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10 record(s) found

Sistem Sokongan Keputusan untuk menilai dan memantau prestasi guru: kajian rintis di SMK Bachok, Kelantan

Mohamad Samuri Suzani, Abdul Ghani Hermaelisrani, Rahmatullah Bahbibi, Ab Aziz Nurul Syakilah,

Article Published 2016 9509 hits Available

Development of an off-axis digital holographic microscope for large scale measurement in fluid mechanics

Tamrin K. F., Rahmatullah Bahbibi, Samuri S. M.,

Abstract

Holographic particle image velocimetry is a promising technique to probe and characterize complex flow dynamics since it is a truly three-dimensional (3D) three-component measurement technique. The technique simply records the coherent light scattered by small seeding particles that are assumed to faithfully follow the flow and uses it to reconstruct the event afterward. Re-construction of the event is usually performed using a digital video micro-scope mounted on a 3D translation stage. The microscope records the inten-sity only which consequently results in loss of phase information. The objec-tive of this paper is to develop and apply digital holographic microscopy with the aim to recover the phase information. Digital holographic microscopy has immense potentials in microscale solid and fluid measurements as it offers the possibility of digital wavefront processing by manipulating amplitude and phase of the recorded holograms. In this paper, we have developed an off-axis digital ho.....

Conference Item Published 2014 1580 hits Available

Measurement of signal-to-noise ratio (SNR) in off-axis particle holography using paraxial approximation

Tamrin K. F., Rahmatullah Bahbibi, Samuri S. M.,

Abstract

Particle image velocimetry (PIV) technique in its original form is limited to in-plane two-dimensional two-component (2D-2C) displacement and velocity measurements. Although it is possible to extract the out-of-plane component through stereoscopic viewing, the useful measurement volume remains limited to a light sheet of several millimeters thick. On the other hand, integration of holographic recording in PIV (HPIV) has finally realised whole-field, three-dimensional three-component (3D-3C) displacement and velocity measurements. In comparison to in-line particle holography, off-axis particle holography offers a relatively higher signal-to-noise ratio (SNR) although it demands long coherence and high laser energy for flow diagnostics. In-line particle holography relaxes the requirements of such a system but at the expense of image (signal) degradation due to superposition of virtual image waves, the directly transmitted reconstruction wave and the real image. On this basis, off-axis se.....

Conference Item Published 2014 1449 hits Available

Astigmatism compensation in digital holographic microscopy using complex-amplitude correlation

Tamrin Khairul Fikri, Rahmatullah Bahbibi, Mohamad Samuri Suzani,

Abstract

Digital holographic microscopy (DHM) is a promising tool for a three-dimensional imaging of microscopic particles. It offers the possibility of wavefront processing by manipulating amplitude and phase of the recorded digital holograms. With a view to compensate for aberration in the reconstructed particle images, this paper discusses a new approach of aberration compensation based on complex amplitude correlation and the use of a priori information. The approach is applied to holograms of microscopic particles flowing inside a cylindrical micro-channel recorded using an off-axis digital holographic microscope. The approach results in improvements in the image and signal qualities...

Conference Item Published 2014 2573 hits Available

Association between belief and attitude toward preference of complementary alternative medicine use

Islahudin Farida, Shahdan Intan Azura, Mohamad-Samuri Suzani,

Article Published 2017 1766 hits Limited

Intelligent 3D analysis for detection and classification of breast cancer

Suzani Mohamad Samuri

Abstract

Breast cancer continues to be a significant public health problem in the world. Early detection is the key for improving breast cancer prognosis. Mammography has been one of the most reliable methods for early detection of breast carcinomas. However, it is difficult for radiologists to provide both accurate and uniform evaluation for the enormous mammograms generated in widespread screening. Breast cancer computer aided diagnosis (CAD) systems can provide such help and they are important and necessary for breast cancer control. Micro calcifications and masses are the two most important indicators of malignancy, and their automated detection is very valuable for early breast cancer diagnosis. Since masses are often indistinguishable from the surrounding parenchymal, automated mass detection and classification is even more challenging. This research presents algorithms for building a classification system or CAD, especially to obtain the different characteristics of mass and micro calcif.....

Article Published 2019 1419 hits Available

EEG motor imagery applications in brain-computer interface based wheelchair control

Suzani binti Mohamad Samuri

Abstract

Principally, this study gives an overview about the Neuronal oscillations appear throughout the nervous system in structures as well as, the range of frequencies of clinical and physiological interests for motor imagery EEG signal. In addition, a brief description about MI paradigm which is also known as movement imagery, which is a mental process through which a person imagines a physical action, such as jumping, or moving hands. In particular, event-related desynchronization (ERD) and synchronization (ERS). Finally, a set of studies have been listed towards highlights the advantages of using BCI Competition dataset which is a public dataset that have been widely used in the analysis of the EEG motor imagery signal methods and technique ..

Article Published 2019 1529 hits Available

LACLOD: Learning Analytics For Childrens Logic Development

Suzani Mohamad Samuri

Abstract

Learning Analytics for Children's Logic Development (LACLOD) is a web-based and mobile friendly learning analytic platform for assessing the logic development of children age 3 to 4 years old in TASKA PERMATA UPSI Malaysia. The platform is developed using Unity and connected through Google Analytics (GA) plugin where it tracked the user interaction for the application. LACLOD is designed only for mobile or tablet which is using Android. In this paper, the development of this learning analytic platform is presented. For evaluation of this system, observation and survey have been used, to get the feedback from 2 teachers (female) and 3 children (2 female and 1 male). Based on the evaluation, it can be seen that there are still rooms for improvement. Female children found it quit hard to understand the game but the male children looked satisfy because he knew on how to navigate the app and he actively played the app by himself. As for teachers, the acceptance to this kind of assessment is.....

Article Published 2021 1105 hits Available

A systematic rank of smart training environment applications with motor imagery brain-computer interface

Suzani Mohamad Samuri

Abstract

Brain-Computer Interface (BCI) research is considered one of the significant interdisciplinary fields. It assists people with severe motor disabilities to recover and improve their motor actions through rehabilitation sessions using Motor Imagery (MI) based BCI systems. Several smart criteria, such as virtual reality, plays a significant role in training people for motor recovery in a virtual environment. Accordingly, Smart Training Environments (STEs) based on virtual reality for MI-BCI users provide a safe environment. They are cost-effective for real-life conditions and scenarios with severe motor disabilities. Fundamentally, the literature presents a lack of comparison of the STE applications considering the smart and effective criteria of the developed applications. Accordingly, three key issues faced the comparison process: importance, multi-evaluation criteria, and data variation, which falls under complex Multi-Criteria Decision Making (MCDM). Performance issues increased compa.....

Article Published 2023 654 hits Available

Sistem sokongan keputusan untuk menilai dan memantau prestasi guru: kajian rintis di Smk Bachok, Kelantan

Suzani Mohamad Samuri

Abstract

Kajian ini mencadangkan sistem yang lebih mudah dan berkesan untuk penilaian prestasi guru-guru di sekolah menggunakan Sistem Sokongan Keputusan (Decision Support System, DSS) yang dipanggil Key Performance Indicator-Monitoring Tool (KPI-MT). Antara muka sistem ini telah dibangunkan dengan menggunakan perisian Macromedia Dreamweaver, manakala PHP Hypertext Preprocessor (PHP) versi 5.2.9 digunakan sebagai bahasa skrip dan MySQL versi 5.0 sebagai sistem pengurusan pangkalan data. DSS dalam sistem KPI-MT juga turut menggunakan kaedah jumlah wajaran (Weighted Sum Method, WSM) untuk mengira markah keseluruhan guruguru dan juga untuk menentukan sama ada prestasi guru dalam tahun itu adalah sangat baik, baik, sederhana, kurang memuaskan atau lemah. Dengan sistem KPI-MT, pengetua sekolah boleh memantau prestasi guru bermula dari tahun pertama perkhidmatan guru di sekolah. Untuk memastikan bahawa keseluruhan sistem yang dibangunkan memenuhi keperluan sekolah dan untuk melihat sama ada antaramuk.....

Article Published 2016 162 hits Available

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