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A RAISIN IN THE SUN: the dream of RECOGNITION
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Lorraine Hansberry’s A Raisin in the Sun (1959) appeared at the beginning of renewed political activity on the part of the blacks; it is a pamphlet about the dream of recognition of black people and the confusion of purposes and means to reach such recognition. It embodies ideas that have been uncommon on the Broadway stage in any period. Situations such as a black family moving into an all-white neighborhood were not familiar before this time; they were just beginning to emerge. In depicting this so realistically, Hansberry depends more on her personal experience as an African American embittered by social prejudices and discrimination. 

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Publication Date
Sat May 23 2026
Journal Name
Journal Of Education College
Photographing the Arab heritage and its impact on Hebrew literature Comparative analysis study
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Publication Date
Thu Aug 01 2019
Journal Name
Journal Of Economics And Administrative Sciences
تحسين " مقدرات المتغيرات المساعدة بطريقة جاكنايف " باستعمال صنف من أصناف خوارزمية المناعة مع تطبيق عملي
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تستند أغلب الطرائق الحصينة على فكرة التنازل عن جانب معين مقابل تقوية جانب آخر من خلال عدة أساليب أما آليات الذكاء الصناعي تحاول عمل موازنة بين الضعف والقوة للوصول إلى أفضل الحلول بأسلوب بحث عشوائي . في هذا البحث تم تقديم فكرة جديدة لتحسين مقدرات معلمات نماذج المعادلات الآنية الخطية الناتجة من طريقة المتغيرات المساعدة حسب طريقة جاكنايف Jackknife Instrumental Variable Estimation(JIVE) وذل

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Publication Date
Sat Apr 01 2023
Journal Name
Baghdad Science Journal
A Study of a-Si:H Absorption Edge Using Dunstan’s Model
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The optical absorption data of Hydrogenated Amorphous Silicon was analyzed using a Dunstan model of optical absorption in amorphous semiconductors. This model introduces disorder into the band-band absorption through a linear exponential distribution of local energy gaps, and it accounts for both the Urbach and Tauc regions of the optical absorption edge.Compared to other models of similar bases, such as the O’Leary and Guerra models, it is simpler to understand mathematically and has a physical meaning. The optical absorption data of Jackson et al and Maurer et al were successfully interpreted using Dunstan’s model. Useful physical parameters are extracted especially the band to the band energy gap , which is the energy gap in the a

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Publication Date
Sun Mar 07 2010
Journal Name
Baghdad Science Journal
Proposed methods of image recognition depend on the PCA
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This paper suggest two method of recognition, these methods depend on the extraction of the feature of the principle component analysis when applied on the wavelet domain(multi-wavelet). First method, an idea of increasing the space of recognition, through calculating the eigenstructure of the diagonal sub-image details at five depths of wavelet transform is introduced. The effective eigen range selected here represent the base for image recognition. In second method, an idea of obtaining invariant wavelet space at all projections is presented. A new recursive from that represents invariant space of representing any image resolutions obtained from wavelet transform is adopted. In this way, all the major problems that effect the image and

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Publication Date
Thu Jul 01 2021
Journal Name
Computers & Electrical Engineering
A new proposed statistical feature extraction method in speech emotion recognition
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Publication Date
Wed May 19 2021
Journal Name
Muthanna Journal For Agricultural Sciences
Effect of Climate Changes and Coefficient of Surface Roughness on Soil Loss by Wind Erosion in Some Central and Southern Iraq
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وضع (woodruff and siddoway, 1965) معادلة لتقدير مفقودات التربة بواسطة التعرية الريحية تدعى (معادلة التعرية الريحية (WEQ، إذ يعطي حل هذه المعادلة الكمية القصوى للتعرية الريحية تحت ظروف حقلية معينة، وتعتبر دليل في تحديد الأساليب الضرورية لمعالجة التعرية الريحية في تلك الظروف (الطيف وآخرون، 1991). تهدف هذه الدراسة إلى معرفة مدى تأثير التغيرات المناخية في منطقة السماوة جنوب العراق وبغداد وسط العراق طوال فترة 34 سنة في قيم مفقودات

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Publication Date
Thu Mar 25 2021
Journal Name
Engineering And Technology Journal
The Effect of the Number of Key-Frames on the Facial Emotion Recognition Accuracy
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Key-frame selection plays an important role in facial expression recognition systems. It helps in selecting the most representative frames that capture the different poses of the face. The effect of the number of selected keyframes has been studied in this paper to find its impact on the final accuracy of the emotion recognition system. Dynamic and static information is employed to select the most effective key-frames of the facial video with a short response time. Firstly, the absolute difference between the successive frames is used to reduce the number of frames and select the candidate ones which then contribute to the clustering process. The static-based information of the reduced sets of frames is then given to the fuzzy C-Means algor

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Publication Date
Sun Jan 02 2022
Journal Name
Advances In Science And Technology Research Journal
Vein Biometric Recognition Methods and Systems: A Review
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Publication Date
Mon Mar 23 2020
Journal Name
Journal Of Engineering
Improving Photovoltaic Panel (PV) Efficiency via Two Axis Sun Tracking System
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In this paper two axis sun tracking method is used to absorb maximum power from the sun's rays on the solar panel via calculating the sun’s altitude and azimuth angles, which describe the solar position on the Iraqi capital Baghdad for the hours 6:00, 7:00, 8:00, 9:00, 12:00, 15:00 and 17:00 per day. The angles were calculated in an average approach within one month, so certain values were determined for each month. The daily energy achieved was calculated for the solar tracking method compared with the fixed tracking method. Designed, modeled and simulated a control circuit consisting of reference position truth table, PI Controller and two servomotors that tracked the sun position to adjust the PV panel perpendicular

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Publication Date
Sun Jan 10 2016
Journal Name
British Journal Of Applied Science & Technology
The Effect of Classification Methods on Facial Emotion Recognition ‎Accuracy
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The interests toward developing accurate automatic face emotion recognition methodologies are growing vastly, and it is still one of an ever growing research field in the region of computer vision, artificial intelligent and automation. However, there is a challenge to build an automated system which equals human ability to recognize facial emotion because of the lack of an effective facial feature descriptor and the difficulty of choosing proper classification method. In this paper, a geometric based feature vector has been proposed. For the classification purpose, three different types of classification methods are tested: statistical, artificial neural network (NN) and Support Vector Machine (SVM). A modified K-Means clustering algorithm

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