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Ensemble-classifiers-assisted detection of cerebral microbleeds in brain MRI
Ateeq, Tayyab,Majeed, Muhammad Nadeem,Anwar, Syed Muhammad,Maqsood, Muazzam,Rehman, Zahoor-ur,Lee, Jong Weon,Muhammad, Khan,Wang, Shuihua,Baik, Sung Wook,Mehmood, Irfan Elsevier 2018 Computers & electrical engineering Vol.69 No.-
<P>Cerebral Microbleeds (CMBs) are considered as an essential indicator in the diagnosis of critical cerebrovascular diseases such as ischemic stroke and dementia. Manual detection of CMBs is prone to errors due to complex morphological nature of CMBs. In this paper, an efficient method is presented for CMB detection in Susceptibility-Weighted Imaging (SWI) scans. The proposed framework consists of three phases: i) brain extraction, ii) extraction of initial candidates based on threshold and size based filtering, and iii) feature extraction and classification of CMBs from other healthy tissues in order to remove false positives using Support Vector Machine, Quadratic Discriminant Analysis (QDA) and ensemble classifiers. The proposed technique is validated on a dataset of 20 subjects with CMBs that consists of 14 subjects for training and 6 subjects for testing. QDA classifier achieved the best sensitivity of 93.7% with 56 false positives per patient and 5.3 false positives per CMB. (C) 2018 Elsevier Ltd. All rights reserved.</P>
Disturbance Observer Based Robust Sliding Mode Control of Permanent Magnet Synchronous Motor
Nihad Ali,Ateeq Ur Rehman,Waqar Alam,Hamid Maqsood 대한전기학회 2019 Journal of Electrical Engineering & Technology Vol.14 No.6
This paper addresses speed control of permanent magnet synchronous motor under load torque perturbations. The mathematical model is derived using park’s transformation. The load torque disturbance is considered unknown bounded, and states variables are available in feedback. In order to achieve robust speed performance, sliding mode control (SMC) is introduced. However, it is noted that conventional SMC does not provide satisfactory performance under load torque disturbances. To end this, a novel control strategy called disturbance observer SMC (DOSMC) is formulated. It includes an observer that ofers a tool to vanish the efect of load torque. The DOSMC technique has two distinguished characteristics: frst, the design gains are needed to be greater than the maximum limit of disturbance estimation error instead of disturbances, second; the proposed observer estimates load disturbances and provide a compensator to update sliding surface and control input. The stability analysis of overall control system is verifed using Lyapunov theorem. Simulations in MATLAB/Simulink proves efcacy of the proposed scheme.