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Journal articles on the topic 'Mixture Experiments ; Design of Experiments ; Nonlinear Models'

Author: Grafiati

Published: 4 June 2021

Last updated: 18 February 2022

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1

Patan, Krzysztof, Maciej Patan, and Kamil Klimkowicz. "Sensor Fault-Tolerant Control Design for Magnetic Brake System." Sensors 20, no. 16 (2020): 4598. http://dx.doi.org/10.3390/s20164598.

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The purpose of the paper is to develop an efficient approach to fault-tolerant control for nonlinear systems of magnetic brakes. The challenging problems of accurate modeling, reliable fault detection and a control design able to compensate for potential sensor faults are addressed. The main idea here is to make use of the repetitive character of the control task and apply iterative learning control based on the observational data to accurately tune the system models for different states of the system. The proposed control scheme uses a learning controller built on a mixture of neural networks

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Duarte, Belmiro P. M., Anthony C. Atkinson, José F. O. Granjo, and Nuno M. C. Oliveira. "Optimal design of mixture experiments for general blending models." Chemometrics and Intelligent Laboratory Systems 217 (October 2021): 104400. http://dx.doi.org/10.1016/j.chemolab.2021.104400.

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Goos, P., U. Syafitri, B. Sartono, and A. R. Vazquez. "A nonlinear multidimensional knapsack problem in the optimal design of mixture experiments." European Journal of Operational Research 281, no. 1 (2020): 201–21. http://dx.doi.org/10.1016/j.ejor.2019.08.020.

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Silveira, J., and J. P. Leite. "Technique for optimization of ceramic bodies using mixture design." Cerâmica 56, no. 340 (2010): 347–54. http://dx.doi.org/10.1590/s0366-69132010000400006.

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In the production of wall and floor ceramic tiles, mixtures of raw materials from several origins with different physical and chemical characteristics are used. Those changes of raw materials alter the quality of the finished product, what implicates in the constant reformulation in the composition of the ceramic mass through try and error, consuming time and materials. This configures the ideal circumstance to apply the techniques of experiments design, often used in many areas to model properties of such ceramic bodies. In the present study, 21 formulations of six raw materials, namely talc,

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Mani, Kolandavel, Vellappan Selladurai, and Natarajan Murugan. "Experimental investigations with eco-friendly refrigerants using design of experiments technique-mathematical modeling and experimental validation." Thermal Science 18, suppl.2 (2014): 363–74. http://dx.doi.org/10.2298/tsci110805114m.

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In this paper mathematical models were developed using design of experiments technique for the performance prediction of refrigeration system parameters such as refrigerating capacity, power consumption and coefficient of performance. The models developed were checked for their adequacy using F-test. The performances of vapour compression refrigeration system with different refrigerants R12, R134a and R290/R600a were compared. The R290/R600a mixture showed 10.7-23.6% higher coefficient of performance than that with R12 and R134a and it was found that the hydrocarbon mixture with 68% propane an

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van den Berg, Wim, Johan Grasman, and Walter A. H. Rossing. "Optimal design of experiments on nematode dynamics and crop yield." Nematology 14, no. 7 (2012): 773–86. http://dx.doi.org/10.1163/15685411-00002682.

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Experimental design theory provides tools to estimate parameters of nematode dynamics and yield loss functions with the highest accuracy given the available budget for the experiment. Variables in models, which take the role of predictors, are given values and a weight so that the best result is obtained. As a side result the prediction of the response will have a minimal variance. We introduce the concept of D-optimum design and consider in our models two response variables: the nematode density at the end of the season and the crop yield. Both variables depend on the same predictor, the init

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Huang, Yuanzhi, Steven G. Gilmour, Kalliopi Mylona, and Peter Goos. "Optimal Design of Experiments for Hybrid Nonlinear Models, with Applications to Extended Michaelis–Menten Kinetics." Journal of Agricultural, Biological and Environmental Statistics 25, no. 4 (2020): 601–16. http://dx.doi.org/10.1007/s13253-020-00405-3.

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Abstract Biochemical mechanism studies often assume statistical models derived from Michaelis–Menten kinetics, which are used to approximate initial reaction rate data given the concentration level of a single substrate. In experiments dealing with industrial applications, however, there are typically a wide range of kinetic profiles where more than one factor is controlled. We focus on optimal design of such experiments requiring the use of multifactor hybrid nonlinear models, which presents a considerable computational challenge. We examine three different candidate models and search for tai

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Yagla, Jon J., Richard S. Haag, and Matthew E. Scott. "Laser Welding Analysis and Experiments." Journal of Ship Production 11, no. 02 (1995): 102–10. http://dx.doi.org/10.5957/jsp.1995.11.2.102.

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A "seamless engineering" approach for mechanical design and laser welding manufacturing combines a method for welding analysis with a method for stress analysis through the development of radiant heating models for use in a nonlinear finite-element computer program. Experiments were performed welding steel plates, using a five-axis computer numerical controlled (CNC) workstation to translate welding specimens under a 5-kW CO2 (carbon dioxide) laser. Thermocouples installed near the weld seam were used to measure the transient temperature field during welding. The measured temperatures were com

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SYVITSKI, RAYMOND T., JAMES M. POLSON, and E. ELLIOTT BURNELL. "INTERMOLECULAR POTENTIALS IN LIQUID CRYSTALS: COMPARISON BETWEEN SIMULATIONS AND NMR EXPERIMENTS." International Journal of Modern Physics C 10, no. 02n03 (1999): 403–13. http://dx.doi.org/10.1142/s0129183199000309.

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The anisotropic intermolecular forces responsible for the orientational ordering in liquid crystals are probed by comparing Monte Carlo (MC) simulations with experimental nuclear magnetic resonance (NMR) results for solutes in nematic liquid crystals. In a special liquid crystal mixture where all long-range interactions are assumed to be minimized, the models for short-range interactions which best fit NMR experimental solute order parameters also best fit solute order parameters from MC simulations of hard ellipsoids. This is taken as an indication that in this special mixture the intermolecu

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Lane, Adam, and Nancy Flournoy. "Two-Stage Adaptive Optimal Design with Fixed First-Stage Sample Size." Journal of Probability and Statistics 2012 (2012): 1–15. http://dx.doi.org/10.1155/2012/436239.

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In adaptive optimal procedures, the design at each stage is an estimate of the optimal design based on all previous data. Asymptotics for regular models with fixed number of stages are straightforward if one assumes the sample size of each stage goes to infinity with the overall sample size. However, it is not uncommon for a small pilot study of fixed size to be followed by a much larger experiment. We study the large sample behavior of such studies. For simplicity, we assume a nonlinear regression model with normal errors. We show that the distribution of the maximum likelihood estimates conv

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Kiparissides, Alexandros, Christos Georgakis, Athanasios Mantalaris, and Efstratios N. Pistikopoulos. "Design of In Silico Experiments as a Tool for Nonlinear Sensitivity Analysis of Knowledge-Driven Models." Industrial & Engineering Chemistry Research 53, no. 18 (2014): 7517–25. http://dx.doi.org/10.1021/ie4032154.

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Zeghdoudi, Halim, and Madjda Amrani. "On Mixture GARCH Models: Long, Short Memory and Application in Finance." Journal of Mathematics and Statistics Studies 2, no. 2 (2021): 01–07. http://dx.doi.org/10.32996/jmss.2021.2.2.1.

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In this work, we study the famous model of volatility; called model of conditional heteroscedastic autoregressive with mixed memory MMGARCH for modeling nonlinear time series. The MMGARCH model has two mixing components, one is a GARCH short memory and the other is GARCH long memory. the main objective of this search for finds the best model between mixtures of the models we made (long memory with long memory, short memory with short memory and short memory with long memory) Also, the existence of its stationary solution is discussed. The Monte Carlo experiments demonstrate we discovered theor

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Ossenbruggen, P. J., H. Spanjers, H. Aspegren, and A. Klapwijk. "Designing Experiments for Model Identification of the Nitrification Process." Water Science and Technology 24, no. 6 (1991): 9–16. http://dx.doi.org/10.2166/wst.1991.0135.

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A series of batch tests were performed to study the competition for oxygen by Nitrosomonas and Nitrobacter in the nitrification of ammonia in activated sludge. Oxygen uptake rate (OUR) and dynamic (compartment) models describing the process are proposed and tested. The OUR model is described by a Monod relationship and the biogradation process by a set of first order nonlinear differential equations with variable coefficients. The results show a mechanistic model and ten reaction rates are sufficient to capture the interactive behavior of the nitrification process. Methods for model specificat

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ZBICIAK, Artur, Karol BRZEZIŃSKI, and Rafał MICHALCZYK. "Constitutive models of pavement asphaltic layers based on mixture compositions." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 23, no. 3 (2017): 378–83. http://dx.doi.org/10.3846/13923730.2015.1128483.

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The design of flexible and semi-rigid pavements by applying mechanistic-empirical methods involves the determination of the stress and strain states in accordance with the assumptions of continuum mechanics. Advanced computational models should take into account the rheological properties of asphalt layers. Precise identification of visco-elastic parameters of asphalt aggregate mixtures requires a lot of expensive laboratory experiments. The objective of this paper is to propose a new method allowing the identification of visco-elastic constitutive parameters based only on the mixture composit

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Ray, A., M. S. Holmes, and C. F. Lorenzo. "Life extending controller design for reusable rocket engines." Aeronautical Journal 105, no. 1048 (2001): 315–22. http://dx.doi.org/10.1017/s0001924000012197.

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Abstract The goal of life extending control (LEC) is to enhance structural durability of complex mechanical systems, such as aircraft, spacecraft, and energy conversion devices, without incurring any significant loss of performance. This paper presents a concept of robust life-extending controller design for reusable rocket engines, similar to the Space Shuttle Main Engine (SSME), via damage mitigation in both fuel and oxidiser turbines while achieving the required performance for transient responses of the main combustion chamber pressure and the oxidant/fuel mixture ratio. The design procedu

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van Driel, W. D., G. Q. Zhang, J. H. J. Janssen, and L. J. Ernst. "Response Surface Modeling for Nonlinear Packaging Stresses." Journal of Electronic Packaging 125, no. 4 (2003): 490–97. http://dx.doi.org/10.1115/1.1604149.

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The present study focuses on the development of reliable response surface models (RSM’s) for the major packaging processes of a typical electronic package. The major objective is to optimize the product/process designs against the possible failure mode of vertical die cracks. First, the finite element mode (FEM)-based physics of failure models are developed and the reliability of the predicted stress levels was verified by experiments. In the development of reliable thermo-mechanical simulation models, both the process (time and temperature) dependent material nonlinearity and geometric nonlin

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Flores, Marina J., Rodolfo J. Brandi, Alberto E. Cassano, and Marisol D. Labas. "Kinetic model of water disinfection using peracetic acid including synergistic effects." Water Science and Technology 73, no. 2 (2015): 275–82. http://dx.doi.org/10.2166/wst.2015.491.

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The disinfection efficiencies of a commercial mixture of peracetic acid against Escherichia coli were studied in laboratory scale experiments. The joint and separate action of two disinfectant agents, hydrogen peroxide and peracetic acid, were evaluated in order to observe synergistic effects. A kinetic model for each component of the mixture and for the commercial mixture was proposed. Through simple mathematical equations, the model describes different stages of attack by disinfectants during the inactivation process. Based on the experiments and the kinetic parameters obtained, it could be

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Xie, Yan Min, and Xiao Mei Xu. "Investigation of Process Parameters Based on Kriging in Sheet Metal Forming." Advanced Materials Research 346 (September 2011): 128–35. http://dx.doi.org/10.4028/www.scientific.net/amr.346.128.

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Design and analysis of computer experiments have been widely investigated. This study presents numerical procedure to optimize the sheet metal forming process. Metamodels based on responses from numerical experiments may form efficient approximations to functions in engineering analysis. They can improve the efficiency of engineering optimization substantially by uncoupling computationally expensive analysis models and (iterative) optimization procedures. This paper investigated the kriging metamodel approach. At the same time, the practical nonlinear engineering problems such as square drawin

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BERGTHORSON, JEFFREY M., SEAN D. SALUSBURY, and PAUL E. DIMOTAKIS. "Experiments and modelling of premixed laminar stagnation flame hydrodynamics." Journal of Fluid Mechanics 681 (June 23, 2011): 340–69. http://dx.doi.org/10.1017/jfm.2011.203.

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The hydrodynamics of a reacting impinging laminar jet, or stagnation flame, is studied experimentally and modelled using large activation energy asymptotic models and numerical simulations. The jet-wall geometry yields a stable, steady flame and allows for precise measurement and specification of all boundary conditions on the flow. Laser diagnostic techniques are used to measure velocity and CH radical profiles. The axial velocity profile through a premixed stagnation flame is found to be independent of the nozzle-to-wall separation distance at a fixed nozzle pressure drop, in accord with res

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Varaksin, Anatoly N., Vladimir G. Panov, Boris A. Katsnelson, and Ilzira A. Minigalieva. "Using Various Nonlinear Response Surfaces for Mathematical Description of the Type of Combined Toxicity." Dose-Response 16, no. 4 (2018): 155932581881659. http://dx.doi.org/10.1177/1559325818816596.

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The article considers the problem of characterizing the type of combined action produced by a mixture of toxic substances with the help of nonlinear response functions. Most attention is given to second-order models: the linear model with a cross-term and the quadratic model. General propositions are formulated based on the data on combined toxicity patterns previously obtained by the Ekaterinburg nanotoxicology team in animal experiments and analyzed with the help of the linear model with a cross-term. It is shown now that the quadratic model features these general characteristics in full mea

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Maletzke, André, Denis Dos Reis, Everton Cherman, and Gustavo Batista. "DyS: A Framework for Mixture Models in Quantification." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 4552–60. http://dx.doi.org/10.1609/aaai.v33i01.33014552.

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Quantification is an expanding research topic in Machine Learning literature. While in classification we are interested in obtaining the class of individual observations, in quantification we want to estimate the total number of instances that belong to each class. This subtle difference allows the development of several algorithms that incur smaller and more consistent errors than counting the classes issued by a classifier. Among such new quantification methods, one particular family stands out due to its accuracy, simplicity, and ability to operate with imbalanced training samples: Mixture

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Pohlmann, Valeria, Sidinei José Lopes, Isabel Lago, et al. "Nonlinear models. An approach to model irrigated and non-irrigated common bean (Phaseolus vulgaris L.) growth." International Journal for Innovation Education and Research 9, no. 5 (2021): 623–51. http://dx.doi.org/10.31686/ijier.vol9.iss5.3130.

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Common beans reduce their development and productivity when facing soil water deficit. Comprehension about growth response under this condition can be a tool for cultivar selection and escape from scarcity periods. Therefore, the objective was to characterize bean growth in different water conditions using logistic and chanter models. Two experiments (crop season= EI and fallow season = EII) were carried out in Santa Maria, RS, Brazil in a bifactorial scheme (cultivars: Triunfo, Garapiá, FC104; water condition: irrigated, not irrigated) in a completely randomized design. Fortnightly evaluation

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Wahle, Chris W., David S. Ross, and George M. Thurston. "On the design of experiments for determining ternary mixture free energies from static light scattering data using a nonlinear partial differential equation." Journal of Chemical Physics 137, no. 3 (2012): 034201. http://dx.doi.org/10.1063/1.4731694.

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Correia, Sivaldo Leite, Elayne Grun, Christian D. Denardi, Dachamir Hotza, and Marilena Valadares Folgueras. "Using Experiments Design to Model the Effect of Raw Materials on the Sintering and Technological Properties of Brick Compositions." Materials Science Forum 514-516 (May 2006): 1424–28. http://dx.doi.org/10.4028/www.scientific.net/msf.514-516.1424.

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Mixtures of clays are often used in the manufacture of bricks. In industrial practice, it is desirable to be able to predict, in an expeditious way, what the effects of a change in raw materials or the proportions thereof might be in the various processing steps towards the final product. When the property of interest is basically determined by the combination of raw materials, an optimisation methodology specific to the design of mixture experiments can be successfully used. In the present study, fired bending strength and linear firing shrinkage were selected as the properties to model. Ten

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Paull, A., R. J. Stalker, and D. J. Mee. "Experiments on supersonic combustion ramjet propulsion in a shock tunnel." Journal of Fluid Mechanics 296 (August 10, 1995): 159–83. http://dx.doi.org/10.1017/s0022112095002096.

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Measurements have been made of the propulsive effect of supersonic combustion ramjets incorporated into a simple axisymmetric model in a free piston shock tunnel. The nominal Mach number was 6, and the stagnation enthalpy varied from 2.8 to 8.5 MJ kg−1. A mixture of 13% silane and 87% hydrogen was used as fuel, and experiments were conducted at equivalence ratios up to approximately 0.8. The measurements involved the axial force on the model, and were made using a stress wave force balance, which is a recently developed technique for measuring forces in shock tunnels. A net thrust was experien

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Eu, Song, Sangjun Im, and Dongyeob Kim. "Development of Debris Flow Impact Force Models Based on Flume Experiments for Design Criteria of Soil Erosion Control Dam." Advances in Civil Engineering 2019 (December 31, 2019): 1–8. http://dx.doi.org/10.1155/2019/3567374.

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Soil erosion control dams are widely used as part of measures to reduce damage caused by debris flow all over the world. Engineering considerations are needed for proper design of erosion control dams, but in the Republic of Korea, the impact force of debris flow is not fully reflected in the current design criteria of the dam. Against this backdrop, this study was conducted to estimate the impact force of debris flow for the practical purpose of designing erosion control dam. Simulated flume experiments were performed to develop the relationship to estimate the flow velocity as well as the im

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JAFARI, AYYOOB, and FARSHAD ALMASGANJ. "USING NONLINEAR MODELING OF RECONSTRUCTED PHASE SPACE AND FREQUENCY DOMAIN ANALYSIS TO IMPROVE AUTOMATIC SPEECH RECOGNITION PERFORMANCE." International Journal of Bifurcation and Chaos 22, no. 03 (2012): 1250053. http://dx.doi.org/10.1142/s0218127412500538.

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This paper introduces a combinational feature extraction approach to improve speech recognition systems. The main idea is to simultaneously benefit from some features obtained from nonlinear modeling applied to speech reconstructed phase space (RPS) and typical Mel frequency Cepstral coefficients (MFCCs) which have a proved role in speech recognition field. With an appropriate dimension, the reconstructed phase space of speech signal is assured to be topologically equivalent to the dynamics of the speech production system, and could therefore include information that may be absent in linear an

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Escobar-Palafox, Gustavo A., Rosemary S. Gault, and Keith Ridgway. "The Effect of Abrasive Water Jet Process Variables on Surface and Subsurface Condition of Inconel 718." Advanced Materials Research 565 (September 2012): 351–56. http://dx.doi.org/10.4028/www.scientific.net/amr.565.351.

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Experiments were carried out in Inconel 718 in order to investigate the effect of abrasive water-jet process variables on surface and subsurface condition. A Design of Experiments (DoE) approach was taken, considering variables such as water pressure, traverse rate, abrasive mass flow rate and abrasive grit size. The experimental variables were related to taper ratio, surface roughness of different zones in the machined surface and subsurface condition (deformation and crater depth). Statistical analysis was carried out in order to develop mathematical models which include process variable int

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Berniker, Max, David W. Franklin, J. Randall Flanagan, Daniel M. Wolpert, and Konrad Kording. "Motor learning of novel dynamics is not represented in a single global coordinate system: evaluation of mixed coordinate representations and local learning." Journal of Neurophysiology 111, no. 6 (2014): 1165–82. http://dx.doi.org/10.1152/jn.00493.2013.

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Successful motor performance requires the ability to adapt motor commands to task dynamics. A central question in movement neuroscience is how these dynamics are represented. Although it is widely assumed that dynamics (e.g., force fields) are represented in intrinsic, joint-based coordinates (Shadmehr R, Mussa-Ivaldi FA. J Neurosci 14: 3208–3224, 1994), recent evidence has questioned this proposal. Here we reexamine the representation of dynamics in two experiments. By testing generalization following changes in shoulder, elbow, or wrist configurations, the first experiment tested for extrins

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Volokhova, Alina V., Elena V. Zemlyanaya, Vladimir V. Kachalov, Victor S. Rikhvitsky, and Vadim N. Sokotushchenko. "Simulation of a gas-condensate mixture passing through a porous medium in depletion mode." Russian Family Doctor 27, no. 3 (2019): 205–16. http://dx.doi.org/10.17816/rfd10658.

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One of important tasks in a development of gas-condensate fields is to minimize hydrocarbons loss arising from the gas condensation in pores of the gas-bearing layer. The search for the optimal gas production regime is carried out both on the basis of laboratory experiments and on the base of computer simulation. In this regard, the relevant is the verification of the constructed mathematical models by means of comparison of numerical results with experimental data obtained on the laboratory models of a hydrocarbon reservoirs. Within the classical approach on the basis of the Darcy law and the

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Volokhova, Alina V., Elena V. Zemlyanaya, Vladimir V. Kachalov, Victor S. Rikhvitsky, and Vadim N. Sokotushchenko. "Simulation of a gas-condensate mixture passing through a porous medium in depletion mode." Russian Family Doctor 27, no. 3 (2019): 205–16. http://dx.doi.org/10.17816/rfd10663.

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One of important tasks in a development of gas-condensate fields is to minimize hydrocarbons loss arising from the gas condensation in pores of the gas-bearing layer. The search for the optimal gas production regime is carried out both on the basis of laboratory experiments and on the base of computer simulation. In this regard, the relevant is the verification of the constructed mathematical models by means of comparison of numerical results with experimental data obtained on the laboratory models of a hydrocarbon reservoirs. Within the classical approach on the basis of the Darcy law and the

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Volokhova, Alina V., Elena V. Zemlyanaya, Vladimir V. Kachalov, Victor S. Rikhvitsky, and Vadim N. Sokotushchenko. "Simulation of a gas-condensate mixture passing through a porous medium in depletion mode." Russian Family Doctor 27, no. 3 (2019): 205–16. http://dx.doi.org/10.17816/rfd10664.

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One of important tasks in a development of gas-condensate fields is to minimize hydrocarbons loss arising from the gas condensation in pores of the gas-bearing layer. The search for the optimal gas production regime is carried out both on the basis of laboratory experiments and on the base of computer simulation. In this regard, the relevant is the verification of the constructed mathematical models by means of comparison of numerical results with experimental data obtained on the laboratory models of a hydrocarbon reservoirs. Within the classical approach on the basis of the Darcy law and the

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Volokhova, Alina V., Elena V. Zemlyanaya, Vladimir V. Kachalov, Victor S. Rikhvitsky, and Vadim N. Sokotushchenko. "Simulation of a gas-condensate mixture passing through a porous medium in depletion mode." Russian Family Doctor 27, no. 3 (2019): 205–16. http://dx.doi.org/10.17816/rfd10665.

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One of important tasks in a development of gas-condensate fields is to minimize hydrocarbons loss arising from the gas condensation in pores of the gas-bearing layer. The search for the optimal gas production regime is carried out both on the basis of laboratory experiments and on the base of computer simulation. In this regard, the relevant is the verification of the constructed mathematical models by means of comparison of numerical results with experimental data obtained on the laboratory models of a hydrocarbon reservoirs. Within the classical approach on the basis of the Darcy law and the

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Volokhova, Alina V., Elena V. Zemlyanaya, Vladimir V. Kachalov, Victor S. Rikhvitsky, and Vadim N. Sokotushchenko. "Simulation of a gas-condensate mixture passing through a porous medium in depletion mode." Discrete and Continuous Models and Applied Computational Science 27, no. 3 (2019): 205–16. http://dx.doi.org/10.22363/2658-4670-2019-27-3-205-216.

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One of important tasks in a development of gas-condensate fields is to minimize hydrocarbons loss arising from the gas condensation in pores of the gas-bearing layer. The search for the optimal gas production regime is carried out both on the basis of laboratory experiments and on the base of computer simulation. In this regard, the relevant is the verification of the constructed mathematical models by means of comparison of numerical results with experimental data obtained on the laboratory models of a hydrocarbon reservoirs. Within the classical approach on the basis of the Darcy law and the

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Boudina, Tounsia, Dalila Benamara, and Rebih Zaitri. "Optimization of High-Performance-Concrete properties containing fine recycled aggregates using mixture design modeling." Frattura ed Integrità Strutturale 15, no. 57 (2021): 50–62. http://dx.doi.org/10.3221/igf-esis.57.05.

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This investigation means to predict and modeling the fresh and hardened concrete behavior containing fine aggregates from concrete and brick wastes, for different recycled aggregates substitution rates. To succeed this, the design of experiments DOE method was used. It is observed that slump of recycled concrete is significantly influenced by the content in recycled concrete aggregates (RCA), natural sand (NS) and recycled brick aggregates (RBA), respectively.The compressive strength (CS) reaches a maximum value of 83.48 MPa with factors values of 25% RBA, and 75% RCA. And HPC’s based on RBA s

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Ruiz, A., P. E. Lopez-de-Teruel, and M. C. Garrido. "Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians." Journal of Artificial Intelligence Research 9 (October 1, 1998): 167–217. http://dx.doi.org/10.1613/jair.533.

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This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of finite mixture models, conjugate families and factorization. Both the joint probability density of the variables and the likelihood function of the (objective or subjective) observation are approximated by a special mixture model, in such a way that any desired conditional distribution can be directly obtained without numerical integration. We have developed an extended version of the expectation maximization (EM) algorit

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Wang, Zhen Hua, and Jun Tang Yuan. "Study on Cutting Forces of Mg-6Nd-4Gd-3Y Magnesium Alloy in High-Speed Milling." Advanced Materials Research 338 (September 2011): 709–13. http://dx.doi.org/10.4028/www.scientific.net/amr.338.709.

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In this paper, 24full factorial design and homogeneous design were applied to the high-speed milling experiments for Mg-6Nd-4Gd-3Y magnesium alloy. According to the experimental results of cutting force, the effect of cutting parameters (cutting speed, feed per tooth, depth of cut, and width of cut) on cutting force was discussed, and the nonlinear polynomial regression models of cutting forces based on the cutting parameters were presented by the partial least-square regression.

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BRUSOV, PETER, PAUL BRUSOV, and CHONG LEE. "COLLECTIVE PROPERTIES OF UNCONVENTIONAL SUPERCONDUCTORS." International Journal of Modern Physics B 18, no. 06 (2004): 867–82. http://dx.doi.org/10.1142/s021797920402401x.

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In light of recent experiments, the study of the collective excitations in unconventional superconductors (USC) becomes very important. We build by path integration technique 2D and 3D models of p- and d-pairing for superfluids and superconductors (SC). Within these models we calculate the collective excitations in different USC (high temperature superconductors (HTSC), heavy fermion superconductors (HFSC) etc.) under p- and d-pairing. We considered both bulk and 2D systems. Some recent ideas concerning realization in HTSC of the mixtures of different states are investigated. In particular, we

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Zung, Pei-Sun, and Ming-Hwei Perng. "Nonlinear Dynamic Model of a Two-Stage Pressure Relief Valve for Designers." Journal of Dynamic Systems, Measurement, and Control 124, no. 1 (2001): 62–66. http://dx.doi.org/10.1115/1.1435363.

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This paper presents a handy nonlinear dynamic model for the design of a two stage pilot pressure relief servo-valve. Previous surveys indicate that the performance of existing control valves has been limited by the lack of an accurate dynamic model. However, most of the existing dynamic models of pressure relief valves are developed for the selection of a suitable valve for a hydraulic system, and assume model parameters which are not directly controllable during the manufacturing process. As a result, such models are less useful for a manufacturer eager to improve the performance of a pressur

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Gong, Zhaopei, Liang Ding, Honghao Yue, et al. "System integration and control design of a maglev platform for space vibration isolation." Journal of Vibration and Control 25, no. 11 (2019): 1720–36. http://dx.doi.org/10.1177/1077546319836892.

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Micro-vibration has been a dominant factor impairing the performance of scientific experiments which are expected to be deployed in a micro-gravity environment such as a space laboratory. The micro-vibration has serious impact on the scientific experiments requiring a quasi-static environment. Therefore, we proposed a maglev vibration isolation platform operating in six degrees of freedom (DOF) to fulfill the environmental requirements. In view of the noncontact and large stroke requirement for micro-vibration isolation, an optimization method was utilized to design the actuator. Mathematical

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Thompson, R. L. "Structural Analysis Method Development for Turbine Hot Section Components." Journal of Engineering for Gas Turbines and Power 111, no. 2 (1989): 286–300. http://dx.doi.org/10.1115/1.3240250.

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This paper summarizes the structural analysis technologies and activities of the NASA Lewis Research Center’s gas turbine engine Hot Section Technology (HOST) program. The technologies synergistically developed and validated include: time-varying thermal/mechanical load models; component-specific automated geometric modeling and solution strategy capabilities; advanced inelastic analysis methods; inelastic constitutive models; high-temperature experimental techniques and experiments; and nonlinear structural analysis codes. Features of the program that incorporate the new technologies and thei

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Kasolis, Fotios, and Markus Clemens. "Model order reducibility of nonlinear electro-quasistatic problems." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 38, no. 5 (2019): 1453–64. http://dx.doi.org/10.1108/compel-12-2018-0519.

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Purpose This paper aims to develop an automated domain decomposition strategy that is based on the presence of nonlinear field grading material, in the context of model order reduction for transient strongly nonlinear electro-quasistatic (EQS) field problems. Design/methodology/approach The paper provides convincing empirical insights to support the proposed domain decomposition algorithm, a numerical investigation of the performance of the algorithm for different snapshots and model order reduction experiments. Findings The proposed method successfully decomposes the computational domain, whi

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Fujarewicz, Krzysztof. "Planning identification experiments for cell signaling pathways: An NFκB case study". International Journal of Applied Mathematics and Computer Science 20, № 4 (2010): 773–80. http://dx.doi.org/10.2478/v10006-010-0059-6.

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Planning identification experiments for cell signaling pathways: An NFκB case studyMathematical modeling of cell signaling pathways has become a very important and challenging problem in recent years. The importance comes from possible applications of obtained models. It may help us to understand phenomena appearing in single cells and cell populations on a molecular level. Furthermore, it may help us with the discovery of new drug therapies. Mathematical models of cell signaling pathways take different forms. The most popular way of mathematical modeling is to use a set of nonlinear ordinary

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Chengqi Zhang*, Ling Guan**, and Zheru Chi. "Introduction to the Special Issue on Learning in Intelligent Algorithms and Systems Design." Journal of Advanced Computational Intelligence and Intelligent Informatics 3, no. 6 (1999): 439–40. http://dx.doi.org/10.20965/jaciii.1999.p0439.

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Learning has long been and will continue to be a key issue in intelligent algorithms and systems design. Emulating the behavior and mechanisms of human learning by machines at such high levels as symbolic processing and such low levels as neuronal processing has long been a dominant interest among researchers worldwide. Neural networks, fuzzy logic, and evolutionary algorithms represent the three most active research areas. With advanced theoretical studies and computer technology, many promising algorithms and systems using these techniques have been designed and implemented for a wide range

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Attia, Ahmed, Salim Guettala, and Rebih Zaitri. "Using mixture design method to optimizing concretes characteristics made with binary and ternary sands." World Journal of Engineering 18, no. 2 (2021): 194–205. http://dx.doi.org/10.1108/wje-05-2020-0184.

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Purpose The purpose of this paper is to implement the mathematical models to predict concretes physico-mechanical characteristics made with binary and ternary sands using a mixture design method. It is a new technique that optimizes mixtures without being obliged to do a lot of experiments. The goal is to find the law governing the responses depending on mixture composition and capable of taking into account the effect of each parameter separately and in interaction between several parameters on the characteristics studied. Design/methodology/approach Mixture design method was used for optimiz

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Luo, Yi, Chang Hua Du, Chun Tian Li, and Jin He Liu. "Study on Nonlinear Multiple Regression Modeling of Nugget Morphology for Unequal-Thickness Dissimilar Steel Welding." Advanced Materials Research 189-193 (February 2011): 3300–3308. http://dx.doi.org/10.4028/www.scientific.net/amr.189-193.3300.

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The special thermal effect makes some alterations to nugget morphology during resistance spot welding on unequal-thickness dissimilar steel. Method of nonlinear multiple orthogonal regression assembling design was introduced to design the experiment and investigate the resistance spot welding process. The indexes studied in experiments were nugget diameter and nugget deviation, which were the primary factors affecting the nugget morphology. Furthermore, four process parameters, namely welding current, electrode force, welding current duration and heat-treatment pulse current, and interactions

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Jing, Fang, Li Ning Tan, Di Wang, and Ting Ting Zhang. "An Attitude Stabilization Method for Quadrotor Helicopter Using Brushless Motors." Applied Mechanics and Materials 427-429 (September 2013): 433–37. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.433.

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It is an important practical design problem for control system design of quadrotor helicopters with accurately actuator modeling, which is not mentioned in many previous works. In order to improve the performance of attitude stabilization control system, a new strategy is proposed in this paper. This control strategy is based on the accurately nonlinear modeling of the brushless motors using the Hammerstein series models. Furthermore the identification method to obtain such models from observed input-output data is presented. After models of four brushless motor are obtained, a backstepping at

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Onyelowe, Kennedy C., George Alaneme, Duc Bui Van, et al. "Generalized Review on EVD and Constraints Simplex Method of Materials Properties Optimization for Civil Engineering." Civil Engineering Journal 5, no. 3 (2019): 729. http://dx.doi.org/10.28991/cej-2019-03091283.

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Extreme vertex design (EVD) has been adapted to be used in the modeling of the behavior of mixture experiments in civil engineering. This method has been in use since the 1970s and has be prevalent in the field of medical science. Various other methods of design of experiments have been used in engineering but neither has EVD being used particularly in civil engineering. This review is presented to serve as a hub or guide for subsequent exercise where concrete production, asphalt production or modification, soils stabilization and concrete improvement or water treatment would be studied with t

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Choi, Jae Young, Jungwoo Shin, and Jongsu Lee. "Strategic Management of New Products: Ex-Ante Simulation and Market Segmentation." International Journal of Market Research 55, no. 2 (2013): 289–314. http://dx.doi.org/10.2501/ijmr-2013-024.

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Among various methodologies for demand forecasting of new products, the random-coefficient discrete-choice model using stated preference data is considered to be effective because it reflects heterogeneity in consumer preference and enables the design of experiments in the absence of revealedpreference data. Based on estimates drawn from consumer preference data by structural hierarchical Bayesian logit models, this study develops the overall, strategic, demand-side management for new products by combining market share simulation and a rigorous clustering methodology, the Gaussian mixture mode

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Teixeira, João, Carolyn A. Reynolds, and Kevin Judd. "Time Step Sensitivity of Nonlinear Atmospheric Models: Numerical Convergence, Truncation Error Growth, and Ensemble Design." Journal of the Atmospheric Sciences 64, no. 1 (2007): 175–89. http://dx.doi.org/10.1175/jas3824.1.

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Abstract Computational models based on discrete dynamical equations are a successful way of approaching the problem of predicting or forecasting the future evolution of dynamical systems. For linear and mildly nonlinear models, the solutions of the numerical algorithms on which they are based converge to the analytic solutions of the underlying differential equations for small time steps and grid sizes. In this paper, the authors investigate the time step sensitivity of three nonlinear atmospheric models of different levels of complexity: the Lorenz equations, a quasigeostrophic (QG) model, an

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