Announcement of admission and admission controls for the academic year 2018-2019
Announcement of admission and admission controls for the academic year 2018-2019
Admission controls 2018-2019 for the university
Compensation of affected persons 700
Form of the families of martyrs 502
As part of the central celebration of World Women's Day
As part of the central celebration of World Women's Day
Under the patronage of the Honorable President of the University of Technology Dr. Amin Douai Thamer at the University Theater On Monday, 12/3/2018, each of them was honored
Lecturer Dr akhlas kazim eabd alhamza
Senior Programing Dina Aebd Alrahmin
Student Saja Basher
On this occasion, Congratulations is honored to have more excellence in the fields of life
Masters' degree
Masters' degree
On 7/3/2018 , the postgraduate student ''Zainab SHaker Mahmood'' was granted an MSc. In Computer Engineering for his thesis entitled : “ Robust Multiple Model Adaptive Dynamic Positioning of Quadrotor Helicopter System
Abstract
The quadrotor control has been one of the benchmark control problems. As a matter of fact, designing a flight control for micro scale quadrotor is still a challenging task because of its under-actuated feature, also, it is considered as a multivariable and highly nonlinear system due to its dynamics, having strong coupling between translation and angular motion and affected by external disturbances associated with flight environment, for instance, the effect of large payload variation. This provides the need to design a robust control. The controller needs to be able to keep up with sudden changes in addition to, the ability to find better tracking performance against modeling error and uncertainties
In this work, two types of state feedback control methods have been implemented; the first optimal controller is represented by LQR. This controller achieves stability of the aircraft, but it takes time and a small error still appears in some states. So, this provides the need for using LQ-servo controller which eliminates the error due to an integral part and provides a tracking design. Also, the LQ-servo control method has proved its durability towards the maximum variation in the wind gust.
Compared with LQR, in LQ-servo, better improvement has been obtained using Root Mean Square (RMS) and Integral Absolute Error ( IAE) values of tracking error which have been presented for linear and angular movements
Classical Multiple Model Adaptive Control (CMMAC) is another type of state feedback control. It is an adaptive control which embodies in its structure a bank of filters, Kalman filter has been used where each filter has been designed for a specific value of payload variation, and set of controllers, which was provided by the LQ-servo design. CMMAC meets better performance of tracking design for all payload mass variations
:The examining committee consisted of
Assist.Prof. Dr. Salim Khalifa Kadhim President
Assist .Prof. Dr. Hazem Ibrahim Ali Member
Assist .Prof Dr. Muayed AbdulRida Sahib Member
Lecturer Dr. Aklas Fadel Hamza Member and Supervisor
Masters' degree
Masters' degree
On 8/3/2018 , the postgraduate student '' Rusul Haitham Hadi'' was granted an MSc. In Computer Engineering for his thesis entitled : “Design and Implementation of Zigbee Transceiver Network based MATLAB System
Abstract
This research focuses on implementing a digital transceiver system for Zigbee sensor device based on IEEE 802.15.4. System performance has been verified considering to BER under Adaptive White Gaussian Noise (AWGN) channel and Rayleigh fading channel, besides showing the effect of employing the Direct Sequence Spread Spectrum (DSSS) technique. Further system improvement has been performed for the system under Rayleigh fading channel by means of equalization, where two equalization algorithms have been applied independently that are Least Mean Square (LMS) and Kalman equalizer. The results have shown better performance in presence of DSSS and when using LMS. However, Kalman equalizer has achieved well signal recovery since it was capable of errors converging faster than the LMS equalizer
:The examining committee consisted of
Assist.Prof. Dr. Azad Raheem Kareem President
Assist .Prof. Dr. Malik Jassim Raheem Member
Lecturer Dr. Qusay Fadil Hassan Member
Lecturer Dr. Aklas Fadel Hamza Member and Supervisor
Masters' degree
Masters' degree
On 27/2/2018 , the postgraduate student '' Thaer Mohammed Kadhom'' was granted an MSc. In Computer Engineering for his thesis entitled : “FPGA Design and Implementation of a Spiking Neural Network”
Design and implementation of Spiking Neural Network based character recognition using (MATLAB and FPGA). The proposed network training using two learning algorithm (Remote Supervised Method and Spike Time Dependent Plasticity).
The examining committee consisted of :
1-Assist.Prof. Dr. Ameer Hussain Murad (President )
2- Assist .Prof. Dr. Laith Jasim Saud (Member)
3- Lecturer Dr. Waleed Fawaz Shareef (Member)
4- Assist. Prof. Dr. Amjad Jaleel Hameedy (Member and Supervisor)
