Complex Symbolic Sequence Encodings for Predictive Monitoring of Business Processes

This paper addresses the problem of predicting the outcome of an ongoing case of a business process based on event logs. In this setting, the outcome of a case may refer for example to the achievement of a performance objective or the fulfillment of a compliance rule upon completion of the case. Given a log consisting of traces of completed cases, given a trace of an ongoing case, and given two or more possible out- comes (e.g., a positive and a negative outcome), the paper addresses the problem of determining the most likely outcome for the case in question. Previous approaches to this problem are largely based on simple symbolic sequence classification, meaning that they extract features from traces seen as sequences of event labels, and use these features to construct a classifier for runtime prediction. In doing so, these approaches ignore the data payload associated to each event. This paper approaches the problem from a different angle by treating traces as complex symbolic sequences, that is, sequences of events each carrying a data payload. In this context, the paper outlines different feature encodings of complex symbolic sequences and compares their predictive accuracy on real-life business process event logs.

Improving Near-Miss Event Detection Rate at Railway Level Crossings

Even though crashes between trains and road users are rare events at railway level crossings, they are one of the major safety concerns for the Australian railway industry. Nearmiss events at level crossings occur more frequently, and can provide more information about factors leading to level crossing incidents. In this paper we introduce a video analytic approach for automatically detecting and localizing vehicles from cameras mounted on trains for detecting near-miss events. To detect and localize vehicles at level crossings we extract patches from an image and classify each patch for detecting vehicles. We developed a region proposals algorithm for generating patches, and we use a Convolutional Neural Network (CNN) for classifying each patch. To localize vehicles in images we combine the patches that are classified as vehicles according to their CNN scores and positions. We compared our system with the Deformable Part Models (DPM) and Regions with CNN features (R-CNN) object detectors. Experimental results on a railway dataset show that the recall rate of our proposed system is 29% higher than what can be achieved with DPM or R-CNN detectors.

Permissions in Deontic Event-Calculus

Permissions are special case of deontic effects and play important role compliance. Essentially they are used to determine the obligations or prohibitions to contrary. A formal language e.g., temporal logic, event-calculus et., not able to represent permissions is doomed to be unable to represent most of the real-life legal norms. In this paper we address this issue and extend deontic-event-calculus (DEC) with new predicates for modelling permissions enabling it to elegantly capture the intuition of real-life cases of permissions.

#auspol: The hashtag as community, event, and material object for engaging with Australian politics

Critical, loud, highly discursive and polarised; the #auspol hashtag represents a space, an event and a network for politically involved individuals to engage in and with Australian politics and speak to, at and about a variety of involved stakeholders. Contributors declare, debate and often berate each other’s opinions about current Australian politics. The hashtag itself is an important material object and engagement event involved within this performance of political participation. As a long-standing institution in the Twittersphere, and one studied by the authors and their colleagues since its early beginnings (Bruns and Burgess, 2011; Bruns and Stieglitz, 2012; 2013), the #auspol hashtag provides a potent case study through which to explore the discursive and affective dimensions of a hashtag public. This chapter that engages both empirically and theoretically with the use of this particular hashtag on Twitter to provide a qualitatively illustrated case in point for thinking about the long-term use of political hashtags as engagement events.

The ninth 48hr game making challenge (2015)

The 48 hour game making challenge has been running since 2007. In recent years, we have not only been running a 'game jam' for the local community but we have also been exploring the way in which the event itself and the place of the event has the potential to create its own stories. The 2015 challenge is part of a series of data collection opportunities focussed on the game jam itself and the meaning making that the participants engage in about the event. We are continuing the data collection commenced in 2012: "Game jams are the creative festivals of the game development community and a game jam is very much an event or performance; its stories are those of subjective experience. Participants return year after year and recount personal stories from previous challenges; arrival in the 48hr location typically inspires instances of individual memory and narration more in keeping with those of a music festival or an oft frequented holiday destination. Since its inception, the 48hr has been heavily documented, from the photo-blogging of our first jam and the twitter streams of more recent events to more formal interviews and documentaries (see Anderson, 2012). We have even had our own moments of Gonzo journalism with an on-site press room one year and an ‘embedded’ journalist another year (Keogh, 2011). In the last two years of the 48hr we have started to explore ways and means to collect more abstract data during the event, that is, empirical data about movement and activity. The intent behind this form of data collection was to explore graphic and computer generated visualisations of the event, not for the purpose of formal analysis but in the service of further story telling." [exerpt from truna aka j.turner, Thomas & Owen, 2013) See: truna aka j.turner, Thomas & Owen (2013) Living the indie life: mapping creative teams in a 48 hour game jam and playing with data, Proceedings of the 9th Australasian Conference on Interactive Entertainment, IE'2013, September 30 - October 01 2013, Melbourne, VIC, Australia

Learning Temporal Alignment Uncertainty for Efficient Event Detection

In this paper we tackle the problem of efficient video event detection. We argue that linear detection functions should be preferred in this regard due to their scalability and efficiency during estimation and evaluation. A popular approach in this regard is to represent a sequence using a bag of words (BOW) representation due to its: (i) fixed dimensionality irrespective of the sequence length, and (ii) its ability to compactly model the statistics in the sequence. A drawback to the BOW representation, however, is the intrinsic destruction of the temporal ordering information. In this paper we propose a new representation that leverages the uncertainty in relative temporal alignments between pairs of sequences while not destroying temporal ordering. Our representation, like BOW, is of a fixed dimensionality making it easily integrated with a linear detection function. Extensive experiments on CK+, 6DMG, and UvA-NEMO databases show significant performance improvements across both isolated and continuous event detection tasks.

The use of animation to promote student learning about the importance of mental well-being for tertiary study success

It is now widely acknowledged that student mental well-being is a critical factor in the tertiary student learning experience and is important to student learning success. The issue of student mental well-being also has implications for effective student transition out of university and into the world of work. It is therefore vital that intentional strategies are adopted by universities both within the formal curriculum, and outside it, to promote student well-being and to work proactively and preventatively to avoid a decline in student psychological well-being. This paper describes how the Queensland University of Technology Law School is using animation to teach students about the importance for their learning success of the protection of their mental well-being. Mayer and Moreno (2002) define an animation as an external representation with three main characteristics: (1) it is a pictorial representation, (2) it depicts apparent movement, and (3) it consists of objects that are artificially created through drawing or some other modelling technique. Research into the effectiveness of animation as a tool for tertiary student learning engagement is relatively new and growing field of enquiry. Nash argues, for example, that animations provide a “rich, immersive environment [that] encourages action and interactivity, which overcome an often dehumanizing learning management system approach” (Nash, 2009, 25). Nicholas states that contemporary millennial students in universities today, have been immersed in animated multimedia since their birth and in fact need multimedia to learn and communicate effectively (2008). However, it has also been established, for example through the work of Lowe (2003, 2004, 2008) that animations can place additional perceptual, attentional, and cognitive demands on students that they are not always equipped to cope with. There are many different genres of animation. The dominant style of animation used in the university learning environment is expository animation. This approach is a useful tool for visualising dynamic processes and is used to support student understanding of subjects and themes that might otherwise be perceived as theoretically difficult and disengaging. It is also a form of animation that can be constructed to avoid any potential negative impact on cognitive load that the animated genre might have. However, the nature of expository animation has limitations for engaging students, and can present as clinical and static. For this reason, the project applied Kombartzky, Ploetzner, Schlag, and Metz’s (2010) cognitive strategy for effective student learning from expository animation, and developed a hybrid form of animation that takes advantage of the best elements of expository animation techniques along with more engaging short narrative techniques. First, the paper examines the existing literature on the use of animation in tertiary educational contexts. Second, the paper describes how animation was used at QUT Law School to teach students about the issue of mental well-being and its importance to their learning success. Finally, the paper analyses the potential of the use of animation, and of the cognitive strategy and animation approach trialled in the project, as a teaching tool for the promotion of student learning about the importance of mental well-being.

Survival analysis of time-to-event data in respiratory health research studies

This article provides a review of techniques for the analysis of survival data arising from respiratory health studies. Popular techniques such as the Kaplan–Meier survival plot and the Cox proportional hazards model are presented and illustrated using data from a lung cancer study. Advanced issues are also discussed, including parametric proportional hazards models, accelerated failure time models, time-varying explanatory variables, simultaneous analysis of multiple types of outcome events and the restricted mean survival time, a novel measure of the effect of treatment.

Apprehending the void: Using animation to interpret the genius loci of the Peel Island Lazaret

This practice-led research project harnesses the plasmatic nature of animation (Eisenstein 1989) to embody the in-between state of being of the Peel Island Lazaret on the island of Teerk Roo Ra in Moreton Bay, Queensland. In this project the genius loci of this place is expressed through the development of a series of creative works that employs the unique transformative quality of animation to push and pull at the boundary lines between what can be apprehended as the ‘real’ and the ‘imaginary’. Drawing on the physical approach of Czech surrealist animator Jan Švankmajer and cultural theories from Australian writer Ross Gibson, this study re-members and re-imagines the site of the Lazaret as a liminal, uncanny place. This study investigates how conceptions of place are overlaid by aspects of history, memory and the imagination and these discoveries contribute to the currently limited academic discourse around place and place-making in animation practice in Australia.

Nocturne

Chris Denaro is a Brisbane-based animator whose work incorporates a blend of physical stop motion and digital motion graphics. This exhibition, Nocturne, uses animation to embody the genius loci of the former Peel Island Lazaret on the island of Teerk Roo Ra in Moreton Bay, Queensland. This project developed a form of animation that harnesses animation’s plasmatic quality to express an in-between state of being, and examines the capacity of animation to push and pull at the boundary lines between what can be apprehended as the ‘real’ and the ‘imaginary’. The Nocturne constructions cycle forever, with no beginning and no end,only a slightly familiar hypnotic rhythm to describe a continual process of adaptation and renewal. These artworks consider the animation loop as a mental state, rather than a sequence of events which illustrate a narrative. The loop can also be an anxious, compulsive place, divorced from the linear nature of reality, hypnotised in a trance like repetition. Nocturne investigates how conceptions of place are overlaid by aspects of history, memory and the imagination.

Uncanny Nature

In Uncanny nature, Merri Randell and Chris Denaro use animation and surreal photography to make us rethink what we understand about nature.

Promoting law student well-being – A developing program and the use of animation

It is widely acknowledged that student mental well-being is a critical factor in the tertiary student learning experience and is important to student learning success. The issue of student mental well-being also has implications for effective student transition out of university and into the world of work. It is therefore vital that intentional strategies are adopted by universities both within the formal curriculum, and outside it, to promote student well-being. This paper describes the ongoing development of the ‘I Belong in the LLB’ program at the Queensland University of Technology Law School, and the use of animation to engage students with the importance of mental health.

Animated Mise-en-scene and aesthetic harmony: An expansion of the traditional principles of animation to 3D computer animation

3D Computer Graphics (CG) has become the dominant medium for modern animated feature films. It is widely understood that traditional principles of animation developed in the 1930s at the Walt Disney Studio remain applicable to this new medium and heavily influence the range of aesthetic motion styles in contemporary animation. Via a frame-by-frame textual analysis of four animated feature films, this thesis tests and confirms the validity of the principles of animation and expands upon them by reinterpreting the Disney principle of appeal as aesthetic harmony, which delineates the way in which character posing and transitions between poses contribute to the animated motion styles that animators work in today.

Using a glow graph to represent data flow and dependency in event logs

The idea of extracting knowledge in process mining is a descendant of data mining. Both mining disciplines emphasise data flow and relations among elements in the data. Unfortunately, challenges have been encountered when working with the data flow and relations. One of the challenges is that the representation of the data flow between a pair of elements or tasks is insufficiently simplified and formulated, as it considers only a one-to-one data flow relation. In this paper, we discuss how the effectiveness of knowledge representation can be extended in both disciplines. To this end, we introduce a new representation of the data flow and dependency formulation using a flow graph. The flow graph solves the issue of the insufficiency of presenting other relation types, such as many-to-one and one-to-many relations. As an experiment, a new evaluation framework is applied to the Teleclaim process in order to show how this method can provide us with more precise results when compared with other representations.

Fluid States: Performances of Unknowing - The LOG

The LOG is the online edited proceedings of PSi#21 Fluid States: Performances of Unknowing, a festival-style series of conferences, symposia and performances across Asia, Africa, Europe, the Pacific and the Americas throughout 2015, incorporating texts, images, videos and other correspondence and commentary from literally hundreds of the world's top drama, theatre, performance and cultural studies scholars.