"Last-Mile" preparation for a potential disaster - Interdisciplinary approach towards tsunami early warning and an evacuation information system for the coastal city of Padang, Indonesia

Extreme natural events, like e.g. tsunamis or earthquakes, regularly lead to catastrophes with dramatic consequences. In recent years natural disasters caused hundreds of thousands of deaths, destruction of infrastructure, disruption of economic activity and loss of billions of dollars worth of property and thus revealed considerable deficits hindering their effective management: Needs for stakeholders, decision-makers as well as for persons concerned include systematic risk identification and evaluation, a way to assess countermeasures, awareness raising and decision support systems to be employed before, during and after crisis situations. The overall goal of this study focuses on interdisciplinary integration of various scientific disciplines to contribute to a tsunami early warning information system. In comparison to most studies our focus is on high-end geometric and thematic analysis to meet the requirements of smallscale, heterogeneous and complex coastal urban systems. Data, methods and results from engineering, remote sensing and social sciences are interlinked and provide comprehensive information for disaster risk assessment, management and reduction. In detail, we combine inundation modeling, urban morphology analysis, population assessment, socioeconomic analysis of the population and evacuation modeling. The interdisciplinary results eventually lead to recommendations for mitigation strategies in the fields of spatial planning or coping capacity. © Author(s) 2009.

Developing smart services by Internet of Things in manufacturing business

Manufacturing companies have passed from selling uniquely tangible products to adopting a service-oriented approach to generate steady and continuous revenue streams. Nowadays, equipment and machine manufacturers possess technologies to track and analyze product-related data for obtaining relevant information from customers’ use towards the product after it is sold. The Internet of Things on Industrial environments will allow manufacturers to leverage lifecycle product traceability for innovating towards an information-driven services approach, commonly referred as “Smart Services”, for achieving improvements in support, maintenance and usage processes. The aim of this study is to conduct a literature review and empirical analysis to present a framework that describes a customer-oriented approach for developing information-driven services leveraged by the Internet of Things in manufacturing companies. The empirical study employed tools for the assessment of customer needs for analyzing the case company in terms of information requirements and digital needs. The literature review supported the empirical analysis with a deep research on product lifecycle traceability and digitalization of product-related services within manufacturing value chains. As well as the role of simulation-based technologies on supporting the “Smart Service” development process. The results obtained from the case company analysis show that the customers mainly demand information that allow them to monitor machine conditions, machine behavior on different geographical conditions, machine-implement interactions, and resource and energy consumption. Put simply, information outputs that allow them to increase machine productivity for maximizing yields, save time and optimize resources in the most sustainable way. Based on customer needs assessment, this study presents a framework to describe the initial phases of a “Smart Service” development process, considering the requirements of Smart Engineering methodologies.

Requirements for the use of virtual worlds in corporate training : perspectives from the post-mortem of a corporate e-learning provider approach of Second Life and OpenSimulator

Between 2009 and 2011, a joint academia-industry effort took place to integrate Second Life and OpenSimulator platforms into a corporate elearning provider’s learning management platform. The process involved managers and lead developers at the provider and an academic engineering research team. We performed content analysis on the documents produced in this process, seeking data on the corporate perspective of requirements for virtual world platforms to be usable in everyday practice. In this paper, we present the requirements found in the documents, and detail how they emerged and evolved throughout the process.

University students' engagement: Development of the university student engagement inventory (USEI)

Student engagement is a key factor in academic achievement and degree completion, though there is much debate about the operationalization and dimensionality of this construct. The goal of this paper is to describe the development of an psycho-educational oriented measure – the University Student Engagement Inventory (USEI). This measure draws on the conceptualization of engagement as a multidimensional construct, including cognitive, behavioural and emotional engagement. Participants were 609 Portuguese University students (67 % female) majoring in Social Sciences, Biological Sciences or Engineering and Exact Sciences. The content, construct and predictive validity, and reliability of the USEI were tested. The validated USEI was composed of 15 items, and supported the tri-factorial structure of student engagement. We documented evidence of adequate reliability, factorial, convergent and discriminant validities. USEI’s concurrent validity, with the Utrecht Work Engagement Scale-Student Survey, and the predictive validity for self-reported academic achievement and intention to dropout from school were also observed.

Analysis of competitiveness level in an industrial company using a continuous improvement based approach

International audience

MULTI-UNIT ACCIDENT CONTRIBUTIONS TO U.S. NUCLEAR REGULATORY COMMISSION QUANTITATIVE HEALTH OBJECTIVES: A SAFETY GOAL POLICY ANALYSIS USING MODELS FROM STATE-OF-THE-ART REACTOR CONSEQUENCE ANALYSES

The U.S. Nuclear Regulatory Commission implemented a safety goal policy in response to the 1979 Three Mile Island accident. This policy addresses the question “How safe is safe enough?” by specifying quantitative health objectives (QHOs) for comparison with results from nuclear power plant (NPP) probabilistic risk analyses (PRAs) to determine whether proposed regulatory actions are justified based on potential safety benefit. Lessons learned from recent operating experience—including the 2011 Fukushima accident—indicate that accidents involving multiple units at a shared site can occur with non-negligible frequency. Yet risk contributions from such scenarios are excluded by policy from safety goal evaluations—even for the nearly 60% of U.S. NPP sites that include multiple units. This research develops and applies methods for estimating risk metrics for comparison with safety goal QHOs using models from state-of-the-art consequence analyses to evaluate the effect of including multi-unit accident risk contributions in safety goal evaluations.

Energy Efficiency of Software Transactional Memory in a Heterogeneous Architecture

Hardware vendors make an important effort creating low-power CPUs that keep battery duration and durability above acceptable levels. In order to achieve this goal and provide good performance-energy for a wide variety of applications, ARM designed the big.LITTLE architecture. This heterogeneous multi-core architecture features two different types of cores: big cores oriented to performance and little cores, slower and aimed to save energy consumption. As all the cores have access to the same memory, multi-threaded applications must resort to some mutual exclusion mechanism to coordinate the access to shared data by the concurrent threads. Transactional Memory (TM) represents an optimistic approach for shared-memory synchronization. To take full advantage of the features offered by software TM, but also benefit from the characteristics of the heterogeneous big.LITTLE architectures, our focus is to propose TM solutions that take into account the power/performance requirements of the application and what it is offered by the architecture. In order to understand the current state-of-the-art and obtain useful information for future power-aware software TM solutions, we have performed an analysis of a popular TM library running on top of an ARM big.LITTLE processor. Experiments show, in general, better scalability for the LITTLE cores for most of the applications except for one, which requires the computing performance that the big cores offer.

A mobile cloud computing framework integrating multilevel encoding for performance monitoring in telerehabilitation

Recent years have witnessed a surge in telerehabilitation and remote healthcare systems blessed by the emerging low-cost wearable devices to monitor biological and biokinematic aspects of human beings. Although such telerehabilitation systems utilise cloud computing features and provide automatic biofeedback and performance evaluation, there are demands for overall optimisation to enable these systems to operate with low battery consumption and low computational power and even with weak or no network connections. This paper proposes a novel multilevel data encoding scheme satisfying these requirements in mobile cloud computing applications, particularly in the field of telerehabilitation. We introduce architecture for telerehabilitation platform utilising the proposed encoding scheme integrated with various types of sensors. The platform is usable not only for patients to experience telerehabilitation services but also for therapists to acquire essential support from analysis oriented decision support system (AODSS) for more thorough analysis and making further decisions on treatment.

A framework for managing learning teams in engineering

BACKGROUND: Team learning is an integral part of engineering education today and teamwork knowledge, teamwork skills and teamwork product have been included as one of the major components of engineering graduate outcomes in undergraduate engineering course/program curriculum. In spite of enormous research advances in theoretical aspects of learning and working in teams, anecdotal evidence suggests that most engineering academic staff are inundated by student complaints of not being able to work in a learning team due to numerous reasons. In addition to student complaints, most engineering academic staff are non-expert in team learning theories and methodologies and hence are unsure of specific learning outcomes of a teamwork, approaches to achieve those learning outcomes, suitability of team learning in a particular unit/subject, planning required for implementing teamwork, implementation and monitoring teamwork and teamwork reflection. Too often engineering academic staff include teamwork, yet without adequate preparation and with little understanding about how to use their time to achieve the greatest gains for themselves or for their students. Hence, there is a clear need for a framework for managing learning teams in engineering units.
PURPOSE OR GOAL: This study develops a framework for managing learning teams in engineering units through extensive review of existing literature and anecdotal practices. The focus is to provide step-by-step procedure so that the problems of team learning in engineering can be reduced. Depending upon the time and resources available to academic staff, the framework would help to choose an optimal path and associated strategies.
APPROACH: This study uses evidence-based literature knowledge to develop a framework that help to manage engineering students’ learning teams. The literature information are discussed in reference to anecdotal practices from undergraduate engineering classrooms.
DISCUSSION: The literature review suggests that for better management of learning teams, engineering academic staff need to focus on specifying learning outcomes of a teamwork, identifying appropriate approaches to achieve these learning outcomes, judging the suitability of team learning in a particular learning context, developing a clear plan for implementing teamwork, implementing and monitoring teamwork and reflecting and re-evaluating teamwork. Elaborated discussions regarding these issues can help academic staff to manage learning teams effectively and efficiently.
RECOMMENDATIONS/IMPLICATIONS/CONCLUSION: Depending upon the availability of time and resources and the suitability of a particular educational context, managing engineering learning teams can be both simple as well as complex. The developed framework may assist engineering academic staff to manage teamwork in their engineering units. For further research, the framework need to implemented, monitored, evaluated and revised.

Relationships between civil engineering students’ learning approaches and their perception of curriculum and teaching quality

BACKGROUND: Deakin University graduated its first cohort from four-year undergraduate civil engineering course/program in 2012. The internal annual Course Experience Survey, which has been running annually since 2012, targets to identify the graduating students’ learning approaches and students’ perceptions of the curriculum and teaching quality. Literature suggests that students’ learning outcomes can be achieved more efficiently when the students’ perceptions of curriculum and teaching quality are closely aligned with their learning approaches. Where the students’ approaches to learning and their perception of curriculum and teaching quality are mismatched, a series of frustrations can result for the students that may not only negatively impact their learning achievement but also their learning experience.
PURPOSE OR GOAL: This study explores the relationships between students’ learning approaches and their perception of curriculum and teaching quality in an undergraduate civil engineering program/course. This will help understand whether the curriculum and teaching quality provided by the university have actually accommodated ‘all’ enrolled students in the similar way.
APPROACH: To uncover these relationships, this study adopts questionnaire survey approach to collect response data over a two year period by asking students about their perception through a series of statements. 5-point Likert-scale questionnaire survey (strongly disagree, disagree, neutral, agree, strongly agree) is developed and responses are collected. The responses are then statistically analysed in order to uncover the relationships between students’ learning approaches and their perception of curriculum and teaching quality provided by the university.
DISCUSSION: Deep learners and surface learners had a statistically different perception of curriculum and teaching quality. These results contradict the assumption that learners will have uniform preferences on the curriculum, teaching quality and the way they deal with the demands of specific learning situations. Anecdotal belief that ‘good course/program curriculum and good teaching approaches are good for all students and vice-versa’ may not be strictly true for contemporary heterogeneous student cohorts.
RECOMMENDATIONS/IMPLICATIONS/CONCLUSION: This finding highlights the challenge for curriculum designer to design appropriate course curriculum and teaching staff to implement efficient teaching strategies that benefit both surface and deep learners, who are usually enrolled together. It may be beneficial to provide diversity and flexibility in the curriculum and teaching approaches (rather than a uniform approach). However, this may demand additional resources and may also be questioned for equity and consistency of education. It is also important to note that due to relatively a small dataset, these results may not be generalised.

Design of learning spaces for engineering education

BACKGROUND OR CONTEXT: With the re-imagining of engineering education at Deakin University an opportunity was presented with the ability to design purpose built spaces. With this development a review of leading practice educational spaces was undertaken specifically in a product development unit as well as a materials unit. Whilst both areas have different needs there were some common elements with the location of teaching aids, apparatus and experimental set-up and collaborative teaching spaces.
PURPOSE OR GOAL: This study examined what would a best practice learning environment look like in two different disciplines and what is the connection and similarities in a problem based learning environment. A benchmarking study and literature review on best practice was undertaken; this learning space was intrinsically linked to the educational model. Aspects of the educational model have started to be implemented in this long term project
APPROACH: Student perceptions were measured primarily through standard unit feedback for both units as well as student comments on the units. Engagement of students was the primary focus of the redesign of purpose built spaces as well as curriculum review. By placing students into specifically designed spaces to enhance learning outcomes it is anticipated that the knowledge and skills attainment will be higher for all students.
DISCUSSION: The redevelopment of learning spaces has forced staff to think hard about their units and how space impacts on student educations. With both the materials and product development units, student had the ability to move through spaces depending on what they were doing. This ability to move is a combination of the educational model, the facilities and staff/student interaction.
RECOMMENDATIONS/IMPLICATIONS/CONCLUSION: While part of a long term redevelopment of facilities and curriculum, it has been found that when the facilities match the educational model student engagement is higher. This has been support in both the literature and observation through student and staff evaluations of the unit. It is expected that as students adapt to the new educational model further they will make greater use of the purpose built facilities.

Does student engagement improve when 1:1 device technologies are used and adapted to cater for individual learning styles during online delivery of engineering courses?

BACKGROUND OR CONTEXT: A developing international engineering industry is dependent on competition and innovation, creating a market for highly skilled graduates from respected overseas and Australian Engineering universities. The delivery of engineering teaching and learning via blended faceto-face, problem based, research focused and online collaborative learning will continue to be the foundation of future engineering education, however, it will be those institutions who can reshape its learning spaces within a culture of innovation using 1:1 devices that will continue to attract the brightest minds. Investing in educational research that explores the preferred learning styles of learners and matching this to specifically designed 1:1 personalized web applications may be the ‘value add’ to improve student engagement. In this paper, a survey of Australian engineering education is presented and contrasted against a backdrop of internationally recognised educational pedagogy to demonstrate how engineering teaching and learning has changed over time. This paper draws on research and identifies a gap where a necessity to question the validity of 1:1 devices as the next step in the evolution of engineering education needs to be undertaken. How will teaching and learning look using 1:1 devices and will it drive student demand into engineering higher
education courses. Will this lead to improving professional standards within a dynamic engineering education context? How will current and future teaching and learning be influenced by constructivism using 1:1 device technologies? How will the engineering industry benefit from higher education investment in individualised engineering education
using 1:1 devices for teaching and learning?
PURPOSE OR GOAL: To review the current academic thinking around the topic of 1:1 devices within higher education engineering teaching and learning context in Australia. To identify any gaps in the current understandings and use of 1:1 devices within engineering courses in Australia. To generate discussion and better understanding about how the use of 1:1 devices may hinder and/or improve teaching and learning and student engagement.
APPROACH: A review covering the development of engineering education in Australia and a broader international review of engineering teaching methodology. To identify the extent of research into the use and effectiveness of online strategies within engineering education utilising 1:1 devices for teaching and learning. i.e. “Students must feel that they are part of a learning community and derive motivation to engage in the study material from the lecturer.’ (Lloyd et al., 2001) It is proposed to add to the current body of understandings and explore the effectiveness of a constructiveness teaching approach using course material specifically designed to cater for individual learning styles and delivered via the use of 1:1 devices in the classroom. It is anticipated the research will contrast current engineering teaching and learning practices and identify factors that will facilitate a greater understanding about student connectedness and engagement with the teaching and learning experience; where a constructiveness environment is supported with the use of 1:1 devices. Also, it is anticipated that the constructed learning environment will foster a culture of innovation and students will be empowered to take control of their own learning and be encouraged to contribute back to the discussion initiated by the lecture and/or course material with the aid of 1:1 device technologies. A gap has been identified in the academic literature that show there is a need to understand the relationship between engineering teaching, learning, students engagement and the use of 1:1 devices.
DISCUSSION: A review covering the development of engineering education in Australia and a broader international review of engineering teaching methodology. To identify the extent of research into the use and effectiveness of online strategies within engineering education utilising 1:1 devices for teaching and learning. i.e. “Students must feel that they are part of a learning community and derive motivation to engage in the study material from the lecturer.’ (Lloyd et al., 2001) It is proposed to add to the current body of understandings and explore the effectiveness of a constructiveness teaching approach using course material specifically designed to cater for individual learning styles and delivered via the use of 1:1 devices in the classroom.
ANTICIPATED OUTCOMES: It is anticipated the research will contrast current engineering teaching and learning practices and identify factors that will facilitate a greater understanding about student connectedness and engagement with the teaching and learning experience; where a constructiveness environment is supported with the use of 1:1 devices. Also, it is anticipated that the constructed learning environment will foster a culture of innovation and students will be empowered to take control of their own learning and be encouraged to contribute back to the discussion initiated by the lecture and/or course material with the aid of 1:1 device technologies. A gap has been identified in the academic literature that show there is a need to understand the relationship between engineering teaching, learning, students engagement and the use of 1:1 devices.
RECOMMENDATIONS/IMPLICATIONS/CONCLUSION: A gap exists in the current research about the effectiveness and use of 1:1 devices in engineering education; therefore, it is necessary to undertake further research in the area. It is proposed to hypothesize and conduct field research to identify any shortcomings and possible benefits for engineering educators and learners within a constructivist-teaching
context that explores the relationship between the use of personalized 1:1 devices for teaching and learning, adapting for individual learning styles, and identification and application of appropriate teaching and learning strategies within a constructiveness engineering course approach. Research is required to clarify the following research questions;
• What education teaching and learning strategies best facilitate the use of 1:1 devices for online teaching and learning?
• Does student engagement improve when 1:1 device technologies are used and adapted to cater for individual learning styles during online delivery of engineering courses?
• What are the factors within a university engineering faculty that may hinder and/or support the use of 1:1 devices for online teaching and learning?
• To what extent do 1:1 devices assist engineering educators and students to foster a culture of innovation? The study results will offer engineering educators and students an opportunity to reflect on
their current teaching and learning practice, and contextualise the use of 1:1 devices as a tool to improve student engagement. It is expected the learning benefits will outweigh the implementation costs and derive a unique learning experience that will empower engineering educators and students to inspire a culture of innovation.

A research agenda for design-based learning in engineering education

It is often argued that ‘design’ is an (perhaps the) essential characteristic of engineering practice; that, “Design requires unique knowledge, skills, and attitudes common to all engineering disciplines, and it is these attributes that distinguish engineering as a profession.” Hence, it is not surprising to see engineering design identified as a key element of engineering education. There are a range of pedagogical models described, badged with a range of names, that are suggested as approaches to teaching engineering design, for example: project-based learning, problem-based learning, design-based learning, conceive-design-implement-operate (CDIO), problem-oriented project-based learning, social design based learning and project-oriented, design-based learning. While significant literature on engineering design education generally exists, many authors note open questions regarding optimal pedagogical approaches, and opportunities for further evaluation and research. In this paper we draw on literature about design education and DBL in engineering education, and synthesise themes that present a potential research agenda for those educators involved in DBL in engineering education.A search of the research literature was conducted using terms related to DBL in engineering education, including ‘Engineering Design’, ‘Design Education’, ‘Engineering + Project Based Learning’, ‘Engineering + Problem Based Learning’ and ‘Engineering + Design Based Learning’. The literature thus collected was expanded by inspecting the lists of references in the initially identified literature set for further potentially relevant literature. This process was repeated until no further related literature was identified, and resulted in 124 items. All collected literature was carefully reviewed for explicitly identified suggestions for future research. The authors also considered the literature set as a whole to identify additional research possibilities implied by aspects of DBL practice commonly addressed weakly, or not at all, in the available published research. From the results of this review, a set of themes was synthesised by grouping related research recommendations and possibilities. In the following section the identified research themes are presented and, for each, a summary of the supporting literature is given and a central research question is formulated by the authors.

The applicability of self-regulation theories in sport: Goal adjustment capacities, stress appraisals, coping, and well-being among athletes

We examined a model, informed by self-regulation theories from the health psychology literature, which included goal adjustment capacities, appraisals of challenge and threat, coping, and well-being. Two-hundred and twelve athletes from the United Kingdom (n 147)= or Australia (n = 65), who played team (n = 135) or individual sports (n = 77), and competed at international (n = 7), national (n = 11), county (n = 67), club (n = 84), or beginner (n = 43) levels participated in this study. Participants completed measures of goal adjustment capacities and stress appraisals two days before competing. Athletes also completed coping and well-being questionnaires within three hours of their competition ending.The way an athlete responded to an unattainable goal was associated with his or her well-being in the period leading up to and including the competition. Goal reengagement positively predicted well-being, whereas goal disengagement negatively predicted well-being. Further, goal reengagement was positively associated with challenge appraisals, which in turn was linked to task-oriented coping, and task-oriented coping positively associated with well-being.When highly-valued goals become unattainable, consultants and coaches could encourage athletes to generate alternative approaches to achieve the same goal or help them develop a completely new goal in order to promote well-being among athletes.

Adaptive security for software systems

With continuously changing operational and business needs, system security is one of the key system capabilities that need to be updated as well. Most security engineering efforts focus on engineering security requirements of software systems at design time and existing adaptive security engineering efforts require complex design-time preparation. In this chapter we discuss the needs for adaptive software security, and key efforts in this area. We then introduce a new runtime adaptive security engineering approach, which enables adapting software security capabilities at runtime based on new security objectives, risks/threats, requirements as well as newly reported vulnerabilities. We categorize the source of adaptation in terms of manual adaptation (managed by end users), and automated adaption (automatically triggered by the platform). The new platform makes use of new ideas we built for vulnerability analysis, security engineering using aspect-oriented programming, and model-driven engineering techniques.