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Institution

Defence Research Agency

About: Defence Research Agency is a based out in . It is known for research contribution in the topics: Synthetic aperture radar & Radar. The organization has 1211 authors who have published 1109 publications receiving 31542 citations.


Papers
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Journal ArticleDOI
TL;DR: This paper attempts to produce a definition of stress, and proposes a number of stress models which clarify issues in this field, and which might be adopted by the speech community.

64 citations

Journal ArticleDOI
TL;DR: It is indicated that HR and HRV are sensitive to varying task demands in a fighter aviation environment and if these measures were related to variations in pilot’s performance.
Abstract: Fighter pilots' heart rate (HR), heart rate variation (HRV) and performance during instrument approaches were examined. The subjects were required to fly instrument approaches in a high-fidelity simulator under various levels of task demand. The task demand was manipulated by increasing the load on the subjects by reducing the range at which they commenced the approach. HR and the time domain components of HRV were used as measures of pilot mental workload (PMWL). The findings of this study indicate that HR and HRV are sensitive to varying task demands. HR and HRV were able to distinguish the level of PMWL after which the subjects were no longer able to cope with the increasing task demands and their instrument landing system performance fell to a sub-standard level. The major finding was the HR/HRV's ability to differentiate the sub-standard performance approaches from the high-performance approaches. Practitioner Summary: This paper examined if HR and HRV were sensitive to varying task demands in a fighter aviation environment and if these measures were related to variations in pilot's performance.

63 citations

Journal ArticleDOI
TL;DR: In this paper, gravimetic data are presented on both microporous and mesoporous layers etched in p+, p− and n+ wafers using aqueous and ethanoic HF solutions.

63 citations

Journal ArticleDOI
TL;DR: The Bayesian framework is used to construct an inference matrix which can be used to gauge the mutual consistency of multiple graph-matches and is realised as an iterative discrete relaxation process which aims to maximise the elements of the inference matrix.

63 citations

Journal ArticleDOI
TL;DR: The study confirmed that the PCC ring assay is suitable for use as a biodosimeter after whole-body exposure to high doses of radiation, however, there are limitations for its use in the triage of people exposed to high, partial-body doses.
Abstract: The study was undertaken to establish a dose calibration curve for a practical PCC ring assay and to apply it in a simulated mass casualty accident. The PCC assay was validated against the conventional dicentric assay. A linear relationship was established for PCC rings after (60)Co gamma irradiation with doses up to 20 Gy. In the simulated accident experiment, 62 blood samples were analyzed with both the PCC ring assay and the conventional dicentric assay, applying a triage approach. Samples received various uniform and non-uniform (10-40% partial-body) irradiations up to doses of 13 Gy. The results indicated that both assays yielded good dose estimates for the whole-body exposure scenario, although in the lower-dose range (0-6 Gy) dicentric scoring resulted in more accurate whole-body estimates, whereas PCC rings were better in the high-dose range (>6 Gy). Neither assay was successful in identifying partial-body exposures, most likely due to the low numbers of cells scored in the triage mode. In conclusion, the study confirmed that the PCC ring assay is suitable for use as a biodosimeter after whole-body exposure to high doses of radiation. However, there are limitations for its use in the triage of people exposed to high, partial-body doses.

62 citations


Authors

Showing all 1211 results

NameH-indexPapersCitations
Stephen M. Smith128501140104
Jonathan Knight8862537720
M. S. Skolnick7372822112
Alan Tennant7043316870
Richard J. Needs6935219528
Dan S. Henningson6636919038
John Rarity6543415562
Michael J. Uren442948408
Leigh T. Canham4216018268
A. G. Cullis4016111320
Richard A. Pethrick384106918
David S. Lee381138580
Neil Gordon3718137011
Pierfrancesco Lombardo363015018
Peter John Roberts31866679
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20221
20219
202018
201910
20189
201713