Personalised information gathering and recommender systems : techniques and trends

With the explosive growth of resources available through the Internet, information mismatching and overload have become a severe concern to users. Web users are commonly overwhelmed by huge volume of information and are faced with the challenge of finding the most relevant and reliable information in a timely manner. Personalised information gathering and recommender systems represent state-of-the-art tools for efficient selection of the most relevant and reliable information resources, and the interest in such systems has increased dramatically over the last few years. However, web personalization has not yet been well-exploited; difficulties arise while selecting resources through recommender systems from a technological and social perspective. Aiming to promote high quality research in order to overcome these challenges, this paper provides a comprehensive survey on the recent work and achievements in the areas of personalised web information gathering and recommender systems. The report covers concept-based techniques exploited in personalised information gathering and recommender systems.

Heuristics and building price forecasting

The construction industry contains two types of estimators the contractors' estimator and the designers' price forecaster. Each has two models of the building in which to systemize his procedures - the production model and the design model. The use of these models is discussed in the light of the industry's particular problems of complexity and uncertainty together with the pressures of the market. It is argued that estimators and forecasters, in order to function effectively in these conditions, are forced to exercise a high degree of subjective judgment. Means of eliciting good heuristics involved in judgment making are considered by reference to the artificial intelligence and construction literature and a methodology is proposed based on these findings. The results of two early trials of the method with students are given, indicating the usefulness of the approach.

Correct procedures and cutting corners: a qualitative study of women's occupational health and safety in a beauty therapy industry

Objective: To examine the context of occupational health and safety related to blood-borne communicable diseases practice. Methods: A case study approach using qualitative semi-structured interviews with five key informants who represented different sectors of the beauty therapy industry in South Australia. Results: Four main themes were identified: (i) exposure to blood and blood-borne communicable diseases; (ii) prevention in practice; (iii) OH&S problems; and (iv) industry needs. Conclusion: Key OH&S issues in the beauty therapy industry include: power relationships between employers and employees, equipment costs, the need for more continuing education, and monitoring of practitioners. Implications: Economic constraints, continuing education, and government regulation of the beauty therapy industry are highlighted as significant areas for further consideration in addressing the OH&S needs of practitioners and their clients.

Hepatitis C in the workplace : a survey of women’s occupational health and safety in the beauty therapy industry

Objective: To examine current knowledge and practice of occupational health and safety (OH&S) regarding hepatitis C in beauty therapy practice. Methods: A questionnaire was sent to all beauty therapy practices identified through the Telstra Yellow Pages and distributed via beauty therapy product agencies. Results: 119 questionnaires were completed by employers and employees in 99 beauty therapy practices in metropolitan Adelaide. Beauty therapists reported carrying out many practices that had exposed them to blood in the past. More than 80% of the procedures carried out by beauty therapists in the previous week were reported to have led to exposure to blood. 39.5% of respondents had not received information about OH&S practices related to blood spills and 77.5% of respondents had received no OH&S information about hepatitis C. Knowledge of hepatitis C and its transmission was poor, with 62% of respondents incorrectly identifying the prevalence of hepatitis C and respondents incorrectly identifying sneezing (28%), kissing (46%) and sharing coffee cups (42%) as a modes of transmission. 80% of beauty therapy practices had no OH&S representative. Conclusion: Beauty therapy practice can expose both operator and client to blood and is therefore a potential site for the transmission of blood-borne diseases including hepatitis C. OH&S information is inadequate in this industry and knowledge of hepatitis C is poor.

Developing and delivering a software internationalisation subject

This paper describes the content and delivery of a software internationalisation subject (ITN677) that was developed for Master of Information Technology (MIT) students in the Faculty of Information Technology at Queensland University of Technology. This elective subject introduces students to the strategies, technologies, techniques and current development associated with this growing 'software development for the world' specialty area. Students learn what is involved in planning and managing a software internationalisation project as well as designing, building and using a software internationalisation application. Students also learn about how a software internationalisation project must fit into an over-all product localisation and globalisation that may include culturalisation, tailored system architectures, and reliance upon industry standards. In addition, students are exposed to the different software development techniques used by organizations in this arena and the perils and pitfalls of managing software internationalisation projects.

Directing democracy : competing interests and contested terrain in the John Lewis Partnership

The John Lewis Partnership is one of Europe’s largest models of employee ownership and has been operating a form of employee involvement and participation since its formation in 1929. It is frequently held up as a model of best practice (Cathcart, 2013) and has been described as a ‘workers’ paradise’ (Stummer and Lacey, 2001). At the beginning of 2012, the Deputy Prime Minister of the UK unveiled plans to create a ‘John Lewis Economy’ (Wintour, 2012). As John Lewis is being positioned at the heart of political and media discussions in the UK about alternatives to the corporate capitalist model of enterprise, it is vital that more is known about the experience of employee involvement and participation within the organisation. This article explores the ways in which the practice of employee involvement and participation has changed in John Lewis as a result of competing employee and managerial interests. Its contribution is a contemporary exploration of participation in the John Lewis Partnership and an examination of the ways in which management and employees contested the meaning and practice of employee involvement and participation as part of a ‘democracy project’, which culminated in significant changes and degeneration of the democratic structures.

Aircraft collision avoidance using spherical visual predictive control and single point features

This paper presents practical vision-based collision avoidance for objects approximating a single point feature. Using a spherical camera model, a visual predictive control scheme guides the aircraft around the object along a conical spiral trajectory. Visibility, state and control constraints are considered explicitly in the controller design by combining image and vehicle dynamics in the process model, and solving the nonlinear optimization problem over the resulting state space. Importantly, range is not required. Instead, the principles of conical spiral motion are used to design an objective function that simultaneously guides the aircraft along the avoidance trajectory, whilst providing an indication of the appropriate point to stop the spiral behaviour. Our approach is aimed at providing a potential solution to the See and Avoid problem for unmanned aircraft and is demonstrated through a series.

Using real-time authentic online learning scenarios to teach criminal intelligence

Criminal intelligence is an area of expertise highly sought-after internationally and within a variety of justice-related professions; however, producing university graduates with the requisite professional knowledge, as well as analytical, organisational and technical skills presents a pedagogical and technical challenge to university educators. The situation becomes even more challenging when students are undertaking their studies by distance education. This best practice session showcases the design of an online undergraduate unit for final year justice students which uses an evolving real-time criminal scenario as the focus of authentic learning activities in order to prepare students for graduate roles within the criminal intelligence and justice professions. Within the unit, students take on the role of criminal intelligence analysts, applying relevant theories, models and strategies to solve a complex but realistic crime and complete briefings and documentation to industry standards as their major summative assessment task. The session will demonstrate how the design of the online unit corresponds to authentic learning principles, and will specifically map the elements of the unit design to Herrington & Oliver’s instructional design framework for authentic learning (2000; Herrington & Herrington 2006). The session will show how a range of technologies was used to create a rich learning experience for students that could be easily maintained over multiple unit iterations without specialist technical support. The session will also discuss the unique pedagogical affordances and challenges implicated in the location of the unit within an online learning environment, and will reflect on some of the lessons learned from the development which may be relevant to other authentic online learning contexts.

Using real-time authentic online learning scenarios to teach criminal intelligence : presentation

Criminal intelligence is an area of expertise highly sought-after internationally and within a variety of justice-related professions; however, producing university graduates with the requisite professional knowledge, as well as analytical, organisational and technical skills presents a pedagogical and technical challenge to university educators. The situation becomes even more challenging when students are undertaking their studies by distance education. This best practice session showcases the design of an online undergraduate unit for final year justice students which uses an evolving real-time criminal scenario as the focus of authentic learning activities in order to prepare students for graduate roles within the criminal intelligence and justice professions. Within the unit, students take on the role of criminal intelligence analysts, applying relevant theories, models and strategies to solve a complex but realistic crime and complete briefings and documentation to industry standards as their major summative assessment task. The session will demonstrate how the design of the online unit corresponds to authentic learning principles, and will specifically map the elements of the unit design to Herrington & Oliver’s instructional design framework for authentic learning (2000; Herrington & Herrington 2006). The session will show how a range of technologies was used to create a rich learning experience for students that could be easily maintained over multiple unit iterations without specialist technical support. The session will also discuss the unique pedagogical affordances and challenges implicated in the location of the unit within an online learning environment, and will reflect on some of the lessons learned from the development which may be relevant to other authentic online learning contexts.

Reducing the Risk of Alcohol and Other Drugs in Construction : An Australian Assessment

There is increasing concern about the impact of employees’ alcohol and other drug (AOD) consumption on workplace safety, particularly within the construction industry. No known study has scientifically evaluated the relationship between the use of drugs and alcohol and safety impacts in construction, and there has been only limited adoption of nationally coordinated strategies, supported by employers and employees to render it socially unacceptable to arrive at a construction workplace with impaired judgment from AODs. This research aims to scientifically evaluate the use of AODs within the Australian construction industry in order to reduce the potential resulting safety and performance impacts and engender a cultural change in the workforce. Using the Alcohol Use Disorders Identification Test (AUDIT), the study will adopt both quantitative and qualitative methods to evaluate the extent of general AOD use in the industry. Results indicate that a proportion of the construction sector may be at risk of hazardous alcohol consumption. A total of 286 respondents (58%) scored above the cut-off score for risky alcohol use with 43 respondents (15%) scoring in the significantly ‘at risk’ category. Other drug use was also identified as a major issue that must be addressed. Results support the need for evidence-based, preventative educational initiatives that are tailored specifically to the construction industry.

Rank minimization across appearance and shape for AAM ensemble fitting

Active Appearance Models (AAMs) employ a paradigm of inverting a synthesis model of how an object can vary in terms of shape and appearance. As a result, the ability of AAMs to register an unseen object image is intrinsically linked to two factors. First, how well the synthesis model can reconstruct the object image. Second, the degrees of freedom in the model. Fewer degrees of freedom yield a higher likelihood of good fitting performance. In this paper we look at how these seemingly contrasting factors can complement one another for the problem of AAM fitting of an ensemble of images stemming from a constrained set (e.g. an ensemble of face images of the same person).

Rating defense mega-project success : the role of personal attributes and stakeholder relationships

In this paper, we develop and test a model of the relationships between mega-project leaders’ personal attributes and their ratings of project success in the context of the Australian defense industry. In our model, emotional intelligence, cognitive flexibility, and systemic thinking were hypothesized to be related to project success ratings, mediated by internal and external stakeholder relationships. We tested the model in an online survey study of 373 mega-project leaders. Results were that emotional intelligence and cognitive flexibility were found to be related to the quality of mega-project leader’s relationships with both internal and external stakeholders; and that these relationships in turn were found to be associated with the project leaders’ ratings of project success. We found however that systemic thinking had no relationship with either stakeholder relationships or ratings of project success. We conclude with a discussion of the implications of these findings and make recommendations for future research. In particular, additional research is needed to examine the contribution of a wider range of competencies on stakeholder relationships and project success in mega-projects, and that there is also a need for research in future to attempt to use more objective ratings of project success.

Rating defence major project success : the role of personal attributes and stakeholder relationships

In this paper we develop and test a model of the associations between major project managers' personal attributes and project success in the context of the Australian Defence industry. In our model, emotional intelligence, cognitive flexibility and systemic thinking were hypothesised to relate to project success, mediated by internal and external stakeholder relationships. The model was tested in an online survey with 373 major project managers. Emotional intelligence and cognitive flexibility were found to be related to the development, quality and effectiveness of major project managers' relationships with both internal and external stakeholders; and these in turn were associated with their ratings of project success. Systemic thinking, however, had no relationship with either stakeholder relationships or project success. Additional research is needed to examine the contribution of a wider range of personal attributes to stakeholder relationships and project success, and to assess whether this model is applicable in other industries and types of projects.

A Human identification technique using images of the iris and wavelet transform

A new approach for recognizing the iris of the human eye is presented. Zero-crossings of the wavelet transform at various resolution levels are calculated over concentric circles on the iris, and the resulting one-dimensional (1-D) signals are compared with model features using different dissimilarity functions.

Selective combination of visual and thermal imaging for resilient localization in adverse conditions : day and night, smoke and fire

Long-term autonomy in robotics requires perception systems that are resilient to unusual but realistic conditions that will eventually occur during extended missions. For example, unmanned ground vehicles (UGVs) need to be capable of operating safely in adverse and low-visibility conditions, such as at night or in the presence of smoke. The key to a resilient UGV perception system lies in the use of multiple sensor modalities, e.g., operating at different frequencies of the electromagnetic spectrum, to compensate for the limitations of a single sensor type. In this paper, visual and infrared imaging are combined in a Visual-SLAM algorithm to achieve localization. We propose to evaluate the quality of data provided by each sensor modality prior to data combination. This evaluation is used to discard low-quality data, i.e., data most likely to induce large localization errors. In this way, perceptual failures are anticipated and mitigated. An extensive experimental evaluation is conducted on data sets collected with a UGV in a range of environments and adverse conditions, including the presence of smoke (obstructing the visual camera), fire, extreme heat (saturating the infrared camera), low-light conditions (dusk), and at night with sudden variations of artificial light. A total of 240 trajectory estimates are obtained using five different variations of data sources and data combination strategies in the localization method. In particular, the proposed approach for selective data combination is compared to methods using a single sensor type or combining both modalities without preselection. We show that the proposed framework allows for camera-based localization resilient to a large range of low-visibility conditions.