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Showing 1 to 11 of 11 for “"Real-world processes"”.

  1. Multivariable cycle-to-cycle of an injection molding process

    … feedback control. In the manufacturing sector, processes consist of many input parameters and critical outputs. Multivariate CtC seeks to extend the findings of SISO CtC to more accurately reflect real world processes. Multiple input-Multiple output CtC feedback control is applied to an …

    mit Repository record for Multivariable cycle-to-cycle of an injection molding process (opens in a new tab)

  2. On the Feasibility of MapReduce to Compute Phase Space Properties of Graphical Dynamical Systems: An Empirical Study

    … and analyze the dynamics of a wide spectrum of real world processes which can be modeled as networked systems. One of our goals is to compute the phase space of a system, and for this, even 30-vertex graphs present a computational challenge. This is because the number of state transitions needed …

    vt Repository record for On the Feasibility of MapReduce to Compute Phase Space Properties of Graphical Dynamical Systems: An Empirical Study (opens in a new tab)

  3. An Ensemble of Novel Techniques for Non-Linear, Non-Gaussian Data Assimilation

    … framework for combining measurement data from real-world processes with simulations that attempt to mimic the said process. DA is a challenging task due to (i) computationally expensive, but uncertain model simulations, (ii) spatiotemporal sparsity and uncertain of measurements, (iii) the …

    vt Repository record for An Ensemble of Novel Techniques for Non-Linear, Non-Gaussian Data Assimilation (opens in a new tab)

  4. Non-Linear diffusion processes and applications

    … the dynamics of continuously evolving processes. Using diffusion models it is possible to formulate compact descriptions for the dynamics of real-world processes in terms of stochastic differential equations. Despite the exibility of these models, they can often be extremely difficult …

    cape-town Repository record for Non-Linear diffusion processes and applications (opens in a new tab)

  5. Rollback-able Random Number Generators For The Synchronous Parallel Environment For Emulation And Discrete-event Simulation (spe

    … can be completely predicted in advance. The real world processes are more probabilistic than deterministic. Hence, such chances are represented in the system by using various statistical models, like random number generators. These random number generators can be used to represent a various …

    ucf

  6. Design Transfer as a Lever for Accelerated Medical Device Innovation: A Case-Based Mapping Approach

    … and Design Structure Matrices (DSM) to map real-world processes, identify breakpoints, and classify rework (both planned and unplanned) in four case studies from Stryker Corporation. Key patterns emerged across case types: insufficient early-stage validation, misaligned cross-functional …

    mit Repository record for Design Transfer as a Lever for Accelerated Medical Device Innovation: A Case-Based Mapping Approach (opens in a new tab)

  7. A Computational Framework for Learning from Complex Data: Formulations, Algorithms, and Applications

    <p>Many real-world processes are dynamically changing over time. As a consequence, the observed complex data generated by these processes also evolve smoothly. For example, in computational biology, the expression data matrices are evolving, since gene expression controls are deployed sequentially …

    odu Repository record for A Computational Framework for Learning from Complex Data: Formulations, Algorithms, and Applications (opens in a new tab)

  8. Augmented Neural Network Surrogate Models for Polynomial Chaos Expansions and Reduced Order Modeling

    Mathematical models describing real world processes are becoming increasingly complex to better match the dynamics of the true system. While this is a positive step towards more complete knowledge of our world, numerical evaluations of these models become increasingly computationally inefficient, …

    vt Repository record for Augmented Neural Network Surrogate Models for Polynomial Chaos Expansions and Reduced Order Modeling (opens in a new tab)

  9. Optimization and Machine Learning Applied to Inverse Problems in Partial Differential Equations

    <p>Many real-world processes such as fluid flow, heat and mass transport, wave motion and others involve quantities that vary in space and time and are governed by Partial Differential Equations (PDEs). If we know the governing equations, there are methods available to obtain their solution either …

    claremont Repository record for Optimization and Machine Learning Applied to Inverse Problems in Partial Differential Equations (opens in a new tab)

  10. Photoporomechanics: a new technique to explore grain-scale mechanisms for fluid-driven fractures in granular media

    … which is critical in many natural and industrial processes like infiltration of water into the vadose zone, water dropout in fuel cells, and geological carbon dioxide storage. While fluid–fluid displacement in rigid porous media has been studied in depth, the understanding of the interplay between …

    mit Repository record for Photoporomechanics: a new technique to explore grain-scale mechanisms for fluid-driven fractures in granular media (opens in a new tab)

  11. Managing Disturbances in Supply Chain Systems

    … after the occurrence of a disturbance on a real-time basis. In this thesis, the developed approach was divided into several steps. At first, a plan was developed without considering any disturbance. Then a mathematical model was formulated to obtain a revised plan after the occurrence of a …

    unsw Repository record for Managing Disturbances in Supply Chain Systems (opens in a new tab)