3 resultados para Sign Design.

em Deakin Research Online - Australia


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Health is inherently 'ecological' and the natural environment plays a crucial role in human health and well-being. Yet we do not necessarily design, manage or market such areas in ways that acknowledge this link. This paper draws on recent research by a Deakin University team exploring the links between use of and involvement in the maintenance of forests/woodlands, and health and well-being outcomes. Qualitative and quantitative methods have been used to collect data from forest/woodland users and tram volunteers contributing to management and maintenance of such areas, concerning their perceptions of the impacts of the experience
on their health and well-being. In two of the projects, samples of 'users' and 'volunteers' were compared with samples 'non-users' and 'non-volunteers'. Several of the studies included the use of scales of self-rated health, social cohesion, and frequency of use of medical services.The studies have identified a range of perceived physical, mental and social health benefits resulting from use of and/or engagement with forests/woodlands. Study findings have implications for design, management and marketing of such areas, since they identity factors influencing use of and engagement with such areas, and have the potential to promote more widespread recognition of the value of such areas and more commitment to them by individuals, communities and governments. The challenge for us is to build on this research base to more clearly Signpost the mutually beneficial links between forest and woodland ecosystems and human health and well-being, creating new and better pathways to a healthy future.

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This study mainly focuses on the terminal sliding mode control (TSMC) strategy design, including an adaptive terminal sliding mode control (ATSMC) and an exact-estimator-based terminal sliding mode control (ETSMC) for second-order nonlinear dynamical systems. In the ATSMC system, an adaptive bound estimation for the lump uncertainty is proposed to ensure the system stability. On the other hand, an exact estimator is designed for exact estimating system uncertainties to solve the trouble of chattering phenomena caused by a sign function in ATSMC law in despite of the utilization of a fixed value or an adaptive tuning algorithm for the lumped uncertainty bound. The effectiveness of the proposed control schemes can be verified in numerical simulations.

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BACKGROUND : Deakin engineering has used Design Based Learning (DBL) as one of its engineering learning principles for further development in teaching and learning. Whilst the students are surveyed after every unit, this data only provides a generic overview of the process and does not help the academic staff determine if DBL is a preferable learning and teaching approach. What is required to improve the process is a holistic approach from the students’ perspective over the entire degree program.

PURPOSE : Do students see any value in DBL and should it be is further developed for teaching and learning? This study examines students’ perceptions of DBL in their curriculum, DBL in final year project, DBL in engineering career.

DESIGN/METHOD : A survey dedicated to DBL from the students’ point of view has been designed and given to 30 fulltime students in 3rd year in engineering at Deakin. A qualitative and quantitative analysis of this survey will give students’ perspective of DBL as they progress through their degree studies.

RESULTS : The full time students’ surveyed indicated that they believed that DBL was a useful tool and was of value to their career. Also that it would be helpful as part of their final project and that it helps teamwork although they would like to see it used for both team and individual work.

CONCLUSIONS : The full time students’ surveyed displayed a basic understanding of DBL and an eagerness to use it. Students’ perceived that DBL approach got an important value in their learning curriculum and it is a positive sign for the Deakin engineering to use it as one of its engineering learning principle.