كتابة النص: الأستاذ الدكتور يوسف أبو العدوس - جامعة جرش قراءة النص: الدكتور أحمد أبو دلو - جامعة اليرموك مونتاج وإخراج : الدكتور محمد أبوشقير، حمزة الناطور، علي ميّاس تصوير : الأستاذ أحمد الصمادي الإشراف العام: الأستاذ الدكتور يوسف أبو العدوس
فيديو بمناسبة الإسراء والمعراج - إحتفال كلية الشريعة بجامعة جرش 2019 - 1440
فيديو بمناسبة ذكرى المولد النبوي الشريف- مونتاج وإخراج الدكتور محمد أبوشقير- كلية تكنولوجيا المعلومات
التميز في مجالات التعليم والبحث العلمي، وخدمة المجتمع، والارتقاء لمصاف الجامعات المرموقة محليا واقليميا وعالميا.
المساهمة في بناء مجتمع المعرفة وتطوره من خلال إيجاد بيئة جامعية، وشراكة مجتمعية محفزة للابداع، وحرية الفكر والتعبير، ومواكبة التطورات التقنية في مجال التعليم، ومن ثم رفد المجتمع بما يحتاجه من موارد بشرية مؤهلة وملائمة لاحتياجات سوق العمل.
تلتزم الجامعة بترسيخ القيم الجوهرية التالية: الإلتزام الإجتماعي والأخلاقي، الإنتماء،العدالة والمساواة، الإبداع، الجودة والتميّز، الشفافية والمحاسبة، الحرية المنظبطة والمستقبلية.
دكتوراة نظم المعلومات الحاسوبية / الذكاء الأصطناعي
PH.D Degree in Computer Information Systems, University of Banking and Financial Sciences, Jordan-2011
Master’s Degree in Information Systems, Arab Academy for Banking and Financial Sciences, Jordan -2000
High Diploma in Information Systems, Arab Academy for Banking and Financial Sciences, Jordan -1999
2010-2011 Manager Department of Computer, Amaken Plaza Hotel, Jordan Amman.
2008-2012 Head of Applied Arts and Information Technology Dept, Al-Andalus Collage.
2000-2011 lecturer, The Arab Collage, Jordan Amman.
2008 Part-time lecturer, NewHorizons , Jordan Amman .
2000-2003 Part-time lecturer, The Arab Academy For Banking And Financial Sciences “AABFS”,Jordan Amman .
2002-2003 Part-time lecturer, Alisra Private UNV, Jordan Amman .
2002-2007 Part-time lecturer, Princess Alia UNV Collage, Jordan Amman.
2001-2002 Part-time lecturer, Al-Fashir UNV, Jordan Amman.
2001-2004 Part-time lecturer, The Kadecy Collage, Jordan Amman.
1999-2000 MIS officer, Multi Base Systems company, Jordan Amman.
Complexity of Arabic writing language makes its handwritten recognition very complex in terms of computeralgorithms. The Arabic handwritten recognition has high importance in modern applications. The contour analysisof word image can extract special contour features that discriminate one character from another by the mean ofvector features. This paper implements a set of pre-processing functions over a handwritten Arabic characters, withcontour analysis, to enter the contour vector to neural network to recognize it. The selection of this set of preprocessingalgorithms was completed after hundreds of tests and validation. The feed forward neural networkarchitecture was trained using many patterns regardless of the Arabic font style building a rigid recognition model.Because of the shortcomings in Arabic written databases or datasets, the testing was done by non-standard dataset. The presented algorithm structure got recognition ratio about 97%.
Fingerprint recently hasquite unique applications in manyfields such as crime investigationand workers attendance control.The fingerprint is a personalidentification tool as it differs fromone person to another. Recentadvances in computer programmingand software production led tofacilitate the use of fingerprint as apowerful computerized tool. Thispaper aims to develop a modifiedhybrid fingerprint recognitionsystem, based on artificial neuralnetwork with Kohonen selforganizedmap (SOM), withminutiae matching technique. Inorder to recognize fingerprints, theacquired fingerprint data setsshould be processed to enhancementthe image for minutiae extraction.Image segmentation technique wasimplemented to localize the effectivearea of the fingerprint followedbefore applying the minutiaeextraction that includes ridgethinning and minutiae marking.Then removal of the H-breaks,isolated points and false minutiae isapplied.
Software maintainability has been considered as a maincharacteristic in many software product quality models. However,these models have different definitions for maintainability andsub characteristics. ISO 9126 is one of the main and mostfrequently used models in software product quality. This modelhas been revised and replaced by ISO 25010 as a new model ofsoftware product quality. In addition to the many modificationsthat were performed on ISO 9126 model, maintainability was oneof the main modified characteristics. However, it was developedunclearly without any standard base, and with no clear definitionor evidence of how the sub characteristics were defined andmodified. This paper investigates these modifications and thedifferences between the definitions of the maintainability in thetwo models, ISO 9126 and ISO 25010. As a result of thisdiscussion, it has been concluded that both models ISO 9126 andISO 25010 lack of a clear definition or standard base for definingsoftware maintainability and its sub characteristics.
Complexity of Arabic writing language makes its handwritten recognition very complex in terms of computer algorithms. The Arabic handwritten recognition has high importance in modern applications. The contour analysis of word image can extract special contour features that discriminate one character from another by the mean of vector features. This paper implements a set of pre-processing functions over a handwritten Arabic characters, with contour analysis, to enter the contour vector to neural network to recognize it. The selection of this set of pre-processing algorithms was completed after hundreds of tests and validation. The feed forward neural network architecture was trained using many patterns regardless of the Arabic font style building a rigid recognition model. Because of the shortcomings in Arabic written databases or datasets, the testing was done by non-standard data set. The presented algorithm structure got recognition ratio about 97%.
المبنى ورقم القاعة
الوقت
اليوم
المادة
المواد التي يدرسها
الهندسة 604
8:00
ح ن
تراكيب البيانات وتنظيم الملفات
9:30
البرمجة الكينونية
الهندسة 610
11:00
البرمجة المتفدمة
الهندسة 603
12:30
الهندسة 301
14:00
البرمجة الكينونية المتقدمة
الساعات
الساعات المكتبية
الى
من
:11
10:30
الأحد
8:30
الاثنين
All Rights Reseved © 2025 - Developed by: Prof. Mohammed M. Abu Shquier Editor: Ali Zreqat
