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Engineering tests and scientific experiments use a variety of techniques to simultaneously record phenomena that frequently are not well correlated to the human's visual and cognitive timeframe. Therefore, the captured data are subsequently analysed in a different timeframe using, for example, slow motion or time lapse, and in some cases the playback rate is variable in a more complex manner. We term this condition time elasticity. We present methods to achieve synchronism amongst the range of media streams captured whilst consuming a low overhead of computing resource. These schemes allow for variable start times and extents for individual media streams as well as providing for variable time increments both within one medium and across a range of media elements. The techniques have been demonstrated within a system for the analysis of vehicle crash tests.

A local area computer network has been designed and implemented to service predominantly the patient-related administrative needs of the Westmead Dental Clinical School. The appropriate software has been developed in-house over a period of time and introduced as the complexity and volume of the tasks increased and as more sophisticated hardware became available. The present arrangement utilizes NEC APC III and NEC APC IV computers with ACSinet networking hardware added to an OMNInet system. Primary functions include the management of extensive patient waiting lists (up to 16,000), treatment lists and laboratory work flow, as well as the provision of a wide range of related statistical information. Wordprocessing is a large scale daily activity. More specialized secondary functions include monitoring of patients allocated to dental students, support of the management of appointments, recalls, mailing lists and some specific research projects including data collection for a quality assurance programme. The network functions separately but simultaneously alongside an extensive hospital-wide VAX cluster and has greatly simplified the handling and management of a vast array of data essential to the management and evaluation of the treatment provided in the Dental Clinical School.