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Articles 961 - 990 of 2936
Full-Text Articles in Social and Behavioral Sciences
Improved Correction For The Tissue Fraction Effect In Lung Pet/Ct Imaging, Beverley F. Holman, Vesna Cuplov, Lynn Millner, Brian F. Hutton, Toby M. Maher, Ashley M. Groves, Kris Thielemans
Improved Correction For The Tissue Fraction Effect In Lung Pet/Ct Imaging, Beverley F. Holman, Vesna Cuplov, Lynn Millner, Brian F. Hutton, Toby M. Maher, Ashley M. Groves, Kris Thielemans
Faculty of Engineering and Information Sciences - Papers: Part A
Recently, there has been an increased interest in imaging different pulmonary disorders using PET techniques. Previous work has shown, for static PET/CT, that air content in the lung influences reconstructed image values and that it is vital to correct for this 'tissue fraction effect' (TFE). In this paper, we extend this work to include the blood component and also investigate the TFE in dynamic imaging. CT imaging and PET kinetic modelling are used to determine fractional air and blood voxel volumes in six patients with idiopathic pulmonary fibrosis. These values are used to illustrate best and worst case scenarios when …
Application Of Saturated Core Fault Current Limiters To Interconnected Distribution Networks, Sasareka Gunawardana Mudalige, Sarath Perera, Jeffrey W. Moscrop
Application Of Saturated Core Fault Current Limiters To Interconnected Distribution Networks, Sasareka Gunawardana Mudalige, Sarath Perera, Jeffrey W. Moscrop
Faculty of Engineering and Information Sciences - Papers: Part A
There is an increasing need for electricity utilities to limit fault levels in critical locations in power systems so that existing switchgear can continue to function as expected. This is particularly true in electrical distribution systems, where the increased penetration of renewable and decentralised generation is forcing the network to be highly interconnected in order to allow for higher integration capacity and reliable operation. Consequently, the short-circuit currents in distribution systems have increased significantly. In this background, application of fault current limiting devices is one of the solutions that is being considered by the Distribution Network Service Providers (DNSPs). A …
Simple Structure For Reactive Power Control Of Ac Photovoltaic Modules, Viet Thang Tran, Danny Sutanto, Kashem M. Muttaqi
Simple Structure For Reactive Power Control Of Ac Photovoltaic Modules, Viet Thang Tran, Danny Sutanto, Kashem M. Muttaqi
Faculty of Engineering and Information Sciences - Papers: Part A
The objective of this paper is to propose a simple structure for reactive power control (RPC) of AC Photovoltaic (AC PV) modules. With the proposed structure, a cost-effective microcontroller can be adopted to achieve an effective reactive power control in order to support the grid voltage within acceptable bounds by absorbing or supplying reactive power. Moreover, the sliding mode control (SMC) is adopted to enhance the current control's dynamic response and reduce the current harmonic distortion. Comprehensive simulation of an AC PV module connected to grid using PSIM software with different operation modes are used to demonstrate the control strategy. …
Improving Fault Ride-Through Of Three Phase Voltage Source Inverter During Symmetrical Fault Using Dc Link Fault Current Limiter, Mehrdad Tarafdar Hagh, Amin Jalilian, Seyed Behzad Naderi, Michael Negnevitsky, Kashem M. Muttaqi
Improving Fault Ride-Through Of Three Phase Voltage Source Inverter During Symmetrical Fault Using Dc Link Fault Current Limiter, Mehrdad Tarafdar Hagh, Amin Jalilian, Seyed Behzad Naderi, Michael Negnevitsky, Kashem M. Muttaqi
Faculty of Engineering and Information Sciences - Papers: Part A
The majority of distributed generation (DG) units utilize three phase voltage source inverter (VSI) to exchange electric power with the utility grid. The VSI employs semiconductor devices (SDs) with limited current withstand capabilities which are very vulnerable during grid faults. However, to ensure a secure and reliable operation of power systems at high penetration level of the DGs, most of the new grid codes worldwide require that the VSIs must have fault ride-Through (FRT) capability. This paper presents a DC link fault current limiter (DLFCL) based VSI FRT scheme to improve its FRT capability. In the proposed scheme, the DLFCL …
Voltage Sag Compensation Of Point Of Common Coupling For Low Voltage Ride-Through Enhancment Of Inverter Interfaced Dg Using Bridge Type Fcl, Seyed Behzad Naderi, Michael Negnevitsky, Amin Jalilian, Mehrdad Tarafdar Hagh, Kashem M. Muttaqi
Voltage Sag Compensation Of Point Of Common Coupling For Low Voltage Ride-Through Enhancment Of Inverter Interfaced Dg Using Bridge Type Fcl, Seyed Behzad Naderi, Michael Negnevitsky, Amin Jalilian, Mehrdad Tarafdar Hagh, Kashem M. Muttaqi
Faculty of Engineering and Information Sciences - Papers: Part A
Fully converter wind turbines and solar power utilise an inverter to connect to grid. The inverters are vulnerable to voltage sag in their terminal due to its damaging effect on semiconductor self-Turnoff switches. In this paper, a bridge-Type fault current limiter (B-FCL) is proposed for low voltage ride-Through (LVRT) of the inverters during different types of fault with simple control system. The proposed B-FCL is capable to compensate the voltage sag in point of common coupling (PCC) and makes a safe condition not only for the inverter but also for any equipment which has been connected to the PCC in …
Clustered Multi-Channel Dereverberation For Ad Hoc Microphone Arrays, Shahab Pasha, Christian H. Ritz
Clustered Multi-Channel Dereverberation For Ad Hoc Microphone Arrays, Shahab Pasha, Christian H. Ritz
Faculty of Engineering and Information Sciences - Papers: Part A
A novel unsupervised multi-channel dereverberation approach in ad-hoc microphone arrays context based on removing microphones with relatively higher level of reverberation from the array and applying the dereverberation method on a subset of microphones with lower level of reverberation is proposed in this paper. This approach does not require any prior information about the number of microphones and their relative locations, however based on kurtosis of Linear Prediction (LP) residual signals, microphones located close to the active source are detected and utilized for the dereverberation process. The proposed method is a clustered enhancement method which can be applied with any …
Arcgis V.10 Landslide Susceptibility Data Mining Add-In Tool Integrating Data Mining And Gis Techniques To Model Landslide Susceptibility, Darshika Palamakumbure, David Stirling, Phillip N. Flentje, Robin N. Chowdhury
Arcgis V.10 Landslide Susceptibility Data Mining Add-In Tool Integrating Data Mining And Gis Techniques To Model Landslide Susceptibility, Darshika Palamakumbure, David Stirling, Phillip N. Flentje, Robin N. Chowdhury
Faculty of Engineering and Information Sciences - Papers: Part A
Landslide susceptibility modeling is an essential early step towards managing landslide risk. A minimum of $4.8 million is lost due to landslide related damages every year in Illawara region of Australia. At present, Data mining and knowledge discovery techniques are becoming popular in building landslide susceptibility models due to their enhanced predictive performances. Until now, the lack of tools to undertake data extraction and making the predictions have limited the applicability of this novel technique in landslide model building. This paper discusses the development of the LSDM (Landslide Susceptibility Data Mining) toolbar which was designed to utilize machine learning techniques …
A New Approach To Reduce The Non-Linear Characteristics Of A Stressed Power System By Using The Normal Form Technique In The Control Design Of The Excitation System, Hadi Lomei, Danny Sutanto, Kashem M. Muttaqi, Mohsen Assili
A New Approach To Reduce The Non-Linear Characteristics Of A Stressed Power System By Using The Normal Form Technique In The Control Design Of The Excitation System, Hadi Lomei, Danny Sutanto, Kashem M. Muttaqi, Mohsen Assili
Faculty of Engineering and Information Sciences - Papers: Part A
In this paper, a new approach is presented to reduce the nonlinear characteristics of a stressed power system by reducing its second-order modal interaction through retuning some parameters of the generator excitation system. In order to determine the second-order modal interaction of the system, a new index on nonlinearity is developed using normal form theory. Using the proposed index of nonlinearity, a sensitivity function is formed to indicate the most effective excitation system parameters in the nonlinear behavior of the system. These dominant parameters are tuned to reduce the second-order modal interaction of the system and to reduce the index …
Dce-Mri For Pre-Treatment Prediction And Post-Treatment Assessment Of Treatment Response In Sites Of Squamous Cell Carcinoma In The Head And Neck, Ann D. King, Steven Kwok Keung Chow, Kwok-Hung Yu, Frankie Kwok Fai Mo, David K. W. Yeung, Jing Yuan, Benjamin King Hong Law, Kunwar S. Bhatia, Alexander C. Vlantis, Anil T. Ahuja
Dce-Mri For Pre-Treatment Prediction And Post-Treatment Assessment Of Treatment Response In Sites Of Squamous Cell Carcinoma In The Head And Neck, Ann D. King, Steven Kwok Keung Chow, Kwok-Hung Yu, Frankie Kwok Fai Mo, David K. W. Yeung, Jing Yuan, Benjamin King Hong Law, Kunwar S. Bhatia, Alexander C. Vlantis, Anil T. Ahuja
Faculty of Engineering and Information Sciences - Papers: Part A
Background and Purpose It is important to identify patients with head and neck squamous cell carcinoma (SCC) who fail to respond to chemoradiotherapy so that they can undergo post-treatment salvage surgery while the disease is still operable. This study aimed to determine the diagnostic performance of dynamic contrast enhanced (DCE)-MRI using a pharmacokinetic model for pre-treatment predictive imaging, as well as post-treatment diagnosis, of residual SCC at primary and nodal sites in the head and neck. Material and Methods Forty-nine patients with 83 SCC sites (primary and/or nodal) underwent pre-treatment DCEMRI, and 43 patients underwent post-treatment DCE-MRI, of which 33 …
Power Generation Analysis Of Powerwindow, A Linear Wind Generator, Using Computational Fluid Dynamic Simulations, Seyed A. Jafari, Farzad Safaei, Buyung Kosasih, K C. Kwok
Power Generation Analysis Of Powerwindow, A Linear Wind Generator, Using Computational Fluid Dynamic Simulations, Seyed A. Jafari, Farzad Safaei, Buyung Kosasih, K C. Kwok
Faculty of Engineering and Information Sciences - Papers: Part A
A new linear wind generator (LWG), named PowerWindow, is introduced. The modular and scalable LWG is capable of generating power in low wind velocity condition, and hence can be an effective and safe power generator in built environments. The aerodynamic mechanism of the LWG power generation is elucidated using computational fluid dynamic (CFD) simulations, and the results are validated against the experimental data obtained from the prototype wind tunnel tests. The simulations provide important insights into the flow field in and around LWG particularly over the front and rear blades and how each one contributes to the power generation. This …
Target Tracking Algorithm Using Angular Point Matching Combined With Compressive Tracking, Jing Luo, Tingting Dong, Chunyuan Zi, Chunbo Xiu, Huixin Tian, Jiangtao Xi
Target Tracking Algorithm Using Angular Point Matching Combined With Compressive Tracking, Jing Luo, Tingting Dong, Chunyuan Zi, Chunbo Xiu, Huixin Tian, Jiangtao Xi
Faculty of Engineering and Information Sciences - Papers: Part A
To solve the problems of tracking errors such as target missing that emerged in compressive tracking (CT) algorithm due to factors such as pose variation, illumination change, and occlusion, a novel tracking algorithm combined angular point matching with compressive tracking (APMCCT) was proposed. A sparse measurement matrix was adopted to extract the Haar-like features. The offset of the predicted target position was integrated into the angular point matching, and the new target position was calculated. Furthermore, the updating mechanism of the template was optimized. Experiments on different video sequences have shown that the proposed APMCCT performs better than CT algorithm …
Logarithmic Size Ring Signatures Without Random Oracles, Clementine Gritti, Willy Susilo, Thomas Plantard
Logarithmic Size Ring Signatures Without Random Oracles, Clementine Gritti, Willy Susilo, Thomas Plantard
Faculty of Engineering and Information Sciences - Papers: Part A
Ring signatures enable a user to anonymously sign a message on behalf of group of users. In this paper, we propose the first ring signature scheme whose size is O(log2N), where N is the number of users in the ring. We achieve this result by improving Chandran et al.'s ring signature scheme presented at ICALP 2007. Our scheme uses a common reference string and non-interactive zero-knowledge proofs. The security of our scheme is proven without requiring random oracles.
95% Prediction Regions: Multivariate Uncertainty Quantification For Retrieved Atmospheric States, Noel A. Cressie, Sandy Burden
95% Prediction Regions: Multivariate Uncertainty Quantification For Retrieved Atmospheric States, Noel A. Cressie, Sandy Burden
Faculty of Engineering and Information Sciences - Papers: Part A
Poster presentation
Multiplicative Modelling Of Four-Phase Microbial Growth, María Jesús Munoz-Lopez, Maureen P. Edwards, Ulrike Schumann, Robert S. Anderssen
Multiplicative Modelling Of Four-Phase Microbial Growth, María Jesús Munoz-Lopez, Maureen P. Edwards, Ulrike Schumann, Robert S. Anderssen
Faculty of Engineering and Information Sciences - Papers: Part A
Microbial growth curves, recording the four-phases (lag, growth, stationary, decay) of the dynamics of the surviving microbes, are regularly used to support decision-making in a wide variety of health related activities including food safety and pharmaceutical manufacture. Often, the decision-making reduces to a simple comparison of some particular feature of the four-phases, such as the time at which the number of surviving microbes reaches a maximum. Consequently, in order to obtain accurate estimates of such features, the first step is the determination, from experimental measurements, of a quantitative characterization (model) of the four-phases of the growth-decay dynamics involved, which is …
Multiple Semiclassical States For Coupled Schrödinger-Poisson Equations With Critical Exponential Growth, Zhisu Liu, Shangjiang Guo, Yanqin Fang
Multiple Semiclassical States For Coupled Schrödinger-Poisson Equations With Critical Exponential Growth, Zhisu Liu, Shangjiang Guo, Yanqin Fang
Faculty of Engineering and Information Sciences - Papers: Part A
In this paper, we study the multiplicity of positive solutions for a class of Schrödinger-Poisson systems. Working in a variational setting, we prove the existence and multiplicity of positive solutions for the system when the Plank's constant is small and the potential satisfies some suitable conditions. We show that the number of positive solutions depends on the profile of the potential and that each solution concentrates around its corresponding global minimum point of the potential in the semi-classical limit. We also study the exponential decay.
Electro-Tactile Feedback System For A Prosthetic Hand, Daniel Pamungkas, Koren Ward
Electro-Tactile Feedback System For A Prosthetic Hand, Daniel Pamungkas, Koren Ward
Faculty of Engineering and Information Sciences - Papers: Part A
Without the sense of touch, amputees with prosthetic hands can have difficulty holding and manipulating objects, especially when a task requires some degree of skill and tactile feedback to perform. To equip prosthetic hand users with touch sensing and tactile feedback, researchers have been experimenting with various types of force and/or tactile sensors together with various methods for delivering the tactile information to the brain. Although some success has been achieved recently with force sensors and implanted electrodes, these systems are expensive, surgically invasive and can represent an infection risk where cables emerge through the skin. Also, non-invasive tactile feedback …
Reconstructing Highly Accurate Relative Stopping Powers In Proton Computed Tomography, Blake Schultze, Paniz Karbasi, Valentina Giacometti, Tia E. Plautz, Keith Schubert, Reinhard W. Schulte
Reconstructing Highly Accurate Relative Stopping Powers In Proton Computed Tomography, Blake Schultze, Paniz Karbasi, Valentina Giacometti, Tia E. Plautz, Keith Schubert, Reinhard W. Schulte
Faculty of Engineering and Information Sciences - Papers: Part A
Proton computed tomography (pCT) is an evolving tomographic imaging modality with applications in proton and ion therapy. The method allows direct reconstruction of relative stopping power of patient tissues in a 3D-fashion. The pCT collaboration has built first experimental prototypes of pCT scanning systems [1] and has developed approaches to reconstruct proton CT images based on registering the coordinates and water equivalent path length (WEPL) of individual protons traversing the scanned volume. From these data one reconstructs the object boundary (hull) and initial image based on filtered back projection (FBP), calculates a most likely path (MLP) for each proton, and …
Bridge Deterioration Modeling By Markov Chain Monte Carlo (Mcmc) Simulation Method, N.K. Walgama Wellalage, Tieling Zhang, Richard Dwight, Khaled El-Akruti
Bridge Deterioration Modeling By Markov Chain Monte Carlo (Mcmc) Simulation Method, N.K. Walgama Wellalage, Tieling Zhang, Richard Dwight, Khaled El-Akruti
Faculty of Engineering and Information Sciences - Papers: Part A
There are over 10 thousands rail bridges in Australia that were made of different materials and constructed at different years. Managing thousands of bridges has become a real challenge for rail bridge engineers without having a systematic approach for decision making. Developing best suitable deterioration models is essential in order to implement a comprehensive Bridge Management System (BMS). In State Based Markov Deterioration (SBMD) modeling, the main task is to estimate Transition Probability Matrixes (TPMs). In this study, Markov Chain Monte Carlo (MCMC) simulation method is utilized to estimate TPMs of railway bridge elements by overcoming some limitations of conventional …
A Study Of The Behaviour Of Fresh And Coal Fouled Ballast Reinforced By Geogrid Using The Discrete Element Method, Ngoc Trung Ngo, Buddhima Indraratna, Cholachat Rujikiatkamjorn
A Study Of The Behaviour Of Fresh And Coal Fouled Ballast Reinforced By Geogrid Using The Discrete Element Method, Ngoc Trung Ngo, Buddhima Indraratna, Cholachat Rujikiatkamjorn
Faculty of Engineering and Information Sciences - Papers: Part A
Geogrids are widely used in ballasted rail tracks for reinforcement and stabilisation. During train operation, ballast becomes contaminated or fouled due to infiltration of fines from the surface, mud pumping from the subgrade, and degradation, which decreases the performance of the geogrids. This paper presents the results of a laboratory and numerical simulation to study the effect that coal fines have on the interface between ballast and geogrid. The stress-strain behaviour of fresh and fouled ballast reinforced by geogrid was investigated via a series of large scale direct shear tests in the laboratory and numerical simulations using the Discrete Element …
Influence Of Loading Conditions During Tensile Testing On Acoustic Emission, Turbadrakh Chuluunbat, Cheng Lu, Andrii Kostryzhev, A Kiet Tieu
Influence Of Loading Conditions During Tensile Testing On Acoustic Emission, Turbadrakh Chuluunbat, Cheng Lu, Andrii Kostryzhev, A Kiet Tieu
Faculty of Engineering and Information Sciences - Papers: Part A
The Acoustic Emission (AE) monitoring technique is widely used in mechanical and material research for detection of plastic deformation, fracture initiation and crack growth. However, the influence of AE features (such as signal amplitude, frequency, rise time and duration) on the fracture parameters (such as brittle or ductile mode of propagation and fracture propagation speed) is not completely understood. In this paper, the effect of loading conditions on fracture behavior was studied using AE monitoring during tensile testing of an aluminum alloy specimen. The fracture development was observed using a high speed video camera and was analyzed using the finite …
Dynamic Wetting Of Cao-Al2o3-Sio2-Mgo Liquid Oxide On Mgal2o4 Spinel, Hamed Abdeyazdan, Neslihan Dogan, Muhammad Rhamdhani, Michael Chapman, Brian Monaghan
Dynamic Wetting Of Cao-Al2o3-Sio2-Mgo Liquid Oxide On Mgal2o4 Spinel, Hamed Abdeyazdan, Neslihan Dogan, Muhammad Rhamdhani, Michael Chapman, Brian Monaghan
Faculty of Engineering and Information Sciences - Papers: Part A
Inclusion type and content in steel is critical in steelmaking, affecting both productivity through clogging, and downstream physical properties of the steel. They are normally removed from steel by reacting with a slag (liquid oxide) phase. For efficient inclusion removal, the inclusions must attach/bond with this liquid phase. The strength of the attachment can be in part characterized by the wettability of the liquid oxide on the inclusions. In this study, the dynamic wetting of liquid oxides of the CaO-Al2O3-SiO2-MgO system on a solid spinel (MgAl2O4) substrate with low porosity of 1.9 pct was measured at 1773 K (1500 °C) …
Microgrid Capability Diagram: A Tool For Optimal Grid-Tied Operation, Athmi Jayawardena, Lasantha Meegahapola, Duane A. Robinson, Sarath Perera
Microgrid Capability Diagram: A Tool For Optimal Grid-Tied Operation, Athmi Jayawardena, Lasantha Meegahapola, Duane A. Robinson, Sarath Perera
Faculty of Engineering and Information Sciences - Papers: Part A
The microgrid paradigm has gained much interest in the electricity industry due to the increased penetration of distributed resources. A grid-tied microgrid can be viewed as a single generating entity or a load depending on its power export and import at the grid supply point. Similar to conventional generators, grid-tied microgrids have the potential to be able to participate in the energy market in the future to achieve technical, financial and environmental benefits. Effective participation in the energy markets requires numerous planning tools and a comprehensive understanding of the full capability of the microgrid. This paper presents a systematic approach …
Coupled Discrete Element-Finite Difference Method For Analysing The Load-Deformation Behaviour Of A Single Stone Column In Soft Soil, Buddhima Indraratna, Ngoc Trung Ngo, Cholachat Rujikiatkamjorn, Scott W. Sloan
Coupled Discrete Element-Finite Difference Method For Analysing The Load-Deformation Behaviour Of A Single Stone Column In Soft Soil, Buddhima Indraratna, Ngoc Trung Ngo, Cholachat Rujikiatkamjorn, Scott W. Sloan
Faculty of Engineering and Information Sciences - Papers: Part A
Experimental studies and numerical modelling of the deformation of soft clay stabilised by stone columns have been conducted over the past few decades. Continuum-based numerical models have provided valuable insight into the prediction of settlement, lateral deformation, and stress and strain-rate dependent behaviour of stone columns at a macroscopic scale, but because they consist of granular material such as crushed rock, gravel, and waste rock aggregates, their behaviour is influenced by inter-particle micromechanics and cannot be modelled properly using these models. In this paper a novel coupled model of the discrete element method (DEM) and finite difference method (FDM) is …
Characterization Of Smear Zone Caused By Mandrel Action, Buddhima Indraratna, Cholachat Rujikiatkamjorn, Made Ardana
Characterization Of Smear Zone Caused By Mandrel Action, Buddhima Indraratna, Cholachat Rujikiatkamjorn, Made Ardana
Faculty of Engineering and Information Sciences - Papers: Part A
In this study, the smear zone due to vertical drain installation is studied using a large, in situ sample to capture the realistic characteristics of the smear zone in relation to the in situ soil structure. The smear zone extent for Bulli clay (New South Wales, Australia) is quantified on the basis of normalised permeability and the reduction in the water content prior to consolidation. The permeability and compressibility of the soil are used to determine the extent to which the soil surrounding the PVD had become disturbed. In laboratory testing, the soil consolidation behavior due to a prefabricated vertical …
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 …
Identity-Based Secure Distributed Data Storage Schemes, Jinguang Han, Willy Susilo, Yi Mu
Identity-Based Secure Distributed Data Storage Schemes, Jinguang Han, Willy Susilo, Yi Mu
Faculty of Engineering and Information Sciences - Papers: Part A
Secure distributed data storage can shift the burden of maintaining a large number of files from the owner to proxy servers. Proxy servers can convert encrypted files for the owner to encrypted files for the receiver without the necessity of knowing the content of the original files. In practice, the original files will be removed by the owner for the sake of space efficiency. Hence, the issues on confidentiality and integrity of the outsourced data must be addressed carefully. In this paper, we propose two identity-based secure distributed data storage (IBSDDS) schemes. Our schemes can capture the following properties: (1) …
Intelligent Approaches To Complex Systems, P K. S Prakash, Nagesh Shukla
Intelligent Approaches To Complex Systems, P K. S Prakash, Nagesh Shukla
Faculty of Engineering and Information Sciences - Papers: Part A
Availability of large amount and variety of information and decision making problems in various complex systems ranging from transportation, supply chain, energy to logistics; have placed the need for the development & successful application of advanced intelligent approaches. It is argued that intelligent approaches such as analytics and optimisation techniques drive smarter decisions, faster actions and optimise outcomes in this era. However, there are no single best analytical or optimisation technique to deal with the challenges in various complex systems. It is due to the fact that a technique/approach may show a better performance for a given problem instance; but, …
Data Scientists As Game Changers In Big Data Environments, Akemi T. Chatfield, Vivian N. Shlemoon, Wilbur Redublado, Faizur Rahman
Data Scientists As Game Changers In Big Data Environments, Akemi T. Chatfield, Vivian N. Shlemoon, Wilbur Redublado, Faizur Rahman
Faculty of Engineering and Information Sciences - Papers: Part A
The potential power of big data to generate insights and create new forms of value in the ways which transform organizations and society has been observed by big data-driven organizations and big data experts. Despite the recent sensational declaration of a data scientist as "the sexiest job of the 21st century", however, there has been the lack of rigorous studies of what a data scientist is, and what job skill requirements this hottest job title may need. In order to address this gap, we systematically examine relevant source material to extract definitions and categorize them with a classification scheme developed …
Roles Of Social Media In Open Data Environments: A Case Study Of The 2014 Indonesian Presidential Election Voting Results, Uuf Brajawidagda, Akemi T. Chatfield
Roles Of Social Media In Open Data Environments: A Case Study Of The 2014 Indonesian Presidential Election Voting Results, Uuf Brajawidagda, Akemi T. Chatfield
Faculty of Engineering and Information Sciences - Papers: Part A
Open data initiatives are critical to open government policies which promote transparency, citizen engagement and collaboration. However, they face challenges in realizing their potential benefits through citizens' active engagement. Despite the sharp rise of social media use by governments or quasi-governmental organizations to engage citizens in transforming public service quality and offers, very little has been written on enabling roles of social media in influencing the outcome of open data initiatives. This research examines the potential enabling roles of social media in motivating and having citizens' engagement easier in open data environments. Specifically, we present social media use in supporting …