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Article
Modeling of electron localization in a quasi-one-dimensional tight-binding chain

Authors: S. A. Al-Seadi --- Samir. M .AbdulAlmohsin --- Sadeq Kh. Ajeel
Journal: Univesity of Thi-Qar Journal مجلة جامعة ذي قار العلمية ISSN: 66291818 Year: 2017 Volume: 12 Issue: 3 Pages: 30-41
Publisher: Thi-Qar University جامعة ذي قار

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Abstract

In this paper we propose general formula for the transmission probability for electron transfer through DNA molecules have been derived in the level of nanometers size , by assuming DNA molecules chain as nano wire. We studied localization properties for two DNA sequences: [(G/C)10] and [(A/T)10]. We have also investigated and focused on the transmission for the these two periodic ,and both at temperature degrees (0 and 300K).

نمذجة تموضع الكترون شديد التقيد في بعد واحد لشبه سلسلة, في هذا البحث نقدم صيغة رياضية عامة لاحتمالية انتقال الكترون خلال جزيئات الدي ان اي حيث تم اشتقاقها في مستوى حجم النانوميتر وذلك بافتراض ان جزيئات الدي ان اي كسلسلة نانووسلك تشبه نموذج عظم السمكة .درسنا احتمالية تموضع نوعين من الدي ان اي المتتابع وهما وشخصت الانتقالات خلال هذه الدوريات وكلاهما عند درجة حرارة من 0 الى 300 كلفن وهذه الدراسة تضمنت استقصاء وتركيز على [(G/C)10] and [(A/T)10]تلك الدوريتين

Keywords

transmission --- localization --- DNA


Article
Table-Based Matching Algorithm for Localization and Orientation Estimation of Multi-Robot System

Authors: Ola A. Hasan --- Abdulmuttalib T. Rashid --- Ramzy S. Ali
Journal: Iraqi Journal for Electrical And Electronic Engineering المجلة العراقية للهندسة الكهربائية والالكترونية ISSN: 18145892 Year: 2019 Volume: 15 Issue: 1 Pages: 53-71
Publisher: Basrah University جامعة البصرة

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Abstract

In this paper, a new algorithm called table-based matching for multi-robot (node) that used for localizationand orientation are suggested. The environment is provided with two distance sensors fixed on two beacons at thebottom corners of the frame. These beacons have the ability to scan the environment and estimate the location andorientation of the visible nodes and save the result in matrices which are used later to construct a visible node table.This table is used for matching with visible-robot table which is constructed from the result of each robot scanning toits neighbors with a distance sensor that rotates at 360⁰; at this point, the location and identity of all visible nodesare known. The localization and orientation of invisible robots rely on the matching of other tables obtained from theinformation of visible robots. Several simulations implementation are experienced on a different number of nodes tosubmit the performance of this introduced algorithm.

Keywords

Localization --- Beacons --- multi-robot


Article
Localization of Maxillary Impacted Canine Using Cone Beam Computed Tomography for Assessmentof Angulation, Distance From Occlusal Plane, Alveolar Width and Proximity to Adjacent Teeth

Authors: Vian Fouad Rahman فيان فؤاد رحمان --- Ahlam Ahmed Fatah احلام احمد فتاح
Journal: Journal of baghdad college of dentistry مجلة كلية طب الاسنان بغداد ISSN: 16800087 Year: 2017 Volume: 29 Issue: 1 Pages: 70-75
Publisher: Baghdad University جامعة بغداد

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Abstract

Backgrounds: Maxillary canine impaction is complicated and time consuming to treat, for being highly diverse in inclination and location; it may be a companied by root resorption of the neighboring teeth. CBCT has been used for its' diagnostic reliability in localization of impacted canine and revealing its' serious local complications.Objectives: Localization of maxillary impacted canine using cone beam computed tomography for assessment of angulation, distance from occlusal plane, alveolar width and proximity to adjacent teeth.Subjects and Methods: The study sample was 33 subjects 16 females and 17 males attended to Al-Wasitti general hospital in Baghdad city-Oral and maxillofacial radiology department for CBCT scan investigationfrom November/2015 to April/2016. By using theCS 9000 device, 3D images and coronal, axial and sagittal views obtained to perform the selected measurements.Results: Contact of impacted canine to the nearby teeth had a strong effect on their root resorption. Vertical or horizontal angulation measurement in axial view, was not possible for a number of cases.Comparison of the angulation measurement validity between axial and coronal views, had showed an obvious statistical difference in coronal view for vertical angulation, and in the axial view for horizontal angulation calculation. Correlation of the canine localizations found in the study with the measurements, showed a significant statistical difference with age and vertical angulation (coronal view). Age or gender correlation with the measurements wasnon significant statistically, except for age with vertical angulation (coronal view).Conclusion: utilization of CBCT provides a worthy data about the impacted maxillary canine localization, for more explanation and treatment of these cases surgically and by orthodontics.

Keywords

localization --- canine --- maxillary --- CBCT --- impaction


Article
Focusing in Iswa bil Sada's Collection of Poems for the Poet Hameed Abdul Wahhab: Reading in the Poetic Devices)
التركيز في ديوان (أسوة بالصدى) للشاعر حميد عبد الوهاب قراءة في شعرية المفاتيح

Author: Mohammed Yonis Salih محمد يونس صالح
Journal: Journal of Tikrit University for the Humanities مجلة جامعة تكريت للعلوم الإنسانية ISSN: 18176798 Year: 2019 Volume: 26 Issue: 9 Pages: 203-219
Publisher: Tikrit University جامعة تكريت

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Abstract

Poetic devices are significant linguistic tools which has a particular philosophy responsible for choosing these devices and making use of them. One of the basis of this philosophy is its wide scope through with these devices can be focused upon. the thresholds of this research is represented by major symbolic aspects, namely dream, memory, and mirrors. The existence of such devices is such a positive matter in the text.

المفاتيح الشعرية لعبة لغوية هامة ، ويقع على عاتق هذه الاهمية فلسفة خاصة في انتقاء هذه المفاتيح والاشتغال عليها ولعل من اهم مرتكزات هذه الفلسفة هي المدى الواسع الذي يمكن من خلاله ان تكون هذه المفاتيح مركزة ، بحيث يؤدي التركيز شعرية خاصة للمفاتيح وهذا ما اشتغلنا عليه في خطوط مستوية تؤدي الرسالة عند شاعرنا مرواً من العتبات بوصفها التمثيل الاكثر افتراضاً في مشغلنا ، ومن ثمّ نمط الحلم والذاكرة على اعتبارهما شذرات لفعل حكائي ، وصولا إلى المرايا بوصفها مفتاحاً موازياً ، وكذلك الجسد في محاولة لوضع حدود كل من التركيز / المفاتيح داخل النص ايجابيّاً .


Article
Centralized approach for multi-node localization and identification

Author: Ola A. Hasan
Journal: Iraqi Journal for Electrical And Electronic Engineering المجلة العراقية للهندسة الكهربائية والالكترونية ISSN: 18145892 Year: 2016 Volume: 12 Issue: 2 Pages: 178-187
Publisher: Basrah University جامعة البصرة

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Abstract

A new algorithm for the localization and identification of multi-node systems has been introduced in this paper; this algorithm is based on the idea of using a beacon provided with a distance sensor and IR sensor to calculate the location and to know the identity of each visible node during scanning. Furthermore, the beacon is fixed at middle of the frame bottom edge for a better vision of nodes. Any detected node will start to communicate with the neighboring nodes by using the IR sensors distributed on its perimeter; that information will be used later for the localization of invisible nodes. The performance of this algorithm is shown by the implementation of several simulations.


Article
Kinematic Analysis of WMR Tracked by a Camera Vision System

Authors: Hasan M. Alwan --- Qasim A. Atiyah --- Hussein A. Hasan
Journal: AL-NAHRAIN JOURNAL FOR ENGINEERING SCIENCES مجلة النهرين للعلوم الهندسية ISSN: 25219154 / eISSN 25219162 Year: 2017 Volume: 20 Issue: 5 Pages: 1090-1096
Publisher: Al-Nahrain University جامعة النهرين

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Abstract

This paper presents a study of a nonholonomic differential drive wheeled mobile robot (WMR) of the type (BOE-Bot). In this paper, two aims are presented: the first is the study of the WMR movement on a specific trajectories to get the desired goals positions and the second is the evaluation of the kinematic performance factor of the WMR movement. The kinematic model of the robot movement in terms of the robot wheels velocity is studied by making the robot to move on the desired trajectories. The determination of the actual robot centre position in two dimensions (X) and (Y) is done by tracking the movement of a red point located above the robot by using a fixed camera attached to the ceiling. The position error between the theoretical and actual WMR position vectors is studied and calculated in global and local coordinates' frames. The values of the position error percentage ratios when the robot moved on a (S-shape) trajectory were higher than its values when the robot moved on a (straight-line) trajectory because of the existence of a gyroscopic torque resulted from the WMR circular movement around an axis perpendicular to the axis of the WMR wheels rotation. Finally, the kinematic performance factor of the WMR movement is evaluated depending on the position error in the global coordinate.

تم دراسة روبوت متنقل ذو عجلتين مختلفة الدفع من نوع (BOE-Bot). تعرّض البحث الى هدفين هما دراسة حركة الروبوت على مسارات معينة للوصول الى الموقع المطلوب وحساب معامل الأداء الكيناماتيكي. تمت دراسة النموذج الكيناماتيكي لحركة الروبوت بدون تأثير القوى بدلالة سرعة عجلات الروبوت عن طريق تحريك الروبوت على المسارات المطلوبة. عملية اخذ القراءات لموقع الروبوت في البعدين (X) و (Y) تمت عن طريق تتبع حركة نقطة حمراء فوق الروبوت بوساطة كاميرا مثبتة بالسقف. كما تمت دراسة الخطأ بين الموقع النظري والحقيقي للروبوت وتم حسابه في محاور الروبوت والمحاور العامة. قيم النسب المئوية للخطأ بموقع الروبوت عند حركته على مسار (شكل (S)) كانت أعلى من قيمها عند حركة الروبوت على مسار (خط مستقيم) بسبب وجود عزم جايروسكوبي ناتج من حركة الروبوت الدائرية حول محور عمودي على محور دوران العجلات. ثم تم حساب معامل الأداء الكيناماتيكي لحركة الروبوت بالاعتماد على الخطأ بموقع الروبوت في المحاور العامة.


Article
Indoor Localization Using Deep-Learning and Smartphone

Authors: Zainab Mohammed Resan --- Muayad Sadik Croock
Journal: IRAQI JOURNAL OF COMPUTERS,COMMUNICATION AND CONTROL & SYSTEMS ENGINEERING المجلة العراقية لهندسة الحاسبات والاتصالات والسيطرة والنظم ISSN: 18119212 Year: 2019 Volume: 19 Issue: 3 Pages: 40-49
Publisher: University of Technology الجامعة التكنولوجية

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Abstract

Robust and accurate indoor localization has been the goal of several research efforts over the past decade. In the building where the GPS is not available, this project can be utilized. Indoor localization based on image matching techniques related to deep learning was achieved in a hard environment. So, if it wanted to raise the precision of indoor classification, the number of image dataset of the indoor environment should be as large as possible to satisfy and cover the underlying area. In this work, a smartphone camera is used to build the image-based dataset of the investigated building. In addition, captured images in real time are taken to be processed with the proposed model as a test set. The proposed indoor localization includes two phases the first one is the offline learning phase and the second phase is the online processing phase. In the offline learning phase, here we propose a convolutional neural network (CNN) model that sequences the features of image data from some classis's dataset composed with a smartphone camera. In the online processing phase, an image is taken by the camera of a smartphone in real–time to be tested by the proposed model. The obtained results of the prediction can appoint the expected indoor location. The proposed system has been tested over various experiments and the obtained experimental results show that the accuracy of the prediction is almost 98.0%.


Article
An Efficient Mathematical Approach for an Indoor Robot Localization System

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Abstract

In a counterfeit clever control procedure, another productive methodology for an indoor robot localization framework is arranged. In this paper, a new mathematic calculation for the robot confinement framework utilizing light sensors is proposed. This procedure takes care of the issue of localization (position recognizing) when utilizing a grid of LEDs distributed uniformly in the environment, and a multi-portable robot outfitted with a multi-LDRs sensor and just two of them activate the visibility robot. The proposed method is utilized to assess the robot's situation by drawing two virtual circles for each two LDR sensors; one of them is valid and the other is disregarded according to several suggested equations. The midpoint of this circle is assumed to be the robot focus. The new framework is simulated on a domain with (n*n) LEDs exhibit. The simulation impact of this framework shows great execution in the localization procedure.


Article
Face Localization Using Backpropagation
تعريب الوجه باستخدام ال Backpropagation

Author: Abdul Bassut Kadhim shuker
Journal: Diyala Journal For Pure Science مجلة ديالى للعلوم الصرفة ISSN: 83732222 25189255 Year: 2010 Volume: 6 Issue: 2 Pages: 1-17
Publisher: Diyala University جامعة ديالى

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Abstract

There is more than one type of neural net uses to classify complex pattern (face), and it isrepresent very suitable technique for face localization. We present backpropagation neuralnetwork-based face localization system. Face localization in image is a two class (face, nonface)and it is represent very an important first step for many systems ranging from supervision tohuman computer interface because of the computational model of face. The proposed systemconsist of two subsystem ,first subsystem is preprocessing operations on image to make itsmooth and make next operation (training patterns in backpropagation neural net )easy aspossible .Second subsystem is classifying the patterns produced by the preprocessing stageconsists showing the patterns(an image) to backpropagation neural net to localize the face in animage .

عملية تحديد الوجه هي الخطوة الاولى والمهمة في منظومة متكاملة لتتميز الوجه بالإضافة إلى مجوعة الانظمة الهامة التي تعتمد عليها ،مثل انظمة المراقبة والتعداد الى وجهة بين المستخدم والحاسب .كذلك يعتبر من المنظومات الغير قابلة للتطفل لدرجة كبيرة .بسبب اسلوب البناء المتوازي وكفاءة العمليات الحسابية للشبكات العصبية الاصطناعية فقد اصبح استخدامها في معالجة الصور شائعا جدا ،تم في النظام المقترح تصميم نظام متكامل لتخصيص الوجه في الصورة , يعتمد النظام المقترح على مجموعة عمليات معالجة مسبقة ،حيث تعتبر المشكلة الاكبر في عملية التدريب في الشبكات العصبية هي هل تحتوي المتجهات الناتجة من عمليات المعالجة المسبقة على معلومات كافية تمكن الشبكة من القدرة على التدريب على نماذج صور الوجه بصورة ناجحة . تم استخدام اكثر من مرشح والمقارنة بين هذه المرشحات لغرض الحصول المرشح الذي يجعل الصورة تحتوي على اكبر قدر من المعلومات يتم ادخالها الى الشبكة العصبية لغرض التدريب الناجح .بعد الحصول على معلومات من الصورة (خاصة المنطقة التي تحتوي العينيين والحاجبين والفم ) يتم ادخال المعلومات الى شبكة عصبية كفؤة لغرض التمييز


Article
Fine Circular Pupil Localization

Author: Ihab A. Mohammed
Journal: Al-Nahrain Journal of Science مجلة النهرين للعلوم ISSN: (print)26635453,(online)26635461 Year: 2011 Volume: 14 Issue: 1 Pages: 179-185
Publisher: Al-Nahrain University جامعة النهرين

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Abstract

In this paper a simple, fast, and accurate method is proposed to localize the pupil. After
analyzing eye images and their histograms, it has been found that the pupil area takes about 10% of
the eye image area and mainly it is the darkest part. A threshold value was computed from the
histogram of the image, the computed threshold is used to convert the eye image to binary image,
the seed fill algorithm was used as region growing method to segment the binary image and locate
the pupil as the maximum segment, then fill it with black color to remove any specular spot
reflection. A circle fitting algorithm is used to locate the best pupil circle. The conducted test on the
proposed system using 10 eye images, downloaded from CASIA-IRISV3-Interval database,
indicated that the pupil area average error ratio is 0.6%, the pupil center average position error is
0.5%, and the pupil radius average error ratio is 2.1%.

في هذا البحث, تم اقتراح طريقة بسيطة وسريعة، ودقيقة لتحديد البؤبؤ. بعد تحليل عدد من صور العين وجداول ترددات الوانها تم ملاحضة ان منطقة البؤبؤ تشكل نسبة 10% من المساحة الكلية لصورة العين وتمثل اكثر منطقة سواداً. تم حساب قيمة حدية من جدول ترددات الالوان لكي يستخدم لتحويل الصورة الى صورة ثنائية، وتم استخدام خوارزمية ملئ البذرة لتقسيم الصورة الى مقاطع وايجاد مقطع البؤبؤ و الذي يمثل اكبر مقطع، ثم ملئه باللون الاسود لازالة اي انعكاسات ضوئية. وتم تحديد دائرة البؤبؤ باستخدام خوارزمية الملائمة الدائرية. بعد اجراء الاختبارات على 10 صور منزلة من قاعدة بيانات "CASIA-IRISV3-Interval" تم التوصل الى ان متوسط نسبة الخطأ في مساحة البؤبؤ هي 0.6%، متوسط الخطأ في نقطة المركز للبؤبؤ هي 0.5%، ونسبة متوسط الخطأ في نصف قطر البؤبؤ هي 2.1%.

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