Rosfuzah Roslan
Universiti Tun Hussein Onn Malaysia

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Contact Lens Classification by Using Segmented Lens Boundary Features Nur Ariffin Mohd Zin; Hishammuddin Asmuni; Haza Nuzly Abdul Hamed; Razib M. Othman; Shahreen Kasim; Rohayanti Hassan; Zalmiyah Zakaria; Rosfuzah Roslan
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i3.pp1129-1135

Abstract

Recent studies have shown that the wearing of soft lens may lead to performance degradation with the increase of false reject rate. However, detecting the presence of soft lens is a non-trivial task as its texture that almost indiscernible. In this work, we proposed a classification method to identify the existence of soft lens in iris image. Our proposed method starts with segmenting the lens boundary on top of the sclera region. Then, the segmented boundary is used as features and extracted by local descriptors. These features are then trained and classified using Support Vector Machines. This method was tested on Notre Dame Cosmetic Contact Lens 2013 database. Experiment showed that the proposed method performed better than state of the art methods.
Predicting teachers’ use of digital technology Siti Syuhada Abu Hanifah; Norliza Ghazali; Ahmad Fauzi Mohd Ayub; Rosfuzah Roslan
International Journal of Evaluation and Research in Education (IJERE) Vol 12, No 2: June 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v12i2.24237

Abstract

In recent years, the use of digital technology and its relationship to the ability known as digital competence has become a core concept in discussions about the skills that individuals should possess in a knowledge society. Teachers’ skills in using digital technology are becoming a critical component of developing practical pedagogical knowledge for practice and student learning enhancement. The purpose of this study is to predict the factors that influence secondary school teachers when it comes to using digital technology. This study will establish relationships between personal innovativeness, technology self-efficacy, attitude toward digital technology, and digital competence. In Pahang, Malaysia, a survey was conducted with 493 secondary school teachers from 50 public secondary schools of 11 districts. Proportionate stratified sampling, cluster random sampling, and simple random sampling were used to obtain samples. The findings have established that technology self-efficacy, attitude towards digital technology, and digital competence significantly affect how teachers use digital technology. These findings emphasize the importance of increasing teachers’ digital competence as well as numerous elements that influence teachers’ use of digital technology to fulfill the expectations of future qualified professions and thus prepare students for their future.