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Institution

Orange S.A.

CompanyParis, France
About: Orange S.A. is a company organization based out in Paris, France. It is known for research contribution in the topics: Terminal (electronics) & Signal. The organization has 6735 authors who have published 9190 publications receiving 156440 citations. The organization is also known as: Orange SA & France Télécom.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors introduce issues that relate regulation and innovation in the telecommunications industry, and discuss the major issues pertaining to the relation between innovation and pricing on the one hand, and innovation and unbundling on the other.

90 citations

Proceedings ArticleDOI
06 Jul 2008
TL;DR: SStreaMWare is proposed, a service-oriented middleware for heterogeneous sensor data management that allows data representation of various types of sensors in a common generic way, and heterogeneity of sensor software is hidden by generic query services, which can be discovered and used dynamically.
Abstract: Smart sensors are already being used in various application domains such as medical, environmental, urban, domestic and industrial. These applications mostly need data from sensors of different types (temperature, pressure, location, camera, etc.) that may be managed by different software, e.g., proprietary software from manufacturers. Heterogeneous distributed sensor data should then be aggregated in order to obtain more accurate and complete information on real world events. This paper proposes SStreaMWare, a service-oriented middleware for heterogeneous sensor data management. SStreaMWare's simple data schema allows data representation of various types of sensors in a common generic way. Declarative queries can then be formulated according to this schema. Thanks to the service-oriented approach of SStreaMWare, heterogeneity of sensor software is hidden by generic query services, which can be discovered and used dynamically.

90 citations

Proceedings Article
10 Apr 2005
TL;DR: In this article, the authors consider a dynamic scenario where users come and go over time as governed by the arrival and completion of random data transfers, and evaluate the potential capacity gains from inter-cell coordination in terms of the maximum amount of traffic that can be supported for a given spatial traffic pattern.
Abstract: Over the past few years, the design and performance of channel-aware scheduling strategies have attracted huge interest. In the present paper we examine a different notion of scheduling, namely coordination of transmissions among base stations, which has received little attention so far. The inter-cell coordination comprises two key elements: (i) interference avoidance; and (ii) load balancing. The interference avoidance involves coordinating the activity phases of interfering base stations so as to increase transmission rates. The load balancing aims at diverting traffic from heavily-loaded cells to lightly-loaded cells. We consider a dynamic scenario where users come and go over time as governed by the arrival and completion of random data transfers, and evaluate the potential capacity gains from inter-cell coordination in terms of the maximum amount of traffic that can be supported for a given spatial traffic pattern. Numerical experiments demonstrate that inter-cell scheduling may provide significant capacity gains, the relative contribution from interference avoidance vs. load balancing depending on the configuration and the degree of load imbalance in the network.

90 citations

Proceedings ArticleDOI
17 May 2004
TL;DR: A new method, called the two-step noise reduction (TSNR) technique, is proposed, which solves the problem of single microphone speech enhancement in noisy environments while maintaining the benefits of the decision-directed approach.
Abstract: The paper addresses the problem of single microphone speech enhancement in noisy environments Common short-time noise reduction techniques proposed in the art are expressed as a spectral gain depending on the a priori SNR In the well-known decision-directed approach, the a priori SNR depends on the speech spectrum estimation in the previous frame As a consequence, the gain function matches the previous frame rather than the current one which degrades the noise reduction performance We propose a new method, called the two-step noise reduction (TSNR) technique, which solves this problem while maintaining the benefits of the decision-directed approach This method is analyzed and results in voice communication and speech recognition contexts are given

89 citations

Patent
10 Oct 1996
TL;DR: A matrix-type pressure sensor as discussed by the authors uses either piezoelectric resistors lying on an insulator layer stretched above a cavity or a variable capacitor or a microcontactor.
Abstract: An electronic fingerprint sensor works by the detection of pressure, the ridge lines of the finger exerting a greater pressure than the valleys. The sensor has a matrix of pressure microsensors and electronic control and signal-processing circuits. It is made in an entirely monolithic form, according to techniques for the making of electronic circuits (deposition of thin layers, photo-etching, doping and thermal processing), both for the pressure detection part and for the signal-processing and control part. The matrix-type pressure sensor uses either piezoelectric resistors lying on an insulator layer stretched above a cavity or a variable capacitor or a microcontactor.

89 citations


Authors

Showing all 6762 results

NameH-indexPapersCitations
Patrick O. Brown183755200985
Martin Vetterli10576157825
Samy Bengio9539056904
Aristide Lemaître7571222029
Ifor D. W. Samuel7460523151
Mischa Dohler6835519614
Isabelle Sagnes6775318178
Jean-Jacques Quisquater6533518234
David Pointcheval6429819538
Emmanuel Dupoux6326714315
David Gesbert6345624569
Yonghui Li6269715441
Sergei K. Turitsyn6172214063
Joseph Zyss6143417888
Jean-Michel Gérard5842114896
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20238
20225
20215
20205
201915
201814