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Articles 1 - 14 of 14
Full-Text Articles in Engineering
Numerical Modelling Of Interrogation Systems For Optical Fibre Bragg Grating Sensors, Daniel P. Oswald, Steven J. Richardson, Graham Wild
Numerical Modelling Of Interrogation Systems For Optical Fibre Bragg Grating Sensors, Daniel P. Oswald, Steven J. Richardson, Graham Wild
Research outputs 2011
There are a number of interrogation methods that can be used in optical Fibre Bragg Grating (FBG) sensing system. For very high frequency signals interrogating the sensor signal from an FBG is limited to two intensiometric methods, edge filter detection and power detection. In edge filter detection, a broadband light source illuminates an FBG, the reflected spectrum is then passed through a spectral filter. In power detection, a narrowband light source with a wavelength corresponding to the 3dB point of the FBG is filtered by the FBG itself. Both methods convert the spectral shift of the FBG into intensity signals. …
Nano-Engineered High-Performance Magneto-Optic Garnet Materials, Mohammad Nur-E-Alam, Mikhail Vasiliev, Viacheslav Kotov, Kamal Alameh
Nano-Engineered High-Performance Magneto-Optic Garnet Materials, Mohammad Nur-E-Alam, Mikhail Vasiliev, Viacheslav Kotov, Kamal Alameh
ECU Presentations
No abstract provided.
A 1x4 Adaptive Optical Splitter Based On Opto-Vlsi Processor, Haithem Mustafa, Feng Xiao, Kamal Alameh
A 1x4 Adaptive Optical Splitter Based On Opto-Vlsi Processor, Haithem Mustafa, Feng Xiao, Kamal Alameh
Research outputs 2011
We propose and experimentally demonstrate a novel high resolution 1×4 adaptive optical power splitter based on the use of an Opto-VLSI processor and a 4-f imaging system with an optimized optical beam waist profile. By uploading optimized multicasting phase holograms onto the software-driven Opto-VLSI processor, an input optical signal is dynamically split into different output fiber ports with user-defined splitting ratios. Experimental results showing dynamic optical splitting over a wavelength range exceeding 50 nm are presented.
Garnet Multilayer Thin Film Structure With Magnetostatically-Altered And Improved Magnetic Properties Prepared By Rf Magnetron Sputtering, Mohammad Nur-E-Alam, Mikhail Vasiliev, Viacheslav Kotov, Kamal Alameh
Garnet Multilayer Thin Film Structure With Magnetostatically-Altered And Improved Magnetic Properties Prepared By Rf Magnetron Sputtering, Mohammad Nur-E-Alam, Mikhail Vasiliev, Viacheslav Kotov, Kamal Alameh
Research outputs 2011
We prepare an all-garnet multilayer film structure by sandwiching a magneto-soft garnet material in between two magneto-hard garnet materials with high bismuth substitution levels using RF magnetron sputtering technique and investigate the microstructure and the effects of magnetostatic inter-layer coupling on magnetic properties. Both types of the Bi-substituted magneto-optic garnet materials used possess excellent optical, magnetic and magneto-optical properties suitable for the application in different new and emerging technologies in optics and photonics. Garnet layers of composition type Bi2Dy1Fe4Ga1O12 have strong perpendicular magnetic anisotropy and Bi1.8Lu1.2Fe3.6Al1.4O12 magneto-soft layer features magnetization behavior similar to that of in-plane magnetized films. The all-garnet …
Optical Fibre Communications And Sensing System Experiments For Undergraduate Photonics Laboratories, Graham Wild, Geoffrey Swan
Optical Fibre Communications And Sensing System Experiments For Undergraduate Photonics Laboratories, Graham Wild, Geoffrey Swan
Research outputs 2011
Experiments in photonics tend to be reserved for postgraduate laboratories, where suitable equipment and resources are available. Simple optical fibre experiments may be included in some undergraduate programs, possibly utilising polymer optical fibres with LEDs and phototransistors, or with the use of bulk optical components and glass optical fibre elements. However, real optical fibre communication systems and optical fibre sensing systems utilise more complex devices, such as optical fibre Bragg gratings. With the availability of optical components in the 850nm wavelength range, a variety of practical systems can be realised using industry standard components. We show how to mitigate a …
Adaptive Noise Canceller For Magnetocardiography, Valentina Tiporlini, Ngiah Nguyen, Kamal Alameh
Adaptive Noise Canceller For Magnetocardiography, Valentina Tiporlini, Ngiah Nguyen, Kamal Alameh
Research outputs 2011
This paper discusses the use of adaptive noise cancellation in magnetocardiography system within unshielded environment using three algorithms: Least-Mean Squared (LMS) algorithm; normalized LMS (nLMS) algorithm and Genetic Algorithms (GA). Simulation results show that for low signal-to-noise ratio (SNR) values, the GA algorithm outperforms the other algorithms, displaying an improvement in SNR of 51.155 dB and completely suppressing the noise sources at 60 Hz and at low frequencies. However, the convergence time of the GA algorithm is longer due to the high computational complexity.
Photonic Microwave Filter Employing An Opto-Vlsi-Based Adaptive Optical Combiner, Haithem Mustafa, Feng Xiao, Kamal Alameh
Photonic Microwave Filter Employing An Opto-Vlsi-Based Adaptive Optical Combiner, Haithem Mustafa, Feng Xiao, Kamal Alameh
Research outputs 2011
A reconfigurable photonic microwave filter structure employing an Opto-VLSI based adaptive optical combiner is proposed and experimentally demonstrated. The Opto-VLSI based adaptive optical combiner is used to combine RF modulated optical signals with a user-defined weight profile to realize a reconfigurable RF photonic filter response. Theoretical simulations are in excellent agreement with the experimental results that demonstrate the concept of the photonic microwave filter structure.
Upgrade A Medium Size Enterprise Power System With Wind And Solar Sources: Design, Financial And Environmental Perspectives, Thair Mahmoud, Daryoush Habibi, Octavian Bass
Upgrade A Medium Size Enterprise Power System With Wind And Solar Sources: Design, Financial And Environmental Perspectives, Thair Mahmoud, Daryoush Habibi, Octavian Bass
Research outputs 2011
Efficient generation and distribution are crucial for economic power production. In this paper we discuss the planning and design of upgrading a medium size enterprise power system by installing Distributed Energy Resources (DERs), with particular emphasis on economic viability and environmental benefits. The planning for this project considers both conventional grid and SmartGrid connections. Project planning, installation challenges and governmental support of renewable energy projects in Australia are discussed. It is found that upgrading a medium size enterprise power system with DERs can yield reasonable levels of energy cost savings and greenhouse gas mitigation with both conventional grid and SmartGrid …
Tuning Fuzzy Systems To Achieve Economic Dispatch For Microgrids, Thair Mahmoud, Daryoush Habibi, Octavian Bass, Stefan W. Lachowicz
Tuning Fuzzy Systems To Achieve Economic Dispatch For Microgrids, Thair Mahmoud, Daryoush Habibi, Octavian Bass, Stefan W. Lachowicz
Research outputs 2011
In this paper, a Tuning Fuzzy System (TFS) is used to improve the energy demand forecasting for a medium-size microgrid. As a case study, the energy demand of the Joondalup Campus of Edith Cowan University (ECU) in Western Australia is modelled. The developed model is required to perform economic dispatch for the ECU microgrid in islanding mode. To achieve an active economic dispatch demand prediction model, actual load readings are considered. A fuzzy tuning mechanism is added to the prediction model to enhance the prediction accuracy based on actual load changes. The demand prediction is modelled by a Fuzzy Subtractive …
Load Demand Forecasting: Model Inputs Selection, Thair Mahmoud, Daryoush Habibi, Octavian Bass, Stefan W. Lachowicz
Load Demand Forecasting: Model Inputs Selection, Thair Mahmoud, Daryoush Habibi, Octavian Bass, Stefan W. Lachowicz
Research outputs 2011
Developing a good demand forecasting model is the art of identifying the best modelling parameters. Improving the forecasting performance needs to study the input/output parameters of the system to identify the effective forecasting variables. In this paper, the energy demand of Joondalup Campus of Edith Cowan University (ECU) in Western Australia has been selected as a case study for the design and verification of a suitable forecasting model. Fuzzy Subtractive Clustering Method (FSCM) based Adaptive Neuro Fuzzy Inference System (ANFIS) is used as a proposed modelling network in this paper. Basically, three-input forecasting models have been developed based on 12-month …
Nano-Patterned High-Responsivity Gaas Metal-Semiconductor-Metal Photodetector, Ayman Karar, Chee Leong Tan, Kamal Alameh, Yong Tak Lee
Nano-Patterned High-Responsivity Gaas Metal-Semiconductor-Metal Photodetector, Ayman Karar, Chee Leong Tan, Kamal Alameh, Yong Tak Lee
Research outputs 2011
In this paper, we use the finite difference time-domain (FDTD) method to optimize the light absorption of an ultrafast nano-grating plasmonic GaAs metal-semiconductor-metal photodetector (MSM-PD) employing double metal nano-gratings. The geometry of the MSM-PD is theoretically investigated, leading to improved light absorption near the design wavelength of GaAs due to plasmon-assisted electric and magnetic field concentration through a subwavelength aperture. Simulation results show up to 8- and 21-times light absorption enhancement for the single and double nano-grating structure, respectively, in comparison to conventional MSM-PDs. Experimentally, more than 4 times enhancement in photocurrent is demonstrated for a single top nano-grating MSM-PD …
Design Of Laser Multi-Beam Generator For Plant Discrimination, Sreten Askraba, Arie Paap, Kamal Alameh, John Rowe
Design Of Laser Multi-Beam Generator For Plant Discrimination, Sreten Askraba, Arie Paap, Kamal Alameh, John Rowe
Research outputs 2011
Optimisation of the optical signal from the laser multi-spot beam generator employed in a photonic based real-time plant discrimination sensor for use in selective herbicide spraying systems is presented. The plant detection sensor uses a three-wavelength laser diode module that sequentially emits identically-polarized laser light beams through a common aperture, along one optical path. Each laser beam enters a multi-spot beam generator which produces 15 parallel laser beams over a 240mm span. The intensity of the reflected light from each spot is detected by a high-speed line scan image sensor. Plant discrimination is based on calculating the slope of the …
An Optimal Current Control Strategy For A Three-Phase Grid-Connected Photovoltaic System Using Particle Swarm Optimization, Waleed Al-Saedi, Stefan W. Lachowicz, Daryoush Habibi
An Optimal Current Control Strategy For A Three-Phase Grid-Connected Photovoltaic System Using Particle Swarm Optimization, Waleed Al-Saedi, Stefan W. Lachowicz, Daryoush Habibi
Research outputs 2011
A robust current control strategy for PV (photovoltaic) grid-connected systems is required for reliable use of solar energy as an abundant and clean renewable energy. This paper presents real time optimization parameters of the current control strategy for a 3-phase photovoltaic grid-connected Voltage Source Inverter (VSI) system. The proposed controller scheme is implemented based on a synchronous reference frame; the Phase-Locked Loop (PLL) is used as grid phase detector. Particle Swarm Optimization (PSO) algorithm is an intelligent searching algorithm that is used to implement the real time self-tuning method for the current control parameters. Two conventional PI controllers are used …
Power Quality Improvement In Autonomous Microgrid Operation Using Particle Swarm Optimization, Waleed Al-Saedi, Stefan W. Lachowicz, Daryoush Habibi, Octavian Bass
Power Quality Improvement In Autonomous Microgrid Operation Using Particle Swarm Optimization, Waleed Al-Saedi, Stefan W. Lachowicz, Daryoush Habibi, Octavian Bass
Research outputs 2011
This paper presents an optimal power control strategy for an autonomous microgrid operation based on a real-time self-tuning method. The purpose of this work is to improve the quality of power supply where Distributed Generation (DG) units are connected to the grid. Dynamic response and harmonics distortion are the two main performance parameters which are considered in this work, particularly when the microgrid is islanded. The controller scheme is composed of an inner current control loop and an outer power control loop based on a synchronous reference frame and the conventional PI regulators. Particle Swarm Optimization (PSO) is an intelligent …