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Articles 1 - 30 of 582
Full-Text Articles in Social and Behavioral Sciences
Decompression Wave Speed In Co2 Mixtures: Cfd Modelling With The Gerg-2008 Equation Of State, Alhoush Elshahomi, Cheng Lu, Guillaume Michal, Xiong Liu, Ajit R. Godbole, Phillip Venton
Decompression Wave Speed In Co2 Mixtures: Cfd Modelling With The Gerg-2008 Equation Of State, Alhoush Elshahomi, Cheng Lu, Guillaume Michal, Xiong Liu, Ajit R. Godbole, Phillip Venton
Faculty of Engineering and Information Sciences - Papers: Part A
The development of CO2 pipelines for Carbon Capture and Storage (CCS) raises new questions regarding the control of ductile fracture propagation and fracture arrest toughness criteria. The decompression behaviour in the fluid must be determined accurately in order to estimate the proper pipe toughness. However, anthropogenic CO2 may contain impurities that can modify the fluid decompression characteristics quite significantly. To determine the decompression wave speed in CO2 mixtures, the thermodynamic properties of these mixtures must be determined by using an accurate equation of state. In this paper we present a new decompression model developed using the Computational Fluid Dynamics (CFD) …
Ion Radiography As A Tool For Patient Set-Up & Image Guided Particle Therapy: A Monte Carlo Study, Nicolas Depauw, Marta F. Dias, Anatoly B. Rosenfeld, Joao C. Seco
Ion Radiography As A Tool For Patient Set-Up & Image Guided Particle Therapy: A Monte Carlo Study, Nicolas Depauw, Marta F. Dias, Anatoly B. Rosenfeld, Joao C. Seco
Faculty of Engineering and Information Sciences - Papers: Part A
This study investigate the use of ion radiography as a tool for patient set-up and tumor tracking capabilities for image guided particle therapy (IGPT) using Monte Carlo simulations. One pediatric, two lung and one liver cancer patients were considered in this study. For each patient, 230 and 330 MeV proton, and 500 MeV/nucleon carbon ion pencil beams were simulated through their computed tomography (CT) data set using GEANT4.9.0. Energy, position and direction cosines of each particle were recorded in front and behind the patient. Ion radiographs were subsequently reconstructed using a dedicated in-house software. The image quality was assessed by …
Global Intermodal Liner Shipping Network Design, Zhiyuan Liu, Qiang Meng, Shuaian Wang, Zhuo Sun
Global Intermodal Liner Shipping Network Design, Zhiyuan Liu, Qiang Meng, Shuaian Wang, Zhuo Sun
Faculty of Engineering and Information Sciences - Papers: Part A
This paper presents a holistic analysis for the network design problem of the intermodal liner shipping system. Existing methods for liner shipping network design mainly deal with port-to-port demand. However, most of the demand has inland origins and/or destinations. Thus, it is necessary to cope with inland origin-destination (OD) pairs involving a change in transport mode from inland transportation to maritime shipping. A method is first proposed to convert inland OD demand to port-to-port demand. Then, a framework for global intermodal liner shipping network design is proposed. Finally, the proposed methodology is applied to and numerically verified by a large-scale …
Co-Universal C∗-Algebras Associated To Aperiodic K-Graphs, Sooran Kang, Aidan Sims
Co-Universal C∗-Algebras Associated To Aperiodic K-Graphs, Sooran Kang, Aidan Sims
Faculty of Engineering and Information Sciences - Papers: Part A
We construct a representation of each finitely aligned aperiodic k-graph Λ on the Hilbert space Hapwith basis indexed by aperiodic boundary paths in Λ. We show that the canonical expectation on B(Hap) restricts to an expectation of the image of this representation onto the subalgebra spanned by the final projections of the generating partial isometries. We then show that every quotient of the Toeplitz algebra of the k-graph admits an expectation compatible with this one. Using this, we prove that the image of our representation, which is canonically isomorphic to the Cuntz–Krieger algebra, is co-universal for …
Group Actions On Labeled Graphs And Their C*-Algebras, Teresa Bates, David Pask, Paulette Willis
Group Actions On Labeled Graphs And Their C*-Algebras, Teresa Bates, David Pask, Paulette Willis
Faculty of Engineering and Information Sciences - Papers: Part A
We introduce the notion of the action of a group on a labeled graph and the quotient object, also a labeled graph. We define a skew product labeled graph and use it to prove a version of the Gross–Tucker theorem for labeled graphs. We then apply these results to the C -algebra associated to a labeled graph and provide some applications in non-Abelian duality.
Feasibility Study On The Implementation Of Ieee 802.11 On Cloud-Based Radio Over Fibre Architecture, Sen Zhang, Daniel Franklin
Feasibility Study On The Implementation Of Ieee 802.11 On Cloud-Based Radio Over Fibre Architecture, Sen Zhang, Daniel Franklin
Faculty of Engineering and Information Sciences - Papers: Part A
This paper investigates the throughput performance of the IEEE 802.11 MAC when the physical layer is implemented remotely on a cloud-based SDR platform. An analytical model which considers a non-zero late ACK arrival probability is proposed to analyse throughput performance. Both conventional DCF and the Block ACK enhancement from current IEEE 802.11 standards are analysed using the proposed model. Results show that the network delay variance significantly degrades the performance of conventional DCF while enabling Block ACK significantly reduces this degradation.
Performance Based Seismic Assessment Of Bridges Designed According To Canadian Highway Bridge Design Code, M Neaz Sheikh, Frederic Legeron
Performance Based Seismic Assessment Of Bridges Designed According To Canadian Highway Bridge Design Code, M Neaz Sheikh, Frederic Legeron
Faculty of Engineering and Information Sciences - Papers: Part A
Recent research efforts have focused on the development of performance based seismic design methodologies for structures. However, the seismic design rules prescribed in the current Canadian Highway Bridge Design Code (CHBDC) is based largely on force based design principles. Although a set of performance requirements (performance objectives) for different return period earthquake events have been specified, there is no explicit requirement in the CHBDC to check the attainment of such performance objectives for the designed bridges. Also, no engineering parameters have been assigned to the specified performance objectives. This paper correlates seismic performance objectives (both qualitative and quantitative) with engineering …
Hep-2 Cell Image Classification With Multiple Linear Descriptors, Lingqiao Liu, Lei Wang
Hep-2 Cell Image Classification With Multiple Linear Descriptors, Lingqiao Liu, Lei Wang
Faculty of Engineering and Information Sciences - Papers: Part A
The automatic classification of the HEp-2 cell stain patterns from indirect immunofluorescence images has attracted much attention recently. As an image classification problem, it can be well solved by the state-of-the-art bag-of-features (BoF) model as long as a suitable local descriptor is known. Unfortunately, for this special task, we have very limited knowledge of such a descriptor. In this paper, we explore the possibility of automatically learning the descriptor from the image data itself. Specifically, we assume that a local patch can be well described by a set of linear projections performed on its pixel values. Based on this assumption, …
Outlier Robust Small Area Estimation, Ray Chambers, Hukum Chandra, Nicola Salvati, Nikos Tzavidis
Outlier Robust Small Area Estimation, Ray Chambers, Hukum Chandra, Nicola Salvati, Nikos Tzavidis
Faculty of Engineering and Information Sciences - Papers: Part A
Recently proposed outlier robust small area estimators can be substantially biased when outliers are drawn from a distribution that has a different mean from that of the rest of the survey data. This naturally leads one to consider an outlier robust bias correction for these estimators. We develop this idea, proposing two different analytical mean-squared error estimators for the ensuing bias-corrected outlier robust estimators. Simulations based on realistic outlier-contaminated data show that the bias correction proposed often leads to more efficient estimators. Furthermore, the mean-squared error estimation methods proposed appear to perform well with a variety of outlier robust small …
Asymmetric Stochastic User Equilibrium Problem With Elastic Demand And Link Capacity Constraints, Qiang Meng, Zhiyuan Liu, Shuaian Wang
Asymmetric Stochastic User Equilibrium Problem With Elastic Demand And Link Capacity Constraints, Qiang Meng, Zhiyuan Liu, Shuaian Wang
Faculty of Engineering and Information Sciences - Papers: Part A
This paper focuses on model development and algorithm design for the general stochastic user equilibrium (SUE) problem with elastic demand, asymmetric link travel time functions and link capacity constraints. It first defines the generalised SUE conditions using generalised link travel time. An equivalent variational inequality (VI) model for these generalised SUE conditions is then developed and it is rigorously proven to be monotone and uniform Lipschitzcontinuous. These two properties of the proposed VI model ensure the global convergence of the self-adaptive prediction–correction algorithm incorporating cost averaging method as a solution algorithm. Finally, a numerical example is utilised to assess the …
Purely Infinite Partial Crossed Products, Thierry Giordano, Adam Sierakowski
Purely Infinite Partial Crossed Products, Thierry Giordano, Adam Sierakowski
Faculty of Engineering and Information Sciences - Papers: Part A
Let (A, G, alpha) be a partial dynamical system. We show that there is a bijective corespondence between G-invariant ideals of A and ideals in the partial crossed prroduct A xalpha, r G provided the action is exact and residually topologically free.
Characterizing Artificial Socio-Cognitive Technical Systems, Rob Christiaanse, Aditya K. Ghose, Pablo Noriega, Munindar P. Singh
Characterizing Artificial Socio-Cognitive Technical Systems, Rob Christiaanse, Aditya K. Ghose, Pablo Noriega, Munindar P. Singh
Faculty of Engineering and Information Sciences - Papers: Part A
This paper is an invitation to examine a class of socio-technical systems - artificial socio-cognitive (ASCS) - whose distinctive nature is that they may involve humans as well as artificial agents who interact in a regulated milieu. We propose a characterization of these ASCS and build on that characterization to describe how these systems evolve.
An Approximation Method For Improving Dynamic Network Model Fitting, Nicole B. Carnegie, Pavel N. Krivitsky, David R. Hunter, Steven M. Goodreau
An Approximation Method For Improving Dynamic Network Model Fitting, Nicole B. Carnegie, Pavel N. Krivitsky, David R. Hunter, Steven M. Goodreau
Faculty of Engineering and Information Sciences - Papers: Part A
There has been a great deal of interest recently in the modeling and simulation of dynamic networks, i.e., networks that change over time. One promising model is the separable temporal exponential-family random graph model (ERGM) of Krivitsky and Handcock, which treats the formation and dissolution of ties in parallel at each time step as independent ERGMs. However, the computational cost of fitting these models can be substantial, particularly for large, sparse networks. Fitting cross-sectional models for observations of a network at a single point in time, while still a non-negligible computational burden, is much easier. This paper examines model fitting …
A Probabilistic Analysis Of Human Influence On Recent Record Global Mean Temperature Changes, Phillip Kokic, Steven Crimp, Mark Howden
A Probabilistic Analysis Of Human Influence On Recent Record Global Mean Temperature Changes, Phillip Kokic, Steven Crimp, Mark Howden
Faculty of Engineering and Information Sciences - Papers: Part A
December 2013 was the 346th consecutive month where global land and ocean average surface temperature exceeded the 20th century monthly average, with February 1985 the last time mean temperature fell below this value. Even given these and other extraordinary statistics, public acceptance of human induced climate change and confidence in the supporting science has declined since 2007. The degree of uncertainty as to whether observed climate changes are due to human activity or are part of natural systems fluctuations remains a major stumbling block to effective adaptation action and risk management. Previous approaches to attribute change include qualitative expert-assessment approaches …
Mean Field Variational Bayes For Continuous Sparse Signal Shrinkage: Pitfalls And Remedies, Sarah E. Neville, John Ormerod, M P. Wand
Mean Field Variational Bayes For Continuous Sparse Signal Shrinkage: Pitfalls And Remedies, Sarah E. Neville, John Ormerod, M P. Wand
Faculty of Engineering and Information Sciences - Papers: Part A
We investigate mean field variational approximate Bayesian inference for models that use continuous distributions, Horseshoe. Negative-Exponential-Gamma and Generalized Double Pareto, for sparse signal shrinkage. Our principal finding is that the most natural, and simplest, mean field variational Bayes algorithm can perform quite poorly due to posterior dependence among auxiliary variables. More sophisticated algorithms, based on special functions, are shown to be superior. Continued fraction approximations via Lentz's Algorithm are developed to make the algorithms practical.
Cloud Computing Technology: Reducing Carbon Footprint In Beef Supply Chain, Akshit Singh, Nishikant Mishra, Syed Imran Ali, Nagesh Shukla, Ravi Shankar
Cloud Computing Technology: Reducing Carbon Footprint In Beef Supply Chain, Akshit Singh, Nishikant Mishra, Syed Imran Ali, Nagesh Shukla, Ravi Shankar
Faculty of Engineering and Information Sciences - Papers: Part A
Global warming is an alarming issue for the whole humanity. The manufacturing and food supply chains are contributing significantly to the large-scale carbon emissions. Beef supply chain is one of the segments of food industry having considerable carbon footprint throughout its supply chain. The major emissions are occurring at beef farms in the form of methane and nitrous oxide gases. The other carbon hotspots in beef supply chain are abattoir, processor, logistics and retailer. There is a huge amount of pressure from government authorities to all the business firms to cut down carbon emissions. The different stakeholders of beef supply …
Ultra Wideband Noise Channel Measurement Using A Vector Network Analyzer, Ahmed Moftah Ownalla Alshabo, Peter J. Vial, Montserrat Ros, David Stirling, Muhammad Abu Bakar Sidik
Ultra Wideband Noise Channel Measurement Using A Vector Network Analyzer, Ahmed Moftah Ownalla Alshabo, Peter J. Vial, Montserrat Ros, David Stirling, Muhammad Abu Bakar Sidik
Faculty of Engineering and Information Sciences - Papers: Part A
In this paper, we analyze the measurement of ultra wideband (UWB) noise channels in different indoor environments. All measurements are done using a vector network analyzer (VNA) which allows us to measure the noise channel transfer functions. We find that the noise power of the system is decreased by increasing the intermediate frequency (IF) bandwidth which leads to an increase in time taken to perform measurements of the channels. Also, we measure the environmental noise power and find that it is slightly affected by fluorescent light sources inside the measurement environments. In addition, we find that the environmental noise is …
Fully Nonlinear Curvature Flow Of Axially Symmetric Hypersurfaces, James A. Mccoy, Fatemah Mofarreh, V. -M Wheeler
Fully Nonlinear Curvature Flow Of Axially Symmetric Hypersurfaces, James A. Mccoy, Fatemah Mofarreh, V. -M Wheeler
Faculty of Engineering and Information Sciences - Papers: Part A
Recently, fully nonlinear curvature flow of a certain class of axially symmetric hypersurfaces with boundary conditions time of existence was obtained, in the case of convex speeds (J. A. McCoy et al., Annali di Matematica Pura ed Applicata 1–13, 2013). In this paper we remove the convexity condition on the speed in the case it is homogeneous of degree one in the principal curvatures and the boundary conditions are pure Neumann. Moreover, we classify the singularities of the flow of a larger class of axially symmetric hypersurfaces as Type I. Our approach to remove the convexity requirement on the speed …
An Approach To Ultra-Wideband Channel Calibration Using A Vector Network Analyser, Ahmed Moftah Ownalla Alshabo, David Stirling, Montserrat Ros, Peter J. Vial, Beata J. Wysocki, Tadeusz Wysocki
An Approach To Ultra-Wideband Channel Calibration Using A Vector Network Analyser, Ahmed Moftah Ownalla Alshabo, David Stirling, Montserrat Ros, Peter J. Vial, Beata J. Wysocki, Tadeusz Wysocki
Faculty of Engineering and Information Sciences - Papers: Part A
In this paper, two calibration methods are investigated to determine the most suitable approach for ultra-wideband (UWB) communication channel measurements. The fi rst method is the through, open, short and match (TOSM) calibration technique. The second method is through, refl ection and load calibration technique. Presented experiment results show that the through, refl ection and load calibration process is more precise for calibration of coaxial cables and the UWB channel as clearly seen by increased magnitudes of the channel transfer function. It is also shown that the proposed through, refl ection and load technique leads to an improved larger measured …
The Shrinking Figure Eight And Other Solitons For The Curve Diffusion Flow, Maureen Edwards, Alexander Gerhardt-Bourke, James A. Mccoy, Glen Wheeler, V. -M Wheeler
The Shrinking Figure Eight And Other Solitons For The Curve Diffusion Flow, Maureen Edwards, Alexander Gerhardt-Bourke, James A. Mccoy, Glen Wheeler, V. -M Wheeler
Faculty of Engineering and Information Sciences - Papers: Part A
In this article we investigate the dynamics of special solutions to the surface diffusion flow of idealised ribbons. This reduces to studying the curve diffusion flow for the profile curve of the ribbon. We provide: (1) a complete classification of stationary solutions; (2) qualitative results on shrinkers, translators, and rotators; and (3) an explicit parametrisation of a shrinking figure eight curve.
Computationally Efficient Ontology Usage In Software Requirement Planning, Robert B. K Brown Ph.D, Ghassan Beydoun, Graham Low, William Tibben, F Garcia-Sanchez, Reza Zamani, Rodrigo Martinez-Bejar
Computationally Efficient Ontology Usage In Software Requirement Planning, Robert B. K Brown Ph.D, Ghassan Beydoun, Graham Low, William Tibben, F Garcia-Sanchez, Reza Zamani, Rodrigo Martinez-Bejar
Faculty of Engineering and Information Sciences - Papers: Part A
Understanding the needs of stakeholders and prioritizing requirements are the vital steps in the development of any software application. Enabling tools to support these steps have a critical role in the success of the corresponding software application. Based on such a critical role, this paper presents a computationally efficient ontology selection in software requirement planning. The key point guiding the underlying design is that, once gathered, requirements need to be processed by decomposition towards the generation of a specified systems design. A representational framework allows for the expression of high level abstract conceptions under a single schema, which may then …
Objective Computation Versus Subjective Computation, Nir Fresco
Objective Computation Versus Subjective Computation, Nir Fresco
Faculty of Engineering and Information Sciences - Papers: Part A
The question ‘What is computation?’ might seem a trivial one to many, but this is far from being in consensus in philosophy of mind, cognitive science and even in physics. The lack of consensus leads to some interesting, yet contentious, claims, such as that cognition or even the universe is computational. Some have argued, though, that computation is a subjective phenomenon: whether or not a physical system is computational, and if so, which computation it performs, is entirely a matter of an observer choosing to view it as such. According to one view, which we dub bold anti-realist pancomputationalism, every …
Using Formal Concept Analysis To Create Pathways Through Museum Collections, Tim Wray, Peter Eklund
Using Formal Concept Analysis To Create Pathways Through Museum Collections, Tim Wray, Peter Eklund
Faculty of Engineering and Information Sciences - Papers: Part A
This paper presents A Place for Art - an iPad app that allows users to explore an art collection via semantically linked pathways that are generated using Formal Concept Analysis. The app embraces the information seeking approach of exploration and is based on the idea that showing context and relationships among objects in a museum collection augments an interpretive experience. The fundamental interaction metaphor inherent in A Place for Art relies on Formal Concept Analysis so the interface has embedded within it the semantic clustering features of machine learning in artificial intelligence.
On Complete Target Coverage In Wireless Sensor Networks With Random Recharging Rates, Changlin Yang, Kwan-Wu Chin
On Complete Target Coverage In Wireless Sensor Networks With Random Recharging Rates, Changlin Yang, Kwan-Wu Chin
Faculty of Engineering and Information Sciences - Papers: Part A
A fundamental problem inWireless Sensor Networks (WSNs) is determining the minimum active time of a set of sensor nodes such that they monitor all targets for the maximum time. However, existing solutions do not consider random recharging rates and staled battery level information, resulting in an activation schedule that is not realizable by sensor nodes. Henceforth, we propose a Stochastic Programming (SP) based approach that considers random battery levels. Experimental results show our SP approach achieves 80% of the theoretically achievable coverage lifetime.
3d Shape Measurement Based On Projection Of Triangular Patterns Of Two Selected Frequencies, Pu Cao, Jiangtao Xi, Yanguang Yu, Qinghua Guo, Limei Song
3d Shape Measurement Based On Projection Of Triangular Patterns Of Two Selected Frequencies, Pu Cao, Jiangtao Xi, Yanguang Yu, Qinghua Guo, Limei Song
Faculty of Engineering and Information Sciences - Papers: Part A
In this paper, a temporal shift unwrapping technique is presented for solving the problem of shift wrapping associated with spatial shift estimation (SSE)-based fringe pattern profilometry (FPP). Based on this technique, a novel 3D shape measurement method is proposed, where triangular patterns of two different spatial frequencies are projected. The patterns of the higher frequency are used to implement the FPP, and the one with lower frequency is utilized to achieve shift unwrapping. The proposed method is able to solve the shift unwrapping problem associated with the existing multi-step triangular pattern FPP by projection of an additional fringe pattern. The …
Experimental Study For The Influence Of Surface Characteristics On The Fringe Patterns, Yifan Wei, Jiangtao Xi, Yanguang Yu, Qinghua Guo, Yongkai Yin
Experimental Study For The Influence Of Surface Characteristics On The Fringe Patterns, Yifan Wei, Jiangtao Xi, Yanguang Yu, Qinghua Guo, Yongkai Yin
Faculty of Engineering and Information Sciences - Papers: Part A
Fringe projection profilometry (FPP) has been widely used for three dimensional (3D) imaging and measurement. The fringe acquisition of FPP mainly depends on the diffuse light from the surface of objects, thus the characteristics of object surface have significant influence on phase calculation. One of the essential factors related to phase precision is modulation index, which has a direct relationship with the surface reflectivity. This paper presents a comparative study which focuses on the modulation index of different materials. The distribution of modulation index for different samples is statistical analyzed, which leads to the conclusion that the modulation index is …
On Globally Non-Trivial Almost-Commutative Manifolds, Jord Boeijink, Koen Van Den Dungen
On Globally Non-Trivial Almost-Commutative Manifolds, Jord Boeijink, Koen Van Den Dungen
Faculty of Engineering and Information Sciences - Papers: Part A
Within the framework of Connes’ noncommutative geometry, we define and study globally non-trivial (or topologically non-trivial) almost-commutative manifolds. In particular, we focus on those almost-commutative manifolds that lead to a description of a (classical) gauge theory on the underlying base manifold. Such an almost-commutative manifold is described in terms of a “principal module,” which we build from a principal fibre bundle and a finite spectral triple. We also define the purely algebraic notion of “gauge modules,” and show that this yields a proper subclass of the principal modules. We describe how a principal module leads to the description of a …
Influence Of Coal Particle Size On Coal Adsorption And Desorption Characteristics, Lei Zhang, Naj Aziz, Ting Ren, Jan Nemcik, Shihao Tu
Influence Of Coal Particle Size On Coal Adsorption And Desorption Characteristics, Lei Zhang, Naj Aziz, Ting Ren, Jan Nemcik, Shihao Tu
Faculty of Engineering and Information Sciences - Papers: Part A
Accurate testing coal isotherm can play a significant role in the areas of coal seam gas drainage, outburst control, CO2 geo-sequestration, coalbed methane (CBM) and enhanced coalbed methane recovery (ECBM) etc. The effect of particle size on the CO2 and CH4 sorption capacity of bituminous coal from Illawarra, Australia was investigated at 35°C and at pressure up to 4 MPa. A unique indirect gravimetric apparatus was used to measure the gas adsorption and desorption isotherms of coal of different particle sizes ranging from around 150 urn to 16 mm. Langmuir model was used to analysis the experimental results of all …
Improving Privacy And Security In Decentralized Ciphertext-Policy Attribute-Based Encryption, Jinguang Han, Willy Susilo, Yi Mu, Jianying Zhou, Man Ho Au
Improving Privacy And Security In Decentralized Ciphertext-Policy Attribute-Based Encryption, Jinguang Han, Willy Susilo, Yi Mu, Jianying Zhou, Man Ho Au
Faculty of Engineering and Information Sciences - Papers: Part A
In previous privacy-preserving multi-authority attribute-based encryption (PPMA-ABE) schemes, a user can acquire secret keys from multiple authorities with them knowing his/her attributes and furthermore, a central authority is required. Notably, a user’s identity information can be extracted from his/her some sensitive attributes. Hence, existing PPMAABE schemes cannot fully protect users’ privacy as multiple authorities can collaborate to identify a user by collecting and analyzing his attributes. Moreover, ciphertext-policy ABE (CPABE) is a more efficient public-key encryption where the encryptor can select flexible access structures to encrypt messages. Therefore, a challenging and important work is to construct a PPMA-ABE scheme where …
Empowering Personal Health Records With Cloud Computing: How To Encrypt With Forthcoming Fine-Grained Policies Efficiently, Clementine Gritti, Willy Susilo, Thomas Plantard, Kaitai Liang, Duncan S. Wong
Empowering Personal Health Records With Cloud Computing: How To Encrypt With Forthcoming Fine-Grained Policies Efficiently, Clementine Gritti, Willy Susilo, Thomas Plantard, Kaitai Liang, Duncan S. Wong
Faculty of Engineering and Information Sciences - Papers: Part A
The issue of empowering patients to be well informed with regards to their health records has been well accepted in the community, which is known as the Personal Health Record (PHR). PHR has been believed as the solution for better management of an individual’s health, and as the tool that will empower the patient in correlation with healthcare providers through the ability to provide his/her own medical history. In this work, we aim to take one step further by equipping patients with the ability to “control” the access to their PHR efficiently and easily, by incorporating the emerging cloud technology. …