Preferred Language
Articles
/
ijs-10428
An Adaptive Automatic Algorithm for Extracting Geological Lineaments in AL-Dibdibba Formation Basin
...Show More Authors

Iraq is one of the Arabian area countries, which considered from the drier areas
on the earth, though it has two main rivers that pass through(Tigris and Euphrates);
it suffers the same problem as them (drought), only the rivers' nearby regions make
use of their water for (domestic, agricultural, and industrial purposes(.
One of the usable solutions is to utilize the groundwater (especially in the desert
regions). Using the Remote Sensing and geographic information system is a rapid
and coast effective techniques, they provide information of large and inaccessible
area within short span for assessing, monitoring, and management of groundwater
resources. In this study, an adaptive algorithm based on Canny edge detector noise
reduction idea and directional filters scheme submitted for lineaments automatically
extraction from LandSat7 (Enhanced Thematic Mapper Plus) ETM+ band 7 data
considering the lineaments spatial and spectral characteristics, yet the algorithm
validation examined using ancillary data of the same interest (Iraq tectonic map and
90m SRTM DEM). The analysis process achieved using Arc GIS 9.3 to recognize
the potential groundwater renewal and/ or accumulative zones in the selected arid to
semi-arid area (AL-Dibdibba formation basin).

View Publication Preview PDF
Quick Preview PDF
Publication Date
Wed Jul 01 2015
Journal Name
Journal Of Engineering
Optimal Location of Static Synchronous Compensator (STATCOM) for IEEE 5-Bus Standard System Using Genetic Algorithm
...Show More Authors

Heuristic approaches are traditionally applied to find the optimal size and optimal location of Flexible AC Transmission Systems (FACTS) devices in power systems. Genetic Algorithm (GA) technique has been applied to solve power engineering optimization problems giving better results than classical methods. This paper shows the application of GA for optimal sizing and allocation of a Static Compensator (STATCOM) in a power system. STATCOM devices used to increase transmission systems capacity and enhance voltage stability by regulate the voltages at its terminal by controlling the amount of reactive power injected into or absorbed from the power system. IEEE 5-bus standard system is used as an example to illustrate the te

... Show More
View Publication Preview PDF
Publication Date
Fri Dec 30 2022
Journal Name
Iraqi Journal Of Science
Diagenetic Features and Porosity Development for Hartha Formation in the Balad and East Baghdad Oil Fields, Central Iraq
...Show More Authors

     The Hartha Formation (age Late Campanian – Early Maastrichtian) is considered an important oil reservoir in Iraq. The petrography and the diagenetic features were determined based on the analyses of 430 thin sections from selected wells within Balad and East Baghdad oil fields, Ba-2, Ba-3, EB-53, Eb-56 and EB-102.

The most important and common diagenesis processes that affect Hartha Formation include Cementation, Neomorphsim, Micrtitization, Dolomitization, Compaction, Dissolution, and Authigenic minerals. This diagenesis deformation on Hartha Formation has overall accentuated the reservoir quality heterogeneity.

The reservoir quality evolution is affected by destruction by grain compaction mechanical and chemica

... Show More
View Publication
Crossref
Publication Date
Tue Jan 30 2024
Journal Name
Iraqi Journal Of Science
Improved Naked Mole-Rat Algorithm Based on Variable Neighborhood Search for the N-Queens Problem
...Show More Authors

     Solving problems via artificial intelligence techniques has widely prevailed in different aspects. Implementing artificial intelligence optimization algorithms for NP-hard problems is still challenging. In this manuscript, we work on implementing the Naked Mole-Rat Algorithm (NMRA) to solve the n-queens problems and overcome the challenge of applying NMRA to a discrete space set. An improvement of NMRA is applied using the aspect of local search in the Variable Neighborhood Search algorithm (VNS) with 2-opt and 3-opt. Introducing the Naked Mole Rat algorithm based on variable neighborhood search (NMRAVNS) to solve N-queens problems with different sizes. Finding the best solution or set of solutions within a plausible amount of t

... Show More
View Publication Preview PDF
Scopus (1)
Crossref (1)
Scopus Crossref
Publication Date
Sun Jan 30 2022
Journal Name
Iraqi Journal Of Science
Modified Blowfish Algorithm for Image Encryption using Multi Keys based on five Sboxes
...Show More Authors

In this paper, a new modification was proposed to enhance the security level in the Blowfish algorithm by increasing the difficulty of cracking the original message which will lead to be safe against unauthorized attack. This algorithm is a symmetric variable-length key, 64-bit block cipher and it is implemented using gray scale images of different sizes. Instead of using a single key in cipher operation, another key (KEY2) of one byte length was used in the proposed algorithm which has taken place in the Feistel function in the first round both in encryption and decryption processes. In addition, the proposed modified Blowfish algorithm uses five Sboxes instead of four; the additional key (KEY2) is selected randomly from additional Sbox

... Show More
View Publication Preview PDF
Publication Date
Wed Jan 01 2020
Journal Name
Journal Of Building Engineering
Development of gravitational search algorithm model for predicting packing density of cementitious pastes
...Show More Authors

View Publication Preview PDF
Scopus (20)
Crossref (9)
Scopus Clarivate Crossref
Publication Date
Mon Jan 01 2024
Journal Name
Aip Conference Proceedings
Modeling and analysis of thermal contrast based on LST algorithm for Baghdad city
...Show More Authors

View Publication
Scopus Crossref
Publication Date
Tue May 01 2012
Journal Name
2012 Second International Conference On Digital Information And Communication Technology And It's Applications (dictap)
The compact Genetic Algorithm for likelihood estimator of first order moving average model
...Show More Authors

Recently Genetic Algorithms (GAs) have frequently been used for optimizing the solution of estimation problems. One of the main advantages of using these techniques is that they require no knowledge or gradient information about the response surface. The poor behavior of genetic algorithms in some problems, sometimes attributed to design operators, has led to the development of other types of algorithms. One such class of these algorithms is compact Genetic Algorithm (cGA), it dramatically reduces the number of bits reqyuired to store the poulation and has a faster convergence speed. In this paper compact Genetic Algorithm is used to optimize the maximum likelihood estimator of the first order moving avergae model MA(1). Simulation results

... Show More
View Publication
Scopus (5)
Scopus Crossref
Publication Date
Sun Mar 01 2015
Journal Name
Journal Of Engineering
Multi-Sites Multi-Variables Forecasting Model for Hydrological Data using Genetic Algorithm Modeling
...Show More Authors

A two time step stochastic multi-variables multi-sites hydrological data forecasting model was developed and verified using a case study. The philosophy of this model is to use the cross-variables correlations, cross-sites correlations and the two steps time lag correlations simultaneously, for estimating the parameters of the model which then are modified using the mutation process of the genetic algorithm optimization model. The objective function that to be minimized is the Akiake test value. The case study is of four variables and three sites. The variables are the monthly air temperature, humidity, precipitation, and evaporation; the sites are Sulaimania, Chwarta, and Penjwin, which are located north Iraq. The model performance was

... Show More
View Publication Preview PDF
Publication Date
Thu Jun 01 2023
Journal Name
Bulletin Of Electrical Engineering And Informatics
A missing data imputation method based on salp swarm algorithm for diabetes disease
...Show More Authors

Most of the medical datasets suffer from missing data, due to the expense of some tests or human faults while recording these tests. This issue affects the performance of the machine learning models because the values of some features will be missing. Therefore, there is a need for a specific type of methods for imputing these missing data. In this research, the salp swarm algorithm (SSA) is used for generating and imputing the missing values in the pain in my ass (also known Pima) Indian diabetes disease (PIDD) dataset, the proposed algorithm is called (ISSA). The obtained results showed that the classification performance of three different classifiers which are support vector machine (SVM), K-nearest neighbour (KNN), and Naïve B

... Show More
View Publication
Scopus (4)
Crossref (1)
Scopus Crossref
Publication Date
Thu Sep 30 2021
Journal Name
Iraqi Journal Of Science
Implementation of K-Nearest Neighbors Algorithm for Predicting Heart Disease Using Python Flask
...Show More Authors

     Heart disease is a non-communicable disease and the number 1 cause of death in Indonesia. According to WHO predictions, heart disease will cause 11 million deaths in 2020. Bad lifestyle and unhealthy consumption patterns of modern society are the causes of this disease experienced by many people. Lack of knowledge about heart conditions and the potential dangers cause heart disease attacks before any preventive measures are taken. This study aims to produce a system for Predicting Heart Disease, which benefits to prevent and reduce the number of deaths caused by heart disease. The use of technology in the health sector has been widely practiced in various places and one of the advanced technologies is machine lea

... Show More
View Publication Preview PDF
Scopus (7)
Crossref (5)
Scopus Crossref