Laboratory experiments in support of the development and validation of a model of bubble cloud resulting from an underwater explosion are described in this report.
Our scientific and technical publications are an important vehicle for the dissemination of our work.
We have several goals for our publications:
- To communicate the results of the research program to clients and fulfil our reporting responsibilities to the Department of Defence.
- To record the results of our research program.
- To communicate the results of scientific research and technical information to Australian industry and academia.
- To increase awareness of and enhance the reputation of DST Group.
Latest scientific publications
DST Group conducted tensile and dynamic testing on an expired HUSLE assembly in order to identify the mechanical properties of the roundslings.
Text Classification of Network Intrusion Alerts to Enhance Cyber Situation Awareness and Automate Alert Triage
In this paper, an Artificial Intelligence (AI) techniques used to automate the derivation of context from IDS alerts is described.
Development of a Fast Lumped Parameter Interior Ballistic Model for the Investigation of Novel Grain Geometry Performance
The implementation of a lumped parameter interior ballistic model that incorporates a number of grain geometry form functions for different propellant types is described in this report.
Situation Awareness is a critical factor for decision making in complex dynamic environments. Information fusion techniques enable machines to augment human situation awareness, provided the machine representation of the situation can be conveyed to the human operator reliably. The problem, addressed in this report, is to order a set of events (a plot) in such a way as to result in a narrative which maximises audience engagement, but does not mislead with respect to the temporal relationship of significant events.
This report documents the outcomes of an investigation into the utility of Augmented Reality (AR) for Land Logistics and Combat Service support, under Defence Science and Technology Group’s 2016/17 Summer Vacation Placement program.
Characterisation of Dirt, Dust and Volcanic Ash: A Study on the Potential for Gas Turbine Engine Degradation
This study characterised a selection of dirt, dust and volcanic ash samples in order to assess their potential for causing engine degradation.
In this report the Computer Vision System toolbox of MATLAB® and the Visual Structure from Motion software are evaluated on three datasets of airborne imagery.