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The management of water distribution network using GIS application case study: AL-Karada area
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Abstract<p>Clean water supply is one of the major factors contributing significantly to society’s socio-economic transformation by improving living standards, health, and increasing productivity. It is imperative to plan and construct appropriate water supply systems in modern society, which supply various segments of society with safe drinking water according to their requirements to ensure adequate and quality water supply. In the current study, here was an attempt to develop a model for geographic information systems to manage the assets of the water distribution networks in the Karrada region and to evaluate the network geometrically, and from the results of the engineering analysis of the network it was found that the network does not contain engineering errors and depends on scientific and engineering foundations, and many tools have been used and a number of orders to manage the water distribution networks, inquire about their assets in full, and explain the importance of using these tools in order to inquire about the possibility of malfunctions in the network and help maintenance professionals in this and take immediate action to identify problems (for example, in the case of broken pipes, service areas ) In the system followed by rapid solutions to optimize network maintenance work, providing a framework for continuous improvement.Finally, the study recommended the authorities to establish a comprehensive central database for water networks with continuous updating of it, and to take advantage of new updates of water distribution networks management programs to help maintenance professionals to monitor faults in the network.</p>
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Publication Date
Fri Jun 16 2023
Journal Name
Journal Of Humanities And Social Sciences Researches
The Role and Importance of Electronic Automation in Banking Service Development: A Case Study of the Commercial Bank of Iraq
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Electronic banking services appeared as a result of laying the foundations for the application of electronic automation in the banking field, and despite the clear expansion in its adoption and implementation as an inevitable necessity imposed by international and national developments, its application was not ideal according to the level that was expected to occur after the abandonment of traditional banking services, which produced some risks Which is evident in the absence of a legal system, whether at the level of proving and authoritative electronic banking services such as electronic signature, Or at the level of protecting the confidentiality of these services and ensuring that they are not exp

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Publication Date
Sun Feb 03 2019
Journal Name
Journal Of The College Of Education For Women
The Archaeological Surveying in Wadi Al – yabis in Jordan (( Athnoarchology study ))
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Wadi AL – yabis situated to the north jorden , its extended from Aglon
mountain to the jorden river , the surveying of this valley about 186 KM , and the
highest point in it about 1200 m upon the sea level , the lower point ther under the
sea level . This study lay to appear the historical important and to study the variation
of environment and population which happened in the different periods , in the
beginning the Paleolithic until the later period , and to understand the environment ,
political and economical circumstances , which it can to influenced or limited in
human behavior from choosing , the settlement sits and than ( we could ) knowledge
of living ways and the tools which they used in there living a

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Publication Date
Sat Jan 01 2022
Journal Name
Journal Of Stomatology
Preferences of treatments and materials used in the management of exposed pulps: a web-based questionnaire study
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Publication Date
Thu Apr 18 2019
Journal Name
Al-kindy College Medical Journal
Evaluation of Risk Management among Managers of the Primary Health Care Centers in Baghdad City: Comparative Study
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Background: Several risk managem-ent standards had been developed including the Project Management Institute, the National Institute of Standards and Technology, actuarial societies, and ISO standards.

Objective: The study aimed at evaluating risk management among managers of model and ordinary primary health care centers in Baghdad City and comparing the risk management among these centers.

Methods: A descriptive comparative des

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Publication Date
Tue May 01 2018
Journal Name
Journal Of Engineering
Prediction of Municipal Solid Waste Generation Models Using Artificial Neural Network in Baghdad city, Iraq
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The importance of Baghdad city as the capital of Iraq and the center of the attention of delegations because of its long history is essential to preserve its environment. This is achieved through the integrated management of municipal solid waste since this is only possible by knowing the quantities produced by the population on a daily basis. This study focused to predicate the amount of municipal solid waste generated in Karkh and Rusafa separately, in addition to the quantity produced in Baghdad, using IBM SPSS 23 software. Results that showed the average generation rates of domestic solid waste in Rusafa side was higher than that of Al-Karkh side because Rusafa side has higher population density than Al-Karkh side. T

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Publication Date
Thu Aug 31 2017
Journal Name
Journal Of Engineering
Optimum Dimensions of Hydraulic Structures and Foundation Using Genetic Algorithm coupled with Artificial Neural Network
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      A model using the artificial neural networks and genetic algorithm technique is developed for obtaining optimum dimensions of the foundation length and protections of small hydraulic structures. The procedure involves optimizing an objective function comprising a weighted summation of the state variables. The decision variables considered in the optimization are the upstream and downstream cutoffs lengths and their angles of inclination, the foundation length, and the length of the downstream soil protection. These were obtained for a given maximum difference in head, depth of impervious layer and degree of anisotropy. The optimization carried out is subjected to constraints that ensure a safe structure aga

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Publication Date
Thu Jan 03 2019
Journal Name
International Journal Of Civil Engineering And Technology (ijciet)
Condition Prediction Models of Deteriorated Trunk Sewer Using Multinomial Logistic Regression and Artificial Neural Network
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Sewer systems are used to convey sewage and/or storm water to sewage treatment plants for disposal by a network of buried sewer pipes, gutters, manholes and pits. Unfortunately, the sewer pipe deteriorates with time leading to the collapsing of the pipe with traffic disruption or clogging of the pipe causing flooding and environmental pollution. Thus, the management and maintenance of the buried pipes are important tasks that require information about the changes of the current and future sewer pipes conditions. In this research, the study was carried on in Baghdad, Iraq and two deteriorations model's multinomial logistic regression and neural network deterioration model NNDM are used to predict sewers future conditions. The results of the

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Publication Date
Thu Nov 01 2018
Journal Name
International Journal Of Science And Research (ij
Mathematical Models for Predicting of Organic and Inorganic Pollutants in Diyala River Using AnalysisNeural Network
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Diyala river is the most important tributaries in Iraq, this river suffering from pollution, therefore, this research aimed to predict organic pollutants that represented by biological oxygen demand BOD, and inorganic pollutants that represented by total dissolved solids TDS for Diyala river in Iraq, the data used in this research were collected for the period from 2011-2016 for the last station in the river known as D17, before the river meeting Tigris river in Baghdad city. Analysis Neural Network ANN was used in order to find the mathematical models, the parameters used to predict BOD were seven parameters EC, Alk, Cl, K, TH, NO3, DO, after removing the less importance parameters. While the parameters that used to predict TDS were fourte

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Publication Date
Sat Apr 30 2022
Journal Name
Eastern-european Journal Of Enterprise Technologies
Improvement of noisy images filtered by bilateral process using a multi-scale context aggregation network
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Deep learning has recently received a lot of attention as a feasible solution to a variety of artificial intelligence difficulties. Convolutional neural networks (CNNs) outperform other deep learning architectures in the application of object identification and recognition when compared to other machine learning methods. Speech recognition, pattern analysis, and image identification, all benefit from deep neural networks. When performing image operations on noisy images, such as fog removal or low light enhancement, image processing methods such as filtering or image enhancement are required. The study shows the effect of using Multi-scale deep learning Context Aggregation Network CAN on Bilateral Filtering Approximation (BFA) for d

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Publication Date
Sat Jun 01 2019
Journal Name
Journal Of Economics And Administrative Sciences
Diagnosis of factors affecting the strategic implementation of sewage projects ( Case study in General Directorate of sewage projects )
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  This  Research aim to identify the factors affecting the strategic implementation of sewage projects and to seek to activate the real follow-up of projects to identify the factors that accompany their implementation, The study included a sample of the projects of the investment plan implemented for the Directorate General of sewage in the governorates of Iraq, which was completed during the six years period (2010-2016). The sample of the research was four projects: The project of implementation and processing of the treatment plant and the lifting station and the conveyor line for the project of IMARA/The third stage/Al-Sanaf marshland , The project of the processing and implementation of the treatment plant with the

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