Burglar target selection : a cross-national comparison

Objectives This study builds on research undertaken by Bernasco and Nieuwbeerta and explores the generalizability of a theoretically derived offender target selection model in three cross-national study regions. Methods Taking a discrete spatial choice approach, we estimate the impact of both environment- and offender-level factors on residential burglary placement in the Netherlands, the United Kingdom, and Australia. Combining cleared burglary data from all study regions in a single statistical model, we make statistical comparisons between environments. Results In all three study regions, the likelihood an offender selects an area for burglary is positively influenced by proximity to their home, the proportion of easily accessible targets, and the total number of targets available. Furthermore, in two of the three study regions, juvenile offenders under the legal driving age are significantly more influenced by target proximity than adult offenders. Post hoc tests indicate the magnitudes of these impacts vary significantly between study regions. Conclusions While burglary target selection strategies are consistent with opportunity-based explanations of offending, the impact of environmental context is significant. As such, the approach undertaken in combining observations from multiple study regions may aid criminology scholars in assessing the generalizability of observed findings across multiple environments.

Structural damage detection method using frequency response functions

Structural damage detection using measured dynamic data for pattern recognition is a promising approach. These pattern recognition techniques utilize artificial neural networks and genetic algorithm to match pattern features. In this study, an artificial neural network–based damage detection method using frequency response functions is presented, which can effectively detect nonlinear damages for a given level of excitation. The main objective of this article is to present a feasible method for structural vibration–based health monitoring, which reduces the dimension of the initial frequency response function data and transforms it into new damage indices and employs artificial neural network method for detecting different levels of nonlinearity using recognized damage patterns from the proposed algorithm. Experimental data of the three-story bookshelf structure at Los Alamos National Laboratory are used to validate the proposed method. Results showed that the levels of nonlinear damages can be identified precisely by the developed artificial neural networks. Moreover, it is identified that artificial neural networks trained with summation frequency response functions give higher precise damage detection results compared to the accuracy of artificial neural networks trained with individual frequency response functions. The proposed method is therefore a promising tool for structural assessment in a real structure because it shows reliable results with experimental data for nonlinear damage detection which renders the frequency response function–based method convenient for structural health monitoring.

An Investigation into the Options for Increasing the Extent of Energy Efficiency Knowledge and Skills in Engineering Education

Society is increasingly calling for professionals across government, industry, business and civil society to be able to problem-solve issues related to climate change and sustainable development as part of their work. In particular there is an emerging realisation of the fundamental need to swiftly reduce the growing demand for energy across society, and to then meet the demand with low emissions options. A key ingredient to addressing such issues is equipping professionals with emerging knowledge and skills to address energy challenges in all aspects of their work. The Council of Australian Governments has recognised this need, signing the National Partnership Agreement on Energy Efficiency in July 2009, which included a commitment to assist business and industry obtain the knowledge, skills and capacity to pursue cost-effective energy efficiency opportunities.2 Engineering will play a critical part among the professions, with Engineers Australia acknowledging that, ‘The need to make changes in the way energy is used and supplied throughout the world represents the greatest challenge to engineers in moving toward sustainability.’

NEU-MODEL : a multi-level object-oriented dynamic emulation laboratory

Computational neuroscience aims to elucidate the mechanisms of neural information processing and population dynamics, through a methodology of incorporating biological data into complex mathematical models. Existing simulation environments model at a particular level of detail; none allow a multi-level approach to neural modelling. Moreover, most are not engineered to produce compute-efficient solutions, an important issue because sufficient processing power is a major impediment in the field. This project aims to apply modern software engineering techniques to create a flexible high performance neural modelling environment, which will allow rigorous exploration of model parameter effects, and modelling at multiple levels of abstraction.

Structural complexity in structural health monitoring: Design of laboratory model and test plan

Many researchers in the field of civil structural health monitoring (SHM) have developed and tested their methods on simple to moderately complex laboratory structures such as beams, plates, frames, and trusses. Fieldwork has also been conducted by many researchers and practitioners on more complex operating bridges. Most laboratory structures do not adequately replicate the complexity of truss bridges. Informed by a brief review of the literature, this paper documents the design and proposed test plan of a structurally complex laboratory bridge model that has been specifically designed for the purpose of SHM research. Preliminary results have been presented in the companion paper.

Limitations of a laboratory scale model in predicting optimal pilot scale conditions for dilute acid pretreatment of sugarcane bagasse

Pilot and industrial scale dilute acid pretreatment data can be difficult to obtain due to the significant infrastructure investment required. Consequently, models of dilute acid pretreatment by necessity use laboratory scale data to determine kinetic parameters and make predictions about optimal pretreatment conditions at larger scales. In order for these recommendations to be meaningful, the ability of laboratory scale models to predict pilot and industrial scale yields must be investigated. A mathematical model of the dilute acid pretreatment of sugarcane bagasse has previously been developed by the authors. This model was able to successfully reproduce the experimental yields of xylose and short chain xylooligomers obtained at the laboratory scale. In this paper, the ability of the model to reproduce pilot scale yield and composition data is examined. It was found that in general the model over predicted the pilot scale reactor yields by a significant margin. Models that appear very promising at the laboratory scale may have limitations when predicting yields on a pilot or industrial scale. It is difficult to comment whether there are any consistent trends in optimal operating conditions between reactor scale and laboratory scale hydrolysis due to the limited reactor datasets available. Further investigation is needed to determine whether the model has some efficacy when the kinetic parameters are re-evaluated by parameter fitting to reactor scale data, however, this requires the compilation of larger datasets. Alternatively, laboratory scale mathematical models may have enhanced utility for predicting larger scale reactor performance if bulk mass transport and fluid flow considerations are incorporated into the fibre scale equations. This work reinforces the need for appropriate attention to be paid to pilot scale experimental development when moving from laboratory to pilot and industrial scales for new technologies.

Implementation of National Rental Affordability Scheme in Queensland

In 2008 the Australian government introduced the National Rental Affordability Scheme (NRAS) to increase the supply of affordable rental in Australia. This Federal Government initiative was progressively rolled out through four different rounds over the years with fifth round to be announced some time in 2014. Although the scheme has been successful evident there have been numerous setbacks experienced. This paper focuses on understanding lessons learnt from the performance of the scheme to make recommendations for future government initiatives. This evaluation is based on the combination of document analysis, government officers as well as approved NRAS participants operating throughout Queensland. The most significant challenges for the NRAS participants is the involvement of three levels government which cause delays in the scheme approval process.

Cultural policy and Australia's national cultural heritage: Issues and challenges in the GLAM landscape

In 2012 the Australian Commonwealth government was scheduled to release the first dedicated policy for culture and the arts since the Keating government's Creative Nation (1994). Investing in a Creative Australia was to appear after a lengthy period of consultation between the Commonwealth government and all interested cultural sectors and organisations. When it eventuates, the policy will be of particular interest to those information professionals working in the GLAM (galleries, libraries, archives and museums) environment. GLAM is a cross-institutional field which seeks to find points of commonality among various cultural-heritage institutions, while still recognising their points of difference. Digitisation, collaboration and convergence are key themes and characteristics of the GLAM sector and its associated theoretical discipline. The GLAM movement has seen many institutions seeking to work together to create networks of practice that are beneficial to the cultural-heritage industry and sector. With a new Australian cultural policy imminent, it is timely to reflect on the issues and challenges that GLAM principles present to national cultural-heritage institutions by discussing their current practices. In doing so, it is possible to suggest productive ways forward for these institutions which could then be supported at a policy level by the Commonwealth government. Specifically, this paper examines four institutions: the National Gallery of Australia, the National Library of Australia, the National Archives of Australia and the National Museum of Australia. The paper reflects on their responses to the Commonwealth's 2011 Cultural Policy Discussion Paper. It argues that by encouraging and supporting collecting institutions to participate more fully in GLAM practices the Commonwealth government's cultural policy would enable far greater public access to, and participation in, Australia's cultural heritage. Furthermore, by considering these four institutions, the paper presents a discussion of the challenges and the opportunities that GLAM theoretical and disciplinary principles present to the cultural-heritage sector. Implications for Best Practice * GLAM is a developing field of theory and practice that encompasses many issues and challenges for practitioners in this area. * GLAM principles and practices are increasingly influencing the cultural-heritage sector. * Cultural policy is a key element in shaping the future of Australia's cultural-heritage sector and needs to incorporate GLAM principles.

Visual control of an electrohydraulic manipulator for underground mining applications

A large range of underground mining equipment makes use of compliant hydraulic arms for tasks such as rock-bolting, rock breaking, explosive charging and shotcreting. This paper describes a laboratory model electo-hydraulic manipulator which is used to prototype novel control and sensing techniques. The research is aimed at improving the safety and productivity of these mining tasks through automation, in particular the application of closed-loop visual positioning of the machine's end-effector.

Understanding pressures on the future of roads: A sustainable built environment National Research Centre Discussion Paper

According to the Australian Government, when combined with expected population growth and internal migration, expected changes in temperature and rainfall are expected to increase road maintenance costs by over 30 percent by 2100. This presents a significant future economic risk, in response, this paper will discuss the potential for roads to improve their resilience to the impacts of climate change and other key pressures. The paper will also highlight how such measures can inform state and national main road infrastructure planning and reduce future associated risks and costs.

A taste of best practice in engineering sustainable solutions

This paper asks the question to what scale and speed does society need to reduce its ecological footprint and improve resource productivity to prevent further overshoot and return within the ecological limits of the earth’s ecological life support systems? How fast do these changes need to be achieved? The paper shows that now a large range of studies find that engineering sustainable solutions need to be roughly an order or magnitude resource productivity improvement (sometimes called a Factor of 10, or a 90% reduction) by 2050 to achieve real and lasting ecological sustainability. This marks a significant challenge for engineers – indeed all designers and architects, where best practice in engineering sustainable solutions will need to achieve large resource productivity targets. The paper brings together examples of best practice in achieving these large targets from around the world. The paper also highlights key resources and texts for engineers who wish to learn how to do it. But engineers need to be realistic and patient. Significant barriers exist to achieving Factor 4-10 such as the fact that infrastructure and technology rollover and replacement is often slow. This slow rollover of the built environment and technology is the context within which most engineers work, making the goal of achieving Factor 10 all the more challenging. However, the paper demonstrates that by using best practice in engineering sustainable solutions and by addressing the necessary market, information and institutional failures it is possible to achieve Factor 10 over the next 50 years. This paper draws on recent publications by The Natural Edge Project (TNEP) and partners, including Hargroves, K. Smith, M. (Eds) (2005) The Natural Advantage of Nations: Business Opportunities, Innovation and Governance for the 21st Century, and the TNEP Engineering Sustainable Solutions Program - Critical Literacies for Engineers Portfolio. Both projects have the significant support of Engineers Australia. its College of Environmental Engineers and the Society of Sustainability and Environmental Engineering.

Structural identification of a laboratory-based steel through truss cantilevered bridge with suspended span using a layered genetic algorithm with patternsearch step (GAPS)

Structural identification (St-Id) can be considered as the process of updating a finite element (FE) model of a structural system to match the measured response of the structure. This paper presents the St-Id of a laboratory-based steel through-truss cantilevered bridge with suspended span. There are a total of 600 degrees of freedom (DOFs) in the superstructure plus additional DOFs in the substructure. The St-Id of the bridge model used the modal parameters from a preliminary modal test in the objective function of a global optimisation technique using a layered genetic algorithm with patternsearch step (GAPS). Each layer of the St-Id process involved grouping of the structural parameters into a number of updating parameters and running parallel optimisations. The number of updating parameters was increased at each layer of the process. In order to accelerate the optimisation and ensure improved diversity within the population, a patternsearch step was applied to the fittest individuals at the end of each generation of the GA. The GAPS process was able to replicate the mode shapes for the first two lateral sway modes and the first vertical bending mode to a high degree of accuracy and, to a lesser degree, the mode shape of the first lateral bending mode. The mode shape and frequency of the torsional mode did not match very well. The frequencies of the first lateral bending mode, the first longitudinal mode and the first vertical mode matched very well. The frequency of the first sway mode was lower and that of the second sway mode was higher than the true values, indicating a possible problem with the FE model. Improvements to the model and the St-Id process will be presented at the upcoming conference and compared to the results presented in this paper. These improvements will include the use of multiple FE models in a multi-layered, multi-solution, GAPS St-Id approach.

Understanding the performance of green commercial buildings: a Sustainable Built Environment National Research Centre (SBEnrc) briefing report

Efforts to reduce carbon emissions in the buildings sector have been focused on encouraging green design, construction and building operation; however, the business case is not very compelling if considering the energy cost savings alone. In recent years green building has been driven by a sense that it will improve the productivity of occupants,something with much greater economic returns than energy savings. Reducing energy demand in green commercial buildings in a way that encourages greater productivity is not yet well understood as it involves a set of complex and interdependent factors. This project investigates these factors and focuses on the performance of and interaction between: green design elements, internal environmental quality, occupant experience, tenant/leasing agreements, and building regulation and management. This paper suggests six areas of strategic research that are needed to understand how conditions can be created to support productivity in green buildings, and deliver significant energy consumption reductions.