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Fazrena Azlee Hamid

Researcher at Universiti Tenaga Nasional

Publications -  53
Citations -  279

Fazrena Azlee Hamid is an academic researcher from Universiti Tenaga Nasional. The author has contributed to research in topics: Threshold voltage & Taguchi methods. The author has an hindex of 8, co-authored 53 publications receiving 229 citations. Previous affiliations of Fazrena Azlee Hamid include National University of Malaysia & University of Southampton.

Papers
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Journal ArticleDOI

Prospective Efficient Ambient Energy Harvesting Sources for IoT-Equipped Sensor Applications

TL;DR: Different types of ambient energy harvesting systems which can power IoT-enabled sensors, as well as wireless sensor networks (WSNs), are reviewed and the challenges which need to be overcome to make IoT- enabled sensors more durable, reliable, energy-efficient, and economical are identified.
Journal ArticleDOI

IoT-Enabled High Efficiency Smart Solar Charge Controller with Maximum Power Point Tracking—Design, Hardware Implementation and Performance Testing

TL;DR: A novel internet of things (IoT)-equipped MPPT solar charge controller (SCC) that utilizes IoT-based sensors to send vital data to the cloud for remote monitoring and controlling purposes is designed and implemented.
Journal Article

Application of Taguchi Method in the Optimization of Process Variation for 32nm CMOS Technology.

TL;DR: In this paper, the effect of four process parameters namely HALO implantation, compensation implantations, SiO2 thickness and silicide annealing time on threshold voltage (VTH) in complementary metal oxide semiconductor (CMOS) technology is investigated.
Proceedings ArticleDOI

Analysis of Programme Outcomes achievement for Electrical Engineering programmes in UNITEN

TL;DR: In this paper, an analysis of PO achievement based on student's achievement in formal assessments for core subjects in BEPE and BEEE programs in UNITEN for four semesters from Semester 1, 2007/2008 to Semester 2, 2008/2009 was presented.
Proceedings ArticleDOI

Behavioral modelling of RF filters in VHDL-AMS for automated architectural and parametric optimization

TL;DR: This contribution presents a methodology, based on VHDL-AMS modelling, for architectural and parametric optimization of high-frequency analogue filters, used in the process of automated synthesis.