Relevant bibliographies by topics / Pensions Australia Data processing

Academic literature on the topic 'Pensions Australia Data processing'

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Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Pensions Australia Data processing"

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Murphy, Tara, Peter Lamb, Christopher Owen, and Malte Marquarding. "Data Storage, Processing, and Visualization for the Australia Telescope Compact Array." Publications of the Astronomical Society of Australia 23, no. 1 (2006): 25–32. http://dx.doi.org/10.1071/as05033.

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AbstractWe present three Virtual Observatory tools developed at the Australia Telescope National Facility (ATNF) for the storage, processing and visualization of Australia Telescope Compact Array (ATCA) data. These are the Australia Telescope Online Archive, a prototype data-reduction pipeline, and the Remote Visualization System. These tools were developed in the context of the Virtual Observatory and were intended to be both useful for astronomers and technology demonstrators. We discuss the design and implementation of these tools, as well as issues that should be considered when developing similar systems for future telescopes.
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Hidayanti, Erni. "KUALITAS PELAYANAN PENETAPAN PENSIUN OTOMATIS BERBASIS LESS PAPER BAGI PEGAWAI NEGERI SIPIL DI LINGKUNGAN PEMERINTAH PROVINSI SULAWESI UTARA." AKSELERASI: Jurnal Ilmiah Nasional 3, no. 2 (July 16, 2021): 80–91. http://dx.doi.org/10.54783/jin.v3i2.412.

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The purpose of this study was directed to examine the quality of service for determining less paper-based automatic pensions for Civil Servants in the North Sulawesi Provincial Government. This research is descriptive qualitative with data collection techniques in the form of interviews, observations and documentation. Implementation of the determination of less paper-based automatic pensions for Civil Servants in the North Sulawesi Provincial Government has not gone well, due to the absence of Standard Operating Procedures (SOP) for determining less paper-based automatic pensions, lack of transparency, weak socialization, weak data reconciliation, lack of human resources. The apparatus, there is no innovation in the development of less paper-based pension processing, the condition of civil servants who will enter the retirement age limit has not responded to the implementation of the less paper-based automatic pension determination. Therefore, it takes a strong commitment and desire from the North Sulawesi Provincial Government, especially the Regional Personnel Board of North Sulawesi Province in making innovations in developing less paper-based automatic pension determinations to create automatic pension service flows that meet service quality standards, making it easier for pension recipients to receive pension decisions.
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Pettit, C. J., S. N. Lieske, and S. Z. Leao. "BIG BICYCLE DATA PROCESSING: FROM PERSONAL DATA TO URBAN APPLICATIONS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-2 (June 2, 2016): 173–79. http://dx.doi.org/10.5194/isprsannals-iii-2-173-2016.

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Understanding the flows of people moving through the built environment is a vital source of information for the planners and policy makers who shape our cities. Smart phone applications enable people to trace themselves through the city and these data can potentially be then aggregated and visualised to show hot spots and trajectories of macro urban movement. In this paper our aim is to develop procedures for cleaning, aggregating and visualising human movement data and translating this into policy relevant information. In conducting this research we explore using bicycle data collected from a smart phone application known as RiderLog. We focus on the RiderLog application initially in the context of Sydney, Australia and discuss the procedures and challenges in processing and cleaning this data before any analysis can be made. We then present some preliminary map results using the CartoDB online mapping platform where data are aggregated and visualised to show hot spots and trajectories of macro urban movement. We conclude the paper by highlighting some of the key challenges in working with such data and outline some next steps in processing the data and conducting higher volume and more extensive analysis.
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Pettit, C. J., S. N. Lieske, and S. Z. Leao. "BIG BICYCLE DATA PROCESSING: FROM PERSONAL DATA TO URBAN APPLICATIONS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-2 (June 2, 2016): 173–79. http://dx.doi.org/10.5194/isprs-annals-iii-2-173-2016.

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Understanding the flows of people moving through the built environment is a vital source of information for the planners and policy makers who shape our cities. Smart phone applications enable people to trace themselves through the city and these data can potentially be then aggregated and visualised to show hot spots and trajectories of macro urban movement. In this paper our aim is to develop procedures for cleaning, aggregating and visualising human movement data and translating this into policy relevant information. In conducting this research we explore using bicycle data collected from a smart phone application known as RiderLog. We focus on the RiderLog application initially in the context of Sydney, Australia and discuss the procedures and challenges in processing and cleaning this data before any analysis can be made. We then present some preliminary map results using the CartoDB online mapping platform where data are aggregated and visualised to show hot spots and trajectories of macro urban movement. We conclude the paper by highlighting some of the key challenges in working with such data and outline some next steps in processing the data and conducting higher volume and more extensive analysis.
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Henderson, Roger. "ASEG History Committee: A history of geophysical data and image processing in Australia." Preview 2020, no. 207 (July 3, 2020): 5. http://dx.doi.org/10.1080/14432471.2020.1800381.

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Unwin, Elizabeth, James Codde, Louise Gill, Suzanne Stevens, and Timothy Nelson. "The WA Hospital Morbidity Data System: An Evaluation of its Performance and the Impact of Electronic Data Transfer." Health Information Management 26, no. 4 (December 1996): 189–92. http://dx.doi.org/10.1177/183335839702600407.

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This paper evaluates the performance of the Hospital Morbidity Data System, maintained by the Health Statistics Branch (HSB) of the Health Department of Western Australia (WA). The time taken to process discharge summaries was compared in the first and second halves of 1995, using the number of weeks taken to process 90% of all discharges and the percentage of records processed within four weeks as indicators of throughput. Both the hospitals and the HSB showed improvements in timeliness during the second half of the year. The paper also examines the impact of a recently introduced electronic data transfer system for WA country public hospitals on the timeliness of morbidity data. The processing time of country hospital records by the HSB was reduced to a similar time as for metropolitan hospitals, but the processing time in the hospitals increased, resulting in little improvement in total processing time.
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Spencer, G. A., D. F. Pridmore, and D. J. Isles. "Data integration of exploration data using colour space on an image processor." Exploration Geophysics 20, no. 2 (1989): 31. http://dx.doi.org/10.1071/eg989031.

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lmage processing in exploration has rapidly evolved into the field of data integration, whereby independent data sets which coincide in space are displayed concurrently. Interrelation-ships between data sets which may be crucial to exploration can thus be identified much more effectively than with conventional hard copy overlays. The use of perceptual colour space; hue, saturation and luminosity (HSL) provides an effective means for integrating raster data sets, as illustrated with the multi-spectral scanner and airborne geophysical data from the Kambalda area in Western Australia. The integration process must also cater for data in vector format, which is more appropriate for geological, topographic and cultural information, but to date, image processing systems have poorly captured and managed such data. As a consequence, the merging of vector data management software such as GIS (geographic information system) with existing advanced image enhancement packages is an area of active development in the exploration industry.
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Teng, Keat Huat, Joe Zhou, Rao Yandapalli Hanumantha, Yingjie Feng, Zhengmin Zhang, and Loic Michel. "Simplify the variable-depth streamer data processing through pre- migration deghosting: a case study from NWS Australia Data." ASEG Extended Abstracts 2013, no. 1 (December 2013): 1–4. http://dx.doi.org/10.1071/aseg2013ab286.

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Ticehurst, Catherine, Zheng-Shu Zhou, Eric Lehmann, Fang Yuan, Medhavy Thankappan, Ake Rosenqvist, Ben Lewis, and Matt Paget. "Building a SAR-Enabled Data Cube Capability in Australia Using SAR Analysis Ready Data." Data 4, no. 3 (July 15, 2019): 100. http://dx.doi.org/10.3390/data4030100.

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A research alliance between the Commonwealth Scientific and Industrial Research Organization and Geoscience Australia was established in relation to Digital Earth Australia, to develop a Synthetic Aperture Radar (SAR)-enabled Data Cube capability for Australia. This project has been developing SAR analysis ready data (ARD) products, including normalized radar backscatter (gamma nought, γ0), eigenvector-based dual-polarization decomposition and interferometric coherence, all generated from the European Space Agency (ESA) Sentinel-1 interferometric wide swath mode data available on the Copernicus Australasia Regional Data Hub. These are produced using the open source ESA SNAP toolbox. The processing workflows are described, along with a comparison of the γ0 backscatter and interferometric coherence ARD produced using SNAP and the proprietary software GAMMA. This comparison also evaluates the effects on γ0 backscatter due to variations related to: Near- and far-range look angles; SNAP’s default Shuttle Radar Topography Mission (SRTM) DEM and a refined Australia-wide DEM; as well as terrain. The agreement between SNAP and GAMMA is generally good, but also presents some systematic geometric and radiometric differences. The difference between SNAP’s default SRTM DEM and the refined DEM showed a small geometric shift along the radar view direction. The systematic geometric and radiometric issues detected can however be expected to have negligible effects on analysis, provided products from the two processors and two DEMs are used separately and not mixed within the same analysis. The results lead to the conclusion that the SNAP toolbox is suitable for producing the Sentinel-1 ARD products.
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Sangeeth L R, Silpa, Saji K. Mathew, and Vidyasagar Potdar. "Information Processing view of Electricity Demand Response Systems: A Comparative Study Between India and Australia." Pacific Asia Journal of the Association for Information Systems 12 (June 30, 2020): 27–63. http://dx.doi.org/10.17705/1thci.12402.

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Abstract Background: In recent years, demand response (DR) has gained increased attention from utilities, regulators, and market aggregators to meet the growing demands of electricity. The key aspect of a successful DR program is the effective processing of data and information to gain critical insights. This study aims to identify information processing needs and capacity that interact to improve energy DR effectiveness. To this end, organizational information processing theory (OIPT) is employed to understand the role of Information Systems (IS) resources in achieving desired DR program performance. This study also investigates how information processing for DR systems differ between developing (India) and developed (Australia) countries. Method: This work adopts a case study methodology to propose a theoretical framework using OIPT for information processing in DR systems. The study further employs a comparative case data analyses between Australian and Indian DR initiatives. Results: Our cross case analysis identifies variables of value creation in designing DR programs - pricing structure for demand side participation, renewable integration at supply side, reforms in the regulatory instruments, and emergent technology. This research posits that the degree of information processing capacity mediates the influence of information processing needs on energy DR effectiveness. Further, we develop five propositions on the interaction between task based information processing needs and capacity, and their influence on DR effectiveness. Conclusions: The study generates insights on the role of IS resources that can help stakeholders in the electricity value chain to take informed and intelligent decisions for improved performance of DR programs. Recommended Citation Sangeeth L R, Silpa; Mathew, Saji K.; and Potdar, Vidyasagar (2020) "Information Processing view of Electricity Demand Response Systems: A Comparative Study Between India and Australia," Pacific Asia Journal of the Association for Information Systems: Vol. 12: Iss. 4, Article 2. DOI: 10.17705/1pais.12402 Available at: https://aisel.aisnet.org/pajais/vol12/iss4/2
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Dissertations / Theses on the topic "Pensions Australia Data processing"

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Kutzner, Kendy. "Processing MODIS Data for Fire Detection in Australia." Thesis, Universitätsbibliothek Chemnitz, 2002. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-200200831.

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The aim of this work was to use remote sensing data from the MODIS instrument of the Terra satellite to detect bush fires in Australia. This included preprocessing the demodulator output, bit synchronization and reassembly of data packets. IMAPP was used to do the geolocation and data calibration. The fire detection used a combination of fixed threshold techniques with difference tests and background comparisons. The results were projected in a rectangular latidue/longitude map to remedy the bow tie effect. Algorithms were implemented in C and Matlab. It proved to be possible to detect fires in the available data. The results were compared with fire detection done done by NASA and fire detections based on other sensors and found to be very similar
Das Ziel dieser Arbeit war die Nutzung von Fernerkundungsdaten des MODIS Instruments an Bord des Satelliten Terra zur Erkennung von Buschfeuern in Australien. Das schloss die Vorverarbeitung der Daten vom Demodulator, die Bitsynchronisation und die Umpacketierung der Daten ein. IMAPP wurde genutzt um die Daten zu kalibrieren und zu geolokalisieren. Die Feuererkennung bedient sich einer Kombination von absoluten Schwellwerttests, Differenztests und Vergleichen mit dem Hintergrund. Die Ergebnisse wurden in eine rechteckige Laengen/Breitengradkarte projiziert um dem BowTie Effekt entgegenzuwirken. Die benutzten Algrorithmen wurden in C und Matlab implementiert. Es zeigte sich, dass es moeglich ist in den verfuegbaren Daten Feuer zu erkennen. Die Ergebnisse wurden mit Feuererkennungen der NASA und Feuererkennung die auf anderen Sensoren basieren verglichen und fuer sehr aehnlich befunden
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Kutzner, Kendy. "Processing MODIS Data for Fire Detection in Australia Verarbeitung von MODIS Daten zur Feuererkennung in Australien /." [S.l. : s.n.], 2001. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB10358966.

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Shi, Zhiqun. "Automatic interpretation of potential field data applied to the study of overburden thickness and deep crustal structures, South Australia." Title page, contents and abstract only, 1993. http://web4.library.adelaide.edu.au/theses/09PH/09phs5548.pdf.

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Bibliography: leaves 189-203. Deals with two interpretation methods, a computer program system AUTOMAG and spectral analysis, used for studying overburden thickness and density structure of the crust. The methods were applied to the Gawler Craton, Eyre Peninsula.
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Brown, Roger George, and rogergbrown@mac com. "The impact of the introduction of the graphics calculator on system wide 'high stakes' end of secondary school mathematics examinations." Swinburne University of Technology, 2005. http://adt.lib.swin.edu.au./public/adt-VSWT20051117.121210.

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There has been widespread interest in the potential impact of the graphics calculator on system wide 'high stakes' end of secondary school mathematics examinations. This thesis has focused on one aspect, the way in which examiners have gone about writing examination questions in a graphics calculator assumed environment. Two aspects of this issue have been investigated. The first concerns the types of questions that can be asked in a graphics calculator assumed environment and their frequency of use. The second addresses the level of skills assessed and whether with the introduction of the graphics calculator has been associated with an increase in difficulty as has been frequently suggested. A descriptive case study methodology was used with three examination boards, the Danish Ministry of Education, Victorian Curriculum and Assessment Authority and the International Baccalaureate Organization. Four distinct categories of questions were identified which differed according to the potential for the graphics calculator to contribute to the solution of the question and the freedom the student was then given to make use of this potential. While all examination boards made use of the full range of questions, the tendency was to under use questions in which required the use of the calculator for their solution. In respect to the level of skills assessed, it was found that both prior to and after the introduction of the graphics calculator, all three examination boards used question types that primarily tested the use of lower level mathematical skills. With exceptions, where graphics calculator active questions have been used, the tendency has been to continue to ask routine mechanistic questions. In this regard, there is no evidence of the introduction of the graphics calculator being associated with either lowering or raising of the level of the mathematical skills assessed. For all cases studied, the graphics calculator was introduced with minimal change to the curriculum and examination policies. The role of the graphics calculator in the enacted curriculum was left implicit. The resulting examinations were consistent with the stated policies. However, the inexperience of some examiners and a general policy of containment or minimal change enabled examiners to minimise the impact of the introduction of the graphics calculators on assessment.
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Robinson, Jeffrey Brett, University of Western Sydney, of Science Technology and Environment College, and School of Environment and Agriculture. "Understanding and applying decision support systems in Australian farming systems research." THESIS_CSTE_EAG_Robinson_J.xml, 2005. http://handle.uws.edu.au:8081/1959.7/642.

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Decision support systems (DSS) are usually based on computerised models of biophysical and economic systems. Despite early expectations that such models would inform and improve management, adoption rates have been low, and implementation of DSS is now “critical” The reasons for this are unclear and the aim of this study is to learn to better design, develop and apply DSS in farming systems research (FSR). Previous studies have explored the merits of quantitative tools including DSS, and suggested changes leading to greater impact. In Australia, the changes advocated have been: Simple, flexible, low cost economic tools: Emphasis on farmer learning through soft systems approaches: Understanding the socio-cultural contexts of using and developing DSS: Farmer and researcher co-learning from simulation modelling and Increasing user participation in DSS design and implementation. Twenty-four simple criteria were distilled from these studies, and their usefulness in guiding the development and application of DSS were assessed in six FSR case studies. The case studies were also used to better understand farmer learning through models of decision making and learning. To make DSS useful complements to farmers’ existing decision-making repertoires, they should be based on: (i) a decision-oriented development process, (ii) identifying a motivated and committed audience, (iii) a thorough understanding of the decision-makers context, (iv) using learning as the yardstick of success, and (v) understanding the contrasts, contradictions and conflicts between researcher and farmer decision cultures
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Ahern, Anthony J. "The management of information technology investments in the Australian ambulance services." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 1994. https://ro.ecu.edu.au/theses/1105.

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Information Technology plays a significant role in the administration and operation of most organisations today. This is certainly the case with each of the Australian Ambulance Services. With the rapid increase in the use of Information Technology and the expectation about its use by both staff and the general public, the Ambulance Service managements' are faced with the dilemma of trying to ensure that their organisations are able to get the full advantage of advances in Information Technology and at the same time ensure that investments in IT are maintained at appropriate levels that will ensure the maximum return on the investment in terms of the Ambulance Service achieving its mission and objectives. The research considers three questions: How are IT investment decisions determined? How are levels of IT investments determined? Do IT investments contribute to the organisation's overall effectiveness? The general feeling by the ambulance service CEOs is that the investment in IT has been worthwhile in terms of contributing to the organisation being more effective. These findings are contrary to a study by United Research/Business Week and described by LaPlante (1988) where less than half of CEOs surveyed felt that their organisation did an excellent job of linking computer strategy to corporate goals.
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Forsyth, Rowena Public Health &amp Community Medicine Faculty of Medicine UNSW. "Tricky technology, troubled tribes: a video ethnographic study of the impact of information technology on health care professionals??? practices and relationships." Awarded by:University of New South Wales. School of Public Health and Community Medicine, 2006. http://handle.unsw.edu.au/1959.4/30175.

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Whilst technology use has always been a part of the practice of health care delivery, more recently, information technology has been applied to aspects of clinical work concerned with documentation. This thesis presents an analysis of the ways that two professional groups, one clinical and one ancillary, at a single hospital cooperatively engage in a work practice that has recently been computerised. It investigates the way that a clinical group???s approach to and actual use of the system creates problems for the ancillary group. It understands these problems to arise from the contrasting ways that the groups position their use of documentation technology in their local definitions of professional status. The data on which analysis of these practices is based includes 16 hours of video recordings of the work practices of the two groups as they engage with the technology in their local work settings as well as video recordings of a reflexive viewing session conducted with participants from the ancillary group. Also included in the analysis are observational field notes, interviews and documentary analysis. The analysis aimed to produce a set of themes grounded in the specifics of the data, and drew on TLSTranscription?? software for the management and classification of video data. This thesis seeks to contribute to three research fields: health informatics, sociology of professions and social science research methodology. In terms of health informatics, this thesis argues for the necessity for health care information technology design to understand and incorporate the work practices of all professional groups who will be involved in using the technology system or whose work will be affected by its introduction. In terms of the sociology of professions, this thesis finds doctors and scientists to belong to two distinct occupational communities that each utilise documentation technology to different extents in their displays of professional competence. Thirdly, in terms of social science research methodology, this thesis speculates about the possibility for viewing the engagement of the groups with the research process as indicative of their reactions to future sources of outside perturbance to their work.
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Thompson, Dean (Dean Barrie) 1974. "Dynamic reconfiguration under real-time constraints." Monash University, School of Computer Science and Software Engineering, 2002. http://arrow.monash.edu.au/hdl/1959.1/7991.

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Sadler, Rohan. "Image-based modelling of pattern dynamics in a semiarid grassland of the Pilbara, Australia." University of Western Australia. School of Plant Biology, 2007. http://theses.library.uwa.edu.au/adt-WU2007.0155.

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[Truncated abstract] Ecologists are increasingly interested in quantifying local interacting processes and their impacts on spatial vegetation patterns. In arid and semiarid ecosystems, theoretical models (often spatially explicit) of dynamical system behaviour have been used to provide insight into changes in vegetation patterning and productivity triggered by ecological events, such as fire and episodic rainfall. The incorporation of aerial imagery of vegetation patterning into current theoretical model remains a challenge, as few theoretical models may be inferred directly from ecological data, let alone imagery. However, if conclusions drawn from theoretical models were well supported by image data then these models could serve as a basis for improved prediction of complex ecosystem behaviour. The objective of this thesis is therefore to innovate methods for inferring theoretical models of vegetation dynamics from imagery. ... These results demonstrate how an ad hoc inference procedure returns biologically meaningful parameter estimates for a germ-grain model of T. triandra vegetation patterning, with VLSA photography as data. Various aspects of the modelling and inference procedures are discussed in the concluding chapter, including possible future extensions and alternative applications for germ-grain models. I conclude that the state-and-transition model provides an effective exploration of an ecosystem?s dynamics, and complements spatially explicit models designed to test specific ecological mechanisms. Significantly, both types of models may now be inferred from image data through the methodologies I have developed, and can provide an empirical basis to theoretical models of complex vegetation dynamics used in understanding and managing arid (and other) ecological systems.
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Bligh, W. O. M. "Application of machine learning and connectionist modeling to an Australian dairy database." Thesis, Queensland University of Technology, 2000. https://eprints.qut.edu.au/36851/1/36851_Bligh_2000.pdf.

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The Australian Dairy Herd Improvement Scheme (ADIDS) provides a database containing both raw and processed data relating to milk production in Australia. This thesis provides estimations of potential milk production for dairy breeding using dairy animal data and artificial neural networks (ANNs). By predicting daughter milk production from data representative of dams in a herd and artificial insemination sires, an evaluation of those potential daughter results can lead to the selection of a breeding sire for that herd. Relevant data fields and derived attributes from the dairy database that significantly affect the daughter milk production are utilised in the development of a prediction model. Further research of data fields proven to influence daughter milk production, results in a set of rules extracted for human interpretation. Only Victorian data is used in this study.
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Books on the topic "Pensions Australia Data processing"

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International School on Crystallographic Computing (1987 Flinders University of South Australia). Crystallographic computing 4: Techniques and new technologies : papers presented at the International School on Crystallographic Computing held at the Flinders University of South Australia, Adelaide, Australia, August 22-29, 1987. Oxford: Oxford University Press [for the] International Union of Crystallography, 1988.

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A, Sowmya, and Park J, eds. Distributed computer control systems 2000 (DCCS 2000): A proceedings volume from the 16th IFAC workshop, Sydney, Australia, 29 November - 1 December 2000. New York: Published for the International Federation of Automatic Control by Pergamon, 2001.

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Fleer, Marilyn. Support services for computer education teachers in Australia. Bangkok: Unesco Principal Regional Office for Asia and the Pacific, 1991.

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W, Isaacs N., Taylor M. R, and International Union of Crystallography, eds. Crystallographic computing 4: Techniques and new technologies : papers presented at the International School of Crystallographic Computing held at the Flinders University of South Australia, Adelaide, Australia, August 22-29, 1987. [Chester, England]: International Union of Crystallography, 1988.

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Nicholas, Ayache, Ourselin Sébastien, and Maeder Anthony, eds. Medical image computing and computer-assisted intervention: MICCAI 2007 : 10th international conference, Brisbane, Australia, October 29-November 2, 2007 : proceedings. Berlin: Springer, 2007.

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Technology, Robert Half. Salary guide: Technology professionals. Menlo Park, Calif: Robert Half Technology, 2004.

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1965-, Alonso Gustavo, Dadam Peter, and Rosemann Michael 1967-, eds. Business process management: 5th international conference, BPM 2007, Brisbane, Australia, September 24-28, 2007 : proceedings. Berlin: Springer, 2007.

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Scheffler, Wolfram. Betriebliche Altersversorgung: Ein EDV-System zur Unterstützung unternehmerischer Entscheidungen. Wiesbaden: Gabler, 1990.

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Jonathan, Arthur, Ng See-Kiong, and ebrary Inc, eds. Genome informatics 2008: Proceedings of the 19th International Conference, Gold Coast, Queensland, Australia, 1-3 December 2008. London: Imperial College Press, 2008.

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International Enterprise Distributed Object Computing Workshop (1st 1997 Gold Coast, Qld.). First International Enterprise Distributed Object Computing Workshop: Proceedings ; October 24-26, 1997, Gold Coast, Australia. Los Alamitos, CA: IEEE Computer Society, 1997.

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Book chapters on the topic "Pensions Australia Data processing"

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Mohamed-Ghouse, Zaffar Sadiq, Cheryl Desha, and Luis Perez-Mora. "Digital Earth in Australia." In Manual of Digital Earth, 683–711. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9915-3_21.

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Abstract Australia must overcome a number of challenges to meet the needs of our growing population in a time of increased climate variability. Fortunately, we have unprecedented access to data about our land and the built environment that is internationally regarded for its quality. Over the last two decades Australia has risen to the forefront in developing and implementing Digital Earth concepts, with several key national initiatives formalising our digital geospatial journey in digital globes, open data access and ensuring data quality. In particular and in part driven by a lack of substantial resources in space, we have directed efforts towards world-leading innovation in big data processing and storage. This chapter highlights these geospatial initiatives, including case-uses, lessons learned, and next steps for Australia. Initiatives addressed include the National Data Grid (NDG), the Queensland Globe, G20 Globe, NSW Live (formerly NSW Globe), Geoscape, the National Map, the Australian Geoscience Data Cube and Digital Earth Australia. We explore several use cases and conclude by considering lessons learned that are transferrable for our colleagues internationally. This includes challenges in: 1) Creating an active context for data use, 2) Capacity building beyond ‘show-and-tell’, and 3) Defining the job market and demand for the market.
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Mendelson, Danuta. "National Electronic Health Record Systems and Consent to Processing of Health Data in the European Union and Australia." In Legal Tech and the New Sharing Economy, 83–99. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-1350-3_6.

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Golding, Brian, Jenny Sun, Michael Riemer, Nusrat Yussouf, Helen Titley, Joanne Robbins, Beth Ebert, et al. "Connecting Weather and Hazard: A Partnership of Physical Scientists in Connected Disciplines." In Towards the “Perfect” Weather Warning, 149–200. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98989-7_6.

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AbstractAchieving consistency in the prediction of the atmosphere and related environmental hazards requires careful design of forecasting systems. In this chapter, we identify the benefits of seamless approaches to hazard prediction and the challenges of achieving them in a multi-institution situation. We see that different modelling structures are adopted in different disciplines and that these often relate to the user requirements for those hazards. We then explore the abilities of weather prediction to meet the requirements of these different disciplines. We find that differences in requirement and language can be major challenges to seamless data processing and look at some ways in which these can be resolved. We conclude with examples of partnerships in flood forecasting in the UK and wildfire forecasting in Australia.
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Morphy, Frances. "The transformation of input into output: at the Melbourne Data Processing Centre." In Agency, Contingency and Census Process: Observations of the 2006 Indigenous Enumeration Strategy in remote Aboriginal Australia. ANU Press, 2007. http://dx.doi.org/10.22459/caepr28.12.2007.08.

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Paracha, Zahir Javed, and Akhtar Kalam. "Intelligent Techniques for the Analysis of Power Quality Data in Electrical Power Distribution System." In Handbook of Research on Industrial Informatics and Manufacturing Intelligence, 563–75. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0294-6.ch024.

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This chapter is about the intelligent techniques for the analysis of power quality problems in electrical power distribution system. The problems related with electrical power industry are becoming more widespread, complex, and diversified. The behaviour of power distribution systems can be monitored effectively using artificial intelligence techniques and methodologies. There is a need of understanding the power system operations from power utility perspectives and application of computational intelligence methods to solve the problems of the power industry. The real power quality (PQ) data is taken from a power utility in Victoria Australia. Principal Component Analysis Technique (PCAT) is used to reduce the large number of PQ data attributes of the power distribution system. After the pre-processing of PQ data using PCAT, intelligent computational techniques will be used for the analysis of power quality data. Neural network techniques will be employed to estimate the values of PQ parameters of the power distribution system. The Feed Forward Back Propagation (FFBP) neural network and Recurrent Neural Networks (RNN) are used for intelligent estimation of PQ data. The results obtained through these intelligent techniques are compared with the real data of power utility in Victoria, Australia for stability, reliability and enhanced power systems performance.
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Conference papers on the topic "Pensions Australia Data processing"

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Mansfield, Geoff, Subhash Chandra, and Peter Carver. "Where's the Data? Acquisition and Processing of Seismic Data in the PNG Highlands." In International Conference and Exhibition, Melbourne, Australia 13-16 September 2015. Society of Exploration Geophysicists and American Association of Petroleum Geologists, 2015. http://dx.doi.org/10.1190/ice2015-2209218.

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Zhou, J., P. Chia, J. Li, H. Ng, S. Birdus, K. Teng, Y. Phan, J. Sun, and Y. He. "Unlocking the Full Potential of Broadband Data with Advanced Processing Technology, a Case Study from NWS Australia." In 77th EAGE Conference and Exhibition 2015. Netherlands: EAGE Publications BV, 2015. http://dx.doi.org/10.3997/2214-4609.201412901.

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Zhou*, Joe, Jingyu Li, Henry Ng, Sergey Birdus, Teng Keat Huat, Phan Ying Peng, Jason Sun, He Yi, and Peter Chia. "Unlocking the full potential of broadband data with advanced processing and imaging technology, a case study from NWS Australia." In SEG Technical Program Expanded Abstracts 2014. Society of Exploration Geophysicists, 2014. http://dx.doi.org/10.1190/segam2014-0434.1.

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Zhang, Hui, Jianfeng Yao, Xiang Li, and Kai Zhao. "Maximising the Value of Multi-Sensor Streamer Data via MAZ Processing." In International Petroleum Technology Conference. IPTC, 2021. http://dx.doi.org/10.2523/iptc-21435-ms.

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Abstract The North West Shelf of Australia contains a late Paleozoic to Cenozoic sedimentary succession, which attains a thickness of over 10 km and is dominated by Triassic to Lower Cretaceous sediments. The deeper plays exist at multiple stratigraphic levels including oil-prone Jurassic sediments and faulted gas-prone Triassic sediments. The area has been proven difficult as far as seismic imaging is concerned, particularly over the Madeline trend. The presence of a hard, rugose water bottom, strong reflectors beneath the water bottom, and shallow Tertiary carbonates make the Dampier Sub-basin vulnerable to multiple contamination, amplitude distortion, lower signal-to-noise ratio (S/N) and unreliable AVO response. Poor seismic quality in the data has been a significant barrier to reducing exploration risk. In the 1990s, East Dampier (1992, blue polygon in Figure 1) and Keast (1997, yellow polygon in Figure 1) seismic data were acquired in East-West and North-South directions respectively, in an effort to better understand the impact from the shallow complex overburden. To address these challenges, the Demeter survey was acquired in 2003 (black polygon in Figure 1) with a denser acquisition grid. The overall seismic quality was improved, but the results still contained a significant level of residual multiples. Later, the Fortuna survey, the most comprehensive multi-sensor seismic survey on the North West Shelf of Australia to date, was acquired in 2014 with the aim to provide better subsurface imaging (pink polygon in Figure 1) from different acquisition perspectives. The data was processed with advanced processing technology, including shallow water demultiple, deghosting and high definition tilted orthorhombic velocity model building (Birdus et al., 2017). However, the final results were still suffering from a number of challenges, specifically: 1) strong residual multiple in near offsets, 2) low S/N ratio, particularly at reservoir level, and 3) inconsistency from near to far stack resulting in unreliable AVO. In this paper, the Dixon area (green polygon), considered as the most challenging area in the Dampier Sub-basin, was chosen as the testing area for our work. By integrating high-end imaging technology, for example dual-sensor deghosting, multi-survey surface related multiple elimination (MAZ-SRME), and multi-azimuth processing (MAZ stack), we will illustrate how we have overcome many of these imaging challenges.
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Al-Jabri, Y., and M. Urosevic. "The Applicability of Vibroseis Sources For the Land Seismic Time-Lapse Surveys;CO2 Sequestration Field, Otway Basin, Victoria, Australia." In EAGE Vibroseis Workshop - Vibroseis acquisition and processing half century later, new developments in data quality and productivity. European Association of Geoscientists & Engineers, 2008. http://dx.doi.org/10.3997/2214-4609.20147525.

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Shulakova, V., R. Pevzner, and M. Urosevic. "Processing of Land 4D Seismic Data in Case of Limited Area of Repeated Survey – A Case Study from Otway Basin, Australia." In 71st EAGE Conference and Exhibition incorporating SPE EUROPEC 2009. European Association of Geoscientists & Engineers, 2009. http://dx.doi.org/10.3997/2214-4609.201400206.

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Lynch, T. P., M. Roughan, D. Mclaughlan, D. Hughes, D. Cherry, G. Critchley, S. Allen, et al. "A National Reference Station infrastructure for Australia - Using telemetry and central processing to report multi-disciplinary data streams for monitoring marine ecosystem response to climate change." In OCEANS 2008. IEEE, 2008. http://dx.doi.org/10.1109/oceans.2008.5151856.

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Jordan, Colin Lyle, Roozbeh Koochak, Martin Roberts, Ajay Nalonnil, and Mike Honeychurch. "A Holistic Approach to Big Data and Data Analytics for Automated Reservoir Surveillance and Analysis." In SPE Asia Pacific Oil & Gas Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/210757-ms.

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Abstract Analyses have been widely applied in production forecasting of oil/gas production in both conventional and unconventional reservoirs. In order to forecast production, traditional regression and machine learning approaches have been applied to various reservoir analysis methods. Nevertheless, these methods are still suboptimal in detecting similar production trends in different wells due to data artifacts (noise, data scatter, outliers) that obscure the reservoir signal and leading to large forecast error, or fail due to lack of data access (inadequate SCADA systems, missing or abhorrent data, and much more). Furthermore, without proper and complete integration into a data system, discipline silos still exist reducing the efficiency of automation. This paper describes a recent field trial conducted in Australia's Cooper Basin with the objective to develop a completely automated end-to-end system in which data are captured directly from the field/SCADA system, automatically imported/processed, and finally analyzed entirely in automated system using modern computing languages, modern devices incl. IoT, as well as advanced data science and machine learning methods. This was a multidisciplinary undertaking requiring expertise from petroleum, computing/programming, and data science disciplines. The back-end layer was developed using Wolfram's computation engine, run from an independent server in Australia, while the front-end graphical user interface (GUI) was developed using a combination of Wolfram Language, Java, and JavaScript – all later switched to a Python-React combination after extensive testing. The system was designed to simultaneously capture data real-time from SCADA Historians, IIoT devices, and remote databases for automatic processing and analysis through API's. Automatic processing included "Smart Filtering" using apparent Productivity Index and similar methods. Automated analysis, including scenario analysis, was performed using customized M/L and statistical methods which are then applied to Decline curve analysis (DCA), flowing material balance analysis (FMB), and Water-Oil-Ratio (WOR). The entire procedure is automated, without need for any human intervention.
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Asadi, Sadegh, and Abbas Khaksar. "Analytical and Numerical Sand Production Prediction Calibrated with Field Data, Example from High-Rate Gas Wells." In SPE Asia Pacific Oil & Gas Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/210776-ms.

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Abstract Sand production prediction is essential from the early stages of field development planning for well completion design and later for production management. Unconsolidated and weakly consolidated sandstones are prone to fail at low flowing bottom hole pressures during hydrocarbon production. To predict the sand-free drawdown, a robust sand prediction model that integrates near-wellbore and in-situ stresses, rock mechanical properties, well trajectory, reservoir pressure, production and depletion trends is required. Sanding prediction models should be calibrated with field data such as production and well tests observation. In the absence of field data, numerical techniques can provide a reliable estimate on potential onset and severity of sanding at various reservoir pressures. In this study, analytical and finite-element numerical models are independently used to predict the onset of sanding and volume of produced sand from high rate has wells with weakly consolidated sandstone reservoirs in onshore, Western Australia. The analytical method uses a poro-elastic model and core-calibrated log-derived rock strength profiles with an empirical effective rock strength factor (ESF). In the study, the ESF was calibrated against documented field sanding observation from a well test extended flow period at the initial reservoir pressure under a low drawdown pressure. The numerical method uses a poro-elasto-plastic model defined from triaxial core tests. The rock failure criterion in the numerical method is based on a critical strain limit (CSL) corresponding to the failure of the inner wall of thick-walled cylinder core tests that can also satisfy the existing wells sanding observations. To verify the onset and severity of sanding predicted by the analytical model, numerical simulations for an identical sandstone interval are developed to investigate the corresponding CSL. This combined analytical and numerical modelling calibrated with field data provided high confidence in the sanding evaluation and their application for future well completion and sand management decisions. The analytical model was finally used for sanding assessment over field life pressure condition because of its processing simplicity, speed and flexibility in assessing various pressure and rock strength scenarios with sensitivity analysis over the whole production interval in compared with the numerical method which is more suitable for single-depth, single pressure condition and well and perforation trajectory modelling.
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Donald, J. Adam, Erik Wielemaker, Chris Holmes, and Tom Neville. "WELLSITE FULL WAVEFORM SONIC INTERPRETATION." In 2021 SPWLA 62nd Annual Logging Symposium Online. Society of Petrophysicists and Well Log Analysts, 2021. http://dx.doi.org/10.30632/spwla-2021-0022.

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Sonic data are now acquired in most wellbores for a variety of applications including seismic tie, porosity evaluation, lithology determination, fracture detection, gas detection, and geomechanics modeling. The industry is also more aware of the impacts of intrinsic (fractures, layering), extrinsic (stress), and borehole effects that may affect the basic measurements of compressional and shear slownesses. Any advanced interpretation of sonic data has historically been done days to weeks after the acquisition, and the value of the measurement can be diminished due to the time of delivery of the final product. An updated data-driven inversion algorithm applied while logging can provide robust shear and compressional slownesses with associated quality control indicators. The updated algorithm has fewer user parameters and is more reliable in layered, stressed, or damaged formations. Processing quality is determined using the coherency of the measured signal and an industry-standard rock physics model for theoretical validation. With the updated dipole shear inversion and more flexible dipole anisotropy frequency filters, the dipole shear anisotropy processing can deliver reliable results at the wellsite. A byproduct of the new dipole shear inversion algorithm is the environmental slowness that is used to optimally fit the dipole dispersion signal. The interpretation of the environmental slowness parameter can indicate the anisotropy mechanism in addition to zones of near-wellbore alteration to provide further insight immediately. The wellsite dipole shear inversion and anisotropy processing were run on a vertical well in eastern Australia, within a stacked tight gas sand reservoir that requires hydraulic fracturing. The main application of the sonic data was reliable slownesses as input to stress modeling for designing the stimulation, but the direction of the maximum horizontal stresses within the clastic gas-filled zones was also required. The dipole shear inversion results were able to handle various lithologies and hole conditions, as well as identify vertical transverse isotropy (VTI) anisotropic shale intervals between the horizontally stressed sand zones.
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Reports on the topic "Pensions Australia Data processing"

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Mapping the Public Voice for Development—Natural Language Processing of Social Media Text Data: A Special Supplement of Key Indicators for Asia and the Pacific 2022. Asian Development Bank, August 2022. http://dx.doi.org/10.22617/fls220347-3.

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This publication explores how natural language processing (NLP) techniques can be applied to social media text data to map public sentiment and inform development research and policy making. The publication introduces the foundations of natural language analyses and showcases studies that have applied NLP techniques to make progress on the Sustainable Development Goals. It also reviews specific NLP techniques and concepts, supported by two case studies. The first case study analyzes public sentiments on the coronavirus disease (COVID-19) in the Philippines while the second case study explores the public debate on climate change in Australia.
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