19 research outputs found

    FIST's postgraduates during the 6th UMP convocation

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    OCT 10, GAMBANG : UMP's 6th Convocation was held on 1st October 2.011 at UMP's Sports Complex which witnessed 1 ,2.90 graduates receiving their doctoral, master and bachelor degrees and diplomas

    Fractional order sliding mode controller based on supervised machine learning techniques for speed control of PMSM

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    Tracking the speed and current in permanent magnet synchronous motors (PMSMs) for industrial applications is challenging due to various external and internal disturbances such as parameter variations, unmodelled dynamics, and external load disturbances. Inaccurate tracking of speed and current results in severe system deterioration and overheating. Therefore, the design of the controller for a PMSM is essential to ensure the system can operate efficiently under conditions of parametric uncertainties and significant variations. The present work proposes a PMSM speed controller using machine learning (ML) techniques for quick response and insensitivity to parameter changes and disturbances. The proposed ML controller is designed by learning fractional-order sliding mode control (FOSMC) controller behavior. The primary purpose of using ML in FOSMC is to avoid the self-tuning of the parameters and ensure the speed reaches the reference value in finite time with faster convergence and better tracking precision. Furthermore, the ML model does not require the mathematical model of the speed controller. In this work, several ML models are empirically evaluated on their estimation accuracy for speed tracking, namely ordinary least squares, passive-aggressive regression, random forest, and support vector machine. Finally, the proposed controller is implemented on a real-time hardware-in-the-loop (HIL) simulation platform from PLECS Inc. Comparative simulation and experimental results are presented and discussed. It is shown from the comparative study that the proposed FOSMC based on ML outperformed the traditional sliding mode control (SMC), which is more commonly used in industry in terms of tracking speed and accuracy

    A Hybrid Thermal-Visible Fusion for Outdoor Human Detection

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    Multisensory image fusion can be used to improve the visual interpretability of an image for further processing task. A hybrid thermal-visible image fusion is proposed in this paper to detect the target and produce an output image that had all the information from both sensors. The thermal target region was extracted using Niblack algorithm and some morphological operators. Then, the source images were decomposed at pixel level using Stationary Wavelet Transform (SWT). The appropriate fusion rule were chosen for low and high frequency components and finally the fused image was obtained from inverse SWT. Results show that the proposed method achieve better to include figure of merit than the other three methods

    Spotlight on graduate student, Azhar Fakharuddin, PhD (Advanced Materials

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    A?har Fakharuddin originates from Azad Kashmir, Pakistan. He has Bachelor and Masters degrees in electronic engineering. The decision to change to science and technology field was one of the most difficult decisions he has ever made

    Bachelor of Applied Sciences (Hon.) Material Technology

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    Universiti Malaysia Pahang is committed to developing new and innovative programs to ensure our graduates are equipped wfth the skills and knowledge relevant to today's market demands. The Faculty of Indust rial Sciences & Technology (FIST) will be offering the new MQA-accreditated Bachelor of Applied Sciences (Hon.) Material Technology

    Signing of letter of intent (LOI) between FIST, UMP, FRIM and TPM

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    OCT 12, MARAN: To strengthen research collaboration on herbs in Malaysia, the Faculty of Industrial Sciences & Technology (FIST), Universiti Malaysia Pahang (UMP) has signed a Letter of Intent (LOI) with Forest Research Institute Malaysia (FRIM) and TPM Biotech Sdn. Bhd. at the FR IM station in Kampung Ulu Luit, Maran

    Four rare earth elements that will only get more important

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    Rare earth elements are neither rare, nor earth and they tend to be things that are added, in small doses, to composites and alloys. Rare earths have really unique chemical and physical properties-that allow them to interact with other elements and get results that neither element could get on its own. Rare earth elements are crucial to the way we live now; responsible for miniaturizing computers and headphones, powering hybrid cars and more. Rare earth elements-a set of 17 related metals, mostly shunted off to a tacked - on lower line of the periodic table- are crucial to the way we live now; responsible for miniaturizfn9 computers and headphones, powering hybrid cars and more. The time has come to get better acquainted with the molecules that make our modern world run

    Dr. Gaanty Pragas receives award from IKM

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    DEC 9, KUALA LUMPUR : The Tan Sri Datuk Ong Kee Hui Postgraduate Chemistry Medal is given annually to the most outstanding chemistry postgraduate thesis by lnstitut Kimia Malaysia (IKM) since 1974

    Fuel cell

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    With the current debates over energy, more people are aware of the benefits and potential applications of fuel cells. The principle of the fuel cell was discovered by German scientist Christian Friedrich Schonbein in 1B3B. Fuel cells produce energy without combustion by an electrochemical process using hydrogen fuel. A fuel cell consists oftwo electrodes sandwiched around an electrolyte. Oxygen (from the air) enters the fuel cell through the cathode . Encouraged by a catalyst, the hydrogen atom splits into a proton and an electron, which take different paths to the cathode. The proton passes through the electrolyte. The electrons create a separate current that can be utilized before they are reunited wfth the hydrogen and oxygen to form water molecules
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