Using Web 2.0 applications to deliver innovative services on the internet

The emergence of Web 2.0 has brought about new Web applications being developed. Represented chiefly by Web applications such as YouTube, MySpace, blogs and Google applications, these community-based technologies are changing the way we use the Internet. One interesting result of these innovations is the extensibility of these applications. For example, YouTubepsilas content can be displayed on other Websites and hence, are popularly dasiaextendedpsila to be displayed on individual blogs and other organization Websites. In this paper, we discussed two applications that were a result of extending Google Earth and Google Maps. These two applications illustrate how new solutions can be quickly built from these extensible applications thus suggesting the future of application development, one that is built upon applications rather than object-oriented components.

Communicating history A-historically

A paper delivered in tandem with the short film Threshold (Dirk De Bruyn, 20 minutes, 2014), which documents the history and childhood remembrances of the Geelong Waterfront using photographic material gleaned from the Geelong Heritage Centre, the Victorian State Library, the National Film and Sound Archive and Auckland War Memorial Museum alongside Google Maps.

Western maps/Yanyuwa meaning: an interview with John Bradley

In July 2003 an important one-volume text, Forget about Flinders: A Yanyuwa atlas of the south west gulf of Carpentaria produced in a limited edition of 14 copies, returned to Yanyuwa country and to the families who collaborated with John Bradley and artist Nona Cameron on the project. Subsequently, a second edition of 20 copies has been released, mainly to institutions. It is the most comprehensive attempt yet to restore Yanyuwa names to country and to produce a multilayered, dynamic, history-rich, and bilingual representation of how country is known in this community, and how the central song cycle texts intersect with Yanyuwa tradition. What follows is a condensed and edited interview with Frances Devlin-Glass, in which John Bradley discusses the motivations, the hybridised methodologies employed, the innovations of this new genre, and the pedagogical ends served by this latest iteration of Yanyuwa song cycles.

A multi-wavelet based technique for calculating dense 2D disparity maps from stereo

A vision based approach for calculating accurate 3D models of the objects is presented. Generally industrial visual inspection systems capable of accurate 3D depth estimation rely on extra hardware tools like laser scanners or light pattern projectors. These tools improve the accuracy of depth estimation but also make the vision system costly and cumbersome. In the proposed algorithm, depth and dimensional accuracy of the produced 3D depth model depends on the existing reference model instead of the information from extra hardware tools. The proposed algorithm is a simple and cost effective software based approach to achieve accurate 3D depth estimation with minimal hardware involvement. The matching process uses the well-known coarse to fine strategy, involving the calculation of matching points at the coarsest level with consequent refinement up to the finest level. Vector coefficients of the wavelet transform-modulus are used as matching features, where wavelet transform-modulus maxima defines the shift invariant high-level features with phase pointing to the normal of the feature surface. The technique addresses the estimation of optimal corresponding points and the corresponding 2D disparity maps leading to the creation of accurate depth perception model.

Developing and presenting conceptual maps of course content

Teaching online involves providing an environment that is interactive and engaging. A large part of this is providing suitable learning resources. In this talk we will demonstrate an efficient method for producing conceptual maps of the actual course content, showing the structure of the subject for students in a visual way. The structures that result allows for learning resources to be linked in as required. The maps are developed using PowerPoint but they can be deployed in a web-friendly format or on CD-ROM.

Producing a GIS based multiple criteria analysis tool for regional sustainability assessment: the problem of weighting

Decision support tools will be useful in guiding regions to sustainability. These need to be simple but effective at identifying, for regional managers, areas most in need of initiatives to progress sustainability. Multiple criteria analysis (MCA) is often used as a decision support tool for a wide range of applications. This method allows many criteria to be considered at one time. It does this by giving a ranking of possible options based on how closely each option meets the criteria. Thus, it is suited to the assessment of regional sustainability as it can consider a number of indicators simultaneously and demonstrates how sustainability can vary at small scales across the region. Coupling MCA with GIS to produce maps, allows this analysis to become visual giving the manager a picture of sustainability across the region. To do this each indicator is standardised to a common scale so that it can be compared to other indicators. A weighting is then applied to each indicator to calculate weighted summation for each area in the region. This paper argues that this is the critical step in developing a useful decision support tool. A study being conducted in south west Victoria demonstrates that the weights chosen can have a dramatic impact on the results of the sustainability assessment. It is therefore imperative that careful consideration be given to determining indicator weights in a way that is objective and fully considers the impact of that indicator on regional sustainability.

Clustering massive high dimensional data with dynamic feature maps

This paper presents an algorithm based on the Growing Self Organizing Map (GSOM) called the High Dimensional Growing Self Organizing Map with Randomness (HDGSOMr) that can cluster massive high dimensional data efficiently. The original GSOM algorithm is altered to accommodate for the issues related to massive high dimensional data. These modifications are presented in detail with experimental results of a massive real-world dataset.

Using multimedia concept maps to enhance the learner experience in business law

Students’ learning experience can be affected by difficulties in understanding the interrelationships between concepts and also between topics. Concept maps have been used in many disciplines (Kremer & Gains, 1996) to structure information and express relationships between them. Their holistic approach with multiple pathways through the learning resource can make relationships and linkages between topics and subtopics obvious, and contribute to a meaningful and positive learning experience. This paper outlines the development and formative evaluation of two hypermedia concept maps which led to the development of a series of eleven concept maps to enhance the learning experience of students in a first year undergraduate business law unit.

As part of the Stage 1 formative evaluation, two concept maps were developed together with supporting multimedia resources and trialled on the learners. Feedback was also obtained from technical staff. This phase was designed to assess and control the quality of the learning resource as well as the impact it had on the learning experience. The paper closes by discussing how information gained in Stage 1 was used in Stage 2 as a basis to modify the initially trialled maps and to develop the other supporting maps.

Using community-based monitoring with GIS to create habitat maps for a marine protected area in Australia

In recent years there has been an increase in community-based monitoring programmes developed and implemented worldwide. This paper describes how the data collected from such a programme could be integrated into a Geographic Information System (GIS) to create temperate subtidal marine habitat maps. A differential Global Positioning System was utilized to accurately record the location of the trained community-based SCUBA diver data. These georeferenced data sets were then used to classify benthic habitats using an aerial photograph and digitizing techniques. This study demonstrated that trained community-based volunteers can collect data that can be utilized within a GIS to create reliable and cost-effective maps of shallow temperate subtidal rocky reef systems.

Do animals have cognitive maps?

Drawing on studies of humans, rodents, birds and arthropods, I show that 'cognitive maps' have been used to describe a wide variety of spatial concepts. There are, however, two main definitions. One, sensu Tolman, O'Keefe and Nadel, is that a cognitive map is a powerful memory of landmarks which allows novel short-cutting to occur. The other, sensu Gallistel, is that a cognitive map is any representation of space held by an animal. Other definitions with quite different meanings are also summarised. I argue that no animal has been conclusively shown to have a cognitive map, sensu Tolman, O'Keefe and Nadel, because simpler explanations of the crucial novel short-cutting results are invariably possible. Owing to the repeated inability of experimenters to eliminate these simpler explanations over at least 15 years, and the confusion caused by the numerous contradictory definitions of a cognitive map. I argue that the cognitive map is no longer a useful hypothesis for elucidating the spatial behaviour of animals and that use of the term should be avoided.