A pilot study on affective classification of facial images for emerging news topics

The proliferation of news reports published in online websites and news information sharing among social media users necessitates effective techniques for analysing the image, text and video data related to news topics. This paper presents the first study to classify affective facial images on emerging news topics. The proposed system dynamically monitors and selects the current hot (of great interest) news topics with strong affective interestingness using textual keywords in news articles and social media discussions. Images from the selected hot topics are extracted and classified into three categorized emotions, positive, neutral and negative, based on facial expressions of subjects in the images. Performance evaluations on two facial image datasets collected from real-world resources demonstrate the applicability and effectiveness of the proposed system in affective classification of facial images in news reports. Facial expression shows high consistency with the affective textual content in news reports for positive emotion, while only low correlation has been observed for neutral and negative. The system can be directly used for applications, such as assisting editors in choosing photos with a proper affective semantic for a certain topic during news report preparation.

Close-quarters Quadrotor flying for a pole inspection with position based visual servoing and high-speed vision

This paper presents a 100 Hz monocular position based visual servoing system to control a quadrotor flying in close proximity to vertical structures approximating a narrow, locally linear shape. Assuming the object boundaries are represented by parallel vertical lines in the image, detection and tracking is achieved using Plücker line representation and a line tracker. The visual information is fused with IMU data in an EKF framework to provide fast and accurate state estimation. A nested control design provides position and velocity control with respect to the object. Our approach is aimed at high performance on-board control for applications allowing only small error margins and without a motion capture system, as required for real world infrastructure inspection. Simulated and ground-truthed experimental results are presented.

Setting the research agenda in IHRM

Firstly, on behalf of the secretariat that has coordinated these meetings every two years since 1985, our thanks to the organising committee here at the University of Economics in Cracow, Poland, for hosting this conference. I was asked to offer comment on the research agenda. There are many famous names to refer to. Two Australian colleagues here today are Peter Dowling and Helen De Cieri, longtime stalwarts of the field of IHRM. I acknowledge their contributions over many years, along with Randy Schuler and Denise Welch, and Dennis Briscoe. Other names such as Rosalie Tung, Pawan Bhudwhar, Michael Morley, Paul Sparrow and Wayne Cascio are known to us all. Their books have become classics. One example is the 700 page benchmark 2012 work by Chris Brewster and Wolfgang Mayrhofer, Handbook of Research on Comparative Human Resource Management (Brewster & Mayrhofer, 2012). More recently, in a book published by Cambridge University press in 2014, Mustafa Özbilgin, Dimitria Groutsis and William Harvey offer students a very accessible overview of the basics in IHRM (Ozbilgin, Groutsis, & Harvey, 2014). As for a research agenda, there are excellent literature reviews to which I would refer you, such as those by people who over the years have been frequent participants at this conference (Tarique & Schuler, 2010), (Farndale, Scullion, & Sparrow, 2010), and (Scullion & Collings, 2011).

Course quality assurance at a glance

From 2014, QUT will be adopting a life-cycle approach to Course Quality Assurance informed by a wider and richer range of historic, ‘live’ and ‘predictive’ course data. Key data elements continue to be grouped according to the three broad categories – Viability, Quality of Learning Environment and Outcomes – and are further supported with analytic data presented within tables and charts. Course Quality Assurance and this Consolidated Courses Performance Report illuminate aspects of courses from a data evidence base highlighting the strengths and weaknesses of our courses. It provides the framework and tools to achieve QUT's commitment to excellent graduate outcomes by drawing attention and focus to the quality of our courses and providing a structured approach for bringing about change. Our portfolio of courses forms a vital part of QUT, generating almost $600 million in 2013 alone. Real world courses are fundamental to the strength of the Institution; they are what our many thousands of current and future students are drawn to and invest their time and aspirations in. As we move through a period of some regulatory and deregulatory uncertainty, there is a greater need for QUT to monitor and respond to the needs and expectations of our students. The life-cycle approach, with its rich and predicative data, provides the best source of evidence we have had, to date, to assure the quality of our courses and their relevance in a rapidly changing higher education context.

A hierarchical model of goal directed navigation selects trajectories in a visual environment

We have developed a Hierarchical Look-Ahead Trajectory Model (HiLAM) that incorporates the firing pattern of medial entorhinal grid cells in a planning circuit that includes interactions with hippocampus and prefrontal cortex. We show the model’s flexibility in representing large real world environments using odometry information obtained from challenging video sequences. We acquire the visual data from a camera mounted on a small tele-operated vehicle. The camera has a panoramic field of view with its focal point approximately 5 cm above the ground level, similar to what would be expected from a rat’s point of view. Using established algorithms for calculating perceptual speed from the apparent rate of visual change over time, we generate raw dead reckoning information which loses spatial fidelity over time due to error accumulation. We rectify the loss of fidelity by exploiting the loop-closure detection ability of a biologically inspired, robot navigation model termed RatSLAM. The rectified motion information serves as a velocity input to the HiLAM to encode the environment in the form of grid cell and place cell maps. Finally, we show goal directed path planning results of HiLAM in two different environments, an indoor square maze used in rodent experiments and an outdoor arena more than two orders of magnitude larger than the indoor maze. Together these results bridge for the first time the gap between higher fidelity bio-inspired navigation models (HiLAM) and more abstracted but highly functional bio-inspired robotic mapping systems (RatSLAM), and move from simulated environments into real-world studies in rodent-sized arenas and beyond.

A review of modern computational algorithms for Bayesian optimal design

Bayesian experimental design is a fast growing area of research with many real-world applications. As computational power has increased over the years, so has the development of simulation-based design methods, which involve a number of algorithms, such as Markov chain Monte Carlo, sequential Monte Carlo and approximate Bayes methods, facilitating more complex design problems to be solved. The Bayesian framework provides a unified approach for incorporating prior information and/or uncertainties regarding the statistical model with a utility function which describes the experimental aims. In this paper, we provide a general overview on the concepts involved in Bayesian experimental design, and focus on describing some of the more commonly used Bayesian utility functions and methods for their estimation, as well as a number of algorithms that are used to search over the design space to find the Bayesian optimal design. We also discuss other computational strategies for further research in Bayesian optimal design.

An adaptive spherical view representation for navigation in changing environments

Real-world environments such as houses and offices change over time, meaning that a mobile robot’s map will become out of date. In previous work we introduced a method to update the reference views in a topological map so that a mobile robot could continue to localize itself in a changing environment using omni-directional vision. In this work we extend this longterm updating mechanism to incorporate a spherical metric representation of the observed visual features for each node in the topological map. Using multi-view geometry we are then able to estimate the heading of the robot, in order to enable navigation between the nodes of the map, and to simultaneously adapt the spherical view representation in response to environmental changes. The results demonstrate the persistent performance of the proposed system in a long-term experiment.

Long-term experiments with an adaptive spherical view representation for navigation in changing environments

Real-world environments such as houses and offices change over time, meaning that a mobile robot’s map will become out of date. In this work, we introduce a method to update the reference views in a hybrid metrictopological map so that a mobile robot can continue to localize itself in a changing environment. The updating mechanism, based on the multi-store model of human memory, incorporates a spherical metric representation of the observed visual features for each node in the map, which enables the robot to estimate its heading and navigate using multi-view geometry, as well as representing the local 3D geometry of the environment. A series of experiments demonstrate the persistence performance of the proposed system in real changing environments, including analysis of the long-term stability.

Marketing

Marketing 1e is designed for today's changing student population with an emphasis on experiential learning and the value that marketers create. The key themes of digital, services, ethics, and value that are at the forefront of contemporary teaching and practice are integrated throughout and illustrated with real world examples that will spark the imagination. Marketing 1e thoroughly addresses the explosion of digital technology and new influencers, such as social media, and the impact on marketing. Supported by results-driven technology in McGraw-Hill's Connect and a focused table of contents covering all of thefoundational topics in thirteen chapters, Marketing 1e is the ideal choice for any Principles of Marketing course.With Connect package, students examine how firms analyse, create, deliver, communicate, and capture value by exploring both the fundamentals in marketing and new influencers, such as social media, all in a format that allows for instructor assessment of learning outcomes, and provides students with a tight integration of topics.

A review selection method using product feature taxonomy

As of today, online reviews have become more and more important in decision making process. In recent years, the problem of identifying useful reviews for users has attracted significant attentions. For instance, in order to select reviews that focus on a particular feature, researchers proposed a method which extracts all associated words of this feature as the relevant information to evaluate and find appropriate reviews. However, the extraction of associated words is not that accurate due to the noise in free review text, and this affects the overall performance negatively. In this paper, we propose a method to select reviews according to a given feature by using a review model generated based upon a domain ontology called product feature taxonomy. The proposed review model provides relevant information about the hierarchical relationships of the features in the review which captures the review characteristics accurately. Our experiment results based on real world review dataset show that our approach is able to improve the review selection performance according to the given criteria effectively.

The New Lawyer

This text is designed to implement the Threshold Learning Outcomes (TLOs) for law in the first year, and to incorporate Sally Kift’s First Year Curriculum principles: http://tls.vu.edu.au/portal/site/trans/Resources/KiftTransitonPedagogySixPrinciples_16Nov09.pdf This is a learning-centered text book intentionally designed for first year students and written by experts in legal education and the first year experience. It is written in a tone and style that engages and communicates effectively with first year law students, without compromising its rigour. It provides students with opportunities to contextualise and make sense of their learning by connecting that learning with what they already know, and with current contemporary issues and affairs. This work is designed to ease students through the transition from a diverse variety of backgrounds (such as high school, work or other disciplines) to the first year of law. It provides practical guidance about adjusting to law school and to university. Students are asked to regularly reflect upon why they are studying law. The book also prepares law students for success in their latter year studies in law by ensuring that they are equipped with the necessary threshold concepts and foundational skills to do well: for example, research skills (particularly, online research skills), reasoning skills, written communication skills, negotiation skills, and self-management skills. A range of practical tips on studying law are provided throughout the book. The work also asks students to engage with developing an emergent sense of professional identity – including what it means to ‘think like a lawyer’. In supporting the students to engage with the concept of professional identity, the work begins a process of preparing students for transition from law school to legal practice. This is achieved by providing explanations of how the material being presented relates to the practice of law, as well as practical information relating to employability skills as a new graduate. This work has a number of learning and teaching objectives to enhance the quality of student learning in their first year of law by engaging, motivating and supporting that learning. First, the work is designed to engage first year students with their legal education and with a future sense of professional identity. It does this through its: • Dynamic writing style • Engaging format • Inclusion of contemporary issues and events • Flowcharts, checklists, mind-maps, tables and timelines • Inclusion of real-world problems and dilemmas. Second, the text motivates student learning by promoting active learning. It does this by: • Demonstrating, and asking students to practice, what they need to do – that is, the work is not simply focussed on telling students what they need to know • Including regular self-directed learning exercises throughout each chapter, such as practical exercises for the development of important foundational legal skills • Including exercises that promote student collaboration, and that require students to apply their learning to practical situations, and • Incorporating a range of interesting active thinking points and research activities. Third, the book supports student learning by encouraging reflective learning and independent learning. It does this by including: • Specific content on how to be a reflective practitioner and an independent learner • Exercises that require students to engage in independent learning, particularly in relation to legal research skill development • Exercises requiring students to reflect upon what they have learned, and encouraging students to keep a reflective learning journal • Exercises requiring students to reflect upon their own views and beliefs • Reflection on whether students have achieved the learning objectives articulated at the beginning of the chapter. The work also: • Demonstrates respect for student experiences, views, opinions and values • Acknowledges student diversity • Recognises the importance of being globally minded law students and lawyers • Supports law teachers in using the work in their classrooms through the provision of comprehensive teaching materials.

Abandoning the Magic Circle

As a concept, the magic circle is in reality just 4 years old. Whilst often accredited to Johan Huizinga (1955), the modern usage of term in truth belongs to Katie Salen and Eric Zimmerman. It became in academia following the publication of “Rules of Play” in 2003. Because of the terminologyused, it carries with it unhelpful preconceptions that the game world, or play-space, excludes reality. In this paper, I argue that Salen and Zimmerman (2003) have taken a term used as an example, and applied a meaning to it that was never intended, based primarily upon definitions given by other authors, namely Apter (1991) and Sniderman (n.d.). I further argue that the definition itself contains a logical fallacy, which has prevented the full understanding of the definition in later work. Through a study of the literature in Game Theory, and examples of possible issues which could arise in contemporary games, I suggest that the emotions of the play experience continue beyond the play space, and that emotions from the “real world” enter it with the participants. I consider a reprise of the Stanley Milgram Obedience Experiment (2006), and what that tells us about human emotions and the effect that events taking place in a virtual environment can have upon them. I evaluate the opinion espoused by some authors of there being different magic circles for different players, and assert that this is not a useful approach to take when studying games, because it prevents the analysis of a game as a single entity. Furthermore I consider the reasons given by other authors for the existence of the Magic Circle, and I assert that the term “Magic Circle” should be discarded, that it has no relevance to contemporary games, and indeed it acts as a hindrance to the design and study of games. I conclude that the play space which it claims to protect from the courts and other governmental authorities would be better served by the existing concepts of intent, consent, and commonly accepted principles associated with international travel.

STAC living. Promoting efficient multi-residential buildings in subtropical climates.

STAC is a mobile application (app) designed to promote the benefits of climate-aware urban development in Subtropical environments. Although, STAC is primarily tool for understanding climate efficient buildings in Brisbane, Australia, it also demonstrates how other exemplary buildings operate in other subtropical cities of the world. The STAC research and development team applied research undertaken by the Centre for Subtropical Design (Brisbane) to profile buildings past and present that have contributed to the creation of a vibrant society, a viable economy, a healthy environment, and an authentic sense of place. In collaboration with researchers from the field of Interaction Design, this knowledge and data was collated, processed and curated for presentation via a custom mobile application designed to distribute this important research for review and consideration on-location in local settings and for comparison across all other global subtropical regions and projects identified by this research. This collaboration adopted a Design-based Research (DBR) Methodology guided by the main tenets of research and design iteration and cross-discipline collaboration in real-world settings, resulting in the formulation of contextually-sensitive design principles, theories, and tools for design intervention. Combined with significant context review of available technology and data and subsequent case study analysis of exemplar design applications.

Mission path planning of aerial survey tasks using hybrid game evolutionary algorithm

The work presented in this report is aimed to implement a cost-effective offline mission path planner for aerial inspection tasks of large linear infrastructures. Like most real-world optimisation problems, mission path planning involves a number of objectives which ideally should be minimised simultaneously. Understandably, the objectives of a practical optimisation problem are conflicting each other and the minimisation of one of them necessarily implies the impossibility to minimise the other ones. This leads to the need to find a set of optimal solutions for the problem; once such a set of available options is produced, the mission planning problem is reduced to a decision making problem for the mission specialists, who will choose the solution which best fit the requirements of the mission. The goal of this work is then to develop a Multi-Objective optimisation tool able to provide the mission specialists a set of optimal solutions for the inspection task amongst which the final trajectory will be chosen, given the environment data, the mission requirements and the definition of the objectives to minimise. All the possible optimal solutions of a Multi-Objective optimisation problem are said to form the Pareto-optimal front of the problem. For any of the Pareto-optimal solutions, it is impossible to improve one objective without worsening at least another one. Amongst a set of Pareto-optimal solutions, no solution is absolutely better than another and the final choice must be a trade-off of the objectives of the problem. Multi-Objective Evolutionary Algorithms (MOEAs) are recognised to be a convenient method for exploring the Pareto-optimal front of Multi-Objective optimization problems. Their efficiency is due to their parallelism architecture which allows to find several optimal solutions at each time

Tangible E-Learning

Tangible User Interfaces increasingly gain attention for their supportive potential in cognitive processes. More and more often the terms e-Learning and tangible interaction are been referred to in one word as Tangible e-Learning. This paper gives a general overview on the topic in reference to development history, research and effectiveness. It explains how epistemology, together with its idea that physicality enhances learning and that the cognitive process can happen in expressive or exploratory manner, motivates the emerging of TUIs and acts as a basis for the classification of Tangible e-Learning Systems. The benefits of TUIs in comparison to classical GUIs in terms of their contribution to the learning process, engagement, enjoyment and collaboration are empirically proven, although poorly. Nevertheless, it is not known whether TUIs have stronger potential than common Physical User Interfaces that are not electronically augmented. Still, TUIs that support learning have a strong potential to be integrated into real world scenarios.