24 research outputs found

    Tracking the Temporal-Evolution of Supernova Bubbles in Numerical Simulations

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    The study of low-dimensional, noisy manifolds embedded in a higher dimensional space has been extremely useful in many applications, from the chemical analysis of multi-phase flows to simulations of galactic mergers. Building a probabilistic model of the manifolds has helped in describing their essential properties and how they vary in space. However, when the manifold is evolving through time, a joint spatio-temporal modelling is needed, in order to fully comprehend its nature. We propose a first-order Markovian process that propagates the spatial probabilistic model of a manifold at fixed time, to its adjacent temporal stages. The proposed methodology is demonstrated using a particle simulation of an interacting dwarf galaxy to describe the evolution of a cavity generated by a Supernov

    Intelligent Sensor Networks

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    In the last decade, wireless or wired sensor networks have attracted much attention. However, most designs target general sensor network issues including protocol stack (routing, MAC, etc.) and security issues. This book focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on their world-class research, the authors present the fundamentals of intelligent sensor networks. They cover sensing and sampling, distributed signal processing, and intelligent signal learning. In addition, they present cutting-edge research results from leading experts

    Using MapReduce Streaming for Distributed Life Simulation on the Cloud

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    Distributed software simulations are indispensable in the study of large-scale life models but often require the use of technically complex lower-level distributed computing frameworks, such as MPI. We propose to overcome the complexity challenge by applying the emerging MapReduce (MR) model to distributed life simulations and by running such simulations on the cloud. Technically, we design optimized MR streaming algorithms for discrete and continuous versions of Conway’s life according to a general MR streaming pattern. We chose life because it is simple enough as a testbed for MR’s applicability to a-life simulations and general enough to make our results applicable to various lattice-based a-life models. We implement and empirically evaluate our algorithms’ performance on Amazon’s Elastic MR cloud. Our experiments demonstrate that a single MR optimization technique called strip partitioning can reduce the execution time of continuous life simulations by 64%. To the best of our knowledge, we are the first to propose and evaluate MR streaming algorithms for lattice-based simulations. Our algorithms can serve as prototypes in the development of novel MR simulation algorithms for large-scale lattice-based a-life models.https://digitalcommons.chapman.edu/scs_books/1014/thumbnail.jp

    13th International Conference on Modeling, Optimization and Simulation - MOSIM 2020

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    ComitĂ© d’organisation: UniversitĂ© Internationale d’Agadir – Agadir (Maroc) Laboratoire Conception Fabrication Commande – Metz (France)Session RS-1 “Simulation et Optimisation” / “Simulation and Optimization” Session RS-2 “Planification des Besoins MatiĂšres PilotĂ©e par la Demande” / ”Demand-Driven Material Requirements Planning” Session RS-3 “IngĂ©nierie de SystĂšmes BasĂ©es sur les ModĂšles” / “Model-Based System Engineering” Session RS-4 “Recherche OpĂ©rationnelle en Gestion de Production” / "Operations Research in Production Management" Session RS-5 "Planification des MatiĂšres et des Ressources / Planification de la Production” / “Material and Resource Planning / Production Planning" Session RS-6 “Maintenance Industrielle” / “Industrial Maintenance” Session RS-7 "Etudes de Cas Industriels” / “Industrial Case Studies" Session RS-8 "DonnĂ©es de Masse / Analyse de DonnĂ©es” / “Big Data / Data Analytics" Session RS-9 "Gestion des SystĂšmes de Transport” / “Transportation System Management" Session RS-10 "Economie Circulaire / DĂ©veloppement Durable" / "Circular Economie / Sustainable Development" Session RS-11 "Conception et Gestion des ChaĂźnes Logistiques” / “Supply Chain Design and Management" Session SP-1 “Intelligence Artificielle & Analyse de DonnĂ©es pour la Production 4.0” / “Artificial Intelligence & Data Analytics in Manufacturing 4.0” Session SP-2 “Gestion des Risques en Logistique” / “Risk Management in Logistics” Session SP-3 “Gestion des Risques et Evaluation de Performance” / “Risk Management and Performance Assessment” Session SP-4 "Indicateurs ClĂ©s de Performance 4.0 et Dynamique de Prise de DĂ©cision” / ”4.0 Key Performance Indicators and Decision-Making Dynamics" Session SP-5 "Logistique Maritime” / “Marine Logistics" Session SP-6 “Territoire et Logistique : Un SystĂšme Complexe” / “Territory and Logistics: A Complex System” Session SP-7 "Nouvelles AvancĂ©es et Applications de la Logique Floue en Production Durable et en Logistique” / “Recent Advances and Fuzzy-Logic Applications in Sustainable Manufacturing and Logistics" Session SP-8 “Gestion des Soins de SantĂ©â€ / ”Health Care Management” Session SP-9 “IngĂ©nierie Organisationnelle et Gestion de la ContinuitĂ© de Service des SystĂšmes de SantĂ© dans l’Ere de la Transformation NumĂ©rique de la SociĂ©tĂ©â€ / “Organizational Engineering and Management of Business Continuity of Healthcare Systems in the Era of Numerical Society Transformation” Session SP-10 “Planification et Commande de la Production pour l’Industrie 4.0” / “Production Planning and Control for Industry 4.0” Session SP-11 “Optimisation des SystĂšmes de Production dans le Contexte 4.0 Utilisant l’AmĂ©lioration Continue” / “Production System Optimization in 4.0 Context Using Continuous Improvement” Session SP-12 “DĂ©fis pour la Conception des SystĂšmes de Production Cyber-Physiques” / “Challenges for the Design of Cyber Physical Production Systems” Session SP-13 “Production AvisĂ©e et DĂ©veloppement Durable” / “Smart Manufacturing and Sustainable Development” Session SP-14 “L’Humain dans l’Usine du Futur” / “Human in the Factory of the Future” Session SP-15 “Ordonnancement et PrĂ©vision de ChaĂźnes Logistiques RĂ©silientes” / “Scheduling and Forecasting for Resilient Supply Chains
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