Development of Method and Tool for Optimizing the Earthwork with Ex-Situ Remediation of Polluted Soil

In this article a method is developed for optimizing the work share between dozers and excavators in the excavation work of polluted soil. Experiences are implemented in order to both validate hypothesis and set relations between measurable physical parameters (like the overlay between lines or the maximal line length) and excavation efficiency. In the final part of the article, the author shows how work share between machines can be optimized by using calculations on the appropriate parameters in a calculation sheet and parameterizing a solver tool

New implementation of stability-based transition model by means of transport equations

International audienceA new natural laminar-turbulent transition model compatible with Computation Fluid Dynamics is presented. This model accounts for longitudinal transition mechanisms (i.e. Tollmien-Schlichting induced transition) thanks to systematic stability computation on similar boundary profiles from Mach zero to four both on adiabatic and isothermal wall. The model embeds as well the so-called “C1-criterion” for transverse transition mechanisms (i.e. cross-flow wavesinduced transition). The transition model is written under transport equations formalism and has been implemented in the solver elsA (ONERA-Airbus-Safran property). Comparisons are performed on two-dimensional and three-dimensional configurations against transition database approach

PoseScript: Linking 3D Human Poses and Natural Language

Natural language plays a critical role in many computer vision applications, such as image captioning, visual question answering, and cross-modal retrieval, to provide fine-grained semantic information. Unfortunately, while human pose is key to human understanding, current 3D human pose datasets lack detailed language descriptions. To address this issue, we have introduced the PoseScript dataset. This dataset pairs more than six thousand 3D human poses from AMASS with rich human-annotated descriptions of the body parts and their spatial relationships. Additionally, to increase the size of the dataset to a scale that is compatible with data-hungry learning algorithms, we have proposed an elaborate captioning process that generates automatic synthetic descriptions in natural language from given 3D keypoints. This process extracts low-level pose information, known as "posecodes", using a set of simple but generic rules on the 3D keypoints. These posecodes are then combined into higher level textual descriptions using syntactic rules. With automatic annotations, the amount of available data significantly scales up (100k), making it possible to effectively pretrain deep models for finetuning on human captions. To showcase the potential of annotated poses, we present three multi-modal learning tasks that utilize the PoseScript dataset. Firstly, we develop a pipeline that maps 3D poses and textual descriptions into a joint embedding space, allowing for cross-modal retrieval of relevant poses from large-scale datasets. Secondly, we establish a baseline for a text-conditioned model generating 3D poses. Thirdly, we present a learned process for generating pose descriptions. These applications demonstrate the versatility and usefulness of annotated poses in various tasks and pave the way for future research in the field.Comment: Extended version of the ECCV 2022 pape

Cross-view and Cross-pose Completion for 3D Human Understanding

Human perception and understanding is a major domain of computer vision which, like many other vision subdomains recently, stands to gain from the use of large models pre-trained on large datasets. We hypothesize that the most common pre-training strategy of relying on general purpose, object-centric image datasets such as ImageNet, is limited by an important domain shift. On the other hand, collecting domain specific ground truth such as 2D or 3D labels does not scale well. Therefore, we propose a pre-training approach based on self-supervised learning that works on human-centric data using only images. Our method uses pairs of images of humans: the first is partially masked and the model is trained to reconstruct the masked parts given the visible ones and a second image. It relies on both stereoscopic (cross-view) pairs, and temporal (cross-pose) pairs taken from videos, in order to learn priors about 3D as well as human motion. We pre-train a model for body-centric tasks and one for hand-centric tasks. With a generic transformer architecture, these models outperform existing self-supervised pre-training methods on a wide set of human-centric downstream tasks, and obtain state-of-the-art performance for instance when fine-tuning for model-based and model-free human mesh recovery

Design, Implementation and Deployment of Grid-based Information Service and portlets

Abstract: The core of this paper was developed by the Key Laboratory of Spatial Data Mining & Information Sharing (LSDMIS) of Fuzhou University (CN) and it is further developed and presented by its partner university -the University of West Hungary, Faculty of Geoinformatics (HU) -in the framework of the Science and Technology bi-lateral programme. The paper deals with the use of Grid computing services to support nature conservation and biodiversity management. The study area is located in the Wuyi Mountain, a natural reserve with the largest and most representative semitropical original forest ecosystem in China and where biodiversity preservation is a priority. At present, the research on biodiversity of Wuyi Mountain mainly focused on fieldwork and produced abundant observation data. By doing mapping and dynamic remote-sensing monitoring on biodiversity of Wuyi Mountain, and then publishing relevant information with the use of geographical information service and virtual simulation model through grid computing technology, it could provide decision support for biodiversity protection and rare species preservation. Another point is to reveal the status and characteristic of biodiversity of Wuyi Mountain, to effectively protect and reasonably utilize local biodiversity, and to promote regional sustainable development. How to share and distribute information and knowledge about biodiversity between the professionals working in this area is a key point for the protection of rare plants and animals. This paper describes how the gridbased information sharing technology can be used and introduces the GeoKSGrid platform developed by the University of Fuzhou. The geographical knowledge grid platform (GeoKSGrid) is build upon the mainstream grid middleware Globus toolkit 4. The paper explains how grid-based information services and portlets were designed and implemented. By using grid services to publish spatial data in GML and virtual models of plants in VRML format, registering and deploying services into the GeoKSGrid platform, the outcomes of research on biodiversity protection could be more easily accessed by other researchers

Review of Remote Sensing Technologies for the Acquisition of Very High Vertical Accuracy Elevation Data (DEM) in the Framework of the Precise Remediation of Industrial Disasters – Part 2

Based on the information gathered within the technologies review performed in the previous article, the authors analyse if the deferent technologies could efficiently (or not) support the excavation work to be performed for the remediation of industrial disasters. At first sight, some technologies reach the requested accuracy. But after considering the error propagation when the technologies are applied in the condition of the fieldwork, it turned out that none of the remote sensing techniques we have reviewed finally offers sufficient accuracy to reach the 2.5 cm relative vertical accuracy target that was set. The final conclusion is a direct realtime measurement in the field, and the development of an appropriate apparatus for the real-time control of the blade may be the appropriate solution to reach the targeted accuracy in the field. This approach should be examined and developed in a next research work

Stability-Based Transition Model Using Transport Equations

A laminar–turbulent transition model is presented. The model accounts for longitudinal transition mechanisms (i.e., Tollmien–Schlichting-induced transition) and was calibrated using stability computations on similar boundary-layer profiles at Mach number ranging from zero to four on both adiabatic and isothermal walls. The model embeds the so-called C1 criterion for transverse transition mechanisms (i.e., crossflow-wave-induced transition). Finally, the model accounts for separation-induced transition by means of the Gleyzes criterion. The transition model is written under a transport equation formalism. Validations are performed on three-dimensional configurations, and comparisons against results from a transition database method for natural transition, exact linear stability computations, and experimental data are shown

Circularly polarized-thermally activated delayed fluorescent materials based on chiral bicarbazole donors

G. P. thanks the SCBM, the “PTC du CEA” (POLEM) and the ANR (iChiralight, ANR-19-CE07-0040) for funding and David Buisson, Amélie Goudet and Sabrina Lebrequier. J. C. and L. Fa. acknowledge the Ministère de l’Education Nationale, de la Recherche et de la Technologie, the CNRS and the Spectroscopies-CDTP core facility is also acknowledged. The St. Andrews team thanks the China Scholarship Council, 201906250199 to W. S. and 202006250026 to J. W., E. Z.-C. is a Royal Society Leverhulme Trust Senior Research fellow (SRF\R1\201089). We thank the EPSRC (EP/R035164/1) for funding.We describe herein a molecular design to generate circularly polarized thermally activated delayed fluorescence emitters in which chiral bicarbazole donors are connected to acceptor units via a rigid 8-membered cycle and how the nature of the donor and acceptor units affect the photophysical and chiroptical properties.Publisher PDFPeer reviewe

Amplification of Dissymmetry Factors in π-Extended [7]- and [9]Helicenes

π-Extended helicenes constitute an important class of polycyclic aromatic hydrocarbons with intrinsic chirality. Herein, we report the syntheses of π-extended [7]helicene 4 and π-extended [9]helicene 6 through regioselective cyclodehydrogenation in high yields, where a "prefusion" strategy plays a key role in preventing undesirable aryl rearrangements. The unique helical structures are unambiguously confirmed by X-ray crystal structure analysis. Compared to the parent pristine [7]helicene and [9]helicene, these novel π-extended helicenes display significantly improved photophysical properties, with a quantum yield of 0.41 for 6. After optical resolution by chiral high-performance liquid chromatography, the chiroptical properties of enantiomers 4-P/M and 6-P/M are investigated, revealing that the small variation in helical length from [7] to [9] can cause an approximately 10-fold increase in the dissymmetry factors. The circularly polarized luminescence brightness of 6 reaches 12.6 M⁻¹ cm⁻¹ as one of the highest among carbohelicenes