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Full-Text Articles in Engineering

Class Distribution-Aware Adaptive Margins And Cluster Embedding For Classification Of Fruit And Vegetables At Supermarket Self-Checkouts, Khurram Hameed, Douglas Chai, Alexander Rassau Jan 2021

Class Distribution-Aware Adaptive Margins And Cluster Embedding For Classification Of Fruit And Vegetables At Supermarket Self-Checkouts, Khurram Hameed, Douglas Chai, Alexander Rassau

Research outputs 2014 to 2021

The complex task of vision based fruit and vegetables classification at a supermarket self-checkout poses significant challenges. These challenges include the highly variable physical features of fruit and vegetables i.e. colour, texture shape and size which are dependent upon ripeness and storage conditions in a supermarket as well as general product variation. Supermarket environments are also significantly variable with respect to lighting conditions. Attempting to build an exhaustive dataset to capture all these variations, for example a dataset of a fruit consisting of all possible colour variations, is nearly impossible. Moreover, some fruit and vegetable classes have significant similar physical …


Frequency Estimation From Compressed Measurements Of A Sinusoid In Moving‐Average Colored Noise, Nuha A. S. Alwan, Zahir M. Hussain Jan 2021

Frequency Estimation From Compressed Measurements Of A Sinusoid In Moving‐Average Colored Noise, Nuha A. S. Alwan, Zahir M. Hussain

Research outputs 2014 to 2021

Frequency estimation of a single sinusoid in colored noise has received a considerable amount of attention in the research community. Taking into account the recent emergence and advances in compressive covariance sensing (CCS), the aim of this work is to combine the two disci-plines by studying the effects of compressed measurements of a single sinusoid in moving‐average colored noise on its frequency estimation accuracy. CCS techniques can recover the second‐order statistics of the original uncompressed signal from the compressed measurements, thereby enabling correlation‐based frequency estimation of single tones in colored noise using higher order lags. Ac-ceptable accuracy is achieved for …


Kinetic Study Of Product Distribution Using Various Data-Driven And Statistical Models For Fischer-Tropsch Synthesis, Yixiao Wang, Jing Hu, Xiyue Zhang, Abubakar Yusuf, Binbin Qi, Huan Jin, Yiyang Liu, Jun He, Yunshan Wang, Gang Yang, Yong Sun Jan 2021

Kinetic Study Of Product Distribution Using Various Data-Driven And Statistical Models For Fischer-Tropsch Synthesis, Yixiao Wang, Jing Hu, Xiyue Zhang, Abubakar Yusuf, Binbin Qi, Huan Jin, Yiyang Liu, Jun He, Yunshan Wang, Gang Yang, Yong Sun

Research outputs 2014 to 2021

Three modeling techniques, namely, a radial basis function neural network (RBFNN), a comprehensive kinetic with genetic algorithm (CKGA), and a response surface methodology (RSM), were used to study the kinetics of Fischer-Tropsch (FT) synthesis. Using a 29 × 37 (4 independent process parameters as inputs and corresponding 36 responses as outputs) matrix with total 1073 data sets for data training through RBFNN, the established model is capable of predicting hydrocarbon product distribution i.e., the paraffin formation rate (C2-C15) and the olefin to paraffin ratio (OPR) within acceptable uncertainties. With additional validation data sets (15 × 36 matrix with total 540 …


The Need For Aerospace Structural Health Monitoring: A Review Of Aircraft Fatigue Accidents, Luke Pollock, Ayah Khalid Abdelwahab, John Murray, Graham Wild Jan 2021

The Need For Aerospace Structural Health Monitoring: A Review Of Aircraft Fatigue Accidents, Luke Pollock, Ayah Khalid Abdelwahab, John Murray, Graham Wild

Research outputs 2014 to 2021

Aircraft accidents involving catastrophic fatigue failure have the potential for significant loss of life. The aim of this research was to investigate trends in aircraft fatigue failure accidents to inform aerospace Structural Health Monitoring (SHM) system Research and Development (R&D). The research involved collecting 139 aircraft fatigue failure accident reports from the Aviation Safety Network database, which were coded using a directed content analysis. The trends and features of the categorical data were then explored using an ex-post facto study. The results showed that fatigue failure accidents have increased at a rate of (3.4 ± 0.6)×10-2 per year since the …


Simultaneous Machining Of Aerospace Structural Materials Using Poly-Drills, Muhammad Aamir Jan 2021

Simultaneous Machining Of Aerospace Structural Materials Using Poly-Drills, Muhammad Aamir

Theses: Doctorates and Masters

Despite the growth of composites and other lightweight materials, aluminium alloys remain an attractive choice for the aerospace industry due to their distinct manufacturing processes, good resistance to fatigue crack growth and superior damage tolerance. In the aerospace industry, the drilling process is widely used among all the machining processes as millions of holes are required to produce riveted and bolted joints in the assembly operation of the aircraft's structures. The major challenges which arise from the drilling of these alloys are characterized by the low hole quality, which might initiate cracks within the airframe structure and reducing their reliability. …


Power Network And Smart Grids Analysis From A Graph Theoretic Perspective, Hossein Parast Vand Jan 2021

Power Network And Smart Grids Analysis From A Graph Theoretic Perspective, Hossein Parast Vand

Theses: Doctorates and Masters

The growing size and complexity of power systems has given raise to the use of complex network theory in their modelling, analysis, and synthesis. Though most of the previous studies in this area have focused on distributed control through well established protocols like synchronization and consensus, recently, a few fundamental concepts from graph theory have also been applied, for example in symmetry-based cluster synchronization. Among the existing notions of graph theory, graph symmetry is the focus of this proposal. However, there are other development around some concepts from complex network theory such as graph clustering in the study.

In spite …


Experimental And Cfd–Pbm Investigation Of An Agitated Bioreactor Using A Dual Helical Ribbon Impeller, Maryamsadat Amiraftabi Jan 2021

Experimental And Cfd–Pbm Investigation Of An Agitated Bioreactor Using A Dual Helical Ribbon Impeller, Maryamsadat Amiraftabi

Theses: Doctorates and Masters

Throughout past decades, the management of solid waste by producing methane gas, as a renewable source of energy, has featured as an important research objective. Anaerobic digesters are widely used in countries with environmental initiatives and green approaches, where biogas produced from a bioreactor is a carbon neutral source of energy. Biogas contains 70% methane, 30% CO2 and some other gases. The by-product of an anaerobic digester is solid sludge that can be used as either fertilizer or compost.

Anaerobic digestion biogas plants can benefit industries by adding value to solid organic waste, reducing fossil fuel usage, eliminating solid waste …


Application Of The Vortex Fluid Device (Vfd) In Polysulfone Synthesis And Ultra-Filtration Membrane Fabrication For Water Treatment Purposes, Aghil Igder Jan 2021

Application Of The Vortex Fluid Device (Vfd) In Polysulfone Synthesis And Ultra-Filtration Membrane Fabrication For Water Treatment Purposes, Aghil Igder

Theses: Doctorates and Masters

Extensive studies have been performed to improve key properties of filtration membranes via controlling the fabrication process conditions as well as physical and/or chemical modification of the polymers used in membrane fabrication. The Vortex Fluid Device (VFD) is a newly invented platform which has found many applications in materials science and clean technology. The unique features of the VFD originate from a combination of different effects (e.g., micro-mixing, viscous drag, microfluidic flow, enhanced mass transfer) all resulting in faster, greener, and more efficient and better controlled chemical reactions. The main aims of this project are: (i) to investigate the utility …