Particle and gaseous emissions from compressed natural gas and ultralow sulphur diesel-fuelled buses at four steady engine loads

Exhaust emissions from thirteen compressed natural gas (CNG) and nine ultralow sulphur diesel in-service transport buses were monitored on a chassis dynamometer. Measurements were carried out at idle and at three steady engine loads of 25%, 50% and 100% of maximum power at a fixed speed of 60 kmph. Emission factors were estimated for particle mass and number, carbon dioxide and oxides of nitrogen for two types of CNG buses (Scania and MAN, compatible with Euro 2 and 3 emission standards, respectively) and two types of diesel buses (Volvo Pre-Euro/Euro1 and Mercedez OC500 Euro3). All emission factors increased with load. The median particle mass emission factor for the CNG buses was less than 1% of that from the diesel buses at all loads. However, the particle number emission factors did not show a statistically significant difference between buses operating on the two types of fuel. In this paper, for the very first time, particle number emission factors are presented at four steady state engine loads for CNG buses. Median values ranged from the order of 1012 particles min-1 at idle to 1015 particles km-1 at full power. Most of the particles observed in the CNG emissions were in the nanoparticle size range and likely to be composed of volatile organic compounds The CO2 emission factors were about 20% to 30% greater for the diesel buses over the CNG buses, while the oxides of nitrogen emission factors did not show any difference due to the large variation between buses.

Doing cultural heritage using the torque game engine: supporting indigenous storytelling in a 3D virtual environment

Digital Songlines (DSL) is an Australasian CRC for Interaction Design (ACID) project that is developing protocols, methodologies and toolkits to facilitate the collection, education and sharing of indigenous cultural heritage knowledge. This paper outlines the goals achieved over the last three years in the development of the Digital Songlines game engine (DSE) toolkit that is used for Australian Indigenous storytelling. The project explores the sharing of indigenous Australian Aboriginal storytelling in a sensitive manner using a game engine. The use of the game engine in the field of Cultural Heritage is expanding. They are an important tool for the recording and re-presentation of historically, culturally, and sociologically significant places, infrastructure, and artefacts, as well as the stories that are associated with them. The DSL implementation of a game engine to share storytelling provides an educational interface. Where the DSL implementation of a game engine in a CH application differs from others is in the nature of the game environment itself. It is modelled on the 'country' (the 'place' of their heritage which is so important to the clients' collective identity) and authentic fauna and flora that provides a highly contextualised setting for the stories to be told. This paper provides an overview on the development of the DSL game engine.

The Google online marketing challenge and research opportunities

The Google Online Marketing Challenge is an ongoing collaboration between Google and academics, to give students experiential learning. The Challenge gives student teams US$200 in AdWords, Google’s flagship advertising product, to develop online marketing campaigns for actual businesses. The end result is an engaging in-class exercise that provides students and professors with an exciting and pedagogically rigorous competition. Results from surveys at the end of the Challenge reveal positive appraisals from the three—students, businesses, and professors—main constituents; general agreement between students and instructors regarding learning outcomes; and a few points of difference between students and instructors. In addition to describing the Challenge and its outcomes, this article reviews the postparticipation questionnaires and subsequent datasets. The questionnaires and results are publicly available, and this article invites educators to mine the datasets, share their results, and offer suggestions for future iterations of the Challenge.

Time series analysis of a Web search engine transaction log

In this paper, we use time series analysis to evaluate predictive scenarios using search engine transactional logs. Our goal is to develop models for the analysis of searchers’ behaviors over time and investigate if time series analysis is a valid method for predicting relationships between searcher actions. Time series analysis is a method often used to understand the underlying characteristics of temporal data in order to make forecasts. In this study, we used a Web search engine transactional log and time series analysis to investigate users’ actions. We conducted our analysis in two phases. In the initial phase, we employed a basic analysis and found that 10% of searchers clicked on sponsored links. However, from 22:00 to 24:00, searchers almost exclusively clicked on the organic links, with almost no clicks on sponsored links. In the second and more extensive phase, we used a one-step prediction time series analysis method along with a transfer function method. The period rarely affects navigational and transactional queries, while rates for transactional queries vary during different periods. Our results show that the average length of a searcher session is approximately 2.9 interactions and that this average is consistent across time periods. Most importantly, our findings shows that searchers who submit the shortest queries (i.e., in number of terms) click on highest ranked results. We discuss implications, including predictive value, and future research.

The self-Googling phenomenon : investigating the performance of personalized information resources

This paper investigates self–Googling through the monitoring of search engine activities of users and adds to the few quantitative studies on this topic already in existence. We explore this phenomenon by answering the following questions: To what extent is the self–Googling visible in the usage of search engines; is any significant difference measurable between queries related to self–Googling and generic search queries; to what extent do self–Googling search requests match the selected personalised Web pages? To address these questions we explore the theory of narcissism in order to help define self–Googling and present the results from a 14–month online experiment using Google search engine usage data.

Particle emissions, volatility, and toxicity from an ethanol fumigated compression ignition engine

Particle emissions, volatility, and the concentration of reactive oxygen species (ROS) were investigated for a pre-Euro I compression ignition engine to study the potential health impacts of employing ethanol fumigation technology. Engine testing was performed in two separate experimental campaigns with most testing performed at intermediate speed with four different load settings and various ethanol substitutions. A scanning mobility particle sizer (SMPS) was used to determine particle size distributions, a volatilization tandem differential mobility analyzer (V-TDMA) was used to explore particle volatility, and a new profluorescent nitroxide probe, BPEAnit, was used to investigate the potential toxicity of particles. The greatest particulate mass reduction was achieved with ethanol fumigation at full load, which contributed to the formation of a nucleation mode. Ethanol fumigation increased the volatility of particles by coating the particles with organic material or by making extra organic material available as an external mixture. In addition, the particle-related ROS concentrations increased with ethanol fumigation and were associated with the formation of a nucleation mode. The smaller particles, the increased volatility, and the increase in potential particle toxicity with ethanol fumigation may provide a substantial barrier for the uptake of fumigation technology using ethanol as a supplementary fuel.

Exploring young children's web searching and technoliteracy

Purpose – This paper aims to report findings from an exploratory study investigating the web interactions and technoliteracy of children in the early childhood years. Previous research has studied aspects of older children’s technoliteracy and web searching; however, few studies have analyzed web search data from children younger than six years of age. Design/methodology/approach – The study explored the Google web searching and technoliteracy of young children who are enrolled in a “preparatory classroom” or kindergarten (the year before young children begin compulsory schooling in Queensland, Australia). Young children were video- and audio-taped while conducting Google web searches in the classroom. The data were qualitatively analysed to understand the young children’s web search behaviour. Findings – The findings show that young children engage in complex web searches, including keyword searching and browsing, query formulation and reformulation, relevance judgments, successive searches, information multitasking and collaborative behaviours. The study results provide significant initial insights into young children’s web searching and technoliteracy. Practical implications – The use of web search engines by young children is an important research area with implications for educators and web technologies developers. Originality/value – This is the first study of young children’s interaction with a web search engine.

Google book search settlement : implications for Australia

In 2005, the Association of American Publishers (AAP) and the Authors Guild (AG) sued Google for ‘massive copyright infringement’ for the mass digitization of books for the Google Book Search Project. In 2008, the parties reached a settlement, pending court approval. If approved, the settlement could have far-reaching consequences for authors, libraries, educational institutions and the reading public. In this article, I provide an overview of the Google Book Search Settlement. Firstly, I explain the Google Book Search Project, the legal questions raised by the Project and the lawsuit brought against Google. Secondly, I examine the terms of the Settlement Agreement, including what rights were granted between the parties and what rights were granted to the general public. Finally, I consider the implications of the settlement for Australia. The Settlement Agreement, and consequently the broader scope of the Google Book Search Project, is currently limited to the United States. In this article I consider whether the Project could be extended to Australia at a later date, how Google might go about doing this, and the implications of such an extension under the Copyright Act 1968 (Cth). I argue that without prior agreements with rightholders, our limited exceptions to copyright infringement mean that Google is unlikely to be able to extend the full scope of the Project to Australia without infringing copyright.

The little grey cat engine

The little grey cat engine (greyCat) is part of a series of projects which explore software which can enable access to the potentially empowering nature of represented space and game design. GreyCat is the result of research into the culture of the software itself in order to provide participatory environments which enable the telling of ‘small stories’ – stories and experiences which are those of the everyday or those of a cultural perspective other than that prioritised by most world building softwares or game engines. GreyCat offers a simple framework which allows participants to use their own image materials (photographs for the most part) as a basis for spatial exploration of their own places.---------- Truna aka j.turner (2008) The little grey cat engine: telling small stories (Demo), Australasian Computer Human Interaction Conference, OZCHI 2008, December 8th-12th, Cairns, Australia---------- Research Publications: truna aka j.turner & Browning, D. (2009) Designing spatial story telling software, in proceedings OZCHI09, Melbourne---------- Truna aka j.turner, Browning, D. & Champion, E. (2008) Designing for Engaged Experience, In proceedings Australasian Computer Human Interaction Conference, OZCHI 2008, December 8th-12th, Cairns, Australia---------- Truna aka. J.turner & Bidwell, N. (2007) Through the looking glass: game worlds as representations and views from elsewhere, Proceedings of the 4th Australasian conference on Interactive entertainment, Melbourne, Australia---------- Truna aka j.turner, Browning, D & Bidwell, N. (2007) Wanderer beyond game worlds, in proceedings, Hutchinson, A (ed) PerthDAC 2007: The seventh International Digital Arts and Culture Conference: The future of digital media culture, 15-18 September 2007, Perth, Australia, Curtin University of Technology---------- Truna aka j.turner (2006) To explore strange new worlds: experience design in 3 dimensional immersive environments - role and place in a world as object of interaction, In proceedings, Australasian Computer Human Interaction Conference, OZCHI 2006, November 22nd-24th, Sydney, Australia, November 20th – 24th 2006, pp 26- 29---------- Truna aka j.turner (2006) Digital songlines environment (Demonstration), In proceedings 2006 International conference on Game research and development, Perth, Australia---------- Truna aka j.turner (2006) Destination Space: Experiential Spatiality and Stories, Special Session on Experiential Spatiality, In proceedings 2006 International conference on Game research and development, Perth, Australia

A penalty-based genetic algorithm for the composite SaaS placement problem in the cloud

Cloud computing is a latest new computing paradigm where applications, data and IT services are provided over the Internet. Cloud computing has become a main medium for Software as a Service (SaaS) providers to host their SaaS as it can provide the scalability a SaaS requires. The challenges in the composite SaaS placement process rely on several factors including the large size of the Cloud network, SaaS competing resource requirements, SaaS interactions between its components and SaaS interactions with its data components. However, existing applications’ placement methods in data centres are not concerned with the placement of the component’s data. In addition, a Cloud network is much larger than data center networks that have been discussed in existing studies. This paper proposes a penalty-based genetic algorithm (GA) to the composite SaaS placement problem in the Cloud. We believe this is the first attempt to the SaaS placement with its data in Cloud provider’s servers. Experimental results demonstrate the feasibility and the scalability of the GA.