Dept. News
doctoral discussion for the student Ali Adil
The student Ali Adil has obtained his PhD from the Department of Computer Sciences / University of Technology for his dissertation (Cuneiform Symbols Recognition Using Pattern Recognition Techniques and Corpus). This research presents a proposed system for distinguishing these symbols in cuneiform image using techniques for distinguishing patterns, Photomorphism by proposed algorithms. In addition to the proposed algorithms in the field of improving and standardizing the features of the image of the removal of stains and lines of writing, which represent the characteristics of changing the incidence of the presence of one image to another and therefore must be removed to obtain a uniform formula before the process of excellence. Depending on the techniques (image morphology and distance converter) in a new suggested manner. In this research, the group of images is proposed to train the system in the form of triangular shapes, which in turn reflect all the possibilities of the patterns of light reflection on the three-dimensional symbolic symbol (as a certified factor for the first time) distributed by four main patterns, which in turn form 17 rows that differ from each other in direction . In this research, a comparison of the accuracy of excellence of the cuneiform character was carried out when it was based on the construction of the derived characteristics derived from the first use of polygon approximation technique and comparing the result of excellence with the traditional methods of building the characteristics of the character. This was on Sunday, 2018 and the discussion room in the annex building of the department and the discussion committee was composed of (Dr. Hassanein Samir Abdullah and Dr. Shaima Hamid Shaker and Dr. Ekhlas Khalaf Kabbashi) of the University of Technology / Department of Computer Sciences and (Dr. Morteza Mohammed Hamad) from Al Anbar University / Computer Science and (Dr. Haitham Abdul Latif Omar) of the Faculty of Alsalam College / Department of Computer Science with the presence of the student's supervisors (Prof. Dr. Abdel-Moneim Saleh and Dr. Abdul Mohsen Jaber).
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Source: Department's Media |
A group of employees of the department obtain an internal auditor's certificate
Five members of the Department of Computer Sciences received the certificate of the internal auditor (Dr. Khalil Ibrahim, Asst. Lect. May Sabri, Asst. Lect. Rana Mohammed Hassan, Asst. Lect. Taibah Walaauddin Khairi, Ali Hussein). By the lecturer Majed Ahmed, a general certificate valid for auditing in all country institutions obtained for the first time in the Department of Computer Science.
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Source: Department's Media |
A group of teachers from the Department received a letter of thanks from the President of the University
A group of computer science teachers (Dr. Yousra Hussein, Dr. Abeer Tariq, Dr. Hassanein Samir, Dr. Hanaa Mohsen, Dr. Alia Kareem, Dr. Soukaina Hassan, Dr. Abdul Amir Abdullah, Dr Matheel Emad Eddin) received a letter of thanks and appreciation of the President of the University. Dr. Amin Douai Thamer, for thier efforts in supervising the graduate students in completing the requirements of the study before the end of the specified period, hoping to continue their efforts for the advancement of higher studies and to ensure the scientific situation in the university to serve our beloved Iraq.
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Source: Department's Media |
PhD discussion of the student Jamal Hilal Asi
The student Jamal Helal Asi received his PhD degree from Computer Sciences department / University of Technology for his thesis titled (Intrusion Detection Analysis using Machine Learning and Improved Artificial Immune System). In this thesis, the Dataset was reduced from 41 to 10 important properties, the accuracy was high (84.1509%) and the time was (6.11 seconds) with the classification algorithm (J48). The second proposal is the AIRS algorithm, , The proposed system is the VNS classification. The principle of this algorithm is the successive detection of the neighbors to find the best solutions and produce a set of real vectors ready for classification. The results are based on NSL-KDD dataset and showed an increase in performance accuracy compared to the original algorithm (AIRS). The result was (88.136% 9872.15 seconds). In the third proposal, AIRS is an advanced algorithm developed by AIRS. It was suggested to improve the performance of the AIRS input and copy cells, which would give the best cells that can be compared to patterns in the data set.
This was on Sunday, September 30, 2018, and on the discussion room in the annex building of the department. The discussion committee was composed of: Dr. Soukaina Hassan Hashim, Dr. Alaa Kazem Farhan, (From the University of Technology / Computer Science Department and Prof. Dr. Mahmoud Khalil Ibrahim) from the University of Nahrain / Information Engineering and (Dr. Nada Abdel-Zahra Abdullah) from the University of Baghdad / Faculty of Science / Department of Computer Science In the presence of the student supervisor (Prof. Ahmed Tariq Sadiq).
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Source: Department's Media |
Discussion of the master thesis of the student Hajar Najah Abdul-Saheb
The student (Hajar Najah Abdel-Saheb) obtained a master's degree from the Department of Computer Science / University of Technology for her thesis (Hybrid Biometric Identification System Based on Principal Component Analysis
(PCA) Features Extraction And Neural Network (NN) Classifier) Among several people whose biometrics were collected in a database. The vital features that we rely on in this message are teeth and DNA. Basic concepts are introduced to identify one of many through the use of biometric standards and how these standards have been improved in the last few years. It presents various research and techniques related to this subject and concepts for evaluating these techniques. Presents a new way to identify a person from his own DNA and teeth which is widely used in forensic, border regulation, paternity determination and in investigations. The system contains three main modules: the dental model, the DNA model and the dental model mixture and the DNA (hybrid). The dental model has two main stages: the training phase (sampling of the database) and the testing stage (identification). These stages include the processing stage and the stage of extracting the characteristic features.
This was on Thursday 27/9/2018 at the discussion hall in the annex building of the department. The discussion committee consisted of (Dr. Soukaina Hussein Hashim and Dr. Rahim Abdel-Saheb Ogla) from the University of Technology / Department of Computer Sciences and (Dr. Samer Saeed Ibrahim) from Al Rafidain College / Department of Computer Science in the presence of the student's supervisor (Dr. Shaimaa' Hamid Shaker).
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Source: Department's Media |
Two staff members from the department participated in the 2nd Mathematics International Conference
Dr. Maysaa' Abd Ali & Dr. Shatha Habib Jaffar from the Department of Computer Sciences participated in the Second International Conference of Mathematical in Turkey / Istanbul / University of Malptep for the period from 31/7/2018 to 6/8/2018 with the paper (hide a secret message using the two-dimensional wave to merge the image) This is a hidden secret message method with a new algorithm to hide the confidential message inside a composite image by using the image integration method to give high security. The third phase uses the binary wave to merge the image between two images in the first, second and third levels, the second phase uses the filter, the third stage uses the masking of binary secret message by using ASCII code to convert all letter characters to binary numbers and hide them inside the image. The results of the algorithm were efficient, transparent and highly secure. And has the ability to hide the message that cannot be noticed by the attackers.
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Source: Department's Media |
Discussing the doctoral thesis of the student Salma Hamidi
The student Salma Hamidi Abdullah received her PhD from the Department of Computer Sciences / University of Technology for her thesis titled "An Application of Human Eye Gaze in Controlling Mobile Devices" She suggested an application system that can control mobile devices to help users with difficult communication. This system is a non-intrusive input model, the pupil center was selected to calculate the eye movement data to determine the human point of view on the mobile device screen, the action only depends on the front camera to capture the input image. Many algorithms have been used to determine the point at which a human is viewed on a mobile screen. This system uses many stages such as facial detection, eye detection, pupil detection, eye orientation determination, and finally the control of the device used in the system provides an interface for the hands of the hands through the graphical user interface to control the screen of the mobile device Galaxy eye tracking is obtained in the direction of the pupil to The top, bottom, left and right numbers are entered into the user screen by tracking the look. To implement these processes a number of different algorithms were used, such as the detection algorithm for skin areas, the filter cabor, and other mathematical processes to locate the face in the image. And then through the features available in the eye is determined the area of the pupil and then the horizontal and vertical line is scanned depending on the threshold line.
This was on Monday 25/6/2018 at the discussion hall in the building of the department. The committee of the discussion was composed of (Dr. Hala Bahjat Abdul Wahab and Dr. Matheel Emad Eddin Abdel Moneim) from the University of Technology / Department of Computer Sciences and Prof. Dr. Saad Najm Bashkh from Al Mustansiriya University , Faculty of Education and (Dr. Loay Idwar George) from the University of Baghdad, Faculty of Science and Dr. Ibrahim Nazeer Ibrahim, Al Mustansiriya University, Faculty of Education and attended by the student's supervisor (Dr. Hanaa Mohsen Ahmed).
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Source: Department's Media |
Discussing the doctoral dissertation of Najlaa' Abdel-Hamza
The student Najlaa' Abdul Hamza received her doctorate from the Department of Computer Sciences / University of Technology for her thesis entitled "3D Face Reconstruction Method for Unconstrained Images" This thesis focuses on reconstructing three-dimensional faces from a series of two-dimensional images, In the position, lighting or point of view and to obtain a precise three-dimensional model matches the two-dimensional characteristics, in this thesis was proposed a new way to reconstruct the three-dimensional faces by incorporating the reconstruction algorithm (reconstruction scattered) with a general model to get Intensive building (final three-dimensional model). We get the three-dimensional dots scattered from a series of faces using the improved motion structure algorithm. We obtain the intensive final reconstruction (the 3D model of the faces) by combining the scattered face points and the general model using the updated matching algorithm for the optimization process to reduce the difference between the input images and the resulting model.
This was on Sunday, June 24, 2018, at the discussion hall in the building of the department. The committee of the discussion was composed of (Dr. Matheel Emad El-Din Abdel Moneim, Dr. Abdel-Mohsen Gaber Abdelhossein, from the University of Technology / Computer Sciences Department and Dr. Ghassan Abdul Hamid Abdul Majeed from the Ministry of Higher Education and Scientific Research / Research and Development Department and Dr. Abbas Hassan Hanoun from the University of Basrah / Faculty of Information Technology and Dr. Mohamed Saheb Mehdi (from Al Nahrain University / Faculty of Science / Department of Computer Science in the presence of the supervisor of the student (Dr. Shaimaa' Hamid Shaker).
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المصدر : إعلام القسم |
Discussion of the Master's thesis for the student Shilan Waa'd
The student Shilan Waa'd Idwan obtained her master's degree from the Department of Computer Sciences / University of Technology for her thesis entitled "Multi Robot Path Planning in Cluttered Environment Using Evolution Computation Techniques" The thesis is proposal of the multi-robot path planning system in a two-dimensional environment to solve the problem of finding a road in Traffic jam. The modified algorithm was used with the approximate bats algorithm. The direction of the fast-tracked random tree detection algorithm was first modified and redirected by replacing stored storage accounts with a proposed new calculation method that reduces execution time. Secondly, the algorithm of the fast-tracked, fast-tracked random tree has been modified to operate in a moving environment by modifying the evaluation equation with a proposed one based on the bat's algorithm. Thirdly, enable the rapid-oriented, rapid-motion-guided random-motion detection algorithm to plan the path of multiple robots in a parallel, dynamic and real-time environment by employing the swarm principle on the bat-swarm algorithm that has been combined with the improved modified rapid-guided random tree algorithm. Object detection algorithm and improved tracking algorithms. The development of algorithms for estimating traffic parameters such as displacement, speed, direction and positioning are generated through the development of the results of detection and tracking algorithms.
This was on Sunday 10/6/2018 and at the discussion hall in the annex building of the department. The discussion committee consisted of Dr. Nada Flieh Hassan of the University of Technology / Department of Computer Sciences and Dr. Bilal Khalil Ismail, from Al Anbar University, Computer Science Department, and Dr. Abbas Fadhel Mohammed Ali, from the University of Information and Communication Technology, in the presence of the student 's supervisor (Dr. Aliaa' Karim Abdel Hassan).
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Source: Department's Media |
The Department of Computer Sciences conducts the competitive examination of private colleges
The students of the fourth stage in the Computer Sciences Department participated in the competitive examination between the Department of Computer Sciences at the University of Technology and the private colleges for the academic year 2017-2018 on Thursday, 24/5/2018 and under the supervision of Al Nahrain University after completing all the preparations for preparing the exam environment and providing the final exam requirements. It is worth mentioning that the first experience of the Department of Computer Sciences was in the academic year 2012-2013 as the supervisor of examinations. And in the following years as a supervisor and participant in the highest results and obtained the first rank and the colleges of private participation (Al-Mansour University / Faculty of Rafidain / Baghdad College of Economic Sciences / College of Degla) hoping success and success to our dear students.
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Source: Department's Media |
More...
Starting of the final exams for the undergraduate studies
The Department of Computer Sciences has seen extensive preparations to receive the first term exams for the academic year 2017-2018, which began on Thursday 24/5/2018 for the morning and evening studies from the preparation of the classrooms and providing the requirements of the examination committees and provide a suitable atmosphere for the students under the direct supervision of the Head of Department . Dr. Hala Bahgat Abdul Wahab, hoping to our dear students success.
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Source: Department's Media |
Discussion of the master thesis of the student Nabaa' Basil Abid
The student (Nabaa' Basil Abid) received her master's degree from the Department of Computer Sciences / University
of Technology for her thesis (Autonomous Car Control based on Pattern Recognition Algorithms) The objective of
self-driving cars is Reduce risks, problems and costs that arise from human participation. Auto-driving is designed
for roaming between places of destination without the human operator. So one of the main functions of self-driving
cars is auto detection moving in front of it using computer vision techniques. Detecting and tracking a mobile body
is still an open research issue, though research for years. Even today, it remains a major challenge to achieve a
rigorous, robust and high-performance approach. How one can define an object to be detected and tracked is the
level of difficulty of this problem, which helps to make a decision to determine the path of independent cars
avoiding accidents. Object detection of a series of images is a preparatory step but a critical task for computer
vision applications in extracting the information. The main objective of this work is to develop object detection
algorithm and improve trace algorithms. Development of algorithms traffic parameters such as displacement, speed,
direction and positioning are estimated by developing the results of detection and tracking algorithms.
This was on Thursday 24/5/2018 and at the discussion hall in the annex building of the department. The discussion committee was composed of (Dr. Matheel Emad El-Din Abdel Moneim, Dr. Ekhlas Khalaf Kabbashi (from the University of Technology / Department of Computer Sciences and (Dr Ibrahim Nazir Ibrahim from Al Mustansiriya University / Faculty of Basic Education / Department of Computer Science in the presence of the student's supervisor (Prof. Dr. Abdel Munem Saleh Rahma).
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Source: Department's Media |
Start final exams for graduate students
The Department of Computer Sciences has seen extensive preparations to receive the final exams for graduate students for the academic year 2017-2018, which began on Wednesday, 23/5/2018, to prepare for the classrooms and provide the requirements of the examination committees and provide an atmosphere suitable for students under the direct supervision of the Head of Department. Dr. Hala Bahgat Abdul Wahab, I hope to our dear students success and success.
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Source: Department's Media |
Scientific visit to the General Company for Services of the International Information Network
The Department of Computer Sciences on Sunday 21/4/2018 made a scientific visit to the (General Company for Services of the International Information Network) and the Ministry of Communications. At the reception was Engineer Ali Raji, who in turn explained in detail the specifications of the building in terms of security, which can be accessed through the electronic footprint and divided into two sections, the software section and the international network and the students were briefed on the work site and working life and ask some questions about the work of the company and the services it provides to citizens.
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Source: Department's Media |
