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Article
Design of a PC-Based Command and Control System Using Alpha-Beta-Gamma Digital Tracking Filter
تصميم منظومة قيادة وسيطرة بأعتماد الحاسبة الشخصية وأستخدام مرشح التتبع الرقمي الفا-بيتا-كاما

Author: Duraid Fiz’a Mohammad دريد فزع محمد
Journal: AL Rafdain Engineering Journal مجلة هندسة الرافدين ISSN: 18130526 Year: 2012 Volume: 20 Issue: 3 Pages: 92-102
Publisher: Mosul University جامعة الموصل

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Abstract

AbstractIn this paper, a software model for a Command and Control system is implemented on personal computer. This model can also be used for navigation, or Air Traffic Control (ATC) systems. The hardware required for implementation of this system is also described in this paper. The system assumed to have a fixed position detection source such as the surface search radar. The principle of Track-While-Scan (TWS) that combines the automatic detection of targets and the automatic multi target tracking is used.The Simplified Alpha-Beta-Gamma (--) digital filter is used to perform the algorithm of the automatic tracking. The model main program and all necessary routines are written in C++ language. Successful tests for the implementation of this system are achieved.Keywords: Command and Control, Track-While-Scan, target, Alpha-Beta-Gamma filter, navigation, ATC

الخلاصة تم في هذا البحث تصميم وفحص عمل أنموذج برمجي لمنظومة قيادة وسسيطرة باستخدام الحاسبة الشخصية. وهذا النموذج يمكن تطبيقه ايضا" لمنظومات الملاحة أو السيطرة الجوية. كذلك تم وصف المتطلبات المادية لتنقيذ مثل هكذا منظومة. تم تصميم هذه المنظومة لتعمل على كشف الأهداف بأستخدام الرادار الأرضي الثابت ومبدأ التتبع خلال عملية المسح والذي يجمع بين مبدأ الكشف والمتابعة الطوعيان لأكثر من هدف في آن واحد.تم في هذا البحث استخدام المرشح الرقمي الفا-بيتا-كاما المبسط لتنفيذ خوارزميات التتبع الطوعي، واعتماد لغة C++ في بناء هذة المنظومة، علما" انه قد تم اختبار عمل هذه المنظومة بنجاح.


Article
ON-LINE HANDWRITTEN ARABIC CHARACTER RECOGNITION BASED ON GENETIC ALGORITHM
تشخیص الاحرف العربیة بالكتابة المباشرة إعتمادا على الخوارزمیة الجینیة

Author: Haithem Abd Al-RaheemTaha هیثم عبد الرحیم طه
Journal: DIYALA JOURNAL OF ENGINEERING SCIENCES مجلة ديالى للعلوم الهندسية ISSN: 19998716/26166909 Year: 2012 Volume: 5 Issue: 1 Pages: 79-87
Publisher: Diyala University جامعة ديالى

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Abstract

ABSTRACT:- On-line Arabic handwritten character recognition is one of the most challenging problems in pattern recognition field. By now, printed Arabic character recognition and on-line Arabic handwritten recognition has been gradually practical, while offline Arabic handwritten character recognition is still considered as "The hardest problem to conquer" in this field due to its own complexity. Recently, it becomes a hot topic with the release of database, which is the first text-level database and is concerned about the area of realistic Arabic handwritten character recognition. At the realistic Arabic handwritten text recognition and explore two aspects of the problem. Firstly, a system based on segmentation-recognition integrated framework wasdeveloped for Arabic handwriting recognition. Secondly, the parameters of embedded classifier initialed at character-level training were discriminatively re-trained at string level. The segmentation-recognition integrated framework runs as follows: the written character is first over-segmented into primitive segments, and then the consecutive segments are combined into candidate patterns. The embedded classifier is used to classify all the candidate patterns in segmentation lattice. According to Genetic Algorithm (Crossover, mutation, and population), the system outputs the optimal path in segmentation-recognition lattice, which is the final recognition result. The embedded classifier is first trained at character level on isolated character and then the parameters are updated at string level on string samples.Keywords: Arabic Character, handwritten recognition, Genetic Algorithm.

الخلاصةان تشخیص كتابة الاحرف العربیة في الزمن الحقیقي یعتبر من اكثر التحدیات في مجال التعرف على الاشكال. وهناك دراسات حول التشخیص للاحرف العربیة ما زالت تعتبر من المشاكل المعقده في هذا المجال. الهدف من البحث هو التشخیص للاحرف العربیة بخط الید واستكشاف الجوانب الثلاثة في بحثنا، اولا ان النظامیقوم على ت شخیص بشكل مجزء ضمن الاطار المتكامل للتعرف على خط الید باللغة العربیة، ثانیا،ً ان البارامیترات الخاصة بالتصنیف لعملیة البدء عند مستوى التعلیم لحالة الحرف المخطوط یدویا تقوم بتمییز مستوى الحرف عند مستوىالتدریب.تشخیص المقاطع في اللوحة المهیئة لكتابة الحرف تكون حسب التالي: كتابة الحر ف المقاطع الاولیة، وبعد ذلك یتم جمع المقاطع على التوالي في نموذج ترشیحي.و ثم یتم تصنیف جمیع النماذج في شبكه عبار ة عن مقاطع. وبالاستناد الى الخوارزمیة الجینیة (التبادل، الطفرات، والتوزیع)، فان الاخراج یكون ناتج عن المسار الامثل في للنموذج الترشیحي وهي التي تعتبر الناتج النهائي. یتم تدریب المصنف الأول على مستوى جزءا لا یتجزأ وذلك بعزل حرف على حرف ومن ثم یتم تحدیث المعلمات على مستوى السلسلة على عینات تم حفظها في قاعدة بیانات لمقارنتها مستقبلا بالادخال الجدید.

Keywords

ABSTRACT:- On-line Arabic handwritten character recognition is one of the most challenging problems in pattern recognition field. By now --- printed Arabic character recognition and on-line Arabic handwritten recognition has been gradually practical --- while offline Arabic handwritten character recognition is still considered as "The hardest problem to conquer" in this field due to its own complexity. Recently --- it becomes a hot topic with the release of database --- which is the first text-level database and is concerned about the area of realistic Arabic handwritten character recognition. At the realistic Arabic handwritten text recognition and explore two aspects of the problem. Firstly --- a system based on segmentation-recognition integrated framework was developed for Arabic handwriting recognition. Secondly --- the parameters of embedded classifier initialed at character-level training were discriminatively re-trained at string level. The segmentation-recognition integrated framework runs as follows: the written character is first over-segmented into primitive segments --- and then the consecutive segments are combined into candidate patterns. The embedded classifier is used to classify all the candidate patterns in segmentation lattice. According to Genetic Algorithm --- Crossover --- mutation --- and population --- the system outputs the optimal path in segmentation-recognition lattice --- which is the final recognition result. The embedded classifier is first trained at character level on isolated character and then the parameters are updated at string level on string samples. Keywords: Arabic Character --- handwritten recognition --- Genetic Algorithm.


Article
Evaluation of serum anti-cyclic citrullinated peptide antibodies level in rheumatoid patients with and without periodontitis

Author: Fatin M. Jarallah فاتن جار الله
Journal: Journal of baghdad college of dentistry مجلة كلية طب الاسنان بغداد ISSN: 16800087 Year: 2012 Volume: 24 Issue: 4 Pages: 83-87
Publisher: Baghdad University جامعة بغداد

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Abstract

Background: Rheumatoid arthritis (RA) and periodontitis (PD) are widely prevalent diseases and are characterized bytissue destruction due to chronic inflammation. Recently, there is growing evidence that the two diseases sharemany pathological features. An association between periodontitis and rheumatoid arthritis has been consideredmany years ago. The current study was established to evaluate the serum ACCP levels in rheumatoid arthritis patientswith and without periodontitis, in addition to study the correlation between serum ACCP levels and periodontalparameters.Subjects and methods: A total of 95 subjects were enrolled in this study, age ranged (35 – 55) years divided into 3groups: Group I consist of 45 rheumatoid arthritis patients with periodontitis, while group II consist of 35 rheumatoidarthritis patients without periodontitis and group ÉÉÉ which consist of 15 apparently- healthy controls. . Periodontalparameters used in this study were plaque index (PI), gingival index (GI), probing pocket depth (PPD), clinicalattachment level (CAL) and bleeding on probing (BOP). Blood samples were collected from each subject todetermine serum concentrations of ACCP by means of enzyme-linked immune-sorbent assay (ELISA).Results: present study revealed that serum ACCP levels were significantly higher in rheumatoid patients withperiodontitis (P<0.001) than that in other two groups. Regarding the correlation between serum ACCP levels andperiodontal parameters, the current study showed positive correlation between serum ACCP and each of plaqueindex, gingival index and probing pocket depth.Conclusion: The current results provide strong evidence of association between periodontitis and rheumatoid arthritis,and suggested that periodontitis may play an important role in activation and triggering immune response

Keywords

Background: Rheumatoid arthritis --- RA and periodontitis --- PD are widely prevalent diseases and are characterized by tissue destruction due to chronic inflammation. Recently --- there is growing evidence that the two diseases share many pathological features. An association between periodontitis and rheumatoid arthritis has been considered many years ago. The current study was established to evaluate the serum ACCP levels in rheumatoid arthritis patients with and without periodontitis --- in addition to study the correlation between serum ACCP levels and periodontal parameters. Subjects and methods: A total of 95 subjects were enrolled in this study --- age ranged --- 35 – 55 years divided into 3 groups: Group I consist of 45 rheumatoid arthritis patients with periodontitis --- while group II consist of 35 rheumatoid arthritis patients without periodontitis and group ÉÉÉ which consist of 15 apparently- healthy controls. . Periodontal parameters used in this study were plaque index --- PI --- gingival index --- GI --- probing pocket depth --- PPD --- clinical attachment level --- CAL and bleeding on probing --- BOP. Blood samples were collected from each subject to determine serum concentrations of ACCP by means of enzyme-linked immune-sorbent assay --- ELISA. Results: present study revealed that serum ACCP levels were significantly higher in rheumatoid patients with periodontitis --- P<0.001 than that in other two groups. Regarding the correlation between serum ACCP levels and periodontal parameters --- the current study showed positive correlation between serum ACCP and each of plaque index --- gingival index and probing pocket depth. Conclusion: The current results provide strong evidence of association between periodontitis and rheumatoid arthritis --- and suggested that periodontitis may play an important role in activation and triggering immune response

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