Hard Switching Characteristics of SiC and GaN Devices for Future Electric Vehicle Charging Stations

Wide bandgap(WBG) semiconductors offer better switching and lower losses, and it is not uncommon to utilize them for high power density, high-efficiency applications. Gallium nitride (GaN) and Silicon carbide (SiC) are the most common WBG materials that are responsible for major switching level changes relative to silicon devices

Numerical Simulation of Blood Flow to Predict Risk of Aneurysm Rupture in Brain Vessel

Hemodynamic parameters played an important role in rupture risk prediction brain aneurysms. Relative residence time (RRT) is an important hemodynamic parameter to investigate the rupture risk. The prediction was performed through numerical simulation of two-phase blood flow solved by discrete phase model (DPM).

Payback Period and Life Cycle Emissions of a Commercial Solar Carport with a Virtual Case Study

The solar carport is an infrastructural concept for facilitating charge for electric vehicles. Charging stations (CS) predominantly utilise solar photovoltaics to generate power. From the virtual case study analysis, the generated energy can sell at 0.58 MYR/kWh for 25 years to generate revenue of 2,653.6 kMYR.

Performance evaluation of a hybrid photovoltaic/thermoelectric generator system under non-tracking and tracking condition

The performance of a hybrid PV/TEG system and the optimum number of TEGs required for maximum output is evaluated for three operating conditions: without tracking, single-axis tracking, and dual-axis tracking.

Stealth Detection System via Multistage Radar and Quantum Radar

In this study, a novel anti-stealth technique using void detection, high frequency wave interference and neutrino beam propagation is proposed. This unique phenomenon produces a moving image, which is the precise location of the aircraft in the space.

A Bio-Inspired Design of Wings to Optimize the Aerodynamic Performance of small UAVs

This research investigates the application of a bio-inspired wing design to enhance the aerodynamic performance of small UAVs. Different bird wing configurations are investigated to identify the effects of wing parameters on the aerodynamic performance. A compromise is used to design an innovative wing configuration with optimized aerodynamic performance.

Honeypot Coupled Machine Learning Model for Botnet Detection and Classification in IoT Smart Factory – An Investigation

Smart factories use a diversity of IoT equipment which on the other hand exposes to the high security risk such as botnet attacks. The current botnet detection models using honeypot are limited in accuracy and detection time. Therefore, honeypot combining ML is able to improve model performance.

Design and Analysis of low-speed airfoil with Morphing wing configuration for optimal Aerodynamic performance

The project is to review the aerodynamic performance of current morphing wings in aircraft and conduct CFD Simulation of 3D wing with morphing wing configurations to obtain lift-to-drag coefficients ratio in order to investigate and analyse the aerodynamic characteristics of morphing wings.

Transient Stability Assessment of IEEE 9-Bus System Integrated Wind Farm

This research aims to evaluate the effect of wind energy on transient stability of power system considering the high penetration of wind farm at several locations. Hence, the results will help power system operators and developers to increase the contribution of renewable energy and enable the reliability of the grid.

Taylor's InnoFest 2020

Where technology meets design and business

Contact Us

To learn more, don’t hesitate to get in touch

Copyright © 2020 Taylor's University.  All rights reserved.