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Articles 3151 - 3160 of 3160
Full-Text Articles in Engineering
Dosimetric Optimization And Commissioning Of A High Field Inline Mri-Linac, Urszula Jelen, Bin Dong, Jarrad Begg, Natalia Roberts, Brendan Whelan, Paul Keall, Gary P. Liney
Dosimetric Optimization And Commissioning Of A High Field Inline Mri-Linac, Urszula Jelen, Bin Dong, Jarrad Begg, Natalia Roberts, Brendan Whelan, Paul Keall, Gary P. Liney
Faculty of Engineering and Information Sciences - Papers: Part B
© Copyright © 2020 Jelen, Dong, Begg, Roberts, Whelan, Keall and Liney. Purpose: Unique characteristics of MRI-linac systems and mutual interactions between their components pose specific challenges for their commissioning and quality assurance. The Australian MRI-linac is a prototype system which explores the inline orientation, with radiation beam parallel to the main magnetic field. The aim of this work was to commission the radiation-related aspects of this system for its application in clinical treatments. Methods: Physical alignment of the radiation beam to the magnetic field was fine-tuned and magnetic shielding of the radiation head was designed to achieve optimal beam …
Size Distribution Measurement Of Coal Fragments Using Digital Imaging Processing, Xiaohan Yang, Ting X. Ren, Lihai Tan
Size Distribution Measurement Of Coal Fragments Using Digital Imaging Processing, Xiaohan Yang, Ting X. Ren, Lihai Tan
Faculty of Engineering and Information Sciences - Papers: Part B
This paper focuses on the size distribution measurement of coal fragments by digital imaging processing. The fast and precise measurement of coal fragments, which is important to understand the crack propagation and energy dissipation process of coal failure, has not been achieved by previous research. In this paper, an image analysis method using MATLAB is proposed to measure fragment size distribution of coal fragments. The acquisition setup, analysis step and coding process for fragment size distribution measurement by digital imaging processing are introduced in detail. The statistical size distribution of coal fragments measured by image processing is compared with the …
Effects Of Cold Rolling And Annealing On The Ridging Behaviour Of Ferritic Stainless Steel, Xiaoguang Ma, Jingwei Zhao, Wei Du, Zhengyi Jiang
Effects Of Cold Rolling And Annealing On The Ridging Behaviour Of Ferritic Stainless Steel, Xiaoguang Ma, Jingwei Zhao, Wei Du, Zhengyi Jiang
Faculty of Engineering and Information Sciences - Papers: Part B
© 2020, Springer-Verlag London Ltd., part of Springer Nature. A systematic study was carried out to evaluate the effects of cold rolling and annealing processes on the ridging severity of ferritic stainless steel (FSS). Both microstructural refinement and texture optimisation were achieved with an optimised processing schedule to improve the ridging resistance of FSS. Coarse grain bands comprising of primarily {112} oriented grains were found to form inside cold-rolled and annealed FSS sheets. The effects of annealing schedules and the resultant microstructure and texture on the ridging behaviour of FSS are discussed. The results indicate that the reduction in the …
Admissibilisation Of Singular Interval Type-2 Takagi-Sugeno Fuzzy Systems With Time Delay, Zhiguang Feng, Huayang Zhang, Haiping Du, Zhengyi Jiang
Admissibilisation Of Singular Interval Type-2 Takagi-Sugeno Fuzzy Systems With Time Delay, Zhiguang Feng, Huayang Zhang, Haiping Du, Zhengyi Jiang
Faculty of Engineering and Information Sciences - Papers: Part B
© The Institution of Engineering and Technology 2020. This study investigates the admissibility analysis and stabilisation problems for singular interval type-2 Takagi- Sugeno fuzzy systems with time delay. A generalised integral inequality method is used to obtain the delay-dependent condition. The criteria for admissibility analysis and controller synthesis are given in terms of linear matrix inequalities. In order to reduce the conservatism of the system, some free weighting matrices and advanced integral inequalities are introduced. Finally, two illustrative examples are exhibited to demonstrate the effectiveness of the proposed method.
Cartan Subalgebras For Non-Principal Twisted Groupoid C⁎-Algebras, Anna L. Duwenig, E Gillaspy, R Norton, S Reznikoff, S Wright
Cartan Subalgebras For Non-Principal Twisted Groupoid C⁎-Algebras, Anna L. Duwenig, E Gillaspy, R Norton, S Reznikoff, S Wright
Faculty of Engineering and Information Sciences - Papers: Part B
2020 Elsevier Inc. Renault proved in 2008 [22, Theorem 5.2] that if G is a topologically principal groupoid, then C0(G(0)) is a Cartan subalgebra in Cr⁎(G,Σ) for any twist Σ over G. However, there are many groupoids which are not topologically principal, yet their (twisted) C⁎-algebras admit Cartan subalgebras. This paper gives a dynamical description of a class of such Cartan subalgebras, by identifying conditions on a 2-cocycle c on G and a subgroupoid S⊆G under which Cr⁎(S,c) is Cartan in Cr⁎(G,c). When G is a discrete group, we also describe the Weyl groupoid and twist associated to these Cartan …
Period-One Microwave Photonic Sensing By A Laser Diode With Optical Feedback, Bairun Nie, Yuxi Ruan, Yanguang Yu, Qinghua Guo, Jiangtao Xi, Jun Tong
Period-One Microwave Photonic Sensing By A Laser Diode With Optical Feedback, Bairun Nie, Yuxi Ruan, Yanguang Yu, Qinghua Guo, Jiangtao Xi, Jun Tong
Faculty of Engineering and Information Sciences - Papers: Part B
With external optical feedback (EOF), a laser diode (LD) can operate at different dynamic states. In this work, an LD with EOF is set at period-one (P1) oscillation state to generate microwave photonic (MWP) signal for sensing. Firstly, the P1 state boundary of the LD is determined and then the influence of the LD controllable parameters on the boundary is studied by solving the well-known Lang-Kobayashi equations. A set of parameters selection rule for designing an LD based MWP sensing system is obtained. In addition, a measurement algorithm for recovering the displacement from an MWP sensing signal is developed. By …
The Structural, Electronic, And Optical Properties Of Ge/Si Quantum Wells: Lasing At A Wavelength Of 1550 Nm, Hongqiang Li, Jianing Wang, Jinjun Bai, Shanshan Zhang, Sai Zhang, Yaqiang Sun, Qianzhi Dou, Mingjun Ding, Youxi Wang, Dan Qu, Jilin Du, Chunxiao Tang, Enbang Li, Joan Prades
The Structural, Electronic, And Optical Properties Of Ge/Si Quantum Wells: Lasing At A Wavelength Of 1550 Nm, Hongqiang Li, Jianing Wang, Jinjun Bai, Shanshan Zhang, Sai Zhang, Yaqiang Sun, Qianzhi Dou, Mingjun Ding, Youxi Wang, Dan Qu, Jilin Du, Chunxiao Tang, Enbang Li, Joan Prades
Faculty of Engineering and Information Sciences - Papers: Part B
The realization of a fully integrated group IV electrically driven laser at room temperature is an essential issue to be solved. We introduced a novel group IV side-emitting laser at a wavelength of 1550 nm based on a 3-layer Ge/Si quantum well (QW). By designing this scheme, we showed that the structural, electronic, and optical properties are excited for lasing at 1550 nm. The preliminary results show that the device can produce a good light spot shape convenient for direct coupling with the waveguide and single-mode light emission. The laser luminous power can reach up to 2.32 mW at a …
Bayesian Computation With Intractable Likelihoods, Matthew T. Moores, Anthony N. Pettitt, Kerrie Mengersen
Bayesian Computation With Intractable Likelihoods, Matthew T. Moores, Anthony N. Pettitt, Kerrie Mengersen
Faculty of Engineering and Information Sciences - Papers: Part B
This article surveys computational methods for posterior inference with intractable likelihoods, that is where the likelihood function is unavailable in closed form, or where evaluation of the likelihood is infeasible. We review recent developments in pseudo-marginal methods, approximate Bayesian computation (ABC), the exchange algorithm, thermodynamic integration, and composite likelihood, paying particular attention to advancements in scalability for large datasets. We also mention R and MATLAB source code for implementations of these algorithms, where they are available.
Microbial Electrochemical Systems For Hydrogen Peroxide Synthesis: Critical Review Of Process Optimization, Prospective Environmental Applications, And Challenges, Tae Chung, Mohamed Meshref, Faisal I. Hai, Abdullah Al-Mamun, Bipro Dhar
Microbial Electrochemical Systems For Hydrogen Peroxide Synthesis: Critical Review Of Process Optimization, Prospective Environmental Applications, And Challenges, Tae Chung, Mohamed Meshref, Faisal I. Hai, Abdullah Al-Mamun, Bipro Dhar
Faculty of Engineering and Information Sciences - Papers: Part B
© 2020 Elsevier Ltd Hydrogen peroxide (H2O2) is an industrial chemical that has been widely adopted for various industrial applications, including water and wastewater treatment. Currently, the majority of H2O2 is being produced through the anthraquinone oxidation process, which is disadvantageous due to the requirement of toxic raw materials and high energy input. Recently, microbial electrochemical cells (MXCs), such as microbial fuel cells and microbial electrolysis cells, have demonstrated great potential for effective H2O2 production via cathodic oxygen-reduction reaction (ORR). Previous studies have specified key operational parameters for scaling-up of H2O2-producing MXCs, where improvements in production rate, conversion efficiency, product …
Deep Learning Based Hep-2 Image Classification: A Comprehensive Review, Saimunur Rahman, Lei Wang, Changming Sun, Luping Zhou
Deep Learning Based Hep-2 Image Classification: A Comprehensive Review, Saimunur Rahman, Lei Wang, Changming Sun, Luping Zhou
Faculty of Engineering and Information Sciences - Papers: Part B
© 2020 Classification of HEp-2 cell patterns plays a significant role in the indirect immunofluorescence test for identifying autoimmune diseases in the human body. Many automatic HEp-2 cell classification methods have been proposed in recent years, amongst which deep learning based methods have shown impressive performance. This paper provides a comprehensive review of the existing deep learning based HEp-2 cell image classification methods. These methods perform HEp-2 image classification at two levels, namely, cell-level and specimen-level. Both levels are covered in this review. At each level, the methods are organized with a deep network usage based taxonomy. The core idea, …