Multiresolution analysis of connectivity

Multiresolution histograms have been used for indexing and retrieval of images. Multiresolution histograms used traditionally are 2d-histograms which encode pixel intensities. Earlier we proposed a method for decomposing images by connectivity. In this paper, we propose to encode centroidal distances of an image in multiresolution histograms; the image is decomposed a priori, by connectivity. Multiresolution histograms thus obtained are 3d-histograms which encode connectivity and centroidal distances. The statistical technique of Principal Component Analysis is applied to multiresolution 3d-histograms and the resulting data is used to index images. Distance between two images is computed as the L2-difference of their principal components. Experiments are performed on Item S8 within the MPEG-7 image dataset. We also analyse the effect of pixel intensity thresholding on multiresolution images.

Discriminating shape descriptors based on connectivity

We propose a method for enhancing the accuracy of shape descriptors. The concept of connectivity to obtain discriminating shape descriptors, is introduced. We show how connectivity is applied to two popular shape descriptors. Experiments are performed to test the effect of using connectivity with generic Fourier descriptors and distance histograms. Item S8 within the MPEG-7 still images content set is used for performing experiments. This dataset consists of 3621 still images. The experimental results show that connectivity enhances the performance of the methods significantly.

Multi-scale analysis of connectivity for image retrieval

Previously, we proposed the concept of connectivity to obtain discriminating shape descriptors. In this paper, we use connectivity to obtain superior distance histograms for multi-scale images. Experiments are performed to evaluate the distance histograms, based on connectivity, for shape-based retrieval of multi-scale images. Item S8 within the MPEG-7 still images content set is used for performing experiments. Experimental results show that the proposed method enhances retrieval performance significantly.

Role of multi-tenure reserve networks in improving reserve design and connectivity

Multi-tenure reserve networks aim to connect areas managed for biodiversity conservation across public and private land. This paper seeks to determine to what extent multi-tenure reserve networks improve the reserve design and connectivity of the public protected area estate, using three networks in southeastern Australia as case studies. Network configuration varied considerably and those networks with generally larger parcels tended to be better connected. On average, public land components were larger than private land components in all networks. Two networks had 18 components physically adjoining other network components while another had only 6 components adjoining. Importantly for two of the networks, the average distance between the nearest neighbouring component was significantly less than average distances between public protected areas in the subregion. Thus these multi-tenure reserve networks acted to enhance the existing public protected area estate by increasing the potential linkages in the landscape and therefore the viability of individual public protected areas.

The density connectivity information bottleneck

Clustering with the agglomerative Information Bottleneck (aIB) algorithm suffers from the sub-optimality problem, which cannot guarantee to preserve as much relative information as possible. To handle this problem, we introduce a density connectivity chain, by which we consider not only the information between two data elements, but also the information among the neighbors of a data element. Based on this idea, we propose DCIB, a Density Connectivity Information Bottleneck algorithm that applies the Information Bottleneck method to quantify the relative information during the clustering procedure. As a hierarchical algorithm, the DCIB algorithm produces a pruned clustering tree-structure and gets clustering results in different sizes in a single execution. The experiment results in the documentation clustering indicate that the DCIB algorithm can preserve more relative information and achieve higher precision than the aIB algorithm.

Ripple effect : an improved geographic routing with local connectivity information

One of the key challenges in geographic routing is how to deal with dead-ends, where greedy routing fails to find a neighbor node which is closer to the destination. Most existing geographic routing algorithms just switch to the deterministic face routing or limits its face searching range. In this paper, we demonstrate that we can improve routing performance by considering local connectivity status at each node before making routing decision. We present a protocol, Density Ripple Exchange (DRE), that maintains local density information at each node, and a new geographic routing algorithm, Geographic Ripple Routing (GRR), that achieves better routing performance in both hop stretch and transmission stretch than existing geographic routing algorithms by exploiting available connectivity information. Our simulations demonstrate that we increased the performance for GRR over Greedy Perimeter Stateless Routing (GPSR) by about 15%. The cost of this improved performance is a small amount of additional local connectivity information required for our algorithm.

Multi-tenure reserve networks as a means to facilitate landscape and sub-continental connectivity?

There has been increased focus on establishing landscape and sub-continental scale linkages and corridors in Australia in recent years. These include the WildCountry, Alps to Atherton, Naturelinks and Gondwana Link initiatives. However, there has been little discussion as to what the underlying tenure, land use and protection mechanisms might look like on the ground. The development of Biosphere Reserves and Conservation Management Networks (collectively ‘multi-tenure reserve networks’) which incorporate public and private conservation lands under a variety of tenures and protection mechanisms provides example of how this might be achieved.

Whilst the rhetoric has been strong the amount of actual research on what multi-tenure reserve networks mean in practice has been limited. This paper reflects on the lessons acquired from research into these networks and discusses with this practical insight the difference between rhetoric and performance in this vital area. In particular we discuss some of the ecological, social, governance and legal aspects of these networks. We will also proceed to hypothesise on what the future challenges are for multi-tenure reserve networks and what will be needed to overcome these challenges.

Hydrologic model for the Woady Yaloak River catchment

A hydrologic model was developed to predict the long-term impacts of land use change on the hydrology of the Woady Yaloak River catchment. The model can be used by catchment managers to formulate management decisions about land use changes expected to occur across the catchment in the future.

GeoConnect : geographic and connectivity-aware routing protocol for wireless sensor network

Sensor nodes are closely tied with their geographic location and their connectivity. In recent years many routing protocols have been developed to provide efficient strategy. But most of them are either focus on the geographic proximity or on connectivity. However in sparse network, Geographic routing would fail at local dead ends where a node has no neighbour closer to destination. In contrast, connectivity-based routing may result in non-optimal path and overhead management. In this paper we designed a scalable and distributed routing protocol, GeoConnect, which considers geographic proximity and connectivity for choosing next hop. In GeoConnecl, we construct a new naming system that integrates geographic and connectivity information into a node identification. We use dissimilarity function to compute the dissimilarity and apply a distributed routing algorithm to route packets. The experimental results show that GeoConnect routing provides robust and better performance than sole geographic routing or connectivity routing.

Connectivity-based shape descriptors

In this paper, we propose a method for indexing and retrieval of images based on shapes of objects. The concept of connectivity is introduced. 3D models are used to represent 2D images. 2D images are decomposed a priori using connectivity which is followed by 3D model construction. 3D model descriptors are obtained for 3D models and used to represent the underlying 2D shapes. We have used spherical harmonics descriptors as the 3D model descriptors. Difference between two images is computed as the Euclidean distance between their descriptors. Experiments are performed to test the effectiveness of spherical harmonics for retrieval of 2D images. The proposed method is compared with methods based on principal components analysis (PCA) and generic Fourier descriptors (GFD). It is found that the proposed method is effective. Item S8 within the MPEG-7 still images content set is used for performing experiments.

Paper 4 : Schooling, identity and social connectivity

This paper will report on the progress of a large three year Australian Research Council (ARC) grant awarded to a multidisciplinary team of researchers in Victoria, Australia. The research, A multi-disciplinary investigation of how trauma and chronic illness impact on schooling, identity and social connectivity commenced in 2007 and is known as Keeping Connected (2007). The research is a collaborative grant in partnership with the Royal Children’s Hospital Education Institute, in association with the Melbourne Graduate School of Education, University of Melbourne and the Centre for Adolescent Health, Royal Children’s Hospital. The research aims to investigate qualitatively, longitudinally and through multiple perspectives how young people construct/reconstruct identity and relationships with schooling following disruption associated with chronic illness. Using a mixed methodology, but with a central focus on longitudinal qualitative studies from the perspective of the young people, the study aims to identify key elements of disruption or continued connection, and will illuminate identity issues of people facing this disruption at different age and schooling points. The research outcomes will support education and health practices and provide a differently focused empirical contribution to the literature on education and social connection. The paper works at mixing methods qualitatively, rather than focusing on the overall mixed method design of the study. Assemblages of social capital theory and sociomateriality may be a useful standpoint for the development of our empirical contribution.