The structured phase of concurrency

This extended abstract summarizes the state-of-the-art solution to the structuring problem for models that describe existing real world or envisioned processes. Special attention is devoted to models that allow for the true concurrency semantics. Given a model of a process, the structuring problem deals with answering the question of whether there exists another model that describes the process and is solely composed of structured patterns, such as sequence, selection, option for simultaneous execution, and iteration. Methods and techniques for structuring developed by academia as well as products and standards proposed by industry are discussed. Expectations and recommendations on the future advancements of the structuring problem are suggested.

Towards proximity-based passenger sensing on public transport buses

While substantial research on intelligent transportation systems has focused on the development of novel wireless communication technologies and protocols, relatively little work has sought to fully exploit proximity-based wireless technologies that passengers actually carry with them today. This paper presents the real-world deployment of a system that exploits public transit bus passengers’ Bluetooth-capable devices to capture and reconstruct micro- and macro-passenger behavior. We present supporting evidence that approximately 12% of passengers already carry Bluetooth-enabled devices and that the data collected on these passengers captures with almost 80 % accuracy the daily fluctuation of actual passengers flows. The paper makes three contributions in terms of understanding passenger behavior: We verify that the length of passenger trips is exponentially bounded, the frequency of passenger trips follows a power law distribution, and the microstructure of the network of passenger movements is polycentric.

WebAIRS - A case study : how the multidisciplinarity of IS can save lives

This paper presents a case study chronicling the development of WebAIRS, an Australasian national anaesthetic incident reporting database for health care practitioners. WebAIRS is an example of the multidisciplinary nature of the IS discipline, incorporating IS theories, tools and principles in the creation of an IT artefact with significant real world application. This case study introduces the background of the project and the motivations for its conception including the need for critical incident reporting in anaesthesia, the process of its development using IT students and the problems identified following its national release among the anaesthetic community. The paper demonstrates the evolution of contemporary IS research and the IT artefact, and how each can be crucial foundations for hospitals of the future

Sensors for missions

An onboard payload may be seen in most instances as the “Raison d’Etre” for a UAV. It will define its capabilities, usability and hence market value. Large and medium UAV payloads exhibit significant differences in size and computing capability when compared with small UAVs. The latter have stringent size, weight, and power requirements, typically referred as SWaP, while the former still exhibit endless appetite for compute capability. The tendency for this type of UAVs (Global Hawk, Hunter, Fire Scout, etc.) is to increase payload density and hence processing capability. An example of this approach is the Northrop Grumman MQ-8 Fire Scout helicopter, which has a modular payload architecture that incorporates off-the-shelf components. Regardless of the UAV size and capabilities, advances in miniaturization of electronics are enabling the replacement of multiprocessing, power-hungry general-purpose processors for more integrated and compact electronics (e.g., FPGAs). Payloads play a significant role in the quality of ISR (intelligent, surveillance, and reconnaissance) data, and also in how quick that information can be delivered to the end user. At a high level, payloads are important enablers of greater mission autonomy, which is the ultimate aim in every UAV. This section describes common payload sensors and introduces two examples cases in which onboard payloads were used to solve real-world problems. A collision avoidance payload based on electro optical (EO) sensors is first introduced, followed by a remote sensing application for power line inspection and vegetation management.

Primary classroom teachers' use of social and emotional wellbeing programs and the factors influencing program use

There has been a rapid escalation in the development and evaluation of social and emotional well-being (SEW) programs in primary schools over the last few decades. Despite the plethora of programs available, primary teachers’ use of SEW programs is not well documented in Australian schools, with even less consideration of the factors influencing program use. A cross-sectional survey was undertaken with primary classroom teachers across twelve schools in the Brisbane and Sunshine Coast Education Districts in Queensland, Australia, during 2005. A checklist of SEW programs and an audit of SEW practices in schools were employed to investigate the number, range and types of SEW programs used by primary classroom teachers and the contextual factors influencing program use. Whilst the majority of implementation studies have been conducted under intervention conditions, this study was designed to capture primary classroom teachers’ day-to-day use of SEW programs and the factors influencing program use under real-world conditions. The findings of this research indicate that almost three quarters of the primary classroom teachers involved in the study reported using at least one SEW program during 2005. Wide variation in the number and range of programs used was evident, suggesting that teachers are autonomous in their use of SEW programs. Evidence-based SEW programs were used by a similar proportion of teachers to non-evidence-based programs. However, irrespective of the type of program used, primary teachers overwhelmingly reported using part of a SEW program rather than the whole program. This raises some issues about the quality of teachers’ program implementation in real-world practice, especially with respect to programs that are evidence-based. A content analysis revealed that a wide range of factors have been examined as potential influences on teachers’ implementation of health promotion programs in schools, including SEW programs, despite the limited number of studies undertaken to date. However, variation in the factors examined and study designs employed both within and across health promotion fields limited the extent to which studies could be compared. A methodological and statistical review also revealed substantial variation in the quality of reporting of studies. A variety of factors were examined as potential influences on primary classroom teachers’ use of SEW programs across multiple social-ecological levels of influence (ranging from community to school and individual levels). In this study, parent or caregiver involvement in class activities and the availability of wellbeing-related policies in primary schools were found to be influential in primary classroom teachers’ use of SEW programs. Teachers who often or always involve parents or caregivers in class activities were at a higher odds of program use relative to teachers who never or rarely involved parents or caregivers in class activities. However, teachers employed in schools with the highest number of wellbeing-related policies available were at a lower odds of program use relative to teachers employed in schools with fewer wellbeing-related policies available. Future research should investigate primary classroom teachers’ autonomy and motivations for using SEW programs and the reasons behind the selection and use of particular types of programs. A larger emphasis should also be placed upon teachers not using SEW programs to identify valid reasons for non-use. This would provide another step towards bridging the gap between the expectations of program developers and the needs of teachers who implement programs in practice. Additionally, the availability of wellbeing-related school policies and the types of activities that parents and caregivers are involved with in the classroom warrant more in-depth investigation. This will help to ascertain how and why these factors influence primary classroom teachers’ use of SEW programs on a day-to-day basis in schools.

Teaching design thinking : Expanding horizons in design education

The term design thinking is increasingly used to mean the human-centred 'open' problem solving process decision makers use to solve real world 'wicked' problems. Claims have been made that design thinking in this sense can radically improve not only product innovation but also decision making in other fields, such as management, public health, and organizations in general. Many design and management schools in North America and elsewhere now include course offerings in design thinking though little is known about how successful these are with students. The lack of such courses in Australia presents an opportunity to design a curriculum for design thinking, employing design thinking's own practices. This paper describes the development of a design thinking course at Swinburne University taught simultaneously in Melbourne and Hong Kong. Following a pilot of the course in Semester 1, 2011 with 90 enrolled students across the two countries, we describe lessons learned to date and future course considerations as it is being taught in its second iteration.

Empathy : narrative empathy and children's literature

The term empathy has only existed in English for a little over a hundred years, but the idea of feeling with another person is an old one. Because of its perceived connection to moral behaviour, empathy and its development are of great interest to educators, policy makers, psychologists, and philosophers. Reading children’s literature is often considered important for developing (among other things) children’s ethical and empathic understandings of society and its people. However, claims as to the impact of reading on readers’ ability to become more empathic, tolerant, and better people are divided. While many readers may attribute positive influences that authors and texts have had on shaping their attitudes and actions, there is no guarantee that a desirable affective and cognitive response will follow the reading experience. The complexity of readers and texts refuses to be reduced to simple universal statements about the capacity of narrative empathy to create a particular kind of empathic reader or person: fiction that engages a reader with the emotional plight of a character does not necessarily translate into actions in the real world towards people who are similarly suffering, marginalized, or victimized. This chapter asks: Does children’s literature foster empathy? There are two implicit features of this question: one concerns narrative empathy; the other concerns empathic reader response. The discussion will focus on how a selection of ‘multicultural’ picture books attempts to create narrative empathy by focussing on cultural and spatial differences.

Effects of air pollution exposure on adult bicycle commuters : an investigation of respiratory health, motorised traffic proximity and the utility of commute re-routing

Bicycle commuting has the potential to be an effective contributing solution to address some of modern society’s biggest issues, including cardiovascular disease, anthropogenic climate change and urban traffic congestion. However, individuals shifting from a passive to an active commute mode may be increasing their potential for air pollution exposure and the associated health risk. This project, consisting of three studies, was designed to investigate the health effects of bicycle commuters in relation to air pollution exposure, in a major city in Australia (Brisbane). The aims of the three studies were to: 1) examine the relationship of in-commute air pollution exposure perception, symptoms and risk management; 2) assess the efficacy of commute re-routing as a risk management strategy by determining the exposure potential profile of ultrafine particles along commute route alternatives of low and high proximity to motorised traffic; and, 3) evaluate the feasibility of implementing commute re-routing as a risk management strategy by monitoring ultrafine particle exposure and consequential physiological response from using commute route alternatives based on real-world circumstances; 3) investigate the potential of reducing exposure to ultrafine particles (UFP; < 0.1 µm) during bicycle commuting by lowering proximity to motorised traffic with real-time air pollution and acute inflammatory measurements in healthy individuals using their typical, and an alternative to their typical, bicycle commute route. The methods of the three studies included: 1) a questionnaire-based investigation with regular bicycle commuters in Brisbane, Australia. Participants (n = 153; age = 41 ± 11 yr; 28% female) reported the characteristics of their typical bicycle commute, along with exposure perception and acute respiratory symptoms, and amenability for using a respirator or re-routing their commute as risk management strategies; 2) inhaled particle counts measured along popular pre-identified bicycle commute route alterations of low (LOW) and high (HIGH) motorised traffic to the same inner-city destination at peak commute traffic times. During commute, real-time particle number concentration (PNC; mostly in the UFP range) and particle diameter (PD), heart and respiratory rate, geographical location, and meteorological variables were measured. To determine inhaled particle counts, ventilation rate was calculated from heart-rate-ventilation associations, produced from periodic exercise testing; 3) thirty-five healthy adults (mean ± SD: age = 39 ± 11 yr; 29% female) completed two return trips of their typical route (HIGH) and a pre-determined altered route of lower proximity to motorised traffic (LOW; determined by the proportion of on-road cycle paths). Particle number concentration (PNC) and diameter (PD) were monitored in real-time in-commute. Acute inflammatory indices of respiratory symptom incidence, lung function and spontaneous sputum (for inflammatory cell analyses) were collected immediately pre-commute, and one and three hours post-commute. The main results of the three studies are that: 1) healthy individuals reported a higher incidence of specific acute respiratory symptoms in- and post- (compared to pre-) commute (p < 0.05). The incidence of specific acute respiratory symptoms was significantly higher for participants with respiratory disorder history compared to healthy participants (p < 0.05). The incidence of in-commute offensive odour detection, and the perception of in-commute air pollution exposure, was significantly lower for participants with smoking history compared to healthy participants (p < 0.05). Females reported significantly higher incidence of in-commute air pollution exposure perception and other specific acute respiratory symptoms, and were more amenable to commute re-routing, compared to males (p < 0.05). Healthy individuals have indicated a higher incidence of acute respiratory symptoms in- and post- (compared to pre-) bicycle commuting, with female gender and respiratory disorder history indicating a comparably-higher susceptibility; 2) total mean PNC of LOW (compared to HIGH) was reduced (1.56 x e4 ± 0.38 x e4 versus 3.06 x e4 ± 0.53 x e4 ppcc; p = 0.012). Total estimated ventilation rate did not vary significantly between LOW and HIGH (43 ± 5 versus 46 ± 9 L•min; p = 0.136); however, due to total mean PNC, accumulated inhaled particle counts were 48% lower in LOW, compared to HIGH (7.6 x e8 ± 1.5 x e8 versus 14.6 x e8 ± 1.8 x e8; p = 0.003); 3) LOW resulted in a significant reduction in mean PNC (1.91 x e4 ± 0.93 x e4 ppcc vs. 2.95 x e4 ± 1.50 x e4 ppcc; p ≤ 0.001). Commute distance and duration were not significantly different between LOW and HIGH (12.8 ± 7.1 vs. 12.0 ± 6.9 km and 44 ± 17 vs. 42 ± 17 mins, respectively). Besides incidence of in-commute offensive odour detection (42 vs. 56 %; p = 0.019), incidence of dust and soot observation (33 vs. 47 %; p = 0.038) and nasopharyngeal irritation (31 vs. 41 %; p = 0.007), acute inflammatory indices were not significantly associated to in-commute PNC, nor were these indices reduced with LOW compared to HIGH. The main conclusions of the three studies are that: 1) the perception of air pollution exposure levels and the amenability to adopt exposure risk management strategies where applicable will aid the general population in shifting from passive, motorised transport modes to bicycle commuting; 2) for bicycle commuting at peak morning commute times, inhaled particle counts and therefore cardiopulmonary health risk may be substantially reduced by decreasing exposure to motorised traffic, which should be considered by both bicycle commuters and urban planners; 3) exposure to PNC, and the incidence of offensive odour and nasopharyngeal irritation, can be significantly reduced when utilising a strategy of lowering proximity to motorised traffic whilst bicycle commuting, without significantly increasing commute distance or duration, which may bring important benefits for both healthy and susceptible individuals. In summary, the findings from this project suggests that bicycle commuters can significantly lower their exposure to ultrafine particle emissions by varying their commute route to reduce proximity to motorised traffic and associated combustion emissions without necessarily affecting their time of commute. While the health endpoints assessed with healthy individuals were not indicative of acute health detriment, individuals with pre-disposing physiological-susceptibility may benefit considerably from this risk management strategy – a necessary research focus with the contemporary increased popularity of both promotion and participation in bicycle commuting.

A hybrid genetic algorithm for the minimum interconnection cut problem

In the real world there are many problems in network of networks (NoNs) that can be abstracted to a so-called minimum interconnection cut problem, which is fundamentally different from those classical minimum cut problems in graph theory. Thus, it is desirable to propose an efficient and effective algorithm for the minimum interconnection cut problem. In this paper we formulate the problem in graph theory, transform it into a multi-objective and multi-constraint combinatorial optimization problem, and propose a hybrid genetic algorithm (HGA) for the problem. The HGA is a penalty-based genetic algorithm (GA) that incorporates an effective heuristic procedure to locally optimize the individuals in the population of the GA. The HGA has been implemented and evaluated by experiments. Experimental results have shown that the HGA is effective and efficient.