Journal of Al-Qadisiyah for Computer Science and Mathematics

1

Mathematical Modeling and Statistical prediction of the spread of the Covid-19 Epidemic in Iraq with

Gorgees Shaheed Mohammad

Pages: 1-14 English

Abstract

In this research, a mathematical model was used to find epidemiological predictions for the
coronavirus epidemic in Iraq to control and prevent the epidemic. Where the data of the
reported cases until Nov. 21, 2020 from the Iraqi Ministry of Health and the Iraqi Public
Health Committee were used, where the parameters of the form were determined and based
on determining the number of reported cases, the unreported cases are determined and then
the model is used to project the epidemic forward with appropriate levels of Iraqi Public
Health Authority interventions. The model\\\\\\\\\\\\'s predictions underscore the importance of major
public health interventions in controlling COVID-19 epidemics. Whereas, the research work
strategy was adopted by Liu et al (2020). The simulation was performed with R.

2

Congestion Management in MPLS Network Based on Hybrid Particle Swarm Algorithm

Samar Taha Yousif

Pages: 109-115 English

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Abstract

To minimize the network congestion problem, a multi-constraint optimization mathematical model is established and a hybrid particle swarm algorithm based on the Tabu search algorithm is proposed. The algorithm integrates Tabu search into particle swarm algorithm, which can prevent the algorithm from falling into the local optimal solution, and gives a better initial individual for Tabu search, so it can speed up the algorithm convergence andimprove the quality of the solution. The simulation was done using Matlab and the results show that the optimization algorithm reduces the end-to-end delay and packet loss rate, thereby avoiding network congestion and optimizing the utilization of networkresources

Keywords

Network congestion; Multiprotocol Label Switc

3

Intelligent Software Agent in E-Health System: - Review

Abir Hussein jabber, Prof. Dr. Ali Obied

Pages: 99-108 English

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Abstract

The field of medical care is characterized by complexity, dynamism, and variety. Different
challenges occur in healthcare (increasing cost of care, population growth and lack of
caregivers). For that, intelligent applications with Agent Technology can provide better health
care than the conventional medical system. In fact, the characteristics of Intelligent Agents
(proactivity, sociability, autonomy) are a good choice to solve many problems in this regard,
since the key success parameter it was the natural mapping for real-life medical issues into
electronic life. The design of Multi-agent architecture will effectively paradigm the
heterogeneous, distributed, and independent health treatment systems. The multi-agent
systems have been used of individual healthcare processes such as a knowledge-depend
medical system for complex, multi-parties depend on systems such as a total healthcare
where The applied from multi-agent systems(mas) in health treatment sector also has been
opened avenues for discovering innovative applications such as socialized and personalized
health care models. Therefore, when creating an agent-depend simulation, one of the most
important questions to consider is how to model the decision decision-making operations for
the agents in the model. In the literature, the wide There are a variety of agent decisionmaking models available, all of them motivated by multiple goals and study questions. The
research explains the advances made so far in the development of regulatory frameworks for
deliberative autonomous software in a partially observable environment. In this paper, we
display an overview for some of an agent that has attracted attention (Beliefs Desires and
Intentions (BDI) and its derivatives such as Extensible Beliefs Desires and Intentions (EBDI),
Beliefs-Desires-Obligations-Intentions (BOID)).).

Keywords

Beliefs Desires and Intentions (BDI) electronic health Extensible Beliefs Desires and Intentions (EB Multi Multi-Agent System (MAS) Software Agents

4

An Effective Color Image Detecting Method for Colorful and Physical Images

Ali Hasan Ali, Mohammed RASHEED, Suha SHIHAB, Taha RASHID, Saad hussein Abed Hamad

Pages: 88-98 English

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Abstract

In this paper, an effective color detection technique is presented. Color detection techniques are widely used in the image processing area, especially for measuring the amount of a certain color after some modifications on an image to check wither it gets enhanced or not. We test this technique on images that were carried out in a physical laboratory during some experiments. Moreover, we will use this technique to calculate the percentage of the red color before and after “red-eye” removal process. Finally, a comparison of these techniqueswith some other methods has been achieved.

Keywords

color image compressed image mathematical methods MATLAB program physical image

5

A Modified Heat Diffusion Based Method for Enhancing Physical Images

Ali Hasan Al, Mohammed RASHEED, Suha SHIHAB, Taha RASHID, Saad Hussin Abed Hamad

Pages: 77-87 English

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Abstract

In this paper, we present a new denoising technique based on a modification on the heat
equation. This method is mainly presented to enhance some physical images that were
carried out in a physical laboratory during some experiments. A one-dimensional example
using a vector and a two-dimensional example using matrices are showed in this paper to
clarify how applying the modified way of solution on a heat diffusion equation can remove
some existing defects in these images. In addition, we are going to make a model for a heat
diffusion in two directions x and y and assemble letters from components in matrices to apply
our experiment on some other different colorful and greyscale images. Finally, we calculate
PSNR values for our method and compare them with some research methods to conclude that
enhancing images by removing undesired defects can be done by the proposed method.

Keywords

color image compressed image mathematical methods MATLAB program physical image

6

A Review Of Skin Cancer Detection

Muhammed Kadhim Hussein, Jane J. Stephan

Pages: 67-76 English

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Abstract

It can be said that the most common or common health disease is a skin disease. skin
diseases are often determined by doctors\' experience and sample results (skin biopsy),
and it is certainly a time-consuming process. Therefore, there has become an urgent
need for an automated system (computer) to identify and discover skin diseases through
images with very high accuracy, with fewer doctors or experts in this purview.
Identification and classification of the skin disease through the feature/s and
characteristics that were taken from these images. Since skin diseases have very similar
optical properties And therefore add a lot more challenges to choosing the useful
feature/s of the image. This means that the accurate analysis of these skin diseases
through images will have a good prognosis, short diagnostic time, and speed in
diagnosis, and thus it will facilitate and cost-effective treatment. This paper provides an
overview or study on the different methods and techniques for identifying and
classifying skin diseases, which are traditional technology and technology based on deep
learning.

Keywords

classification CNN deep learning features lesions Skin diseases Technology

7

Optimum Allocation of Graduation Projects: Survey and Proposed Solution

Murtadha A.Gani, Dr.Huda Kadhim tayyeh, Dr. Rula A. Hamid

Pages: 58-66 English

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Abstract

The final year project is an important part of obtaining a Graduation certificate in scientific and engineering universities. To ensure high quality in the completion of graduation projects, the project allocation process must be efficient and fair among students. Optimum allocation of graduation projects ensures a great experience for students and exceptional learning of new technologies from that projects, which may contribute to expanding students' future horizons. In this work, we review a wide range of research for the allocation project strategies that are used in various universities, in addition to the factors that have an effective impact on the selection of graduation projects by students. We also highlight the problems that these strategies tried to solve, in addition to those that they failed to solve.Finally, we present a modern idea to overcome too many problems that were presented in the literature discussion where the proposed system is based mainly on the student development level during the study stage.

Keywords

Optimumapproachfor project allocation student-project allocation survey traditionalallocation problems

8

A Novel Blurring and Sharpening Techniques Using Different Images Based on Heat Equations

Ali Hasan Ali, Mohammed RASHEED, Suha SHIHAB, Taha RASHID, Saad Abed Hamad

Pages: 45-57 English

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Abstract

This paper is dedicated to show the practical part of the heat equation and its influence on images from real-life. Examples of one dimension and two dimensions are given in this paper to show how applying the forward and backward time steps on an image that is inserted as a pixel matrix in the well-known heat equation with certain parameters can make the blurring, noising, and sharpening effects. In addition, we are going to make a model for a heat diffusion in two directions x and y and assemble letters from components in matrices to apply our experiment on some medical and colorful images. Finally, we conclude that undesired details in an image can be removed by using the proposed equation.

Keywords

color image compressed image mathematical methods MATLAB program physical image

9

Survey on Crime Analysis Using Data Mining Based on Mobile Platforms

Fatima Shaker Hussain, Abbas Fadhil Aljuboori

Pages: 36-44 English

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Abstract

With a large rise in crime globally, there is anecessity to analysis crime data to bring down the rate of crime. This encourages the police and people to occupy the required measures and more effectively restricting the crimes.Crime analysis and spatial analysis using Geographic Information System(GIS) tools such as hot spot generation, zoning, navigation and crime profiling, detection of mobile locations and various web-based applications are well known and can be used scientifically for citizens advancement, while crime prediction and control can be used effectively. Crime data analysts will enable the law enforcement officials to speed up the crime resolution process. We can analyze previously unknown, helpful information from unstructured data by using the theory of data mining.The purpose of this work is to perform a survey on the crime analysis by using several data mining techniques that has been applied towards criminal activities over the years to be a valuable guide to young researchers that are interested in this field.

Keywords

Crime analysis Data mining Mobile Platform

10

Deep Learning Based On Different Methods For Text Summary : A Survey

Saja Naeem Turky, Ahmed Sabah Ahmed AL-Jumaili, Rajaa K. Hasoun

Pages: 26-35 English

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Abstract

Abstract—in today's rapidly growing information age, text summary has become a critical
and important instrument for help understanding text information. it is really hard for human
beings to physically summarize huge textual documents also there is an abundance of text
content available online. text summarization is an active research field that works on
compressing large pieces of text into smaller texts that preserve relevant information. text
summary classified as extractive or abstractive. methods of extractive summarization
working by deciding important text sentences and choosing them as a summary. that method
based only on sentences from the source text. methods of abstractive summarization aim to
paraphrase important information in a new form like that of humans. text summary can be
achieved using different deep learning techniques, such as: fuzzy logic, Convolutional Neural
(CNN), transformers, neural network, reinforcement learning, etc. in the past three years, the
research trend in text summarization has also undergone a slight change, where new trends
have appeared that are trends that lead to enhancement, how to improve the efficiency of text
summarization to obtain high accuracy. we have made several attempts in this paper to
discuss the various techniques used on the basis of deep learning for text summary in these
years and observe the new trends in the field of deep learning.

Keywords

Abstractive Summary Extractive Summary Text Summary

11

The Application of Color Image Compression Based on Discrete Wavelet Transform

Asma Abdulelah Abdulrahman, Saad Hussein Abed Hamad, Mohammed RASHEED, Suha SHIHAB, Taha RASHID, Mohammed Thamer Kamil Alkhazraji

Pages: 18-25 English

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Abstract

The rapid progress in technology has been the use of color images that contain very large data
and to transfer large information without loss of image information led to the creation of an
important tool used to compress the color image, which is the modern wavelengths derived
from polynomials, depending on the influencers (s,r) responsible for expansion, contraction
and compensation in The parent function for obtaining the functions at each point depends on
the influences responsible for the formation of the wavelet functions from which we derive
the appropriate filter responsible for analyzing the color image and divide it into parameters
that divide into two parts Approach and Details. In this work, new wavelets were used in
order to find the exact solution to a number of important numerical problems in the field of
mathematics. These methods are tested in the field of multi resolution analysis (MRA) for
using in the field of image processing where it was used in the analysis and compression of
the color image, calculating the most important image quality Mean Square Error (MSE) and
Peak signal-to-noise ratio (PSNR). Standards and comparing the results with the results
obtained using standard wavelets used in the Matlab program that was used in this work. In
physics, the images of atoms were taken, random images were designed and designed with a
size (256 x256) that were processed using modern wavelets.

Keywords

color image compressed image mathematical methods MATLAB program physical image

12

Deep Learning In Wireless Sensor Network

Pages: 11-17

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Abstract

In the era of the development of the Internet of Things, how collecting data from sensors
located everywhere in society is an important issue, and in wireless sensor networks,
distributed processing technology for deep learning using advanced computing and
coordination between peripherals has attracted attention. In this study, a new architecture is
proposed for the distributed implementation of deep learning in a wireless sensor network
where the distributed application divides the middle layer of deep learning into each sensor
with the purpose of reducing traffic and reducing the load, in order to improve data
processing speed, but this is done by increasing the number of connections and energy
consumption, and in order to evaluate the effectiveness of the proposed method, been
compared the amount of data communication and accuracy of learning between learning by
using Convolutional Neural Network (CNN) normally and the distributed learning, and this
was done using the Raspberry Pi open-source hardware platform, the system that is low-cost
and highly scalable in terms of sensor devices type and the number of sensor nodes, which
makes them well suited to a wide range of applications related to environmental monitoring,
the sensors device have been connected to hardware and software design. Some software
components, such as operating systems, sensor/hardware drivers, may need development. In
the proposed method, the amount of data is large because the result in the middle of the
computation processing is sent and it can be predicted that the total computation processing
time will be reduced because the computational processing handled by each node will be
reduced by section processing. The concentration of energy consumption can also be
suppressed because the proposed method achieves decentralization compared to performing
all calculations with a single sensor.

Keywords

CNN Deep Learning Processing WSN

13

Parameters Determination of PV Cell Using Computation Methods

Mohammed RASHEED, Suha SHIHAB, Taha RASHID, Tarek Diab Ounis

Pages: 1-9

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Keywords

comparison equivalent circuit Improved Newton-Horner algorithm Newton's algorithm roots of the equatio

14

Linear Programming Method Application in a Solar Cell

Rasha Jalal Mitlif, Mohammed RASHEED

Pages: 10-21

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15

Optimal Parameters Estimation of Silicon Solar Cell Using Fuzzy Logic: Analytical Method

Maiada Nazar Mohammedali, Mohammed RASHEED, Suha SHIHAB, Taha RASHID, Saad Abed Hamad

Pages: 22-33 English

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16

Evaluation and Determination of the Parameters of a Photovoltaic Cell by an Iterative Method

Mohammed RASHEED, Osama Alabdali

Pages: 34-42

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17

Determination of PV Model Parameters Using Bisection and Secant Methods

Mohammed RASHEED

Pages: 43-54

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18

On Some Properties in Fuzzy Metric Space

Raghad I. Sabri, Osama Alabdali, Suha SHIHAB, Taha RASHID

Pages: 55-61

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19

Fuzzy Set Technique Application: The Solar Cell

Maiada Nazar Mohammedali

Pages: 62-69

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20

Determining the Voltage and Power of a Single Diode PV Cell in Matlab by Iteration

Mohammed RASHEED

Pages: 70-78

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21

Numerical Simulation of Photovoltaic Cell

Mohammed RASHEED, Suha SHIHAB, Taha RASHID

Pages: 79-86

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Abstract

in this paper, we established some mathematical methods in order to solve real zeroes of nonlinear equation for a single diode model for a PV cell without second derivatives for the function using Improved Double False Position method as called (Illinois algorithm) which is mainly due to some scholars and Ford (1995). We applied the new proposed method with two-step iterative method to solve test example in order to assess their validity and accuracy. The results obtained reveals that the modified method is accurate and efficient with a lesser number of iterations compared with the other standard methods such as NRM.

22

Two Numerical Algorithms for Solving Nonlinear Equation of Solar Cell

Mohammed RASHEED

Pages: 87-94

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23

Some Step Iterative Method for Finding Roots of a Nonlinear Equation

Mohammed RASHEED, Suha SHIHAB

Pages: 95-102

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24

Methods For Estimating

Emad Sh. M. Haddad, Feras Sh. M. Batah

Pages: 103-109

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25

Bounded Linear Transformations in G-Fuzzy Normed Linear Space

Mayada N. Mohammedali, Raghad I. Sabri

Pages: 110-119 English

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26

Some Topological Indices and (Hosoya and Schultz)Polynomialof Subgroup intersectiongraph of a group풁풓

Alaa J.Nawaf, Akram S.Mohammad

Pages: 120-130 English

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27

The Single Diode Model for PV Characteristics Using Electrical Circuit

Mohammed RASHEED, Suha SHIHAB, Taha RASHID

Pages: 131-138

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28

Estimation of Single-Diode Model Parameters of PV Cell

Mohammed RASHEED

Pages: 139-146

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29

Extraction of a Photovoltaic Cell's Single-Diode Model Parameters from Equivalent Circuit

Mohammed RASHEED, Suha SHIHAB

Pages: 147-154

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30

Duo Submodule and 푪ퟏ-module

Abdulsalam F. Talak, Majid Mohammed Abed

Pages: 155-160

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31

Noetherian, Artinian Regular Modules and Injective Property

Fawzi N. Hamad, Majid Mohammed Abed

Pages: 161-167

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32

On NM-Hollow Modules

Firas N. Hameed, Karim S. Kalaf

Pages: 168-172

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33

An Accurate and Fast Computational Algorithm Based on Hybrid Methods

Mohammed RASHEED, Suha SHIHAB, Taha RASHID

Pages: 173-183

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34

Comparison Study BetweenClassic Chord andInverse Quadratic Interpolation Methods

Mohammed RASHEED

Pages: 184-192

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35

Comparison Study BetweenClassic Chord andInverse Quadratic Interpolation Methods

Mohammed RASHEED

Pages: 193-200

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36

Numerical Solving for Nonlinear Problems Using Iterative Techniques

Mohammed RASHEED, Suha SHIHAB

Pages: 201-209

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37

Predictor-CorrectorSolutions for Nonlinear Equations

Mohammed RASHEED, Suha SHIHAB, Taha RASHID , Yaseen Hadi Ali

Pages: 210-218

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38

Mean-Discrete Algorithm for Individuality Representation

Bayan Omar Mohammed

Pages: 1-10

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