Displaying publications 81 - 88 of 88 in total

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  1. Umar Suleiman Dauda, Nik Noordini Nik Abdl Malik, Mazlina Esa, Mohd Fairus Mohd Yusoff, Mohamed Rijal Hamid
    MyJurnal
    Parameter estimation of complex exponential signals corrupted by additive white
    Gaussian noise (AWGN) is crucial in the study of distributed beamforming in a practical
    scenario. Near zero (0) phase offset are expected at the receiver end which rely on the
    smoothing and correction of the frequency and phase estimates. Neither
    computational complexity nor the processing latency has an effect on the expected
    zero phase offset but the estimation accuracy does. Thus, the maximum likelihood
    estimator (MLE) using Fast Fourier Transform (FFT) approach is being considered for
    cases with none and post processing in locating of the maximum peaks. Details on how
    the phase estimates are arrived at is not always covered in literatures but explained in
    the article. Numerical results obtained showed that global maximum peaks are arrived
    at by employing a fine search with higher values of FFT.
  2. Umawathy Techanamurthy, Zanariah Ahmad, Noorfadhilah Kahar, Fadhlina Ahmad, Ana Rohana Pataniah Salahuddin
    MyJurnal
    Flipped Classroom enables instructors to spend more time for hands-on problem-solving instruction compared to the traditional pedagogical model which involves lectures. The purpose of this study is to determine the need for a problem-solving flipped classroom module to be designed for the STM3023: Internet of Things (IoT) subject offered at the Certificate level at Malaysian Community Colleges. A structured interview was conducted with 16 lecturers from 14 Community Colleges offering the subject to obtain their views on current teaching practices along with the challenges faced in the teaching and learning of IoT to entry level students. Participants were also asked about their readiness towards the flipped classroom following an orientation session on Flipped Classroom approach. The findings showed that lecturers mostly used traditional pedagogical models in the TVET settings such as lectures. Students usually followed instructions and merely replicate the hands-on tasks as demonstrated by their lecturers in class. It was also found that students were struggling with the subject due to their lack of competency in programming and grasping electrical and electronics concepts. Students were also found to be weak in mathematics and reasoning skills, thus making it a challenge to teach IoT to them. Therefore, a myriad of media, materials and application of real-world concepts may be required to aid lecturers to improve students’ achievement in the subject. The flipped classroom approach for teaching which gives more time for hands-on problem-solving instruction may be appropriate to support lecturers to overcome the challenges in teaching IoT.
  3. Wahid, N. S. A., Saad, P., Hariharan, M.
    MyJurnal
    – This paper proposes the automatic infant cry classification to analyse infant cry signals.
    The cry classification system consists of three stages: (1) feature extraction, (2) feature selection, and
    (3) pattern classification. We extract features such as Mel Frequency Cepstral Coefficients (MFCC),
    Linear Prediction Cepstral Coefficients (LPCC), and dynamic features to represent the acoustic
    characteristics of the cry signals. Due to the high dimensionality of data resulting from the feature
    extraction stage, we perform feature selection in order to reduce the data dimensionality by selecting
    only the relevant features. In this stage, five different feature selection techniques are experimented. In
    pattern classification stage, two Artificial Neural Network (ANN) architectures: Multilayer Perceptron
    (MLP) and Radial Basis Function Network (RBFN) are used for classifying the cry signals into binary
    classes. Experimental results show that the best classification accuracy of 99.42% is obtained with
    RBFN. Copyright © 2016 Penerbit Akademia Baru - All rights reserved.
  4. Wan Maisarah Mukhtar, Nur Auni Marzuki, Affa Rozana Abdul Rashid
    MyJurnal
    This paper reports the effect of microbending losses in single mode optical fiber
    for pressure sensing system application. Several types of periodical corrugated
    plates were fabricated, namely cylindrical-structured surface (Plate A) and
    rectangular-structured surface (Plate B) with thicknesses of corrugated parts
    were varied at 0.1 cm, 0.2 cm and 0.3 cm. Laser sources with excitation
    wavelengths of 1= 1310 nm and 2= 1550 nm were launched at the first end
    of the fiber. The values of losses were recorded by using an optical power
    meter. It was clearly seen that the microbending losses were polynomially
    increased with the increment of applied pressure and the thicknesses of
    corrugated parts of Plate A and Plate B. The maximum microbending losses of
    1.5185 dBm/kPa was resulted as SMF was coupled with corrugated plates B
    with thicknesses of 0.3cm by using excitation wavelength of 1550nm. These
    values reduced to 0.7628 dBm/kPa and 0.4014 dBm/kPa as the thicknesses
    were decreased to 0.2cm and 0.1cm respectively. In comparison with a plain
    plate which acted as a reference indicator, the maximum percentage of
    microbending losses was obtained as 74.29 % for Plate A and 95.02 % for Plate
    B. In conclusions, we successfully proved the ability of SMF as a pressure sensor
    by manipulating the microbending losses experienced by the fiber. The
    employment of 1550nm of laser wavelength results better sensitivity sensor
    where the system able to detect large losses as the pressure applied on the
    corrugated surfaces.
  5. Wong, T. L., Ahmad, U. K., Tharmalingam, S.
    MyJurnal
    – The increasing use of fibre blends in clothing requires effective characterisation methods.
    Fibre analysts have often relied on the methods developed for single fibres to characterise fibre
    blends. This study was thus carried out using light microscopy and infrared spectroscopy to
    characterise binary-blended specimens and to evaluate the effectiveness of these tools on blended
    fibres. The blended samples were successfully characterised with the application of stereomicroscope,
    polarized light microscope (PLM), fluorescence microscope and attenuated total reflectance Fourier
    transform infrared spectroscopy (ATR-FTIR). PLM was more effective in discovering the presence of
    fibre blends compared to other techniques used in this work. Stereomicroscope allowed preliminary
    screening while fluorescence microscope provided useful information in fibre discrimination. High
    correlations (>80%) with combined infrared spectra of individual fibre components were reached for
    most blended samples. Therefore, light microscopy (stereo, polarizing and fluorescence) and infrared
    spectroscopy (ATR-FTIR) are recommended for the effective characterisation of fibre blends.
    Copyright © 2016 Penerbit Akademia Baru - All rights reserved.
  6. Ya, N. A., Singh, H. R., Samat, A., Mohd Rashid, H. N., Ramli, N. H., Makhtar, N., et al.
    MyJurnal
    Length-weight relationship (LWR) of six fish species from the Sepang Besar River estuary,
    Peninsular Malaysia were analyzes. A total of 594 individuals belonging to six species namely Arius
    sagor, Photopectoralis bindus, Plotosus lineatus, Toxotes chatareus, Toxotes jaculatrix, and Thryssa
    dussumieri collected from April 2014 to February 2015 were measured and weighed. Among them, four
    species showed positive allometric growth and the other two species showed negative allometric
    growth. The exponent b value of LWR ranged between 2.94 (Toxotes chatareus) and 3.50
    (Photopectoralis bindus). This outcome of the present study has contributed to the knowledge of basic
    information on the length–weight relationship of six most abundant species in Sepang Besar River
    estuary which is important for future ecological studies and assist in fishery management. Copyright
    © 2015 Penerbit Akademia Baru - All rights reserved.
  7. Yamusa Bello Yamus, Yamusa Bello Yamus, Ahmad Safuan A. Rashid, Kamarudin Ahmad, Norhan Abd Rahman
    MyJurnal
    Laterite soils are occasionally associated with geotechnical problems such as road deformation, erosion, settlement, dam seepage, slope instability, leachate permeation through hydraulic barriers, etc. Numerous soil improvement techniques were being applied to overcome these problems, including mixing the laterite soil with cements, limes, bitumen, chemicals, pozzolanas, etc. These additives may not be locally available and cheap, and could significantly increase the cost of construction. Likewise, in many cases, these stabilizing agents are not environmentally friendly. Different percentages of fines, sand and gravel in laterite soils exhibit different engineering characteristics and behaviour, making it difficult to obtain suitable and appropriate gradation for specific construction purposes. Thus, the essence of this review is to determine the fundamental engineering properties of laterite soil as a standalone material at different gradations to harness its potentiality for various construction purposes. It proposes step-by-step procedures on how to achieve a better soil by varying its gradation and moisture content. Laboratory testing in accordance with BS1377:1990 and ASTM D698 are adopted to examine the engineering characteristics with respect to hydraulic conductivity, shear strength, and volumetric shrinkage. In this experimental technique where molding water content and compaction energy are carefully controlled at different laterite gradations, the engineering design is anticipated to provide greater accuracy, safety, and sustainability.
  8. Zuan, A. M. S., Anuar, M. K. Z., Syahrullail, S., Musa, M. N., Rahim, E. A.
    MyJurnal
    Ocean wave energy is a renewable energy that is abundant on Earth. It is a concentrated
    form of solar energy where differential heating on Earth generate wind which transfer their energy into
    open water in form of waves. In relation to atmospheric emission, wave power is less environmentallydegrading
    than most other form of power generation. The fluctuating wave contains potential and
    mechanical energy which can be converted into electrical energy. A special device needs to be
    developed to harness the energy which is called Float Wave Energy Converter (FWEC). The purpose
    of this project is to design, fabricate and test the experimental model of FWEC. The efficiency of the
    model will be analysed based on wave power and power generated. The model are capable to generate
    power for small devices with low power consumption. The power generated from designated FWEC
    will be depends on several parameters which is wave amplitude, diameter ratio and shape of the model.
    This parameter would be used to determine the best design for FWEC. Copyright © 2015 Penerbit
    Akademia Baru - All rights reserved.
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