Parkbuddy – Find My Car Android Mobile Application

As a result of technological progress, smartphones become an excellent choice for the user to make their life easier. This paper discussed how to locate parked vehicle using mobile application. The situation of forgetting where last vehicle location was parked and trying to remember it can become problem to some people especially to those who are having deterioration of memory such as a short term memory and dementia. This mobile application helps these users to locate their vehicle by utilising the global positioning system (GPS) system. This paper presents and critically analyses the system developed to solve the problem

SambaKodiPi A Personal File Server and Media Center

Conventional file sharing and media viewing usually involve slow and tedious data transfer. This project aims to provide access convenience for sharing data and directviewing of media files by having file server (FS) and media center (MC) capability using Raspberry Pi (RPi). The system consists of several functionalities that were developed through iterative and incremental development. The resulting system has its FS function catered by Samba program and its MC function catered by Kodi program. Direct MC output is on highdefinition television (HDTV). The web-based user interface (WebUI) provides administrative functions for the system, its FS and users management and indirect access to its MC function through web player for all registered users. The system has undergone several testing processes, and it is a working prototype of an economical and feasible file server and media center using RPi. The system can still be improved with other functions and features in the future

Mobile augmented reality for biology learning : Review and design recommendations

In the last decade, the implementation of mobile Augmented Reality (AR) has transformed the conventional biology classroom environment. However, only limited articles were found to review the learning content of AR applications for learning biology. Thus, this paper presents a review and analysis of the development of mobile AR applications for learning biology. Four articles that reported the development of AR learning apps for biology from indexing databases were analyzed (Scopus = 3, ScienceDirect = 1). In addition, three apps for learning Biology from Google Play were reviewed and recommended. For the implication, we recommend five important features for developing science AR apps. This synthesized review would benefit teachers and educators, thereby suggesting a path for future work

Analysis of Light Bulb Temperature Control for Egg Incubator Design

This paper explained the analysis and findings of using light bulb as a thermal source for an incubator system. The inner dimension of the incubator is 26 cm (W) x 38 cm (L) x 26 cm (H). In the experiment, a temperature sensor that measures the inside temperature of the incubator used as a feedback signal. To run the experiments, number of light bulbs and its type were determined. There are three types of bulb used i.e. Incandescent Light (IL Bulb), Compact Fluorescent Lamp (CFL Bulb) and Light Emitting Diode (LED Bulb).  Three fixtures are proposed for each bulb type, i.e. one-bulb fixture, two-bulb fixture and three-bulb fixture. Apart from that, three control modes were tested, i.e. Mode 1, Mode 2 and Mode 3. Mode 1 is ON-OFF bulb control. Mode 2 is ON-OFF bulb control, as well as ON-OFF ventilation fan control. Finally, Mode 3 is only ON bulb control and ON-OFF ventilation fans The experimental results showed that, for the chosen incubator size, three-bulb fixture IL-type light bulb controlled with Mode 3 control gave shorter time to reach the set point then return to set point after overshoot

Detection of Monocrystalline Silicon Wafer Defects Using Deep Transfer Learning

Defect detection is an important step in industrial production of monocrystalline silicon. Through the study of deep learning, this work proposes a framework for classifying monocrystalline silicon wafer defects using deep transfer learning (DTL). An existing pre-trained deep learning model was used as the starting point for building a new model. We studied the use of DTL and the potential adaptation of MobileNetV2 that was pre-trained using ImageNet for extracting monocrystalline silicon wafer defect features. This has led to speeding up the training process and to improving performance of the DTL-MobileNetV2 model in detecting and classifying six types of monocrystalline silicon wafer defects (crack, double contrast, hole, microcrack, saw-mark and stain). The process of training the DTL-MobileNetV2 model was optimized by relying on the dense block layer and global average pooling (GAP) method which had accelerated the convergence rate and improved generalization of the classification network. The monocrystalline silicon wafer defect classification technique relying on the DTL-MobileNetV2 model achieved the accuracy rate of 98.99% when evaluated against the testing set. This shows that DTL is an effective way of detecting different types of defects in monocrystalline silicon wafers, thus being suitable for minimizing misclassification and maximizing the overall production capacities

Designing Engaging Learning Activities in MOOC: A Success Story

The booming era of e-learning has evolved over the past decade. Massive Open Online Courses (MOOCs) has revolutionized as the in-thing that offer richer, wider, and connected learning experiences. MOOCs have made an interesting splash on online education canvas especially after Coursera, Udacity, and edX have become the main player in the industry. This article presents a brief success story of the implementation of homemade MOOC for TMU1043 Multimedia Technology course during semester 1, 2015/2016. We also discuss how we designed engaging learning activities on our MOOC. In the future work section, we discuss a plan of a Scholarship of Teaching and Learning (SoTL) research that we are going to conduct based on our MOOC

Classification of piper nigrum samples using machine learning techniques: A comparison

Pepper is a key export of the state of Sarawak (Malaysian Borneo). At present, processed pepper berries are graded manually. This process is time consuming and error prone as it is very much dependent on the experience of the pepper grader. To overcome these weaknesses, we propose an automated Pepper Grading System which employs image processing and machine learning using image features and moisture content data of the pepper berries. In this paper, we present our findings of using twenty machine learning algorithms to classify the pepper berries into its respective grades based on image features, which is part of our research work towards an automated Pepper Grading System. We found that Rotation Forest was the best classifie

Evaluating The Alternative Assessment Practices in All Current Courses Offered by WC11 Programme

WC11 Network Computing Programme offeredBachelor of Computer Science with Honours (Network Computing) since 2003. The curriculum structure covers fundamental and advance network computing concepts on the use of computers and other devices in a linked network, rather than as unconnected, stand-alone devices. Network computing is a dynamic area of study. Therefore, teaching and learning approaches for network computing has to adapt with the progressive development of the network technologies