Journal of Applied Computer Science & Mathematics

Journal of Applied Computer Science & Mathematics

Basic info

  • Publisher: Editura Universitatii Stefan cel Mare
  • Country of publisher: romania
  • Date added to EuroPub: 2019/Nov/13

Subject and more

  • LCC Subject Category: Computer and Information Science, Mathematics, Education, Information Theory
  • Publisher's keywords: Applied Mathematics, Computer Science, Algorithms, Information Security
  • Language of fulltext: english
  • Time from submission to publication: 12 weeks

Publication charges

  • Article Processing Charges (APCs): Yes, $35
  • Submission charges: No
  • Waiver policy for charges? No

Open access & licensing

  • Type of License: CC BY-SA
  • License terms
  • Open Access Statement: Yes
  • Year open access content began: 2007
  • Does the author retain unrestricted copyright? False
  • Does the author retain publishing rights? False

Best practice polices

  • Permanent article identifier: DOI
  • Content digitally archived in: Nopolicy
  • Deposit policy registered in: None

This journal has '34' articles

Application of Stand-PSO Technique for Optimization Cameras’ 2D Dispositions in a MoCap system

Application of Stand-PSO Technique for Optimization Cameras’ 2D Dispositions in a MoCap system

Authors: Salim ABDESSELAM, Abir BETKA, Abida TOUMI, 4Zine-Eddine BAARIR
Year: 2016, Volume: 10, Number: 21
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Abstract

In this paper, a detailed study of the Particle Swarm Optimization (PSO) technique is given in its standard version to solve a network camera placement problem and to ensure the coverage of a reflector point by, at least, two cameras in each frame of a motion sequence of an object in movement in a MoCap (Motion Capture) system. Solving the problem is by optimizing the extrinsic camera parameters for the whole network. The interest of this study is to determine the advantages and limits of this metaheuristic. Simulation results for 2D scenarios showed the effectiveness of this technique when considering all continuous space and the presence of obstacles.

Keywords: MoCap, cameras placement, optimization, metaheuristic, PSO
Framework for Urdu News Headlines Classification

Framework for Urdu News Headlines Classification

Authors: AHMED Kashif, ALI Mubashir, Khalid Shehzad, Muhammad KAMRAN
Year: 2016, Volume: 10, Number: 21
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Abstract

Automatic text classification has great significance in the field of text mining and plays a pivotal role in areas such as spam filtering, news classification, noise reduction etc. It is evident from the literature that there is ample of research conducted for classifying text documents e.g. English news classification, Persian text classification etc. but there is no copious amount of work related to short Urdu text or Urdu news headlines classification. Therefore, after examining various existing news classification methodologies we propose an SVM based framework in this paper for classification of Urdu news headlines. This approach classifies Urdu news based on headlines in their respective pre-defined categories by utilizing their feature vector’s maximum indexes. This proposed system is compared with existing state-of-the art techniques.

Keywords: Urdu News Classification, Feature Vector, SVM
Improvement of Gregory’s Formula Using Artificial Bee Colony Algorithm

Improvement of Gregory’s Formula Using Artificial Bee Colony Algorithm

Authors: S. AICHOUCHE, N. KHELIL, L. DJEROU
Year: 2016, Volume: 10, Number: 21
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Abstract

Solving numerical integration is an important question in scientific calculations and engineering. Gregory’s method is among the very first quadrature formulas ever described in the literature, dating back to James Gregory (16381675). In this article we prove that the Gregory Formula (G ) can be optimized by minimizing some of their coefficients in the remainder term by Artificial Bee Colony (ABC) Algorithm. Experimental tests prove that obtained Formula can be rendered a powerful formula for library use.

Keywords: Numerical integration, Gregory Formula (G), Artificial Bee Colony (ABC) Algorithm
Developing a Mathematical Model to Estimate the Intensity of the Global Radiation

Developing a Mathematical Model to Estimate the Intensity of the Global Radiation

Authors: CHUNPANG Poramate, LAOSUWAN Teerawong
Year: 2016, Volume: 10, Number: 21
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Abstract

–This research aimed to create an empirical mathematical model to estimate the average monthly of total daily radiation of the global radiation in the middle of northeast Thailand. The model showed the ratio of the monthly average of daily radiation on the radiation outside the Earth's atmosphere which contains cloud index: n, ozone: l, perceptible water: w, and visibility: VIS, where: the value of n came from the data from meteorological satellites MTSAT-2, the value of l came from the data from AURA satellite, the value of w was calculated from temperature and humidity of the air, and the value of VIS came from the measurements from meteorological stations. For testing the performance of the model, the researchers calculated the average monthly of total daily radiation intensity at Maha Sarakham, Roi Et, Khon Kaen and Kalasin provincial meteorological stations. Then, the results were compared with the measured values. The comparison showed that the results from the calculation and measurement are consistent in the good standing. The Root Mean Square Difference value (RMSD) of the monthly average of total daily radiation intensity was between 5.25 to 13.82%. On the other hand, the Mean Bias Difference value (MBD) was negative within the range of -0.99 to -13.47%.

Keywords: Mathematical model, Meteorological satellites, Global radiation.
Template Matching of Colored Image Based on Quaternion Fourier Transform and Image Pyramid Techniques

Template Matching of Colored Image Based on Quaternion Fourier Transform and Image Pyramid Techniques

Authors: KHALIL M.I.
Year: 2016, Volume: 10, Number: 21
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Abstract

–Template matching method is one of the most significant object recognition techniques and it has many applications in the field of digital signal processing and image processing and it is the base for object tracking in computer vision field. The traditional template matching by correlation is performed between gray template image w and the candidate gray image f where the template’s position is to be determined in the candidate image. This task can be achieved by measuring the similarity between the template image and the candidate image to identify and localize the existence of object instances within an image. When applying this method to colored image, the image must be converted to a gray one or decomposed to its RGB components to be processed separately. The current paper aims to apply the template matching technique to colored images via generating the quaternion Fourier transforms of both the template and candidate colored image and hence performing the cross-correlation between those transforms. Moreover, this approach is improved by representing both the image and template as pyramid multi-resolution format to reduce the time of processing. The proposed algorithm is implemented and applied to different images and templates using Matlab functions.

Keywords: Image Processing, Quaternion Fourier Transform, Image Pyramid.
Enumerating Hamiltonian Cycles in a Planar Graph Using Combinatorial Cycle Bases

Enumerating Hamiltonian Cycles in a Planar Graph Using Combinatorial Cycle Bases

Authors: MAHARESI Retno
Year: 2016, Volume: 10, Number: 21
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Abstract

sed both for listing and enumerating Hamiltonian cycles contained in a planar graph. Planar cycle bases have a weighted induced graph whose weight values limited to 1. Hence making it was possible used in the Hamiltonian cycle enumeration procedures efficiently. In this paper a Hamiltonian cycle enumeration scheme is obtained through two stages. First, i cycles out of m bases cycles are determined using an appropriate constructed constraint. Secondly, to search all Hamiltonian cycles which are formed by the combination of i bases cycles obtained in the first stage efficiently. This efficiency achieved through a generation a class of objects as the representation of i cycle combinations among m bases cycles. The experiment conducted based on the proposed algorithm successfully generated and enumerated all the Hamiltonian cycles contained in a well-known example of planar graph.

Keywords: enumeration, Hamiltonian cycle, planar, cycle bases, connected graph
Application Of Mathematical Methods For Condition Monitoring Of Oil And Gas Facilities

Application Of Mathematical Methods For Condition Monitoring Of Oil And Gas Facilities

Authors: MANDRYK 1 O. M., OLIJNYK A. P., MOROZ A. A.
Year: 2016, Volume: 10, Number: 21
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Abstract

irections for numerical realization of two-dimensional models in different frames account for environmental heterogeneity of matter distribution have been presented. The schemes allow to measure concentration of substances in real objects through building of functions, modeling various boundary conditions. A software complex for their implementation has been devised and the test findings as well as their analysis have been presented. To model processes which parameters depend on three spatial coordinates, we have suggested numerical schemes for implementing three-dimensional models that are absolutely stable and have the second order of accuracy at all spatial coordinates. Contaminated areas of anthropogenic origin, particularly surface and underground waters as well as soils have been analyzed. The mathematical models of diffusion processes, based on the use of two- and three-dimensional diffusion equations with a wide range of boundary and initial conditions, have been suggested. It is determined that exact solutions prohibit studying of the peculiarities of their behavior depending on the type of boundary conditions, therefore we suggest using numerical solutions.

Keywords: environmental state; anthropogenic factors of impact; mathematical model; diffusion equation.
Study of Complexities in Bouncing Ball Dynamical System

Study of Complexities in Bouncing Ball Dynamical System

Authors: SAHA Lal Mohan, SARMA Til Prasad, DIXIT Purnima
Year: 2016, Volume: 10, Number: 21
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Abstract

Evolutionary motions in a bouncing ball system consisting of a ball having a free fall in the Earth’s gravitational field have been studied systematically. Because of nonlinear form of the equations of motion, evolutions show chaos for certain set of parameters for certain initial conditions. Bifurcation diagram has been drawn to study regular and chaotic behavior. Numerical calculations have been performed to calculate Lyapunov exponents, topological entropies and correlation dimension as measures of complexity. Numerical results are shown through interesting graphics.

Keywords: Chaos, Lyapunov Exponents, Bifurcation, Topological Entropy
Removal of Baseline Wander Noise from Electrocardiogram (ECG) using Fifth-order Spline Interpolation

Removal of Baseline Wander Noise from Electrocardiogram (ECG) using Fifth-order Spline Interpolation

Authors: OJO John A., ADETOYI Temilade B., ADENIRAN Solomon A.
Year: 2016, Volume: 10, Number: 22
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Abstract

Abstract–Baseline wandering can mask some important features of the Electrocardiogram (ECG) signal hence it is desirable to remove this noise for proper analysis and display of the ECG signal. This paper presents the implementation and evaluation of spline interpolation and linear phase FIR filtering methods to remove this noise. Spline interpolation method requires the QRS waves to be first detected and fifth-order (quintic) interpolation technique applied to determine the smoothest curve joining several QRS points. Filtering of the ECG baseline wander was performed by using the difference between the estimated baseline wander and the noisy ECG signal. ECG signals from the MIT-BIT arrhythmia database was used to test the system, while the technique was implemented in MATLAB. The performance of the system was evaluated using Average Power (AP) after filtering, Mean Square Error (MSE) and the Signal to Noise Ratio (SNR). The quintic spline interpolation gave the best performance in terms of AP, MSE and SNR when compared with linear phase filtering and cubic (3rd-order) spline interpolation methods

Keywords: Baseline wander, electrocardiogram, electrocardiography, quintic spline interpolation
Novel Crypting Methods Based on Singular Values Decomposition

Novel Crypting Methods Based on Singular Values Decomposition

Authors: HOUAS Amrane, SOUALHI Sara, MOKHTARI Zouhir
Year: 2016, Volume: 10, Number: 22
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Abstract

With the rapid development of multimedia exchanges, it is necessary to dispose secure systems to protect data and ensure the security of transfer. Two encryption schemes are proposed in this letter where the second is obtained by a simple modification on the first. The construction of the proposed schemes is based on the Singular Values Decomposition (SVD) which allows us to compress data by eliminating a number of singular values. So by these schemes instead to send an encrypted image, we send a set of three or six encrypting images. Both of schemes are applied on (PNG) images in different levels and their efficiency is tested by calculating MSE, NPSR and MAE. Numerical results and the reconstructed images are discussed.

Keywords: Cryptography, Compression, Singular Values Decomposition, Attaks.
Identification of Core Architecture Classes for Object-Oriented Software Systems

Identification of Core Architecture Classes for Object-Oriented Software Systems

Authors: KAMRAN Muhammad, ALI Mubashir, AKBAR Bilal
Year: 2016, Volume: 10, Number: 22
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Abstract

The new member of the software development team needs to understand the software prior making modifications to the unknown system. The core classes that constitute the system architecture can reveal important structural properties of the system. Hence they can be used to catch an initial glimpse of the system during preliminary phase of program comprehension. An efficient approach to pinpoint core architecture classes of object-oriented software has been suggested. A variant of dynamic coupling metric has also been introduced. A comparative evaluation of our approach with the similar experiments performed on the same guinea pig systems is presented. The results demonstrate that precision and recall of our approach matches the best performing approach in other similar experiments.

Keywords: Program Comprehension, Dynamic Coupling, Core Architecture Classes, Most Important Classes.
Data mining techniques for e-learning

Data mining techniques for e-learning

Authors: Irina IONIȚĂ
Year: 2016, Volume: 10, Number: 22
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Abstract

Data Mining (DM), sometimes called Knowledge Discovery in Databases (KDD), is a powerful new technology with great potential to help companies focus on the most important information in the data they have collected via transactions. In the education field, the prediction of students learning performance, detection of inappropriate learning behaviours, and development of student profile may be considered e-learning problems where data mining can successfully solve them. In this paper, the authoress analyses the possibilities to apply data mining techniques in e-learning context, to predict the students’ status referring to their activities and the interest in using advanced tutoring tools. The experiments were performed on the basis of data provided by an e-learning platform (Moodle) regarding the logging parameters of students enrolled on Interactive Tutoring Systems discipline during the second semester of current year.

Keywords: e-learning, data mining, decision, classification, regression
Evaluating Web-based Technologies: The Paradigm of User-centricity

Evaluating Web-based Technologies: The Paradigm of User-centricity

Authors: Bernard Ijesunor AKHIGBE, ADERIBIGBE Stephen Ojo, AFOLABI Babajide Samuel
Year: 2016, Volume: 10, Number: 22
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Abstract

–Web Search Engines (WeSEs) are information systems that demonstrate large scale distributed system capabilities, and are fluxing and dynamic in nature. It is necessary to continually review them. There is need for methods and metrics that are replicable, which outcome will benefit design teams and content experts. Such results could form the basis to arrive at policies as strategies that are translatable to user-requirements for better user interactive experiences when implemented. This paper attempts to investigate the WeSE and propose evaluative metrics. The paper relied on the guide provided by the Web Analytic Framework (WAF) using both the subjective evaluative modelling technique and the reflective approach. These techniques provided the synergistic support the WAF drew on. The WAF was drawn on to interpret the conceptualization of metrics as the process of assigning measures - values to a phenomenon. The results obtained are replicable; they demonstrated significant effectiveness in their applicability in the assessment of distributed information systems like the WeSE. It will be necessary to try the proposed metrics to assess other distributed information systems in a perception-oriented context in order to ascertain their generalizability and replicability.

Keywords: Web search engines, User-centric metrics, Web analytic framework, and Factor analysis.
Dynamic Lyapunov Indicator (DLI): A Perfect indicator for Evolutionary System

Dynamic Lyapunov Indicator (DLI): A Perfect indicator for Evolutionary System

Authors: Sahni Niteesh, SARMA Til Prasad, SAHA Lal Mohan
Year: 2016, Volume: 10, Number: 22
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Abstract

Recently proposed indicators along with their abilities for identification of chaotic motion have been described. These are Fast Lyapunov Exponents (FLI), Smaller Alignment Indices (SALI) and Dynamic Lyapunov Indicator (DLI). Working performances of these indicators are verified for some two and three dimensional systems. For clear identification of regular and chaotic motion, Lyapunov exponents (LCEs) are obtained and represented through plots. Numerical data for indicators FLI, SALI and DLI have been calculated and represented through plots and nature of these plots are analyzed and discussed. This leads to establish the efficiency of these indicators. Investigations made here reveal that the indicator DLI works perfectly and FLI and SALI are not consistent as per their definitions.

Keywords: Attractors, Lyapunov exponents, bifurcation, period adding, chaos indicators
Oscillation Theorems for Fractional Order Neutral Differential Equations

Oscillation Theorems for Fractional Order Neutral Differential Equations

Authors: V. GANESAN, KUMAR M. SATHISH
Year: 2016, Volume: 10, Number: 22
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Abstract

The purpose of this paper is to study the oscillation of the fractional order neutral differential equation 𝑫𝒕 𝜶[𝒓(𝒕)[𝑫𝒕 𝜶(𝒙(𝒕) + 𝒑(𝒕)𝒙(𝝉(𝒕)))]𝜸] + 𝒒(𝒕)𝒙𝜸(𝝈(𝒕)) = 𝟎, where 𝑫𝒕 𝜶(⋅) is a modified Riemann-Liouville derivative. The obtained results are based on the new comparison theorems, which enable us to reduce the oscillatory problem of 𝟐𝜶-order fractional differential equation to the oscillation of the first order equation. The results are easily verified

Keywords: Oscillation; Comparison theorem; Fractional differential equation; Modified Riemann-Liouville derivative

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