Improving academic advisor and student engagement via development of an integrated mentoring system / Muhammad Afiq Mohd Azmin ...[et al.]

The purpose of this study is to develop a web-based information system for managing interaction between an Academic Advisor (Mentor) and students (Mentees) in the context of Malaysian higher education institutions. A preliminary study was conducted at the Faculty of Information Management, University Teknologi MARA, Cawangan Kelantan. The prototype of the system is developed based on Rapid Application Development (RAD) methodology. This study addressed three problems; (1) lack of platform to manage interaction between lecturer and students, (2) lack of tools to effectively measure the level of student’s satisfaction and welfare, and (3) lack of tools to effectively measure the level of Academic Advisor engagement with their mentees. To solve the research problems, a study was conducted in three phases; (1) review of previous literature, (2) prototype development of iMAMS, and (3) empirical study to measure user satisfaction towards iMAMS. As a result, this study introduces novel ideas of CPS Score, SWi Score, and STCC Code. The prototype of iMAMS is protected under Copyright Act 1987 and can be commercialized as a software product and mobile application. Potential clients are universities, schools, NGOs, and government agencies. The prototype of iMAMS can be downloaded from Google PlayStore and also accessible via http://imams.uitmapps.com/v201

Effects of cutter geometry and cutting parameters on machining Al/SiC Metal Matrix Composites (MMC)

Al/SiC Metal Matrix Composite (MMC) have now become one of the prominent materials in composite materials especially in automotive industry. It has gained tremendous demand due to their tailored properties such as lightweight, high strength and wear resistant. However, these materials are classified as poor machinability material due to the presence of the hard-abrasive reinforcement particles within the matrix. Moreover, the lack of commercialization of a specific cutting tool for machining MMC materials is the source of several inherent problems such as rough machined surface and high cutting temperature. Furthermore, most of the researches on machining MMC are merely focus only on the effect of cutting parameters. Addressing to this matter, the development of new cutter design specifically for machining MMC are necessitate. Therefore, the aim of this paper is to study the combined effect between cutter geometrical features (helix angles, rake angles, clearance angles, number of flutes) and cutting parameter (cutting speed, feed rate and depth of cut) towards the machining performances namely surface roughness, cutting force and material removal rate. From the conducted experimental work, it was found that all of the considered factors has significant effect on the machining performances. As a conclusion, the obtained relationship between the responses with the cutter geometrical features and machining parameters can be used for the development of new cutter design specifically for machining Al/SiC MMC material

GANstronome :GAN-based gastronomic robot

Over the years, robots have been developed to learn and perform new tasks without the need of rigid manual programming that limits the robots to only a few tasks. Methods such as teleoperation, kinesthetics teaching have allowed robots to learn new tasks through demonstrations. In recent years, the introduction of Artificial Intelligence (A.I) to the field of robotics has opened up new rooms for more efficient ways to allow robots to learn via demonstrations. The introduction of A.I has also allowed humans to demonstrate intricate tasks without the need of special equipment and this could revolutionise the way robots learn. This project is particularly interested in robotic learning in the kitchen environment where tasks are often intricate. To date, robots learning via demonstrations in the gastronomical scene is rare as such tasks are often very complex to define. Demonstrating to the robot directly with our own bodies is still the best way to define such tasks. This project thus aims to find effective methods to allow robots map trajectories directly from human actions without any programming scripts, specialised equipment or any technical expertise. Specifically, this project investigates the deployment of an A.I framework called CycleGAN to translate video frames of the human arm demonstrating a task to frames of the robot performing the task itself. The use of CycleGAN has been known to work well in unpaired image-to-image translation between domains of different styles such as horses to zebras and from Monet-style artwork to Van Gogh-style artwork, however there is little study in translating two very different domains of different shapes. Further studies are also needed to translate human images to robot images. Learning directly and accurately just from human demonstrations could revolutionise how robots learn new and complex tasks.Bachelor of Engineering (Electrical and Electronic Engineering

Quality Evaluation On Rotary Ultrasonic Assisted Drilling For Chemically Strengthened Glass

Demand for Chemically Strengthened (CS) glass has steadily increased for the past decade predominantly by the electronic devices industry. One of the major reasons are due to its superior strength and crack resistance properties. However, due to its superior properties which resistant to compressive loads causing drawback to the subsequent secondary manufacturing process i.e. hole drilling. Conventional drilling process towards this glass tends to generate high tensile thrust that consequently affect the hole performances and accuracy. Considering these facts, in this paper a new drilling technique which assisted by the ultrasonic vibration frequency known as Rotary Ultrasonic Assisted Drilling (RUAD) is propose aim to increase the hole quality. A set of experimental work was conducted in order to assess the effects of the RUAD parameter namely cutting speed, feed rate, ultrasonic frequency and vibration amplitude towards hole quality. The analytical results demonstrated that the presence of the intermittent ultrasonic vibration amplitude was able to minimize the chipping area and enhance the hole quality with acceptable tolerance value