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Applying Scikit-learn of Machine Learning to Predict Consumed Energy in Al-Khwarizmi College of Engineering, Baghdad, Iraq
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Globally, buildings use about 40% of energy. Many elements, such as the physical properties of the structure, the efficiency of the cooling and heating systems, the activity of the occupants, and the building’s sustainability, affect the energy consumption of a building. It is really difficult to predict how much energy a building will need. To improve the building’s sustainability and create sustainable energy sources to reduce carbon dioxide emissions from fossil fuel combustion, estimating the building's energy use is necessary. This paper explains the energy consumed in the lecture building of the Al-Khwarizmi College of Engineering, University of Baghdad (UOB), Baghdad, Iraq. The weather data and the building construction information were collected for a specific period and put into a specific data set. That data was used to find the value of energy consumption in the building using artificial intelligence and data analysis. A Python library called Scikit-learn is used to implement machine learning algorithms. In particular, the Multi-layer Perceptron regressor (MLPRegressor) algorithm was used to predict the consumption. The importance of this work lies in predicting the amount of energy consumed. The outcomes of this work can be used to predict the energy consumed by any building before it is built. The used methodology shows the ability to predict energy performance in educational buildings using previous results and train the model on them, and prediction accuracy depends on the amount of data available for the training in artificial intelligence (AI) steps to give the highest accuracy. The prediction was checked using root-mean-square error (RMSE) and coefficient of determination (R²) and we arrived at 0.16 and 0.97 for RMSE and R², respectively.

Publication Date
Fri Jan 01 2016
Journal Name
8th Conference On Power Electronics, Machines And Drives (pemd), Glasgow, Uk
Design of tubular moving magnet linear alternator for use with an external combustion - free piston engine
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Publication Date
Thu May 31 2018
Journal Name
International Journal Of Control And Automation
Power Flow Control of Iraqi International Super Grid with Two-Terminal HVDC Techniques Using PSS/E
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Publication Date
Wed Aug 30 2023
Journal Name
Iraqi Journal Of Science
The Novelty of Amino Acid Production From Feathers Degradation Em-ploying Keratinase from Streptomyces Venezuelae AZ15
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      Keratinases are enzymes belonging to the serine hydrolases group which are capable of degradation of keratin, an insoluble and fibrous structural protein widely cross-linked with hydrogen, disulfide, and hydrophobic bonds. Attempts to find new sources of enzymes and amino acids for fundamental knowledge of enzyme evolution, structure‐function relationships, catalysis mechanisms of enzymes, and even for the identification of novel protein folds. In this study, seventy-nine samples were collected from different places in the University of Baghdad, and the best isolate for amino acid production by feathers degradation was by using Streptomyces venezuelae AZ15. The best fermentation system and the optimum culture condit

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Publication Date
Thu Nov 30 2023
Journal Name
Iraqi Journal Of Science
Synthesis, Characterization, and Antioxidant Screening of Some New Azo Compounds Containing Pyrazole Moiety from Metoclopramide Drug
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     In this work, some new pyrazole derivatives were prepared through the reaction of the diazonium salt of metoclopramide with acetylacetone to give 5-chloro-N-(2-(diethylamino)ethyl)-4-((2,4-dioxopentan-3-yl) diazenyl)-2-methoxybenzamide (1) in 80% yield. Compound 1 was then reacted with some hydrazine derivatives to afford the corresponding pyrazole derivatives in 75-93% yields. Some new azo compounds (6-10) were also prepared in 77-95% yields by treatment of the diazonium salt of metoclopramide with some phenol and aniline derivatives. The prepared compounds were characterized using FT-IR and 1H NMR spectroscopy. Some of these compounds were

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Publication Date
Wed May 24 2017
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Antifungal Activity of Propolis Ethanol Extract Against Botrytis cinerea, Altrnaria sp Which Caused Many Plant Diseases
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  This study was conducted to determine the effect of different concentrations of   ethanol  extract of propolis against two  fungi Botrytis cinerea, Altrnaria sp.      The most important chemical constituents of propolis diagnosed by the Infra Red Spectroscopy, were the  Flavonoids  specificaly.       Results showed a high antifungal activity of ethanol  extract of propolis, evidently with a high concentration  of extract (5) mg\ml, which completely inhibited the radial growth on both  solid and liquid media (PDA &PD Broth ) of both fungi .         We observed that , ethanol  extract p

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Publication Date
Wed May 25 2022
Journal Name
Iraqi Journal Of Science
Transverse Direction Loading Effect on the Elasticity and Strength of Micro and Nano Silica Oxide Composites
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      Using three-point bending experiments,  the effect of the particle size of SiO2 on the flexural properties of epoxy composites was investigated. Young modulus and flexural strength were studied for different weight percentage of filler  (2,4,6,8 and 10) wt%.The size of SiO2 particles varied from micro (100um) to nano (12nm) .

Flexural strength and  Young modul were found to increase with the filler content, but when the particle size decreased to the nanoscale, the  Young module  increased. Flexural strength was higher for microcomposites than nanocomposites.

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Publication Date
Mon Jun 10 2019
Journal Name
Al-kindy College Medical Journal
Knowledge and Attitudes Regarding Health Education among Sample of Iraqi Patients Attending Primary Health Care Centers
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Background: Health education was put as one of the components of primary health care elements and was recognized as a fundamental tool to the attainment of health for all

Objective: To evaluate the Knowledge, attitude regarding health education & to find out if there is any association between the gathered data and certain variables (age, gender, educational level, occupation). Methods: A Cross-sectional study done at Al Mustansyryia Primary Health Care Center from the 1st of January to 1st of May 2016. All patients attending the Primary Health Care Centers who were above 18 years of age and willing to participate in the research (303) were included in t

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Publication Date
Sat Jan 02 2021
Journal Name
Journal Of The College Of Languages (jcl)
The problems of Google Translate: Los servicios de la traducción automática de Google y sus problemas
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There are numbers of automatic translation services that internet users can choose to automatically translate a certain text, and Google translate is one of these automatic services that proposes over 51 Languages. The present paper sheds light on the nature of the translation process offered by Google, and analyze the most prominent problems faced when Google translate is used. Direct translation is common with Google Translate and often results in nonsensical literal translations, particularly with long compound sentences. This is due to the fact that Google translation system uses a method based on language pair frequency that does not take into account grammatical rules which, in turn, affects the quality of the translation. The

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Publication Date
Wed Jun 27 2018
Journal Name
Iraqi Journal Of Science
Effect of Nano-Zirconium Oxide and Other Applications on Cowpea Seedlings Growth Under T Salt Stress
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This study was carried out in the botanical garden / department of biology /college of science in Mustansiriyah University, Baghdad. During spring 2017 under controlled environmental conditions in greenhouse to study the role of Nano ZrO2 activity in decrease negative effect of salinity under two levels from NaCl . The treatments included (Salinity levels : natural soil , 3000 ppm and 6000 ppm NaCl) and ( Applications : control , 100 , 300 Zirconium oxide , 5 ppm of liquorice root extract and 10 ppm liquorice root extract   and 300 ppm GA3) , The collected data were analyzed statistically using factorial completely randomized design.   The results appeared  that 300 ppm nano zirconium gave the highest

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Publication Date
Wed Feb 29 2012
Journal Name
Al-khwarizmi Engineering Journal
Effect of Fuel Cetane Number on Multi-Cylinders Direct Injection Diesel Engine Performance and Exhaust Emissions
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Due to the energy crisis and the stringent environmental regulations, diesel engines are offering good hope for automotive vehicles. However, a lot of work is needed to reduce the diesel exhaust emissions and give the way for full utilization of the diesel fuel’s excellent characteristics.

A kind of cetane number improver has been proposed and tested to be used with diesel fuel as                 ameans of reducing exhaust emissions. The addition of (2-ethylhexyl nitrate) was designed to raise fuel cetane number to three stages, 50, 52 and 55 compared to the used conventional diesel fuel whose CN was 48.5. The addition of CN improver results in the decre

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