Preliminary report on data mining techniques for life prediction

This project is an extension of a previous CRC project (220-059-B) which developed a program for life prediction of gutters in Queensland schools. A number of sources of information on service life of metallic building components were formed into databases linked to a Case-Based Reasoning Engine which extracted relevant cases from each source. In the initial software, no attempt was made to choose between the results offered or construct a case for retention in the casebase. In this phase of the project, alternative data mining techniques will be explored and evaluated. A process for selecting a unique service life prediction for each query will also be investigated. This report summarises the initial evaluation of several data mining techniques.

Report : analysis of maintenance database inputs

In the previous phase of this project, 2002-059-B Case-Based Reasoning in Construction and Infrastructure Projects, demonstration software was developed using a case-base reasoning engine to access a number of sources of information on lifetime of metallic building components. One source of information was data from the Queensland Department of Public Housing relating to maintenance operations over a number of years. Maintenance information is seen as being a particularly useful source of data about service life of building components as it relates to actual performance of materials in the working environment. If a building is constructed in 1984 and the maintenance records indicate that the guttering was replaced in 2006, then the service life of the gutters was 22 years in that environment. This phase of the project aims to look more deeply at the Department of Housing data, as an example of maintenance records, and formulate methods for using this data to inform the knowledge of service lifetimes.

Final Report : learning system for life prediction of infrastructure

The project has further developed two programs for the industry partners related to service life prediction and salt deposition. The program for Queensland Department of Main Roads which predicts salt deposition on different bridge structures at any point in Queensland has been further refined by looking at more variables. It was found that the height of the bridge significantly affects the salt deposition levels only when very close to the coast. However the effect of natural cleaning of salt by rainfall was incorporated into the program. The user interface allows selection of a location in Queensland, followed by a bridge component. The program then predicts the annual salt deposition rate and rates the likely severity of the environment. The service life prediction program for the Queensland Department of Public Works has been expanded to include 10 common building components, in a variety of environments. Data mining procedures have been used to develop the program and increase the usefulness of the application. A Query Based Learning System (QBLS) has been developed which is based on a data-centric model with extensions to provide support for user interaction. The program is based on number of sources of information about the service life of building components. These include the Delphi survey, the CSIRO Holistic model and a school survey. During the project, the Holistic model was modified for each building component and databases generated for the locations of all Queensland schools. Experiments were carried out to verify and provide parameters for the modelling. These included instrumentation of a downpipe, measurements on pH and chloride levels in leaf litter, EIS measurements and chromate leaching from Colorbond materials and dose tests to measure corrosion rates of new materials. A further database was also generated for inclusion in the program through a large school survey. Over 30 schools in a range of environments from tropical coastal to temperate inland were visited and the condition of the building components rated on a scale of 0-5. The data was analysed and used to calculate an average service life for each component/material combination in the environments, where sufficient examples were available.

Building infrastructure asset management : Australian practices

Generally, major public funding is invested in civil infrastructure assets. The efficiency and comfort level of expected and actual living standards is largely dependant on the management strategies of these assets. Buildings are one of the major & vital assets, which need to be maintained primarily to ensure their functionality by effective & efficient delivery of services and to optimise economic benefits. In Australia, billions of dollars are spent annually managing and maintaining built assets. These assets make up the social and economic infrastructure, which facilitate the essential services to public and business. Buildings are one of the prime & fundamental assets, which need to be managed effectively and efficiently to ensure that related services are delivered economically and sustainably

The user query based learning system for lifetime prediction of metallic components

Real-World Data Mining Applications generally do not end up with the creation of the models. The use of the model is the final purpose especially in prediction tasks. The problem arises when the model is built based on much more information than that the user can provide in using the model. As a result, the performance of model reduces drastically due to many missing attributes values. This paper develops a new learning system framework, called as User Query Based Learning System (UQBLS), for building data mining models best suitable for users use. We demonstrate its deployment in a real-world application of the lifetime prediction of metallic components in buildings

Decision - Support Software Tool Handbook

The road and transport industry in Australia and overseas has come a long way to understanding the impact of road traffic noise on the urban environment. Most road authorities now have guidelines to help assess and manage the impact of road traffic noise on noise-sensitive areas and development. While several economic studies across Australia and overseas have tried to value the impact of noise on property prices, decision-makers investing in road traffic noise management strategies have relatively limited historic data and case studies to go on. The perceived success of a noise management strategy currently relies largely on community expectations at a given time, and is not necessarily based on the analysis of the costs and benefits, or the long-term viability and value to the community of the proposed treatment options. With changing trends in urban design, it is essential that the 'whole-of-life' costs and benefits of noise ameliorative treatment options and strategies be identified and made available for decisionmakers in future investment considerations. For this reason, CRC for Construction Innovation Australia funded a research project, Noise Management in Urban Environments to help decision-makers with future road traffic noise management investment decisions. RMIT University and the Queensland Department of Main Roads (QDMR) have conducted the research work, in collaboration with the Queensland Department of Public Works, ARUP Pty Ltd, and the Queensland University of Technology. The research has formed the basis for the development of a decision-support software tool, and helped collate technical and costing data for known noise amelioration treatment options. We intend that the decision support software tool (DST) should help an investment decision-maker to be better informed of suitable noise ameliorative treatment options on a project-by-project basis and identify likely costs and benefits associated with each of those options. This handbook has been prepared as a procedural guide for conducting a comparative assessment of noise ameliorative options. The handbook outlines the methodology and assumptions adopted in the decision-support framework for the investment decision-maker and user of the DST. The DST has been developed to provide an integrated user-friendly interface between road traffic noise modelling software, the relevant assessment criteria and the options analysis process. A user guide for the DST is incorporated in this handbook.

Framework for investment decision-making under risk and uncertainty for infrastructure asset management

A study has been conducted to investigate current practices on decision-making under risk and uncertainty for infrastructure project investments. It was found that many European countries such as the UK, France, Germany including Australia use scenarios for the investigation of the effects of risk and uncertainty of project investments. Different alternative scenarios are mostly considered during the engineering economic cost-benefit analysis stage. For instance, the World Bank requires an analysis of risks in all project appraisals. Risk in economic evaluation needs to be addressed by calculating sensitivity of the rate of return for a number of events. Risks and uncertainties of project developments arise from various sources of errors including data, model and forecasting errors. It was found that the most influential factors affecting risk and uncertainty resulted from forecasting errors. Data errors and model errors have trivial effects. It was argued by many analysts that scenarios do not forecast what will happen but scenarios indicate only what can happen from given alternatives. It was suggested that the probability distributions of end-products of the project appraisal, such as cost-benefit ratios that take forecasting errors into account, are feasible decision tools for economic evaluation. Political, social, environmental as well as economic and other related risk issues have been addressed and included in decision-making frameworks, such as in a multi-criteria decisionmaking framework. But no suggestion has been made on how to incorporate risk into the investment decision-making process.

Comparative study of guidelines and practices for building infrastructure asset management

This paper presents a comparative study of primarily Australian (and limited international) practices and guidelines on Buildings Asset Management (BAM). The objective of this study was to identify potential gaps in current practices and potential areas of research for further improvement. The paper starts with an overview of BAM. Later sections cover current BAM practices and guidelines across different states of Australia; give a limited overview of international practices and concludes with the authors’ observations.

Vom Prosumer zum Produser : Ein neues Verständnis nutzergesteuerter Inhaltserschaffung

Alvin Tofflers Bild des Prosumers beeinflußt weiterhin maßgeblich unser Verständnis vieler heutzutage als „Social Media“ oder „Web 2.0“ beschriebener nutzergesteuerter, kollaborativer Prozesse der Inhaltserstellung. Ein genauerer Blick auf Tofflers eigene Beschreibung seines Prosumermodells offenbart jedoch, daß es fest im Zeitalter der Massenmedienvorherrschaft verankert bleibt: der Prosumer ist eben nicht jener aus eigenem Antrieb aktive, kreative Ersteller und Weiterbearbeiter neuer Inhalte, wie er heutzutage in Projekten von der Open-Source-Software über die Wikipedia bis hin zu Second Life zu finden ist, sondern nur ein ganz besonders gut informierter, und daher in seinem Konsumverhalten sowohl besonders kritischer als auch besonders aktiver Konsument. Hochspezialisierte, High-End-Konsumenten etwa im Hi-Fi- oder Automobilbereich stellen viel eher das Idealbild des Prosumers dar als das für Mitarbeiter in oft eben gerade nicht (oder zumindest noch nicht) kommerziell erfaßten nutzergesteuerten Kollaborationsprojekten der Fall ist. Solches von Tofflers in den 70ern erarbeiteten Modells zu erwarten, ist sicherlich ohnehin zuviel verlangt. Das Problem liegt also nicht bei Toffler selbst, sondern vielmehr in den im Industriezeitalter vorherrschenden Vorstellungen eines recht deutlich in Produktion, Distribution, und Konsum eingeteilten Prozesses. Diese Dreiteilung war für die Erschaffung materieller wie immaterieller Güter durchaus notwendig – sie ist selbst für die konventionellen Massenmedien zutreffend, bei denen Inhaltsproduktion ebenso aus kommerziellen Gründen auf einige wenige Institutionen konzentriert war wie das für die Produktion von Konsumgütern der Fall ist. Im beginnenden Informationszeitalter, beherrscht durch dezentralisierte Mediennetzwerke und weithin erhaltbare und erschwingliche Produktionsmittel, liegt der Fall jedoch anders. Was passiert, wenn Distribution automatisch erfolgt, und wenn beinahe jeder Konsument auch Produzent sein kann, anstelle einer kleinen Schar von kommerziell unterstützten Produzenten, denen bestenfallls vielleicht eine Handvoll von nahezu professionellen Prosumern zur Seite steht? Was geschieht, wenn sich die Zahl der von Eric von Hippel als ‚lead user’ beschriebenen als Produzenten aktiven Konsumenten massiv ausdehnt – wenn, wie Wikipedias Slogan es beschreibt, ‚anyone can edit’, wenn also potentiell jeder Nutzer aktiv an der Inhaltserstellung teilnehmen kann? Um die kreative und kollaborative Beteiligung zu beschreiben, die heutzutage nutzergesteuerte Projekte wie etwa die Wikipedia auszeichnet, sind Begriffe wie ‚Produktion’ und ‚Konsum’ nur noch bedingt nützlich – selbst in Konstruktionen wie 'nutzergesteuerte Produktion' oder 'P2P-Produktion'. In den Nutzergemeinschaften, die an solchen Formen der Inhaltserschaffung teilnehmen, haben sich Rollen als Konsumenten und Benutzer längst unwiederbringlich mit solchen als Produzent vermischt: Nutzer sind immer auch unausweichlich Produzenten der gemeinsamen Informationssammlung, ganz egal, ob sie sich dessens auch bewußt sind: sie haben eine neue, hybride Rolle angenommen, die sich vielleicht am besten als 'Produtzer' umschreiben lassen kann. Projekte, die auf solche Produtzung (Englisch: produsage) aufbauen, finden sich in Bereichen von Open-Source-Software über Bürgerjournalismus bis hin zur Wikipedia, und darüberhinaus auch zunehmend in Computerspielen, Filesharing, und selbst im Design materieller Güter. Obwohl unterschiedlich in ihrer Ausrichtung, bauen sie doch auf eine kleine Zahl universeller Grundprinzipien auf. Dieser Vortrag beschreibt diese Grundprinzipien, und zeigt die möglichen Implikationen dieses Übergangs von Produktion (und Prosumption) zu Produtzung auf.

Integrating hardware and software information flow analyses

Security-critical communications devices must be evaluated to the highest possible standards before they can be deployed. This process includes tracing potential information flow through the device's electronic circuitry, for each of the device's operating modes. Increasingly, however, security functionality is being entrusted to embedded software running on microprocessors within such devices, so new strategies are needed for integrating information flow analyses of embedded program code with hardware analyses. Here we show how standard compiler principles can augment high-integrity security evaluations to allow seamless tracing of information flow through both the hardware and software of embedded systems. This is done by unifying input/output statements in embedded program execution paths with the hardware pins they access, and by associating significant software states with corresponding operating modes of the surrounding electronic circuitry.

Conceptualising value creation for social change management

Australian and international governments are increasingly adopting social marketing as a social change management tool to deal with complex social problems. Government decision makers typically need to balance the use of business models and management theories whilst maintaining the integrity of government policy. In taking this approach, decision makers experience management tensions between a social mission to equitably deliver social services and the accountability and affordability of providing quality social and health services to citizens. This is a significant challenge as the nature of the ‘social product’ in government is often more service-oriented than goods-based. In this paper the authors examine value creation in government social marketing services. The contribution of this paper is a value creation process model, which considers the nature of governments to create social good. This is particularly important for governments where consumers still expect value and quality in the service delivered, despite that offering being ‘free’.

The big brother : monitoring urban growth and change for sustainable infrastructure provision

Monitoring urban growth and land-use change is an important issue for sustainable infrastructure planning. Rapid urban development, sprawl and increasing population pressure, particularly in developing nations, are resulting in deterioration of infrastructure facilities, loss of productive agricultural lands and open spaces, pollution, health hazards and micro-climatic changes. In addressing these issues effectively, it is crucial to collect up-to-date and accurate data and monitor the changing environment at regular intervals. This chapter discusses the role of geospatial technologies for mapping and monitoring the changing environment and urban structure, where such technologies are highly useful for sustainable infrastructure planning and provision.

Maintaining ERP packaged software : a revelatory case study

For many organizations, maintaining and upgrading enterprise resource planning (ERP) systems (large packaged application software) is often far more costly than the initial implementation. Systematic planning and knowledge of the fundamental maintenance processes and maintenance-related management data are required in order to effectively and efficiently administer maintenance activities. This paper reports a revelatory case study of Government Services Provider (GSP), a high-performing ERP service provider to government agencies in Australia. GSP ERP maintenance-process and maintenance-data standards are compared with the IEEE/EIA 12207 software engineering standard for custom software, also drawing upon published research, to identify how practices in the ERP context diverge from the IEEE standard. While the results show that many best practices reflected in the IEEE standard have broad relevance to software generally, divergent practices in the ERP context necessitate a shift in management focus, additional responsibilities, and different maintenance decision criteria. Study findings may provide useful guidance to practitioners, as well as input to the IEEE and other related standards.