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Full-Text Articles in Engineering
A Review Of Current Neuromorphic Approaches For Vision, Auditory, And Olfactory Sensors, Anup Vanarse, Adam Osseiran, Alexander Rassau
A Review Of Current Neuromorphic Approaches For Vision, Auditory, And Olfactory Sensors, Anup Vanarse, Adam Osseiran, Alexander Rassau
Research outputs 2014 to 2021
Conventional vision, auditory, and olfactory sensors generate large volumes of redundant data and as a result tend to consume excessive power. To address these shortcomings, neuromorphic sensors have been developed. These sensors mimic the neuro-biological architecture of sensory organs using aVLSI (analog Very Large Scale Integration) and generate asynchronous spiking output that represents sensing information in ways that are similar to neural signals. This allows for much lower power consumption due to an ability to extract useful sensory information from sparse captured data. The foundation for research in neuromorphic sensors was laid more than two decades ago, but recent developments …
Optical Fiber Sensors In Physical Intrusion Detection Systems: A Review, Gary Andrew Allwood, Graham Wild, Steven Hinkley
Optical Fiber Sensors In Physical Intrusion Detection Systems: A Review, Gary Andrew Allwood, Graham Wild, Steven Hinkley
Research outputs 2014 to 2021
Fiber optic sensors have become a mainstream sensing technology within a large array of applications due to their inherent benefits. They are now used significantly in structural health monitoring, and are an essential solution for monitoring harsh environments. Since their first development over 30 years ago, they have also found promise in security applications. This paper reviews all of the optical fiber-based techniques used in physical intrusion detection systems. It details the different approaches used for sensing, interrogation, and networking, by research groups, attempting to secure both commercial and residential premises from physical security breaches. The advantages and the disadvantages …
Developing Equations For Estimating Reference Evapotranspiration In Australia, Matin Ahooghalandari, Mehdi Khiadani, Mina Esmi Jahromi
Developing Equations For Estimating Reference Evapotranspiration In Australia, Matin Ahooghalandari, Mehdi Khiadani, Mina Esmi Jahromi
Research outputs 2014 to 2021
Quantifying reference evapotranspiration (ET0) is essential in water resources management. Although, many methods have been developed with different level of accuracy, in this study, two new equations were developed and optimized for estimating ET0 using Honey-Bee Mating Optimization (HBMO) algorithm. The firs eq. estimates ET0 from extraterrestrial radiation (Ra), relative humidity (RH) and mean daily temperature (Tmean), while the second uses the same parameters except that mean daily temperatures is replaced with maximum daily air temperature (Tmax). Both equations were developed using climatic data from eight weather stations in Western …
Photonic Microstructures For Energy-Generating Clear Glass And Net-Zero Energy Buildings, Mikhail Vasiliev, Ramzy Alghamedi, Mohammad Alam, Kamal Alameh
Photonic Microstructures For Energy-Generating Clear Glass And Net-Zero Energy Buildings, Mikhail Vasiliev, Ramzy Alghamedi, Mohammad Alam, Kamal Alameh
Research outputs 2014 to 2021
Transparent energy-harvesting windows are emerging as practical building-integrated photovoltaics (BIPV), capable of generating electricity while simultaneously reducing heating and cooling demands. By incorporating spectrally-selective diffraction gratings as light deflecting structures of high visible transparency into lamination interlayers and using improved spectrally-selective thin-film coatings, most of the visible solar radiation can be transmitted through the glass windows with minimum attenuation. At the same time, the ultraviolet (UV) and a part of incident solar infrared (IR) radiation energy are converted and/or deflected geometrically towards the panel edge for collection by CuInSe2 solar cells. Experimental results show power conversion efficiencies in excess …
New Cost Model For Feasibility Analysis Of Utilising Special Purpose Machine Tools, Ana Vafadar, Majid Tolouei-Rad, Kevin Haywood
New Cost Model For Feasibility Analysis Of Utilising Special Purpose Machine Tools, Ana Vafadar, Majid Tolouei-Rad, Kevin Haywood
Research outputs 2014 to 2021
Special purpose machine tools (SPMs) have been widely used to perform drilling-related operations in high volume production including within automotive component industries. The first step in designing and manufacturing a SPM is a feasibility analysis. Since SPMs have relatively higher investment cost than other machine tools, this task must be performed before any investment on the preparation of detailed design. The present paper explores an economic feasibility analysis strategy which aims to make logical decision by assessing the strengths and limitations of an SPM in comparison with other machine tools. The mathematical product cost model for SPMs is proposed for …
Influence Of Neural Network Training Parameters On Short-Term Wind Forecasting, Adel Brka, Yasir M. Al-Abdeli, Ganesh Kothapalli
Influence Of Neural Network Training Parameters On Short-Term Wind Forecasting, Adel Brka, Yasir M. Al-Abdeli, Ganesh Kothapalli
Research outputs 2014 to 2021
This paper investigates factors which can affect the accuracy of short-term wind speed prediction when done over long periods spanning different seasons. Two types of neural networks (NNs) are used to forecast power generated via specific horizontal axis wind turbines. Meteorological data used are for a specific Western Australian location. Results reveal that seasonal variations affect the prediction accuracy of the wind resource, but the magnitude of this influence strongly depends on the details of the NN deployed. Factors investigated include the span of the time series needed to initially train the networks, the temporal resolution of these data, the …