"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. 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: 25.07.2017] G. Ojemeri, S. Abdulsalam, J. F. Yayock - Mathematical Modeling of Radiative Heat Source and Magnetic Field Effects on Free Convection Flow Embedded in a Moving Vertical Permeable Plate in the Presence of Porous Medium
  • [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: 21.01.2019] Olatunde Iyaniwura - Intrusion Detection Using Deep Learning Technique: A Review
  • [ARR: 28.01.2019] Muhammed Besiru Jibrin, Usman Abubakar Jauro, Ikeola Suhurat Abdulkadir, Temitope Ayanladun Oyelakun, Oluwabukola Inubiwon Oluwaseyi - Dual Feature Extraction Techniques for Iris Recognition 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: 31.01.2019] M. O. Odim, G. S. Fashoto, V. I. Nsiamuna - A multi-level authentication scheme for controlling access to private and sensitive information of an enterprise
  • [ARR: 05.02.2019] Oloyede I., Hassan I. A. - Evaluation of Accuracy between Item-Based and Matrix Factorization Recommender System
  • [ARR: 13.02.2019] Johnson Gbola Olawuwo, Olabisi O. Ugbebor - Numerical Solutions to the Extinction Problem of Polio Transmission Agents in Nigeria
  • [ARR: 14.02.2019] Isaac O. Ajao; Femi J. Ayoola; Joseph O. Iyaniwura - Reconciliation of Economic Data with Irregular Benchmarks: A New Approach
  • [ARR: 16.02.2019] Yusuf Olatunde, Lawrence Omotosho, Caleb Akanbi - Comparison of Adaboost and Bagging Ensemble Method for Prediction of Heart Disease
  • [ARR: 20.02.2019] 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
  • [ARR: 22.02.2019] Olajide Johnson Taiwo, Ayansola Olufemi A. - Assessment of Student’s Performance in Tertiary Education in Nigeria using Statistical Quality Control
  • [ARR: 23.02.2019] Odule Tola John, Adesina Ademola Olusola, Solanke Olakunle O. - Effecting Secure Mutual Agreement in a Mutually-Suspicious Vicious Party
  • [ARR: 28.02.2019] A.A Ibrahim, Ibrahim Suleiman, Ojonugwa Ejima - On the Addition Modulus of the Aunu Pattern 𝜔𝑖 ∈ 𝐺𝑝; An Investigation of Some Topological Properties
  • [ARR: 28.02.2019] I. Suleiman, O. Ejima - On Some Permutation Statistics of the Aunu Pattern 𝜔𝑖 ∈ 𝐺𝑝
  • [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: 05.03.2019] Tran Trung Tinh, Le Hong Quang - Integrating Art with STEM Education - STEAM Education in Vietnam high schools
  • [ARR: 10.03.2019] T. P. Ogundunmade, A. A. Adepoju - Robustness of Bootstrap Estimators to Influential Observations
  • [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

    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: 29.01.2019] J.O. Muili, A. Audu , R. V. K. Singh, A.B. Odeyale - Improved Variance Estimator using Linear Combination of Tri-mean and Quartile Average
  • [ACK: 29.01.2019] J.O. Muili, A. Audu, R. V. K. Singh, A. Adebiyi - Improved Estimators of Finite Population Variance using Unknown Weight of Auxiliary Variable

    » 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

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    » 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

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    » 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

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    » 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

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    » 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

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    » 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

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    » 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

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    » 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

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    » 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

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    » 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

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    » 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

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


    » Jinmisayo Awokola, Justice Emuoyibofarhe 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

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    » 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

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    » 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

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    » 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 - .

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    » 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

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    » 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

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