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bsj-4212
Content Based Image Retrieval (CBIR) by Statistical Methods
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            An image retrieval system is a computer system for browsing, looking and recovering pictures from a huge database of advanced pictures. The objective of Content-Based Image Retrieval (CBIR) methods is essentially to extract, from large (image) databases, a specified number of images similar in visual and semantic content to a so-called query image. The researchers were developing a new mechanism to retrieval systems which is mainly based on two procedures. The first procedure relies on extract the statistical feature of both original, traditional image by using the histogram and statistical characteristics (mean, standard deviation). The second procedure relies on the T- test to measure the independence between more than images, (coefficient of correlate, T- test, Level of significance, find the decision), and, through experimental test, it was found that this proposed method of retrieval technique is powerful than the classical retrieval System.

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Publication Date
Thu Dec 30 2021
Journal Name
مجلة نسق
تحليل محتوى كتابي الفيزياء للصف الخامس العلمي وفق معايير تصميم وانتاج الانفوجرافيك
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ان الهدف من هذا البحث هو تحليل كتاب الفيزياء للصف الخامس العلمي للمرحلة الاعدادية في ضوء معايير تصميم وانتاج الانفوجرافيك. ويتم التحقق من هدف البحث من خلال الاجابة عن الاسئلة الاتية: ما هي المعايير التي يمكن في ضوئها تقويم كتاب الفيزياءلصف الخامس العلمي؟ ما النسبة الواجب توافرها لمعايير تصميم وانتاج الانفوجرافيك في كتاب الفيزياء لصف الخامس العلمي؟ ما مدى توفر معايير تصميم وانتاج الانفوجرافيك في كتاب الفيزي

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Publication Date
Sat Jan 01 2011
Journal Name
مجلة كليه التربيه الاساسيه
تقويم محتوى كتاب مادة الكيمياء للصف الأول المتوسط على وفق معايير محددة
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يعد التقويم مبدأ مهماً في العملية التعليمية لأنه يساعد في التعرف على الاختلاف بين ما ينبغي تحقيقة وما تحقق فعلاً وما يترتب على ذلك من توصيات لدعم ما تحقق فعلاً (الأهداف التربوية) وتصحيح مسار العملية التعليمية من خلال المقترحات لتلافي السلبيات التي عثرت تحقيق الأهداف الأخرى وبما أن المحتوى هو أحد عناصر المنهج المهمة وهو وسيلة المعلم في أيصال المعلومات وبقائها في ذهن المتعلم أطول فترة ممكنه من خلال تبسيط المفا

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Publication Date
Tue Mar 01 2011
Journal Name
مجله ديالى للبحوث الانسانية
تقويم محتوى كتاب مادة الكيمياء للصف الخامس العلمي على وفق معايير محددة
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ان للمنهج المدرسي أهمية كبيرة جداً في العملية التربوية لأنه أداتها في تحقيق الأهداف التربوية المنشودة والتي تعمل على تقدم المجتمع وتطوره في مختلف الجوانب. بمعنى ان المنهج غير ثابت بل متغير ليواكب التطور والتغير الحاصل في العالم والمجتمع وهذا يعني ان المنهج المدرسي بكل عناصره والتي من ضمنها المحتوى في تطور دائم فما يصلح لفترة زمنية معينة لا يصلح لفترة زمنية قادمة مما يستلزم القيام بعملية تقويمية بشكل مستمر و

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Publication Date
Wed Jun 14 2017
Journal Name
Iraqi Journal Of Market Research And Consumer Protection
ATTITUDE OF OFFICIALS IN THE INDUSTRIAL COMPANY TOWARDS THE PRACTICE OF REVERSE/ AN APPLIED STUDY IN BAGHDAD COMPANY FOR SOFT DRINKS.: ATTITUDE OF OFFICIALS IN THE INDUSTRIAL COMPANY TOWARDS THE PRACTICE OF REVERSE/ AN APPLIED STUDY IN BAGHDAD COMPANY FOR SOFT DRINKS.
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This paper deals with the subject of demarcating as appropriate scientific techniques to rationalize consumption and to control segments of the society for the technical conduct of its handling of the product depending on the mix of elements (product and the volume of demand, Price, promotion and distribution), but inverse manner designed to adjust the working condition of balance between supply and demand and to ensure that rates continue in the marketing process properly, and therefore the research aims to shed light on some of the practices that reflect the Demarketing techniques, As well as the statement of the reality of attitudes towards the practice of those techniques through a sample survey of officials in Baghdad company for so

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Publication Date
Sun Sep 04 2011
Journal Name
Baghdad Science Journal
Combined DWT and DCT Image Compression Using Sliding RLE Technique
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A number of compression schemes were put forward to achieve high compression factors with high image quality at a low computational time. In this paper, a combined transform coding scheme is proposed which is based on discrete wavelet (DWT) and discrete cosine (DCT) transforms with an added new enhancement method, which is the sliding run length encoding (SRLE) technique, to further improve compression. The advantages of the wavelet and the discrete cosine transforms were utilized to encode the image. This first step involves transforming the color components of the image from RGB to YUV planes to acquire the advantage of the existing spectral correlation and consequently gaining more compression. DWT is then applied to the Y, U and V col

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Publication Date
Tue Apr 11 2023
Journal Name
Periodicals Of Engineering And Natural Sciences (pen)
The role of digital content systems used in managing Arab academic scientific journals: An analytical study
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Publication Date
Sat Jan 01 2022
Journal Name
Indonesian Journal Of Electrical Engineering And Computer Science (ijeecs)
Increasing validation accuracy of a face mask detection by new deep learning model-based classification
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During COVID-19, wearing a mask was globally mandated in various workplaces, departments, and offices. New deep learning convolutional neural network (CNN) based classifications were proposed to increase the validation accuracy of face mask detection. This work introduces a face mask model that is able to recognize whether a person is wearing mask or not. The proposed model has two stages to detect and recognize the face mask; at the first stage, the Haar cascade detector is used to detect the face, while at the second stage, the proposed CNN model is used as a classification model that is built from scratch. The experiment was applied on masked faces (MAFA) dataset with images of 160x160 pixels size and RGB color. The model achieve

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Publication Date
Sun Sep 19 2021
Journal Name
Journal Of Petroleum Research And Studies
Enhancing the Rheological Properties of Water-Based Drilling Fluid by Utilizing of Environmentally-Friendly Materials
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Recently, many materials have shown that they can be used as alternatives to chemicals materials in order to be used to improve the properties of drilling fluids. Some of these materials are banana peels and corn cobs which both are considered environmentally- friendly materials. The results of the X-ray diffraction examination have proved that the main components of these materials are cellulose and hemicellulose, which contribute greatly to the increasing of the effectiveness of these two materials. Due to their distinct composition, these two materials have improved the rheological properties (plastic viscosity and yield point) and reduced the filtration of the drilling fluids to a large extent. The addition rates used for each o

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Publication Date
Mon Jun 01 2020
Journal Name
Journal Of Engineering
Improve Rheological Properties of Palygorskite Water-Based Drilling Fluid by Caustic Soda and Soda Ash
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In drilling fluid program, selecting the drilling fluid that will reduce the lost time is the first objective, and will be economical regardless of its cost. The amount and type of solids in drilling fluid is the primary control of the rheological and filtration properties. Palygorskite clay (attapulgite) is an active solid that has the ability to reactive with its environment and form a gel structure within a fluid and due to its stability in the presence of brines and electrolytes this type of clay is preferred for use. The aim of this study is to improve properties of Iraqi palygorskite (PAL) by adding different chemical additives such as caustic soda NaOH and soda ash Na2CO3 with a different con

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Publication Date
Sat Jan 01 2022
Journal Name
Indonesian Journal Of Electrical Engineering And Computer Science
Increasing validation accuracy of a face mask detection by new deep learning model-based classification
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During COVID-19, wearing a mask was globally mandated in various workplaces, departments, and offices. New deep learning convolutional neural network (CNN) based classifications were proposed to increase the validation accuracy of face mask detection. This work introduces a face mask model that is able to recognize whether a person is wearing mask or not. The proposed model has two stages to detect and recognize the face mask; at the first stage, the Haar cascade detector is used to detect the face, while at the second stage, the proposed CNN model is used as a classification model that is built from scratch. The experiment was applied on masked faces (MAFA) dataset with images of 160x160 pixels size and RGB color. The model achieve

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