as the instrument for parameter estimation in the successive sampling are Simple Estimator (SEst), Linear Estimator (LEst) and proposed Ratio Estimator (PRATEst). The proposed Ratio Estimator procedure was obtained through the properties of biasness, mean square Error (MSE), minimum mean square Errors (MMSE) and Efficiency comparison (EC). Two sets of Real life data were used in this study. The first data was collected from National Population Commission (NPC) of the census conducted in Nigeria for year 1991 and 2006, also the second data set was collected from ministry of education and human capital development on the teachers and students enrolment for 2013/2014 and 2016/2017 academic sessions. In, conclusion, it is clear and also visible that proposed estimator (PRATEst) μ_PRATE=(˥x)/(˥y)*(˥z) is highly rewarding than conventional ones μ_SE=(˥x),(˥y) and (˥z) and μ_LE=(˥x)(˥y),(˥x)(˥z) and (˥y)(˥z) therefore, the proposed estimator is recommended for use in successive sampling scheme.

    KEYWORDS:

    Successive sampling, Ratio Estimator, Auxiliary Variable, Census, Students Enrolment.

    » Received: 22 October 2018
    » Accepted: 14 January 2019

    16 - 25

    imag/pdf.ico.gif PDF

    » Towards Refining Unrated and Uninterested Items for Effective Collaborative Filtering Recommendations


    » Abba Almu, Abubakar Roko, Aminu Mohammed and Ibrahim Sa’idu

    ABSTRACT:

    Collaborative filtering recommender systems being the most successful and widely used plays an important role in providing suggestions or recommendations to users for the items of interest. However, many of these systems recommend items to individual users based on ratings which may not be possible if they are not sufficient due to the following problems: it may lead to the prediction of uninterested popular items already known to the users because of the penalty function employed to punish those items, the sparsity of the user-item rating matrix increases making it difficult to provide accurate recommendations and also it ignores the users general preferences on the recommended items whether they are of interest to users or not. Therefore, many times uninterested items can be found in the recommended lists of an individual user. This will make user to lose interest in the recommendations if these uninterested predicted items always appear in the lists. In this paper, we proposed a collaborative filtering recommendations refinement framework that combines the solutions to these three identified problems. The framework incorporates a popularise similarity function to reduce the influence of popular items during recommendations, an algorithm to fill up the missing ratings of unwanted recommendations in the user-item rating matrix thereby reducing the sparsity problem and finally an algorithm to solicit for user feedback on the recommended items to minimise uninterested recommendations.

    KEYWORDS:

    Collaborative Filtering Recommendations, Sparsity, User Preference, Popular items, Uninterested Recommended List.

    » Received: 8 November 2018
    » Accepted: 14 January 2019

    26 - 32

    imag/pdf.ico.gif PDF

    » Evaluation of an Optical Character Recognition Model for Yoruba Text


    » Abimbola Akintola, Tunji Ibiyemi and Amos Bajeh

    ABSTRACT:

    The optical character recognition (OCR) for different languages has been developed and in use with diverse applications over the years. The development of OCR enables the digitization of paper document that would have been neglected over a period of time as well as serving as a form of backup for those documents. The system proposed is for isolated characters of Yoruba language. Yoruba language is a tonal language that carries accent on the vowel alphabets. The process used involves image gray scal, binarization, de-skew, and segmentation. Thus, the OCR enable the system read the images and convert them to text data. The proposed model was evaluated using the information retrieval metrics: Precision and Recall. Results showed a significant performance with a recall of 100% in the sample document used, and precision results that varies between 76%, 97%, and 100% in the sample document.

    KEYWORDS:

    Recognition, binarization, image digitization, accuracy, Yoruba language.

    » Received: 19 October 2018
    » Accepted: 14 January 2019

    33 - 42

    imag/pdf.ico.gif PDF

    » Balanced Incomplete Sequence Crossover Design for First Order Residual Effect


    » Lanre Adebara and Babatunde Lateef Adeleke

    ABSTRACT:

    Crossover designs are of the type in which sequence of different treatments are administered one at a time over a certain period of time, during which the presence of residual effect or rather carryover effect can longer be ignored. This paper therefore presents two first order residual effect, that is effect on the immediate next period after the period of treatment application. The first method constructs designs for any number of treatment, v for any prime number that has x=2 as primitive root of the associated Galois field. using the two algorithms I1 = ( x0, xm , x2m,..., x2k-x)and I2 = (x1, xm+1, x2m+1,..., x2k-x+1). The second method is also for the construction of designs for any number treatment, v for any prime number that has x=3 as the primitive root of the corresponding Galois field with two algorithms I1 = (x0, xm, x2m,..., x2k+m-x-1) and I2 = (x1, xm+1, x2m+1,..., x2k+m-x). By exploiting cyclic development of v-1 initial sequences of treatment order, universally optimal balanced crossover design of the first order for the two methods were constructed in this paper and the two methods generate every non-zero elements of any prime number.

    KEYWORDS:

    Crossover Design; Galois Field; Balanced Design; Initial Sequence; Cyclic Development.

    » Received: 12 November 2018
    » Accepted: 25 January 2019

    43 - 46

    imag/pdf.ico.gif PDF

    » Survival Analysis of Breast Cancer in Nigeria


    » Osuolale Peter Popoola, Ayomide Oluwaghenga and Abosede Titilope Popoola

    ABSTRACT:

    In Nigeria as well as in other parts of the world, Breast cancer remained the most common cancer among women and the second leading cause of death. This research attempts to carry out data analysis on breast cancer data in Nigeria so as to determine the trend movement of the disease, determine how age influences the survival of patient, test for the significance in the distribution of survival time of the patients, measure the average survival time of the patients after treatment, estimate the time to event of interest (death) and estimate the probability of survival. The results of various data analysis showed that the median survival time until the event occurs is 15 days for male and 13 days for female. Kaplan-Meier Estimator shows that female response to treatment faster than male patients with the mean time of 24.8 days and t 21.90 days respectively, the survival plot shows that the probabilities of surviving is decreasing as time progresses, it also revealed that in all age groups, there is a decrease in their chance of surviving. The result of cox proportional hazard regression analysis shows that Age and Length have high statistical significant coefficients which means that the risk of death is higher in Year with a positive value while the risk of death is low in Age, Sex, and Length spent in hospital with negative value of coefficient. The Hazard Ratio (HR) of 0.993186, indicates a strong relationship between the patients’ Age and patients risk of death and between the time spent in the hospital and decrease risk of death. The beta coefficient for sex gives -0.1828 indicates that female patients have lower risk of death than male patients and the hazard ratio gives 0.832338. The Wilcoxon test and Long rank test revealed that there are no statistically differences in the survival rates between males and females but there is a statistically differences in the survival rates between Dead and Alive. It also shows that female patients have lower risk of death than male patients with the beta coefficient of -0.1828 while hazard ratio gives 0.832338.

    KEYWORDS:

    Survival Analysis, Breast Cancer, Kapler Meier Estimator, Log-Rank Test and Wilcoxon Rank Test and Cox Proportion Regression.

    » Received: 5 December 2018
    » Accepted: 29 January 2019

    47 - 56

    imag/pdf.ico.gif PDF

    » Differential Equation as a Solution for Population Problems


    » Y. Zakari and A. Hassan

    ABSTRACT:

    World of mathematical ideas, where a model is established, we then manipulate the model by the help of already existed techniques or computer numerical computations, finally we then investigate the model that will lead us to the solution to our mathematical problems related to the model, which is translated into a real life applications. The application of first order differential equation in Growth and Decay problems will study the method of variable separable and the model of Malthus (Malthusian population model), where we use the methods to find the solution to the population problems which are of use in mathematics, physics and biology especially in dealing with problems involving growth and decay problems that requires the use of Malthus model.

    KEYWORDS:

    Malthus model, Differential equation, Growth rate, Decay rate, Population rate, Population, Order, Attenuation.

    » Received: 19 January 2018
    » Accepted: 7 February 2019

    57 - 62

    imag/pdf.ico.gif PDF

    » Arabic Digital Resources in the Service of Learning


    » Ali Sadiqui, Ahmed Zinedine and Mohamed El Hari

    ABSTRACT:

    Video-pedagogy knows a growing popularity, due to its many supposed virtues. Compared to static documents, the animations have the power to attract attention and increase the interest and motivation of the reader. Un-fortunately, the resources available on the Internet in Arabic language in this area do not reflect its position as a language used by more than 300 million people. Our aim in this contribution is to present a project that was designed and steered in this context. This project is motivated by the desire to integrate vid-eo animations as educational support for learners of the OFPPT (Office de Formation Professionnelle et de Promotion du Travail) as well as to contribute to enrich the Arabic content on the Internet by quality products in this area. We then, in collaboration with a team of practitioners and with the participation of some learners designed and tested a series of video animation in Arabic language allowing the acquisition of theoretical concepts taught in the classroom. The final product has positively impacted the assimilation of courses. This contribution will return to all the components of this project.

    KEYWORDS:

    Arabic language, Arabic digital resources, Video-pedagogy, reverse class.

    » Received: 11 November 2018
    » Accepted: 25 January 2019

    63 - 68

    imag/pdf.ico.gif PDF

    » Clonal Selection Algorithm for Feature Level Fusion of Multibiometric Systems


    » Oluyinka T. Adedeji, Adeleye S. Falohun, Oluwaseun M. Alade, Elijah O. Omidiora and Stephen O. Olabiyisi

    ABSTRACT:

    Multimodal biometric makes use of two or more biometric modalities to overcome some of the limitations of unimodal biometric system. Feature level fusion has been shown to provide a more secured recognition system with higher performance accuracy. However, associated with feature level fusion is the problem of high dimensionality of the combined feature, therefore in this paper, Discrete Wavelet Transform (DWT) is used for feature extraction while fusion is performed at the feature selection phase using Clonal Selection Algorithm (CSA). The performances of the bimodal systems indicate increase in recognition accuracy compared to their unimodal counterparts.

    KEYWORDS:

    Biometrics, Fusion, Multimodal, Discrete Wavelet Transform, Clonal Selection Algorithm.

    » Received: 11 October 2018
    » Accepted: 26 November 2018

    69 - 75

    imag/pdf.ico.gif PDF

    » Development of a Modularized Model for a Multi-Process Food Manufacturing System using Hierarchical Timed Coloured Petri Nets


    » Rafiu A. Ganiyu, Oladotun O. Okediran, Busirat O. Muraina and Taofeeq A. Badmus

    ABSTRACT:

    Concerted efforts are being made yearly by researchers to improve food manufacturing systems through modelling in order to meet current and future market demands. However, most existing empirical studies are limited to development of non-modular models for multi-process food manufacturing systems. Hence, in this paper, a Hierarchical Timed Coloured Petri Net model, which could accommodate future modifications, was developed for Gari manufacturing system. The model comprises Peeling, Washing, Grating, Fermentation, Dewatering, Pulverization, Garifying, Cooling, Sifting and Packaging modules. The model was simulated to determine the average times used and utilized-resources rates for productions of 200, 400 and 600 kg of Gari, and to study what could happen to production times in the possibility of additional resources for productions of 800 and 1000 kg of Gari. The model was validated at 5% significant level using statistical t-Test. The model could be efficiently utilized to study and improve Gari production working plan.

    KEYWORDS:

    Petri Nets, Food, Gari production, Module, Process, Model.

    » Received: 26 October 2018
    » Accepted: 14 January 2019

    76 - 86

    imag/pdf.ico.gif PDF

    » Time Series Analysis of Brent Crude Oil Prices Per Barrel: A Box-Jenkins Approach


    » Adebowale Olusola Adejumo and James Daniel

    ABSTRACT:

    This study was aimed at analyzing the Brent Crude Oil Price Per Barrel. The data was extracted from the Organisation of Petroleum Exporting Countries (OPEC) Bulletin and it covered the period of January 1985 to September 2016. The Box and Jenkins approach of model identification, parameter estimation and diagnostic checking was adopted in the analysis with the aid of S-plus Package. In view of the above problem, this research was set to: explore and explain the behavior of the series; determine the best model; and forecast future values of the series. With the aid of S-Plus programming ware, R language ware; ARIMA (2,1,2) (2,0,0) [12] was reached as an optimum and parsimonious model for the series. An arithmetic increase in the price was forecast.

    KEYWORDS:

    Autocorrelation, Partial Autocorrelation, Autoregressive Integrated Moving Average (ARIMA), Autoregressive Moving Average (ARMA), Autoregressive (AR), Moving Average (MA), Differencing, Brent Crude Oil, Stationary Series.

    » Received: 27 January 2018
    » Accepted: 6 April 2018

    87 - 101

    imag/pdf.ico.gif PDF

    » Performance Evaluation of a Cloud-based Picture Archiving and Communication System (PACS)


    » Jinmisayo Awokola, Justice Emuoyibofarhe, Christoph Meinel and Funmi Ajala

    ABSTRACT:

    In the field of medical informatics, there has been a paradigm shift from the adoption of the conventional Picture Archiving and Communication System (PACS) to cloud-based PACS because of the cost-effectiveness and storage computational efficiency. However, cloud-plugged technologies are subject to security and network performance issues because of the internetworking and interoperability over the internet. Hence, this work focused on the development and evaluation of a secured cloud-based PACS framework so as to assess the usability of the technology in developing countries of the World through a case study approach.

    KEYWORDS:

    .

    » Received: 19 August 2018
    » Accepted: 3 March 2019

    102 - 108

    imag/pdf.ico.gif PDF

    » Facial Recognition System: A Shift in Students Attendance Management


    » Kehinde Sotonwa and Oluwashina Oyeniran

    ABSTRACT:

    It was observed that the habitual method of taking attendance easily allow impersonation and time consuming. In the global community, various facial recognition based attendance frameworks have being proposed and successfully implemented, many of which are of one limitation or the other. Hence, this study proposed a multi-algorithm approach to design and implement an automated and reliable system using biometric for effective attendance taking in Nigerian institutions. The system employed bimodal biometric technique for combining Principal Component Analysis (PCA) with Histogram of Oriented Gradient (HOG) for feature extraction and Artificial Neural Network (ANN) combined with Support Vector Machine (SVM) for classification. For the design and implementation, the system made use of the in-built webcam to capture its images for enrolment and verification. The system was trained with five hundred registered and fifty unregistered facial images.

    KEYWORDS:

    PCA, HOG, ANN, SVM, C#, SQL.

    » Received: 21 January 2019
    » Accepted: 3 March 2019

    109 - 113

    imag/pdf.ico.gif PDF

    » An Enhanced Round Robin Virtual Machine Load Balancer for Cloud Infrastructure


    » Timothy Moses, Edward O. Agu, Okwori Anthony Okpe and John A. Oladunjoye

    ABSTRACT:

    With continuous increase in volume of data and its computational capacity in cloud, support for users request in cloud cannot be ignored. Considering problem of load imbalance resulting in high throughput and response time, there is the need therefore to develop a better model that will improve resource utility and performance of distributed systems so as to reduce response and processing time while providing better Virtual Machine (VM) efficiency. This paper analysed Round Robin load balancing algorithm and the deficiencies of this algorithm served as a basis for improvement in the proposed load balancer. The proposed algorithm has three phases; VM categorization phase that re-arrange VMs in the increasing order of their processing speed with 80% of total threshold value of each VM computed. Allocation phase helps find suitable VM for execution of cloudlet and the reliability assessment phase ensures that each VM performs at it optimal level before its consideration for allocation of cloudlets. An extensive simulation was carried out to evaluate the proposed algorithm using cloud analyst simulator. Results obtained from simulation shows that the proposed algorithm yields better response time, datacentre processing time and a lower turnaround time than the existing round robin load balancing algorithm.

    KEYWORDS:

    Virtual machine, datacentre, virtualization, threshold value, cloudlet, user base, turnaround time, load balancer.

    » Received: 9 January 2019
    » Accepted: 3 March 2019

    114 - 121

    imag/pdf.ico.gif PDF

    » Construction of Steiner Triple System STS(2n +1) from a Class of Pairwise Balanced Designs


    » Osuolale Peter Popoola, Benjamin A. Oyejola, Ayanniyi Ayanrinde and Matthew Odusina

    ABSTRACT:

    Pairwise Balanced Design (PBD) is a pair (X, Ɓ) where X is a set of treatments and Ɓ is a collection of subsets of X called blocks, such that each pair of treatments is contained in precisely one block. PBD plays important role in design theories, it is used to construct other important designs such as Steiner Triple System (STS). A Steiner triple system is an ordered pair (X, Ɓ), where X is a finite set of points (Treatments) and B is a set of all 3-element subsets of X called triples, such that each pair of distinct elements of X occurs together in exactly one triple of B. The research work aims at applying a class of PBD(n, K, 1) when K ={3, 4} and λ = 1 to construct STS(2n +1). Theorem was proposed and proved and a certain inequality was derived as condition which must be satisfied for the construction to hold. Thus, for all n ≡ 1, 3(mod 3) of any PBD(n, {3, 4}) there exists an STS(2n +1) provided n ≥ l(s -1) + 1, where l is the size of the largest block of the PBD and s is the size of the smallest block of the PBD. Hence, STS(21) was constructed from a PBD(10, {3, 4}, 1).

    KEYWORDS:

    Block Designs, Pairwise Balanced Design (PBD), Steiner Triple System (STS) and Combinatorial System.

    » Received: 14 January 2019
    » Accepted: 13 March 2019

    122 - 126

    imag/pdf.ico.gif PDF

    » Construction of Congruent Classes of Pairwise Balanced Designs using Lotto Designs


    » Osuolale Peter Popoola and Benjamin A. Oyejola

    ABSTRACT:

    Among the Incomplete Block Designs(IBDs), Balanced Incomplete Block Designs (BIBDs) are mostly studied. However, BIBD is not available for all parameters of most designs therefore limited in applications. So, in place of BIBD there is need for another incomplete block design that could be used for varieties of applications. Thus, the need for Pairwise Balanced Designs (PBDs). PBD (n, K, λ) is a block design where n is the number of treatments, where K= {k1, k2…, kb} is the set of sizes of block and λ is number of time a pair of treatment appear together within blocks. Also, little is known about the construction of PBDs using Lotto Designs (LDs). An LD(n, k, p t) is a set of k-blocks of an n-treatments such that any p-sets intersect at least one k-block in t number of times. The aim of the study is to provide a simple method for constructing two classes of PBD(n, K, λ) when = K {3, 4} or {3, 4, 5} using appropriate LDs; establish conditions for the identification of LDs that could use to construct the classes of PBDs; and derive theorems and simple steps for the construction of PBDs from LDs. The research work utilized the Li’s inequality to obtain LDs that are PBDs using r and λ obtained from the classes of PBDs on the Li inequality. Some LDs were generated and based on the structure of the classes of the PBDs to be constructed, some conditions were imposed. Hence some LDs were found to qualify as PBDs. Theorems were proposed and proved. Hence, the following results were obtained: Any LD(n, k, p, t) satisfying the conditions: 3 ≤ k ≤ n and n = p qualify as PBDs and the proposed theorems were: (a) 2-LDs(n, k, p, t)(n, k+1, p, t) is a PBD(n, {3, 4}) if and only if n ≡ 0, 1 (mod 3); (b). 3-LDs(n, k, p, t)(n, k+1, p, t)(n, k+2, p, t) is a PBD(n, {3, 4, 5}) if and only if n ≡ 2, 3 (mod 4). Thus, two classes of PBDs(n, K, λ) when K= {3, 4}) and K= {3, 4, 5} were constructed from the appropriate LDs for all admissible n-treatments satisfying the specified conditions.

    KEYWORDS:

    Block Designs, Incomplete Block Designs (IBD), Balanced Incomplete Block Designs (BIBDs), Pairwise Balanced Designs (PBDs) and Lotto Designs (LDs).

    » Received: 12 January 2019
    » Accepted: 3 March 2019

    127 - 134

    imag/pdf.ico.gif PDF

    » Adaptive Particle Swarm Optimization Scheduling Model for Jobs on Cloud


    » Alaba T. Owoseni, Olatunde Iyaniwura and Lukman Adebayo Ogundele

    ABSTRACT:

    Cloud computing is a special network-based computation that makes computational services available to customers on demand. In this computational paradigm, resources are managed by organizations that have all it takes to purchase and manage them since they are cost intensive and as such, the needy of computer-based services pay the organizations as virtualized resources are used to provide services to the needy. On cloud, effective and efficient computation depends on the technique used in scheduling tasks among computational resources especially the virtual machines and this has called for many researches from various quarters. In this paper, we propose an improved particle swarm optimization algorithm whose parameters (cognitive and social coefficients and inertial weight) are adaptive as a measure against premature convergence of the algorithm. CloudSim simulator was used to simulate the operation of the algorithm and the performance was compared with classic particle swarm optimization method for better result.

    KEYWORDS:

    Adaptive particle swarm optimization, inertial weight, cloud computing, cognitive coefficient, social coefficient, makespan.

    » Received: 15 January 2019
    » Accepted: 13 March 2019

    135 - 141

    imag/pdf.ico.gif PDF

    » Improved Variance Estimator using Linear Combination of Tri-mean and Quartile Average


    » J.O. Muili, A. Audu, R. V. K. Singh, A.B. Odeyale and A. Adebiyi

    ABSTRACT:

    In this paper, we proposed a ratio cum product estimator for estimating finite population variance. The proposed estimator was obtained by transforming [MS17] estimator. The bias and mean square error (MSE) of the proposed estimator has been obtained and the conditions for it efficiency over some existing variance estimators have been established. The efficiency of proposed estimator based on optimal value of the constant, exhibit significant improvement over the estimators considered in the study. The numerical illustration was also conducted to corroborate the theoretical results. The results of the empirical study show that the proposed estimator is more efficient over existing estimators.

    KEYWORDS:

    Tri-mean, Quartile, Mean Square Error, Efficiency, Variance.

    » Received: 14 December 2018
    » Accepted: 29 January 2019

    142 - 147

    imag/pdf.ico.gif PDF

    » Improved Estimators of Finite Population Variance using Unknown Weight of Auxiliary Variable


    » J. O. Muili, A. Audu, R. V. K. Singh and I. A. Yunusa

    ABSTRACT:

    In this paper, we proposed a class of ratio estimators for finite population variance. The proposed estimators were obtained by transforming [S+18] estimators. The properties (Bias and Mean Square Errors (MSEs)) of the proposed estimators have been obtained and the conditions for their efficiencies over some existing variance estimators have been established. The efficiencies of proposed estimators based on optimal value of the constant, exhibit significant improvement over the estimators considered in the study. The numerical illustration was also conducted to corroborate the theoretical results. The results of the empirical study show that the proposed estimators are more efficient over existing estimators.

    KEYWORDS:

    Efficiency, Auxiliary variable, Median, Mean Square Error, Ratio Estimator.

    » Received: 14 December 2018
    » Accepted: 29 January 2019

    148 - 153

    imag/pdf.ico.gif PDF

    » Numerical Solutions to the Extinction Problem of Polio Transmission Agents in Nigeria


    » Johnson Gbola Olawuwo and Olabisi O. Ugbebor

    ABSTRACT:

    In spite of local and international efforts to end the scourge of poliomyelitis in the world, the disease still exists around the world with new cases being detected in otherwise polio-free areas while the known endemic places of Asia and Sub-Saharan Africa are yet to be ridden of the epidemic. Knowing with accuracy whether the disease has finally ended in a population has always being a subject of interest to mathematicians, statisticians and epidemiologists. In this study, we have defined a conditional probability function xic(t) as the probability of zero transmission agents given that there are initially (i) symptomatic (ii) infectives and (iii) asymptomatic carriers. Using the properties of Poisson process, two backward equations were derived which were jointly solved numerically . With these numerical solutions, we were able to formulate a model for the two identified transmission agents of poliomyelitis.

    KEYWORDS:

    Modelling, Backward Equation, Picard’s Method, Polio-free Period, Polio Virus.

    » Received: 13 February 2019
    » Accepted: 24 March 2019

    154 - 156

    imag/pdf.ico.gif PDF

    » A multi-level authentication scheme for controlling access to private and sensitive information of an enterprise


    » M. O. Odim, G. S. Fashoto and V. I. Nsiamuna

    ABSTRACT:

    This study proposed a multilevel authentication security scheme for controlling access to private and sensitive information against unauthorised users. The scheme is composed of face recognition at the first level and username/password authentication, at the other level. The face recognition was modelled using principal component analysis, while the username and password employed VB.Net password tool. One hundred users were enrolled and their faces captured using a webcam; they were afterward used to access the performance of the proposed system. The results showed that access could only be granted by successful validation of the combined authentication levels. However, it was observed that the face recognition accuracy of the scheme could be impeded by the wrong positioning of the capturing device. Nevertheless, experiment showed that the scheme could provide a stronger protection of sensitive information than the single security level authentication scheme.

    KEYWORDS:

    Authentication, Access control, Information security, Principal Component Analysis, Face Recognition.

    » Received: 31 January 2019
    » Accepted: 24 March 2019

    157 - 163

    imag/pdf.ico.gif PDF

    » Assessment of Student’s Performance in Tertiary Education in Nigeria using Statistical Quality Control


    » Olajide Johnson Taiwo and Ayansola Olufemi A.

    ABSTRACT:

    This paper focuses on monitoring the performance process in tertiary education in Nigeria using The Polytechnic, Ibadan as a case study to examine if the institution, students and lecturers meet set academic standard or not. The number of students taken each of the eighteen 100 level courses with their corresponding number of failure were extracted from the concerned department and the proportions of defectives (failures) were obtained. P-chart is used to monitor the failure rate using excel. The analysis was carried out using SPSS software with Control Limit (CL), Upper Control Limit (UCL) and Lower Control Limit (LCL) of 0.0802, 0.1562 and 0.0042, respectively. The chart revealed that the failure rate is out of statistical control. Based on these findings, it was noticed that the contents of some of these courses are School certificate syllabus which students must have done in secondary school but despite this; the failure rate in some courses are high. This indicates that the performances of student are not encouraging in some of the courses offered which might be caused by series of reasons.

    KEYWORDS:

    Control limit, failure rate, non-conformable, proportion, quality control.

    » Received: 22 February 2019
    » Accepted: 2 April 2019

    164 - 168

    imag/pdf.ico.gif PDF

    » Intrusion Detection using Deep Learning Technique: A Review


    » Olatunde Iyaniwura, Festus Ayetiran and Alaba T. Owoseni

    ABSTRACT:

    This work is a survey paper that represents the review of the current research in deep learning. Developing a flexible and efficient NIDS for unforeseen and unpredictable attacks, deep learning based provides more efficient result. Shallow learners mostly depend on the features used for creating the prediction model. On the other hand, deep learners have the potential to extract better representations from the raw data to create much better models. The self-taught learning algorithms work best when they are allowed to learn rich models using large amounts of unlabeled data (millions of examples). The STL model could be implemented in an environment where data is unclean. Though, an important consideration is to recognize that the best practice for applying any model, would be to ensure that the data is clean. Deep learning give room for the elimination of manual work done by system administrator.

    KEYWORDS:

    Intrusion Detection, shallow learning deep learning Self-Taught Learning Encoder.

    » Received: 21 January 2019
    » Accepted: 24 March 2019

    169 - .

    imag/pdf.ico.gif PDF

    » Robustness of Bootstrap Estimators to Influential Observations


    » T. P. Ogundunmade and A. A. Adepoju

    ABSTRACT:

    The existence of outliers in the original sample may create problem to the classical bootstrapping estimates. There is possibility that the bootstrap samples may contain more outliers than the original dataset since the bootstrap re-sampling is with replacement. Consequently, the outliers will have an unduly effect on the classical bootstrap mean and standard deviation. This study examined the performance of three bootstrap estimators namely: Case Bootstrapping, Fixed-X Bootstrapping and Residual Resampling method under different levels of outliers. The objective was to determine which of these bootstrap methods is resistant to the presence of outliers in the data. Three levels of outliers; 5%, 10% and 20% were considered and injected into sample sizes, N = 20, 30, 50, and 100 each replicated 1000 and 5000 times respectively. The performances of the bootstrap methods were evaluated using the mean, standard error, absolute bias, mean square error and the root mean square error. The results showed that the Residual resampling Bootstrap performed better than the other two estimators.

    KEYWORDS:

    Bootstrapping, case bootstrapping, Fixed-X Bootstrapping.

    » Received: 10 March 2019
    » Accepted: 7 May 2019

    179 - 188

    imag/pdf.ico.gif PDF

    » Reconciliation of Economic Data with Irregular Benchmarks: A New Approach


    » Isaac O. Ajao, Femi J. Ayoola and Joseph O. Iyaniwura

    ABSTRACT:

    Benchmarking problem arises when the sum of sub-annual totals of a particular economic variable from a source are not equal to the annual totals from another source. As a result, there is a need for reconciliation of the two datasets from different sources for such data to be reliably used for research purposes. Earlier research showed that Proportional First Difference (PFD) was found to be the best method for solving benchmarking problem in indicator series when compared with other methods. In this paper, we proffered an alternative solution to the benchmarking problem. This proposed benchmarking method is based on the generalized least squares regression model which is grounded on a statistical model that allows for the presence of bias and autocorrelated errors in the indicator, and the presence of non-binding benchmarks. Using the simulated quarterly series by Dagum and Cholette (2006), the results show that the method exactly preserves the quarter-to-quarter movement, a residual adjustment is made, and the final benchmarked series converges to the bias-corrected series at the end. None of these desirable features was exhibited by the existing methods of solving benchmarking problem.

    KEYWORDS:

    Bias-corrected, Autocorrelated errors, Benchmarking, Growth rate, indicator.

    » Received: 14 February 2019
    » Accepted: 7 May 2019

    . - .

    imag/pdf.ico.gif PDF

    » Effecting Secure Mutual Agreement in a Mutually-Suspicious Vicious Party


    » Odule Tola John, Adesina Ademola Olusola and Solanke Olakunle O.

    ABSTRACT:

    In a few situations, the ability to produce legitimate assent is shared among an arrangement of clients or PCs. It isn't advantageous that a solitary individual has the learning of the mystery key and signs every one of the texts at sake of the society. This reality diminishes information security and dependability. An answer to take care of these issues is to circulate the responsibility of assenting among P={p1,p2,Λ,pn} an arrangement of 'λ players, where a monotone expanding group of Γ⊂2P qualified subsets must be characterised. In our plan, we have proposed an assent plan that is secure even within the sight of an enemy who defiles and controls the conduct of some subset of Λ⊂2P exploitative players. Our plan expects a latent foe structure that is monotone perishing in which the foe structure Λ is controlled by its premise Λ0={B∈Λ|B∪{Pi}∉Λ,for all Pi∉B}. Our proposed plan is secure both in the computation and information theoretic models.

    KEYWORDS:

    Threshold mystery sharing, distributed signature, information security, passive adversary model, perfect security.

    » Received: 23 February 2019
    » Accepted: 5 May 2019

    . - .

    imag/pdf.ico.gif PDF

  • 
    » www.fcia.tibiscus.ro |  » www.fcia.tibiscus.ro/ccsitia/ |  » www.geogebra.tibiscus.ro |  » www.tibiscus.ro |  © 2003-2019, Last update: 18.05.2019 / 09:30