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Full-Text Articles in Social and Behavioral Sciences

A Hybrid Unsupervised Clustering-Based Anomaly Detection Method, Guo Pu, Lijuan Wang, Jun Shen, Fang Dong Jan 2021

A Hybrid Unsupervised Clustering-Based Anomaly Detection Method, Guo Pu, Lijuan Wang, Jun Shen, Fang Dong

Faculty of Engineering and Information Sciences - Papers: Part B

In recent years, machine learning-based cyber intrusion detection methods have gained increasing popularity. The number and complexity of new attacks continue to rise; therefore, effective and intelligent solutions are necessary. Unsupervised machine learning techniques are particularly appealing to intrusion detection systems since they can detect known and unknown types of attacks as well as zero-day attacks. In the current paper, we present an unsupervised anomaly detection method, which combines Sub-Space Clustering (SSC) and One Class Support Vector Machine (OCSVM) to detect attacks without any prior knowledge. The proposed approach is evaluated using the well-known NSL-KDD dataset. The experimental results demonstrate ...


Towards A More Effective Bidirectional Lstm-Based Learning Model For Human-Bacterium Protein-Protein Interactions, Huaming Chen, Jun Shen, Lei Wang, Yaochu Jin Jan 2021

Towards A More Effective Bidirectional Lstm-Based Learning Model For Human-Bacterium Protein-Protein Interactions, Huaming Chen, Jun Shen, Lei Wang, Yaochu Jin

Faculty of Engineering and Information Sciences - Papers: Part B

The identification of protein-protein interaction (PPI) is one of the most important tasks to understand the biological functions and disease mechanisms. Although numerous databases of biological interactions have been published in debt to advanced high-throughput technology, the study of inter-species protein-protein interactions, especially between human and bacterium pathogens, remains an active yet challenging topic to harness computational models tackling the complex analysis and prediction tasks. In this paper, we comprehensively revisit the prediction task of human-bacterium protein-protein interactions (HB-PPI), which is a first ever endeavour to report an empirical evaluation in learning and predicting HB-PPI based on machine learning models ...


Using Cost-Sensitive Learning And Feature Selection Algorithms To Improve The Performance Of Imbalanced Classification, Fang Feng, Kuan-Ching Li, Jun Shen, Qingguo Zhou, Xuhui Yang Jan 2020

Using Cost-Sensitive Learning And Feature Selection Algorithms To Improve The Performance Of Imbalanced Classification, Fang Feng, Kuan-Ching Li, Jun Shen, Qingguo Zhou, Xuhui Yang

Faculty of Engineering and Information Sciences - Papers: Part A

Imbalanced data problem is widely present in network intrusion detection, spam filtering, biomedical engineering, finance, science, being a challenge in many real-life data-intensive applications. Classifier bias occurs when traditional classification algorithms are used to deal with imbalanced data. As already known, the General Vector Machine (GVM) algorithm has good generalization ability, though it does not work well for the imbalanced classification. Additionally, the state-of-the-art Binary Ant Lion Optimizer (BALO) algorithm has high exploitability and fast convergence rate. Based on these facts, we have proposed in this paper a Cost-sensitive Feature selection General Vector Machine (CFGVM) algorithm based on GVM and ...


Microstructural Evolution Of Hybrid Aluminum Matrix Composites Reinforced With Sic Nanoparticles And Graphene/Graphite Prepared By Powder Metallurgy, Jiangshan Zhang, Qing Liu, Shufeng Yang, Zhixin Chen, Qiang Liu, Zhengyi Jiang Jan 2020

Microstructural Evolution Of Hybrid Aluminum Matrix Composites Reinforced With Sic Nanoparticles And Graphene/Graphite Prepared By Powder Metallurgy, Jiangshan Zhang, Qing Liu, Shufeng Yang, Zhixin Chen, Qiang Liu, Zhengyi Jiang

Faculty of Engineering and Information Sciences - Papers: Part A

© 2020 Chinese Materials Research Society The dispersion of ceramic nanoparticles is of significance to the microstructure and properties of particulate reinforced metal matrix composites. In this study, two hybrid enhancers, SiC-graphite and SiC-graphene nanosheets (GNSs), were incorporated into aluminum matrix composites using powder metallurgy. The dispersion of the reinforcements and microstructural evolution of the composites were characterized by using Scanning Electron Microscopy, X-Ray Diffraction, Transmission Electron Microscopy, and Raman spectroscopy. The results show that thin GNSs accelerated the deformation of the aluminum particles, and defects were introduced into the carbonaceous phases during the ball milling process. Al4C3 needles generated during ...


An In Situ Synchrotron Study Of The Localized B2↔B19' Phase Transformation In An Ni-Ti Alloy Subjected To Uniaxial Cyclic Loading-Unloading With Incremental Strains, Xiaohui Bian, Ahmed A. Saleh, Peter Lynch, Christopher Davies, Azdiar Adil Gazder, Elena V. Pereloma Jan 2020

An In Situ Synchrotron Study Of The Localized B2↔B19' Phase Transformation In An Ni-Ti Alloy Subjected To Uniaxial Cyclic Loading-Unloading With Incremental Strains, Xiaohui Bian, Ahmed A. Saleh, Peter Lynch, Christopher Davies, Azdiar Adil Gazder, Elena V. Pereloma

Faculty of Engineering and Information Sciences - Papers: Part A

© 2020. High-resolution in situ synchrotron X-ray diffraction was applied to study a cold-drawn and solution-treated 56Ni-44Tiwt% alloy subjected to uniaxial cyclic loading-unloading with incremental strains. The micro-mechanical behaviour associated with the partial and repeated B2↔B19' phase transformation at the centre of the sample gauge length was studied with respect to the macroscopic stress-strain response. The lattice strains of the (110)B2 and different B19' grain families are affected by (i) the transformation strain, the load-bearing capacity of both phases and the strain continuity maintained at/near the B2-B19' interfaces at the centre of the gauge length, and (ii) the ...


Aggregatable Certificateless Designated Verifier Signature, Pairat Thorncharoensri, Willy Susilo Jan 2020

Aggregatable Certificateless Designated Verifier Signature, Pairat Thorncharoensri, Willy Susilo

Faculty of Engineering and Information Sciences - Papers: Part B

In recent years, the Internet of Things (IoT) devices have become increasingly deployed in many industries and generated a large amount of data that needs to be processed in a timely and efficient manner. Using aggregate signatures, it provides a secure and efficient way to handle large numbers of digital signatures with the same message. Recently, the privacy issue has been concerned about the topic of data sharing on the cloud. To provide the integrity, authenticity, authority, and privacy on the data sharing in the cloud storage, the notion of an aggregatable certificateless designated verifier signature scheme (ACLDVS) was proposed ...


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 ...


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.


Deep Sequence Labelling Model For Information Extraction In Micro Learning Service, Jiayin Lin, Zhexuan Zhou, Geng Sun, Jun Shen, David Pritchard, Tingru Cui, Dongming Xu, Li Li, Ghassan Beydoun Jan 2020

Deep Sequence Labelling Model For Information Extraction In Micro Learning Service, Jiayin Lin, Zhexuan Zhou, Geng Sun, Jun Shen, David Pritchard, Tingru Cui, Dongming Xu, Li Li, Ghassan Beydoun

Faculty of Engineering and Information Sciences - Papers: Part B

Micro learning aims to assist users in making good use of smaller chunks of spare time and provides an effective online learning service. However, to provide such personalized online services on the Web, a number of information overload challenges persist. Effectively and precisely mining and extracting valuable information from massive and redundant information is a significant preprocessing procedure for personalizing online services. In this study, we propose a deep sequence labelling model for locating, extracting, and classifying key information for micro learning services. The proposed model is general and combines the advantages of different types of classical neural network. Early ...


Effect Of Attenuation Mismatches In Time Of Flight Pet Reconstruction, Elise Emond, Alexandre Bousse, Maria Machado, Joanna C. Porter, Ashley M. Groves, Brian F. Hutton, Kris Thielemans Jan 2020

Effect Of Attenuation Mismatches In Time Of Flight Pet Reconstruction, Elise Emond, Alexandre Bousse, Maria Machado, Joanna C. Porter, Ashley M. Groves, Brian F. Hutton, Kris Thielemans

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 Institute of Physics and Engineering in Medicine. While the pursuit of better time resolution in positron emission tomography (PET) is rapidly evolving, little work has been performed on time of flight (TOF) image quality at high time resolution in the presence of modelling inconsistencies. This works focuses on the effect of using the wrong attenuation map in the system model, causing perturbations in the reconstructed radioactivity image. Previous work has usually considered the effects to be local to the area where there is attenuation mismatch, and has shown that the quantification errors in this area tend to reduce with ...


A Takagi-Sugeno Fuzzy Model-Based Control Strategy For Variable Stiffness And Variable Damping Suspension, Xin Tang, Donghong Ning, Haiping Du, Weihua Li, Yibo Gao, Weijia Wen Jan 2020

A Takagi-Sugeno Fuzzy Model-Based Control Strategy For Variable Stiffness And Variable Damping Suspension, Xin Tang, Donghong Ning, Haiping Du, Weihua Li, Yibo Gao, Weijia Wen

Faculty of Engineering and Information Sciences - Papers: Part B

© 2013 IEEE. As the concept of variable stiffness and variable damping (VSVD) has increasingly drawn attention, suspensions applied with magnetorheological (MR) dampers to achieve varying stiffness and damping have been an attractive method to improve vehicle performance and driver comfort further. As highly nonlinearity of MR damper dynamics and coupled interconnections in the case of multi-output control, to build a direct control system for VSVD suspension based on multiple MR dampers is difficult. Applying Takagi-Sugeno (T-S) fuzzy model on the VSVD system enables the linear control theory to be directly utilized to build the multi-output controller for multi-MR dampers. In ...


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 training ...


Tribochemistry And Lubrication Of Alkaline Glass Lubricants In Hot Steel Manufacturing, Thi D. Ta, Hoang B. Tran, Anh Kiet Tieu Jan 2020

Tribochemistry And Lubrication Of Alkaline Glass Lubricants In Hot Steel Manufacturing, Thi D. Ta, Hoang B. Tran, Anh Kiet Tieu

Faculty of Engineering and Information Sciences - Papers: Part B

Nowadays, the increasing demand to reduce energy consumption and improve process reliability requires an alternative lubricant with an effective tribological performance and environmentally friendly properties to replace traditional lubricants in hot steel manufacturing. The current work reviews recent comprehensive experimental and theoretical investigations in a new generation of alkaline-based glass lubricants, with phosphate, borate, and silicate being intensively researched. This class of lubricants showed an outstanding friction reduction, anti-wear, and anti-oxidation performance on coupled steel pairs over a wide range of temperatures (from 650 °C to 1000 °C). Each type had different tribochemical reactions within itself and with oxidized steel ...


Novel Topological Nodal Lines And Exotic Drum-Head-Like Surface States In Synthesized Cscl-Type Binary Alloy Tios, Xiaotian Wang, Guangqian Ding, Zhenxiang Cheng, Gokhan Surucu, Xiaolin Wang, Tie Yang Jan 2020

Novel Topological Nodal Lines And Exotic Drum-Head-Like Surface States In Synthesized Cscl-Type Binary Alloy Tios, Xiaotian Wang, Guangqian Ding, Zhenxiang Cheng, Gokhan Surucu, Xiaolin Wang, Tie Yang

Faculty of Engineering and Information Sciences - Papers: Part B

2020 Very recently, searching for new topological nodal line semimetals (TNLSs) and drum-head-like (DHL) surface states has become a hot topic in the field of physical chemistry of materials. Via first principles, in this study, a synthesized CsCl type binary alloy, TiOs, was predicted to be a TNLS with three topological nodal lines (TNLs) centered at the X point in the kx/y/z = π plane, and these TNLs, which are protected by mirror, time reversal (T) and spatial inversion (P) symmetries, are perpendicular to one another. The exotic drum-head-like (DHL) surface states can be clearly observed inside and outside ...


The Design Of Early-Stage Plant Breeding Trials Using Genetic Relatedness, Brian R. Cullis, Alison B. Smith, Nicole A. Cocks, David G. Butler Jan 2020

The Design Of Early-Stage Plant Breeding Trials Using Genetic Relatedness, Brian R. Cullis, Alison B. Smith, Nicole A. Cocks, David G. Butler

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020, The Author(s). The use of appropriate statistical methods has a key role in improving the accuracy of selection decisions in a plant breeding program. This is particularly important in the early stages of testing in which selections are based on data from a limited number of field trials that include large numbers of breeding lines with minimal replication. The method of analysis currently recommended for early-stage trials in Australia involves a linear mixed model that includes genetic relatedness via ancestral information: non-genetic effects that reflect the experimental design and a residual model that accommodates spatial dependence. Such analyses ...


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 ...


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 conductivity ...


Design And Experimental Evaluation Of A New Modular Underactuated Multi-Fingered Robot Hand, Shufeng Tang, Yue Yu, Shuaishuai Sun, Zhixiong Li, Thompson Sarkodie-Gyan, Weihua Li Jan 2020

Design And Experimental Evaluation Of A New Modular Underactuated Multi-Fingered Robot Hand, Shufeng Tang, Yue Yu, Shuaishuai Sun, Zhixiong Li, Thompson Sarkodie-Gyan, Weihua Li

Faculty of Engineering and Information Sciences - Papers: Part B

© IMechE 2020. In this paper, a modular underactuated multi-fingered robot hand is proposed. The robot hand can be freely configured with different number and configuration of modular fingers according to the work needs. Driving motion is achieved by the rigid structure of the screw and the connecting rod. A finger-connecting mechanism is designed on the palm of the robot hand to meet the needs of modular finger’s installation, drive, rotation, and sensor connections. The fingertips are made of hollow rubber to enhance the stability of grasping. Details about the design of the robot hand and analysis of the robot ...


Novel Water-Based Nanolubricant With Superior Tribological Performance In Hot Steel Rolling, Hui Wu, Fanghui Jia, Zhou Li, Fei Lin, Mingshuai Huo, Shuiquan Huang, Sepidar Sayyar, Sihai Jiao, Han Huang, Zhengyi Jiang Jan 2020

Novel Water-Based Nanolubricant With Superior Tribological Performance In Hot Steel Rolling, Hui Wu, Fanghui Jia, Zhou Li, Fei Lin, Mingshuai Huo, Shuiquan Huang, Sepidar Sayyar, Sihai Jiao, Han Huang, Zhengyi Jiang

Faculty of Engineering and Information Sciences - Papers: Part B

No abstract provided.


An Unsupervised Deep Learning Technique For Susceptibility Artifact Correction In Reversed Phase-Encoding Epi Images, Soan Duong, Son Lam Phung, Abdesselam Bouzerdoum, Mark M. Schira Jan 2020

An Unsupervised Deep Learning Technique For Susceptibility Artifact Correction In Reversed Phase-Encoding Epi Images, Soan Duong, Son Lam Phung, Abdesselam Bouzerdoum, Mark M. Schira

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 Elsevier Inc. Echo planar imaging (EPI) is a fast and non-invasive magnetic resonance imaging technique that supports data acquisition at high spatial and temporal resolutions. However, susceptibility artifacts, which cause the misalignment to the underlying structural image, are unavoidable distortions in EPI. Traditional susceptibility artifact correction (SAC) methods estimate the displacement field by optimizing an objective function that involves one or more pairs of reversed phase-encoding (PE) images. The estimated displacement field is then used to unwarp the distorted images and produce the corrected images. Since this conventional approach is time-consuming, we propose an end-to-end deep learning technique, named ...


Evaluation Of The Ptw Microdiamond In Edge-On Orientation For Dosimetry In Small Fields, Owen Brace, Sultan Alhujaili, Jason Paino, Duncan Butler, Dean Wilkinson, Bradley M. Oborn, Anatoly B. Rosenfeld, Michael L. F Lerch, Marco Petasecca, Jeremy A. Davis Jan 2020

Evaluation Of The Ptw Microdiamond In Edge-On Orientation For Dosimetry In Small Fields, Owen Brace, Sultan Alhujaili, Jason Paino, Duncan Butler, Dean Wilkinson, Bradley M. Oborn, Anatoly B. Rosenfeld, Michael L. F Lerch, Marco Petasecca, Jeremy A. Davis

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine Purpose: The PTW microDiamond has an enhanced spatial resolution when operated in an edge-on orientation but is not typically utilized in this orientation due to the specifications of the IAEA TRS-483 code of practice for small field dosimetry. In this work the suitability of an edge-on orientation and advantages over the recommended face-on orientation will be presented. Methods: The PTW microDiamond in both orientations was compared on a Varian TrueBeam linac for: machine output factor (OF), percentage ...


Tactile Feedback In Closed-Loop Control Of Myoelectric Hand Grasping: Conveying Information Of Multiple Sensors Simultaneously Via A Single Feedback Channel, Raphael Mayer, Ricardo Garcia-Rosas, Alireza Mohammadi, Ying Tan, Gursel Alici, Peter Choong, Denny Oetomo Jan 2020

Tactile Feedback In Closed-Loop Control Of Myoelectric Hand Grasping: Conveying Information Of Multiple Sensors Simultaneously Via A Single Feedback Channel, Raphael Mayer, Ricardo Garcia-Rosas, Alireza Mohammadi, Ying Tan, Gursel Alici, Peter Choong, Denny Oetomo

Faculty of Engineering and Information Sciences - Papers: Part B

© Copyright © 2020 Mayer, Garcia-Rosas, Mohammadi, Tan, Alici, Choong and Oetomo. The appropriate sensory information feedback is important for the success of an object grasping and manipulation task. In many scenarios, the need arises for multiple feedback information to be conveyed to a prosthetic hand user simultaneously. The multiple sets of information may either (1) directly contribute to the performance of the grasping or object manipulation task, such as the feedback of the grasping force, or (2) simply form additional independent set(s) of information. In this paper, the efficacy of simultaneously conveying two independent sets of sensor information (the grasp ...


Lane Work-Schedule Of Toll Station Based On Queuing Theory And Pso-Lstm Model, Peng Wang, Jiandong Zhao, Yuan Gao, Miguel Sotelo, Zhixiong Li Jan 2020

Lane Work-Schedule Of Toll Station Based On Queuing Theory And Pso-Lstm Model, Peng Wang, Jiandong Zhao, Yuan Gao, Miguel Sotelo, Zhixiong Li

Faculty of Engineering and Information Sciences - Papers: Part B

© 2013 IEEE. A reasonable lane work-schedule in each time period can not only guarantee the traffic efficiency of toll stations, but also reduce the operating cost of toll stations. This paper proposes a comprehensive solution for lane work plan. Firstly, the average queue length is selected as a good index for measuring the congestion of toll station. And then, based on the queuing theory, the service level of toll station is divided into four levels according to the relationship between the average queue length and traffic capacity. Secondly, based on the toll data, a toll station congestion prediction model is ...


A Review Of Secondary Flow In Inertial Microfluidics, Qianbin Zhao, Dan Yuan, Jun Zhang, Weihua Li Jan 2020

A Review Of Secondary Flow In Inertial Microfluidics, Qianbin Zhao, Dan Yuan, Jun Zhang, Weihua Li

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 by the authors. Inertial microfluidic technology, which can manipulate the target particle entirely relying on the microchannel characteristic geometry and intrinsic hydrodynamic effect, has attracted great attention due to its fascinating advantages of high throughput, simplicity, high resolution and low cost. As a passive microfluidic technology, inertial microfluidics can precisely focus, separate, mix or trap target particles in a continuous and high-flow-speed manner without any extra external force field. Therefore, it is promising and has great potential for a wide range of industrial, biomedical and clinical applications. In the regime of inertial microfluidics, particle migration due to inertial effects ...


Influence Of White Etching Layer On Rolling Contact Behavior At Wheel-Rail Interface, Qinglin Lian, Guanyu Deng, Hongtao Zhu, Hui Jun Li, Xi Wang, Zhiming Liu Jan 2020

Influence Of White Etching Layer On Rolling Contact Behavior At Wheel-Rail Interface, Qinglin Lian, Guanyu Deng, Hongtao Zhu, Hui Jun Li, Xi Wang, Zhiming Liu

Faculty of Engineering and Information Sciences - Papers: Part B

The existence of narrow and brittle white etching layers (WELs) on the rail surface is often linked with the formation of rail defects such as squats and studs, which play the key roles in rail surface degradation and tribological performance. In the present study, a systematic investigation on stress/strain distribution and fatigue life of the WEL during wheel-rail rolling contact was conducted based on a numerical model considering the realistic wheel geometry. This is the first study considering the influence of rail materials, loading pressure, frictional condition, WEL geometry (a/b), and slip ratio (Sr) in the practical service ...


A Printed Yagi Antenna For Cubesat With Multi-Frequency Tilt Operation, Sining Liu, Raad Raad, Panagiotis Theoharis, Faisel Em M Tubbal Jan 2020

A Printed Yagi Antenna For Cubesat With Multi-Frequency Tilt Operation, Sining Liu, Raad Raad, Panagiotis Theoharis, Faisel Em M Tubbal

Faculty of Engineering and Information Sciences - Papers: Part B

In this paper, a printed Yagi antenna with an integrated balun is proposed for CubeSat communications. The printed antenna is mechanically adjustable to realize three functional states at different operating frequencies in the L‐band and S‐band respectively. Three different angle deployments are proposed at 10°, 50° and 90°, so that the antenna operates at three different operating frequencies, namely 1.3 GHz (L‐band), 2.4 GHz (S‐band) and 3 GHz (S‐band). The measured results of the fabricated antenna are well matched with the simulation, having frequencies of 2.82–3.07 GHz, 1.3–1 ...


A Hybrid Network For Large-Scale Action Recognition From Rgb And Depth Modalities, Huogen Wang, Zhanjie Song, Wanqing Li, Pichao Wang Jan 2020

A Hybrid Network For Large-Scale Action Recognition From Rgb And Depth Modalities, Huogen Wang, Zhanjie Song, Wanqing Li, Pichao Wang

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. The paper presents a novel hybrid network for large-scale action recognition from multiple modalities. The network is built upon the proposed weighted dynamic images. It effectively leverages the strengths of the emerging Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) based approaches to specifically address the challenges that occur in large-scale action recognition and are not fully dealt with by the state-of-the-art methods. Specifically, the proposed hybrid network consists of a CNN based component and an RNN based component. Features extracted by the two components are fused through canonical correlation analysis ...


Microstructure Evolution, Lattice Rotation Retardation And Grain Orientation Fragmentation In Commercial Purity Aluminium Deformed By High Pressure Torsion, Yu Liu, Cheng Lu, Hui Wang, Anh Kiet Tieu, Bin Liu Jan 2020

Microstructure Evolution, Lattice Rotation Retardation And Grain Orientation Fragmentation In Commercial Purity Aluminium Deformed By High Pressure Torsion, Yu Liu, Cheng Lu, Hui Wang, Anh Kiet Tieu, Bin Liu

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 The Authors. The behaviour of commercial purity aluminium processed by high pressure torsion is studied for a wide range of strains. The microstructure and texture are used to characterise the HPT deformation. Two different stages of microstructure evolution, i.e. grain fragmentation and grain elongation, are first found before attainment of steady state during HPT deformation. The grain fragmentation is not a linear function of shear strain in HPT. Significant grain refinement mainly occurs in the equivalent strain ranges of ~0 to 1 and ~11 to 32. Preferred simple shear orientations appear and vanish periodically due to the intrinsic ...


An Improved Lstm Model For Behavior Recognition Of Intelligent Vehicles, Haipeng Xiao, Miguel Sotelo, Yulin Ma, Bo Cao, Yuncheng Zhou, Youchun Xu, Rendong Wang, Zhixiong Li Jan 2020

An Improved Lstm Model For Behavior Recognition Of Intelligent Vehicles, Haipeng Xiao, Miguel Sotelo, Yulin Ma, Bo Cao, Yuncheng Zhou, Youchun Xu, Rendong Wang, Zhixiong Li

Faculty of Engineering and Information Sciences - Papers: Part B

© 2013 IEEE. Long Short-Term Memory (LSTM) neural network has been widely used in many applications, but its application in classification of vehicle movement patterns is still limited. In this paper, LSTM is applied to the vehicle behavior recognition problem to identify the left turn, right turn and straight behavior of the vehicle at the intersection. On the basis of the traditional LSTM classification model, this paper transversely merges the input features and then inputs into a LSTM cell to get an improved model. The improved model can make full use of the input information and reduce unnecessary calculations, and the ...


Takagi-Sugeno Fuzzy Model-Based Semi-Active Control For The Seat Suspension With An Electrorheological Damper, Xin Tang, Donghong Ning, Haiping Du, Weihua Li, Weijia Wen Jan 2020

Takagi-Sugeno Fuzzy Model-Based Semi-Active Control For The Seat Suspension With An Electrorheological Damper, Xin Tang, Donghong Ning, Haiping Du, Weihua Li, Weijia Wen

Faculty of Engineering and Information Sciences - Papers: Part B

Numerous research studies have been performed to help develop advanced control algorithms for semi-active seat suspension. This paper experimentally investigates a state observer-based Takagi-Sugeno (T-S) fuzzy controller for a semi-active seat suspension by equipping an electrorheological (ER) damper. A new ER damper prototype is designed, assembled, and tested. Then, a T-S fuzzy model is established to describe the ER seat suspension, which can facilitate the $\text{H}\infty $ controller design considering the multi-objective optimization. A state observer is established and integrated into the controller to estimate the state information for the T-S fuzzy model in real-time. Additionally, the experimental validation ...