Preferred Language
Articles
/
ijs-2691
An Improved Probability Density Function (PDF) for Face Skin Detection
...Show More Authors

      Face Detection by skin color in the field of computer vision is a difficult challenge. Detection of human skin focuses on the identification of pixels and skin-colored areas of a given picture. Since skin colors are invariant in orientation and size and rapid to process, they are used in the identification of human skin. In addition features like ethnicity, sensor, optics and lighting conditions that are different are sensitive factors for the relationship between surface colors and lighting (an issue that is strongly related to color stability). This paper presents a new technique for face detection based on human skin. Three methods of Probability Density Function (PDF) were applied to detect the face by skin color; these are the Extreme Value Distribution Function and the Exponential Distribution Function methods, in addition to a new proposed model, over the HSV (Hue, Saturation, and Value) color space. The suggested technique aims to enhance skin pixel detection and improve the detection accuracy of a colored region in the human skin in a specific photo. The new model has proved to be 96.05% more accurate than the Extreme value distribution function and Exponential distribution function according to the selected region of the face during experiments. The images used in this paper were 380 color images from CalTech (California Technology Institute) dataset.

Scopus Crossref
View Publication
Publication Date
Sat Sep 30 2023
Journal Name
Iraqi Journal Of Science
Hybrid CNN-SMOTE-BGMM Deep Learning Framework for Network Intrusion Detection using Unbalanced Dataset
...Show More Authors

This paper proposes a new methodology for improving network security by introducing an optimised hybrid intrusion detection system (IDS) framework solution as a middle layer between the end devices. It considers the difficulty of updating databases to uncover new threats that plague firewalls and detection systems, in addition to big data challenges. The proposed framework introduces a supervised network IDS based on a deep learning technique of convolutional neural networks (CNN) using the UNSW-NB15 dataset. It implements recursive feature elimination (RFE) with extreme gradient boosting (XGB) to reduce resource and time consumption. Additionally, it reduces bias toward

... Show More
View Publication Preview PDF
Scopus (3)
Scopus Crossref
Publication Date
Fri Jun 01 2018
Journal Name
Journal Of Accounting And Financial Studies ( Jafs )
The effect of fraud detection skills in the settlement of Compensatory claims for the fire and accident insurance portfolio: An applied study in the national and Iraqi insurance companies
...Show More Authors

The research seeks to identify the impact of fraud detection skills in the settlement of compensatory claims for the fire and accident insurance portfolio and the reflection of these skills in preventing and reducing the payment of undue compensation to some who seek profit and enrichment at the expense of the insurance contract. And compensatory claims in the portfolio of fire and accident insurance in the two research companies, which show the effect and positive return of the detection skills and settlement of the compensation on the amount of actual compensation against the claims inflated by some of the insured, The research sample consisted of (70) respondents from a community size (85) individuals between the director and assistan

... Show More
View Publication Preview PDF
Crossref
Publication Date
Mon May 15 2023
Journal Name
Iraqi Journal Of Science
Genetic Comparative Study of Staphyolococcus aureus& Staphylococcus epidermidis Isolated from Wounds, Burns and Skin Flora
...Show More Authors

One hundred specimens from wounds, burns, and skin swabs were collected
from patients laying and attended to Balad general hospital. It was found that 50
isolates belong to Staphylococcus spp., 38 isolates were identified as S. aureus and
12 isolates were identified as S. epidermidis according to microscopic, cultural and
biochemical testing. The study of seven extracellular enzyme as virulence factors
including the enzymes: urease, lipase, DNase, haemolysin, coagulase, β-lactamase,and lecithinase. Reavealed that 100% of S.aureus had the ability to produce these
enzymes, while S. epidermidis isolates were unable to produce the enzymes DNase,
lipase, coagulase, but they were capable to produce haemolysin, urease, lec

... Show More
View Publication Preview PDF
Publication Date
Sat Dec 08 2018
Journal Name
Bioscience Research
Hepatoprotective effect of (Arachis hypogeaL.) peanut skin extracts on CCl4 induced liver damage in mice
...Show More Authors

This study was carried out to evaluate the hepato-protective property of (Arachis hypogea L.) peanut skin extracts in CCl4 induced hepatotoxicity in mice. The antioxidant activity was measured utilizing 2, 2-diphenyl-1-1 picrylhydrazyl (DPPH) radical scavenging capacity. The results showed that the methanolic extract was the highest free radical scavenging activity than the aqueous extract with values (92.34 ± 0.45 and 87.62 ± 0.44) respectively in 12 mg/mL compared to 89.61 ± 0.34 for Butylated hydroxytoluene (BHT) and 93.25 ± 0.06 for vitamin C, which means that the methanolic extract of peanut skin is superior to BHT. Furthermore, the total phenolic content was analyzed by using Folin-Ciocalteu method, the amount of total phenol in a

... Show More
View Publication Preview PDF
Publication Date
Mon May 15 2023
Journal Name
Iraqi Journal Of Science
In Vivo Effect of Catharanthus roseus Crude Extracts on Pathogenic Bacteria Isolated from Skin infections
...Show More Authors

This study includes collection of 70 swabs samples of burns from patients were
admitted in three hospitals (Baghdad, Al- Numaan and burns injuries Hospital). All
swabs samples were cultured on blood and MacConkey agar media to isolate and
identify pathogenic bacteria according to their morphological , biochemical and
growth characters. Growth of bacteria on selective media showed the following
results: Pseudomonas aeroginosa 44.28% , Klebsiella pneumonia 30% ,
Staphylococcu saureus 8.57% , Escherichia coli 4.28% , Proteus vulgaris 4.28 % ,
Enterobacter spp. 5.71% , Acinetobacter baumanni 2.89 %. Different concentrations
were prepared from leaves ethanolic crude extract of Catharanthus roseus , then the
anti-bac

... Show More
View Publication Preview PDF
Publication Date
Fri Sep 30 2022
Journal Name
Journal Of Economics And Administrative Sciences
Choosing the best method for estimating the survival function of inverse Gompertz distribution by using Integral mean squares error (IMSE)
...Show More Authors

In this research , we study the inverse Gompertz distribution (IG) and estimate the  survival function of the distribution , and the survival function was evaluated using three methods (the Maximum likelihood, least squares, and percentiles estimators) and choosing the best method estimation ,as it was found that the best method for estimating the survival function is the squares-least method because it has the lowest IMSE and for all sample sizes

View Publication Preview PDF
Crossref
Publication Date
Thu Apr 28 2022
Journal Name
Iraqi Journal Of Science
Elastic Form Factors and Proton Momentum Distributions for Some fp- Shell Nuclei Using the Coherent Density Fluctuation Model
...Show More Authors

The ground state proton momentum distributions (PMD) and elastic charge form
factors for some odd 1f  2p shell nuclei, such as , , 59 63Co Cu and Cu 65 have been
studied using the Coherent Density Fluctuation Model and formulated by means of
the fluctuation function (weight function) ( ) .
2
f x The fluctuation function has been
connected to the charge density distribution of the nuclei and determined from the
theory and experiment result. The feature of the long-tail behavior at high
momentum region of the PMD has been calculated by both the theoretical and
experimental fluctuation functions. It is found that the inclusion of the quadrupole
form factors ( ) 2 F q C in all nuclei under study, which are de

... Show More
View Publication Preview PDF
Publication Date
Thu Sep 01 2016
Journal Name
Journal Of Engineering
Calculating the Transport Density Index from Some of the Productivity Indicators for Railway Lines by Using Neural Networks
...Show More Authors

The efficiency evaluation of the railway lines performance is done through a set of indicators and criteria, the most important are transport density, the productivity of enrollee, passenger vehicle production, the productivity of freight wagon, and the productivity of locomotives. This study includes an attempt to calculate the most important of these indicators which transport density index from productivity during the four indicators, using artificial neural network technology. Two neural networks software are used in this study, (Simulnet) and (Neuframe), the results of second program has been adopted. Training results and test to the neural network data used in the study, which are obtained from the international in

... Show More
View Publication Preview PDF
Publication Date
Wed Sep 20 2023
Journal Name
Chalcogenide Letters
Calculation of the localized and extended energy states density for Ge60Se40-xTex alloy prepared by melting point method
...Show More Authors

The DC electrical conductivity properties of Ge60Se40-xTex alloy with x = 0, 5, 10, 15 and 20). The samples were formed in the form of discs with the thickness of 0.25–0.30 cm and the diameter of 1.5 cm. Samples were pressed under a pressure of 6 tons per cm2 , using a ton hydraulic press. They were prepared after being pressed using a ton hydraulic press using a hydraulic press. Melting point technology use to preper the samples. Continuous electrical conductivity properties were recorded from room temperature to 475 K. Experimental data indicates that glass containing 15% Te has the highest electrical conductivity allowing maximum current through the sample compared to Lu with other samples. Therefore, it is found that the DC co

... Show More
View Publication
Scopus (1)
Crossref (1)
Scopus Clarivate Crossref
Publication Date
Tue Feb 11 2025
Journal Name
Mustansiriya Medical Journal
The Pattern Of Skin Diseases Among Kindergarten Children In Baghdad. A Comparative Study Between Two Surveys Five Years Apart
...Show More Authors

View Publication