In light of increasing demand for energy consumption due to life complexity and its requirements, which reflected on architecture in type and size, Environmental challenges have emerged in the need to reduce emissions and power consumption within the construction sector. Which urged designers to improve the environmental performance of buildings by adopting new design approaches, Invest digital technology to facilitate design decision-making, in short time, effort and cost. Which doesn’t stop at the limits of acceptable efficiency, but extends to the level of (the highest performance), which doesn’t provide by traditional approaches that adopted by researchers and local institutions in their studies and architectural practices, limits to assumption of prototypes and their design characteristics to evaluate and select the efficient ones. Without comprehensive coverage to variables range and design possibilities with points of balance between the conflicting influence on performance. Forcing them to shorten, round up and exclude many (values and determinants) to avoid consequent of extra time and effort and the additional costs for performance assessment methods. All due to the cognitive weakness in adopt modern approaches, which become easier for designers to learning and apply. Highlighting (Performance-Based Parametric Design), which achieves this level of performance and avoided all the negative aspects of traditional approaches. Although this approach has been applied in several architecture trends, however, this research will focus on (climate performance and energy consumption). Highlighting a research problem, “lack of cognitive clearness about the nature of adopting parametric approach for performance-based design in order to achieve more efficient designs”. The research will focus on local housing patterns as a simplified model for applying the parametric approach, So the research goal will be “Highlighting and unveiling the nature of the parametric approach and its mechanism in performance-Based Design, to create and optimize design characteristics, towards most efficient designs within the local housing styles”. To achieve this goal was to build a hypothesis “The mechanism of parametric approach Managed to address a conflict influence of design characteristics in building’s thermal and light performance, such as (dimensions, locations orientation of building spaces and windows to wall area ratio). To reach a balancing point between them, for maximum reduction in cooling energy consumption in the summer, while keeping a comfortable level of natural lighting.” The research adopted an applied method to Revealed the parametric design mechanism To represent these characteristics as (parameters) to process and test them within three sequential process, (modeling, simulation and optimization), combined in one digital tool, uses algorithm to select the effective characteristics, that matching the resulted performance with specific criteria determined by the designer. The approach optimizes characteristics of three local housing pattern (Detached, Attached, and courtyard), within local environment, in order to achieve optimal efficient design. Ending with a set of conclusions about the importance and necessity of adopting this new approach within local architectural and environmental practices and studies.
Teachers play a critical role in planning, organizing, coordinating, monitoring, and instructing, hence the topic of leadership styles receives a lot of attention. As a result, the physical education school is regarded as the most significant component of the educational process because it has the ability to weave together the teaching and educational skills, attitudes, and capacities that its students develop. Fits into their identities through her relationship with them. Teachers play a critical role in planning, organizing, coordinating, monitoring, and instructing, hence the topic of leadership styles receives a lot of attention. As a result, the physical education school is regarded the most significant aspect in the educational proces
... Show MoreThe research objectives, to build a measure of the level of tactical performance of volleyball players applying for the Iraqi Premier League for the 2018-2019 season. The nature of the research problem, then the researchers determined the research sample in the deliberate manner of the players of the Iraqi clubs for the Premier League (B, A). The researchers adopted the entire community as a sample for the research, and the number (156) players distributed over (13) clubs and divided the sample into (12)players an exploratory experiment player representing (the police club) and (100) player representing the construction sample and after a maximum period of two months has passed since applying the scale to the construction sample the researc
... Show MoreThis study aims to identify the impact of using the infrastructure of the Information Technology (IT) on the performance of human resources in the public universities. This process is done by doing research in the size, quality, and efficiency of the performance, also speed of achievement and simplification of procedures. Diyala University was chosen for the diagnosis through the opinions and attitudes of its employees. Consequently, suggestions that contribute to improve the performance of the employees and thus its overall performance are obtained. Another objective of this study is identifying the human resources which are currently used in academic institutions and educational services systems because the significant role of th
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Image classification is the process of finding common features in images from various classes and applying them to categorize and label them. The main problem of the image classification process is the abundance of images, the high complexity of the data, and the shortage of labeled data, presenting the key obstacles in image classification. The cornerstone of image classification is evaluating the convolutional features retrieved from deep learning models and training them with machine learning classifiers. This study proposes a new approach of “hybrid learning” by combining deep learning with machine learning for image classification based on convolutional feature extraction using the VGG-16 deep learning model and seven class
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Image classification is the process of finding common features in images from various classes and applying them to categorize and label them. The main problem of the image classification process is the abundance of images, the high complexity of the data, and the shortage of labeled data, presenting the key obstacles in image classification. The cornerstone of image classification is evaluating the convolutional features retrieved from deep learning models and training them with machine learning classifiers. This study proposes a new approach of “hybrid learning” by combining deep learning with machine learning for image classification based on convolutional feature extraction using the VGG-16 deep learning model and seven class
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Abstract Asthma is a complex disease defined by chronic airway inflammation and airflow limitation causing variable respiratory symptoms which include shortness of breath (SOB), wheezing, chest tightness and cough. Asthma guidelines advocate adding a second long acting bronchodilator to medium doses of inhaled corticosteroids (ICS) rather using high doses of ICS alone to control moderate to severe persistent asthma. The aim of this study was to evaluate the clinical outcomes of three medication regimens indicated for Iraqi patients suffering from persistent asthma. This study was interventional randomized clinical study conducted on a sample of adult Iraqi asthmatic patients in Baghdad City. The study com
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Abstract
Asthma is a complex disease defined by chronic airway inflammation and airflow limitation causing variable respiratory symptoms which include shortness of breath (SOB), wheezing, chest tightness and cough. Asthma guidelines advocate adding a second long acting bronchodilator to medium doses of inhaled corticosteroids (ICS) rather using high doses of ICS alone to control moderate to severe persistent asthma. The aim of this study was to evaluate the clinical outcomes of three medication regimens indicated for Iraqi patients suffering from persistent asthma.
This study was interventional randomized clinical study conducted on a sample of adult Iraqi asthm
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Semi-parametric models analysis is one of the most interesting subjects in recent studies due to give an efficient model estimation. The problem when the response variable has one of two values either 0 ( no response) or one – with response which is called the logistic regression model.
We compare two methods Bayesian and . Then the results were compared using MSe criteria.
A simulation had been used to study the empirical behavior for the Logistic model , with different sample sizes and variances. The results using represent that the Bayesian method is better than the at small samples sizes.
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