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Institution

Naval Surface Warfare Center

FacilityWashington D.C., District of Columbia, United States
About: Naval Surface Warfare Center is a facility organization based out in Washington D.C., District of Columbia, United States. It is known for research contribution in the topics: Sonar & Radar. The organization has 2855 authors who have published 3697 publications receiving 83518 citations. The organization is also known as: NSWC.


Papers
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Journal ArticleDOI
TL;DR: In this article, the preparation and properties of 2,5-dipicryl-1,3,4-oxadiazole (DPO), a thermally stable substitute for PEIN, are discussed.
Abstract: The preparation and properties of 2,5-dipicryl-1,3,4-oxadiazole (DPO), a thermally stable substitute for PEIN, are discussed. Results of short pulse shock tests on DPO are also given. (b) Standard exploding foil test parameters were used (0.051 mm thick mylar flyer). 12. The m.p. of high purity DPO after crystallization from acetone-methanol is 335°C.

16 citations

Journal ArticleDOI
TL;DR: In this article, an accelerated aging of cyclotetramethylenetrinitramine (RDX) and organic salt (ammonium benzoate) was investigated.

16 citations

Journal ArticleDOI
TL;DR: In this paper, the /spl kappa/guidance dynamical equations, which are nonlinear and vary with respect to the independent parameter, range, are linearized via a nonlinear coordinate transformation and nonlinear feedback.
Abstract: The /spl kappa/-guidance dynamical equations, which are nonlinear and vary with respect to the independent parameter, range, are linearized and then the LQR method is used to solve the optimal control problem. The linearization is via a nonlinear coordinate transformation and nonlinear feedback. The cost function is approximated by a quadratic cost.

16 citations

Journal ArticleDOI
TL;DR: A new approach to Procrustes analysis is developed, which uses the interpoint dissimilarities for each condition to create one omnibus dissimilarity matrix, which is embedded into Euclidean space.
Abstract: Given objects measured under multiple conditions—for example, indoor lighting versus outdoor lighting for face recognition, multiple language translation for document matching, etc.—the challenging task is to perform data fusion and utilize all the available information for inferential purposes. We consider two exploitation tasks: (i) how to determine whether a set of feature vectors represent a single object measured under different conditions; and (ii) how to create a classifier based on training data from one condition in order to classify objects measured under other conditions. The key to both problems is to transform data from multiple conditions into one commensurate space, where the (transformed) feature vectors are comparable and would be treated as if they were collected under the same condition. Toward this end, we studied Procrustes analysis and developed a new approach, which uses the interpoint dissimilarities for each condition. We impute the dissimilarities between measurements of different conditions to create one omnibus dissimilarity matrix, which is then embedded into Euclidean space. We illustrate our methodology on English and French documents collected from Wikipedia, demonstrating superior performance compared to that obtained via standard Procrustes transformation. © 2012 Wiley Periodicals, Inc. Statistical Analysis and Data Mining 5: 187–193, 2012 © 2012 Wiley Periodicals, Inc.

16 citations

Journal ArticleDOI
TL;DR: In this paper, a non-destructive methodology for determining delamination in chip-to-chip bonded MEMS is presented, which is used to determine the adhesive layer strength in samples subjected to environmental testing, and the reliability of the bonding layer is investigated.
Abstract: The bond layer is often the weakest link in the reliability of chip packages in the integrated circuit (IC) industry. Micro-electrical-mechanical systems (MEMS) packages are no exception to this trend. This paper presents a nondestructive methodology for determining delamination in chip-to-chip bonded MEMS. Experimental methods are used to determine the adhesive layer strength in samples subjected to environmental testing, and the reliability of the bonding layer is investigated. A simulation is performed using inputs from scanning acoustic microscopy, and simulation model results are correlated with the experimental die shear measurements to establish the validity of the nondestructive methodology for determining adhesive layer strength.

16 citations


Authors

Showing all 2860 results

NameH-indexPapersCitations
James A. Yorke10144544101
Edward Ott10166944649
Sokrates T. Pantelides9480637427
J. M. D. Coey8174836364
Celso Grebogi7648822450
David N. Seidman7459523715
Mingzhou Ding6925617098
C. L. Cocke513128185
Hairong Qi503279909
Kevin J. Hemker4923110236
William L. Ditto431937991
Carey E. Priebe434048499
Clifford George412355110
Judith L. Flippen-Anderson402056110
Mortimer J. Kamlet3910812071
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20233
20227
202172
202071
201982
201884