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Full-Text Articles in Social and Behavioral Sciences
Spatial Modelling Of Benthic Cover Using Remote Sensing Data In The Aldabra Lagoon, Western Indian Ocean, Sarah Hamylton, Tom Spencer, A Hagan
Spatial Modelling Of Benthic Cover Using Remote Sensing Data In The Aldabra Lagoon, Western Indian Ocean, Sarah Hamylton, Tom Spencer, A Hagan
Faculty of Science - Papers (Archive)
Spatially explicit ecological modelling was used to predict the distribution of 4 benthic components (live coral, carbonate sand, macroalgae and dead coral) inside the Aldabra lagoon, southern Seychelles, western Indian Ocean. Both classic ordinary least-squares and spatial autoregression techniques were carried out on a field data set of 774 spatially referenced records and 3 satellite remote sensing images to define an empirical relationship between local environmental conditions (water depth and water level variation) and benthic cover. This relationship was then used to generate a synoptic model of the spatial cover and distribution of each benthic component at the landscape (i.e. …
A Comparison Of Spatially Explicit And Classic Regression Modelling Of Live Coral Cover Using Hyperspectral Remote-Sensing Data In The Al Wajh Lagoon, Red Sea, S Hamylton
Faculty of Science - Papers (Archive)
Live coral is a key component of the Al Wajh marine reserve in the Red Sea. The management of this reserve is dependent on a sound understanding of the existing spatial distribution of live coral cover and the environmental factors influencing live coral at the landscape scale. This study uses remote-sensing techniques to develop ordinary least squares and spatially lagged autoregressive explanatory models of the distribution of live coral cover inside the Al Wajh lagoon, Saudi Arabia. Live coral was modelled as a response to environmental controls such as water depth, the concentration of suspended sediment in the water column …
Bioregional Assessment Project: Sydney Metropolitan, Southern Rivers And Hawkesbury-Nepean Catchments: Data Collation Phase To Study The Impact Of Mining Activity And Coal Seam Gas On Environmental Assets, John Bradd, Tim Cohen, Sam Marx, Sol Buckman, Emma Burkhardt, A Clarke, Nicole Cook, Stephen Cullen, James Daley, Alexi Gavin, Ren Hu, Emma Kiekebosch-Fitt, Matt Lemcke, Andrew Lowe, Thomas Mcmahon, Luke Mcneilage, Kaitlyn O'Mara, Garth Nagle, Sam Robson, Carolyn Silveri, Joe Stammers
Bioregional Assessment Project: Sydney Metropolitan, Southern Rivers And Hawkesbury-Nepean Catchments: Data Collation Phase To Study The Impact Of Mining Activity And Coal Seam Gas On Environmental Assets, John Bradd, Tim Cohen, Sam Marx, Sol Buckman, Emma Burkhardt, A Clarke, Nicole Cook, Stephen Cullen, James Daley, Alexi Gavin, Ren Hu, Emma Kiekebosch-Fitt, Matt Lemcke, Andrew Lowe, Thomas Mcmahon, Luke Mcneilage, Kaitlyn O'Mara, Garth Nagle, Sam Robson, Carolyn Silveri, Joe Stammers
Faculty of Science, Medicine and Health - Papers: part A
This study was commissioned by the Hawkesbury-Nepean (HNCMA), Sydney Metropolitan (SMCMA) and Southern Rivers (SRCMA) Catchment Management Authorities and undertaken by the University of Wollongong to collate existing data and to provide a preliminary assessment of the potential impacts of coal seam gas (CSG) and coal mining activities on environmental assets within the three CMA regions, where environmental assets were defined under three broad themes; water, land and biodiversity. This study formed part of the Australian Federal Government’s Department of Sustainability, Environment, Water, Population and Communities (SEWPaC) Bioregional Assessment initiative within regions potentially affected by CSG and coal mining activities. …
The Impact Of Cannabis Use On Cognitive Functioning In Patients With Schizophrenia: A Meta-Analysis Of Existing Findings And New Data In A First-Episode Sample, Murat Yücel, Emre Bora, Daniel I. Lubman, Nadia Solowij, Warrick J. Brewer, Sue M. Cotton, Phillipe Conus, Michael J. Takagi, Alex Fornito, Stephen J. Wood, Patrick D. Mcgorry, Christos Pantelis
The Impact Of Cannabis Use On Cognitive Functioning In Patients With Schizophrenia: A Meta-Analysis Of Existing Findings And New Data In A First-Episode Sample, Murat Yücel, Emre Bora, Daniel I. Lubman, Nadia Solowij, Warrick J. Brewer, Sue M. Cotton, Phillipe Conus, Michael J. Takagi, Alex Fornito, Stephen J. Wood, Patrick D. Mcgorry, Christos Pantelis
Faculty of Health and Behavioural Sciences - Papers (Archive)
Cannabis use is highly prevalent among people with schizophrenia, and coupled with impaired cognition, is thought to heighten the risk of illness onset. However, while heavy cannabis use has been associated with cognitive deficits in long-term users, studies among patients with schizophrenia have been contradictory. This article consists of 2 studies. In Study I, a meta-analysis of 10 studies comprising 572 patients with established schizophrenia (with and without comorbid cannabis use) was conducted. Patients with a history of cannabis use were found to have superior neuropsychological functioning. This finding was largely driven by studies that included patients with a lifetime …
The Health And Development Of Children Born To Older Mothers In The United Kingdom: Observational Study Using Longitudinal Cohort Data, Alastair G. Sutcliffe, Jacqueline Barnes, Jay Belsky, Julian Gardiner, Edward Melhuish
The Health And Development Of Children Born To Older Mothers In The United Kingdom: Observational Study Using Longitudinal Cohort Data, Alastair G. Sutcliffe, Jacqueline Barnes, Jay Belsky, Julian Gardiner, Edward Melhuish
Faculty of Social Sciences - Papers (Archive)
Objective To assess relations between children's health and development and maternal age. Design Observational study of longitudinal cohorts. Setting Millennium Cohort Study (a random sample of UK children) and the National Evaluation of Sure Start study (a random sample of children in deprived areas in England), 2001 to 2007. Participants 31 257 children at age 9 months, 24 781 children at age 3 years, and 22 504 at age 5 years. Main outcome measures Childhood unintentional injuries and hospital admissions (aged 9 months, 3 years, and 5 years), immunisations (aged 9 months and 3 years), body mass index, language development, …
Double Space-Time Transmit Diversity For Very High Data Rate Mb-Ofdm Uwb Systems, Ngoc P. Le, Le C. Tran, Farzad Safaei
Double Space-Time Transmit Diversity For Very High Data Rate Mb-Ofdm Uwb Systems, Ngoc P. Le, Le C. Tran, Farzad Safaei
Faculty of Engineering and Information Sciences - Papers: Part A
In this paper, we investigate a multiband-orthogonal frequency division multiplexing ultra-wideband (MB-OFDM UWB) system with very high data rates (VHDR) of several gigabits per second (Gbps). We propose a DSTTD-based VHDR MB-OFDM UWB system by incorporating a double space-time transmit diversity (DSTTD) scheme into the conventional MB-OFDM UWB system. At the receiver, an efficient soft-demapper that takes into consideration the noise enhancement due to a zero-forcing equalization is developed. Numerical simulations of the proposed system at a very high data rate of 2.Gbps over the IEEE 802.15.3a channel models are implemented. The simulation results show that this system could achieve …
Underground Coal Mine Delay Data Analysis System, Ernest Y. Baafi, Ian Porter
Underground Coal Mine Delay Data Analysis System, Ernest Y. Baafi, Ian Porter
Faculty of Engineering and Information Sciences - Papers: Part A
Due to the high levels of uncertainty in underground coal mining operations, delays occur regularly which inadvertently reduce the utilisation of mining equipment. In most coal mines delay data is primarily sourced from shift reports, machine monitoring and production systems. The recording process is initiated commonly at the end of a shift to ensure the correct information is recorded for the managerial decision process. An issue that the Australian coal industry faces is the lack of a standardised delay recording process and delay classification system. Tools used within the industry to analyse delay data are mostly mine specific and offer …
Data Driven Encoding Of Structures And Link Predictions In Large Xml Document Collections, M Hagenbuchner, A C. Tsoi, M Kc, Shujia Zhang
Data Driven Encoding Of Structures And Link Predictions In Large Xml Document Collections, M Hagenbuchner, A C. Tsoi, M Kc, Shujia Zhang
Faculty of Engineering and Information Sciences - Papers: Part A
In recent years there have been some significant research towards the ability of processing related data, particularly the relatedness among atomic elements in a structure with those in another structure. A number of approaches have been developed with various degrees of success. This chapter provides an overview of machine learning approaches for the encoding of related atomic elements in one structure with those in other structures. The chapter briefly reviews a number of unsupervised approaches for such data structures which can be used for solving generic classification, regression, and clustering problems. We will apply this approach to a particularly interesting …
Analysis Of Voltage Quality Data From Smart Meters, P K. C Wong, R A. Barr, A Kalam
Analysis Of Voltage Quality Data From Smart Meters, P K. C Wong, R A. Barr, A Kalam
Faculty of Engineering and Information Sciences - Papers: Part A
Initial analysis of voltage quality information collected from smart meters at premise level is presented. The information reveals instances of over and under voltage at some consumer premises. This revelation means supply authorities now have an obligation to rectify their supply voltages in accordance with codes and regulations. The analysis provides the foundation for future research work to identify effective solutions to the observed over and under voltage problems in the supply network. © 2012 Institut Teknologi Sepulul.
The Algorithm Of Equal Acceptance Region For Detecting Copy Number Alterations: Applications To Next-Generation Sequencing Data, Yan-Xia Lin
Faculty of Engineering and Information Sciences - Papers: Part A
The information of copy number alterations (gains and losses) in tumour genomes can be used to discovery cancer-causing genes. The estimate of copy number can be obtained from the estimate copy number ratio. The higher the depth of underlying sequencing data, the more accurate the estimate of copy number ratio. At the same time, the higher depth of a sequencing data used in copy number analysis, the more cost of data analysis. To develop a method for identifying a necessary depth of sequencing data for copy number analysis before test data are produced is of interest. In this paper, we …
Very High Data Rate Mb-Ofdm Uwb Systems With Transmit Diversity Techniques, Ngoc Phuc Le, Le Chung Tran, Farzad Safaei
Very High Data Rate Mb-Ofdm Uwb Systems With Transmit Diversity Techniques, Ngoc Phuc Le, Le Chung Tran, Farzad Safaei
Faculty of Engineering and Information Sciences - Papers: Part A
In this paper, the application of space time block codes in a very high data rate multiband-OFDM ultra-wideband (VHDR MB-OFDM UWB) system, where the Modified Dual Carrier Modulation (MDCM) scheme and Low Density Parity Check codes are deployed, is investigated. First, we present a new table-based mapping approach and derive soft-demapping expressions for the MDCM scheme. We then propose a space-time-frequency coded VHDR MB-OFDM UWB system by incorporating space time block codes into the conventional VHDR MB-OFDM UWB system. Numerical simulations of the system supporting a data rate of 1Gbps over the IEEE 802.15.3a channel models are implemented. The simulation …
Estimation Of Regression Parameters From Noise Multiplied Data, Yan-Xia Lin, Phillip Wise
Estimation Of Regression Parameters From Noise Multiplied Data, Yan-Xia Lin, Phillip Wise
Faculty of Engineering and Information Sciences - Papers: Part A
This paper considers the scenario that all data entries in a confidentialised unit record file were masked by multiplicative noises, regardless of whether unit records are sensitive or not and regardless of whether the masked variables are dependent or independent variables in the underlying regression analysis. A technique is introduced in this paper to show how to estimate parameters in a regression model, which is originally fitted by unmasked data, based on masked data. Several simulation studies and a real-life data application are presented.
Small Area Estimation In Practice An Applocation To Agricultural Business Survey Data, Nikos Tzavidis, Raymond L. Chambers, Nicola Salvati, Hukum Chandra
Small Area Estimation In Practice An Applocation To Agricultural Business Survey Data, Nikos Tzavidis, Raymond L. Chambers, Nicola Salvati, Hukum Chandra
Faculty of Engineering and Information Sciences - Papers: Part A
This paper describes an application of small area estimation (SAbl to agricultural business survey data. Both well known small area estimators, such as the empirical best linear unbiased predictor (EBLUP), and more recently proposed small area estimators, for example, tile M-quanlile, the robust EBLUP aml!he Model Ansed Direct estimators arc considered. Mean squared error estimation is discussed. Using a real agricultural business survey dataset, we place emphasis on model diagnostics for specifying the small area working model, on diagnostic measures for validating the reliability of direct and indirect (modelbased) small area e.~timators i1nd on providing practical guidelines to the prospective …
Robust Sampled-Data Control Of Structures Subject To Parameter Uncertainties And Actuator Saturation, Haiping Du, Nong Zhang, Bijan Samali, Fazel Naghdy
Robust Sampled-Data Control Of Structures Subject To Parameter Uncertainties And Actuator Saturation, Haiping Du, Nong Zhang, Bijan Samali, Fazel Naghdy
Faculty of Engineering and Information Sciences - Papers: Part A
"This paper presents a robust sampled-data controller design approach for vibration attenuation of civil structures considering parameter uncertainties and actuator saturation. The parameter uncertainties belong to polytopic form and are assumed to be the variations of the structural stiffness and damping. Regarding the uncertain sampling problem encountered in real world applications, the sampling period designed for the controller is allowed to be variable within a given bound. In order to obtain reduced peak response quantities, the energy-to-peak performance used to describe the peak values of the control output under all possible energy-bounded disturbances is optimised. The robust sampled-data state feedback …
Biclustering: Overcoming Data Dimensionality Problems In Market Segmentation, Sara Dolnicar, Sebastian Kaiser, Katie Lazarevski, Friedrich Leisch
Biclustering: Overcoming Data Dimensionality Problems In Market Segmentation, Sara Dolnicar, Sebastian Kaiser, Katie Lazarevski, Friedrich Leisch
Faculty of Commerce - Papers (Archive)
Data-driven market segmentation is a popular and widely used segmentation method in tourism. It aims to identify market segments among tourists who are similar to each other, thus allowing a targeted marketing mix to be developed. Typically data used to segment tourists are characterized by small numbers of respondents and large numbers of survey questions. Small samples and numerous questions cause serious methodological problems that have typically been addressed by using factorcluster analysis to reduce the dimensionality of data. Recently, factor-cluster analysis has been shown as an unacceptable solution to the problem of high data dimensionality in segmentation. In this …
Development Of A Spatial Data Infrastructure For Coastal Management In The Amirante Islands, Seychelles, Sarah M. Hamylton, Justin Prosper
Development Of A Spatial Data Infrastructure For Coastal Management In The Amirante Islands, Seychelles, Sarah M. Hamylton, Justin Prosper
Faculty of Science - Papers (Archive)
Spatial data infrastructures play a key role in coastal management decision making in the Seychelles. This paper describes four components of a web-based spatial data infrastructure that were developed to facilitate coastal management of the Amirante Islands in the Seychelles. The four components include: (i) the institutional arrangement for using spatial data effectively to address local management challenges, (ii) the production of island habitat maps from remotely sensed data, (iii) the tasks undertaken for promoting access to and use of this spatial data, and (iv) an example of how this data is used for a specific coastal management application in …
Validation Of Iasi Forli Carbon Monoxide Retrievals Using Ftir Data From Ndacc, T Kerzenmacher, B Dils, N Kumps, T Blumenstock, C Clerbaux, P F. Coheur, P Demoulin, Omaira Garcia, M George, David W. Griffith, F Hase, J Hadji-Lazaro, D Hurtmans, Nicholas B. Jones, E Mahieu, Justus Notholt, Clare Paton-Walsh, U Raffalski, T Ridder, M Schneider, C Servais, M De Maziere
Validation Of Iasi Forli Carbon Monoxide Retrievals Using Ftir Data From Ndacc, T Kerzenmacher, B Dils, N Kumps, T Blumenstock, C Clerbaux, P F. Coheur, P Demoulin, Omaira Garcia, M George, David W. Griffith, F Hase, J Hadji-Lazaro, D Hurtmans, Nicholas B. Jones, E Mahieu, Justus Notholt, Clare Paton-Walsh, U Raffalski, T Ridder, M Schneider, C Servais, M De Maziere
Faculty of Science - Papers (Archive)
Carbon monoxide (CO) is retrieved daily and globally from space-borne IASI radiance spectra using the Fast Optimal Retrievals on Layers for IASI (FORLI) software developed at the Universit´e Libre de Bruxelles (ULB). The IASI CO total column product for 2008 from the most recent FORLI retrieval version (20100815) is evaluated using correlative CO profile products retrieved from groundbased solar absorption Fourier transform infrared (FTIR) observations at the following FTIR spectrometer sites from the Network for the Detection of Atmospheric Composition Change (NDACC): Ny-A° lesund, Kiruna, Bremen, Jungfraujoch, Iza˜na and Wollongong. In order to have good statistics for the comparisons, we …
The Acos Co2 Retrieval Algorithm - Part Ii: Global Xco2 Data Characterization, D Crisp, B Fisher, C O'Dell, C Frankenberg, R Basilio, H Bosch, L R. Brown, R Castano, B Connor, N M. Deutscher, A Eldering, D Griffith, M Gunson, A Kuze, L Mandrake, J Mcduffie, J Messerschmidt, C E. Miller, I Morino, V Natraj, J Notholt, D M. O'Brien, F Oyafuso, I Polonsky, J Robinson, R Salawitch, V Sherlock, M Smyth, H Suto, T E. Taylor, D R. Thompson, P O. Wennberg, D Wunch, Y L. Yung
The Acos Co2 Retrieval Algorithm - Part Ii: Global Xco2 Data Characterization, D Crisp, B Fisher, C O'Dell, C Frankenberg, R Basilio, H Bosch, L R. Brown, R Castano, B Connor, N M. Deutscher, A Eldering, D Griffith, M Gunson, A Kuze, L Mandrake, J Mcduffie, J Messerschmidt, C E. Miller, I Morino, V Natraj, J Notholt, D M. O'Brien, F Oyafuso, I Polonsky, J Robinson, R Salawitch, V Sherlock, M Smyth, H Suto, T E. Taylor, D R. Thompson, P O. Wennberg, D Wunch, Y L. Yung
Faculty of Science - Papers (Archive)
Here, we report preliminary estimates of the column averaged carbon dioxide (CO2) dry air mole fraction, XCO2, retrieved from spectra recorded over land by the Greenhouse gases Observing Satellite, GOSAT (nicknamed "Ibuki"), using retrieval methods originally developed for the NASA Orbiting Carbon Observatory (OCO) mission. After screening for clouds and other known error sources, these retrievals reproduce much of the expected structure in the global XCO2 field, including its variation with latitude and season. However, low yields of retrieved XCO2 over persistently cloudy areas and ice covered surfaces at high latitudes limit the coverage of some geographic regions, even on …