Image-based safety assessment : automated spatial safety risk identification of earthmoving and surface mining activities

This paper presents an automated image‐based safety assessment method for earthmoving and surface mining activities. The literature review revealed the possible causes of accidents on earthmoving operations, investigated the spatial risk factors of these types of accident, and identified spatial data needs for automated safety assessment based on current safety regulations. Image‐based data collection devices and algorithms for safety assessment were then evaluated. Analysis methods and rules for monitoring safety violations were also discussed. The experimental results showed that the safety assessment method collected spatial data using stereo vision cameras, applied object identification and tracking algorithms, and finally utilized identified and tracked object information for safety decision making.

Spatial population genetic structure reveals strong natal site fidelity in Echinocladius martini (Diptera: Chironomidae) in northeast Queensland, Australia

1. A diverse array of patterns has been reported regarding the spatial extent of population genetic structure and effective dispersal in freshwater macroinvertebrates. In river systems, the movements of many taxa can be restricted to varying degrees by the natural stream channel hierarchy. 2. In this study, we sampled populations of the non-biting freshwater midge Echinocladius martini in the Paluma bioregion of tropical northeast Queensland to investigate fine scale patterns of within- and among-stream dispersal and gene flow within a purported historical refuge. We amplified a 639 bp fragment of mitochondrial COI and analysed genetic structure using pairwise ΦST, hierarchical AMOVA, Mantel tests and a parsimony network. Genetic variation was partitioned among stream sections using Streamtree to investigate the effect of potential instream dispersal barriers. 3. The data revealed strong natal site fidelity and significant differentiation among neighbouring, geographically proximate streams. We found evidence for only episodic adult flight among sites on separate stream reaches. Overall, however, our data suggested that both larval and adult dispersal was largely limited to within a stream channel. 4. This may arise from a combination of the high density of riparian vegetation physically restricting dispersal and from the joint effects of habitat stability and large population sizes. Together these may mitigate the requirement for movement among streams to avoid inbreeding and local extinction due to habitat change and may thus enable persistence of upstream populations in the absence of regular compensatory upstream flight. Taken together, these data suggest that dispersal of E. martini is highly restricted, to the scale of only a few kilometres, and hence occurs predominantly within the natal stream.

Design of a preliminary error impact analysis model for spatial safety assessment of earthmoving operations

Regardless of technology benefits, safety planners still face difficulties explaining errors related to the use of different technologies and evaluating how the errors impact the performance of safety decision making. This paper presents a preliminary error impact analysis testbed to model object identification and tracking errors caused by image-based devices and algorithms and to analyze the impact of the errors for spatial safety assessment of earthmoving and surface mining activities. More specifically, this research designed a testbed to model workspaces for earthmoving operations, to simulate safety-related violations, and to apply different object identification and tracking errors on the data collected and processed for spatial safety assessment. Three different cases were analyzed based on actual earthmoving operations conducted at a limestone quarry. Using the testbed, the impacts of the errors were investigated for the safety planning purpose.

Assessing the awareness and importance of housing sustainability in Queensland

Sustainability has been a major factor and determinant of commercial property design, construction, retro-fitting and landlord and tenant requirements over the last decade, supported by the introduction of rating tools such as NABERS and GreenStar and the recently mandated Building Energy Efficiency Certificate (BEEC). However, the movement to sustainable and energy efficient housing has not been established for the same period, and although mandatory building regulations have been in place for new residential housing construction since 2004, the requirement to improve the sustainability and energy efficiency of housing constructed prior to 2004 has not been mandatory. Residential dwelling energy efficiency and rating schemes introduced in Australia over the past decade have included rating schemes such as BASIX, NatHERS, First rate, ACTHERS, and Building Code of Australia and these have applied to new dwelling construction. At both National and State level the use of energy efficiency schemes for existing residential dwellings has been voluntary and despite significant cash incentives have not always been successful or achieved widespread take-up. In 2010, the Queensland Government regulated that all homes offered for sale, whether a new or existing dwellings require the seller to provide a ―sustainability declaration‖ that provides details of the sustainability measures associated with the dwelling being sold. The purpose of this declaration being to inform buyers and increase community awareness of home sustainability features. This paper uses an extensive review of real estate marketing material, together with a comprehensive survey of real estate agents to analyse the current market compliance, awareness and acceptance of existing green housing regulations and the importance that residential property owners and purchasers place on energy efficient and sustainable housing. The findings indicate that there is still little community awareness or concern of sustainable housing features when making home purchase decisions.

Probability distributed time delays: integrating spatial effects into temporal models

Background In order to provide insights into the complex biochemical processes inside a cell, modelling approaches must find a balance between achieving an adequate representation of the physical phenomena and keeping the associated computational cost within reasonable limits. This issue is particularly stressed when spatial inhomogeneities have a significant effect on system's behaviour. In such cases, a spatially-resolved stochastic method can better portray the biological reality, but the corresponding computer simulations can in turn be prohibitively expensive. Results We present a method that incorporates spatial information by means of tailored, probability distributed time-delays. These distributions can be directly obtained by single in silico or a suitable set of in vitro experiments and are subsequently fed into a delay stochastic simulation algorithm (DSSA), achieving a good compromise between computational costs and a much more accurate representation of spatial processes such as molecular diffusion and translocation between cell compartments. Additionally, we present a novel alternative approach based on delay differential equations (DDE) that can be used in scenarios of high molecular concentrations and low noise propagation. Conclusions Our proposed methodologies accurately capture and incorporate certain spatial processes into temporal stochastic and deterministic simulations, increasing their accuracy at low computational costs. This is of particular importance given that time spans of cellular processes are generally larger (possibly by several orders of magnitude) than those achievable by current spatially-resolved stochastic simulators. Hence, our methodology allows users to explore cellular scenarios under the effects of diffusion and stochasticity in time spans that were, until now, simply unfeasible. Our methodologies are supported by theoretical considerations on the different modelling regimes, i.e. spatial vs. delay-temporal, as indicated by the corresponding Master Equations and presented elsewhere.

Here’s a story : using student podcasts to raise awareness of language

Thirty-five years ago, a landmark article entitled 'What The "Good Language Learner" Can Teach Us' suggested that if more was known about what 'successful learners' did, then those strategies could be taught to poorer learners to enhance learning (Rubin, 1975, p. 42). Since publication of Rubin's article, language instruction has begun to encompass technological applications (Chinnery, 2006) through mobile-assisted language learning (MALL or m-learning) like podcasts. Podcasting extends the classroom, offers convenience for diverse learners, and provides authentic listening opportunities. Although the effects of podcasting in higher education have yet to be investigated (Educause, 2007), this article describes how action research lead to the creation of a student learning strategy webpage featuring peer podcasts and successful language learning strategies in higher education.