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Articles 1 - 30 of 304
Full-Text Articles in Social and Behavioral Sciences
Equivalent Static Force Method For Selective Storage Racks With Uplifting Baseplates, James Maguire, Lip H. Teh, G Charles Clifton, Timothy J. Mccarthy
Equivalent Static Force Method For Selective Storage Racks With Uplifting Baseplates, James Maguire, Lip H. Teh, G Charles Clifton, Timothy J. Mccarthy
Faculty of Engineering and Information Sciences - Papers: Part B
This paper is concerned with the equivalent static force method for the seismic design of selective storage racks with uplifting baseplates. It proposes a new procedure for determining the effective natural period of such racks in the cross-aisle direction for use in the NZS 1170.5 equivalent static method. The procedure is derived by comparing the base shear results of trialled Rayleigh methods against nonlinear time history analysis results involving 15 upright frame configurations, comprising 5 baseplate types for three, five and seven level racks. The time history analyses use a suite of 44 ground motion records. It is recommended that …
A Blockchain Based System For Safe Vaccine Supply And Supervision, Binbin Yong, Jun Shen, Xin Liu, Fucun Li, Huaming Chen, Qingguo Zhou
A Blockchain Based System For Safe Vaccine Supply And Supervision, Binbin Yong, Jun Shen, Xin Liu, Fucun Li, Huaming Chen, Qingguo Zhou
Faculty of Engineering and Information Sciences - Papers: Part B
Immunization is an indispensable mechanism for preventing infectious diseases in modern society, and vaccine safety is closely related to public health and national security. However, issues such as vaccine expiration and vaccine record fraud are still widespread in vaccine supply chains. Therefore, an effective management system for the supervision of vaccine supply chains is urgently required. As the next generation of core technology after the Internet, blockchain is designed to build trust mechanisms that can change current information management methods. Meanwhile, the development of machine learning technologies provides additional ways to analyze the data in information management systems. The main …
From Ideal To Reality: Segmentation, Annotation, And Recommendation, The Vital Trajectory Of Intelligent Micro Learning, Jiayin Lin, Geng Sun, Tingru Cui, Jun Shen, Dongming Xu, Ghassan Beydoun, Ping Yu, David Pritchard, Li Li, Shiping Chen
From Ideal To Reality: Segmentation, Annotation, And Recommendation, The Vital Trajectory Of Intelligent Micro Learning, Jiayin Lin, Geng Sun, Tingru Cui, Jun Shen, Dongming Xu, Ghassan Beydoun, Ping Yu, David Pritchard, Li Li, Shiping Chen
Faculty of Engineering and Information Sciences - Papers: Part B
The soaring development of Web technologies and mobile devices has blurred time-space boundaries of people’s daily activities. Such development together with the life-long learning requirement give birth to a new learning style, micro learning. Micro learning aims to effectively utilize learners’ fragmented time to carry out personalized learning activities through online education resources. The whole workflow of a micro learning system can be separated into three processing stages: micro learning material generation, learning materials annotation and personalized learning materials delivery. Our micro learning framework is firstly introduced in this paper from a higher perspective. Then we will review representative segmentation …
Multi-Period Data Driven Control Strategy For Real-Time Management Of Energy Storages In Virtual Power Plants Integrated With Power Grid, Chixin Xiao, Danny Sutanto, Kashem M. Muttaqi, Minjie Zhang
Multi-Period Data Driven Control Strategy For Real-Time Management Of Energy Storages In Virtual Power Plants Integrated With Power Grid, Chixin Xiao, Danny Sutanto, Kashem M. Muttaqi, Minjie Zhang
Faculty of Engineering and Information Sciences - Papers: Part B
2019 Elsevier Ltd This paper investigates a novel real-time stochastic multi-period management strategy of a virtual power plant (VPP) using a three-layer language protocol based on computer program compiler principle, which takes advantage of the availability of the battery storage in a VPP to maximize the revenue of the VPP over the entire trading horizon considering the predicted prices in each slice of that horizon. When the conventional scenario tree method is used to solve the computational complexity of the multi-period stochastic optimization problem, it may cause the problem to become intractable when the problem-scale increases. This paper proposes a …
Group Self-Build Housing: A Bottom-Up Approach To Environmentally And Socially Sustainable Housing, Emma Elizabeth Heffernan, Pieter De Wilde
Group Self-Build Housing: A Bottom-Up Approach To Environmentally And Socially Sustainable Housing, Emma Elizabeth Heffernan, Pieter De Wilde
Faculty of Engineering and Information Sciences - Papers: Part B
In England, there is a longstanding and increasing undersupply of both affordable and open-market housing. Around three quarters of all new homes in the UK are currently built speculatively by the developer-led private housing sector. However, demand for self-build housing is growing. Concurrently, there is also a need to address the sustainability of homes, which represent 29% of final energy consumption in the UK. There is a clear imperative to develop business models within the construction sector in which both social and environmental sustainability are inherent. The aim of this paper is to explore professional and expert opinions on the …
A Semi-Analytic Valuation Of American Options Under A Two-State Regime-Switching Economy, Xiaoping Lu, Endah Putri
A Semi-Analytic Valuation Of American Options Under A Two-State Regime-Switching Economy, Xiaoping Lu, Endah Putri
Faculty of Engineering and Information Sciences - Papers: Part B
In this study, we develop a semi-analytic method to evaluate American options under a two-state regime-switching economy. The two free boundaries corresponding to the states divide the pricing domain into two regions: a common continuation region and a transition region. Non-linear partial differential equation (PDE) systems are derived under the Black-Scholes framework for each region. The Laplace transform method is used to solve the PDE systems. Equations for determining the optimal exercise prices are obtained analytically and solved numerically in the Laplace space. A numerical inversion technique is then used to obtain the free boundaries and the option prices in …
Circular Hybrid Double-Skin Tubular Columns With A Stiffener-Reinforced Steel Inner Tube And A Large-Rupture-Strain Frp Outer Tube: Compressive Behavior, Le Huang, S S. Zhang, Tao Yu, K Peng
Circular Hybrid Double-Skin Tubular Columns With A Stiffener-Reinforced Steel Inner Tube And A Large-Rupture-Strain Frp Outer Tube: Compressive Behavior, Le Huang, S S. Zhang, Tao Yu, K Peng
Faculty of Engineering and Information Sciences - Papers: Part B
A typical fiber-reinforced polymer (FRP)-concrete-steel double-skin tubular column (DSTC) consists of an FRP outer tube, a hollow steel inner tube and an annular concrete in-fill in between. The existing studies on DSTCs in the past decade have generally confirmed the good structural performance of such column form, while it is worth noting that the possible in-ward buckling of the steel tubes in DSTCs is still a problem to be addressed, especially when DSTCs are subjected to large axial deformation. Against this background, a variation form of DSTCs called R-DSTCs has been recently developed by the authors. An R-DSTC is a …
Four-Dimensional (Bio-)Printing: A Review On Stimuli-Responsive Mechanisms And Their Biomedical Suitability, Pedro Morouco, Bahareh Azimi, Mario Milazzo, Fatemeh Mokhtari, Cristiana Fernandes, Diana Reis, Serena Danti
Four-Dimensional (Bio-)Printing: A Review On Stimuli-Responsive Mechanisms And Their Biomedical Suitability, Pedro Morouco, Bahareh Azimi, Mario Milazzo, Fatemeh Mokhtari, Cristiana Fernandes, Diana Reis, Serena Danti
Faculty of Engineering and Information Sciences - Papers: Part B
The applications of tissue engineered constructs have witnessed great advances in the last few years, as advanced fabrication techniques have enabled promising approaches to develop structures and devices for biomedical uses. (Bio-)printing, including both plain material and cell/material printing, offers remarkable advantages and versatility to produce multilateral and cell-laden tissue constructs; however, it has often revealed to be insufficient to fulfill clinical needs. Indeed, three-dimensional (3D) (bio-)printing does not provide one critical element, fundamental to mimic native live tissues, i.e., the ability to change shape/properties with time to respond to microenvironmental stimuli in a personalized manner. This capability is in …
Hygrothermal Performance Of Metal Wall Cladding Systems: Phase 1 Final Report, Alan Green, Paul Cooper
Hygrothermal Performance Of Metal Wall Cladding Systems: Phase 1 Final Report, Alan Green, Paul Cooper
Faculty of Engineering and Information Sciences - Papers: Part B
A series of experiments and simulations have been conducted to investigate how natural (i.e. buoyancy and wind-driven) ventilation through cavities formed behind steel cladding can influence the thermal and hygric (i.e. moisture-related) performance of walls in Australia. Changes to the National Construction Code (NCC) in 2019 introduced requirements for the thermal resistance of cavities to be calculated using methods outlined in the new standard AS/NZS 4859.2:2018. These calculation methods reduce the nominal thermal resistance of such cavities significantly when they include openings for ventilation between the cavity and the outdoor air (Figure 1).
Choosing Subfields For Luov And Lifting Fields For Rainbow, Dung Hoang Duong, Le Van Luyen, Ha Tran
Choosing Subfields For Luov And Lifting Fields For Rainbow, Dung Hoang Duong, Le Van Luyen, Ha Tran
Faculty of Engineering and Information Sciences - Papers: Part B
© The Institution of Engineering and Technology 2019 Multivariate public key cryptography is one of the main candidates for post-quantum cryptography. Rainbow, an improved (multi-layer) version of unbalanced oil and vinegar (UOV), is one of the most famous multivariate signature schemes that is a promising candidate for NIST standardisation. At INDOCRYPT 2017, Beullens and Preneel introduced a new variant LUOV of UOV. Their idea is to generate a UOV scheme over the binary field L = F2 and then lift it into a bigger field K = F2r and hence dramatically reduce the public key size. In this study, the …
Susceptibility Artifact Correction For Sub-Millimeter Fmri Using Inverse Phase Encoding Registration And T1 Weighted Regularization, Soan Duong, Son Lam Phung, Abdesselam Bouzerdoum, Harriet Boyd Taylor, A Puckett, Mark M. Schira
Susceptibility Artifact Correction For Sub-Millimeter Fmri Using Inverse Phase Encoding Registration And T1 Weighted Regularization, Soan Duong, Son Lam Phung, Abdesselam Bouzerdoum, Harriet Boyd Taylor, A Puckett, Mark M. Schira
Faculty of Engineering and Information Sciences - Papers: Part B
© 2020 Elsevier B.V. Background: Functional magnetic resonance imaging (fMRI) enables non-invasive examination of both the structure and the function of the human brain. The prevalence of high spatial-resolution (sub-millimeter) fMRI has triggered new research on the intra-cortex, such as cortical columns and cortical layers. At present, echo-planar imaging (EPI) is used exclusively to acquire fMRI data; however, susceptibility artifacts are unavoidable. These distortions are especially severe in high spatial-resolution images and can lead to misrepresentation of brain function in fMRI experiments. New method: This paper presents a new method for correcting susceptibility artifacts by combining a T1-weighted (T1w) image …
Wearable Electronic Textiles From Nanostructured Piezoelectric Fibers, Fatemeh Mokhtari, Geoffrey M. Spinks, Cormac Fay, Zhenxiang Cheng, Raad Raad, Jiangtao Xi, Javad Foroughi
Wearable Electronic Textiles From Nanostructured Piezoelectric Fibers, Fatemeh Mokhtari, Geoffrey M. Spinks, Cormac Fay, Zhenxiang Cheng, Raad Raad, Jiangtao Xi, Javad Foroughi
Faculty of Engineering and Information Sciences - Papers: Part B
© 2020 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim Wearable energy harvesting is of practical interest for many years and for diverse applications, including development of self-powered wireless sensors within garments for human health monitoring. Herein, a novel approach is reported to create wearable energy generators and sensors using nanostructured hybrid piezoelectric fibers and exploiting the enormous variety of textile architectures. It is found that high performance hybrid piezofiber is obtained using a barium titanate (BT) nanoparticle and poly(vinylidene fluoride) (PVDF) with a mass ratio of 1:10. These fibers are knitted to form a wearable energy generator that produced a …
State Of The Art Of Solid-State Transformers: Advanced Topologies, Implementation Issues, Recent Progress And Improvements, Mahammad Hannan, Pin Ker, Molla Lipu, Zhen Choi, M Rahman, Kashem M. Muttaqi, Frede Blaabjerg
State Of The Art Of Solid-State Transformers: Advanced Topologies, Implementation Issues, Recent Progress And Improvements, Mahammad Hannan, Pin Ker, Molla Lipu, Zhen Choi, M Rahman, Kashem M. Muttaqi, Frede Blaabjerg
Faculty of Engineering and Information Sciences - Papers: Part B
© 2013 IEEE. Solid-state transformer (SST) is an emerging technology integrating with a transformer power electronics converters and control circuitry. This paper comprehensively reviews the SST topologies suitable for different voltage levels and with varied stages, their control operation, and different trends in applications. The paper discusses various SST configurations with their design and characteristics to convert the input to output under unipolar and bipolar operation. A comparison between the topologies, control operation and applications are included. Different control models and schemes are explained. Potential benefits of SST in many applications in terms of controllability and the synergy of AC …
The Energy Transformation Of Internal Erosion Based On Fluid-Particle Coupling, Thanh Trung Nguyen, Buddhima Indraratna
The Energy Transformation Of Internal Erosion Based On Fluid-Particle Coupling, Thanh Trung Nguyen, Buddhima Indraratna
Faculty of Engineering and Information Sciences - Papers: Part B
© 2020 Elsevier Ltd The transformation of energy is an intrinsic process that is needed to trigger the internal erosion of soils subjected to a fluid flow, but how to capture this process is not understood very well. This is why this study aims to address these complex processes through a numerical fluid-particle coupling simulation. The computational fluid dynamics (CFD) is used to model fluid flows which is coupled with the discrete element method (DEM) employed to simulate soil particles. Detailed migration of particles and fluid variables are recorded to enable their kinetic energy to be computed. Successful experiments are …
Transient Nonlinear Heat Transfer Analysis Using A Generic Grid Refinement For Structure Parameter Variations, S Feng, Y Tao, Zhenjun Ma, Grzegorz Krolczyk, Zhixiong Li
Transient Nonlinear Heat Transfer Analysis Using A Generic Grid Refinement For Structure Parameter Variations, S Feng, Y Tao, Zhenjun Ma, Grzegorz Krolczyk, Zhixiong Li
Faculty of Engineering and Information Sciences - Papers: Part B
2020 The Authors Traditional finite element models are usually established based on specific structures to address the transient nonlinear heat transfer analysis; however, if the structure parameters change one has to reanalyze/rebuild the finite element models, resulting in a lot of additional computational cost. To address this problem, this work develops a generic grid refinement approach to improve the computational efficiency of nonlinear heat transfer analysis. The advantage of the proposed method lies that the grids can be used to establish connections between original and modified structures through transfer operators, which is calculated only once for the original structures and …
Thermodynamic Analysis Of A Solar-Driven High-Temperature Steam Electrolyzer For Clean Hydrogen Production, Wei He, Mohammad Namar, Zhixiong Li, Akbar Maleki, Iskander Tlili, Mostafa Safdari
Thermodynamic Analysis Of A Solar-Driven High-Temperature Steam Electrolyzer For Clean Hydrogen Production, Wei He, Mohammad Namar, Zhixiong Li, Akbar Maleki, Iskander Tlili, Mostafa Safdari
Faculty of Engineering and Information Sciences - Papers: Part B
2020 Elsevier Ltd Increasing world population and consequent increase in fossil fuels consumption emerge the necessity of looking for new sources of energy; resources that are clean, cheap, and renewable. Hydrogen is known as a clean and renewable fuel in various approaches; so, finding clean ways of hydrogen production can be considered as an appropriate solution for climate changes and global warming. In this study, a conceptual design of solar-driven high-temperature steam electrolyzer system is presented, and its performance is investigated thermodynamically using a real-time simulator in-house code. Evaluation of the effects of inlet parameters on the system performance is …
Thermo-Economic Selection Criteria Of Working Fluid Used In Dual-Loop Orc For Engine Waste Heat Recovery By Multi-Objective Optimization, Zhiqi Wang, Yanhua Hu, Xiaoxia Xia, Qingsong Zuo, Bin Zhao, Zhixiong Li
Thermo-Economic Selection Criteria Of Working Fluid Used In Dual-Loop Orc For Engine Waste Heat Recovery By Multi-Objective Optimization, Zhiqi Wang, Yanhua Hu, Xiaoxia Xia, Qingsong Zuo, Bin Zhao, Zhixiong Li
Faculty of Engineering and Information Sciences - Papers: Part B
2020 Elsevier Ltd The dual-loop organic Rankine cycle(DORC) is considered as an important way for engine waste heat recovery (WHR). Currently, researchers mainly focus on thermodynamic analysis and the performance comparison of multiple existing working fluid pairs without optimizing the working fluid pairs. Therefore, a novel analysis method of selection criteria based on thermodynamic and economic is provided to select a suitable working fluid using the multi-objective optimization. Firstly, a multi-objective optimization was performed using the Non-dominated sorting genetic algorithm-Ⅱ(NSGA-Ⅱ) to maximize exergy efficiency and minimize payback period under 24 candidate working fluid pairs from the references. And the Technical …
Numerical Simulation Of Strip Shape Of High-Strength Steel During Hot Rolling Process, Lianjie Li, Haibo Xie, Xu Liu, Tianwu Liu, Enrui Wang, Zhengyi Jiang
Numerical Simulation Of Strip Shape Of High-Strength Steel During Hot Rolling Process, Lianjie Li, Haibo Xie, Xu Liu, Tianwu Liu, Enrui Wang, Zhengyi Jiang
Faculty of Engineering and Information Sciences - Papers: Part B
2020 Trans Tech Publications Ltd, Switzerland. High-strength steel is widely applied due to its excellent mechanical properties. However, its high strength in turn brings great difficulties to production and processing such as hot strip rolling owing to the high rolling force, which results in large elastic deformation of roll stack and poses a huge challenge to the control of strip crown and flatness. In this paper, A threedimensional (3D) elastic-plastic coupled thermo-mechanical finite element (FE) model for hot strip rolling of high-strength steel is developed and then verified experimentally. This model not only calculates the elastic deformation of rolls and …
Attention-Based Residual Network With Scattering Transform Features For Hyperspectral Unmixing With Limited Training Samples, Yiliang Zeng, Christian H. Ritz, Jiahong Zhao, Jinhui Lan
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
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 …
Dtn And Non-Dtn Routing Protocols For Inter-Cubesat Communications: A Comprehensive Survey, Mohamed Atef Madni, Saeid Iranmanesh, Raad Raad
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 Decentralized Latency-Aware Task Allocation And Group Formation Approach With Fault Tolerance For Iot Applications, Muhammad Mudassar, Yanlong Zhai, Lejian Liao, Jun Shen
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
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 …
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
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 …
Cross-Aisle Seismic Performance Of Selective Storage Racks, James Maguire, Lip H. Teh, G Clifton, Z Tang, James Lim
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
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
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 …
Exploring Nonlinear Diffusion Equations For Modelling Dye-Sensitized Solar Cells, Benjamin Maldon, Ngamta Thamwattana, Maureen P. Edwards
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
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
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 …