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Articles 181 - 210 of 8088

Full-Text Articles in Engineering

Social Vulnerability To Natural Hazards In Wollongong: Comparing Strength-Based And Traditional Methods, Robert Ighodaro Ogie, Biswajeet Pradhan Jan 2020

Social Vulnerability To Natural Hazards In Wollongong: Comparing Strength-Based And Traditional Methods, Robert Ighodaro Ogie, Biswajeet Pradhan

Faculty of Engineering and Information Sciences - Papers: Part B

Social vulnerability is a widely recognised way of assessing the sensitivity of a population to natural hazards and its ability to respond to and recover from them. In the traditional approach to computing social vulnerability, the emphasis is mainly on the weaknesses only (e.g. old age, low income, language barriers). This study presents a strength-based social vulnerability index that identifies the strengths that communities have that help minimise disaster risk exposure. The strength-based social vulnerability index method is compared with the traditional approach using various statistical procedures like the one-sample T-test and the Wilcoxon signed rank test. This is performed …


Attention-Based Residual Network With Scattering Transform Features For Hyperspectral Unmixing With Limited Training Samples, Yiliang Zeng, Christian H. Ritz, Jiahong Zhao, Jinhui Lan Jan 2020

Attention-Based Residual Network With Scattering Transform Features For Hyperspectral Unmixing With Limited Training Samples, Yiliang Zeng, Christian H. Ritz, Jiahong Zhao, Jinhui Lan

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 by the authors. This paper proposes a framework for unmixing of hyperspectral data that is based on utilizing the scattering transform to extract deep features that are then used within a neural network. Previous research has shown that using the scattering transform combined with a traditional K-nearest neighbors classifier (STFHU) is able to achieve more accurate unmixing results compared to a convolutional neural network (CNN) applied directly to the hyperspectral images. This paper further explores hyperspectral unmixing in limited training data scenarios, which are likely to occur in practical applications where the access to large amounts of labeled …


Sparsity-Based Robust Bistatic Mimo Radar Imaging In The Presence Of Array Errors, Wenyu Gao, Jun Li, Daming Zhang, Qinghua Guo Jan 2020

Sparsity-Based Robust Bistatic Mimo Radar Imaging In The Presence Of Array Errors, Wenyu Gao, Jun Li, Daming Zhang, Qinghua Guo

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 Wenyu Gao et al. A sparse recovery method for robust transmit-receive angle imaging in a bistatic MIMO radar is proposed to deal with the effect of array gain-phase errors. The impact of multiplicative array gain-phase errors is changed to be additive through model reformulation, and transmit-receive angle imaging is formulated to a sparse total least square signal problem. Then, an iterative algorithm is proposed to solve the optimization problem. Compared with existing methods, the proposed method can achieve a significant performance gain in the case that the number of snapshots is small. Simulation results verify the effectiveness of …


Wet-Spun Trojan Horse Cell Constructs For Engineering Muscle, Anita Quigley, Rhys Cornock, Tharun Mysore, Javad Foroughi, Magdalena Kita, Joselito Razal, Jeremy Micah Crook, Simon Moulton, Gordon G. Wallace, Robert Kapsa Jan 2020

Wet-Spun Trojan Horse Cell Constructs For Engineering Muscle, Anita Quigley, Rhys Cornock, Tharun Mysore, Javad Foroughi, Magdalena Kita, Joselito Razal, Jeremy Micah Crook, Simon Moulton, Gordon G. Wallace, Robert Kapsa

Faculty of Engineering and Information Sciences - Papers: Part B

© Copyright © 2020 Quigley, Cornock, Mysore, Foroughi, Kita, Razal, Crook, Moulton, Wallace and Kapsa. Engineering of 3D regenerative skeletal muscle tissue constructs (skMTCs) using hydrogels containing muscle precursor cells (MPCs) is of potential benefit for repairing Volumetric Muscle Loss (VML) arising from trauma (e.g., road/industrial accident, war injury) or for restoration of functional muscle mass in disease (e.g., Muscular Dystrophy, muscle atrophy). Additive Biofabrication (AdBiofab) technologies make possible fabrication of 3D regenerative skMTCs that can be tailored to specific delivery requirements of VML or functional muscle restoration. Whilst 3D printing is useful for printing constructs of many tissue types, …


Dtn And Non-Dtn Routing Protocols For Inter-Cubesat Communications: A Comprehensive Survey, Mohamed Atef Madni, Saeid Iranmanesh, Raad Raad Jan 2020

Dtn And Non-Dtn Routing Protocols For Inter-Cubesat Communications: A Comprehensive Survey, Mohamed Atef Madni, Saeid Iranmanesh, Raad Raad

Faculty of Engineering and Information Sciences - Papers: Part B

CubeSats, which are limited by size and mass, have limited functionality. These miniaturised satellites suffer from a low power budget, short radio range, low transmission speeds, and limited data storage capacity. Regardless of these limitations, CubeSats have been deployed to carry out many research missions, such as gravity mapping and the tracking of forest fires. One method of increasing their functionality and reducing their limitations is to form CubeSat networks, or swarms, where many CubeSats work together to carry out a mission. Nevertheless, the network might have intermittent connectivity and, accordingly, data communication becomes challenging in such a disjointed network …


A Judicious Decision-Making Approach For Power Dispatch In Smart Grid Using A Multiobjective Evolutionary Algorithm Based On Decomposition, Chixin Xiao, Danny Sutanto, Kashem M. Muttaqi, Minjie Zhang Jan 2020

A Judicious Decision-Making Approach For Power Dispatch In Smart Grid Using A Multiobjective Evolutionary Algorithm Based On Decomposition, Chixin Xiao, Danny Sutanto, Kashem M. Muttaqi, Minjie Zhang

Faculty of Engineering and Information Sciences - Papers: Part B

Multiobjective evolutionary algorithm based on decomposition (MOEA/D) is an efficient mathematical strategy for solving multiobjective optimization problems. However, the MOEA/D algorithm has not yet been widely used on the multiobjective optimal power flow (MOPF) problems, which consider several conflicting objectives with varying tradeoff levels. This article proposes a novel differential evolution (DE) strategy based on the MOEA/D framework to quickly determine a set of optimal solutions of MOPFs, in the objective space formed from the different objectives, such as the most optimal economic dispatch, the least environmental emission objectives, and the minimum transmission losses, while considering the power system constraints. …


A Magnetic-Linked Multilevel Active Neutral Point Clamped Converter With An Advanced Switching Technique For Grid Integration Of Solar Photovoltaic Systems, A M. Mahfuz-Ur-Rahman, Md Rabiul Islam, Kashem M. Muttaqi, Danny Sutanto Jan 2020

A Magnetic-Linked Multilevel Active Neutral Point Clamped Converter With An Advanced Switching Technique For Grid Integration Of Solar Photovoltaic Systems, A M. Mahfuz-Ur-Rahman, Md Rabiul Islam, Kashem M. Muttaqi, Danny Sutanto

Faculty of Engineering and Information Sciences - Papers: Part B

© 1972-2012 IEEE. Nowadays, the grid-connected solar photovoltaic (PV) system has been drawing significant attention due to the rapid development and the decreasing cost of solar panels. The efficiency and reliability of a grid-connected PV system mainly depend on the power conversion system and the control strategy. This article presents a new magnetic-linked 7-level active neutral point clamped (ANPC) converter, which requires less number of flying capacitors and also reduces the control complexity of the grid-connected PV system. The proposed converter topology utilizes the input dc bus voltage better than the traditional ANPC multilevel converter and also provides galvanic isolation …


On The Energy Efficiency Of Massive Mimo Systems With Low-Resolution Adcs And Lattice Reduction Aided Detectors, Zhitao Xiao, Jincan Zhao, Tianle Liu, Lei Geng, Fang Zhang, Jun Tong Jan 2020

On The Energy Efficiency Of Massive Mimo Systems With Low-Resolution Adcs And Lattice Reduction Aided Detectors, Zhitao Xiao, Jincan Zhao, Tianle Liu, Lei Geng, Fang Zhang, Jun Tong

Faculty of Engineering and Information Sciences - Papers: Part B

As an effective technology for boosting the performance of wireless communications, massive multiple-input multiple-output (MIMO) systems based on symmetric antenna arrays have been extensively studied. Using low-resolution analog-to-digital converters (ADCs) at the receiver can greatly reduce hardware costs and circuit complexity to further improve the energy efficiency (EE) of the system. There are significant research on the design of MIMO detectors but there is limited study on their performance in terms of EE. This paper studies the effect of signal detection on the EE in practical systems, and proposes to apply several signal detectors based on lattice reduction successive interference …


An Integrated Energy Management Approach For The Economic Operation Of Industrial Microgrids Under Uncertainty Of Renewable Energy, Ghulam Mohy-Ud-Din, Dao Hoang Vu, Kashem M. Muttaqi, Danny Sutanto Jan 2020

An Integrated Energy Management Approach For The Economic Operation Of Industrial Microgrids Under Uncertainty Of Renewable Energy, Ghulam Mohy-Ud-Din, Dao Hoang Vu, Kashem M. Muttaqi, Danny Sutanto

Faculty of Engineering and Information Sciences - Papers: Part B

© 1972-2012 IEEE. Many modern industries are equipped with onsite renewable generation and are normally connected to the grid. A battery energy storage system (BESS) can complement the intermittency of the available onsite renewable generation. The combination of the BESS and the renewable generation can operate as a microgrid. If the microgrid is properly sized and managed, it is possible to reduce the electricity bill to have a huge saving in the electricity cost. This article proposes an energy management system for such an industrial microgrids. The decisions to charge and discharge the BESS in the proposed energy management are …


Upright Radiation Therapy—A Historical Reflection And Opportunities For Future Applications, Sulman Rahim, James Korte, Nicholas G. Hardcastle, Sarah Hegarty, Tomas Kron, Sarah Everitt Jan 2020

Upright Radiation Therapy—A Historical Reflection And Opportunities For Future Applications, Sulman Rahim, James Korte, Nicholas G. Hardcastle, Sarah Hegarty, Tomas Kron, Sarah Everitt

Faculty of Engineering and Information Sciences - Papers: Part B

Since the early days of megavoltage Radiation Therapy (RT), the potential of delivering treatment to a sub group of patients in an upright position has been recognized. Compared to lying horizontally, treating patients in an upright position offers potential benefits in terms of patient comfort especially for patients experiencing dyspnoea and saliva accumulation when lying down. Dosimetric benefits can also be gained from changes in the volume and location of lungs and heart in an upright position, which are potentially advantageous for clinical situations including Hodgkin's disease, lung and breast malignancies. Since the 1950's, upright stabilization mechanisms have ranged from …


A Decentralized Latency-Aware Task Allocation And Group Formation Approach With Fault Tolerance For Iot Applications, Muhammad Mudassar, Yanlong Zhai, Lejian Liao, Jun Shen Jan 2020

A Decentralized Latency-Aware Task Allocation And Group Formation Approach With Fault Tolerance For Iot Applications, Muhammad Mudassar, Yanlong Zhai, Lejian Liao, Jun Shen

Faculty of Engineering and Information Sciences - Papers: Part B

Development of internet of things (IoT) and smart devices eased life by offering numerous applications targeting to provide real-time low latency services, but they also brought challenges in handling huge data generated from the powerful computations, to get a job done. Decentralized edge computing could help to achieve latency requirements of the applications by executing them closer to the user at edge of network, but most of the current studies actually deployed centralized approaches for cluster computing at edge, which put extra overhead of cluster formation and management. In this article, we propose to group heterogeneous edge nodes on task …


Barriers And Facilitators That Influence Telemedicine-Based, Real-Time, Online Consultation At Patients' Homes: Systematic Literature Review, Hassan Almathami, Khin Than Win, Elena Vlahu-Gjorgievska Jan 2020

Barriers And Facilitators That Influence Telemedicine-Based, Real-Time, Online Consultation At Patients' Homes: Systematic Literature Review, Hassan Almathami, Khin Than Win, Elena Vlahu-Gjorgievska

Faculty of Engineering and Information Sciences - Papers: Part B

©Hassan Khader Y Almathami, Khin Than Win, Elena Vlahu-Gjorgievska. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 20.02.2020. BACKGROUND: Health care providers are adopting information and communication technologies (ICTs) to enhance their services. Telemedicine is one of the services that rely heavily on ICTs to enable remote patients to communicate with health care professionals; in this case, the patient communicates with the health care professional for a follow-up or for a consultation about his or her health condition. This communication process is referred to as an e-consultation. In this paper, telemedicine services refer to health care services that …


Attribute-Based Equality Test Over Encrypted Data Without Random Oracles, Yuanhao Wang, Yuzhao Cui, Qiong Huang, Hongbo Li, Jianye Huang, Guomin Yang Jan 2020

Attribute-Based Equality Test Over Encrypted Data Without Random Oracles, Yuanhao Wang, Yuzhao Cui, Qiong Huang, Hongbo Li, Jianye Huang, Guomin Yang

Faculty of Engineering and Information Sciences - Papers: Part B

© 2013 IEEE. Sensitive data would be encrypted before uploading to the cloud due to the privacy issue. However, how to compare the encrypted data efficiently becomes a problem. Public Key Encryption with Equality Test (PKEET) provides an efficient way to check whether two ciphertexts (of possibly different users) contain the same message without decryption. As an enhanced variant, Attribute-based Encryption with Equality Test (ABEET) provides a flexible mechanism of authorization on the equality test. Most of the existing ABEET schemes are only proved to be secure in the random oracle model. Their security, however, would not be guaranteed if …


The Contribution Of Electronic Health Records To Risk Management Through Accreditation Of Residential Aged Care Homes In Australia, Ping Yu, Tao Jiang, David M. Hailey, Jun Ma, Siyu Qian Jan 2020

The Contribution Of Electronic Health Records To Risk Management Through Accreditation Of Residential Aged Care Homes In Australia, Ping Yu, Tao Jiang, David M. Hailey, Jun Ma, Siyu Qian

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 The Author(s). Background: The Australian government has implemented a compulsory aged care accreditation system to guide and monitor the risk management approach in registered residential aged care (RAC) homes. This research assessed the contribution of electronic health records (EHR) to risk management in RAC homes in relation to the extent that aged care accreditation fulfils its role. Methods: A convenience sample of 5560 aged care accreditation reports published from 2011 to 2018 was manually downloaded from the Accreditation Agency web site. A mixed-method approach of text data mining and manual content analysis was used to identify any significant …


Numerical Modelling Of Track Behavior Capturing Particle Breakage Under Dynamic Loading, Ngoc Trung Ngo, Buddhima Indraratna Jan 2020

Numerical Modelling Of Track Behavior Capturing Particle Breakage Under Dynamic Loading, Ngoc Trung Ngo, Buddhima Indraratna

Faculty of Engineering and Information Sciences - Papers: Part B

No abstract provided.


Advancement Of Rail Ballast Testing Methodologies And Design Implications, Buddhima Indraratna, Ngoc Trung Ngo, Cholachat Rujikiatkamjorn, Fernanda Ferreira Jan 2020

Advancement Of Rail Ballast Testing Methodologies And Design Implications, Buddhima Indraratna, Ngoc Trung Ngo, Cholachat Rujikiatkamjorn, Fernanda Ferreira

Faculty of Engineering and Information Sciences - Papers: Part B

Given the limited capacity of available railway tracks in Australia to sustain increasingly faster and heavier trains, the development of innovative and sustainable ballasted tracks is essential for Australian transport infrastructure. Upon repeated train loading, ballast aggregates become degraded and fouled owing to the intrusion of external fines either from the subbase or surface, which decreases track drainage potentially leading to track instability. This paper reviews some advancements in testing methodologies and design implications of ballasted tracks stabilized with artificial inclusions, including geocomposites, energy absorbing rubber mats and end-of-life tires. Measured test data shows that the use of these waste …


Effect Of Rock Brittleness On Propagation Of Hydraulic Fractures In Shale Reservoirs With Bedding-Planes, Zhaohui Chong, Qiangling Yao, Xuehua Li, Liu Zhu, Chuanjin Tang Jan 2020

Effect Of Rock Brittleness On Propagation Of Hydraulic Fractures In Shale Reservoirs With Bedding-Planes, Zhaohui Chong, Qiangling Yao, Xuehua Li, Liu Zhu, Chuanjin Tang

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 The Authors. Energy Science & Engineering published by the Society of Chemical Industry and John Wiley & Sons Ltd. Hydraulic fracturing forms complex hydraulic fracture networks (HFNs) in shale reservoirs and significantly improves the permeability of shale reservoirs. Although rock brittleness is a major factor in determining whether a shale reservoir can be fractured, the relationship between HFNs and rock brittleness remains unclear. To investigate this relationship in a shale reservoir with bedding planes, this paper presents a series of hydraulic fracturing simulations based on a hydromechanically coupled discrete element model. In addition, we analyzed the sensitivity of …


Biogeochemical Clogging Of Permeable Reactive Barriers In Acid-Sulfate Soil Floodplain, Buddhima Indraratna, Subhani Medawela, R Rowe, Ngamta Thamwattana, Ana Heitor Jan 2020

Biogeochemical Clogging Of Permeable Reactive Barriers In Acid-Sulfate Soil Floodplain, Buddhima Indraratna, Subhani Medawela, R Rowe, Ngamta Thamwattana, Ana Heitor

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 American Society of Civil Engineers. Column experiments that investigate the use of calcitic limestone as a potential material for permeable reactive barriers (PRBs), as well as its clogging behavior, are conducted under conditions that involve continuous acidic flow containing Al, Fe, and acidophilic bacteria. Results show that nonhomogenous biogeochemical clogging occurred toward the outlet, resulting in a 45% reduction of hydraulic conductivity at the inlet and 10% reduction at the outlet after the bicarbonate buffering period. A mathematical model developed to capture the reductions in longevity is presented. The model, which considers the effects of time-varying porosity, hydraulic …


Flexural Fatigue Behaviour Of Geogrid Reinforced Concrete Pavements, Muhammad N. S Hadi, Abbas Sahib Abd-Ali Al-Hedad Jan 2020

Flexural Fatigue Behaviour Of Geogrid Reinforced Concrete Pavements, Muhammad N. S Hadi, Abbas Sahib Abd-Ali Al-Hedad

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 Elsevier Ltd This paper investigates the effect of geogrid reinforcement on the flexural fatigue behaviour of concrete pavements subjected to cyclic loads. Fifteen-notched concrete beam specimens with the dimensions of 150 × 150 × 550 mm were either unreinforced, reinforced with a single or a double geogrid layer. The geogrid was placed at a depth of 55 mm from the bottom of the specimen. The specimens were tested under cyclic four-point bending loads at a frequency of 7 Hz. Test results illustrate that significant improvement was achieved in the flexural strength and fracture energy of the concrete specimens …


Cross-Aisle Seismic Performance Of Selective Storage Racks, James Maguire, Lip H. Teh, G Clifton, Z Tang, James Lim Jan 2020

Cross-Aisle Seismic Performance Of Selective Storage Racks, James Maguire, Lip H. Teh, G Clifton, Z Tang, James Lim

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 A series of single-axis shaking table tests were conducted on three full-scale selective storage racks in the cross-aisle direction. The uplifting and rocking behaviour of the racks was examined under three baseplate types: ductile, heavy duty, and unanchored. Each rack was subjected to a sequence of ground motions of increasing intensity up to failure, with a total of 29 tests conducted. At 1.5 times the respective design level ground motions, the heavy duty baseplates caused a foundation failure while the unanchored rack failed by overturning. The rack with ductile baseplates survived all tests up to 2.3 times the …


Computational Simulation Of Eccentrically Loaded Circular Thin-Walled Concrete-Filled Double Steel Tubular Slender Columns, Mizan Ahmed, Qing Liang, Vipulkumar Patel, Muhammad N. S Hadi Jan 2020

Computational Simulation Of Eccentrically Loaded Circular Thin-Walled Concrete-Filled Double Steel Tubular Slender Columns, Mizan Ahmed, Qing Liang, Vipulkumar Patel, Muhammad N. S Hadi

Faculty of Engineering and Information Sciences - Papers: Part B

The concrete confinement provided by the circular steel tubes improves the performance of circular concretefilled double steel tubular (CFDST) columns, which have increasingly been employed as high-performance structural members in tall buildings. This paper presents computational and design models for the simulation and design of high strength CFDST slender columns composed of circular thin-walled sections that are eccentrically loaded. The formulation of the computational model is described, which takes into account the influences of concrete confinement, geometric imperfection, second-order, gradual plasticity of steel, and geometric and material nonlinearities. The inverse quadratic method is implemented in computational algorithms which solve the …


Specs: A Non-Parametric Method To Identify Tissue-Specific Molecular Features For Unbalanced Sample Groups, Celine Everaert, Pieter Volders, Annelien Morlion, Olivier Thas, Pieter Mestdagh Jan 2020

Specs: A Non-Parametric Method To Identify Tissue-Specific Molecular Features For Unbalanced Sample Groups, Celine Everaert, Pieter Volders, Annelien Morlion, Olivier Thas, Pieter Mestdagh

Faculty of Engineering and Information Sciences - Papers: Part B

2020 The Author(s). Background: To understand biology and differences among various tissues or cell types, one typically searches for molecular features that display characteristic abundance patterns. Several specificity metrics have been introduced to identify tissue-specific molecular features, but these either require an equal number of replicates per tissue or they can't handle replicates at all. Results: We describe a non-parametric specificity score that is compatible with unequal sample group sizes. To demonstrate its usefulness, the specificity score was calculated on all GTEx samples, detecting known and novel tissue-specific genes. A webtool was developed to browse these results for genes or …


Transport Is Letting Australia Down In The Race To Cut Emissions, Philip G. Laird Jan 2020

Transport Is Letting Australia Down In The Race To Cut Emissions, Philip G. Laird

Faculty of Engineering and Information Sciences - Papers: Part B

At a time Australia is meant to be reducing its greenhouse emissions, the upward trend in transport sector emissions continues. The latest National Greenhouse Gas Inventory report released last week shows the transport sector emitted 102 million tonnes (Mt) of carbon dioxide equivalent (MtCO₂-e) in the 12 months to September 2019. This was 18.9% of Australia's emissions.


Exploring Nonlinear Diffusion Equations For Modelling Dye-Sensitized Solar Cells, Benjamin Maldon, Ngamta Thamwattana, Maureen P. Edwards Jan 2020

Exploring Nonlinear Diffusion Equations For Modelling Dye-Sensitized Solar Cells, Benjamin Maldon, Ngamta Thamwattana, Maureen P. Edwards

Faculty of Engineering and Information Sciences - Papers: Part B

2020 by the authors. Dye-sensitized solar cells offer an alternative source for renewable energy by means of converting sunlight into electricity. While there are many studies concerning the development of DSSCs, comprehensive mathematical modelling of the devices is still lacking. Recent mathematical models are based on diffusion equations of electron density in the conduction band of the nano-porous semiconductor in dye-sensitized solar cells. Under linear diffusion and recombination, this paper provides analytical solutions to the diffusion equation. Further, Lie symmetry analysis is adopted in order to explore analytical solutions to physically relevant special cases of the nonlinear diffusion equations. While …


A New Ai-Surrogate Model For Dynamics Analysis Of A Magnetorheological Damper In The Semi-Active Seat Suspension, Xinhua Liu, Ningning Wang, Kun Wang, Shumei Chen, Shuaishuai Sun, Zhixiong Li, Weihua Li Jan 2020

A New Ai-Surrogate Model For Dynamics Analysis Of A Magnetorheological Damper In The Semi-Active Seat Suspension, Xinhua Liu, Ningning Wang, Kun Wang, Shumei Chen, Shuaishuai Sun, Zhixiong Li, Weihua Li

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 The Author(s). Published by IOP Publishing Ltd. This paper aims to develop a surrogate model for dynamics analysis of a magnetorheological damper (MRD) in the semi-active seat suspension system. An improved fruit fly optimization algorithm (IFOA) which enhances the global search capability of the original FOA is proposed to optimize the structure of a back propagation neural network (BPNN) in establishing the surrogate model. An MRD platform was fabricated to generate experimental data to feed the IFOA-BPNN model. Intrinsic patterns about the MRD dynamics behind the datasets have been discovered to establish a reliable MRD surrogate model. The …


Approaches To Dealing With Missing Data In Railway Asset Management, Paul Mcmahon, Tieling Zhang, Richard Dwight Jan 2020

Approaches To Dealing With Missing Data In Railway Asset Management, Paul Mcmahon, Tieling Zhang, Richard Dwight

Faculty of Engineering and Information Sciences - Papers: Part B

The collection of reliable and high-quality data is seen as a prerequisite for effective and efficient rail infrastructure and rolling stock asset management to meet the requirements of asset owners and service providers. In this paper, the importance of recovering missing information in railway asset management is highlighted, and the advanced models and algorithms that have been applied to recovering the missed data are analyzed and discussed. Through making comparisons among these models and algorithms, a procedure is proposed to guide selecting the appropriate models based on different data missing scenarios. Using the newly developed framework with one dataset from …


Study Of Wire Deformation Characterization And Size Effects During The Micro-Flat-Rolling Process, Haibo Xie, Ken-Ichi Manabe, Zhengyi Jiang Jan 2020

Study Of Wire Deformation Characterization And Size Effects During The Micro-Flat-Rolling Process, Haibo Xie, Ken-Ichi Manabe, Zhengyi Jiang

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. A comprehensive research on the flat rolling deformation characterization of microwire has been conducted systematically through finite element simulation and testified by the results from the experimental analysis. The obtained results are compared in terms of lateral spread, geometrical characteristic, contact area width and surface roughness considering the effects of pass reduction and initial wire diameter. The size effect has been identified and surface layer modeling has been set up based on surface grain share and grain size distribution. The numerical method combined with varied flow stress has been verified by …


Electrical Power Generation From The Oceanic Wave For Sustainable Advancement In Renewable Energy Technologies, Omar Farrok, Koushik Ahmed, Abdirazak Tahlil, Mohamud Farah, Mahbubur Kiran, Md Rabiul Islam Jan 2020

Electrical Power Generation From The Oceanic Wave For Sustainable Advancement In Renewable Energy Technologies, Omar Farrok, Koushik Ahmed, Abdirazak Tahlil, Mohamud Farah, Mahbubur Kiran, Md Rabiul Islam

Faculty of Engineering and Information Sciences - Papers: Part B

Recently, electrical power generation from oceanic waves is becoming very popular, as it is prospective, predictable, and highly available compared to other conventional renewable energy resources. In this paper, various types of nearshore, onshore, and offshore wave energy devices, including their construction and working principle, are explained explicitly. They include point absorber, overtopping devices, oscillating water column, attenuators, oscillating wave surge converters, submerged pressure differential, rotating mass, and bulge wave converter devices. The encounters and obstacles of electrical power generation from the oceanic wave are discussed in detail. The electrical power generation methods of the generators involved in wave energy …


Scheduling Of A Parcel Delivery System Consisting Of An Aerial Drone Interacting With Public Transportation Vehicles, Hailong Huang, Andrey V. Savkin, Chao Huang Jan 2020

Scheduling Of A Parcel Delivery System Consisting Of An Aerial Drone Interacting With Public Transportation Vehicles, Hailong Huang, Andrey V. Savkin, Chao Huang

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This paper proposes a novel parcel delivery system which consists of a drone and public transportation vehicles such as trains, trams, etc. This system involves two delivery schemes: drone-direct scheme referring to delivering to a customer by a drone directly and drone–vehicle collaborating scheme referring to delivering a customer based on the collaboration of a drone and public transportation vehicles. The fundamental characteristics including the delivery time, energy consumption and battery recharging are modelled, based on which a time-dependent scheduling problem for a single drone is formulated. It is shown to …


Tunable Strong Photo-Mixing In Weyl Semimetals, Jack Zuber, T Zhao, S Gong, M Hu, R Zhong, C Zhang, S Liu Jan 2020

Tunable Strong Photo-Mixing In Weyl Semimetals, Jack Zuber, T Zhao, S Gong, M Hu, R Zhong, C Zhang, S Liu

Faculty of Engineering and Information Sciences - Papers: Part B

We study both the temperature and band-gap dependence of the first-and third-order intraband conductivities of a Weyl semimetal (WSM) as well as the resultant critical field. By a semiclassical model we further explore how different chemical potentials, cone separations, field geometries, and finite relaxation times affect photoresponse. We determine that the band-gap variation is characterized by the Weyl cone separation and observe significant thermal enhancement of the nonlinear response. Universal behaviors of both the linear and nonlinear response have also been observed under certain conditions. Coupled with experimentally accessible critical field values of 104-105 V m-1, our results give strong …