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Institution

Naval Postgraduate School

EducationMonterey, California, United States
About: Naval Postgraduate School is a education organization based out in Monterey, California, United States. It is known for research contribution in the topics: Tropical cyclone & Nonlinear system. The organization has 5246 authors who have published 11614 publications receiving 298300 citations. The organization is also known as: NPS & U.S. Naval Postgraduate School.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors focus on the development of estimation procedures for the life distribution F of a new system based on data on system lifetimes between consecutive repairs and show that data pairs (Ti, Zi ) render the parameter pair (p, F) identifiable, where Zi is a Bernoulli variable that records the mode of repair (perfect or imperfect) following the ith failure.
Abstract: This study of statistical inference for repairable systems focuses on the development of estimation procedures for the life distribution F of a new system based on data on system lifetimes between consecutive repairs The Brown—Proschan imperfect-repair model postulates that at failure the system is repaired to a condition as good as new with probability p, and is otherwise repaired to the condition just prior to failure In treating issues of statistical inference for this model, the article first points out the lack of identifiability of the pair (p, F) as an index of the distribution of interfailure times T 1, T 2, … It is then shown that data pairs (Ti, Zi ) (i = 1, 2, …) render the parameter pair (p, F) identifiable, where Zi is a Bernoulli variable that records the mode of repair (perfect or imperfect) following the ith failure Under the assumption that data of the form {(Ti, Zi )} are drawn via inverse sampling until the occurrence of the mth perfect repair, the problem of estimating the

92 citations

Journal ArticleDOI
TL;DR: In this article, the authors show that the trends over the China summer monsoon region have been distorted by western North Pacific typhoons, which bring rainfall with decreasing frequency and increasing intensity.
Abstract: [1] Proper interpretations of extreme rainfall trends in the Asian monsoon regions are complicated by tropical cyclones (TCs) from tropical oceans, whose rainfall trend may be different from the local monsoon (non-TC) rain. Here we show that the trends over the China summer monsoon region have been distorted by western North Pacific typhoons, which bring rainfall with decreasing frequency and increasing intensity. Typically the latter is not sufficient to overcome the former, so TC-related extreme rainfall trend is smaller than monsoon-related extreme rainfall. The net impact underestimates the increasing trend and overestimates the decreasing trend in monsoon extreme rainfall over most areas. The effect is minimal in the Meiyu rain belt region, but reaches 30% in northeastern and southern China. The largest distortions occur on offshore islands in the main TC paths that underwent significant decadal variations. In Hainan, the −3%/decade trend becomes +7%/decade if typhoon rainfall is removed. An opposite case occurs in Taiwan, where the extreme rainfall trend is hugely inflated by local increases in TC rainfall. These opposite effects emphasize the importance of considering the different mechanisms of rainfall systems in order to avoid mis-attribution of regional effects on extreme rainfall to thermodynamic consequences of global warming.

92 citations

Proceedings ArticleDOI
05 Jan 2000
TL;DR: A type system is given that provides the access control needed to prove that no well-typed program can leak secrets in polynomial time, or even leak them with nonnegligible probability if secrets are of sufficient length and randomly chosen.
Abstract: Systems that authenticate a user based on a shared secret (such as a password or PIN) normally allow anyone to query whether the secret is a given value. For example, an ATM machine allows one to ask whether a string is the secret PIN of a (lost or stolen) ATM card. Yet such queries are prohibited in any model whose programs satisfy an information-flow property like Noninterference. But there is complexity-based justification for allowing these queries. A type system is given that provides the access control needed to prove that no well-typed program can leak secrets in polynomial time, or even leak them with nonnegligible probability if secrets are of sufficient length and randomly chosen. However, there are well-typed deterministic programs in a synchronous concurrent model capable of leaking secrets in linear time.

92 citations

Journal ArticleDOI
TL;DR: In this article, a series of three-dimensional convection-permitting numerical experiments were conducted to investigate the sensitivity of tropical cyclone models to the surface drag coefficient. And they found that the sensitivity decreases with increasing surface drag coefficients until a certain threshold value is attained and then decreases.
Abstract: Motivated by recent developments in tropical-cyclone dynamics, this paper reexamines a basic aspect of tropical-cyclone behaviour, namely, the sensitivity of tropical-cyclone models to the surface drag coefficient. Previous theoretical and numerical studies of the sensitivity in axisymmetric models have found that the intensity decreases markedly with increasing drag coefficient. Here we present a series of three-dimensional convection-permitting numerical experiments in which the intensification rate and intensity of the vortex increase with increasing surface drag coefficient until a certain threshold value is attained and then decrease. In particular, tropical depression-strength vortices intensify to major hurricane intensity for values of CK/CD as small as 0.1, significantly smaller than the critical threshold value of about 0.75 for major hurricane development predicted by Emanuel using an axisymmetric balance model. Moreover, when the drag coefficient is set to zero, no system-scale intensification occurs, despite persistent sea-to-air fluxes of moisture that maintain deep convective activity. This result is opposite to that found in a prior axisymmetric study by Craig and Gray. The findings are interpreted using recent insights obtained on tropical-cyclone intensification, which highlight the intrinsically unbalanced dynamics of the tropicalcyclone boundary layer. The reasons for the differences from earlier axisymmetric studies and some potential ramifications of our findings are discussed. The relative insensitivity of the intensification rate and intensity found for drag coefficients typical of high wind speeds over the ocean calls into question the need for coupled ocean wave–atmospheric models to accurately forecast tropical-cyclone intensity. Copyright c � 2010 Royal Meteorological Society

92 citations

Journal ArticleDOI
TL;DR: A framework for assessing technology is derived and can be used to aid integration of research, to encourage more thorough assessment of technology, and to investigate the relations between the environment and technology.
Abstract: Technology is a multiphasic, multilevel input/output mechanism that is interdependent with its environment. Past research suggests that inconsistent assessments of technology may be attributed to examining different phases of the same transformation process. Past research has generally ignored input and output activities as well as critical energy exchanges between the technology and the environment. Technology can be assessed at several levels (individual job, subunit, and organization), which are interdependent, yet may reflect qualitatively different activities. A framework for assessing technology is derived from these multiple levels. This framework can be used to aid integration of research, to encourage more thorough assessment of technology, and to investigate the relations between the environment and technology.

92 citations


Authors

Showing all 5313 results

NameH-indexPapersCitations
Mingwei Chen10853651351
O. C. Zienkiewicz10745571204
Richard P. Bagozzi104347103667
Denise M. Rousseau8421850176
John Walsh8175625364
Ming C. Lin7637023466
Steven J. Ghan7520725650
Hui Zhang7520027206
Clare E. Collins7156021443
Christopher W. Fairall7129319756
Michael T. Montgomery6825814231
Tim Li6738316370
Thomas M. Antonsen6588817583
Nadia Magnenat-Thalmann6552114850
Johnny C. L. Chan6126114886
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202331
2022151
2021321
2020382
2019352
2018362