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Institution

ParisTech

EducationParis, France
About: ParisTech is a education organization based out in Paris, France. It is known for research contribution in the topics: Finite element method & Residual stress. The organization has 1888 authors who have published 1965 publications receiving 55532 citations. The organization is also known as: Paris Institute of Technology & ParisTech Développement.


Papers
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Journal ArticleDOI
TL;DR: This paper forms a utility maximization problem for the joint multi-path routing and MAC scheduling and resolves it using the primal-dual method, and proposes an algorithm to solve the routing subproblem and the scheduling subproblem via the dual decomposition.

28 citations

Journal ArticleDOI
TL;DR: When sedimentation effects are taken into account, the fits improve especially at long aggregation times, and the experimental results are compared with the corresponding solutions of Smoluchowski's equation.
Abstract: In this work, the kinetics of coupled aggregation and sedimentation processes arising in magnetic fluids has been studied. Aggregation was induced applying a constant uniaxial magnetic field. The time evolution of the cluster-size distribution and the weight-average chain length was monitored using optical microscopy and digital image analysis. The experimental results are compared with the corresponding solutions of Smoluchowski's equation. For this purpose, a recently proposed aggregation kernel was employed. When sedimentation effects are taken into account, the fits improve especially at long aggregation times.

27 citations

Journal ArticleDOI
TL;DR: In this article, a decision tool based on the value chain modelling, by considering the product requirements, is proposed to help experts to make relevant decisions on product design and/or product manufacturing process planning.
Abstract: Manufacturing enterprises are facing a competitive challenge. This paper proposes the use of a value chain based approach to support the modelling and simulation of manufacturing enterprise processes. The aim is to help experts to make relevant decisions on product design and/or product manufacturing process planning. This decision tool is based on the value chain modelling, by considering the product requirements. In order to evaluate several performance indicators, a simulation of various potential value chains adapted to market demand was conducted through a Value Chains Simulator (VCS). A discrete event simulator is used to perform the simulation of these scenarios and to evaluate the value as a global performance criterion (balancing cost, quality, delivery time, services, etc.). An Analytical Hierarchy Process module supports the analysis process. The value chain model is based on activities and uses the concepts of resource consumption, while integrating the benefiting entities view point. A case study in the microelectronic field is carried out to corroborate the validity of the proposed VCS.

27 citations

Journal ArticleDOI
TL;DR: A strong relationship between S% in seeds and the abundance of napin as well as the napin:30 kDa-cruciferin ratio is observed, suggesting that S% may be used as a relevant index for the determination of protein quality in seeds in terms of S-containing amino acids.
Abstract: Although the impact of sulfur (S) availability on the seed yield and nutritional quality of seeds has been demonstrated, its impact coupled with nitrogen (N) availability remains poorly studied in oilseed rape. A deeper knowledge of S and N interactions on seed yield components and seed quality could improve S and N fertilization management in a sustainable manner. To address this question, our goals were to determine the effects of nine different S fertilization management strategies (i) in interaction with different levels of N fertilization and (ii) according to the timing of application (by delaying and fractionating the S inputs) on agronomic performances and components of seed yield. The impact of these various managements of S and N fertilizations was also investigated on the seed quality with a focus on the composition of SSPs (mainly represented by napins and cruciferins). Our results highlighted synergetic effects on S and N use efficiencies at optimum rates of S and N inputs and antagonistic effects at excessive rates of one of the two elements. The data indicated that adjustment of S and N fertilization may lead to high seed yield and seed protein quality in a sustainable manner, especially in the context of reductions in N inputs. Delaying S inputs improved the seed protein quality by significantly increasing the relative abundance of napin (a SSP rich in S-containing amino acids) and decreasing the level of a cruciferin at 30 kDa (a SSP with low content of S-amino acids). These observations suggest that fractionated or delayed S fertilizer inputs could provide additional insights into the development of N and S management strategies to maintain or improve seed yield and protein quality. Our results also demonstrated that the S% in seeds and the napin:30 kDa-cruciferin ratio are highly dependent on S/N fertilization in relation to S supply. In addition, we observed a strong relationship between S% in seeds and the abundance of napin as well as the napin:30 kDa-cruciferin ratio, suggesting that S% may be used as a relevant index for the determination of protein quality in seeds in terms of S-containing amino acids.

27 citations

Proceedings ArticleDOI
04 Jun 2008
TL;DR: A system that recursively estimates the true outlines of every tracked target using a set of segments called ldquoAppearancerDquo, which shows that accurate information on target outlines allow for a meticulous occlusions computation and an enhanced data association.
Abstract: Detecting and tracking pedestrians accurately is essential to design efficient and robust collision avoidance systems. But traditional approaches to pedestrian detection and tracking in dense urban environments suffer from tracking failures and wrong classifications. We propose in this paper a system that recursively estimates the true outlines of every tracked target using a set of segments called ldquoAppearancerdquo. Both the state and the true contours of each target are recursively estimated and can then be used for accurate classification. We show also that accurate information on target outlines allow for a meticulous occlusions computation and an enhanced data association. The performances of this new approach is assessed through a qualitative and quantitative comparison with a state of the art pedestrian detection algorithm.

27 citations


Authors

Showing all 1899 results

NameH-indexPapersCitations
Mathias Fink11690051759
George G. Malliaras9438228533
Mickael Tanter8558329452
Gerard Mourou8265334147
Catherine Lapierre7922718286
Carlo Adamo7544436092
Jean-François Joanny7229420700
Marie-Paule Lefranc7238121087
Paul B. Rainey7022217930
Vincent Lepetit7026826207
Bernard Asselain6940923648
Michael J. Baker6939420834
Jacques Prost6819819064
Jean-Philippe Vert6723517593
Jacques Mairesse6631020539
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20239
202212
202174
202093
2019127
2018145