School of Electrical and Data Engineering

Most Recent
Most Downloaded

Utilizing MicroGenetic Algorithm for Optimal Design of Permanent-Magnet-Assisted WFSM for Traction Machines

Seo, HS Park, CB Kim, SH Lei, G Guo, Y Lee, HW

With increasing worries about the environment, there is a rising focus on saving energy in various industries. In the e-mobility industry of electric motors, permanent magnet synchronous motors (PM...

Continue Reading
Design and Analysis of Two Doubly Salient Permanent Magnet Machines

Guo, K Liu, C Guo, Y Li, C

In order to improve the torque density of doubly salient permanent magnet (PM) machine (DSPMM), two different DSPMMs (topologies I and II) with NdFeB PM materials embedded in the stator yoke are pr...

Continue Reading
WiLO-OFDM Transmission Scheme for Simultaneous Wireless Information and Power Transfer

Claessens, S Dhull, P Schreurs, D Pollin, S

Continue Reading
Enhanced Maximum Torque per Ampere Control with Predictable Core Loss for the Interior Permanent Magnet Synchronous Motor

Gong, Z Ba, X Zhang, C Guo, Y

Due to the availability of extended applications for the reluctance torque, increasing incorporation of interior permanent magnet synchronous motors (IPMSMs) has been observed in the electric drive...

Continue Reading
Epsilon negative dynamic coded THz metamaterial beamformer for digital information encryption.

Ahamed, E Keshavarz, R Shariati, N

Light propagation facilitates digital information encryption by utilizing Epsilon Negative (ENG) metamaterials as a medium. Achieving the desired encryption hinges on synchronizing two pivotal feat...

Continue Reading
Dual-Band Passive Beam Steering Antenna Technologies for Satellite Communication and Modern Wireless Systems: A Review.

Nabeel, MI Singh, K Afzal, MU Thalakotuna, DN Esselle, KP

Efficient beam steerable high-gain antennas enable high-speed data rates over long-distance networks, including wireless backhaul, satellite communications (SATCOM), and SATCOM On-the-Move. These c...

Continue Reading
Performance of a Novel Electronic Nose for the Detection of Volatile Organic Compounds Relating to Starvation or Human Decomposition Post-Mass Disaster.

Sunnucks, EJ Thurn, B Brown, AO Zhang, W Liu, T Forbes, SL Su, S Ueland, M

There has been a recent increase in the frequency of mass disaster events. Following these events, the rapid location of victims is paramount. Currently, the most reliable search method is scent de...

Continue Reading
COVID-19 impact on wind and solar energy sector and cost of energy prediction based on machine learning.

Ghanbari Motlagh, S Razi Astaraei, F Montazeri, M Bayat, M

This study examines the impact of the COVID-19 pandemic on renewable energy sectors across seven countries through techno-economic analysis and machine learning (ML). In China, the renewable fracti...

Continue Reading
Computational and dark-field ghost imaging with ultraviolet light

Song, J Liu, B Wang, Y Chen, C Shan, X Zhong, X Wu, LA Wang, F

Ultraviolet (UV) imaging enables a diverse array of applications, such as material composition analysis, biological fluorescence imaging, and detecting defects in semiconductor manufacturing. Howev...

Continue Reading
Ante- and post-mortem human volatiles for disaster search and rescue

Thurn, B Deo, A Patel, D Sunnucks, E Forbes, S Stuart, BH Su, S Ueland, M

Ante-mortem metabolic processes are responsible for the release of volatile organic compounds, which form the primary component of human scent and are used by search-and-rescue canines in victim lo...

Continue Reading

School of Electrical and Data Engineering

Browse by

Discover