<span>One of the main difficulties facing the certified documents documentary archiving system is checking the stamps system, but, that stamps may be contains complex background and surrounded by unwanted data. Therefore, the main objective of this paper is to isolate background and to remove noise that may be surrounded stamp. Our proposed method comprises of four phases, firstly, we apply k-means algorithm for clustering stamp image into a number of clusters and merged them using ISODATA algorithm. Secondly, we compute mean and standard deviation for each remaining cluster to isolate background cluster from stamp cluster. Thirdly, a region growing algorithm is applied to segment the image and then choosing the connected regi

The present study aims to explore the effectiveness of a proposed study unit based on the funds of knowledge theory in developing the attitudes towards cultural identity and the proposed study unit. In order to achieve the goal of the study, the two researchers followed the quasi-experimental approach, where the study sample consisted of (28) female students of the fifth-grade at Al-Jeelah Basic Education School, Al-Dakhiliyah Governorate in the Sultanate of Oman. The data were collected by two scales: the first is a scale of attitudes towards cultural identity consisting of (26) items. The second was a scale of attitudes towards the proposed study unit, which consisted of (24) items. The results of the study revealed that the effect of

This study was conducted to estimate some heavy metals cadmium, lead, nickel and iron in 15 samples of Iraqi honey with 3 replicates for each sample which were collected from apiaries near potential contamination areas in five Iraqi governorates, including Baghdad, Karbala, Babylon, Diyala and Salah al-Din. The atomic absorption technique was used to estimate the concentrations of heavy metals, the results showed that there were significant differences at (P≤0.05) between the concentrations of these elements in the honey samples, the highest concentrations of cadmium 0.123 mg/kg were recorded in Baghdad, near the petrochemical production complex, lead 4.657 mg/kg and nickel 0.023 mg/kg in Babylon near the power plant, iron was

The art of analogy is considered the first of the graphic arts, while
Ibn al-Mu'taz counted it in the second section of his wonderful book
was labeled with the art of simile due to his frequent use of the art of
simile in his poetry

مفهوم البعد الواحد في الرسم العراقي المعاصر

Şiiri şiir yapan öğlerin başında imge (hayal, tasavvur, imaj) gelir. İmgesiz şiir düşünülmez. İmge nedir?
İmge duyuyla elde edilen güzelliklerin, deneyimin dil aracıyla ortaya konulmasıdır. Şiiri şiir yapan sadece içeriği değil. Sunuluşu, imgelerin etkili bir biçimde kullanılışı, şairinin bu konudaki yetenek ve ustalığı, insana hitap etmesi, değişimlere açık oluşu, evrenselliği, kalıcılığı, sıra dışı güçlü anlatığına başvuruşu, söz sanatlarından yararlanması, öz anlatım biçimi, kimi zaman alışılmamış bağdaştırmaları bünyesinde barındırması ve sık sık da yinelemeler yardımıyla zengin anlatım aktarımıdır.
Biz bu çalışmamızda şiirde yalnızca imge

الرؤيا واداء التشكيل في النحت العراقي المعاصر

تعددت آراء المفكرين الاسلاميين المعاصرين حول الدولة الاسلامية بعد سقوط الخلافة العثمانية بصورة خاصة نتيجة لتأثر هؤلاء المفكرين بالمفاهيم التي سادت في الثقافة الغربية ، ومنها مفهوم الدولة ، حيث لم يتطرق الفكر الاسلامي الى مناقشة مفهوم الدولة الاسلامية قبل هذه الفترة ، لان اهتمامهم كان منصبا بالتظير حول موضوع السلطة . وسيتم التطرق في هذا البحث لمفهوم الدولة لدى المفكرين الاسلاميين المعاصر

Wisconsin Breast Cancer Dataset (WBCD) was employed to show the performance of the Adaptive Resonance Theory (ART), specifically the supervised ART-I Artificial Neural Network (ANN), to build a breast cancer diagnosis smart system. It was fed with different learning parameters and sets. The best result was achieved when the model was trained with 50% of the data and tested with the remaining 50%. Classification accuracy was compared to other artificial intelligence algorithms, which included fuzzy classifier, MLP-ANN, and SVM. We achieved the highest accuracy with such low learning/testing ratio.