M-Dimension : multi-characteristics based routing protocol in human associated delay-tolerant networks with improved performance over one dimensional classic models

Human associated delay-tolerant network (HDTN) is a new delay-tolerant network where mobile devices are associated with humans. It can be viewed from both their geographic and social dimensions. The combination of these different dimensions can enable us to more accurately comprehend a delay-tolerant network and consequently use this multi-dimensional information to improve overall network efficiency. Alongside the geographic dimension of the network which is concerned with geographic topology of routing, social dimensions such as social hierarchy can be used to guide the routing message to improve not only the routing efficiency for individual nodes, but also efficiency for the entire network.

We propose a multi-dimensional routing protocol (M-Dimension) for the human associated delay-tolerant network which uses the local information derived from multiple dimensions to identify a mobile node more accurately. Each dimension has a weight factor and is organized by the Distance Function to select an intermediary and applies multi-cast routing. We compare M-Dimension to existing benchmark routing protocols using the MIT Reality Dataset, a well-known benchmark dataset based on a human associated mobile network trace file. The results of our simulations show that M-Dimension has a significant increase in the average success ratio and is very competitive when End-to-End Delay of packet delivery is used in comparison to other multi-cast DTN routing protocols.

Our natives and wild blacks : enumeration as a statistical dimension of sovereignty in colonial Western Australia

This paper investigates the Western Australian colonial authorities' attempts at defining and categorising a "politically relevant" Aboriginal population from first settlement in 1829 until 1850. Studies of colonial enumeration allow us to understand how colonial authorities viewed the spaces and boundaries of settlement and beyond, and who would be included as part of the community inhabiting that space. Enumeration of Aboriginal people in this period mirrored the Western Australian colonial authorities' conception of their sovereignty: the territory which they could effectively control was not the entire western third of the continent, as the map dictated, but rather the surveyed country, within the "limits of settlement." While other studies of colonial census making reveal enumeration as an instrument of control, this paper identifies colonial census making about Indigenous Western Australians in this period as an instance of state incapacity to govern and control. While "control" was the colonial authorities' key objective in their enumerations, the census reports reveal their inability to know the Aboriginal population.

Packing process

"Packing Process" encompasses a series of instructional diagrams that give advice of how to "pack" a bag efficiently. Comprised of five instructional series, A3 digital prints. Exhibited as part of the "Exploring Creative Spaces" exhibition at Robina Art Gallery, Robina Community Centre, with works by Haya Cohen & Sonya Nielsen-Brown, 19 March - 2 April 2013.

Packing as practice: creative knowledges through material interactions

Contemporary travellers are presented with a range of material, spatial, bodily and environmental interactions, and may use these to develop experiential modes of creative knowledge production. The study of tourism has had many recent calls for a greater awareness to the interactions between humans and non-humans, particularly the importance of material encounters we have in-transit.

Examining the process of packing a bag, this paper advocates the need for a greater understanding of materiality within travel processes that leads to collaborative and creative knowledges. In addition the process of packing a bag evolves into a creative practice that facilitates a series of strategies that assist in reconceptualising traditional notions of materiality. A rethinking of material interactions presents affirmative, global, and nomadic encounters for a multitude of actors and situations. In the rigorous, daily process of packing, objects are transformed into fluid, malleable forms – as a mass of material that is being collaboratively negotiated.

A range of interdisciplinary propositions, such as Bruno Latour’s collective action and Rosi Braidotti’s nomadic theory, suggest how we may conceive of objects not as singular forms situated within specific representations. These theories open up methods of embodied and situated knowledge production that informs how we, as global citizens, shift between individual and collective modes of experience. Drawing on interviews and photographic documentation of travellers, this paper discusses the potential of creative practices to reveal an array of affective, relational situations that hold potential for collaborative forms of knowledge production.

Incorporating the aesthetic dimension into pedagogy

One of the dimensions of learning experiences, which is not often given much attention outside of the creative arts, is the aesthetic dimension. In this paper we report on a study we conducted which explores the importance of learning through aesthetic experiences as identified by Dewey. While there is literature available which engages with the significance of such experiences (Hinchliffe, 2011; Nakamura, 2009) there is little which explores the nexus between this and specific practices in classrooms. Through examining pedagogical practices and beliefs of some exemplary teachers (as identified by their community), our study uncovered some approaches which offer alternate considerations for pedagogy. These have the potential to further enrich the sometimes static nature of the ‘official’ curriculum (Apple, 2000) as often assumed by pre-service teachers who attempt to deliver it through experiences.

Illumination-invariant face recognition from a single image across extreme pose using a dual dimension AAM ensemble in the thermal infrared spectrum

Over the course of the last decade, infrared (IR) and particularly thermal IR imaging based face recognition has emerged as a promising complement to conventional, visible spectrum based approaches which continue to struggle when applied in practice. While inherently insensitive to visible spectrum illumination changes, IR data introduces specific challenges of its own, most notably sensitivity to factors which affect facial heat emission patterns, e.g. emotional state, ambient temperature, and alcohol intake. In addition, facial expression and pose changes are more difficult to correct in IR images because they are less rich in high frequency detail which is an important cue for fitting any deformable model. In this paper we describe a novel method which addresses these major challenges. Specifically, when comparing two thermal IR images of faces, we mutually normalize their poses and facial expressions by using an active appearance model (AAM) to generate synthetic images of the two faces with a neutral facial expression and in the same view (the average of the two input views). This is achieved by piecewise affine warping which follows AAM fitting. A major contribution of our work is the use of an AAM ensemble in which each AAM is specialized to a particular range of poses and a particular region of the thermal IR face space. Combined with the contributions from our previous work which addressed the problem of reliable AAM fitting in the thermal IR spectrum, and the development of a person-specific representation robust to transient changes in the pattern of facial temperature emissions, the proposed ensemble framework accurately matches faces across the full range of yaw from frontal to profile, even in the presence of scale variation (e.g. due to the varying distance of a subject from the camera). The effectiveness of the proposed approach is demonstrated on the largest public database of thermal IR images of faces and a newly acquired data set of thermal IR motion videos. Our approach achieved perfect recognition performance on both data sets, significantly outperforming the current state of the art methods even when they are trained with multiple images spanning a range of head views.

Effects of milling time on powder packing characteristics and compressive mechanical properties of sintered Ti-10Nb-3Mo alloy

The influence of milling time on the powder packing characteristics and compressive mechanical properties of a biomedical Ti-10Nb-3Mo alloy (wt.%) was investigated. Ball milling was performed on elemental metal powders at different milling times of 0 (blended), 2, 4, 6, 8, and 10 h. This article demonstrates that despite the beneficial effects of ball milling technique in the mechanical alloying of the Ti-based alloy, the ball-milled powders synthesized at longer milling times can adversely affect the packing density and significantly diminish the compressive mechanical properties of the sintered powders. Crown

Influence of non-hydrolysable groups in silane precursor on pore dimension and photochromic properties of sol-gel silica embedded with a spirooxazine dye

In this work, silica embedded with a spirooxazine dye was prepared by hydrolysis of silanes that bear a nonhydrolyzable group of different structures through a sol-gel route in the presence of a spirooxazine dye, and the pore dimension and photochromic properties of photochromic silica coatings on fabric were studied. The pore dimension in the silica was examined by small angle X-ray scattering (SAXS), transmission electron microscopy (TEM), and nitrogen adsorption porosimetry. The SAXS results revealed that the distance between pores was in the range between 0.8 nm and 1.9 nm and it increased with increasing the size of the non-hydrolyzable group. Pore size measured by nitrogen adsorption porosimetry was in the range of 2.1-2.7 nm. The photochromic optical absorption was influenced mainly by the hydrophobicity of the non-hydrolyzable groups, while the color changing rates were influenced by the steric effect of the non-hydrolyzable groups and their interaction with the dye.

Effects of packing geometry upon the aggregation morphology of sodium cholate on the surface of carbon nanotubes

The superior geometry and mechanical properties of Carbon Nanotubes (CNTs) make CNTcomposite very attractive. Surfactants are normally used to uniformly disperse CNTs in the composite matrix.Molecular Mechanics simulations are conducted to investigate the interaction between the surfactant SodiumCholate (SC) and a Single-Walled Carbon Nanotube (SWCNT). The results indicate that morphology with SClying flatly on the SWCNT surface produces stronger attraction than SC aggregation with hemi-cylindricaland cylindrical shape. The attraction between individual SC and the SWCNT decreases as the surface density(number of SC per unit area of SWCNT surface) increases. Optimum packing surface densities for parallel,hemi-cylindrical and cylindrical aggregation are found to be 2.0, 3.4 and 6.7 molecules / nm2, respectively,which correspond to surfactant/CNT mass ratio around 2, 3.0 and 6.5, respectively.

‘We just call them people’: positive regard as a dimension of culture in group homes for people with severe intellectual disability

BackgroundA dimension of the culture in group homes is staff regard for residents. In underperforming group homes, staff regard residents as being not ‘like us’ (Bigby, Knox, Beadle-Brown, Clement & Mansell, 2012). We hypothesized the opposite pole of this dimension, in higher performing group homes, would be that staff regard residents positively.MethodThree in-depth qualitative case studies were conducted in higher performing group homes using participant observation, interviews and document review.ResultsConsistent pattern of staff practices and talk, as well as artefacts, demonstrated staff had a positive regard for residents, who were seen as being ‘like us’. Explicit and continuing attention was given to sustaining positive regard for residents in everyday staff practices and to turning abstract values into concrete realities.ConclusionsThis positive cultural norm was established, operationalized and embedded through structures, such as a formal policy about language, and processes such as peer monitoring and practice leadership.

Testing for predictability in panels of any time series dimension

The few panel data tests for the predictability of returns that exist are based on the prerequisite that both the number of time series observations, T, and the number of cross-section units, N, are large. As a result, it is impossible to apply these tests to stock markets, where lengthy time series of data are scarce. In response to this, the current paper develops a new test for predictability in panels where N is large and T≥. 2 can be either small or large, or indeed anything in between. This consideration represents an advancement relative to the usual large-. N and large-. T requirement. The new test is also very general, especially when it comes to allowable predictors, and is easy to implement. As an illustration, we consider the Chinese stock market, for which data are available for only 17 years, but where the number of firms is relatively large, 160.

Learning stable weights for data of varying dimension

In this paper we develop a data-driven weight learning method for weighted quasi-arithmetic means where the observed data may vary in dimension.