Preferred Language
Articles
/
xxYnFIcBVTCNdQwCHTSS
Particle swarm optimization technique-based prediction of peak ground acceleration of Iraq’s tectonic regions

Peak ground acceleration (PGA) is one of the critical factors that affect the determination of earthquake intensity. PGA is generally utilized to describe ground motion in a particular zone and is able to efficiently predict the parameters of site ground motion for the design of engineering structures. Therefore, novel models are developed to forecast PGA in the case of the Iraqi database, which utilizes the particle swarm optimization (PSO) approach. A data set of 187 historical ground-motion recordings in Iraq’s tectonic regions was used to build the explicit proposed models. The proposed PGA models relate to different seismic parameters, including the magnitude of the earthquake (Mw), average shear-wave velocity (VS30), focal depth (FD), and nearest epicenter distance (REPi) to a seismic station. The derived PGA models are remarkably simple and straightforward and can be used reliably for pre-design purposes. The proposed PGA models (i.e., models I and II) obtained via the explicit formula produced using the PSO method are highly correlated to the actual PGA records owing to low coefficients of variation (CoV) of approximately 2.12% and 2.06%, and mean values (i.e., close to 1.0) of approximately 1.005 and 1.004. Lastly, high-frequency, low absolute relative error (ARE), which is below 5%, is recorded for the proposed models, thereby showing an acceptable error distribution.

Scopus Crossref
View Publication Preview PDF
Quick Preview PDF
Publication Date
Wed Nov 20 2024
Journal Name
Journal Of Baghdad College Of Dentistry
Acceleration of canine movement by laser assisted flapless corticotomy [An innovative approach in clinical orthodontics]

Background: Corticotomy-assisted orthodontic treatment is done to induce a state of increased tissue turnover and transient osteopenia, which is followed by a faster rate of orthodontic tooth movement. It considered as an adjunct treatment option for orthodontic treatment of adults. The aim of this Study was to elucidate the effectiveness of a new surgical approach for acceleration of maxillary canine retraction in human with laser assisted flapless corticotomy and evaluate its effect on vitality of pulp and gingival sulcus depth. Materials and methods: the sample comprised of 15 Iraqi patients (9 females and 6 males; mean age 21.7), who were required extraction for their maxillary first premolars followed by retraction of the canines as pa

... Show More
View Publication Preview PDF
Publication Date
Sat Oct 03 2009
Journal Name
Proceeding Of 3rd Scientific Conference Of The College Of Science
Publication Date
Tue Feb 01 2022
Journal Name
Journal Of Engineering
Self-Repairing Technique Based on Microcapsules for Cementitious Composites- A Review

Self-repairing technology based on micro-capsules is an efficient solution for repairing cracked cementitious composites. Self-repairing based on microcapsules begins with the occurrence of cracks and develops by releasing self-repairing factors in the cracks located in concrete. Based on previous comprehensive studies, this paper provides an overview of various repairing factors and investigative methodologies. There has recently been a lack of consensus on the most efficient criteria for assessing self-repairing based on microcapsules and the smart solutions for improving capsule survival ratios during mixing. The most commonly utilized self-repairing efficiency assessment indicators are mechanical resistance and durab

... Show More
Crossref
View Publication Preview PDF
Publication Date
Wed Apr 10 2019
Journal Name
Engineering, Technology & Applied Science Research
Content Based Image Clustering Technique Using Statistical Features and Genetic Algorithm

Text based-image clustering (TBIC) is an insufficient approach for clustering related web images. It is a challenging task to abstract the visual features of images with the support of textual information in a database. In content-based image clustering (CBIC), image data are clustered on the foundation of specific features like texture, colors, boundaries, shapes. In this paper, an effective CBIC) technique is presented, which uses texture and statistical features of the images. The statistical features or moments of colors (mean, skewness, standard deviation, kurtosis, and variance) are extracted from the images. These features are collected in a one dimension array, and then genetic algorithm (GA) is applied for image clustering.

... Show More
Scopus (5)
Crossref (2)
Scopus Crossref
View Publication
Publication Date
Sat Mar 01 2008
Journal Name
Al-khwarizmi Engineering Journal
Minimizing error in robot arm based on design optimization for high stiffness to weight ratio

In this work the effect of choosing tri-circular tube section had been addressed to minimize the end effector’s error, a comparison had been made between the tri-tube section and the traditional square cross section for a robot arm, the study shows that for the same weight of square section and tri-tube section the error may be reduced by about 33%.

A program had been built up by the use of MathCAD software to calculate the minimum weight of a square section robot arm that could with stand a given pay load and gives a minimum deflection. The second part of the program makes an optimization process for the dimension of the cross section and gives the dimensions of the tri-circular tube cross section that have the same weight of

... Show More
View Publication Preview PDF
Publication Date
Sun Apr 29 2018
Journal Name
Iraqi Journal Of Science
Microbiological Quality of Wheat Cultivated in Many Different Regions of Iraq

Microbiological quality (total plate count, yeast and molds, coliform, and E. coli) of wheat cultivated in seven provinces of Iraqi were determined and compared to  Standard Quality of Iraq (IQS) and to the standardization of Food and Drug Administration (FDA). The samples were collected from fields, and some samples taken from near of a street (reachable by people) and far of a street as well as rural fields. The regulation has two limits, which are good and acceptable limits, and the samples within the acceptable limit should be two samples of five. The results showed that all analyzed samples were within the acceptable limit that approved by IQS and FDA. There was one field exceed IQS regulation and there were several fi

... Show More
View Publication Preview PDF
Publication Date
Sun Mar 06 2016
Journal Name
Baghdad Science Journal
Prevalence of Urinary Schistosomiasis in Al-Rusafah Regions of Baghdad governarate

Urinary Schistosomiasis is one of important diseases that cause irritation and damage of urinary tract and other systems and tissues and can not be expected by doctors when diagnosing urinary tract diseases.The current study is conducted to investigate the prevalence of schistosomiasisin Baghdad / Al-Rusafa. 191urine samples were collected fromresidents ofsome areas of Al-Rusafain Baghdad governarate (Almashtal, Albaladyat, Alameen, Baghdad aljadida and Alnahrawan) for the period from March until the end of September 2010.The samples were examined by the precipitation and examination of micro hematuria by reagent strips. The total infection percentage was 9.42% (18/191) and was significantly higher in males compared tofemales12.64% (11/87)

... Show More
Crossref (1)
Crossref
View Publication Preview PDF
Publication Date
Tue Sep 01 2020
Journal Name
Al-khwarizmi Engineering Journal
Pre-Processing and Surface Reconstruction of Points Cloud Based on Chord Angle Algorithm Technique

Abstract

Although the rapid development in reverse engineering techniques, 3D laser scanners can be considered the modern technology used to digitize the 3D objects, but some troubles may be associate this process due to the environmental noises and limitation of the used scanners. So, in the present paper a data pre-processing algorithm has been proposed to obtain the necessary geometric features and mathematical representation of scanned object from its point cloud which obtained using 3D laser scanner (Matter and Form) through isolating the noised points. The proposed algorithm based on continuous calculations of chord angle between each adjacent pair of points in point cloud. A MATLAB program has been built t

... Show More
Crossref (3)
Crossref
View Publication Preview PDF
Publication Date
Sun Oct 15 2017
Journal Name
Research Journal Of Applied Sciences, Engineering And Technology
Crossref
View Publication
Publication Date
Wed Jul 31 2019
Journal Name
Journal Of Engineering
A Comparative Study of Various Intelligent Optimization Algorithms Based on Path Planning and Neural Controller for Mobile Robot

In this paper, a cognitive system based on a nonlinear neural controller and intelligent algorithm that will guide an autonomous mobile robot during continuous path-tracking and navigate over solid obstacles with avoidance was proposed. The goal of the proposed structure is to plan and track the reference path equation for the autonomous mobile robot in the mining environment to avoid the obstacles and reach to the target position by using intelligent optimization algorithms. Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC) Algorithms are used to finding the solutions of the mobile robot navigation problems in the mine by searching the optimal paths and finding the reference path equation of the optimal

... Show More
Crossref (3)
Crossref
View Publication Preview PDF