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Institution

Defence Science and Technology Organisation

NonprofitCanberra, Australian Capital Territory, Australia
About: Defence Science and Technology Organisation is a nonprofit organization based out in Canberra, Australian Capital Territory, Australia. It is known for research contribution in the topics: Radar & Clutter. The organization has 2465 authors who have published 3856 publications receiving 90614 citations.
Topics: Radar, Clutter, Laser, Paris' law, Bistatic radar


Papers
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Journal ArticleDOI
TL;DR: In this article, the effects of liquid-metal environments can be explained on the basis that chemisorption reduces the shear strength of interatomic bonds at crack tips and thereby facilitates nucleation of dislocations at crack tip.

76 citations

Journal ArticleDOI
TL;DR: In this paper, a theoretical and experimental investigation of the scattering behavior of extensional and flexural plate waves by a cylindrical inhomogeneity is presented, where exact solutions are obtained by using wave function expansion method, while the Born first approximation has been employed to derive explicit solutions that form the basis for efficient parametric inversion and eigenfunction back-propagation.

76 citations

Journal ArticleDOI
TL;DR: In this paper, a 3D magnetoionic Hamiltonian ray tracing engine was employed to model the various disturbance features observed on both the O and X polarization modes in our QVI data and understand how they are produced.
Abstract: [1] The Defence Science and Technology Organisation (DSTO) has initiated an experimental program, Spatial Ionospheric Correlation Experiment, utilizing state-of-the-art DSTO-designed high frequency digital receivers. This program seeks to understand ionospheric disturbances at scales < 150 km and temporal resolutions under 1 min through the simultaneous observation and recording of multiple quasi-vertical ionograms (QVI) with closely spaced ionospheric control points. A detailed description of and results from the first campaign conducted in February 2008 were presented by Harris et al. (2012). In this paper we employ a 3-D magnetoionic Hamiltonian ray tracing engine, developed by DSTO, to (1) model the various disturbance features observed on both the O and X polarization modes in our QVI data and (2) understand how they are produced. The ionospheric disturbances which produce the observed features were modeled by perturbing the ionosphere with atmospheric gravity waves.

76 citations

Journal ArticleDOI
TL;DR: In this article, the authors considered the problem of stochastic stability and disturbance attenuation for a class of linear discretetime systems, and proposed a controller to guarantee the stability and robustness of the system.
Abstract: The problems of stochastic stability and stochastic disturbance attenuation for a class of linear discretetime systems are considered in this paper. The system under study is a state space model possessing two Markovian jump parameters: one is failure process and another is failure detection and isolation scheme. A controller is designed to guarantee the stochastic stability and a disturbance attenuation level. Robustness problems for the above system with norm-bounded parameter uncertainties are also investigated. It is shown that the uncertain system can be robustly stochastically stabilized and have a robust disturbance attenuation level for all admissible perturbations if a set of coupled Riccati inequalities has solutions. A numerical example is given to show the potential of the proposed technique. Copyright

76 citations

Journal ArticleDOI
TL;DR: In this article, an interferometric technique for thin-film thermal detectors is described, whereby a thermally sensitive material in the form of a semiconductor or dielectric layer becomes an integral component of a 3-layer absorber stack.

75 citations


Authors

Showing all 2476 results

NameH-indexPapersCitations
Peng Shi137137165195
Wayne Hu9830833371
Johan A. Martens8872028126
Maria Forsyth8474933340
Patrick M. Sexton7535021559
Xungai Wang6867519654
Michael D. Lee6528816437
Tanya M. Monro6556815880
Jan E. Leach6422213086
Raymond C. Boston6345415839
Adrian P. Mouritz6128414191
Christine E. A. Kirschhock522319225
Robin J. Evans5255114169
Chun H. Wang513318300
Branko Ristic4825310982
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20237
202213
20213
20203
201912
201814