MINES ParisTech , also known as École des Mines de Paris, ENSMP, Mines Paris or simply les Mines), created in 1783 by King Louis XVI, is one of the most prominent French engineering schools and a prestigious member of ParisTech and PSL* .Mines ParisTech is reputed for the outstanding performance of its research centers, its very high selectivity and the quality of its international partnerships with prestigious universities, which include Massachusetts Institute of Technology , California Institute of Technology , Shanghai Jiao Tong University, University of Hong Kong, National University of Singapore , Novosibirsk State University, Pontifical Catholic University of Chile and Tokyo Tech.Despite its small size , it is a crucial part of the infrastructure of French industry. Wikipedia.
Agency: Cordis | Branch: FP7 | Program: CP | Phase: ICT-2011.9.2 | Award Amount: 1.38M | Year: 2014
Starting with some specific types of cancers, this project will try to generalize the methodology to discriminate between healthy and malignant tissues in real-time during surgical procedures. Using the hyperspectral signatures of the healthy tissues and the same tissues affected by cancer, a mathematical model of how cancer affects to the hyperspectral signature will be derived. The research will start with the challenging task of brain cancer detection. A precise resection of the gliomas will minimize the negative effect of removing brain cells while assuring an effective tumour resection. The second type of tumours to be analysed will be the lung and breast cancers as they represent the two most common cancers in the world. Based on the experience gained during the evolution of the project and guided by the oncologist expertise, many other types of cancer out from the more than 200 that affect human beings will be studied. As cancer supposes a change in the cellular physiology, it should be detected as a change in the hyper-spectral signature. This project will try to determine if there is a certain pattern that could be identified as a cancer hyperspectral signature. Although previous works demonstrates that hyperspectral imaging can be used for certain cancer detection in animals, no application to human beings in real-time surgery has been found. This project will develop an experimental intraoperative setup based on non-invasive hyperspectral cameras connected to a platform running a set of algorithms capable of discriminate between healthy or pathological tissues. This information will be provided, through different display devices to the surgeon, overlapping normal viewing images with simulated colours that will indicate the cancer probability of the tissue presently exposed during every instant of the surgical procedure. A high-efficiency hardware/software prototype will be developed with the aim of recognising cancer tissues on real time.
Agency: Cordis | Branch: FP7 | Program: CP | Phase: ICT-2011.8.2 | Award Amount: 7.33M | Year: 2013
Cultural expression is not limited to architecture, monuments or collections of artifacts. It also includes fragile intangible live expressions, which involve knowledge and skills. Such expressions include music, dance, singing, theatre, human skills and craftsmanship.These manifestations of human intelligence and creativeness constitute our Intangible Cultural Heritage (ICH). ICH is at the same time traditional, contemporary and living, because it does not only refer to inherited knowledge but also to the renewal of contemporary cultural expressions. It refers to the past, to the present, and, certainly to the future and is the mainspring of humanitys cultural diversity.\nThe main objective of i-Treasures is to develop an open and extendable platform to provide access to ICH resources, enable knowledge exchange between researchers and contribute to the transmission of rare know-how from Living Human Treasures to apprentices. To this end, the project aims to go beyond the mere digitization of cultural content. Its main contribution is the creation of new knowledge by proposing novel methodologies and new technological paradigms for the analysis and modelling of ICH. One of the main objectives of the proposal is the development of an appropriate methodology based on multisensory technology for the creation of information (intangible treasures) that has never been analyzed or studied before. High-level semantics will be extracted enabling researcher to identify possible implicit or hidden correlations between different ICH expressions or different interpretation styles of the same ICH and study the evolution of a specific ICH through its transmission from generation to generation or to other communities. Combining conventional learning procedures and advanced services, such as Singing Voice Synthesis and sensorimotor learning through an interactive 3D environment, i-Treasures is expected to break new ground in education and knowledge transfer of ICH.
Agency: Cordis | Branch: H2020 | Program: MSCA-RISE | Phase: MSCA-RISE-2016 | Award Amount: 1.12M | Year: 2017
Fracture of materials is problematic across many disciplines and scales, from large building collapses and costly preventative engineering fixes to the personal injuries caused by bone fracture. 8090% of all structural failures occur as a result of fatigue and thus fracture mechanisms. Extensive testing of materials for fracture parameters before use in specific applications can be costly, wasteful and prohibitive when creating large structures. Computer models can be used to assess the probability and impact of fracture for a specific application and material, thus serving as a prediction tool. However, the models used are not accurate and reliable across multiple scales and across varying applications. Fracture across Scales and Materials, Processes and Disciplines (FRAMED) aims to develop a predictive modeling framework for fracture which will be applicable across multiple scales and materials, and across multiple disciplines and processes; the target audience for applications are designers in the engineering field. FRAMED will utilise the Marie Skodowska-Curie Research and Innovation Staff Exchange (MSCA-RISE) scheme to create a multi-disciplinary consortium consisting of engineers, chemists, material scientists, physicists and applied mathematicians to create accurate and robust fracture models that can be used across a variety of scales, materials, processes and disciplines. We will enhance the research and development work to be undertaken, providing a solid foundation for long term international and inter-sectoral collaboration. High quality research and development work will be carried out via international and intersectoral secondments, facilitating the creation of professional networks and knowledge transfer.
Agency: Cordis | Branch: FP7 | Program: CP | Phase: GC-ICT-2011.6.8 | Award Amount: 2.78M | Year: 2012
Mobility2.0 will develop and test an in-vehicle commuting assistant for FEV mobility, resulting in more reliable and energy-efficient electro-mobility. In order to achieve a maximum impact, Mobility2.0 takes an integrated approach of addressing the main bottlenecks of urban FEV mobility: range anxiety related to the limited FEV range, scarcity of parking spaces with public recharging spots, and the congestion of urban roads. Our integrated approach means the application developed by Mobility2.0 will utilise co-operative systems to simultaneously consider these bottlenecks, so that such an optimisation can be achieved which still guarantees reliable transportation for each FEV owner. Mobility2.0 will focus on assisting the daily urban commute, which represents the bulk of urban mobility.Mobility2.0 outcomes will be the following: an FEV-specific multi-modal urban guidance application implemented for prolific smart-phone platforms; this application will include the integrated reservation of a suitable FEV recharging spot, while also prioritising FEVs with low battery levels for the reservation, and making optimal use of the available public transportation along the journey. the above application will include the capability to allow municipal/utility control over the temporal and spatial aspects of recharging; the corresponding tools will be dynamic electricity pricing and a map analysis framework end-to-end validation of the above results at two test sites the project will specify the scalable broadcasting of FEV recharging spot notification over 5.9 GHz networks the project will specify the technology which enables FEVs to act as 5.9 GHz road-side unitsBesides FEV manufacturing, FEVs may also be produced by the conversion of traditional vehicles into FEVs. Mobility2.0 shall ensure that its results are applicable to both FEV types.The Mobility2.0 proposal name is meant to express that the co-operative electromobility technology targeted by this project is a next level concept for personal mobility.
Agency: Cordis | Branch: FP7 | Program: CP | Phase: ICT-2013.6.5 | Award Amount: 4.59M | Year: 2013
AutoNet2030 shall develop and test a co-operative automated driving technology, based on a decentralised decision-making strategy which is enabled by mutual information sharing among nearby vehicles. The project is aiming for a 2020-2030 deployment time horizon, taking into account the expected preceding introduction of co-operative communication systems and sensor based lane-keeping/cruise-control technologies. By taking this approach, a strategy can be worked out for the gradual introduction of fully automated driving systems, which makes the best use of the widespread existence of co-operative systems in the near-term and makes the deployment of fully automated driving systems beneficial for all drivers already from its initial stages.\nThe main idea is to achieve intelligent decision-making in fully automated vehicles through local group formation, by using co-operative communications to exchange input data and maneuvering control commands. Such co-operation is meant not only among automated vehicles, but extends also to manually driven vehicles; automated vehicles will locally coordinate the maneuvering of all surrounding vehicles, making driving thereby more predictable and safer also for manually driven cooperative vehicles. This system shall be optimised to make safe, predictable, and efficient maneuvering decisions. The control algorithm shall be aware of the precise dynamics of surrounding vehicles, the wider view of lane interconnections/destinations, and the possible alternative maneuvers to select in case of unexpected events. Drivers will receive maneuvering instructions on their HMI; the ergonomy and non-distraction of this new user interface shall be validated. In summary, the automotive industry will have answers for the upcoming transportation challenges of ever-growing urban conglomerations and will have a deployment strategy of automated driving which benefits all drivers already during the transition period towards full transport automation.
Agency: Cordis | Branch: H2020 | Program: MSCA-ITN-EID | Phase: MSCA-ITN-2015-EID | Award Amount: 773.62K | Year: 2016
Societal uses for the drilling of deep wells are abundant and have enormous impact on global economies; examples include the exploration of minerals, geothermal energy, oil and gas. The future sustainable harvesting of these resources requires the exploitation of difficult-to-access, unconventional reserves and is threatened by concerns on the environmental safety and high cost of drilling operations. To overcome these threats, there are strong needs for advanced tools for virtual drilling scenario testing and drilling automation and for multidisciplinary employees with adequate technical and transferable skills. The HYDRA EID research and training program addresses both needs by founding an intersectoral doctoral school. The consortium represents top-level expertise in all scientific and engineering disciplines needed to take on the main challenges of HYDRA: multiphase flow dynamics, model reduction, control and mathematics. Moreover, the consortium houses expertise ranging from academic research & training (TU/e, MINES) and industrial R&D (Kelda) to industrial practice and training (MH Wirth, Well Academy), therewith offering a broad spectrum of training. The scientific objective of HYDRA is to develop a framework for multi-phase hydraulic modeling and model complexity reduction for drilling operations, delivered in software directly usable in industry. The resulting models uniquely combine high predictive capacity and low complexity enabling their usage in both virtual drilling scenario testing and drilling automation. The main training objective is to launch 3 doctoral students into future leading scientific positions with an intersectoral network to support them throughout their careers. The envisioned results form the necessary basis for revolutionary advances in the (environmental) safety and cost-effectiveness of resource exploration in Europe and beyond and will provide the human capital base for sustaining such efforts beyond this programs lifetime.
Agency: Cordis | Branch: H2020 | Program: MSCA-ITN-ETN | Phase: MSCA-ITN-2016 | Award Amount: 3.37M | Year: 2016
Limiting the climate change-induced temperature increase to less than 2C will require strong reductions in greenhouse gas emissions. Lightweight materials and fibre-reinforced composites in particular, are a key enabling technology to achieve this goal. Current composite applications are however strongly overdesigned due to a lack of reliable design tools and predictive models for their mechanical properties. Developing, using and applying these models requires interdisciplinary researchers with a strong background in both modelling and experiments, but such researchers are scarce. The 9 beneficiaries and 3 partner organisations in FiBreMoD aim to train 13 such researchers to become multi-talented and interdisciplinary researchers that will be highly coveted in the field of composites. They will be intensively trained by leading experts with world-class facilities and will be supported by a strong industry participation and an extensive international network. The training programme places a strong emphasis on entrepreneurship and innovation skills not only by dedicated workshops but also by the involvement of the researchers in potential commercialisation. This approach will be key to improving the EUs innovation capacity. Simultaneously, the researchers will advance state-of-the-art composite failure models to reach the required levels of accuracy and develop advanced and industry-friendly characterisation techniques for measuring the required input data. The goal will be to enable blind predictions, which means that parameter fitting or tuning of the models is no longer required. These new and unprecedented levels of understanding coupled with improved prediction accuracy will be exploited to (1) design novel microstructures for hybrid, hierarchical and discontinuous fibre composites and (2) increase the usefulness of models in practical composite applications. The developed models will be validated and used to design composite cylinders and automotive parts.
Coupez T.,MINES ParisTech
Journal of Computational Physics | Year: 2011
Metric tensors play a key role to control the generation of unstructured anisotropic meshes. In practice, the most well established error analysis enables to calculate a metric tensor on an element basis. In this paper, we propose to build a metric field directly at the nodes of the mesh for a direct use in the meshing tools. First, the unit mesh metric is defined and well justified on a node basis, by using the statistical concept of length distribution tensors. Then, the interpolation error analysis is performed on the projected approximate scalar field along the edges. The error estimate is established on each edge whatever the dimension is. It enables to calculate a stretching factor providing a new edge length distribution, its associated tensor and the corresponding metric. The optimal stretching factor field is obtained by solving an optimization problem under the constraint of a fixed number of edges in the mesh. Several examples of interpolation error are proposed as well as preliminary results of anisotropic adaptation for interface and free surface problem using a level set method. © 2010 Elsevier Inc.