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Institution

Alcatel-Lucent

Stuttgart, Germany
About: Alcatel-Lucent is a based out in Stuttgart, Germany. It is known for research contribution in the topics: Signal & Network packet. The organization has 37003 authors who have published 53332 publications receiving 1430547 citations. The organization is also known as: Alcatel-Lucent S.A. & Alcatel.


Papers
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Journal ArticleDOI
01 Jun 2002
TL;DR: AWAII as discussed by the authors uses specialized path setup schemes which install host-based forwarding entries in specific routers to support intra-domain micromobility, which reduces mobility related disruption to user applications.
Abstract: Mobile IP is the current standard for supporting macromobility of mobile hosts. However, in the case of micromobility support, there are several competing proposals. We present the design, implementation and performance evaluation of HAWAII (handoff-aware wireless access Internet infrastructure), a domain-based approach for supporting mobility. HAWAII uses specialized path setup schemes which install host-based forwarding entries in specific routers to support intra-domain micromobility. These path setup schemes deliver excellent performance by reducing mobility related disruption to user applications. Also, mobile hosts retain their network address while moving within the domain, simplifying quality-of-service (QoS) support. Furthermore, reliability is achieved through maintaining soft-state forwarding entries for the mobile hosts and leveraging fault detection mechanisms built in existing intra-domain routing protocols. HAWAII defaults to using Mobile IP for macromobility, thus providing a comprehensive solution for mobility support in wide-area wireless networks.

650 citations

Journal ArticleDOI
TL;DR: In this paper, an approach for computing all of these various response tensors in a unified and systematic fashion is presented for two materials, hexagonal ZnO and rhombohedral, at zero temperature.
Abstract: The methods of density-functional perturbation theory may be used to calculate various physical response properties of insulating crystals including elastic, dielectric, Born charge, and piezoelectric tensors. These and other important tensors may be defined as second derivatives of an appropriately defined energy functional with respect to atomic-displacement, electric-field, or strain perturbations, or as mixed derivatives with respect to two of these perturbations. The resulting tensor quantities tend to be coupled in complex ways in polar crystals, giving rise to a variety of variant definitions. For example, it is generally necessary to distinguish between elastic tensors defined under different electrostatic boundary conditions, and between dielectric tensors defined under different elastic boundary conditions. Here, we describe an approach for computing all of these various response tensors in a unified and systematic fashion. Applications are presented for two materials, hexagonal ZnO and rhombohedral $\mathrm{Ba}\mathrm{Ti}{\mathrm{O}}_{3}$, at zero temperature.

649 citations

Journal ArticleDOI
01 Jan 1985-Langmuir
TL;DR: Determination de la structure des couches monomoleculaires des acides alcanoiques, a 16-22 atomes de carbone, termines par des groupes methyle, vinyle ou propargyle, formees lors de ladsorption sur de l'oxyde d'Al, a partir d'une solution dans l'hexadecane as mentioned in this paper.
Abstract: Determination de la structure des couches monomoleculaires des acides alcanoiques, a 16-22 atomes de carbone, termines par des groupes methyle, vinyle ou propargyle, formees lors de l'adsorption sur de l'oxyde d'Al, a partir d'une solution dans l'hexadecane

649 citations

Journal ArticleDOI
28 Jun 2001-Nature
TL;DR: This work uses a key simplification to investigate the theoretical limits to the information capacity of an optical fibre arising from these nonlinearities and relates the nonlinear channel to a linear channel with multiplicative noise, for which it is able to obtain analytical results.
Abstract: The exponential growth in the rate at which information can be communicated through an optical fibre is a key element in the 'information revolution' However, as for all exponential growth laws, physical limits must be considered The nonlinear nature of the propagation of light in optical fibre has made these limits difficult to elucidate Here we use a key simplification to investigate the theoretical limits to the information capacity of an optical fibre arising from these nonlinearities The success of our approach lies in relating the nonlinear channel to a linear channel with multiplicative noise, for which we are able to obtain analytical results In fundamental distinction to linear channels with additive noise, the capacity of a nonlinear channel does not grow indefinitely with increasing signal power, but has a maximal value The ideas presented here may have broader implications for other nonlinear information channels, such as those involved in sensory transduction in neurobiology These have been often examined using additive noise linear channel models but, as we show here, nonlinearities can change the picture qualitatively

648 citations

Proceedings ArticleDOI
09 Oct 1994
TL;DR: This paper compares the performance of several classifier algorithms on a standard database of handwritten digits by considering not only raw accuracy, but also training time, recognition time, and memory requirements.
Abstract: This paper compares the performance of several classifier algorithms on a standard database of handwritten digits. We consider not only raw accuracy, but also training time, recognition time, and memory requirements. When available, we report measurements of the fraction of patterns that must be rejected so that the remaining patterns have misclassification rates less than a given threshold.

647 citations


Authors

Showing all 37011 results

NameH-indexPapersCitations
George M. Whitesides2401739269833
Yoshua Bengio2021033420313
John A. Rogers1771341127390
Zhenan Bao169865106571
Thomas S. Huang1461299101564
Federico Capasso134118976957
Robert S. Brown130124365822
Christos Faloutsos12778977746
Robert J. Cava125104271819
Ramamoorthy Ramesh12264967418
Yann LeCun121369171211
Kamil Ugurbil12053659053
Don Towsley11988356671
Steven P. DenBaars118136660343
Robert E. Tarjan11440067305
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
202212
202130
202050
201983
2018215