This research is Interested in how the performance and implementation of factory production engine coolants of the General Company for Electrical Industries of its work, and to facilitate the flow of the decisions of senior management and access to all configurations, to ensure differentiation desired and reduce lost sales, resulting from poor scheduling of operations through the application of certain rules of scheduling operations in the production plant Engines Air-cooler, the objectives of research in identifying the best base and working to reduce the time and cost of Same Rules of Process which are considered the most influential of any organization and through them can achieve differentiation, compared with companies with established.
The research found several important results such as reducing time and cost of production through the replacement of currently used FCFS rule is first-come, first done for being discretionary ways that can cause weakness in the scheduling system processes used.
This paper proposes a new method Object Detection in Skin Cancer Image, the minimum
spanning tree Detection descriptor (MST). This ObjectDetection descriptor builds on the
structure of the minimum spanning tree constructed on the targettraining set of Skin Cancer
Images only. The Skin Cancer Image Detection of test objects relies on their distances to the
closest edge of thattree. Our experimentsshow that the Minimum Spanning Tree (MST) performs
especially well in case of Fogginessimage problems and in highNoisespaces for Skin Cancer
Image.
The proposed method of Object Detection Skin Cancer Image wasimplemented and tested on
different Skin Cancer Images. We obtained very good results . The experiment showed that
The global challenges of contemporary facing societies urge to seek and move to adopt the style conscious in the face of these challenges and work on the investment of human resources and energies humanitarian efficient and effective for the development of the institutional and Management and make it more efficient and effective and meets the requirements and keep pace with global developments , and more aspects of managerial aim is Total Quality Management , as it has become thanks to the sheer amount and large accelerated technical developments and information and communication technologies , which feature of this era , and in the field of education , the charge of it are seeking through the application of total quality management to b
... Show Moreلم يكن من السهولة على الباحث في مجال التربية والتعليم تحديد مراحل التعليم في العصر العباسي الأخير او وضع فواصل محددة بين تلك المراحل المختلفة من ذلك العصر، لان التعليم آنذاك كان يتميز بالمرونة التي تتيح للتعليم الحرية المطلقة في اختيار نوع الدراسة والمادة الدراسية التي يريد دراستها.
فكانت المساجد والكتاتيب والمجالس العامة والخاصة هي المؤسسات العلمية الاولى للتعليم عند المسلمين في عهد ال
... Show MoreThe research covered Creeds in Assyrian Sculpture
(Assyrian Sculptures) The ability of the Assyrian sculptor to
contrast these creeds and tendon in Assyrian sculpture, in various variations, including prominent and stereotypical plaques and winged bulls, in addition to the obelisks and hunting scenes of the Lionسion hunting scenes of the black
... Show Moreان دراسة الاحوال الاجتماعية في الاسكندرية خلال العصر المملوكي امر مهم لاسيما ان الحياة الاجتماعية في مصر عامة والاسكندرية خاصة اتصفت بكونها بطيئة التغيير خلاف جوانب الحياة الاخرى التي اتصفت بسرعة تغير مجراها كما وان تاريخ الاسكندرية الاجتماعي كان زاخرا بالكثير من نواحي النشاط الانساني من ميادين العمل والتسلية والترفيه والاعياد والافراح فضلا عن تنوع عناصره السكانية وهذا ما سنتناوله ضمن محاور هذا البحث.
... Show MoreThe current researsh is aimed to pay attention on concept of human resources hard (Difficult) to manage. Such style of human resourcses has emerged to form anew challenge for busniess organizations.
Management such human resources entails first determing incentives of their behaviour models. Analyzing these models will be important to strategical management of them from work.
In nutshell, this researsh try to recommendation of contemporary literature about future of difficult (hard) human resources management.
Abstract
The research Compared two methods for estimating fourparametersof the compound exponential Weibull - Poisson distribution which are the maximum likelihood method and the Downhill Simplex algorithm. Depending on two data cases, the first one assumed the original data (Non-polluting), while the second one assumeddata contamination. Simulation experimentswere conducted for different sample sizes and initial values of parameters and under different levels of contamination. Downhill Simplex algorithm was found to be the best method for in the estimation of the parameters, the probability function and the reliability function of the compound distribution in cases of natural and contaminateddata.
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To evaluate the toxicity of benzalkonium chloride in aquaculture, the hemato-serological indices of Nile tilapia Oreochromis niloticus are used as biomarkers. Following exposure to three concentrations of benzalkonium chloride BAC 0.1, 0.25, 0.50, and 1 mg/l (BAC1,2,3 and 4) in aquaria for two durations 21 and 42 days, the microbiological assay in fish aquaria, in addition to blood parameters were assessed. Except for the mean difference between BAC2 and BAC3 (P > 0.05) at 42 days, the mean values of the bacterial counts revealed a significant difference between all compared groups (0.05 ≥ P ≤ 0.01). Following exposure to the lower concentrations of BAC (1, 2 and 3), the main blood parameters of Oreochromis niloticus namely red bl
... Show MoreHeart disease is a significant and impactful health condition that ranks as the leading cause of death in many countries. In order to aid physicians in diagnosing cardiovascular diseases, clinical datasets are available for reference. However, with the rise of big data and medical datasets, it has become increasingly challenging for medical practitioners to accurately predict heart disease due to the abundance of unrelated and redundant features that hinder computational complexity and accuracy. As such, this study aims to identify the most discriminative features within high-dimensional datasets while minimizing complexity and improving accuracy through an Extra Tree feature selection based technique. The work study assesses the efficac
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