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تمييز قزحية العين للتطبيقات الامنية == Iris Recognition for Security Applications

Author name: هدى ميسر ضرار محمد
Supervisor name: عماد احمد محمد | احمد جدعان علي
General topic: Computer Engineering
Specific topic: Computer Engineering
Degree: Master
Language: English
University location: Mosul

تصميم وتنفيذ نظام ذكي للمراقبة والادارة يعتمد على انترنيت الاشياء للتطبيقات الزراعية == Design and Implementation of an Intelligent Monitoring and Management System Based on Internet of Things for Agriculture Application

Author name: حيدر نصر بهجت السماك
Supervisor name: زياد سعيد محمد
General topic: Computer Engineering
Specific topic: Computer Engineering
Degree: Master
Language: English
University location: Mosul

تحسين جودة الصور الطبية المدمجة متعددة الانماط باستخدام التحويل المويجي المتقطع == Improving the Quality of Multimodality Medical Images Fusion Using Discrete Wavelet Transform )DWT)

Author name: هادي اكرم هادي
Supervisor name: زياد سعيد محمد
General topic: Computer Engineering
Specific topic: Computer Engineering
Degree: Master
Language: English
University location: Mosul

تصميم وتنفيذ روبوت اطفاء ذاتي للحريق مبني على الرؤية الحاسوبية == Design and Implementation autonomous Fire-Fighting Robot Based on Computer Vision

Author name: غفران ذنون احمد حسن
Supervisor name: عماد احمد محمد مدرس
General topic: Computer Engineering
Specific topic: Computer Engineering
Degree: Master
Language: English
University location: Mosul

حماية بوابات الابنية بالاعتماد على تقنيات التعرف على الوجه == Securing Building Gates Based on Facial Recognition Techniques

Author name: غفران خالد حمادي
Supervisor name: مهند لقمان احمد الدباغ
General topic: Computer Engineering
Specific topic: Computer Engineering
Degree: Master
Language: English
University location: Mosul

تصميم وتنفيذ نظام تتبع الاجسام المتحركة باستخدام نظام التموضع العالمي وخدمة الرسائل القصيرة == Design and Implementation of Moving Object Tracking System Using GPS and SMS

Author name: فاطمة ناظم امين
Supervisor name: عبد الرحمن اكرام صديق | زياد سعيد محمد
General topic: Computer Engineering
Specific topic: Computer Engineering
Degree: Master
Language: English
University location: Mosul

تصنيف عدم انتظام ضربات القلب استنادا الى التخطيط الكهربائي للقلب باستخدام خوارزميات التعلم العميق == Electrocardiograph based Cardiac Arrhythmias Classification Using Deep Learning Algorithms

Author name: فرح علي تحسين احمد النجار
Supervisor name: مهند لقمان احمد الدباغ
General topic: Computer Engineering
Specific topic: Computer Engineering
Degree: Master
Language: English
University location: Mosul

التصوير الرقمي من الطائرة المسيرة لاغراض الاستشعار عن بعد في مجال الزراعة == Digital Imaging Using Drone for Remote Sensing in Agriculture Field

Author name: نور عبد الحافظ سحري
Supervisor name: عبد الستار محمد خضر
General topic: Computer Engineering
Specific topic: Computer Engineering
Degree: Master
Language: English
University location: Mosul

الطرق الذكية بالاعتماد على الرؤيا الحاسوبية == Computer Vision Based Smart Roads

Author name: عماد سليمان عبد الله
Supervisor name: عماد احمد محمد مدرس
General topic: Computer Engineering
Specific topic: Computer Engineering
Degree: Master
Language: English
University location: Mosul

تنفيذ نظام مراقبة ذكي يعتمد على بوابة لورا وان منخفضة - التكلفة == Implementation a Smart Monitoring System Based on a Low - Cost LoRaWAN Gateway

Author name: محمد سامي نوري
Supervisor name: ثائر علي صالح
General topic: Computer Engineering
Specific topic: Computer Engineering
Degree: Master
Language: English
University location: Mosul

الكتابة على شاشة الحاسبة باستخدام فعاليات العين == Writing on a Computer Screen via Eye Activities

Author name: عمار سمير عناز
Supervisor name: ضـياء مهـدي فارس | اياد يـونـس عبـد الله
General topic: Computer Engineering
Specific topic: Computer Engineering
Degree: Master
Language: English
University location: Mosul
Key words:
  • OpenCV
  • Human Computer Interaction (HCI)
Abstract: Writing is considered as one of the most trusted communication methods among people. Writing has many forms and is fulfilled by many means according to different communities and civilization intervals. Hand is the most common tool for writing, but at certain disability conditions, this may not be possible. This thesis deals with the development and evaluation of a system with movements instead of using hands for disable persons. The eye is used to simulate the computer's mouse operation for controlling the available on-screen keyboard program. The mouse pointer is moved as the eye moves; it proposes an easy method for writing on the computer screen using eye looking angle and as the eye blinks for a specific time interval the letter is granted as the one wanted, simulating the mouse's left click. The process begins with filming the eye from near distance with infrared light to gain clear view of the pupil, then the images of video are sent to the main program. That is designed to process the images that include, reading the images then segmenting each image to extract the circular shape of the pupil, after that smoothing the resultant image and finally locating the central point of the pupil by applying (Circle Hough Transform) algorithm. The coordinates of the founded central point are converted from image coordinates to equivalent screen coordinates by mathematical calculations and using previous calibration points. Then the values of the final coordinates are sent to the mouse pointer, by this way the system controls the pointer position. However, left click process simulation was done, if the pupil shape disappeared (eye blink) for a period (from 10 ms to 100 ms as user adjustment), then the system sends mouse left click command to the pointer current position. The system succeeded to achieve its main purpose by printing on computer screen by the eye, in real time (less than one second). And the time to respond at maximum is 121 ms. In addition, testing the system by five male, their ages from 20 to 45 years, and results show different times to print according to person's ability to concentrate and learn, but in general the system average speed is one word per minutes. While the mean squared error of the system is 14%.
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