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Showing 1 to 20 of 135 for “"RSM"”.

  1. Enhancing the functionality of delactosed whey by enzymatic hydrolysis using Response Surface Methodology Approach (RSM)

    … challenging. Using response surface methodology (RSM), the number of experimental units necessary to find the optimal point can be tailored depending on the time and resource constraints of the experimenter. The first objective was, therefore, to amplify the functional properties of the protein …

    umn Repository record for Enhancing the functionality of delactosed whey by enzymatic hydrolysis using Response Surface Methodology Approach (RSM) (opens in a new tab)

  2. Modelizado y optimización de problemas mecánicos no lineales mediante el Método de Elementos Finitos, RSM y ML

    Elastomer materials have a non-linear mechanical behaviour, and can also admit large deformations. In order to correctly model these materials, it is not enough to obtain an elastic modulus and their elastic limit and rupture stresses. These materials require a more complex characterization, which …

    dialnet Repository record for Modelizado y optimización de problemas mecánicos no lineales mediante el Método de Elementos Finitos, RSM y ML (opens in a new tab)

  3. Simulation-optimization studies: under efficient stimulation strategies, and a novel response surface methodology algorithm

    … technique of response surface methodology (RSM). RSM is a collection of mathematical and statistical techniques for experimental optimization. Correlation induction strategies can be employed in RSM to achieve improved statistical inferences on experimental designs and sequential …

    vt Repository record for Simulation-optimization studies: under efficient stimulation strategies, and a novel response surface methodology algorithm (opens in a new tab)

  4. Semiparametric Techniques for Response Surface Methodology

    … the techniques of Response Surface Methodology (RSM) to study and optimize products and processes. A second-order Taylor series approximation is commonly utilized to model the data; however, parametric models are not always adequate. In these situations, any degree of model misspecification may …

    vt Repository record for Semiparametric Techniques for Response Surface Methodology (opens in a new tab)

  5. An Empirical Test of the Relative State Model with Texas Holdem Poker Scenarios

    … risky decision-making, the relative state model (RSM), using Texas holdem poker scenarios. The RSM suggests that risk taking is a product of one of two interacting pathways—need (desperation) and ability (affordance). According the RSM, decisions are made based on an assessment of one’s relative …

    regina Repository record for An Empirical Test of the Relative State Model with Texas Holdem Poker Scenarios (opens in a new tab)

  6. A phenomenological rapid sloshing model for use as an operator guidance system on liquefied natural gas carriers

    … model is required.<br/>The Rapid Sloshing Model (RSM) is based on the observation that the centre of mass of a sloshing fluid tends to follow a particular trajectory. Using a phenomenological modelling approach, the forces affecting the sloshing response are approximated with mathematical …

    soton Repository record for A phenomenological rapid sloshing model for use as an operator guidance system on liquefied natural gas carriers (opens in a new tab)

  7. Optimization of parameters of laser non-linear inclined cutting on stainless steel metal

    … (DOE) analysis. Response Surface Methodology (RSM) is used in this research, it is one of the most practical and most effective techniques to develop a process model. Even though RSM has been used for the optimisation of the laser process, published RSM modelling work on the application of …

    uthm Repository record for Optimization of parameters of laser non-linear inclined cutting on stainless steel metal (opens in a new tab)

  8. Entwicklung eines Reynolds-Spannungs-Modells zur Modellierung turbulenter Sprayflammen

    … Arbeit wird ein Reynolds-Spannungs-Modell (RSM) zur Beschreibung turbulenter Sprayflammen entwickelt. Aus einem RSM für reine Gasphasen werden erweiterte Gleichungen unter Berücksichtigung von zusätzlichen Quelltermen durch die flüssige Phase hergeleitet. Fur die Gasphase werden die …

    heid-diss Repository record for Entwicklung eines Reynolds-Spannungs-Modells zur Modellierung turbulenter Sprayflammen (opens in a new tab)

  9. Exploiting Malleable Parallelism on Multicore Systems

    … system called Resizing for Shared Memory (RSM), which supports OpenMP applications on shared memory platforms. RSM includes a main daemon that records performance information and makes resizing decisions as well as a communication library to allow applications to contact the RSM daemon and …

    vt Repository record for Exploiting Malleable Parallelism on Multicore Systems (opens in a new tab)

  10. An approach to robustness in stable marriage and stable roommates problems

    … to the SM as the Robust Stable Marriage problem (RSM). Subsequently, we prove that RSM is NP-hard, and the decision problem for the case where a=1 (i.e. deciding if there exists a (1,b)-supermatch) is NP-complete. We also develop a constraint programming model and a number of meta-heuristic …

    cork Repository record for An approach to robustness in stable marriage and stable roommates problems (opens in a new tab)

  11. A response surface model of the air quality impacts of aviation

    … In this thesis, a response surface model (RSM) is developed for the high-fidelity, but time-consuming, Community Multiscale Air Quality (CMAQ) simulation system. The RSM relates changes in aviation emissions in the United States to changes in ambient concentrations of particulate matter, …

    mit Repository record for A response surface model of the air quality impacts of aviation (opens in a new tab)

  12. Avoiding Tough Policy Choices in an Influenza Pandemic: The Role of Kettl's Rocket Science Model in Public Health

    … approach, which Kettl's Rocket Science Model (RSM) exemplifies, does not leave us with such choices. Furthermore, I connect the epidemiological concepts public health practitioners apply toward communicable disease pandemics to RSM concepts. Finally, drawing on the disease parameters of a …

    denver Repository record for Avoiding Tough Policy Choices in an Influenza Pandemic: The Role of Kettl's Rocket Science Model in Public Health (opens in a new tab)

  13. The use of correlated simulation experiments in response surface optimization

    Response surface methodology (RSM) provides a useful framework for the optimization of stochastic simulation models. The sequential experimentation and model fitting procedures of RSM enable prediction of the response and location of the optimum operating conditions. In a simulation environment, …

    vt Repository record for The use of correlated simulation experiments in response surface optimization (opens in a new tab)

  14. Response surface methods applied to submarine concept exploration

    … technique called Response Surface Methods (RSM). The purpose of RSM is to lead to an understanding of the relationship between the input (factors) and output (response) variables, often to further the optimization of the underlying process. The RSM approach allows the designers to find a …

    mit Repository record for Response surface methods applied to submarine concept exploration (opens in a new tab)

  15. Optimality criteria applied to certain response surface designs

    … to be important in Response Surface Methodology (RSM). This led naturally to designing RSM experiments for best estimation of these coefficients as a primary goal. A design criterion, D<sub>S</sub>-optimality, was applied to several classes of RSM designs to find optimal choices of design …

    vt Repository record for Optimality criteria applied to certain response surface designs (opens in a new tab)

  16. Robust parameter optimization strategies in computer simulation experiments

    … application of response surface methodology (RSM) to the problem of simulation optimization is examined. Simplifying assumptions that enable the use of RSM techniques are examined. The relaxation of these assumptions to address model validity leads to a modification of the RSM approach to …

    vt Repository record for Robust parameter optimization strategies in computer simulation experiments (opens in a new tab)

  17. Response surface analysis of high fructose corn syrup cakes emulsified with sucrose esters and mono- and diglycerides

    … emulsifiers. Response surface methodology (RSM) was employed to predict the levels of HFCS required with and without emulsifiers to produce cakes of relatively high volume, moistness, tenderness and low aftertaste. Cakes prepared with HFCS as a partial or complete replacement for sucrose had …

    vt Repository record for Response surface analysis of high fructose corn syrup cakes emulsified with sucrose esters and mono- and diglycerides (opens in a new tab)

  18. Estudio y caracterización de lipasas comerciales con potencial biotecnológico para la modificación de aceites

    … la metodología de superficies de respuesta (RSM), se incorporó un 39% de ALA en un aceite de palma. Finalmente, se optimizaron mediante RSM las condiciones de síntesis de monoglicéridos mediante glicerólisis en medio “free solvent” con aceite de anchoa, para la obtención de monoglicéridos …

    burgos Repository record for Estudio y caracterización de lipasas comerciales con potencial biotecnológico para la modificación de aceites (opens in a new tab)

  19. Diesel-cng dual fuel combustion characterization using vibro-acoustic analysis and response surface methodology

    … fuel engine using Response Surface Methodology (RSM). Two inputs which are CNG substitution rate and engine speed were used to predict the engine output characteristics in terms of engine performance, exhaust emissions, combustion pattern and combustion stability. Within the investigation, a …

    uthm Repository record for Diesel-cng dual fuel combustion characterization using vibro-acoustic analysis and response surface methodology (opens in a new tab)

  20. Semi-Parametric Techniques for Multi-Response Optimization

    … (MRO) problem in response surface methodology (RSM) is quite common in industry and in many other areas of science. During the optimization stage in MRO, the desirability function method, one of the most flexible and popular MRO approaches and which has been utilized in this research, is a …

    vt Repository record for Semi-Parametric Techniques for Multi-Response Optimization (opens in a new tab)

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