Browsing by Author "Islam, Asif"

Now showing 1 - 3 of 3

Design and Development of a Mobile Application: Blood Analysis
(Daffodil International University, 22-05-01) Islam, Asif
The rapid growth of smart phone technology with sensors has enabled physiological measurements, which can simplify self assessments, medical diagnosis and environmental monitoring etc. Smart phone today offers significant advantages over traditional platforms in terms of test speed, control, low cost, ease-of-operation, and data management, and requires minimal equipment and user involvement. This study investigates the feasibility of extracting heart rate, oxygen saturation, respiration rate, blood pressure using a cell phone camera in a non invasive way, without the need of external sensors which is independent of ambient lighting condition. The method works by placing people finger over the smart phone camera and computing the quantity of light absorbed by the finger tissue. The smart phone thus acquires the Photoplethysmographic (PPG) signal. From heart pulse, oxygen saturation, respiration rate, blood pressure are estimated by using a peak detection algorithm in order to find the local maxima of the PPG signal and computing the time difference between peaks. I have compared the accuracy of heart pulse, oxygen saturation, respiration rate, blood pressure estimated by our method with a camera sensor over three different controlled experimental conditions. The fast fourier transform (FFT) plots showed a clear frequency. This is a mobile application is being developed in order to measure and computed heart rate, blood pressure, all vital signs, respiration rate and oxygen saturation by doing image processing of blood cells.
Fuzzy-Logic Based Speed Control of Induction Motor Considering Core Loss into Account
(Scientific Research, 2012-08) Mannan, Mohammad Abdul; Islam, Asif; Uddin, Mohammad Nasir; Hassan, Mohammad Kamrul; Murata, Toshiaki; Tamura, Junji
Rotor flux and torque of an induction motor (IM) are decoupled to obtain performance of DC motor. The decoupling strategy has been developed in terms of stator current components where the core loss is neglected. Many different controllers including fuzzy logic controller (FLC) with neglecting core loss have been designed to control the speed of induction motor. The outcome of investigation about the effect of core loss on indirect field oriented control (IFOC) has been concluded that the actual flux and torque are not reached to the reference flux and torque if core loss is neglected. Thus, the purpose of this paper is to propose a fuzzy logic speed controller of induction motor where flux and torque decoupling strategy is decoupled in terms of magnetizing current instead of stator current to alleviate the effects of core loss. The performances of proposed fuzzy-logic-based controller have been verified by computer simulation. The simulation of speed control of IM using PI and FLC are performed. The simulation study for high-performance control of IM drive shows the superiority of the proposed fuzzy logic controller over the conventional PI controller.
Fuzzy-Logic Based Speed Control of Induction Motor Considering Core Loss into Account
(Scientific Research-USA, 2012-08) Mannan, Mohammad Abdul; Islam, Asif; Uddin, Mohammad Nasir; Hassan, Mohammad Kamrul; Murata, Toshiaki; Tamura, Junji
Rotor flux and torque of an induction motor (IM) are decoupled to obtain performance of DC motor. The decoupling strategy has been developed in terms of stator current components where the core loss is neglected. Many different controllers including fuzzy logic controller (FLC) with neglecting core loss have been designed to control the speed of induction motor. The outcome of investigation about the effect of core loss on indirect field oriented control (IFOC) has been concluded that the actual flux and torque are not reached to the reference flux and torque if core loss is neglected. Thus, the purpose of this paper is to propose a fuzzy logic speed controller of induction motor where flux and torque decoupling strategy is decoupled in terms of magnetizing current instead of stator current to alleviate the effects of core loss. The performances of proposed fuzzy-logic-based controller have been verified by computer simulation. The simulation of speed control of IM using PI and FLC are performed. The simulation study for high-performance control of IM drive shows the superiority of the proposed fuzzy logic controller over the conventional PI controller.