Early challenges of shifting an Australian manufacturer’s utilisation of design

This paper presents the findings from the initial exploration phase of an 11 month project, identifying the early challenges that a design innovation catalyst faces while initiating a shift in the way a medium sized manufacturing firm utilises design. Ultimately, the overarching aims of the project are to transform the utilisation of design within the participating company from a styling tool to a strategic process through the implementation of a design led approach to innovation. Insights were found through qualitative interviews with company staff and reflective journal entries as part of an Action Research methodology. Challenges identified include managing expectations, conveying the potential of a design innovation catalyst and a design led approach to innovation, and a siloed and risk averse culture. Findings presented in this paper will assist in identifying and understanding the preliminary challenges encountered by a design innovation catalyst when embarking on a design led transformation. Future innovation catalysts can prepare for possible barriers by highlighting considerations, opportunities and challenges when embarking on a design led transformation. Implications of this research are provided as possible approaches to overcoming these challenges.

Bringing the real world into university learning

Introduction: As part of ongoing quality assurance, all university programs must be regularly reviewed to ensure curriculum is current, meets university and national standards, and for medical science, criteria for AIMS Accreditation. With recent developments at the national and international level also signaling change, a course design team (CDT) was assembled and tasked with developing and implementing a new four year Bachelor of Medical Laboratory Science (BMLS) course at QUT. Method: A whole-of-course approach was adopted, incorporating inverted curriculum and Capstone experience. First, course vision and desired graduate profile are defined as course learning outcomes (CLO), i.e. skills, knowledge, behaviours and attributes graduates must demonstrate. CLO are then back-mapped into introductory, developmental and expected phases from fourth to first year on a course plan and assessment map. Unit learning outcomes (ULO) are then defined, and finally, each unit (subject) designed, directly aligned with assessment. Results: The resulting BMLS course represents a deliberate program of study across four years, which from day one, focuses on the professional aspects of MLS, clinical pathology disciplines, and incrementally developing and assessing the skills, knowledge, behaviours and attributes required to undertake the Work Integrated Learning Internship (WILI) and Capstone experience in final year, and subsequently, graduate from the program. Conclusions: At the start of the year, the BMLS commenced with higher than anticipated enrolments. To date, survey data and feedback is positive, with particular emphasis on the directed nature of the course. The method of course design also ensures university/national standards, and criteria for AIMS Accreditation have been met.

Microalgal species selection for biodiesel production based on fuel properties derived from fatty acid profiles

Physical and chemical properties of biodiesel are influenced by structural features of the fatty acids, such as chain length, degree of unsaturation and branching of the carbon chain. This study investigated if microalgal fatty acid profiles are suitable for biodiesel characterization and species selection through Preference Ranking Organisation Method for Enrichment Evaluation (PROMETHEE) and Graphical Analysis for Interactive Assistance (GAIA) analysis. Fatty acid methyl ester (FAME) profiles were used to calculate the likely key chemical and physical properties of the biodiesel [cetane number (CN), iodine value (IV), cold filter plugging point, density, kinematic viscosity, higher heating value] of nine microalgal species (this study) and twelve species from the literature, selected for their suitability for cultivation in subtropical climates. An equal-parameter weighted (PROMETHEE-GAIA) ranked Nannochloropsis oculata, Extubocellulus sp. and Biddulphia sp. highest; the only species meeting the EN14214 and ASTM D6751-02 biodiesel standards, except for the double bond limit in the EN14214. Chlorella vulgaris outranked N. oculata when the twelve microalgae were included. Culture growth phase (stationary) and, to a lesser extent, nutrient provision affected CN and IV values of N. oculata due to lower eicosapentaenoic acid (EPA) contents. Application of a polyunsaturated fatty acid (PUFA) weighting to saturation led to a lower ranking of species exceeding the double bond EN14214 thresholds. In summary, CN, IV, C18:3 and double bond limits were the strongest drivers in equal biodiesel parameter-weighted PROMETHEE analysis.

Automated aerial inspection guidance with improved turn planning

Aerial inspection of pipelines, powerlines, and other large linear infrastructure networks has emerged in a number of civilian remote sensing applications. Challenges relate to automating inspection flight for under-actuated aircraft with LiDAR/camera sensor constraints whilst subjected to wind disturbances. This paper presents new improved turn planning strategies with guidance suitable for automation of linear infrastructure inspection able to reduce inspection flight distance by including wind information. Simulation and experimental flight tests confirmed the flight distance saving, and the proposed guidance strategies exhibited good tracking performance in a range of wind conditions.

Control of infrastructure inspection aircraft vertical dynamics in the presence of thermal disturbances

The low-altitude aircraft inspection of powerlines, or other linear infrastructure networks, is emerging as an important application requiring specialised control technologies. Despite some recent advances in automated control related to this application, control of the underactuated aircraft vertical dynamics has not been completely achieved, especially in the presence of thermal disturbances. Rejection of thermal disturbances represents a key challenge to the control of inspection aircraft due to the underactuated nature of the dynamics and specified speed, altitude, and pitch constraints. This paper proposes a new vertical controller consisting of a backstepping elevator controller with feedforward-feedback throttle controller. The performance of our proposed approach is evaluated against two existing candidate controllers.

System level tests of transformer differential protection using an IEC 61850 process bus

The IEC 61850 family of standards for substation communication systems were released in the early 2000s, and include IEC 61850-8-1 and IEC 61850-9-2 that enable Ethernet to be used for process-level connections between transmission substation switchyards and control rooms. This paper presents an investigation of process bus protection performance, as the in-service behavior of multi-function process buses is largely unknown. An experimental approach was adopted that used a Real Time Digital Simulator and 'live' substation automation devices. The effect of sampling synchronization error and network traffic on transformer differential protection performance was assessed and compared to conventional hard-wired connections. Ethernet was used for all sampled value measurements, circuit breaker tripping, transformer tap-changer position reports and Precision Time Protocol synchronization of sampled value merging unit sampling. Test results showed that the protection relay under investigation operated correctly with process bus network traffic approaching 100% capacity. The protection system was not adversely affected by synchronizing errors significantly larger than the standards permit, suggesting these requirements may be overly conservative. This 'closed loop' approach, using substation automation hardware, validated the operation of protection relays under extreme conditions. Digital connections using a single shared Ethernet network outperformed conventional hard-wired solutions.

Condition monitoring and operational decision making in semiconductor manufacturing

Today, the majority of semiconductor fabrication plants (fabs) conduct equipment preventive maintenance based on statistically-derived time- or wafer-count-based intervals. While these practices have had relative success in managing equipment availability and product yield, the cost, both in time and materials, remains high. Condition-based maintenance has been successfully adopted in several industries, where costs associated with equipment downtime range from potential loss of life to unacceptable affects to companies’ bottom lines. In this paper, we present a method for the monitoring of complex systems in the presence of multiple operating regimes. In addition, the new representation of degradation processes will be used to define an optimization procedure that facilitates concurrent maintenance and operational decision-making in a manufacturing system. This decision-making procedure metaheuristically maximizes a customizable cost function that reflects the benefits of production uptime, and the losses incurred due to deficient quality and downtime. The new degradation monitoring method is illustrated through the monitoring of a deposition tool operating over a prolonged period of time in a major fab, while the operational decision-making is demonstrated using simulated operation of a generic cluster tool.

An examination of the legislative framework governing commuter safety in the Queensland Mining Industry

Commuting in the mining industry -Background -The problem -Journey management -The structure of the legislative framework Legislation and Regulation -Workplace safety in Queensland mining -Risk management -Mining legislation and journey management -Commuting and employee responsibilities -Queensland Workers’ Compensation Scheme Industry standards -Industry standards and journey management Regulated and organisational policy documents -Policy documents and journey management Observations & Conclusions

Re-think, Re-generate, Re-envisage fashionable sun-safe apparel

Design is a way of thinking and working that systematically can create immense societal change. In particular, fashion design is one of the most progressively forward-looking creative and commercial generators that can envisage and initiate meaningful visual and social transformation. If we look back in time at the authority of fashion, many trends have significantly induced visual norms aligning glamour and health with tanned skin - numerous examples exist, including Vogue magazine proclaiming (front-cover) that ‘The 1929 girl must be tanned’. Indeed, in a contemporary landscape, fashion trends continue to re-generate apparel that, in-the-main, has limited design resolution connected to sun safety, and surprisingly many designers elect to ignore this vital and potentially lucrative market segment. In a context with soaring skin cancer rates, how can this powerful design medium of fashion make a positive difference to sun protection; what is the untapped potential for young design talent to connect with the health sector for skin cancer prevention; and, how can fashion designers be swayed to design and produce fashionable sun-safe apparel, that address pertinent issues including heat build up, comfort and transformability? Through a case study approach, examining emergent fashion designers, this paper will propose that astute and novel avenues exist for fashion to re-think sun protective apparel, including: generation of crucial design standards for sun-safe apparel, exploration of co-branding opportunities, advancement of fashion forecasting to connect modesty of body coverage to fashion trends and alignment of the market segment to re-envisage a critical mass for fashionable sun-safe apparel.

Evolving progress in oncologic and operative outcomes for esophageal and junctional cancer : lessons from the experience of a high-volume center

Objective: Modern series from high-volume esophageal centers report an approximate 40% 5-year survival in patients treated with curative intent and postoperative mortality rates of less than 4%. An objective analysis of factors that underpin current benchmarks within high-volume centers has not been performed. Methods: Three time periods were studied, 1990 to 1998 (period 1), 1999 to 2003 (period 2), and 2004 to 2008 (period 3), in which 471, 254, and 342 patients, respectively, with esophageal cancer were treated with curative intent. All data were prospectively recorded, and staging, pathology, treatment, operative, and oncologic outcomes were compared. Results: Five-year disease-specific survival was 28%, 35%, and 44%, and in-hospital postoperative mortality was 6.7%, 4.4%, and 1.7% for periods 1 to 3, respectively (P < .001). Period 3, compared with periods 1 and 2, respectively, was associated with significantly (P < .001) more early tumors (17% vs 4% and 6%), higher nodal yields (median 22 vs 11 and 18), and a higher R0 rate in surgically treated patients (81% vs 73% and 75%). The use of multimodal therapy increased (P < .05) across time periods. By multivariate analysis, age, T stage, N stage, vascular invasion, R status, and time period were significantly (P < .0001) associated with outcome. Conclusions: Improved survival with localized esophageal cancer in the modern era may reflect an increase of early tumors and optimized staging. Important surgical and pathologic standards, including a higher R0 resection rate and nodal yields, and lower postoperative mortality, were also observed. Copyright © 2012 by The American Association for Thoracic Surgery.

Examining workload models in online and blended teaching

Over the past decade, most Australian universities have moved increasingly towards online course delivery for both undergraduate and graduate programs. In almost all cases, elements of online teaching are part of routine teaching loads. Yet detailed and accurate workload data are not readily available. As a result, institutional policies on academic staff workload are often guided more by untested assumptions about reduction of costs per student unit, rather than being evidence-based, with the result that implementation of new technologies for online teaching has resulted in poorly defined workload expectations. While the academics in this study often revealed a limited understanding of their institutional workload formulas, which in Australia are negotiated between management and the national union through their local branches, the costs of various types of teaching delivery have become a critical issue in a time of increasing student numbers, declining funding, pressures to increase quality and introduce minimum standards of teaching and curriculum, and substantial expenditure on technologies to support e-learning. There have been relatively few studies on the costs associated with workload for online teaching, and even fewer on the more ubiquitous ‘blended’, ‘hybrid’ or ‘flexible’ modes, in which face-to-face teaching is supplemented by online resources and activities. With this in mind the research reported here has attempted to answer the following question: What insights currently inform Australian universities about staff workload when teaching online?

Assessment for Education : Standards, Judgement and Moderation

Do you need a practical guide to assessment, curriculum and policy? Are you also looking for a book that is firmly grounded in the theory of this subject? Assessment for Education combines both theory and practice, making it the perfect guide for students, researchers, academics and teachers. This book makes assessment processes transparent for practitioners, and shows how assessment should relate to education. It looks at evidence-informed decision-making and the interrelationships between standards, judgment and moderation practice for improved assessment, teacher quality, schools and systems. The book will provide you with: ' Knowledge about quality assessment and judgement practice ' Understanding of relationships across curriculum, assessment, teaching and learning ' Knowledge of the concept of front-ending assessment based on the learner's needs ' An analysis of practitioner judgement approaches ' Understanding of the conditions under which teacher assessment can be valid ' Principles derived from research of social moderation practices Whether you are studying and researching assessment or working in curriculum and assessment policy, this book will show you how practitioner use of achievement standards can improve learning, equity, social justice and accountability.

An evaluation of different features and learning models for anomalous event detection

The huge amount of CCTV footage available makes it very burdensome to process these videos manually through human operators. This has made automated processing of video footage through computer vision technologies necessary. During the past several years, there has been a large effort to detect abnormal activities through computer vision techniques. Typically, the problem is formulated as a novelty detection task where the system is trained on normal data and is required to detect events which do not fit the learned ‘normal’ model. There is no precise and exact definition for an abnormal activity; it is dependent on the context of the scene. Hence there is a requirement for different feature sets to detect different kinds of abnormal activities. In this work we evaluate the performance of different state of the art features to detect the presence of the abnormal objects in the scene. These include optical flow vectors to detect motion related anomalies, textures of optical flow and image textures to detect the presence of abnormal objects. These extracted features in different combinations are modeled using different state of the art models such as Gaussian mixture model(GMM) and Semi- 2D Hidden Markov model(HMM) to analyse the performances. Further we apply perspective normalization to the extracted features to compensate for perspective distortion due to the distance between the camera and objects of consideration. The proposed approach is evaluated using the publicly available UCSD datasets and we demonstrate improved performance compared to other state of the art methods.

HMM relative entropy rate concepts for vision-based aircraft manoeuvre detection

Machine vision is emerging as a viable sensing approach for mid-air collision avoidance (particularly for small to medium aircraft such as unmanned aerial vehicles). In this paper, using relative entropy rate concepts, we propose and investigate a new change detection approach that uses hidden Markov model filters to sequentially detect aircraft manoeuvres from morphologically processed image sequences. Experiments using simulated and airborne image sequences illustrate the performance of our proposed algorithm in comparison to other sequential change detection approaches applied to this application.

A novel energy efficient controllable stiffness joint

Achieving energy efficient legged locomotion is an important goal for the future of robot mobility. This paper presents a novel joint for legged locomotion that is energy efficient for two reasons. The first reason is the configuration of the elastic elements and actuator which we show analytically has lower energy losses than the typical arrangement. The second is that the joint stiffness, and hence stance duration, is controllable without requiring any energy from the actuator. Further, the joint stiffness can be changed significantly during the flight phase, from zero to highly rigid. Results obtained from a prototype hopper, demonstrate that the joint allows continuous and peak hopping via torque control. The results also demonstrate that the hopping frequency can be varied between 2.2Hz and 4.6Hz with associated stance duration of between 0.35 and 0.15 seconds.