Preferred Language
Articles
/
joe-94
Detection and Diagnosis of Induction Motor Faults by Intelligent Techniques
...Show More Authors

This paper presents a complete design and implementation of a monitoring system for the operation of the three-phase induction motors. This system is built using a personal computer and  two types of sensors (current, vibration) to detect some of the mechanical faults that may occur in the motor. The study and examination of several types of faults including (ball bearing and shaft misalignment faults) have been done through the extraction of fault data by using fast Fourier transform (FFT) technique. Results showed that the motor current signature analysis (MCSA) technique, and measurement of vibration technique have high possibility in the detection and diagnosis of most mechanical faults with high accuracy. Subsequently, diagnosis system is developed to determine the status of the motor without the need for an expert. This system is based on artificial neural network (ANN) and it is characterized by speed and accuracy and the ability to detect more than one fault at the same time.
 

View Publication Preview PDF
Quick Preview PDF
Publication Date
Wed Sep 14 2016
Journal Name
Journal Of Baghdad College Of Dentistry
A Survey of Prosthodontics Techniques Applied by Dental Practitioners in Sulaimani City
...Show More Authors

Background: Prosthodontic services have changed markedly due to an introduction of new materials, techniques and treatment options. The aim of this study were to identify the type of materials and the methods used by dental practitioners in their clinics to construct conventional complete dentures and to specify the type and design for removable partial dentures (RPDs); and to then compare them with those taught in dental schools. Materials and methods: A total of 153 dental practitioners in Sulaimani city completed a written questionnaire. The questionnaire included 19 questions regarding complete and RPDs fabrication. Results: Most of the practitioners provide complete dentures (81.6%) and RPDs (95.3%) in their clinics. Polyvinyl silox

... Show More
View Publication Preview PDF
Crossref (2)
Crossref
Publication Date
Mon Jan 01 2024
Journal Name
Pathology - Research And Practice
Artificial intelligence in cancer diagnosis: Opportunities and challenges
...Show More Authors

View Publication
Scopus (27)
Crossref (26)
Scopus Clarivate Crossref
Publication Date
Wed Dec 30 2015
Journal Name
Al-kindy College Medical Journal
Application of Alvarado scoring system in the diagnosis of acute appendicitis.
...Show More Authors

Background: Acute appendicitis is the most common abdominal surgical emergency. The diagnosis of this condition is still essentially clinical and there is difficulty in the clinical diagnosis, especially among elderly, children and patients with a typical presentation, so early and accurate diagnosis of acute appendicitis is important to avoid its complications.Objectives: To evaluate the degree of accuracy of Alvarado scoring system in the diagnosis of acute appendicitis.Method: Two hundred patients were admitted to the Alkindy Teaching Hospital from January 2011 to april 2014- presented with symptoms and signs suggestive of acute appendicitis. After examination and investigations all patients were given a score according to Alvarado sc

... Show More
View Publication Preview PDF
Publication Date
Tue Mar 31 2015
Journal Name
Al-khwarizmi Engineering Journal
Intelligent H2/H∞ Robust Control of an Active Magnetic Bearings System
...Show More Authors

Abstract

Robust controller design requires a proper definition of uncertainty bounds. These uncertainty bounds are commonly selected randomly and conservatively for certain stability, without regard for controller performance.  This issue becomes critically important for multivariable systems with high nonlinearities, as in Active Magnetic Bearings (AMB) System. Flexibility and advanced learning abilities of intelligent techniques make them appealing for uncertainty estimation. The aim of this paper is to describe the development of robust H2/H controller for AMB based on intelligent estimation of uncertainty bounds using Adaptive Neuro Fuzzy Inference System (ANFIS).  Simulatio

... Show More
View Publication Preview PDF
Publication Date
Mon Apr 24 2017
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Arabic Characters Recognition by Edge Detection Using Connected Component Contour(CO3)
...Show More Authors

  In the present paper, Arabic Character Recognition  Edge detection method based on contour and connected components  is proposed. First stage contour extraction feature is introduced to tackle the Arabic characters edge detection problem, where the aim is to extract the edge information presented in the Arabic characters, since it is crucial to understand the character content.         The second stage connected components appling for the same characters to find edge detection. The proposed approach exploits a number of connected components, which move on the character by character intensity values, to establish matrix, which represents the edge information at each pixel location .

... Show More
View Publication Preview PDF
Publication Date
Sat Apr 02 2022
Journal Name
The International Conference On Science In Engineering And Technology (icosiet) 2020 (virtually)
The Possible Application of Intelligent Systems in Traditional Courtyard House.
...Show More Authors

View Publication
Publication Date
Mon Apr 23 2018
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Comparative Analysis of Various Techniques for Giardia lamblia Detection and Association with E coil and Shigella Among Children Attending AL-Imamin AL-Kadhimin Medical City
...Show More Authors

 Diarrhea is an important public health problem worldwide, several causes associated with diarrhea especially in population live under poverty and unsafe water use. Different methods are available and use in diagnosis. This study was carried out to compare of various techniques for Giardia lamblia detection and study the association with  E coil and Shigella in patients with diarrhea.  A total of 100 children with diarrhoea were enrolled into the study, 57 were males and 43 were females, aged from 2 months -16 years were attendant to AL-Imamin AL-Kadhimin Medical City, during the period from May 2014 to February 2015.  Stool samples were collected and analysed for Giardia lamblia

... Show More
View Publication Preview PDF
Crossref
Publication Date
Wed Oct 18 2017
Journal Name
Al-kindy College Medical Journal
Non Motor Symptoms In Patients With parkinson's Disease In Baghdad Hospitals
...Show More Authors

Background:Parkinson’disease(PD) is a neurodegenerative disorder of the central nervous system characterized by resting tremor, bradykinesia, cogwheel rigidity, and impairment of postural reflexes; the frequency of PD increases with aging.Clinically Parkinson's disease characterized by two groups of symptoms: motor and non-motor symptoms.Non-motor symptoms can be categorized as autonomic, cognitive/psychiatric (may include depression, dementia, anxiety, hallucinations), sensory and rapid eye movements (REM) sleep behavior disorder (RBD).

Objectives:The objectives of this study are to find out the frequency of the non-motor symptoms of idiopathic Parkinson disease in a group of patients in Baghd

... Show More
View Publication
Crossref (1)
Crossref
Publication Date
Sun Jan 01 2023
Journal Name
Journal Of Engineering
Intelligent Congestion Control of 5G Traffic in SDN using Dual-Spike Neural Network
...Show More Authors

Software Defined Networking (SDN) with centralized control provides a global view and achieves efficient network resources management. However, using centralized controllers has several limitations related to scalability and performance, especially with the exponential growth of 5G communication. This paper proposes a novel traffic scheduling algorithm to avoid congestion in the control plane. The Packet-In messages received from different 5G devices are classified into two classes: critical and non-critical 5G communication by adopting Dual-Spike Neural Networks (DSNN) classifier and implementing it on a Virtualized Network Function (VNF). Dual spikes identify each class to increase the reliability of the classification

... Show More
View Publication Preview PDF
Crossref (2)
Crossref
Publication Date
Thu Dec 15 2022
Journal Name
Journal Of Baghdad College Of Dentistry
Point of Care testing: The future of periodontal dis-ease diagnosis and monitoring
...Show More Authors

Manual probing and periodontal charting are the gold standard for periodontal diagnosis that have been used in practice over a century. These methods are affordable and reliable but they are associated with some drawbacks that cannot be avoided. Among these issues is their reliance on operator’s skills, time-consuming and tedious procedure, lack sensitivity especially in cases of early bone loss, and causing discomfort to the patient. Availability of a wide range of biomarkers in the oral biofluids, dental biofilm, and tissues that potentially reflect the periodontal health and disease accurately encouraged their use as predictive/diagnostic/monitoring tools. Analysing biomarkers during care-giving to the patient using chairside kits i

... Show More
View Publication Preview PDF
Scopus (5)
Crossref (2)
Scopus Crossref