A machine-driven process for human limb length estimation using inertial sensors

The computer based human motion tracking systems are widely used in medicine and sports. The accurate determination of limb lengths is crucial for not only constructing the limb motion trajectories which are used for evaluation process of human kinematics, but also individually recognising human beings. Yet, as the common practice, the limb lengths are measured manually which is inconvenient, time-consuming and requires professional knowledge. In this paper, the estimation process of limb lengths is automated with a novel algorithm calculating curvature using the measurements from inertial sensors. The proposed algorithm was validated with computer simulations and experiments conducted with four healthy subjects. The experiment results show the significantly low root mean squared error percentages such as upper arm - 5.16%, upper limbs - 5.09%, upper leg - 2.56% and lower extremities - 6.64% compared to measured lengths.

A generative design system based on evolutionary and mathematical functions

Previous work by Professor John Frazer on Evolutionary Architecture provides a basis for the development of a system evolving architectural envelopes in a generic and abstract manner. Recent research by the authors has focused on the implementation of a virtual environment for the automatic generation and exploration of complex forms and architectural envelopes based on solid modelling techniques and the integration of evolutionary algorithms, enhanced computational and mathematical models. Abstract data types are introduced for genotypes in a genetic algorithm order to develop complex models using generative and evolutionary computing techniques. Multi-objective optimisation techniques are employed for defining the fitness function in the evaluation process.

How should a vocational education and training course be evaluated?

The course evaluation process used by a large VET provider was evaluated using guidelines suggested by the course evaluation literature and feedback obtained from multiple stakeholders. A modified model is presented as an exemplar for course evaluation in the VET sector.

New insights into rebound effects : theory and empirical evidence

The main objective of the thesis is to seek insights into the theory, and provide empirical evidence of rebound effects. Rebound effects reduce the environmental benefits of environmental policies and household behaviour changes. In particular, win-win demand side measures, in the form of energy efficiency and household consumption pattern changes, are seen as ways for households and businesses to save money and the environment. However, these savings have environmental impacts when spent, which are known as rebound effects. This is an area that has been widely neglected by policy makers. This work extends the rebound effect literature in three important ways, (1) it incorporates the potential for variation of rebound effects with household income level, (2) it enables the isolation of direct and indirect effects for cases of energy efficient technology adoption, and examines the relationship between these two component effects, and (3) it expands the scope of rebound effect analysis to include government taxes and subsidies. MACROBUTTON HTMLDirect Using a case study approach it is found that the rebound effect from household consumption pattern changes targeted at electricity is between 5 and 10%. For consumption pattern changes with reduced vehicle fuel use, the rebound effect is in the order of 20 to 30%. Higher income households in general are found to have a lower total rebound effect; however the indirect effect becomes relatively more significant at higher household income levels. In the win-lose case of domestic photovoltaic electricity generation, it is demonstrated that negative rebound effects can occur, which can potentially amplify the environmental benefits of this action. The rebound effect from a carbon tax, which occurs due to the re-spending of raised revenues, was found to be in the range of 11-32%. Taxes and transfers between households of different income levels also have environmental implications. For example, a more progressive tax structure, with increased low income welfare payments is likely to increase greenhouse gas emissions. Subsidies aimed at encouraging environmentally friendly consumption habits are also subject to rebound effects, as they constitute a substitution of government expenditure for household expenditure. For policy makers, these findings point to the need to incorporate rebound effects in the environmental policy evaluation process.’

Analysing strategic alliances in building construction

Building construction is a highly competitive and risky business. This competitiveness is compounded where conflicting objectives amongst contracting and subcontracting firms sets the stage for an adversarial and potentially destructive approach. There is a need for change in the construction industry—not only to a more cooperative approach to build mutual trust, respect and good faith—but also from a confrontationist and adversarial attitude to a harmonious relationship. It is necessary to change the culture to create a win-win situation. “Strategic Alliances” is one such concept. A strategic alliance is a cooperative arrangement between two or more organisations that forms part of their overall strategies, and contributes to achieving their major goals and objectives. This paper begins with an overview of the Australian building construction industry, then reviews the literature and describes an analysis framework comprising six attributes of strategic alliances—trust, commitment, interdependence, cooperation, communication, and joint problem solving. Given the trend towards greater emphasis on broader contracting firm performance criteria, indicators are proposed as a component of the tender evaluation process for public works.

Evolutionary algorithms for sustainable building design

This approach to sustainable design explores the possibility of creating an architectural design process which can iteratively produce optimised and sustainable design solutions. Driven by an evolution process based on genetic algorithms, the system allows the designer to “design the building design generator” rather than to “designs the building”. The design concept is abstracted into a digital design schema, which allows transfer of the human creative vision into the rational language of a computer. The schema is then elaborated into the use of genetic algorithms to evolve innovative, performative and sustainable design solutions. The prioritisation of the project’s constraints and the subsequent design solutions synthesised during design generation are expected to resolve most of the major conflicts in the evaluation and optimisation phases. Mosques are used as the example building typology to ground the research activity. The spatial organisations of various mosque typologies are graphically represented by adjacency constraints between spaces. Each configuration is represented by a planar graph which is then translated into a non-orthogonal dual graph and fed into the genetic algorithm system with fixed constraints and expected performance criteria set to govern evolution. The resultant Hierarchical Evolutionary Algorithmic Design System is developed by linking the evaluation process with environmental assessment tools to rank the candidate designs. The proposed system generates the concept, the seed, and the schema, and has environmental performance as one of the main criteria in driving optimisation.

Support for energy-oriented design in the Australian context

There is a need for decision support tools that integrate energy simulation into early design in the context of Australian practice. Despite the proliferation of simulation programs in the last decade, there are no ready-to-use applications that cater specifically for the Australian climate and regulations. Furthermore, the majority of existing tools focus on achieving interaction with the design domain through model-based interoperability, and largely overlook the issue of process integration. This paper proposes an energy-oriented design environment that both accommodates the Australian context and provides interactive and iterative information exchanges that facilitate feedback between domains. It then presents the structure for DEEPA, an openly customisable system that couples parametric modelling and energy simulation software as a means of developing a decision support tool to allow designers to rapidly and flexibly assess the performance of early design alternatives. Finally, it discusses the benefits of developing a dynamic and concurrent performance evaluation process that parallels the characteristics and relationships of the design process.

Data flow analysis of embedded program expressions

Data flow analysis techniques can be used to help assess threats to data confidentiality and integrity in security critical program code. However, a fundamental weakness of static analysis techniques is that they overestimate the ways in which data may propagate at run time. Discounting large numbers of these false-positive data flow paths wastes an information security evaluator's time and effort. Here we show how to automatically eliminate some false-positive data flow paths by precisely modelling how classified data is blocked by certain expressions in embedded C code. We present a library of detailed data flow models of individual expression elements and an algorithm for introducing these components into conventional data flow graphs. The resulting models can be used to accurately trace byte-level or even bit-level data flow through expressions that are normally treated as atomic. This allows us to identify expressions that safely downgrade their classified inputs and thereby eliminate false-positive data flow paths from the security evaluation process. To validate the approach we have implemented and tested it in an existing data flow analysis toolkit.

An exploration of Online Shopping Cart Abandonment Syndrome – a matter of risk and reputation

ABSRACT. Despite the surge in online retail sales in recent years there still remains reluctance by consumers to complete the online shopping process. A number of authors have attributed consumers’ reluctance to purchase online to apparent barriers. However, such barriers as yet have not been fully examined within a theoretical context. This research explores the application of the perceived risk theoretical framework. Specifically, performance risk and the influence of perceived performance risk has on the phenomenon of Internet Abandoned Cart Syndrome (ACS) is evaluated. To explore this phenomenon, a number of extrinsic cues are identified as playing a major role in the performance evaluation process of online purchases. The results of this study suggest the extrinsic cues of brand, reputation, design and price have an overall impact on the performance evaluation process just prior to an online purchase. Varying these cues either positively or negatively had a strong impact on performance evaluation. Further, it was found that positive or negative reputation was heavily associated with shopping cart abandonment.

Developing a fuzzy multi-criteria decision-making model for selecting design-build operational variations

Many academic researchers have conducted studies on the selection of design-build (DB) delivery method; however, there are few studies on the selection of DB operational variations, which poses challenges to many clients. The selection of DB operational variation is a multi-criteria decision making process that requires clients to objectively evaluate the performance of each DB operational variation with reference to the selection criteria. This evaluation process is often characterized by subjectivity and uncertainty. In order to resolve this deficiency, the current investigation aimed to establish a fuzzy multicriteria decision-making (FMCDM) model for selecting the most suitable DB operational variation. A three-round Delphi questionnaire survey was conducted to identify the selection criteria and their relative importance. A fuzzy set theory approach, namely the modified horizontal approach with the bisector error method, was applied to establish the fuzzy membership functions, which enables clients to perform quantitative calculations on the performance of each DB operational variation. The FMCDM was developed using the weighted mean method to aggregate the overall performance of DB operational variations with regard to the selection criteria. The proposed FMCDM model enables clients to perform quantitative calculations in a fuzzy decision-making environment and provides a useful tool to cope with different project attributes.

The PHP intelligent tutoring system

Teaching introductory programming has challenged educators through the years. Although Intelligent Tutoring Systems that teach programming have been developed to try to reduce the problem, none have been developed to teach web programming. This paper describes the design and evaluation of the PHP Intelligent Tutoring System (PHP ITS) which addresses this problem. The evaluation process showed that students who used the PHP ITS showed a significant improvement in test scores

Brokering evaluations of partnerships in Australian community arts : responding to entrepreneurial tendencies

This article examines motivations and methods for external evaluators in taking on a brokerage relationship between artists, arts managers and governments (national and local) during an appraisal process of community arts events. The argument is situated in our experience evaluating the Creating Queensland programme, a multifaceted community arts programme presented as part of the one of Australia’s largest arts events the Brisbane Festival, in 2009 and 2010. We use this case to identify a number of principles and processes that may assist in establishing an effective evaluation process – defined, for us, as a process in which partners representing different elements of the community arts project can share information in a learning network, or an innovation network, that embraces the idea of continuous improvement. We explain that we, as consultants, are not necessarily the only participants in the evaluation process in a position to broker the decision making about what to research and report on. We argue that empowering each of the delivery partners to act as brokers, using the principles, protocols and processes to negotiate what should be researched, when, how and how it should be shared, is something each delivery partner can do. This can help create a common understanding that can reduce anxieties about using warts-and-all evaluation data to learn, grow and improve in the arts. It can, as a result, be beneficial both for the participating partners and the community arts sector as a whole.

Trialling low-cost level crossing warning devices in Australia

This paper discusses the methodology and design of the Cooperative Research Centre for Rail Innovation’s national low-cost level crossing trial programme currently being conducted in Australia. Three suppliers of innovative low-cost level crossing warning devices were chosen through a tendering and evaluation process. The paper outlines the acceptance criteria that were used to select the suppliers and describes the different types of train detection technologies and innovative cost- reduction solutions that are being tested as part of the trial. The trial is being hosted by three major railways in three different regions in Australia, where systems from the three suppliers have been installed parallel to a baseline conventional track-circuit based level crossing at each site. The paper discusses our experience to date, the trialling process and the challenges that the project has confronted in order to develop a nationally consistent trialling programme.

Teaching pharmacy students how to manage effectively in a highly competitive environment

Aims To evaluate if a revamped business management course for 4th year undergraduate pharmacy students had achieved the course aims of not only improving pharmacy students’ perceived understanding of pharmacy business management topics but also increasing their confidence in their business management knowledge and skills. Background Student feedback from previous years had indicated that the cohort had struggled to translate theoretical business management concepts learned in the classroom into practice in the workplace. To address this problem the course has been changed to a ‘flipped classroom’ format with face-to-face time focusing on case-based scenarios and interactive classroom discussion with some role plays. Method Both course assessment throughout the semester and a student survey informed the evaluation process. Results After completing the course, students felt they had increased their knowledge of business management concepts but many indicated that they lacked the confidence to undertake basic management functions. Conclusions Further course restructuring is required with a greater focus on skills development.

Measuring Competence in Supervisees and Supervisors : Satisfaction and Related Reactions in Supervision

Supervision is a highly valued component of practitioner training. This chapter discusses the following: factors influencing perceived satisfaction and alliance; and how satisfaction, alliance, and supervision relationships are currently measured; and reviews issues with the concept and its assessment. Given the importance of the supervisory relationship and of the supervisory alliance for the effectiveness of supervision and for the welfare of supervisees, the routine, repeated measurement of both these concepts, together with supervisee satisfaction, also assumes considerable utility. The chapter describes a selection of some commonly used measures: Supervisee Satisfaction Questionnaire (SSQ), Supervisory Relationship Questionnaire (SRQ), Supervisory Relationship Measure (SRM), Supervision Attitude Scale (SAS), Supervisory Working Alliance Inventory (SWAI), Supervisory Styles Inventory (SSI), Role Conflict and Ambiguity Inventory (RCAIC), and Evaluation Process within Supervision Inventory (EPSI).