As part of H2020 program, CleanSky II aims at pushing forward the whole EU aeronautical sector to a worldwide prominent place as well as addressing ambitious targets in reduction of pollution and fuel consumption. Within the “Sustainable and Green Engine” Integrated Technology Demonstrator, WP 3 Business Aviation / Short Range Regional TurboProp Demonstrator aims to bring to market a new generation of TurboProp. The present call JTI-CS2-2017-CFP06-ENG-01-21, associated with WP3.5.3 Engine nacelle Demonstrator and WP3.6.1 Thermal Management, ultimately aims at assessing the temperature inside the Engine Bay of an ARDIDEN3 TurboProp during soak-back. The projects deploys in 3 phases. First, perform high-accuracy, state-of-the-art LBM simulations, of the full engine. Second, develop a reduced-cost, Nodal-network model, for the channel region. Finally, combine LBM (accuracy) & Nodal methods (reduced-cost) to assess soak-back at acceptable cost in the TP Demonstrator. Challenges are numerous: Physical (Free Convection/ High Mach numbers); Modeling (LBM/ Nodal Network Coupling); Computational (Long-Transient/ Engine Geometry/ 3D Fluid & Solid). The highest levels of numerical expertise are required. The present proposal, SALAMANDER “Soakback Assessment using LAttice Boltzmann Method and Aerothermal Nodal-network for the Design of the Engine-bay Region”, offers cooperation between EXA, world-leader in LBM solutions, and ALTRAN, world-leader in Engineering Solutions, Fluid and Thermal Engineering Expertise Center. The Call combines EXA powerful LBM software, with an expertise on Soak Back, to ALTRAN expertise in Aerothermal and Nodal modeling. This strong partnership ensures this Call success. Eventually, the outcome model delivery will allow the Topic Leader to improve the design of the TurboProp demonstrator as well as future products. Finally, EU industrials and environment shall greatly benefit from this study, thanks to ALTRAN and EXA new Engineering offers.

The ChROMe project addresses the issues of populating large virtual environements. Populating an envrionment consists in incorparting crowds of inhabitants, cars, animals and other objects. The content is obviously dynamic: most of the entities are in motion. The content is complex: entities interact with each other and with the environment and the number of interactions to resolve follows a quadratic law. At last, an interactive environments represent a challenging context due to the necessity for any technique to compute, at interactive framerates, the evolution of the population and to render it on the screen. This project takes place in the practical and industrial context of interactive explorations of large virtual environments, in which credible animations of local populations are necessary in each location. The main objective of the ChROMe project is therefore to automatically populate large virtual environements with a credible variety of characters and an appropriate level of coherency in the locations at interactive framerates. The main output is to unlock the limitations of current simulation techniques generaly used in similar contexts. The ChROMe project faces these challenges by building the contributions on a new paradigm: « crowd mapping ». The key idea behind the concept is to locally pre-define the qualitative animation of a piece of crowd, which is restricted both in space and in time, and to compose a global population by adding these pieces of crowds together. The partners of this project will exploit this paradigm by tackling simulatenously the following challenges: (i) scalability (animate the population of a whole territory rather than a district), (ii) expressiveness (relevance and variability of the individual behaviours) and (iii) conveyance of these crowds through the automated generation of cinematographic sequences. As such, the project contributes to potentially important shifts in the field on scientific problems which are generaly considered as difficult.

The main objective of our project is the generation of innovative interfaces to display information according to temporal criteria. Although our goal is closed to applications such as timelines, unlike the latter, we plan to extract and use temporal informations from the texts in order to enrich the foreseen user interfaces. The manipulated objects, called « Event-based Chronologies », prepared from semi-automated position-finding of events and of datative temporal expressions in essentially “breaking news” type texts (written in French and in English), will be associated with visualisation (multimedia) widgets enabling to visualise events associated with a “mediatic event” in chronological order; wherein said event acts somehow as the “trigger” for information search so that said event is presented relative to a context forming the collection of events which may be associated therewith. AFP currently diffuses numerous Event-based Chronologies over a wide range of mediatic events via its information departments. They are currently handled manually, by copying breaking news or documentation transmitted previously and are purely textual (since provided for the press). There are hence unsuited to multimedia, Internet and mobile usage, which has now become the rule. The purpose of this project is to provide a solution to this situation by setting ourselves the global following objectives: 1. Assist semi-automatic construction of these Event-based Chronologies by using NLP (natural language processing) techniques ; 2. View and browse multimedia Event-based Chrononlogies by using visualisation technologies. Our working programme is hence organised quite simply in the light of both these objectives. More precisely, and this the original aspect of our approach from a conceptual angle as well as regards the applications contemplated, we combine items 1. and 2. while suggesting as follows: 1’. on the one hand taking into account the problematic of different levels of temporal referencing, associated with the different types of enunciative and modal managements which can be identified within the texts; 2’. and on the other hand to contemplate the development of tools enabling to anchor events along a “multilevel” temporal visualisation scale. In the first axis, the aim is to generate, in relation to a request (the name of an event, of a person, of a team associated with a competition, etc.), propositions of Event-based Chronologies which the user (the AFP journalist in that particular instance) may optionally modify before validation. This is hence an automatic processing step of the temporality of the texts, which should integrate not only the recognition, but also the analysis of a certain type of discursive organisation in the texts. The second axis concerns the visualisation of Event-based Chronologies, and the target this time is the end-user, i.e. the reader, the internaut or the owner of a multimedia telephone. Even if our project is ambitious, it remains that the work methodology that we suggest makes it “reachable“ in its objectives, in particular regarding the realisation of an effective processing chain. Indeed, we propose to anchor our working programme on the one hand in (i) the specification of a specific need and on the other hand in (ii) a close collaboration between the different partners for defining knowledge representation formats which are compatible with the knowledge extracted from texts as well as with the knowledge corpi to view.