Print ISSN: 1681-6900

Online ISSN: 2412-0758

Keywords : Kalman Filter

Automatic Objects Detection and Tracking Using FPCP, Blob Analysis and Kalman Filter

Hadeel N. Abdullah; Nuha H. Abdulghafoor

Engineering and Technology Journal, 2020, Volume 38, Issue 2, Pages 246-254
DOI: 10.30684/etj.v38i2A.314

Object detection and tracking are key mission in computer visibility applications, including civil or military surveillance systems. However, there are major challenges that have an effective role in the accuracy of detection and tracking such as the ability of the system to track the target and the response speed of the system in different environments as well as the presence of noise in the captured video sequence. In this proposed work, a new algorithm to detect moving objects from video data is designed by the Fast Principle Component Purist (FPCP). Then, we used an ideal filter that performs well to reduce noise through the morphological filter. The Blob analysis is used to add smoothness to the spatial identification of objects and their areas, and finally, the detected object is tracked by Kalman Filter. The applied examples demonstrated the efficiency and capability of the proposed system for noise removal, detection accuracy and tracking.

Numerical Study of Forced Convection in Wavy and Diverged-Converged Ducts

Anmar M. Basheer; Sattar J. Habeeb; Waheed S. Mohamad; Qutaiba G. Majeed; Mohammed Y. Fattah; Jawad K.Oleiwi; Mohammed S. Hamza; Mayyadah Sh. Abed; Amjed J. Hamidi; Ahmed Alaa Ogla; Yaser Nabeel Ibrahem

Engineering and Technology Journal, 2009, Volume 27, Issue 7, Pages 1385-1403

A three-dimensional study of developing fluid flow and heat transfer through
wavy and diverged-converged ducts were studied numerically for a Prandlt number 0.7
and 5.85 and compared with flow through corresponding straight duct. The Navier-
Stokes and energy equations are solved by using control finite volume method.
Development of the Nusselt number in wavy and diverged-converged ducts are
presented for different flow rates (50


forced convection
numerical study
wavy duct
diverged-converged duct

State Estimation of Two-Phase Permanent Magnet Synchronous Motor

Amjed J. Hamidi; Ahmed Alaa Ogla; Yaser Nabeel Ibrahem

Engineering and Technology Journal, 2009, Volume 27, Issue 7, Pages 1435-1443

The goal of this paper is to estimate the states of two-phase permanent magnet synchronous
motor (PMSM). The system is highly nonlinear and one therefore cannot directly use any linear
system tools for estimation. However, if one can linearize the system around a nominal
(possibly time-varying) operating point then linear system tools could be used for control and
estimation. Firstly, the error covariance matrices of measurement and process would be derived
when the system inputs and outputs are subjected to uncertain variations. Then, the corruptednoise
nonlinear model of the system will be discretized and extended to be suitable for applying
standard discrete Kalman filter (KF) for state estimation purpose. The entire state estimated
system has been modeled using MATLAB/SIMULINK blocks. The state estimation algorithm
and the motor discretized model are coded inside special S-functions of m-file type.