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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 authors proposed a nanoscale structure of Ag 2 O and showed that it can be formed by a nonconducting layer of Ag O on the surface of the material, particularly detrimental in nano-scale structures of Ag.
Abstract: Noble metals, such as silver, gold, platinum, and palladium, are widely used in many applications due to their high electrical conductivities, high resistance to oxidation and their high malleability. Silver, for example, has the highest ambient electrical (6.3 × 10 7 S m −1 ) and thermal (420 W m −1 K −1 ) conductivities of all metals. Copper is more abundant than noble metals and more economical. It also has high electrical and thermal conductivities. Silver and copper are commonly used in components from consumer electronics to jewelry. However, their practical use and lifetime are limited, or governed by costly maintenance steps, because of their propensity to oxidize or corrode under atmospheric conditions. This is a critical downside in existing applications, as well as a limitation for advanced new applications that require these materials in nanoscale where limited instances of corrosion and/or migration can severely diminish device performance. Cu forms non conducting CuO or Cu 2 O when exposed to the environment. Ag tarnishes by reacting with sulfur [ 1 ] and creating a nonconducting layer of Ag 2 S on the surface of the material, particularly detrimental in nanoscale structures of Ag. [ 2,3 ]

34 citations

Journal ArticleDOI
TL;DR: In this article, the authors conducted an international round-robin measurement survey of two candidate materials (undoped Bi2Te3 and constantan) for the Seebeck coefficient and reported the results of these measurements and the statistical analysis performed.
Abstract: A Standard Reference Material (SRM™) for the Seebeck coefficient is critical for inter-laboratory data comparison and for instrument calibration. To develop this SRM™, we have conducted an international round-robin measurement survey of two candidate materials—undoped Bi2Te3 and constantan (55% Cu and 45% Ni alloy). Measurements were performed in two rounds by twelve laboratories involved in active thermoelectric research using a number of commercial and custom-built measurement systems and techniques. We report the results of these measurements and the statistical analysis performed. Based on this extensive study, we have selected Bi2Te3 as the prototype standard material.

34 citations

Journal ArticleDOI
TL;DR: A supervised hyperspectral classification procedure consisting of an initial distance-based segmentation method that uses best band analysis (BBA), followed by a level set enhancement that forces localized region homogeneity that outperformed the maximum likelihood (ML) method.
Abstract: We present a supervised hyperspectral classification procedure consisting of an initial distance-based segmentation method that uses best band analysis (BBA), followed by a level set enhancement that forces localized region homogeneity. The proposed method is tested on two hyperspectral images of an urban and rural nature. The proposed method is compared to the maximum likelihood (ML) method using BBA. Quantitative results are compared using segmentation and classification accuracies. Results show that both the initial classification using BBA features and the level set enhancement produced high-quality ground cover maps and outperformed the ML method, as well as previous studies by the authors. For example, with the compact airborne spectrographic imager image, the ML method resulted in accuracies les95.5%, whereas the level set segmentation approach resulted in accuracies as high as 99.7%.

34 citations

Proceedings ArticleDOI
01 Jul 1997
TL;DR: In this paper, a framework for controlling a phased array radar for tracking highly maneuvering targets in the presence of false alarms and electronic countermeasures (ECM) is presented for track formation and maintenance; adaptive selection of target revisit interval, waveform, and detection threshold; and neutralizing techniques for ECM, namely, against a standoff jammer and range gate pull off.
Abstract: In this paper we present a framework for controlling a phased array radar for tracking highly maneuvering targets in the presence of false alarms and electronic countermeasures (ECM). Algorithms are presented for track formation and maintenance; adaptive selection of target revisit interval, waveform, and detection threshold; and neutralizing techniques for ECM, namely, against a standoff jammer and range gate pull off. This tracker/radar-resource-allocator provides a complete solution to the benchmark problem for target tracking and radar control, which considers six trajectories of highly maneuvering targets, with lateral accelerations up to 7g and longitudinal accelerations up to 2g. Simulation results show an average sampling interval of about 2s while maintaining a track loss less than the maximum allowed 4%.

34 citations

Journal ArticleDOI
TL;DR: In this paper, the Defense Threat Reduction Agency Basic Sciences program under grant number HDTRA139181 and managed by Su Peiris has been used to investigate the impact of cyber-attacks.
Abstract: This work was funded by the Defense Threat Reduction Agency Basic Sciences program under grant number HDTRA139181 and managed by Su Peiris.

34 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