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Littérature scientifique sur le sujet « Mean field optimal transport »

Auteur : Grafiati
Publié le 1 février 2025

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Articles de revues sur le sujet "Mean field optimal transport"

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Baudelet, Sebastian, Brieuc Frénais, Mathieu Laurière, Amal Machtalay, and Yuchen Zhu. "Deep learning for mean field optimal transport." ESAIM: Proceedings and Surveys 77 (2024): 145–75. http://dx.doi.org/10.1051/proc/202477145.

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Mean field control (MFC) problems have been introduced to study social optima in very large populations of strategic agents. The main idea is to consider an infinite population and to simplify the analysis by using a mean field approximation. These problems can also be viewed as optimal control problems for McKean-Vlasov dynamics. They have found applications in a wide range of fields, from economics and finance to social sciences and engineering. Usually, the goal for the agents is to minimize a total cost which consists in the integral of a running cost plus a terminal cost. In this work, we
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Cao, Haoyang, Xin Guo, and Mathieu Laurière. "Connecting GANs, Mean-Field Games, and Optimal Transport." SIAM Journal on Applied Mathematics 84, no. 4 (2024): 1255–87. http://dx.doi.org/10.1137/22m1499534.

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Liu, Jiakun, and Grégoire Loeper. "Optimal transport with discrete long-range mean-field interactions." Bulletin of Mathematical Sciences 10, no. 02 (2020): 2050011. http://dx.doi.org/10.1142/s1664360720500113.

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We study an optimal transport problem where, at some intermediate time, the mass is either accelerated by an external force field or self-interacting. We obtain the regularity of the velocity potential, intermediate density, and optimal transport map, under the conditions on the interaction potential that are related to the so-called Ma–Trudinger–Wang condition from optimal transport [X.-N. Ma, N. S. Trudinger and X.-J. Wang, Regularity of potential functions of the optimal transportation problems, Arch. Ration. Mech. Anal. 177 (2005) 151–183.].
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Di Persio, Luca, and Matteo Garbelli. "From Optimal Control to Mean Field Optimal Transport via Stochastic Neural Networks." Symmetry 15, no. 9 (2023): 1724. http://dx.doi.org/10.3390/sym15091724.

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In this paper, we derive a unified perspective for Optimal Transport (OT) and Mean Field Control (MFC) theories to analyse the learning process for Neural Network algorithms in a high-dimensional framework. We consider a Mean Field Neural Network in the context of MFC theory referring to the mean field formulation of OT theory that may allow the development of efficient algorithms in a high-dimensional framework while providing a powerful tool in the context of explainable Artificial Intelligence.
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Ruthotto, Lars, Stanley J. Osher, Wuchen Li, Levon Nurbekyan, and Samy Wu Fung. "A machine learning framework for solving high-dimensional mean field game and mean field control problems." Proceedings of the National Academy of Sciences 117, no. 17 (2020): 9183–93. http://dx.doi.org/10.1073/pnas.1922204117.

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Mean field games (MFG) and mean field control (MFC) are critical classes of multiagent models for the efficient analysis of massive populations of interacting agents. Their areas of application span topics in economics, finance, game theory, industrial engineering, crowd motion, and more. In this paper, we provide a flexible machine learning framework for the numerical solution of potential MFG and MFC models. State-of-the-art numerical methods for solving such problems utilize spatial discretization that leads to a curse of dimensionality. We approximately solve high-dimensional problems by c
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Sivilevičius, Henrikas, and Mindaugas Martišius. "FIELD INVESTIGATION AND ASSESSMENT ON THE WEAR OF ASPHALT PAVEMENT MILLING MACHINE PICKS." Transport 36, no. 6 (2022): 499–509. http://dx.doi.org/10.3846/transport.2021.16443.

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Deteriorated asphalt pavement material is recycled applying proved technologies based on scientific principles and practical experience. The asphalt pavement layer during rehabilitation process is loosened by a mobile transport machine fracturing into the required material grading and called Reclaimed Asphalt Pavement (RAP). RAP is extracted while cutting asphalt chip in required depth at optimal speed by mean of changeable picks installed in a toolholder of milling machine rotating drum. During interaction with the asphalt pavement to be demolished, the wear of picks appears, and the dimensio
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BARTON, ALISTAIR, and NASSIF GHOUSSOUB. "Dynamic and stochastic propagation of the Brenier optimal mass transport." European Journal of Applied Mathematics 30, no. 6 (2019): 1264–99. http://dx.doi.org/10.1017/s0956792519000032.

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Similar to how Hopf–Lax–Oleinik-type formula yield variational solutions for Hamilton–Jacobi equations on Euclidean space, optimal mass transportations can sometimes provide variational formulations for solutions of certain mean-field games. We investigate here the particular case of transports that maximize and minimize the following ‘ballistic’ cost functional on phase space TM, which propagates Brenier’s transport along a Lagrangian L, $$b_T(v, x):=\inf\left\{\langle v, \gamma (0)\rangle +\int_0^TL(t, \gamma (t), {\dot \gamma}(t))\, dt; \gamma \in C^1([0, T], M); \gamma(T)=x\right\}\!,$$ wh
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Igbida, Noureddine, and Van Thanh Nguyen. "Optimal partial transport problem with Lagrangian costs." ESAIM: Mathematical Modelling and Numerical Analysis 52, no. 5 (2018): 2109–32. http://dx.doi.org/10.1051/m2an/2018001.

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We introduce a dual dynamical formulation for the optimal partial transport problem with Lagrangian costs cL(x,y) := ξ∈Lip([0,1];ℝN)inf {∫01 L(ξ(t), ξ˙(t))dt : ξ(0) = x, ξ(1) = y} based on a constrained Hamilton–Jacobi equation. Optimality condition is given that takes the form of a system of PDEs in some way similar to constrained mean field games. The equivalent formulations are then used to give numerical approximations to the optimal partial transport problem via augmented Lagrangian methods. One of advantages is that the approach requires only values of L and does not need to evaluate cL(
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Miatselskaya, N. S., A. I. Bril, A. P. Chaikovsky, Yu Yu Yukhymchuk, G. P. Milinevski, and A. A. Simon. "OPTIMAL INTERPOLATION OF AERONET RADIOMETRIC NETWORK OBSERVATIONS FOR THE EVALUATION OF THE AEROSOL OPTICAL DEPTH DISTRIBUTION IN THE EASTERN EUROPEAN REGION." Journal of Applied Spectroscopy 89, no. 2 (2022): 246–53. http://dx.doi.org/10.47612/0514-7506-2022-89-2-246-253.

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The application of the optimal interpolation method for the assimilation of the observational data of aerosol optical thickness (AOT), which are sparse in space and time, in the chemical transport model is herein validated. Assuming the negligible error of AOT observations in the AERONET ground-based radiometric network, spatial and temporal correlation functions of the errors in the results of the AOT simulated by the GEOS-Chem chemical transport model are obtained. The optimal interpolation method is applied to the AERONET data using the GEOS-Chem results as a background field for the Easter
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Hassanzadeh, Pedram, Gregory P. Chini, and Charles R. Doering. "Wall to wall optimal transport." Journal of Fluid Mechanics 751 (June 24, 2014): 627–62. http://dx.doi.org/10.1017/jfm.2014.306.

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AbstractThe calculus of variations is employed to find steady divergence-free velocity fields that maximize transport of a tracer between two parallel walls held at fixed concentration for one of two constraints on flow strength: a fixed value of the kinetic energy (mean square velocity) or a fixed value of the enstrophy (mean square vorticity). The optimizing flows consist of an array of (convection) cells of a particular aspect ratio $\def \xmlpi #1{}\def \mathsfbi #1{\boldsymbol {\mathsf {#1}}}\let \le =\leqslant \let \leq =\leqslant \let \ge =\geqslant \let \geq =\geqslant \def \Pr {\mathi
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Thèses sur le sujet "Mean field optimal transport"

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Mészáros, Alpár Richárd. "Density constraints in optimal transport, PDEs and mean field games." Thesis, Paris 11, 2015. http://www.theses.fr/2015PA112155/document.

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Movité par des questions posées par F. Santambrogio, cette thèse est dédiée à l'étude de jeux à champ moyen et des modèles impliquant le transport optimal avec contraintes de densité. A fin d'étudier des modèles de MFG d'ordre deux dans l'esprit des travaux de F. Santambrogio, on introduit en tant que brique élementaire un modèle diffusif de mouvement de foule avec contraintes de densité (en généralisant dans une sense les travaux de Maury et al.). Le modèle est décrit par l'évolutions de la densité de la foule, qui peut être vu comme une courbe dans l'espace de Wasserstein. Du point de vu EDP
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Marzufero, Luciano. "Some optimal visiting problems: from a single player to a mean-field type model." Doctoral thesis, Università degli studi di Trento, 2022. http://hdl.handle.net/11572/350780.

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In an optimal visiting problem, we want to control a trajectory that has to pass as close as possible to a collection of target points or regions. We introduce a hybrid control-based approach for the classic problem where the trajectory can switch between a group of discrete states related to the targets of the problem. The model is subsequently adapted to a mean-field game framework, that is when a huge population of agents plays the optimal visiting problem with a controlled dynamics and with costs also depending on the distribution of the population. In particular, we investigate a single c
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Frénais, Brieuc. "Modèles stochastiques de branchement-sélection." Electronic Thesis or Diss., Strasbourg, 2024. http://www.theses.fr/2024STRAD033.

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L'objet central de cette thèse est un système de particules se déplaçant sur la droite réelle et soumises à des règles de branchement et de sélection, appelé N-processus de Markov branchant, qui généralise le N-mouvement brownien branchant étudié par Maillard en autorisant des trajectoires plus générales pour les particules. Nos principaux résultats établissent sous certaines hypothèses de régularité l'existence d'une limite hydrodynamique pour ce système de particule, qui est la fonction de répartition de la loi du processus sous-jacent conditionné à ne pas avoir franchi une certaine frontièr
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Bonnet, Benoît. "Optimal control in Wasserstein spaces." Electronic Thesis or Diss., Aix-Marseille, 2019. http://www.theses.fr/2019AIXM0442.

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Une vaste quantité d'outils mathématiques permettant la modélisation et l'analyse des problèmes multi-agents ont récemment été développés dans le cadre de la théorie du transport optimal. Dans cette thèse, nous étendons pour la première fois plusieurs de ces concepts à des problématiques issues de la théorie du contrôle. Nous démontrons plusieurs résultats sur ce sujet, notamment des conditions nécessaires d'optimalité de type Pontryagin dans les espaces de Wasserstein, des conditions assurant la régularité intrinsèque de solutions optimales, des conditions suffisantes pour l'émergence de diff
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Capuani, Rossana. "Mean Field Games with State Constraints." Thesis, Paris Sciences et Lettres (ComUE), 2018. http://www.theses.fr/2018PSLED006.

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L’objet de cette thèse est l’étude des jeux champs moyen déterministes avec contrainte sur l’état. La théorie des jeux à champ moyen (mean field games (MFG)), initiée par Lasry et Lions en 2006, étudie des problèmes d’optimisation pour grandes populations d'agents dans un milieu dynamique. L'analyse mathématique de tels problèmes s'est jusqu'à présent concentrée sur des situations dans lequel les agents évoluent dans tout l’espace. En pratique, cependant, les agents ont des contraintes sur l'état. Le but de la thèse est celle d'étudier l'impact de ces contraintes sur l'analyse des systèmes de
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Monson, Peter A. "Dynamic mean field theory for fluids in mesoporous materials." Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-184643.

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Monson, Peter A. "Dynamic mean field theory for fluids in mesoporous materials." Diffusion fundamentals 16 (2011) 13, S. 1-2, 2011. https://ul.qucosa.de/id/qucosa%3A13742.

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Häggbom, Marcus, and Shayan Nafar. "Mean-Variance Portfolio Selection Accounting for Financial Bubbles: A Mean-Field Type Approach." Thesis, KTH, Matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252299.

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The phenomenon of financial bubbles is known to have impacted various markets since the seventeenth century. Such bubbles are known to form when the market drastically overvalues the price of an asset, causing its market value to increase hyperbolically, only to suddenly collapse once the untenable perceived future prospects of the asset are realized. Hence, it remains crucial for investors to be able to sell off assets residing within a bubble before they burst and their value is significantly diminished. Thus, portfolio optimization methods capable of accounting for financial bubbles in stoc
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Basna, Rani. "Mean Field Games for Jump Non-Linear Markov Process." Doctoral thesis, Linnéuniversitetet, Institutionen för matematik (MA), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-55852.

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The mean-field game theory is the study of strategic decision making in very large populations of weakly interacting individuals. Mean-field games have been an active area of research in the last decade due to its increased significance in many scientific fields. The foundations of mean-field theory go back to the theory of statistical and quantum physics. One may describe mean-field games as a type of stochastic differential game for which the interaction between the players is of mean-field type, i.e the players are coupled via their empirical measure. It was proposed by Larsy and Lions and
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Chen, Rui. "Dynamic optimal control for distress large financial networks and Mean field systems with jumps Optimal connectivity for a large financial network Mean Field BSDEs and Global Dynamic Risk Measures." Thesis, Paris Sciences et Lettres (ComUE), 2019. https://portail.bu.dauphine.fr/fileviewer/index.php?doc=2019PSLED042.

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Cette thèse propose des modèles et des méthodes pour étudier le contrôle du risque dans de larges systèmes financiers. Nous proposons dans une première partie une approche structurelle : nous considérons un système financier représenté comme un réseau d’institutions connectées entre elles par des interactions stratégiques sources de financement mais également par des interactions qui les exposent à un risque de contagion de défaut. La nouveauté de notre approche réside dans le fait que ces deux types d’interaction interfèrent. Nous proposons des nouvelles notions d’équilibre pour ces systèmes
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Livres sur le sujet "Mean field optimal transport"

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Sun, Jingrui, and Jiongmin Yong. Stochastic Linear-Quadratic Optimal Control Theory: Differential Games and Mean-Field Problems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48306-7.

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Cardaliaguet, Pierre, François Delarue, Jean-Michel Lasry, and Pierre-Louis Lions. The Master Equation and the Convergence Problem in Mean Field Games. Princeton University Press, 2019. http://dx.doi.org/10.23943/princeton/9780691190716.001.0001.

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This book describes the latest advances in the theory of mean field games, which are optimal control problems with a continuum of players, each of them interacting with the whole statistical distribution of a population. While it originated in economics, this theory now has applications in areas as diverse as mathematical finance, crowd phenomena, epidemiology, and cybersecurity. Because mean field games concern the interactions of infinitely many players in an optimal control framework, one expects them to appear as the limit for Nash equilibria of differential games with finitely many player
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Mean Field Games: AMS Short Course, Mean Field Games, Agent Based Models to Nash Equilibria, January 13--14, 2020, Denver, Colorado. American Mathematical Society, 2021.

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Transport in Multilayered Nanostructures: The Dynamical Mean-Field Theory Approach. World Scientific Publishing Co Pte Ltd, 2006.

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Transport in Multilayered Nanostructures: The Dynamical Mean-field Theory Approach. Imperial College Press, 2006.

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Transport in Multilayered Nanostructures: The Dynamical Mean-field Theory Approach. World Scientific Publishing Co Pte Ltd, 2006.

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Yong, Jiongmin, and Jingrui Sun. Stochastic Linear-Quadratic Optimal Control Theory: Differential Games and Mean-Field Problems. Springer, 2020.

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Bezsudnov, Igor V., Joseph Malinsky, Alexander Morozovskiy, Vladimir A. Sevryukov, and Andrei A. Snarskii. Transport Processes in Macroscopically Disordered Media: From Mean Field Theory to Percolation. Springer London, Limited, 2016.

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Snarskii, Andrei A. Transport Processes in Macroscopically Disordered Media: From Mean Field Theory to Percolation. Springer, 2018.

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Tiwari, Sandip. Phase transitions and their devices. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198759874.003.0004.

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Phase transitions as a collective response of an ensemble, with appearance of unique stable properties spontaneously, is critical to a variety of devices: electronic, magnetic, optical, and their coupled forms. This chapter starts with a discussion of broken symmetry and its manifestation in the property changes in thermodynamic phase transition and the Landau mean-field articulation. It then follows it with an exploration of different phenomena and their use in devices. The first is ferroelectricity—spontaneous electric polarization—and its use in ferroelectric memories. Electron correlation
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Chapitres de livres sur le sujet "Mean field optimal transport"

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Liu, Jiakun, and Grégoire Loeper. "Optimal Transport with Discrete Mean Field Interaction." In 2017 MATRIX Annals. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04161-8_15.

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Sun, Jingrui, and Jiongmin Yong. "Mean-Field Linear-Quadratic Optimal Controls." In Stochastic Linear-Quadratic Optimal Control Theory: Differential Games and Mean-Field Problems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48306-7_3.

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Mailoud Sekkouri, Samy, and Sandro Wimberger. "Mean-Field Transport of a Bose-Einstein Condensate." In Emergent Complexity from Nonlinearity, in Physics, Engineering and the Life Sciences. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-47810-4_5.

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Liu, Huageng, and Donghua Shi. "An Euler-Poincaré Approach to Mean-Field Optimal Control." In Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021). Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9492-9_204.

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Carmona, René, and François Delarue. "Optimal Control of SDEs of McKean-Vlasov Type." In Probabilistic Theory of Mean Field Games with Applications I. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-58920-6_6.

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Øksendal, Bernt, and Agnès Sulem. "Optimal Control of Predictive Mean-Field Equations and Applications to Finance." In Stochastics of Environmental and Financial Economics. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23425-0_12.

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Sun, Jingrui, and Jiongmin Yong. "Some Elements of Linear-Quadratic Optimal Controls." In Stochastic Linear-Quadratic Optimal Control Theory: Differential Games and Mean-Field Problems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48306-7_1.

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Gomez, Arnold D., Maureen L. Stone, Philip V. Bayly, and Jerry L. Prince. "Quantifying Tensor Field Similarity with Global Distributions and Optimal Transport." In Medical Image Computing and Computer Assisted Intervention – MICCAI 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00934-2_48.

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Sun, Jingrui, and Jiongmin Yong. "Linear-Quadratic Two-Person Differential Games." In Stochastic Linear-Quadratic Optimal Control Theory: Differential Games and Mean-Field Problems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48306-7_2.

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Takabe, Hideaki. "Non-local Transport of Electrons in Plasmas." In Springer Series in Plasma Science and Technology. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-45473-8_6.

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AbstractSince plasma is high temperature and the charge particles are running with high temperature, for example, at 1 keV, about the velocity of 109 (electron) and 2 × 107 (ion) [cm/s]. Since Coulomb mean-free-path is proportional to (velocity)4, higher velocity component transfers its energy over a long distance without Coulomb collision. This is usually called as “non-local transport” and the traditional diffusion model in neutral gas cannot be applicable. In laser plasma, the locally heated electron thermal energy is transported into cold over-dense region non-locally. The best way to solve such problem is to solve Fokker-Planck equation, while it is time consuming and some theoretical models have been proposed and studied over the last four decades. The physics of such models are explained here and most recent model SNB is shown and compared to experiments. The difficulty of transport of charges particles such as electrons is how to include the effect of electrostatic field and magnetic field self-consistently.
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Actes de conférences sur le sujet "Mean field optimal transport"

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Ringh, Axel, Isabel Haasler, Yongxin Chen, and Johan Karlsson. "Efficient computations of multi-species mean field games via graph-structured optimal transport." In 2021 60th IEEE Conference on Decision and Control (CDC). IEEE, 2021. http://dx.doi.org/10.1109/cdc45484.2021.9682861.

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Mukamel, Shaul, and Jasper Knoester. "Nonlinear Optical Susceptibilities; Beyond the Local Field Approximation." In Nonlinear Optical Properties of Materials. Optica Publishing Group, 1988. http://dx.doi.org/10.1364/nlopm.1988.mb3.

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The Bloch-Maxwell equations are usually derived for isolated molecules interacting with an external electromagnetic field. This is justified in the limit of low molecular density, where intermolecular forces may be neglected. The problem which we address in this work is how to extend these equations in a systematic way to incorporate properly intermolecular forces. We thus develop a systematic microscopic basis for the calculation of nonlinear response functions and susceptibilities. Such a theory is essential for relating microscopic, single-molecule, polarizabilities to the macroscopic susce
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Watson, George H., Paul M. Saulnier, I. Inane Tarhan, and Martin P. Zinkin. "Photon transport measurements in dense random media." In OSA Annual Meeting. Optica Publishing Group, 1992. http://dx.doi.org/10.1364/oam.1992.tuff3.

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Recent results of photon transport measurements in highly multiple-scattering random media will be presented. Time-resolved transmission of picosecond laser pulses, coherent backscattering, and laser speckle statistics are several of the experimental probes being used to examine factors that influence photon transport and localization. The effects of spatial correlations among scatterers on the transport mean-free-path lengths obtained from time-resolved transmission and extinction compare favorably with corrections introduced into the Mie formalism via a static structure factor. Transport par
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Barz, Dominik P. J., and Peter Ehrhard. "Simulation of Flow and Mass Transport in a Meander Microchannel Subject to Electroosmotic Pumping." In ASME 2003 1st International Conference on Microchannels and Minichannels. ASMEDC, 2003. http://dx.doi.org/10.1115/icmm2003-1043.

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We have investigated the flow and mass transport within an electroosmotically-pumped incompressible liquid through a meander microchannel system. We employ two-dimensional, time-dependent Finite Element simulations in conjunction with a matched asymptotic treatment of the electrical double layers. The electroosmotic pumping is realized for two idealized and two realistic electrical fields, while a pressure-driven flow is used for comparison. We focus on the aspects of the electroosmotic transport. We find for most of the electroosmotically-driven cases rather complex flow fields, involving rec
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Toulouse, Michael M., Guislain Doljac, Van P. Carey, and Cullen Bash. "Exploration of a Potential-Flow-Based Compact Model of Air-Flow Transport in Data Centers." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-10806.

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This paper summarizes an exploration of a compact model of air flow and transport in data centers developed from potential flow theory. Boundaries for the airflow in the data center are often complex due to the numerous rows of servers and other equipment in the facility, and there are generally multiple air inlets and outlets, which produce a fairly complex three-dimensional flow field in the air space in the data center. The general problem of airflow and convective transport in a data center requires accurate treatment of a turbulent flow in a complex flow passage with some buoyancy effects
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de Jager, B., and J. B. W. Kok. "Modeling of Turbulent Combustion of Lean Premixed Prevaporized Propane Using the CFI Combustion Model." In ASME Turbo Expo 2006: Power for Land, Sea, and Air. ASMEDC, 2006. http://dx.doi.org/10.1115/gt2006-90565.

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In this paper combustion of propane under gas turbine conditions is investigated with a focus on the chemistry and chemical kinetics in turbulent flames. The work is aimed at efficient and accurate modeling of the chemistry of heavy hydrocarbons, ie. hydrocarbons with more than one carbon atom, as occurring in liquid fuels for gas turbine application. On the basis of one dimensional laminar flame simulations with detailed chemistry, weight factors are determined for optimal projection of species concentrations on one or several composed concentrations, using the Computational Singular Perturba
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Fornasier, Massimo, Benedetto Piccoli, Nastassia Pouradier Duteil, and Francesco Rossi. "Mean-field optimal control by leaders." In 2014 IEEE 53rd Annual Conference on Decision and Control (CDC). IEEE, 2014. http://dx.doi.org/10.1109/cdc.2014.7040482.

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Alias, Cyril, Mandar Jawale, Alexander Goudz, and Bernd Noche. "Applying Novel Future-Internet-Based Supply Chain Control Towers to the Transport and Logistics Domain." In ASME 2014 12th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/esda2014-20422.

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Competing supply chain networks all around the globe are under scrutiny due to ever-growing demand for service improvement and cost reduction. A major field of action in this respect is the realization of real-time monitoring means for supply chain processes including a constant comparison of the respective progress status with the planning guidelines and the best possible management of deviations and exceptions. Control towers have been named as the future tool of supply chain monitoring for quite a while. They are defined as decision-support systems merging different data streams from variou
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Huanle Zhang, Yu Fu, and Jian Liu. "Optimal transmission distance of mean progress and mean transport in device-to-device networks." In International Conference on Cyberspace Technology (CCT 2013). Institution of Engineering and Technology, 2013. http://dx.doi.org/10.1049/cp.2013.2147.

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Mobinipouya, Neda, and Omid Mobinipouya. "On the Heat Transfer Enhancement of Turbulent Gas Floes in Short Round Tubes Engaging a Light Gas Mixed With Selected Heavier Gases." In ASME 2011 9th International Conference on Nanochannels, Microchannels, and Minichannels. ASMEDC, 2011. http://dx.doi.org/10.1115/icnmm2011-58136.

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A unique way for maximizing turbulent free convection from heated vertical plates to cold gases is studied in this paper. The central idea is to examine the attributes that binary gas mixtures having helium as the principal gas and xenon, nitrogen, oxygen, carbon dioxide, methane, tetrafluoromethane and sulfur hexafluoride as secondary gases may bring forward. From fluid physics, it is known that the thermo-physical properties affecting free convection with binary gas mixtures are viscosity ηmix, thermal conductivity λmix, density ρmix, and heat capacity at constant pressure. The quartet ηmix,
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Rapports d'organisations sur le sujet "Mean field optimal transport"

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Russo, David, Daniel M. Tartakovsky, and Shlomo P. Neuman. Development of Predictive Tools for Contaminant Transport through Variably-Saturated Heterogeneous Composite Porous Formations. United States Department of Agriculture, 2012. http://dx.doi.org/10.32747/2012.7592658.bard.

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The vadose (unsaturated) zone forms a major hydrologic link between the ground surface and underlying aquifers. To understand properly its role in protecting groundwater from near surface sources of contamination, one must be able to analyze quantitatively water flow and contaminant transport in variably saturated subsurface environments that are highly heterogeneous, often consisting of multiple geologic units and/or high and/or low permeability inclusions. The specific objectives of this research were: (i) to develop efficient and accurate tools for probabilistic delineation of dominant geol
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Kong, Zhihao, and Na Lu. Field Implementation of Concrete Strength Sensor to Determine Optimal Traffic Opening Time. Purdue University, 2024. http://dx.doi.org/10.5703/1288284317724.

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In the fast-paced and time-sensitive fields of construction and concrete production, real-time monitoring of concrete strength is crucial. Traditional testing methods, such as hydraulic compression (ASTM C 39) and maturity methods (ASTM C 1074), are often laborious and challenging to implement on-site. Building on prior research (SPR 4210 and SPR 4513), we have advanced the electromechanical impedance (EMI) technique for in-situ concrete strength monitoring, crucial for determining safe traffic opening times. These projects have made significant strides in technology, including the development
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Russo, David, and William A. Jury. Characterization of Preferential Flow in Spatially Variable Unsaturated Field Soils. United States Department of Agriculture, 2001. http://dx.doi.org/10.32747/2001.7580681.bard.

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Preferential flow appears to be the rule rather than the exception in field soils and should be considered in the quantitative description of solute transport in the unsaturated zone of heterogeneous formations on the field scale. This study focused on both experimental monitoring and computer simulations to identify important features of preferential flow in the natural environment. The specific objectives of this research were: (1) To conduct dye tracing and multiple tracer experiments on undisturbed field plots to reveal information about the flow velocity, spatial prevalence, and time evol
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Snyder, Victor A., Dani Or, Amos Hadas, and S. Assouline. Characterization of Post-Tillage Soil Fragmentation and Rejoining Affecting Soil Pore Space Evolution and Transport Properties. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7580670.bard.

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Tillage modifies soil structure, altering conditions for plant growth and transport processes through the soil. However, the resulting loose structure is unstable and susceptible to collapse due to aggregate fragmentation during wetting and drying cycles, and coalescense of moist aggregates by internal capillary forces and external compactive stresses. Presently, limited understanding of these complex processes often leads to consideration of the soil plow layer as a static porous medium. With the purpose of filling some of this knowledge gap, the objectives of this Project were to: 1) Identif
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Wei, Fulu, Ce Wang, Xiangxi Tian, Shuo Li, and Jie Shan. Investigation of Durability and Performance of High Friction Surface Treatment. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317281.

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The Indiana Department of Transportation (INDOT) completed a total of 25 high friction surface treatment (HFST) projects across the state in 2018. This research study attempted to investigate the durability and performance of HFST in terms of its HFST-pavement system integrity and surface friction performance. Laboratory tests were conducted to determine the physical and mechanical properties of epoxy-bauxite mortar. Field inspections were carried out to identify site conditions and common early HFST distresses. Cyclic loading test and finite element method (FEM) analysis were performed to eva
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Haslam, Divna, Ben Mathews, Rosana Pacella, et al. The prevalence and impact of child maltreatment in Australia: Findings from the Australian Child Maltreatment Study: Brief Report. Queensland University of Technology, 2023. http://dx.doi.org/10.5204/rep.eprints.239397.

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The Australian Child Maltreatment Study (ACMS) is a landmark study for our nation. The ACMS research team has generated the first nationally representative data on the prevalence of each of the five types of child maltreatment in Australia, and their associated health impacts through life. We also identified information about the context of maltreatment experiences, including how old children are when it occurs, and who inflicts it. This knowledge about which children are most at risk of which types of abuse and neglect, at which ages, and by whom, is needed to develop evidencebased population
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