HMM triangle relative entropy concepts in sequential change detection applied to vision-based dim target manoeuvre detection

The quick detection of abrupt (unknown) parameter changes in an observed hidden Markov model (HMM) is important in several applications. Motivated by the recent application of relative entropy concepts in the robust sequential change detection problem (and the related model selection problem), this paper proposes a sequential unknown change detection algorithm based on a relative entropy based HMM parameter estimator. Our proposed approach is able to overcome the lack of knowledge of post-change parameters, and is illustrated to have similar performance to the popular cumulative sum (CUSUM) algorithm (which requires knowledge of the post-change parameter values) when examined, on both simulated and real data, in a vision-based aircraft manoeuvre detection problem.

Dealing with unfinished business : preparing pre-service social education teachers for curriculum change

Pre-service teacher education is unfinished business. New social education teachers face the challenge of fluid policy environments in which curriculum content and pedagogy are continually changing. The evolving Australian curriculum is the most recent example of such fluidity with its emphasis on shifting the educational agenda to a focus on discipline-based approaches. This paper addresses the concerns of final year pre-service and early career social education teachers, in terms of their professional development needs, by drawing on the findings of a pilot study with students and recent graduates from a university in south-east Queensland. It concludes that social education curriculum units which embed links to professional practice and professional development in teaching, learning and assessment may provide the way forward for enhancing the transition to practice for beginning teachers and assist them in navigating constant change.