"Annals. Computer Science Series" Journal
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During August 2019, we are on a summer vacation. We are working to update the current volume but at low speed. Sorry for the inconvenience!


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Updating:
Tiberiu Marius Karnyanszky
Editor-in-Chief

Annals. Computer Science Series
Tome 17, Fasc. 2


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


Next papers follows the review process for the Journal inclusion:

  • [ARR: 07.10.2017] Muhsin Hassanu Saleh, Mukhtar Bello - Online Hospital Management System
  • [ARR: 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: 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: 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: 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: 28.05.2019] Marufat B. Oyedeji - Investigation of Family Planning as a Function of Women Lifespan using a Multiple Regression Approach
  • [ARR: 02.06.2019] Kolawole M.K, Olayowola M.O. - Simulation Of The Effect Of Disease Transmission Coefficient On The Susceptible-Exposed-Infected-Recovered (SEIR) Epidemic Model Using Variational Iteration Method
  • [ARR: 06.06.2019] Abidoye A. O., Adewara, A. A. - Testing for Equality of Means with Equal and Unequal Variances
  • [ARR: 04.07.2019] Daniel Dauda Wisdom - An Efficient Automated Revenue Generation Database Management System
  • [ARR: 10.07.2019] K.A. Muhammed, O. S. Obafemi, I. O. Ajao - Comparison of Forecasting Methods using Nigeria Consumer Price Index Data
  • [ARR: 22.07.2019] Muhammed Sulyman, Shamsuddeen Idris Yaradua, Aduralere Abimbola Julius - Assessment of Relationship of Gender, Age Groups and Type of Schools in HIV/AIDS Awareness Among Secondary School Students
  • [ARR: 24.07.2019] Sikiru Adetona Suleiman, Amos Adedayo Adewara - Efficient New Ratio Estimators of Population Mean using Product of Sample Size and Conventional Location Parameters
  • [ARR: 31.07.2019] J. O. Hamed, G. I. Agbaje, O. R. Oladosu, A. Labija, B. A. Olaniyi - Estimation of Optimal Atmospheric Condition For WE-FM Radio Station, Abuja

    Next papers follows the Journal publication process:

  • [ACK: 05.04.2019] Odule Tola John, Adesina Ademola Olusola, Solanke Olakunle O. - Effecting Secure Mutual Agreement in a Mutually-Suspicious Vicious Party
  • [ACK: 28.05.2019] Ayoola F. J., Emmanuel C. Ezeja - Cointegration Analysis on Unemployment and Macroeconomic Variables among selected African Countries (A Dynamic Panel Approach)
  • [ACK: 12.06.2019] S. O. Yusuff, I. A. Osinuga, O. J. Adeniran, S. A. Onashoga - Robust Three-step Broyden-like Algorithms for Functions of Several Variables
  • [ACK: 14.06.2019] Alaba T. Owoseni, Julius Oluwadare, Oladipupo Kehinde Famurewa - An Improved K-Means Clustering Technique using Weighted Mean Subtractive Approach
  • [ACK: 14.06.2019] K. A. Muhammed, F. A. Bolariwa, I. O. Ajao - Exponential Smoothing Methods in Forecasting Nigeria Consumer Price Index
  • [ACK: 07.07.2019] 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
  • [ACK: 12.07.2019] Oladotun Olusola Okediran - An E-Agriculture Framework for Inclusive Agricultural Value Chains in Nigeria
  • [ACK: 23.07.2019] Akinrotimi, Akinyemi Omololu; Mabayoje, Modinat Abolore - A Neural Network Approach in Performing Non-Invasive Analysis of Muscle Impulses for Hand Gesture Recognition
  • [ACK: 23.07.2019] M. K. Kolawole, I. A. Alaje - Numerical Solution of Integro Differential Volterra Equation using Taylor’s Series Expansion Method
  • [ACK: 23.07.2019] Egburonu O. D., Abidoye A. O. - Application of Faulkenberry (2018) Bayes Factor to a Balanced Two Way Anova with Random Effects
  • [ACK: 23.07.2019] S. A. Suleiman, A. A. Adewara - Efficiency of some Modified Ratio Type Estimators using product of Sample size and parameters of auxiliary variable for estimating Population Mean
  • [ACK: 23.07.2019] Francisco Regis Vieira Alves, Paula Maria Machado Cruz Catarino - Discovering Theorems about the Gaussian Mersenne Sequence with the Maple´s Help
  • [ACK: 25.07.2019] F. E. Amoyedo, A. A. Adewara - Improved Modified Ratio Estimator for Estimating Population Mean in Double Sampling Using Information on Auxiliary Attribute
  • [ACK: 25.07.2019] Abdullah K-K. A, Sodimu S. M., Odule T. J., Solanke O. O. - A Multiclass Sentiment Classification using Skip-Gram Embedding with Support Vector Machine-Stochastic Gradient Descent (SVM-SGD)
  • [ACK: 26.07.2019] 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
  • [ACK: 01.08.2019] Adesupo A Akinrefon, Olusola A. Adejumo - Modeling Tuberculosis Transmission in South-West Nigeria

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

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

    ABSTRACT:

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

    KEYWORDS:

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

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

    9 - 17

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

    » Mohammed Babatunde Ibrahim and Kazeem Alagbe Gbolagade

    ABSTRACT:

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

    KEYWORDS:

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

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

    18 - 23

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    » Metacognition in REACT Teaching Strategy

    » Nguyen Thi Huong Lan

    ABSTRACT:

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

    KEYWORDS:

    Teaching strategy, metacognition, REACT Strategy.

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

    24 - 29

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    » Transport Location Inference Drawing using Global Positioning System

    » K.Sreekala and K. Sai Jeevan Reddy

    ABSTRACT:

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

    KEYWORDS:

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

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

    30 - 35

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

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

    ABSTRACT:

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

    KEYWORDS:

    Permutation Pattern, Permutation Statistics and Graph.

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

    36 - 38

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    » Development of a mobile application for swazi entertainment events

    » Mashwama Petros, Fashoto Stephen G. and Mabuza Lindelwa

    ABSTRACT:

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

    KEYWORDS:

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

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

    39 - 49

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    » Spotting Skin Disorder using Template Matching

    » K. Sreekala and K. Sree Mounika

    ABSTRACT:

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

    KEYWORDS:

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

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

    42 - 46

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

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

    ABSTRACT:

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

    KEYWORDS:

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

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

    47 - 51

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

    » Olabode A. O. and Fenwa O. D.

    ABSTRACT:

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

    KEYWORDS:

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

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

    52 - 55

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    » A Ear and Tongue Based Multimodal Access Control System

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

    ABSTRACT:

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

    KEYWORDS:

    Multimodal, PCA, SOFM, Fusion, Digital Camera.

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

    . - .

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

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

    ABSTRACT:

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

    KEYWORDS:

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

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

    . - .

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    » Modification of Ratio Estimator for Population Mean

    » J.O. Muili and A. Audu

    ABSTRACT:

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

    KEYWORDS:

    Auxiliary Variable, Efficiency, Mean Square Error.

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

    . - .

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