doi:10.24996/ijs.2021.SI.1.32

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Publication Date

Thu Jan 14 2021

Journal Name

Iraqi Journal Of Science

DOI

10.24996/ijs.2021.SI.1.32

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On-line Analytical Processing (OLAP) Operation for Outpatient Healthcare

Data Cubes

Data warehouse (Star schema)

OLAP

Talib M. J. Al Taleb

Sami Hasan

Yaqoob Yousif Mahd

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This paper presents an architecture for the data warehouse of outpatient healthcare (DWOP) as a data repository collects data from two different sources (Databases of outpatient healthcare and Excel files from hospitals) and provides storage, functionality and responsiveness to queries to meet decision makers requirements.
Successfully supporting managerial decision-making is critically dependent upon the availability of integrated, high quality information organized and presented in a timely and easily understood manner. â€œOn-Line Analytical Processing (OLAP) is utilized for decision support to get interesting informationâ€ from the data warehouse with a rapid execution time. OLAP is considered one of Business Intelligence tools.

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Publication Date

Mon Sep 20 2021

Journal Name

Key Engineering Materials

Effect of Partial Substitution of Sr by Ba on the Structural Properties of Tl0.8Ni0.2Sr2-xBrxCa2Cu3O9-δ System

Mohammed Abdul Nebi

Rihab Nassr

Shatha Hashim

Kareem Ali

Auday H.

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In this manuscript, the effect of substituting strontium with barium on the structural properties of Tl_0.8Ni_0.2Sr_2-xBr_xCa₂Cu₃O_9-δcompound with x= 0, 0.2, 0.4, have been studied. Samples were prepared using solid state reaction technique, suitable oxides alternatives of Pb₂O₃, CaO, BaO and CuO with 99.99% purity as raw materials and then mixed. They were prepared in the form of discs with a diameter of 1.5 cm and a thickness of (0.2-0.3) cm under pressures 7 tons / cm², and the samples were sintered at a constant temperature o

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Publication Date

Tue Jun 01 2021

Journal Name

Iop Conference Series: Earth And Environmental Science

Performance Evaluation of Al-Karkh Water Treatment Plant Using Model-driven and Data-Driven Models

Operational performance evaluation

water treatment plant

multiple linear regression

multivariate multiple regression

artificial neural network model

model-driven and data-driven modeling types.

Basim Hussein

Awatif Soaded

Basim H.

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AbstractThere is a great operational risk to control the day-to-day management in water treatment plants, so water companies are looking for solutions to predict how the treatment processes may be improved due to the increased pressure to remain competitive. This study focused on the mathematical modeling of water treatment processes with the primary motivation to provide tools that can be used to predict the performance of the treatment to enable better control of uncertainty and risk. This research included choosing the most important variables affecting quality standards using the correlation test. According to this test, it was found that the important parameters of raw water: Total Hardn ... Show More

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Publication Date

Mon Jun 05 2023

Journal Name

Journal Of Engineering

Image Compression Using 3-D Two-Level Technique

Image compression

3-D two level wavelet transform

3-D two level multi-wavelet transform

3-D two level hybrid technique

Image data properties

Zainab Ibraheem

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In this paper three techniques for image compression are implemented. The proposed techniques consist of three dimension (3-D) two level discrete wavelet transform (DWT), 3-D two level discrete multi-wavelet transform (DMWT) and 3-D two level hybrid (wavelet-multiwavelet transform) technique. Daubechies and Haar are used in discrete wavelet transform and Critically Sampled preprocessing is used in discrete multi-wavelet transform. The aim is to maintain to increase the compression ratio (CR) with respect to increase the level of the transformation in case of 3-D transformation, so, the compression ratio is measured for each level. To get a good compression, the image data properties, were measured, such as, image entropy (He), percent r

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Publication Date

Mon Jan 13 2025

Journal Name

Journal Of Engineering

Image Compression Using 3-D Two-Level Techniques

Image compression

3-D two level wavelet transform

3-D two level multi-wavelet transform

3-D two level hybrid technique

Image data properties.

Zainab

...Show More Authors

In this paper three techniques for image compression are implemented. The proposed techniques consist of three dimension (3-D) two level discrete wavelet transform (DWT), 3-D two level discrete multi-wavelet transform (DMWT) and 3-D two level hybrid (wavelet-multiwavelet transform) technique. Daubechies and Haar are used in discrete wavelet transform and Critically Sampled preprocessing is used in discrete multi-wavelet transform. The aim is to maintain to increase the compression ratio (CR) with respect to increase the level of the transformation in case of 3-D transformation, so, the compression ratio is measured for each level. To get a good compression, the image data properties, were measured, such as, image entropy (He), percent root-

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Publication Date

Mon Nov 01 2010

Journal Name

Al-nahrain Journal Of Science

Chemical Elements Diffusion in the Solar Interior

The standard solar model and equation of state have been used to study relative diffusion of Hydrogen and Helium in the present time for solar interior

as a function of distance and depth from the center of the star. The effects of temperature and density on diffusion velocity for these chemical elements have been explaned. It is found that heat flow which is arising from these reactions leads to an increase in helium diffusion velocity

while the temperature and density leading to a decrease in Hydrogen diffusion velocity. This means that Hydrogen behaves inversely with that for helium does through these reactions. Accordingly

diffusion percentages for Hydrogen

Helium and other Heavy Elements could be determined for the main sequence stars and white dwarf stars.

H.

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Publication Date

Sat Oct 01 2016

Journal Name

Journal Of Theoretical And Applied Information Technology

Factors affecting global virtual teams’ performance in software projects

Today the trend is to perform software development work via distributed geographical area among team

individual or even as an organization. However

due to the global market and international presence of many companies

there is a need to implement a global virtual teams. The global virtual team members are gradually engaged in globalized business environments across space

time and organizational boundaries via information and communication technologies. A global virtual team relies on communication

collaboration

and information exchange are the most important criteria in global virtual teams’ operations. The purpose of this paper is to answer two research questions. The first research question is to identify the factors affecting global virtual teams’ performance. A systematic literature review was conducted to answer the first research question. The second research question is on what the rank of the factor affecting the global virtual teams’ performance according to their level of effect on global virtual teams’ performance. Online survey was conducted within 103 developers and IT managers from eight IT companies to answer the second research question. The Statistical Package for Social Science (SPSS 22) was used to analyze the collected data. In this study

we investigated factors that affect global virtual teams’ performance

factors considered include cultural differences

language problems

time-zone differences

team size

technical problems

lack of trust

lack of sufficient training

and ICT problems. Also the findings indicated that lack of sufficient training is the highest level of effect on global virtual teams’ performance. On the other hand

Ali Yahya Gheni

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