Pelajar FSKTM ikuti lawatan aktiviti pekerjaan pengkomputeran di Batam

BATAM (Indonesia), 10 Jan – 14 pelajar Fakulti Sains Komputer dan Teknologi Maklumat (FSKTM), Universiti Putra Malaysia (UPM) mengikuti lawatan ke Nongsa Digital Park (NDP), Infinite Studios Batam dan Politeknik Negeri Batam (PoliBatam) di sini bagi mendedahkan mereka kepada aktiviti pekerjaan yang melibatkan pengkomputeran

A robust geometric skin colour face detection method under unconstrained environment of smartphone database

Face detection is the primary task in building a vision-based human-computer interaction system and in special applications such as face recognition, face tracking, face identification, expression recognition and also content-based image retrieval. A potent face detection system must be able to detect faces irrespective of illuminations, shadows, cluttered backgrounds, orientation and facial expressions. In previous literature, many approaches for face detection had been proposed. However, face detection in outdoor images with uncontrolled illumination and images with complex background are still a serious problem. Hence, in this paper, we had proposed a Geometric Skin Colour (GSC) method for detecting faces accurately in real world image, under capturing conditions of both indoor and outdoor, and with a variety of illuminations and also in cluttered backgrounds. The selected method was evaluated on two different face video smartphone databases and the obtained results proved the out performance of the proposed method under the unconstrained environment of these databases

Automated Facial Features Points Localization for Age Estimation Based on Ideal Frontal Symmetry and Proportion of the Face

Age Estimation Components, i.e. the extraction and localization of facial features landmark points, which represent ageing pattern are very important steps in the age estimation process. A good age estimation technique will contain enough variation of landmark points and consider all important points to express the full complexity of the problem. Major progress has been achieved recently in the area of facial landmark localization and extraction method for age estimation. Moreover, measuring facial features landmark points for age classification algorithm has become an interesting subject when dealing with automatic localization process. However, the difficulties to measure the points automatically divert to wrong result if the method unable to locate exact facial features landmark points properly at critical area with complex appearance. Such as measuring points at upper region of face when dealing with individuals with no hair or hair that covered part of the forehead. Therefore, we address this issue by proposing a new method to automatically localize optimal facial landmark points from an input of face image based on Ideal Frontal Symmetry and Proportion of the face. The performance of the proposed algorithm is evaluated with baseline localization using qualitative evaluations. The proposed method achieved a satisfying outcome, which is an average of 80% detection rate for every detected landmark points. The advantage of this method is to accurately identify the points with automatic processing. Each of the point’s position localization process was learned independently so that it is suitable to be implemented in real-time face tracking application

A User study on virtual tutor mobile augmented reality from undergraduate medical student perspectives

Mobile Augmented Reality (MAR) is another fascinating educational innovation with broad potential. It allows for new educational tactics, particularly in medicine. The concept of MAR can help learning activities in several ways, including allowing faster access to information in the mobile platform, increasing student motivation, making the learning process easier and more efficient, and aiding students in better understanding important concepts. However, three things needed to be considered: interface design, the usefulness of Augmented Reality (AR), technical problems with the use of AR applications, and teacher training on the use of AR applications. Without a well-designed interface and guidance for the students, AR technology can be too complicated to use, especially for those who are not familiar with the technology. An interface should be easy to remember and learnt by the user on how to best utilize it. In this study, we present a virtual tutor in the tutorial section, named Otus, which aids the students on how to use a MAR application called BARA (Brain Anatomy Revision Application). Our goal is to create a fluid interface flow in this MAR application for education that includes a virtual tutor. By including a virtual tutor, users can quickly increase their comprehension of how to use the application on their own. We ran an experiment to evaluate the usefulness of the Otus, comparing two groups: one was the experimental group, which consisted of 12 students using BARA with Otus in the tutorial, and the other was control group, which consisted of 12 students using BARA without Otus. We concluded from our questionnaire and observations that the experimental group was able to experience AR step by step and required more time to navigate the MAR app

Augmented reality in facilitating learning: a review

The present study reviews the augmented reality application in the education area. Justification of the use is to improve the learning motivation and outcome of students through the use of a deep learning approach. A deep learning approach is associated with better academic performances. Augmented reality provides a tool to motivate learning and understanding in the student. In the medical domain, augmented reality may serve as replacement of cadavers especially during online learning. The main aim of the current review is to reflect the use of augmented reality as a teaching and learning tool to motivate and promote the deep learning approach process which includes life-long learning and possible research areas that warrant and assess the impact of augmented reality on academic performance. Augmented reality may be a tool in complementing the learning aids of the conventional methods of teaching and learning

The Use of Metamodel-based Approach for Designing Healthcare Applications

Recently, the use of Model-Driven Engineering (MDE) via metamodeling approach is gaining more attention for software applications development. The community from the healthcare domain also attempts to employ the metamodel approach for producing quality healthcare applications. Healthcare applications have become an imperative in every attempt to improve healthcare management. Numerous studies reported that the healthcare domain is seen as a complex and unique domain, which involves dynamic characteristics. In addition, it is widely recognized that the increase of information exchange in the healthcare domain is caused by the diversity of healthcare data. This has led to the increase use of information technologies in the healthcare industry so as to enhance the healthcare delivery process via healthcare applications. However, the complexity of healthcare information leads to ineffective models and design of healthcare applications. Modeling the healthcare processes and developing healthcare applications are challenging tasks.  Hence, the advances of MDE have influenced the use of the metamodeling technique in the development of healthcare applications. Various metamodels are developed as a solution to provide a clear healthcare process model and a correct healthcare application. The aim of this paper is to analyse the use of the metamodel-based approach in designing healthcare applications. We believe that the metamodel-based approach would improve the development of healthcare applications.&nbsp

Lab image and field image contrast quality differentiation

Image processing performance can be improved with the process of resizing the original input image to one standard size. Most of the previous studies used a standard size of 256 x 256 to provide the image as the image pre-processing material. The result of different image size dimension are shows in this research to proven that image resizing is important. Reducing image dimension size can help to improve system performance. At the same time, it is importance to keep the image quality. This study shows that by reducing image dimension, it can improve the computer or system performance more than 95%. Image quality can be measured to get helpful information for the study after resizing the image into the same standard size. In this study, measurement of contrast levels was taken to compare the quality differences between image labs and field images. It turns out that the quality of lab image produces high-quality images with good brightness over image field image.The best quality image is the images that have low contrast. Therefore in this research paper we used CLAHE method to enhance the contrast and brightness for field image

AUGMENTED REALITY IN FACILITATING LEARNING: A REVIEW

The present study reviews the augmented reality application in the education area. Justification of the use is to improve the learning motivation and outcome of students through the use of a deep learning approach. A deep learning approach is associated with better academic performances. Augmented reality provides a tool to motivate learning and understanding in the student. In the medical domain, augmented reality may serve as replacement of cadavers especially during online learning. The main aim of the current review is to reflect the use of augmented reality as a teaching and learning tool to motivate and promote the deep learning approach process which includes life-long learning and possible research areas that warrant and assess the impact of augmented reality on academic performance. Augmented reality may be a tool in complementing the learning aids of the conventional methods of teaching and learning

Blending of three-dimensional geometric model shapes

Three-dimensional (3D) geometric model shapes blending method can create various in-between models from two inputs of models shapes. Though, many blended shapes are implausible due to different inputs of model type, inappropriate matching-parts, improper parts-segmentation, and non-tally number of segmentation parts. are crucial and should be taken into account. The objective of this paper is to study the strengths and weaknesses of some prominent shapes blending methods and the 3D reconstruction methods. An interpolated shape blending program using the Laplacian-based contraction and Slinky-based segmentation method is developed to illustrate the critical problems arise in the shape blending process. Output results are to be compared with some prominent existing methods and one will observe the potential research direction in the blending research wor

A method for Arabic handwritten diacritics characters

An Optical Character Recognition (OCR) is the process of converting an image representation of a document into an editable format. In addition, people have the ability to recognize characters without difficulty as reading papers or books. However, developing an OCR system that has the ability to read and recognized Arabic diacritics characters as human still, remain a problem. More, specifically, poor recognition rate in most of optical diacritics characters recognition is mainly attributed to failing in segmenting a handwritten text correctly. To overcome this problem, we perform develop a method based on seven operations; it starts with searching the text-line height followed by reading words from the line. Then identify the diacritics regions. The segmentation is also applied during this operation by converting the text-line into a grayscale and binary image. Moreover, we introduced a new model based on k-nearest neighbors (KNN) algorithm to identify diacritics and characters segmentation. KNN is trained to directly predict the diacritic from the text-line. Finally, we offer an evaluation discussion on optical diacritics characters recognition