Relevant bibliographies by topics / Reduced Order Method

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Reduced Order Method'

Author: Grafiati
Published: 18 April 2022
Last updated: 30 July 2025

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Journal articles on the topic "Reduced Order Method"

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Boukouvala, Fani, Yijie Gao, Fernando Muzzio, and Marianthi G. Ierapetritou. "Reduced-order discrete element method modeling." Chemical Engineering Science 95 (May 2013): 12–26. http://dx.doi.org/10.1016/j.ces.2013.01.053.

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Abdulle, A., and Y. Bai. "Reduced-order modelling numerical homogenization." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 372, no. 2021 (2014): 20130388. http://dx.doi.org/10.1098/rsta.2013.0388.

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A general framework to combine numerical homogenization and reduced-order modelling techniques for partial differential equations (PDEs) with multiple scales is described. Numerical homogenization methods are usually efficient to approximate the effective solution of PDEs with multiple scales. However, classical numerical homogenization techniques require the numerical solution of a large number of so-called microproblems to approximate the effective data at selected grid points of the computational domain. Such computations become particularly expensive for high-dimensional, time-dependent or
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Bundith, P., P. Pimanprom, W. Janthornsirijan, C. Punkun, S. Sleesongsom, and S. Bureerat. "Reduced-order modelling of unsteady vortex lattice method." IOP Conference Series: Materials Science and Engineering 1173, no. 1 (2021): 012040. http://dx.doi.org/10.1088/1757-899x/1173/1/012040.

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El Majd, Badr Abou, and Laurent Cordier. "Regularization method for calibrated POD reduced-order models." MATEC Web of Conferences 16 (2014): 06001. http://dx.doi.org/10.1051/matecconf/20141606001.

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Song, Huailing, Lijian Jiang, and Qiuqi Li. "A reduced order method for Allen–Cahn equations." Journal of Computational and Applied Mathematics 292 (January 2016): 213–29. http://dx.doi.org/10.1016/j.cam.2015.07.009.

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Bang, Youngsuk, Congjian Wang, and Hany S. Abdel-Khalik. "State-Based Adjoint Method for Reduced Order Modeling." Transport Theory and Statistical Physics 41, no. 1-2 (2012): 101–32. http://dx.doi.org/10.1080/00411450.2012.672359.

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Daley, S., and H. Wang. "Fault Detection Using Reduced Order Models." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 207, no. 3 (1993): 153–64. http://dx.doi.org/10.1243/pime_proc_1993_207_334_02.

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Based on the reduction of dynamic system models, an algebraic redundancy method is proposed which consists of fault detection through the redundant variables and fault diagnosis using a diagnostic matrix. This diagnostic matrix approach, which is an extension of the influence matrix method, is capable of identifying different combinations of failure modes. It is shown that this method can produce a correct diagnosis for the failure of sensors and actuators and can also detect changes in the system parameters. A simulation of a three-shaft gas turbine is used to demonstrate the potential of the
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Guha, Paramita, and Mashuq un Nabi. "Reduced Order Modeling of a Microgripper Using SVD-Second-Order Krylov Method." International Journal for Computational Methods in Engineering Science and Mechanics 16, no. 2 (2015): 65–70. http://dx.doi.org/10.1080/15502287.2015.1009576.

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Parshukov, Andrej N. "Method of synthesis of a reduced-order modal regulator." Vestnik Tomskogo gosudarstvennogo universiteta. Upravlenie, vychislitel'naya tekhnika i informatika, no. 56 (September 1, 2021): 12–19. http://dx.doi.org/10.17223/19988605/56/2.

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El Majd, Badr Abou, and Laurent Cordier. "NEW REGULARIZATION METHOD FOR CALIBRATED POD REDUCED-ORDER MODELS." Mathematical Modelling and Analysis 21, no. 1 (2016): 47–62. http://dx.doi.org/10.3846/13926292.2016.1132486.

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Reduced-order models based on Proper orthogonal decomposition are known to suffer from a lack of accuracy due to the truncation effect introduced by keeping only the most energetic modes. In this paper, we propose a new regularized calibration method aiming at minimizing a weighted average of normalized error, and a term measuring the change of the coefficients from their value obtained by Galerkin projection. We also determine the optimal value of the regularization parameter by analogy of the L-curve method. This paper is a sequel of [8] in which we compared various methods of calibration an
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Dissertations / Theses on the topic "Reduced Order Method"

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Liu, Biheng. "Reduced order models for the analysis of offshore lattice structures." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022.

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The lattice is a common frame applied in offshore structures benefiting from their economic construction and easily accessible, for example, the jacket platform of the offshore wind turbine. In order to accelerate the design process of a model, this thesis proposed a method to reduce the order of the offshore lattice structure models. The full order model is constructed based on the FEM. Applying the MDOF mass discrete concept lumps the structure mass on each story center. Meanwhile, apply the DSM to determine the displacement and the forces implied on the mass center for accomplishing the uni
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Names, Benjamin Joseph. "An Efficient Reduced Order Modeling Method for Analyzing Composite Beams Under Aeroelastic Loading." Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/71676.

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Composite materials hold numerous advantages over conventional aircraft grade metals. These include high stiffness/strength-to-weight ratios and beneficial stiffness coupling typically used for aeroelastic tailoring. Due to the complexity of modeling composites, designers often select safe, simple geometry and layup schedules for their wing/blade cross-sections. An example of this might be a box-beam made up of 4 laminates, all of which are quasi-isotropic. This results in neglecting more complex designs that might yield a more effective solution, but require a greater analysis effort. The pr
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Glenn, Russell David. "A reduced order controller design method based on the Youla parameterization of all stabilizing controllers." Ohio : Ohio University, 1995. http://www.ohiolink.edu/etd/view.cgi?ohiou1174396903.

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Syrén, Ludvig. "A method for introducing flexibility in rigid multibodies from reduced order elastic models." Thesis, Umeå universitet, Institutionen för fysik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-160417.

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In multibody dynamics simulation of robots and vehicles it is common to model the systems as being composed of mainly rigid bodies with articulation joints. With the trend to more lightweight robots, however, the structural flexibility of the robots link’s needs to be considered for realistic dynamic simulations. The link’s geometries are complex and finite element models (FEM) are required to compute the deformations. However, FEM includes too many degrees of freedom for time-efficient dynamics simulation. A popular method is to generate reduced order models from the FE models, but with much
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Malik, Muhammad Haris. "Reduced order modeling for smart grids' simulation and optimization." Doctoral thesis, Universitat Politècnica de Catalunya, 2017. http://hdl.handle.net/10803/405730.

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This thesis presents the study of the model order reduction for power grids and transmission networks. The specific focus has been the transient dynamics. A mathematical viewpoint has been adopted for model reduction. Power networks are huge and complex network, simulation for power grid analysis and design require large non-linear models to be solved. In the context of developing "Smart Grids" with the distributed generation of power, real time analysis of complex systems such as these needs fast, reliable and accurate models. In the current study we propose model order reduction methods both
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Tan, Yong Kwang Alex. "Reduced basis method for 2nd order wave equation : application to one-dimensional seismic problem." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/39209.

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Thesis (S.M.)--Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2006.<br>MIT Institute Archives copy: pages 93 and 94 bound in reverse order.<br>Includes bibliographical references (p. 93-95).<br>In this thesis, we solve the 2nd order wave equation, which is hyperbolic and linear in nature, to determine the pressure distribution for a one-dimensional seismic problem with smooth initial pressure and rate of pressure change with time. With Dirichlet and Neumann boundary conditions, the pressure distribution is solved for a total of 500 time steps, which is
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Di, Donfrancesco Fabrizio. "Reduced Order Models for the Navier-Stokes equations for aeroelasticity." Thesis, Sorbonne université, 2019. http://www.theses.fr/2019SORUS603.

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Le coût d’une simulation numérique aéroélastique peut devenir trop onéreuse lorsque une analyse paramétrique à haut fidélité est requise. Dans ce contexte, des Modèles d'Ordre Réduit (MOR) ont été développés en vue de réduire le coût de calcul des simulations numériques en préservant un haut niveau de précision. Ce travail de thèse porte sur la construction d'un MOR pour les équations de Navier-Stokes en tenant compte d'un maillage déformable dans le cas d'une application aéroélastique. Une base modale pour l'écoulement est obtenue via la Décomposition Orthogonale aux valeurs propres et une pr
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Arkalgud, Ravi. "Vortex shedding analysis and control using reduced order modelling and viscous cell boundary element method." Thesis, University of Southampton, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.274099.

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Wahl, Jean-Baptiste. "The Reduced basis method applied to aerothermal simulations." Thesis, Strasbourg, 2018. http://www.theses.fr/2018STRAD024/document.

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Nous présentons dans cette thèse nos travaux sur la réduction d'ordre appliquée à des simulations d'aérothermie. Nous considérons le couplage entre les équations de Navier-Stokes et une équations d'énergie de type advection-diffusion. Les paramètres physiques considérés nous obligent à considéré l'introduction d'opérateurs de stabilisation de type SUPG ou GLS. Le but étant d'ajouter une diffusion numérique dans la direction du champs de convection, afin de supprimer les oscillations non-phyisques. Nous présentons également notre stratégie de résolution basée sur la méthode des bases réduite (R
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Kasnakoglu, Cosku. "Reduced order modeling, nonlinear analysis and control methods for flow control problems." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1195629380.

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Books on the topic "Reduced Order Method"

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1964-, Hartley T. T., and Lewis Research Center, eds. A method for generating reduced-order linear models of multidimensional supersonic inlets. National Aeronautics and Space Administration, Lewis Research Center, 1998.

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1964-, Hartley T. T., and United States. National Aeronautics and Space Administration., eds. A method for generating reduced order linear models of supersonic inlets: Under grant NAG3-1450. National Aeronautics and Space Administration, 1997.

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Quarteroni, Alfio, and Gianluigi Rozza, eds. Reduced Order Methods for Modeling and Computational Reduction. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02090-7.

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Noack, Bernd R. Reduced-Order Modelling for Flow Control. Springer Vienna, 2011.

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Artz, Timothy Steven. Modeling Lifetime Performance of Ceramic Matrix Composites with Reduced Order Homogenization Multiscale Methods. [publisher not identified], 2022.

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Chuvikov, Dmitriy. Models and algorithms for reconstruction and examination of emergency events of road accidents based on logical artificial intelligence. 2nd ed. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1220729.

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The purpose of the monograph is to create a methodology, combined expert and simulation models, as well as algorithms and software-modeling tools for reconstruction and examination of accident events for automating decision-making by an expert center employee.&#x0D; The methodology of combining and algorithms of joint work of an expert system based on logical artificial intelligence (mivar approach) and a simulation system for solving problems of reconstruction and examination of road accidents are developed; model reconstruction and examination of the accident in the formalism of the knowledg
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National Aeronautics and Space Administration (NASA) Staff. Method for Generating Reduced Order Linear Models of Supersonic Inlets. Independently Published, 2020.

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Wheare, Degory. The Method and Order of Reading Both Civil and Ecclesiastical Histories, in Which the Most Excellent Historians are Reduced Into the Order in Which They are Successively to be Read. Gale ECCO, Print Editions, 2018.

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Quarteroni, Alfio, and Gianluigi Rozza. Reduced Order Methods for Modeling and Computational Reduction. Springer London, Limited, 2014.

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Quarteroni, Alfio, and Gianluigi Rozza. Reduced Order Methods for Modeling and Computational Reduction. Springer International Publishing AG, 2016.

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Book chapters on the topic "Reduced Order Method"

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Noack, Bernd R., Michael Schlegel, Marek Morzynski, and Gilead Tadmor. "Galerkin Method for Nonlinear Dynamics." In Reduced-Order Modelling for Flow Control. Springer Vienna, 2011. http://dx.doi.org/10.1007/978-3-7091-0758-4_3.

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Rozza, Gianluigi, Francesco Ballarin, Leonardo Scandurra, and Federico Pichi. "A Short Introduction to Reduced Basis Method." In Real Time Reduced Order Computational Mechanics. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-49892-3_1.

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Rozza, Gianluigi, Francesco Ballarin, Leonardo Scandurra, and Federico Pichi. "Worked Out Problem 15: Stabilized Reduced Method for an Advection Dominated Problem." In Real Time Reduced Order Computational Mechanics. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-49892-3_16.

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Chen, Feng, Jan S. Hesthaven, and Xueyu Zhu. "On the Use of Reduced Basis Methods to Accelerate and Stabilize the Parareal Method." In Reduced Order Methods for Modeling and Computational Reduction. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02090-7_7.

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Hess, Martin W., and Gianluigi Rozza. "Chapter 10: Spectral Element Method-Based Model Order Reduction." In Advanced Reduced Order Methods and Applications in Computational Fluid Dynamics. Society for Industrial and Applied Mathematics, 2022. http://dx.doi.org/10.1137/1.9781611977257.ch10.

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Antil, Harbir, Matthias Heinkenschloss, and Danny C. Sorensen. "Application of the Discrete Empirical Interpolation Method to Reduced Order Modeling of Nonlinear and Parametric Systems." In Reduced Order Methods for Modeling and Computational Reduction. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02090-7_4.

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Pichi, Federico, Maria Strazzullo, Francesco Ballarin, and Gianluigi Rozza. "Chapter 2: Finite Element-Based Reduced Basis Method in Computational Fluid Dynamics." In Advanced Reduced Order Methods and Applications in Computational Fluid Dynamics. Society for Industrial and Applied Mathematics, 2022. http://dx.doi.org/10.1137/1.9781611977257.ch2.

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Strazzullo, Maria, Francesco Ballarin, and Gianluigi Rozza. "Chapter 4: Finite Element-Based Reduced Basis Method for Optimal Flow Control." In Advanced Reduced Order Methods and Applications in Computational Fluid Dynamics. Society for Industrial and Applied Mathematics, 2022. http://dx.doi.org/10.1137/1.9781611977257.ch4.

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Hoeijmakers, E. J. I., H. Bansal, T. M. van Opstal, and P. A. Bobbert. "Reduced Order Modelling for Wafer Heating with the Method of Freezing." In Scientific Computing in Electrical Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-84238-3_22.

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Goffart, Nicolas, Benoît Tartinville, and Sergio Pirozzoli. "From High-Fidelity High-Order to Reduced-Order Modeling for Unsteady Shock Wave/Boundary Layer Interactions." In Notes on Numerical Fluid Mechanics and Multidisciplinary Design. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-86605-0_2.

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Abstract To design the next-generation aircraft and engines, efficient numerical tools need to be developed. Shock wave/boundary layer interactions are indeed putting the current industrial methods to the test: high-order methods lack robustness while modeling assumptions in low-fidelity methods make them not accurate enough. This work presents the first steps toward improving turbulence modeling in harmonic methods for shock-induced separated flows in turbomachinery applications, using high-fidelity data. A high-order solver based on the flux reconstruction framework is employed for performin
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Conference papers on the topic "Reduced Order Method"

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Shao, Tianchen, Zekui Jia, Maokun Li, Fan Yang, and Shengheng Xu. "Robust Iterative Permittivity Inversion Method Based on Reduced Order Models." In 2024 IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI). IEEE, 2024. http://dx.doi.org/10.1109/ap-s/inc-usnc-ursi52054.2024.10686534.

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Kazda, Jakub, Libor Sova, Milada Krejčová, Filip Lekeš, and Jiří Dražan. "Thermal Analysis of DC-link using Reduced Order Modeling Method." In 2024 IEEE 21st International Power Electronics and Motion Control Conference (PEMC). IEEE, 2024. http://dx.doi.org/10.1109/pemc61721.2024.10726406.

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Suresh, Mekhana, and T. K. Sunil Kumar. "Design of reduced-order observer using AGTM/AGMP matching method." In 2023 Second IEEE International Conference on Measurement, Instrumentation, Control and Automation (ICMICA). IEEE, 2024. http://dx.doi.org/10.1109/icmica61068.2024.10732495.

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Wang, Wei, Zhihao Yu, and Weidong Yang. "Helicopter Rotor Aerodynamic Reduced-Order Model Based on POD-RBFNN Method." In 2024 6th International Conference on Data-driven Optimization of Complex Systems (DOCS). IEEE, 2024. http://dx.doi.org/10.1109/docs63458.2024.10704308.

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Coale, Joseph, and Dmitriy Anistratov. "Reduced-Order Models for Thermal Radiative Transfer Based on POD-Galerkin Method and Low-Order Quasidiffusion Equations." In Mathematics and Computation 2021. American Nuclear Society, 2021. https://doi.org/10.13182/xyz-33722.

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Craig, Jr., Roy, Eric Blades, and Wiede Curshall. "A reduced-order substructure system identification method." In Dynamics Specialists Conference. American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-1200.

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YIU, Y., and J. LANDESS. "A reduced order method for passive substructures." In 31st Structures, Structural Dynamics and Materials Conference. American Institute of Aeronautics and Astronautics, 1990. http://dx.doi.org/10.2514/6.1990-1083.

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Safiullah, Yogesh Kumar Gupta, and Bhagat Singh Prajapati. "Reduced Order Modeling Using Singular Perturbation Method." In 2018 International Conference on Power Energy, Environment and Intelligent Control (PEEIC). IEEE, 2018. http://dx.doi.org/10.1109/peeic.2018.8665657.

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Mutsaers, Mark, Siep Weiland, and Richard Engelaar. "Reduced-order observer design using a Lagrangian method." In 2009 Joint 48th IEEE Conference on Decision and Control (CDC) and 28th Chinese Control Conference (CCC). IEEE, 2009. http://dx.doi.org/10.1109/cdc.2009.5400927.

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Wang, Feilong, Zhiqin Wang, Shangbing Qiao, Yuhang Guo, and Xiang Zhang. "High-Order MIMO Terminal Testing with the Reduced-Order Wireless Cable Method." In 2022 IEEE 95th Vehicular Technology Conference (VTC2022-Spring). IEEE, 2022. http://dx.doi.org/10.1109/vtc2022-spring54318.2022.9860847.

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Reports on the topic "Reduced Order Method"

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Barnett, Joshua, Irina Tezaur, and Alejandro Mota. THE SCHWARZ ALTERNATING METHOD FOR THE SEAMLESS COUPLING OF NONLINEAR REDUCED ORDER MODELS AND FULL ORDER MODELS. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1890056.

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Fike, Jeffrey. Construction of reduced order models for the non-linear Navier-Stokes equations using the proper orthogonal fecomposition (POD)/Galerkin method. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1096504.

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Baader, Franz, Pavlos Marantidis, and Alexander Okhotin. Approximate Unification in the Description Logic FL₀. Technische Universität Dresden, 2016. http://dx.doi.org/10.25368/2022.228.

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Unification in description logics (DLs) has been introduced as a novel inference service that can be used to detect redundancies in ontologies, by finding different concepts that may potentially stand for the same intuitive notion. It was first investigated in detail for the DL FL₀, where unification can be reduced to solving certain language equations. In order to increase the recall of this method for finding redundancies, we introduce and investigate the notion of approximate unification, which basically finds pairs of concepts that “almost” unify. The meaning of “almost” is formalized usin
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Ruprah, Inder J. An Impact Evaluation of a Neighbourhood Crime Prevention Program: Does Safer Commune Make Chileans Safer? Inter-American Development Bank, 2008. http://dx.doi.org/10.18235/0011172.

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This working paper discusses "Safer Commune" - a neighbourhood crime prevention program in Chile that has come under criticism via evidence of rising crime rates and fear of crime in municipalities with the program. The author argues that this criticism is incorrect and shows empirical evidence that the crime rates that would have been observed without the program. This impact evaluation -using the double difference propensity score method- reveals that the program has reduced high crimes particularly of two types of crimes namely battery and theft. The author shows that active participation i
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Krivoi, Kallmeyer, and Baranyak. L52199 Nopig Metal-Loss Detection System for Non-Piggable-Pipelines. Pipeline Research Council International, Inc. (PRCI), 2005. http://dx.doi.org/10.55274/r0011343.

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This project investigated and upgraded the digital filtering used to interpret NoPig displacement data. This upgrade should allow the system to be used on long seam welded pipes. Limited laboratory testing was performed to show the improvement on ERW pipe. The NoPig method is a non-destructive testing method for unpiggable pipelines which uses above ground measurements for detecting and sizing wall thickness anomalies like corrosion. The method uses an applied current containing several distinct frequencies between two points on a pipeline up to 1 km apart. The resultant magnetic field is meas
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Agassi, Menahem, Michael J. Singer, Eyal Ben-Dor, et al. Developing Remote Sensing Based-Techniques for the Evaluation of Soil Infiltration Rate and Surface Roughness. United States Department of Agriculture, 2001. http://dx.doi.org/10.32747/2001.7586479.bard.

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The objective of this one-year project was to show whether a significant correlation can be established between the decreasing infiltration rate of the soil, during simulated rainstorm, and a following increase in the reflectance of the crusting soil. The project was supposed to be conducted under laboratory conditions, using at least three types of soils from each country. The general goal of this work was to develop a method for measuring the soil infiltration rate in-situ, solely from the reflectance readings, using a spectrometer. Loss of rain and irrigation water from cultivated fields is
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Swinney, Mathew, and Michael Smith. Methods for Estimating Dose from Galactic Cosmic Rays and Jovian Radiation Belts on Reduced-Order Monte Carlo Geometries. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1871121.

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Friedman, Shmuel, Jon Wraith, and Dani Or. Geometrical Considerations and Interfacial Processes Affecting Electromagnetic Measurement of Soil Water Content by TDR and Remote Sensing Methods. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7580679.bard.

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Time Domain Reflectometry (TDR) and other in-situ and remote sensing dielectric methods for determining the soil water content had become standard in both research and practice in the last two decades. Limitations of existing dielectric methods in some soils, and introduction of new agricultural measurement devices or approaches based on soil dielectric properties mandate improved understanding of the relationship between the measured effective permittivity (dielectric constant) and the soil water content. Mounting evidence indicates that consideration must be given not only to the volume frac
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Varga, Gabriella A., Amichai Arieli, Lawrence D. Muller, Haim Tagari, Israel Bruckental, and Yair Aharoni. Effect of Rumen Available Protein, Amimo Acids and Carbohydrates on Microbial Protein Synthesis, Amino Acid Flow and Performance of High Yielding Cows. United States Department of Agriculture, 1993. http://dx.doi.org/10.32747/1993.7568103.bard.

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The effect of rumen available protein amino acids and carbohydrates on microbial protein synthesis, amino acid flow and performance of high yielding dairy cows was studied. A significant relationship between the effective degradabilities of OM in feedstuffs and the in vivo ruminal OM degradation of diets of dairy cows was found. The in situ method enabled the prediction of ruminal nutrients degradability response to processing of energy and nitragenous supplements. The AA profile of the rumen undegradable protein was modified by the processing method. In a continuous culture study total N and
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10

Godinez. L51492 Evaluation of the Kaiser Effect in Pipe Steels. Pipeline Research Council International, Inc. (PRCI), 1985. http://dx.doi.org/10.55274/r0010591.

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Abstract:
Acoustic emission (AE) proof testing is a particularly attractive method of nondestructively examining large structures such as pressure vessels and pipelines because a total volumetric examination can be made with AE sensors mounted at relatively large intervals over the surface of-the structures. The proof test, to be effective, requires an increase in pressure that is significantly greater than previously applied pressure in order to elicit AE from existing defects. In the case of gas pipelines, however, overpressure of gas in the line represents a considerable risk. It is therefore desirab
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