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Double Function Random Early Detection (DFRED): A Revised RED-Oriented Algorithm
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     Dropping packets with a linear function between two configured queue thresholds in Random Early Detection (RED) model is incapable of yielding satisfactory network performance. In this article, a new enhanced and effective active queue management algorithm, termed Double Function RED (DFRED in short) is developed to further curtail network delay. Specifically, DFRED algorithm amends the packet dropping probability approach of RED by dividing it into two sub-segments. The first and second partitions utilizes and implements a quadratic and linear increase respectively in the packet dropping probability computation to distinguish between two traffic loads: low and high. The ns-3 simulation performance evaluations clearly indicate that DFRED algorithm significantly controls the average queue occupancy and yields a reasonable gain in end-to-end-delay under different network conditions.

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Publication Date
Wed Aug 01 2018
Journal Name
Journal Of Economics And Administrative Sciences
The Role of Quality Function Deployment in Evaluating The Product Applied Research in General Company For Vegetable Oil Industry- Al-M'amoon Factory
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The Quality  function deployment (QFD)  tool is an important  tool of total quality management because its a link between two important parts customer and production process of the product, using advanced House of quality, which contributed to provide more details about improving the product before it had a vision for the future of the product be improved. Also the identification of the two competitors (Alwazeer , Altouri) bases on the survey of retailers  which they identified five competitors products (Alwazeer , Altouri , Ferry , Jif , Dina)for the product (Zahi). Then House of quality  to product (Zahi) has been developed  By using a Kano Model  to classify of customer's requirements for the

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Publication Date
Tue May 30 2023
Journal Name
Iraqi Journal Of Science
Effects of Aqueous Extract of Cumin Seed (Cuminum cyminum) on the Structure and Function of Albino Rat Kidneys Treated with Dibutyl Phthalate
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     This study was aimed to investigate the effects of Cuminum cyminum seed aqueous extract on the function and histological structure of rat kidney treated with dibutyl phthalate (DBP). Eighteen albino rats weighing 190-240g and aged 10-12 weeks were used for this study which went on for 28 days. The rats were divided into three groups (each with six animals): 1st  group: control rats were given food and tap water, 2nd group was given DBP (420mg/Kg. B.W.)  with tap water and diet, 3rd group were fed cumin plant orally at a daily dose of (200 mg/kg B.W.) and DBP (420mg/kg. B.W.) was given with drinking water and fed with diet daily. Kidney and liver function parameters were measured and hi

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Publication Date
Tue Jan 30 2024
Journal Name
Iraqi Journal Of Science
Detection of Leptin and Ghrelin Hormones and the Expression of their Receptors in Iraqi Obese Individuals
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     Obesity is a complex disease and a major worldwide health hazard with adult mortality. Obesity is defined by an increase in the body-mass index of 30 kg m−2 or greater. It belongs to the genetic predisposition and more consumption of high-energy foods and decreased requirement for physical activity in modern society. This study was designed to evaluate leptin and ghrelin hormones levels and the gene expression of leptin and ghrelin receptors in obese individuals. Seventy-five obese (45 females and 30 males) and 25 (15 females and 10 male) normal individuals were admitted to the Obesity Research and Therapeutic Unit at Alkindy College of Medicine/ University of Baghdad. All blood samples were pulled from obese and n

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Publication Date
Sun Jul 01 2018
Journal Name
Computers And Electronics In Agriculture
Detection of charcoal rot (Macrophomina phaseolina) toxin effects in soybean (Glycine max) seedlings using hyperspectral spectroscopy
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Publication Date
Sun Mar 01 2015
Journal Name
Baghdad Science Journal
Detection of Cronobacter sakazakii (Enterobacter sakazakii) in powdered food infants (PIF) and raw milk in Iraq
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This study was conducted to detect C.sakazakii PIF and raw milk. Two hundred samples of PIF were taken from the infected hospital infants who used this type of milk and from the local markets in addition to 16 sample of raw milk were collected. The study is the first to report the isolation of C. sakazakii and Enterobacter spp. from raw milk in Iraq. The distribution of C.sakazakii and Enterobacter spp. among the presumptive isolates using Vitek-GN2 system gave 1/16(6.25%) isolates of C.sakazakii and 4/16 (25%) isolates of Enterobacter spp. Enterobacter spp. isolates include (E.cloacae ssp. cloacae and E.cloacae ssp. dissolvens, E.hormaechei, and E.ludwigii) that isolate from raw milk Differences in between percentages of each isolate perse

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Publication Date
Mon Jun 19 2023
Journal Name
Journal Of Engineering
Detection and Removal of Polycyclic Aromatic Hydrocarbon from Selected Areas in Tigris River in Baghdad City
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Aromatic hydrocarbons present in Iraqi national surface water were believed to be raised principally from combustion of various petroleum products, industrial processes and transport output and their precipitation on surface water.
Polycyclic aromatic hydrocarbons (PAHs) were included in the priority pollutant list due to their toxic and carcinogenic nature. The concern about water contamination and the consequent human exposure have encouraged the development of new methods for
PAHs detection and removal.
PAHs, the real contaminants of petroleum matter, were detected in selected sites along Tigris River within Baghdad City in summer and winter time, using Shimadzu high performance liquid chromatography (HPLC) system.
Analysi

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Publication Date
Sun Jan 01 2023
Journal Name
Bionatura
Detection of lukf-pv gene in Staphylococcus aureus isolated from pregnant women with Urinary tract infection
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Publication Date
Sun Aug 01 2021
Journal Name
Journal Of Engineering
Practical comparation of the accuracy and speed of YOLO, SSD and Faster RCNN for drone detection
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Convolutional Neural Networks (CNN) have high performance in the fields of object recognition and classification. The strength of CNNs comes from the fact that they are able to extract information from raw-pixel content and learn features automatically. Feature extraction and classification algorithms can be either hand-crafted or Deep Learning (DL) based. DL detection approaches can be either two stages (region proposal approaches) detector or a single stage (non-region proposal approach) detector. Region proposal-based techniques include R-CNN, Fast RCNN, and Faster RCNN. Non-region proposal-based techniques include Single Shot Detector (SSD) and You Only Look Once (YOLO). We are going to compare the speed and accuracy of Faster RCNN,

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Publication Date
Wed Jan 01 2020
Journal Name
Amultifaceted Review Journal In The Field Of Pharmacy
Zwitterionic ion chromatography coupled with ultraviolet detection for the quantification of 2-deoxyguanosine in human serum
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Publication Date
Mon May 01 2017
Journal Name
Journal Of Stored Products Research
Detection and prediction of Sitophilus oryzae infestations in triticale via visible and near-infrared spectral signatures
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Triticale is a hybrid of wheat and rye grown for use as animal feed. In Florida, due to its soft coat, triticale is highly vulnerable to Sitophilus oryzae L. (rice weevil) and there is interest in development of methods to detect early-instar larvae so that infestations can be targeted before they become economically damaging. The objective of this study was to develop prediction models of the infestation degree for triticale seed infested with rice weevils of different growth stages. Spectral signatures were tested as a method to detect rice weevils in triticale seed. Groups of seeds at 11 different levels (degrees) of infestation, 0–62%, were obtained by combining different ratios of infested and uninfested seeds. A spectrophotometer wa

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