Social and Behavioral Sciences Commons^™

Fuzzy Extractors For Biometric Identification, Nan Li, Fuchun Guo, Yi Mu, Willy Susilo, Sanjay K. Nepal

Faculty of Engineering and Information Sciences - Papers: Part B

2017 IEEE. Fuzzy extractor provides key generation from biometrics and other noisy data. The generated key is seamlessly usable for any cryptographic applications because its information entropy is sufficient for security. Biometric authentication offers natural and passwordless user authentication in various systems where fuzzy extractors can be used for biometric information security. Typically, a biometric system operates in two modes: verification and identification. However, existing fuzzy extractors does not support efficient user identification. In this paper, we propose a succinct fuzzy extractor scheme which enables efficient biometric identification as well as verification that it satisfies the security requirements. We show …

Game-Based Interventions And Their Impact On Dementia: A Narrative Review, Jiaying Zheng, Xueping Chen, Ping Yu

Faculty of Engineering and Information Sciences - Papers: Part B

Objective: The aim of this review was to examine the efficacy of game-based interventions for people with dementia. Methods: Seven studies that met the inclusion criteria were found in four databases. Their interventions and key findings were analysed and synthesised. Results: Game-based interventions for people with dementia are showing promise for improving cognition, coordination and behavioural and psychological symptoms. The generalisability of the findings is limited by weak methodology and small sample size. Conclusions: Game-based interventions can improve cognition, coordination and behavioural and psychological symptoms for people with dementia. Future research should include methodological improvement and practice guideline development.

Robust Optimization Of Vmat For Lung Cancer: Dosimetric Implications Of Motion Compensation Techniques, Ben Archibald-Heeren, Mikel Byrne, Yunfei Hu, Meng Cai, Yang Wang

Faculty of Engineering and Information Sciences - Papers: Part B

In inverse planning of lung radiotherapy, techniques are required to ensure dose coverage of target disease in the presence of tumor motion as a result of respiration. A range of published techniques for mitigating motion effects were compared for dose stability across 5 breath cycles of ±2 cm. Techniques included planning target volume (PTV) expansions, internal target volumes with (OITV) and without tissue override (ITV), average dataset scans (ADS), and mini-max robust optimization. Volumetric arc therapy plans were created on a thorax phantom and verified with chamber and film measurements. Dose stability was compared by DVH analysis in calculations across …

A Unified Robust Motion Controller Design For Series Elastic Actuators, Emre Sariyildiz, Gong Chen, Haoyong Yu

Faculty of Engineering and Information Sciences - Papers: Part B

Series Elastic Actuators (SEAs) have several mechanical superiorities over conventional stiff and non-back-drivable actuators, e.g., lower reflected inertia at output, greater shock tolerance, low cost force measurement, energy storage, safety, and so on. However, their applications generally suffer from performance limitations, particularly in position control, due to insufficient controller designs. This paper proposes a unified Active Disturbance Rejection (ADR) motion controller for the robust position and force control problems of SEAs by using Differential Flatness (DF) and Disturbance Observer (DOb). It can suppress not only matched but also mismatched disturbances. Robust state and control input references are systematically generated in …

Performance Simulation Of A Ground Source Heat Pump System Integrated With Solar Photovoltaic Thermal Collectors For Residential Application, Lei Xia, Zhenjun Ma, Georgios Kokogiannakis

Faculty of Engineering and Information Sciences - Papers: Part B

This paper presents the simulation and performance evaluation of a ground source heat pump (GSHP) system integrated with water-based solar photovoltaic thermal (PVT) collectors for residential buildings. A dynamic simulation system is developed using TRNSYS and used to facilitate the performance evaluation of the system. A 20-year life-time performance simulation is performed under three operation scenarios with different sizes of the PVT collectors. The results showed that the performance of the system is highly dependent on the size of the PVT collectors. Furthermore, an economic analysis is carried out to determine the optimum size of the PVT collectors for the …

Surface Film Adsorption And Lubricity Of Soybean Oil In-Water Emulsion And Triblock Copolymer Aqueous Solution: A Comparative Study, Reza Taheri, Buyung Kosasih, Hongtao Zhu, Anh Kiet Tieu

Faculty of Engineering and Information Sciences - Papers: Part B

This paper investigates the surface film adsorption and lubricity of two different types of potential environmentally friendly cold metal forming lubricants: soybean vegetable oil in water VO/W emulsions and triblock copolymer aqueous solutions. The lubricants have different visual appearance, surface film adsorption characteristic, lubricity and surface cleaning behaviour. The effects of concentration, temperature and emulsification ultrasonic energy (for VO/W emulsion) are studied. The result shows that the soybean VO/W emulsions have stronger adsorption, superior lubricity and anti-wear property compared to the copolymer solutions. The effect of temperature is investigated at 30 °C and 65 °C which are below and above …

An Event Group Based Classification Framework For Multi-Variate Sequential Data, Chao Sun, David Stirling

Faculty of Engineering and Information Sciences - Papers: Part B

Decision tree algorithms were not traditionally considered for sequential data classification, mostly because feature generation needs to be integrated with the modelling procedure in order to avoid a localisation problem. This paper presents an Event Group Based Classification (EGBC) framework that utilises an X-of-N (XoN) decision tree algorithm to avoid the feature generation issue during the classification on sequential data. In this method, features are generated independently based on the characteristics of the sequential data. Subsequently an XoN decision tree is utilised to select and aggregate useful features from various temporal and other dimensions (as event groups) for optimised classification. …

A Comparison Study For Supervised Machine Learning Models In Cancer Classification, Huaming Chen, Hong Zhao, Lei Wang, Jiangning Song, Jun Shen

Faculty of Engineering and Information Sciences - Papers: Part B

No abstract provided.

A Consumer-Oriented Decision-Making Approach For Selecting The Cloud Storage Service: From Paprika Perspective, Salim Al Isma'ili, Mengxiang Li, Jun Shen, Qiang He

Faculty of Engineering and Information Sciences - Papers: Part B

In recent years there is a growth in the number of companies that offers cloud storage solutions. From user’s perspectives, it is becoming a challenging task to choose which cloud storage to use and from whom, based on user’s needs. In this context, no framework can evaluate the decision criteria for selection of cloud storage services. This paper proposes a solution to this problem by identifying the cloud storage criteria and introduces the PAPRIKA approach for measuring the criteria of cloud storage based on client’s preference. This work demonstrated the applicability of the framework (decision model) by testing it with …

Closed Form Expressions For Two Harmonic Continued Fractions, Martin W. Bunder, Joseph Tonien

Faculty of Engineering and Information Sciences - Papers: Part B

No abstract provided.

Two Infinite Families Of Symmetric Hadamard Matrices, Jennifer Seberry, N A. Balonin

Faculty of Engineering and Information Sciences - Papers: Part B

No abstract provided.

Towards Merging Binary Integer Programming Techniques With Genetic Algorithms, Reza R. Zamani

Faculty of Engineering and Information Sciences - Papers: Part B

No abstract provided.

Skeleton-Based Action Recognition Using Lstm And Cnn, Chuankun Li, Pichao Wang, Shuangyin Wang, Yonghong Hou, Wanqing Li

Faculty of Engineering and Information Sciences - Papers: Part B

Recent methods based on 3D skeleton data have achieved outstanding performance due to its conciseness, robustness, and view-independent representation. With the development of deep learning, Convolutional Neural Networks (CNN) and Long Short Term Memory (LSTM)-based learning methods have achieved promising performance for action recognition. However, for CNN-based methods, it is inevitable to loss temporal information when a sequence is encoded into images. In order to capture as much spatial-temporal information as possible, LSTM and CNN are adopted to conduct effective recognition with later score fusion. In addition, experimental results show that the score fusion between CNN and LSTM performs better …

The Demon Drink, Mark Nelson, Peter Hagedoorn, Annette L. Worthy

Faculty of Engineering and Information Sciences - Papers: Part B

We provide a qualitative analysis of a system of nonlinear differential equations that model the spread of alcoholism through a population. Alcoholism is viewed as an infectious disease and the model treats it within a sir framework. The model exhibits two generic types of steady-state diagram. The first of these is qualitatively the same as the steady-state diagram in the standard sir model. The second exhibits a backwards transcritical bifurcation. As a consequence of this, there is a region of bistability in which a population of problem drinkers can be sustained, even when the reproduction number is less than one. …

The Classification Of Some Generalised Bunce-Deddens Algebras, James Rout

Faculty of Engineering and Information Sciences - Papers: Part B

We use K-theory to prove an isomorphism theorem for a large class of generalised Bunce–Deddens algebras constructed by Kribs and Solel from a directed graph E and a sequence ω of positive integers. In particular, we compute the torsion-free component of the K0-group for a class of generalised Bunce–Deddens algebras to show that supernatural numbers are a complete invariant for this class.

Weak Lensing Magnification Of Sparcs Galaxy Clusters, A Tudorica, H Hildebrandt, M Tewes, Henk Hoekstra, C Morrison, Adam Muzzin, G Wilson, H Yee, Christopher E. Lidman, A Hicks, J Nantais, T Erben, R Van Der Burg, R Demarco

Faculty of Engineering and Information Sciences - Papers: Part B

Context. Measuring and calibrating relations between cluster observables is critical for resource-limited studies. The mass–richness relation of clusters offers an observationally inexpensive way of estimating masses. Its calibration is essential for cluster and cosmological studies, especially for high-redshift clusters. Weak gravitational lensing magnification is a promising and complementary method to shear studies, that can be applied at higher redshifts.

Aims. We aim to employ the weak lensing magnification method to calibrate the mass–richness relation up to a redshift of 1.4. We used the Spitzer Adaptation of the Red-Sequence Cluster Survey (SpARCS) galaxy cluster candidates (0.2 < z < 1.4) and optical data from the Canada France Hawaii Telescope (CFHT) to test whether magnification can be effectively used to constrain the mass of high-redshift clusters.

Methods. Lyman-break galaxies (LBGs) …

Variable Speed Control Of Wind Turbines Based On The Quasi-Continuous High-Order Sliding Mode Method, Yanwei Jing, Hexu Sun, Lei Zhang, Tieling Zhang

Faculty of Engineering and Information Sciences - Papers: Part B

The characteristics of wind turbine systems such as nonlinearity, uncertainty and strong coupling, as well as external interference, present great challenges in wind turbine controller design. In this paper, a quasi-continuous high-order sliding mode method is used to design controllers due to its strong robustness to external disturbances, unmodeled dynamics and parameter uncertainties. It can also effectively suppress the chattering toward which the traditional sliding mode control method is ineffective. In this study, the strategy of designing speed controllers based on the quasi-continuous high order sliding mode method is proposed to ensure the wind turbine works well in different wind …

A Novel Nickel Nanowire Based Magnetorheological Material, Zengzilu Xia, Xiaoxiao Wu, Gangrou Peng, Li Wang, Weihua Li, Weijia Wen

Faculty of Engineering and Information Sciences - Papers: Part B

The aim of this work is to fabricate and investigate nickel nanowires (NiNWs) as a novel magnetorheological material and determine how the aspect ratio of these magnetic particles influences its magnetic properties. The latest methods for synthesizing NiNWs and nickel nanospheres (NiNSs) are presented and the corresponding magnetorheological fluids (MRF) are obtained. Materials were characterized so that the properties of NiNWs could be compared to NiNSs. As different size NiNWs were fabricated, their saturation magnetization values increased as the size increased. Moreover, MRF containing NiNWs processed shear stress 15 times as strong as the one with the same volume of …

The Effect Of Imputing Missing Clinical Attribute Values On Training Lung Cancer Survival Prediction Model Performance, Mohamed S. Barakat, Matthew Field, Aditya K. Ghose, David Stirling, Lois C. Holloway, Shalini K. Vinod, Andre Dekker, David Thwaites

Faculty of Engineering and Information Sciences - Papers: Part B

According to the estimations of the World Health Organization and the International Agency for Research in Cancer, lung cancer is the most common cause of death from cancer worldwide. The last few years have witnessed a rise in the attention given to the use of clinical decision support systems in medicine generally and in cancer in particular. These can predict patients' likelihood of survival based on analysis of and learning from previously treated patients. The datasets that are mined for developing clinical decision support functionality are often incomplete, which adversely impacts the quality of the models developed and the decision …

Breast Cancer Diagnosis In Dce-Mri Using Mixture Ensemble Of Convolutional Neural Networks, Reza Rasti, Mohammad Teshnehlab, Son Lam Phung

Faculty of Engineering and Information Sciences - Papers: Part B

This work addresses a novel computer-aided diagnosis (CAD) system in breast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). The CAD system is designed based on a mixture ensemble of convolutional neural networks (ME-CNN) to discriminate between benign and malignant breast tumors. The ME-CNN is a modular and image-based ensemble, which can stochastically partition the high-dimensional image space through simultaneous and competitive learning of its modules. The proposed system was assessed on our database of 112 DCE-MRI studies including solid breast masses, using a wide range of classification measures. The ME-CNN model composed of three CNN experts and one convolutional gating network …

Etched Polymer Fibre Bragg Gratings And Their Biomedical Sensing Applications, Ginu Rajan, Kishore Bhowmik, Jiangtao Xi, Gang-Ding Peng

Faculty of Engineering and Information Sciences - Papers: Part B

Bragg gratings in etched polymer fibres and their unique properties and characteristics are discussed in this paper. Due to the change in material and mechanical properties of the polymer fibre through etching, Bragg gratings inscribed in such fibres show high reflectivity and enhanced intrinsic sensitivity towards strain, temperature, and pressure. The short-term and long-term stability of the gratings and the effect of hysteresis on the dynamic characteristics are also discussed. The unique properties and enhanced intrinsic sensitivity of etched polymer fibre Bragg grating are ideal for the development of high-sensitivity sensors for biomedical applications. To demonstrate their biomedical sensing capabilities, …

Fault Diagnosis Using Kernel Principal Component Analysis For Hot Strip Mill, Fei Zhang, Shengyue Zong, Zhi Ling

Faculty of Engineering and Information Sciences - Papers: Part B

In the field of hot rolling process monitoring, the activation of non-linear dynamic behaviour may render the procedure of fault diagnosis more difficult. Principal component analysis (PCA) is known as a popular method for diagnosis but as it is basically a linear method, it may pass over some useful non-linear features of the system behaviour. One possible extension of PCA is kernel PCA (KPCA), owing to the use of non-linear kernel functions that allow introduction of non-linear dependences between variables. The objective of this study is to address the problem of fault diagnosis (in terms of non-linear activation) in hot …

Vibration Attenuation At Rail Joints Through Under Sleeper Pads, Sakdirat Kaewunruen, Akira Aikawa, Alex M. Remennikov

Faculty of Engineering and Information Sciences - Papers: Part B

Modern railway tracks require electrification to power the trains and signaling systems to detect near real-time location of trains on railway networks. Such systems require the rail to carry and return the residual electricity back to substation, while enable signals to transfer within a track circuit. This track circuit requires rail jo ints to divide and insulate each loop of the circuit. Such the rail joints often generate impact transient dynamics to track systems. This paper presents the filed investigation into the vibration attenuation characteristic of under sleeper pads (USPs), which are the component installed under the concrete sleepers generally …

Predicting The Motions And Forces Of Wearable Robotic Systems Using Optimal Control, Matthew Millard, Manish Sreenivasa, Katja Mombaur

Faculty of Engineering and Information Sciences - Papers: Part B

Wearable robotic systems are being developed to prevent injury to the low back. Designing a wearable robotic system is challenging because it is difficult to predict how the exoskeleton will affect the movement of the wearer. To aid the design of exoskeletons, we formulate and numerically solve an optimal control problem (OCP) to predict the movements and forces of a person as they lift a 15 kg box from the ground both without (human-only OCP) and with (with-exo OCP) the aid of an exoskeleton. We model the human body as a sagittal-plane multibody system that is actuated by agonist and …

Shorter South Coast Train Transit Times, Max Michell, Philip G. Laird

Faculty of Engineering and Information Sciences - Papers: Part B

The paper outlines the development of the South Coast railway linking Sydney through Wollongong to Bomaderry that was completed in 1893 as single track for most of its length. During the 1914-1920 period, duplication and grade easing between Waterfall and Coacliff was completed at the expense of 4.96 km of additional distance and with continuous tight radius curves. This paper starts from the premise that a 60 minute journey time between Sydney and Wollongong is seen as a 21st Century commuting expectation. The authors look at the achievable gains for train operations arising from realignment through the most difficult section …

Economic-Emission Dispatch With Semidefinite Programming And Rational Function Approximations, Abimbola Jubril, Philip O. Ogunbona

Faculty of Engineering and Information Sciences - Papers: Part B

The emission function associated with the economic-emission dispatch prob- lem contains exponential functions that model the emission pollutants. This paper presents a strategy of solving the economic-emission dispatch problem whereby the ex- ponential function is approximated by a rational function that permits reduction to a standard polynomial optimization problem. This is reformulated as a hierarchy of semidefinite relaxation problems using the moment theory and the resulting SDP prob- lem is solved. Different degrees of rational functional approximation were considered. The approach was tested on the IEEE 30-bus test systems to investigate its effectiveness. Solutions obtained were compared with those from …

Fracture Toughness Measurement For Aluminium 6061-T6 Using Notched Round Bars, Alan K. Hellier, P Chaphalkar, Gangadhara B. Prusty

Faculty of Engineering and Information Sciences - Papers: Part B

Current standard testing methods for determining plane strain fracture toughness (KIc), such as ASTM E399 and ASTM E1820, require a prior estimate of KIc, plus the specimens are large, involve a lot of machining and need fatigue pre-cracking. There is therefore a desire to develop new testing techniques which are simple, as well as cost and time effective. While the use of tensile notched round bar (NRB) test pieces is not novel, dating back to a conference paper by Brown in 1975, relatively few authors have so far attempted this. A series of such tests has been conducted on aluminium …

Railway Turnout Failure Mode Analysis, Hui Jun Li, M Carkagis, Alan K. Hellier, Hongtao Zhu, J Mcleod, S Pannila

Faculty of Engineering and Information Sciences - Papers: Part B

A railway turnout, switch or set of points is a mechanical installation enabling railway trains to be guided from one track to another, such as at a railway junction, or where a spur or siding branches off. The turnout consists of the pair of linked tapering rails, known as points, lying between the diverging outer rails. A section of New South Wales' railways rail turnout was removed, since testing revealed that it had become defective and no longer fit-for-purpose. University of Wollongong was commissioned to investigate the failure mode(s) of the track section, and to provide a detailed report on …

Fate Of Trace Organic Contaminants In Oxic-Settling-Anoxic (Osa) Process Applied For Biosolids Reduction During Wastewater Treatment, Galilee U. Semblante, Faisal I. Hai, James A. Mcdonald, Stuart J. Khan, Mark Nelson, Duu-Jong Lee, William E. Price, Long D. Nghiem

Faculty of Engineering and Information Sciences - Papers: Part B

This study investigated the fate of trace organic contaminants (TrOCs) in an oxic-settling-anoxic (OSA) process consisting of a sequencing batch reactor (SBR) with external aerobic/anoxic and anoxic reactors. OSA did not negatively affect TrOC removal of the SBR. Generally, low TrOC removal was observed under anoxic and low substrate conditions, implicating the role of co-metabolism in TrOC biodegradation. Several TrOCs that were recalcitrant in the SBR (e.g., benzotriazole) were biodegraded in the external aerobic/anoxic reactor. Some hydrophobic TrOCs (e.g., triclosan) were desorbed in the anoxic reactor possibly due to loss of sorption sites through volatile solids destruction. In OSA, the …

Continuous Transformation Of Chiral Pharmaceuticals In Enzymatic Membrane Bioreactors For Advanced Wastewater Treatment, Ngoc Luong Nguyen, Faisal I. Hai, James A. Mcdonald, Stuart J. Khan, William E. Price, Long D. Nghiem

Faculty of Engineering and Information Sciences - Papers: Part B

This study demonstrates continuous enantiomeric inversion and further biotransformation of chiral profens including ibuprofen, naproxen and ketoprofen by an enzymatic membrane bioreactor (EMBR) dosed with laccase. The EMBR showed non-enantioselective transformations, with high and consistent transformation of both (R)- and (S)-ibuprofen (93 ± 6%, n = 10), but lower removals of both enantiomers of naproxen (46 ± 16%, n = 10) and ketoprofen (48 ± 17%, n = 10). Enantiomeric analysis revealed a bidirectional but uneven inversion of the profens, for example 14% inversion of (R)- to (S)- compared to 4% from …