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Articles 1021 - 1050 of 2377
Full-Text Articles in Physical Sciences and Mathematics
Multistage Sampling, David Steel
Measuring And Analyzing The Within Group Homogeneity Of Multi-Category Variables, David Steel, Mark Tranmer
Measuring And Analyzing The Within Group Homogeneity Of Multi-Category Variables, David Steel, Mark Tranmer
Professor David Steel
No abstract provided.
Unravelling Ecological Analysis, David Steel, Mark Tranmer, D Holt
Unravelling Ecological Analysis, David Steel, Mark Tranmer, D Holt
Professor David Steel
No abstract provided.
Seasonal Adjustment Of An Aggregate Series Using Univariate And Multivariate Basic Structural Models, David Steel, Yan-Xia Lin, Carole Birrell
Seasonal Adjustment Of An Aggregate Series Using Univariate And Multivariate Basic Structural Models, David Steel, Yan-Xia Lin, Carole Birrell
Professor David Steel
Time series resulting from aggregation of several sub-series can be seasonally adjusted directlyor indirectly. With model-based seasonal adjustment, the sub-series may also be considered as amultivariate system of series and the analysis may be done jointly. This approach has considerableadvantage over the indirect method, as it utilises the covariance structure between the sub-series.This paper compares a model-based univariate and multivariate approach to seasonal adjustment.Firstly, the univariate basic structural model (BSM) is applied directly to the aggregate series. Secondly,the multivariate BSM is applied to a transformed system of sub-series. The prediction meansquared errors of the seasonally adjusted aggregate series resulting from …
Application Of Multi-Phase Experiments In Plant Pathology To Identify Genetic Resistance To Diaporthe Toxica In Lupinus Albus, R. B. Cowley, G. J. Ash, J. D. I. Harper, Alison Smith, Brian Cullis, D. J. Luckett
Application Of Multi-Phase Experiments In Plant Pathology To Identify Genetic Resistance To Diaporthe Toxica In Lupinus Albus, R. B. Cowley, G. J. Ash, J. D. I. Harper, Alison Smith, Brian Cullis, D. J. Luckett
Dr Alison Smith
Phenotyping assays in plant pathology using detached plant parts are multi-phase experimental processes. Such assays involve growing plants in field or controlled-environment trials (Phase 1) and then subjecting a sample removed from each plant to disease assessment, usually under laboratory conditions (Phase 2). Each phase may be subject to nongenetic sources of variation. To be able to separate these sources of variation in both phases from genetic sources of variation requires a multi-phase experiment with an appropriate experimental design and statistical analysis. To achieve this, a separate randomization is required for each phase, with additional replication in Phase 2. In …
A Comparison Of Analysis Methods For Late-Stage Variety Evaluation Trials, Sue Welham, Beverley Gogel, Alison Smith, Robin Thompson, Brian Cullis
A Comparison Of Analysis Methods For Late-Stage Variety Evaluation Trials, Sue Welham, Beverley Gogel, Alison Smith, Robin Thompson, Brian Cullis
Dr Alison Smith
The statistical analysis of late-stage variety evaluation trials using a mixed model is described, with one- or two-stage approaches to the analysis. Two sets of trials, from Australia and the UK, were used to provide realistic scenarios for a simulation study to evaluate the different methods of analysis. This study showed that a one-stage approach gave the most accurate predictions of variety performance overall or within each environment, across a range of models, as measured by mean squared error of prediction or realized genetic gain. A weighted two-stage approach performed adequately for variety predictions both overall and within environments, but …
Enhanced Diagnostics For The Spatial Analysis Of Field Trials, Katia Stefanova, Alison Smith, Brian Cullis
Enhanced Diagnostics For The Spatial Analysis Of Field Trials, Katia Stefanova, Alison Smith, Brian Cullis
Dr Alison Smith
We report an analysis of a series of uniformity field trials using the technique proposed by Gilmour, Cullis, and Verbyla. In particular, we clarify the role of the sample variogram and present a range of enhanced graphical diagnostics to aid the spatial modeling process.We highlight the implications of the presence of extraneous variation related to commonly used agronomic practices, such as serpentine harvesting.
When Is The Cuntz-Krieger Algebra Of A Higher-Rank Graph Approximately Finite-Dimensional?, D Evans, Aidan Sims
When Is The Cuntz-Krieger Algebra Of A Higher-Rank Graph Approximately Finite-Dimensional?, D Evans, Aidan Sims
Professor Aidan Sims
We investigate the question: when is a higher-rank graph C*-algebra approximately finite-dimensional? We prove that the absence of an appropriate higher-rank analogue of a cycle is necessary. We show that it is not in general sufficient, but that it is sufficient for higher-rank graphs with finitely many vertices. We give a detailed description of the structure of the C*-algebra of a row-finite locally convex higher rank graph with finitely many vertices. Our results are also sufficient to establish that if the C*-algebra of a higher-rank graph is AF, then its every ideal must be gauge-invariant. We prove that for a …
Renault's Equivalence Theorem For Reduced Groupoid C*-Algebras, Aidan Sims, Dana Williams
Renault's Equivalence Theorem For Reduced Groupoid C*-Algebras, Aidan Sims, Dana Williams
Professor Aidan Sims
We use the technology of linking groupoids to show that equivalent groupoids have Morita equivalent reduced C*-algebras. This equivalence is compatible in a natural way in with the Equivalence Theorem for full groupoid C*-algebras.
Investigating The Impact Of Sensory Effects On The Quality Of Experience And Emotional Response In Web Videos, Benjamin Rainer, Markus Waltl, Eva Cheng, Muawiyath Shujau, Christian Timmerer, Stephen Davis, Ian Burnett, Christian Ritz, Hermann Hellwagner
Investigating The Impact Of Sensory Effects On The Quality Of Experience And Emotional Response In Web Videos, Benjamin Rainer, Markus Waltl, Eva Cheng, Muawiyath Shujau, Christian Timmerer, Stephen Davis, Ian Burnett, Christian Ritz, Hermann Hellwagner
Dr Muawiyath Shujau
Multimedia is ubiquitously available online with large amounts of video increasingly consumed through Web sites such as YouTube or Google Video. However, online multimedia typically limits users to visual/auditory stimulus, with onscreen visual media accompanied by audio. The recent introduction of MPEG-V proposed multi-sensory user experiences in multimedia environments, such as enriching video content with so-called sensory effects like wind, vibration, light, etc. In MPEG-V, these sensory effects are represented as Sensory Effect Metadata (SEM), which is additionally associated to the multimedia content. This paper presents three user studies that utilize the sensory effects framework of MPEG-V, investigating the emotional …
Backward Compatible Spatialized Teleconferencing Based On Squeezed Recordings, Christian Ritz, Muawiyath Shujau, Xiguang Zheng, Bin Cheng, Eva Cheng, Ian Burnett
Backward Compatible Spatialized Teleconferencing Based On Squeezed Recordings, Christian Ritz, Muawiyath Shujau, Xiguang Zheng, Bin Cheng, Eva Cheng, Ian Burnett
Dr Muawiyath Shujau
No abstract provided.
Enhanced Learner Model For Adaptive Mobile Learning, Ahmed Alhmouz, Jun Shen, Jun Yan, Rami Al-Hmouz
Enhanced Learner Model For Adaptive Mobile Learning, Ahmed Alhmouz, Jun Shen, Jun Yan, Rami Al-Hmouz
Dr Jun Shen
Personalisation and learner modelling are becoming more important in the area of mobile learning applications, taking into consideration learners' interests, preferences and contextual information. Students nowadays are able to learn anywhere and at any time. Mobile learning application content is one of several factors within various contexts that play an important role in the success of the adaptation process. The vast amount of data involved in any successful adaptation process creates complexity and poses serious challenges. This paper focuses on how to model the learner and all possible contexts in an extensible way that can be used for personalisation in …
Towards Bio-Inspired Cost Minimisation For Data-Intensive Service Provision, Lijuan Wang, Jun Shen
Towards Bio-Inspired Cost Minimisation For Data-Intensive Service Provision, Lijuan Wang, Jun Shen
Dr Jun Shen
The world is filled with an unimaginably vast amount of digital information which is getting even vaster and even growing more rapidly. The enormous new data is impacting every area of our society. The real strategic value of the data can determine what will happen and what can be discovered in the future. To better use the so called “Big Data”, automatic business process or workflow is needed to process large quantity of data. Biological systems present fascinating features, such as autonomy, scalability, adaptability, and robustness. The bio-inspired concepts and mechanisms have been successfully applied to service oriented systems. In …
Guest Editorial Notes For Selected Papers From Soca 2010, Jun Shen, Soo-Dong Kim, Nalini Venkatasubramanian
Guest Editorial Notes For Selected Papers From Soca 2010, Jun Shen, Soo-Dong Kim, Nalini Venkatasubramanian
Dr Jun Shen
No abstract provided.
Modeling Mobile Learning System Using Anfis, Ahmed Al-Hmouz, Jun Shen, Jun Yan, Rami Al-Hmouz
Modeling Mobile Learning System Using Anfis, Ahmed Al-Hmouz, Jun Shen, Jun Yan, Rami Al-Hmouz
Dr Jun Shen
Personalisation is becoming more important in the area of mobile learning. Learner model is logically partitioned into smaller elements or classes in the form of learner profiles, which can represent the entire learning process. Machine learning techniques have the ability to detect patterns from complicated data and learn how to perform activities based on learner profiles. This paper focuses on a systematic approach in reasoning the learner contexts to deliver adaptive learning content. A fuzzy rule base model that has been proposed in related work is found insufficient in deciding all possible conditions. To tackle this problem, this paper adopts …
Dynamic Selection Of Service Peers With Multiple Property Specifications, Jun Shen, Shuai Yuan, Aneesh Krishna
Dynamic Selection Of Service Peers With Multiple Property Specifications, Jun Shen, Shuai Yuan, Aneesh Krishna
Dr Jun Shen
Semantic Web services, one of the most significant areas in the emerging business process management systems, have attracted a great deal of effort from both academic and industry community. Traditional methodologies are still very inadequate to effectively and autonomously conduct service discovery and composition in a dynamic environment, as they seldom focus on dealing with real complex situations, such as simultaneously considering peers’ multiple specifications which reflect different properties of e-services. Different ontology based e-service profiles have been proposed to enhance service oriented framework for the total or partial automation of service invocation, discovery, selection and composition, which are involved …
An Effective Data Aggregation Based Adaptive Long Term Cpu Load Predictions Mechanism On Computational Grid, Fang Dong, Junzhou Luo, Aibo Song, Jiuxin Cao, Jun Shen
An Effective Data Aggregation Based Adaptive Long Term Cpu Load Predictions Mechanism On Computational Grid, Fang Dong, Junzhou Luo, Aibo Song, Jiuxin Cao, Jun Shen
Dr Jun Shen
With the development of Internet-based technologies and the rapid growth of scientific computing applications, Grid computing becomes more and more attractive. Generally, the execution time of a CPU-intensive task on a certain resource is tightly related to the CPU load on this resource. In order to estimate the task execution time more accurately to achieve an effective task scheduling, it is significant to make an effective long-term load prediction in dynamic Grid environments. Nevertheless, as the prediction errors will be gradually accumulated while the best values of prediction parameters may vary vigorously, the existing prediction algorithms usually fail to achieve …
Modelling And Simulation Of An Adaptive Neuro-Fuzzy Inference System (Anfis) For Mobile Learning, Ahmed Al-Hmouz, Jun Shen, Rami Al-Hmouz, Jun Yan
Modelling And Simulation Of An Adaptive Neuro-Fuzzy Inference System (Anfis) For Mobile Learning, Ahmed Al-Hmouz, Jun Shen, Rami Al-Hmouz, Jun Yan
Dr Jun Shen
With recent advances in mobile learning (m-learning), it is becoming possible for learning activities to occur everywhere. The learner model presented in our earlier work was partitioned into smaller elements in the form of learner profiles, which collectively represent the entire learning process. This paper presents an Adaptive Neuro-Fuzzy Inference System (ANFIS) for delivering adapted learning content to mobile learners. The ANFIS model was designed using trial and error based on various experiments. This study was conducted to illustrate that ANFIS is effective with hybrid learning, for the adaptation of learning content according to learners' needs. Study results show that …
1891 Eruption Of Foerstner Volcano (Pantelleria, Sicily): Insights Into The Vent Structure Of Basaltic Balloon Eruptions, J. Kelly, S. Carey, K. Croff-Bell, C. Roman, M. Rosi, M. Marani, M. Pistolesi, E. Baker
1891 Eruption Of Foerstner Volcano (Pantelleria, Sicily): Insights Into The Vent Structure Of Basaltic Balloon Eruptions, J. Kelly, S. Carey, K. Croff-Bell, C. Roman, M. Rosi, M. Marani, M. Pistolesi, E. Baker
Christopher N. Roman
AGU session number V21A-2750.
Interative Discussion Leader (Idt) @ Futuregov Forum Queensland On The Theme Of "Mobile Government", Katina Michael, Erica Fensom
Interative Discussion Leader (Idt) @ Futuregov Forum Queensland On The Theme Of "Mobile Government", Katina Michael, Erica Fensom
Professor Katina Michael
Mobile Government Briefing: Provide services anywhere any time: - Transact to enable in-field data collection, request processing, order management, approvals, edits, updates and execute actions. - What are the implications for the incorporation of rich multimedia content on devices to better serve staff and citizens? - Addressing the security challenges of various risks around data access, data transmission, and data storage for BI architecture and mobile devices
Research Methods And The Relevance Of The Is Discipline: A Critical Analysis Of The Role Of Methodological Pluralism, Rajeev Sharma
Research Methods And The Relevance Of The Is Discipline: A Critical Analysis Of The Role Of Methodological Pluralism, Rajeev Sharma
Associate Professor Rajeev Sharma
No abstract provided.
A Wireless Sensor Node Architecture Using Remote Power Charging, For Interaction Applications, Matthew D'Souza, Konstanty Bialkowski, Adam Postula, Montserrat Ros
A Wireless Sensor Node Architecture Using Remote Power Charging, For Interaction Applications, Matthew D'Souza, Konstanty Bialkowski, Adam Postula, Montserrat Ros
Dr Montserrat Ros
The wireless sensor node architecture proposed inthis paper is optimized for use in a wireless interactivepoint, listen and see system. In particular, we focus ondeveloping a wireless sensor node that can beremotely charged by harvesting microwave energy.The current system implementation allows a user toaccess information from a remote sensor via theirmobile computing device. These sensors are limited incomplexity due to the limited power available, and arecumbersome since manual intervention is required toreplace its batteries. We propose a system wherebattery powered wireless sensor nodes can berecharged by harvesting energy from a microwaveRadio Frequency (RF) signal source. The remotepower charging module of …
Morphological Characteristics Of Cervical Cells For Cervical Cancer Diagnosis, - Rahmadwati, Golshah Naghdy, Montserrat Ros, Catherine Todd
Morphological Characteristics Of Cervical Cells For Cervical Cancer Diagnosis, - Rahmadwati, Golshah Naghdy, Montserrat Ros, Catherine Todd
Dr Montserrat Ros
This paper investigates cervical cancer diagnosis based on the morphological characteristics of cervical cells. The developed algorithms cover several steps: pre-processing, image segmentation, nuclei and cytoplasm detection, feature calculation, and classification. The K-means clustering algorithm based on colour segmentation is used to segment cervical biopsy images into five regions: background, nuclei, red blood cell, stroma and cytoplasm. The morphological characteristics of cervical cells are used for feature extraction of cervical histopathology images. The cervical histopathology images are classified using four well known discriminatory features: 1) the ratio of nuclei to cytoplasm, 2) the diameter of nuclei, 3) the shape factor …
Biometric Monitoring Of Footstep And Heart Rate Using Wireless Inertial Sensors, Montserrat Ros, Matthew D'Souza, Matthew Wallace
Biometric Monitoring Of Footstep And Heart Rate Using Wireless Inertial Sensors, Montserrat Ros, Matthew D'Souza, Matthew Wallace
Dr Montserrat Ros
Inertial sensors are widely used for a variety of biomedicalapplications, such as human activity monitoring. We present awireless biomedical monitoring network used for measuringfootstep parameters and the heart rate of a person. The wirelessbiomedical monitoring network uses inertial sensors to recordand monitor heart rate and consists of multiple monitoringnodes placed on a person, that communicate with a base node.The monitoring nodes placed on a person&¿s ankle measure theacceleration generated during a footstep. By analysing thisdata, we are able to determine the average footstep length andwalking velocity to be 80cm and the average walking speed tobe 1m/s which corresponds to results …
On The Effect Of Multiple Access Interference In A Space Time Spreading Time Hopping Ppm Uwb System, Peter Vial, Beata Wysocki, Tadeusz Wysocki, Montserrat Ros, David Stirling
On The Effect Of Multiple Access Interference In A Space Time Spreading Time Hopping Ppm Uwb System, Peter Vial, Beata Wysocki, Tadeusz Wysocki, Montserrat Ros, David Stirling
Dr Montserrat Ros
This study investigates the effect of multiple sources using STS across a Time-Hopping-PPM Modulation that is over an UWB Saleh-Valenzuela channel with each source using two transmit antennas. We model and analyze this system, showing that the presence of such MAI results in a significant degradation in BER performance. Simulation results show that for strong signal strength of interfering MAI signals degradation in BER performance is observed for the cases where we have five and 10 distinct MAI sources present when using Walsh-Hadamard thirty two chip spreading sequences. Using simulation, we investigate the use of other sets of orthogonal spreading …
Extended Cubes: Enhancing The Cube Attack By Extracting Low-Degree Non-Linear Equations, Shekh Abdul-Latip, Reza Reyhanitabar, Willy Susilo, Jennifer Seberry
Extended Cubes: Enhancing The Cube Attack By Extracting Low-Degree Non-Linear Equations, Shekh Abdul-Latip, Reza Reyhanitabar, Willy Susilo, Jennifer Seberry
Dr Reza Reyhanitabar
In this paper, we propose an efficient method for extracting simple low-degree equations (e.g. quadratic ones) in addition to the linear ones, obtainable from the original cube attack by Dinur and Shamir at EUROCRYPT 2009. This extended cube attack can be successfully applied even to cryptosystems in which the original cube attack may fail due to the attacker's inability in finding sufficiently many independent linear equations. As an application of our extended method, we exhibit a side channel cube attack against the PRESENT block cipher using the Hamming weight leakage model. Our side channel attack improves upon the previous work …
On Capabilities Of Hash Domain Extenders To Preserve Enhanced Security Properties, Reza Reyhanitabar, Willy Susilo
On Capabilities Of Hash Domain Extenders To Preserve Enhanced Security Properties, Reza Reyhanitabar, Willy Susilo
Dr Reza Reyhanitabar
In this paper, we study property preservation capabilities of several domain extension transforms for hash functions with respect to multiple enhanced security notions. The transforms investigated include MD with strengthening padding (sMD), HAIFA, Enveloped Shoup (ESh) and Nested Linear Hash (nLH). While the first two transforms and their straightforward variants are among the most popular ones in practical hash designs including several SHA-3 candidates, the last two transforms (i.e. ESh and nLH) are mainly of a theoretical interest in the analysis of multi-property-preservation (MPP) capabilities of hash domain extenders. The security notions considered are the enhanced (or strengthened) variants of …
Some Benefits Of An Australian High Speed Rail Network , Philip Laird
Some Benefits Of An Australian High Speed Rail Network , Philip Laird
Dr Philip Laird
High Speed Rail or HSR with electric passenger trains operating at speeds of 250km/h or more is now operational in 12 countries and is again under consideration in Australia. The paper outlines earlier HSR studies in Australia and Sydney airport issues. It briefly considers aviation fuel use on the 10 top routes of the Melbourne-Sydney and Sydney-Brisbane corridors (some 571 million litres in 2009) and conditionally quantifies the potential reduction of aviation fuel and greenhouse gas emissions that could result from the introduction of HSR in Australia. The paper includes some observations of the current debate in Britain whether to …
Railways In Australia: Federation Unfulfilled , Philip Laird
Railways In Australia: Federation Unfulfilled , Philip Laird
Dr Philip Laird
No abstract provided.
Ieee T&S Magazine: Undergoing Transformation, Katina Michael
Ieee T&S Magazine: Undergoing Transformation, Katina Michael
Professor Katina Michael
Our Magazine is in a transformative period, not only because we are ‘Going Green’ in 2013 but because we are experiencing tremendous growth in quality international submissions. This means that we are increasingly appealing to an international audience with transdisciplinary interests. This has not gone unnoticed by the media, nor by our SSIT readership or wider engineering community.