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Institution

Stevens Institute of Technology

EducationHoboken, New Jersey, United States
About: Stevens Institute of Technology is a education organization based out in Hoboken, New Jersey, United States. It is known for research contribution in the topics: Cognitive radio & Wireless network. The organization has 5440 authors who have published 12684 publications receiving 296875 citations. The organization is also known as: Stevens & Stevens Tech.


Papers
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Journal ArticleDOI
TL;DR: A novel distributed method for convex optimization problems with a certain separability structure based on the augmented Lagrangian framework is proposed and compares favorably to two augmentedlagrangian decomposition methods known in the literature.
Abstract: We propose a novel distributed method for convex optimization problems with a certain separability structure. The method is based on the augmented Lagrangian framework. We analyze its convergence and provide an application to two network models, as well as to a two-stage stochastic optimization problem. The proposed method compares favorably to two augmented Lagrangian decomposition methods known in the literature, as well as to decomposition methods based on the ordinary Lagrangian function.

132 citations

Journal ArticleDOI
TL;DR: An analytical solution for radiative transfer in the coupled atmosphere-ocean system with a rough air-water interface is presented and the model-observation discrepancies may indicate that the Cox-Munk surface roughness model is not sufficient for high wind conditions.
Abstract: Using the computationally efficient discrete-ordinate method, we present an analytical solution for radiative transfer in the coupled atmosphere-ocean system with a rough air-water interface. The theoretical formulations of the radiative transfer equation and solution are described. The effects of surface roughness on the radiation field in the atmosphere and ocean are studied and compared with satellite and surface measurements. The results show that ocean surface roughness has significant effects on the upwelling radiation in the atmosphere and the downwelling radiation in the ocean. As wind speed increases, the angular domain of sunglint broadens, the surface albedo decreases, and the transmission to the ocean increases. The downward radiance field in the upper ocean is highly anisotropic, but this anisotropy decreases rapidly as surface wind increases and as ocean depth increases. The effects of surface roughness on radiation also depend greatly on both wavelength and angle of incidence (i.e., solar elevation); these effects are significantly smaller throughout the spectrum at high Sun. The model-observation discrepancies may indicate that the Cox-Munk surface roughness model is not sufficient for high wind conditions.

132 citations

Journal ArticleDOI
TL;DR: In this article, the socio-cognitive theory of learning in groups and organizations is used to develop and empirically test a model of team learning process and its effects on team performance in new product development teams.

132 citations

Journal ArticleDOI
TL;DR: In this paper, the antibacterial efficacy of triclosan-incorporated polymer disks against 2 bacteria cultured in liquids in contact with the polymer was evaluated, and only some initial slowing of the bacterial growth rates was observed, followed by the absence of an antibacterial effect over extended periods.

132 citations

Journal ArticleDOI
TL;DR: The method developed in this work may be suitable for the preparation of a wide range of insensitive explosive compositions as it exhibited a markedly lower shock sensitivity than previously reported.

132 citations


Authors

Showing all 5536 results

NameH-indexPapersCitations
Paul M. Thompson1832271146736
Roger Jones138998114061
Georgios B. Giannakis137132173517
Li-Jun Wan11363952128
Joel L. Lebowitz10175439713
David Smith10099442271
Derong Liu7760819399
Robert R. Clancy7729318882
Karl H. Schoenbach7549419923
Robert M. Gray7537139221
Jin Yu7448032123
Sheng Chen7168827847
Hui Wu7134719666
Amir H. Gandomi6737522192
Haibo He6648222370
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202342
2022139
2021765
2020820
2019799
2018563