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Готові списки джерел за темами / Multiparameter optimization

Добірка наукової літератури з теми "Multiparameter optimization"

Автор: Grafiati

Опубліковано: 13 вересня 2021

Оновлено: 1 лютого 2022

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Статті в журналах
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Статті в журналах з теми "Multiparameter optimization":

1

Hajima, R., and R. Nagai. "Multiparameter optimization of an ERL injector." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 557, no. 1 (February 2006): 103–5. http://dx.doi.org/10.1016/j.nima.2005.10.060.

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2

Daboczi, T., and I. Kollar. "Multiparameter optimization of inverse filtering algorithms." IEEE Transactions on Instrumentation and Measurement 45, no. 2 (April 1996): 417–21. http://dx.doi.org/10.1109/19.492758.

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3

Court, L. E., and R. Speller. "A multiparameter optimization of digital mammography." Physics in Medicine and Biology 40, no. 11 (November 1, 1995): 1841–61. http://dx.doi.org/10.1088/0031-9155/40/11/006.

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4

Elkattan, M., and A. Kamel. "Multiparameter Optimization for Electromagnetic Inversion Problem." Advanced Electromagnetics 6, no. 3 (October 21, 2017): 94. http://dx.doi.org/10.7716/aem.v6i3.438.

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Electromagnetic (EM) methods have been extensively used in geophysical investigations such as mineral and hydrocarbon exploration as well as in geological mapping and structural studies. In this paper, we developed an inversion methodology for Electromagnetic data to determine physical parameters of a set of horizontal layers. We conducted Forward model using transmission line method. In the inversion part, we solved multi parameter optimization problem where, the parameters are conductivity, dielectric constant, and permeability of each layer. The optimization problem was solved by simulated annealing approach. The inversion methodology was tested using a set of models representing common geological formations.

5

Chandrasekar, V., Eugenio Gorgucci, and Gianfranco Scarchilli. "Optimization of Multiparameter Radar Estimates of Rainfall." Journal of Applied Meteorology 32, no. 7 (July 1993): 1288–93. http://dx.doi.org/10.1175/1520-0450(1993)032<1288:oomreo>2.0.co;2.

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6

Cernea, Aurelian. "Minimum principle and controllability for multiparameter discrete inclusions via derived cones." Discrete Dynamics in Nature and Society 2006 (2006): 1–12. http://dx.doi.org/10.1155/ddns/2006/96505.

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We consider a multiparameter discrete inclusion and we prove that the reachable set of a certain variational multiparameter discrete inclusion is a derived cone in the sense of Hestenes to the reachable set of the discrete inclusion. This result allows to obtain sufficient conditions for local controllability along a reference trajectory and a new proof of the minimum principle for an optimization problem given by a multiparameter discrete inclusion with endpoint constraints.

7

Shmitko, E. I., A. A. Rezanov, and A. A. Bedarev. "Multiparameter structure optimization of the cellular silicate concrete." Magazine of Civil Engineering 38, no. 3 (April 2013): 15–23. http://dx.doi.org/10.5862/mce.38.2.

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8

Segall, Matthew. "Advances in multiparameter optimization methods forde novodrug design." Expert Opinion on Drug Discovery 9, no. 7 (May 3, 2014): 803–17. http://dx.doi.org/10.1517/17460441.2014.913565.

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9

Li, Na, Xinchen Huang, Huijie Zhao, Xianfei Qiu, Ruonan Geng, Xiuping Jia, and Daming Wang. "Multiparameter Optimization for Mineral Mapping Using Hyperspectral Imagery." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 11, no. 4 (April 2018): 1348–57. http://dx.doi.org/10.1109/jstars.2018.2814617.

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10

Nomura, Laurel, Vernon C. Maino, and Holden T. Maecker. "Standardization and optimization of multiparameter intracellular cytokine staining." Cytometry Part A 73A, no. 11 (July 8, 2008): 984–91. http://dx.doi.org/10.1002/cyto.a.20602.

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Більше джерел

Дисертації з теми "Multiparameter optimization":

1

Kremers, Gert-Jan. "Optimization of fluorescent proteins for novel quantitative multiparameter microscopy approaches." [S.l. : Amsterdam : s.n.] ; Universiteit van Amsterdam [Host], 2006. http://dare.uva.nl/document/123454.

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2

Pleva, František. "Metoda odezvových ploch ve spojení s CFD pro tvarovou optimalizaci." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-449797.

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This thesis is focused on shape optimization of Venturi´s nozzle with optimization method called response surface method. The first part of this work is concerned with the description of this method as well as explaining the basic principle. Furthermore, there is an explanation of the application of this method in synchronicity with CFD and its operating algorithm. The second part of this thesis is then focused on simple example with plane wing and simplified optimization of Venturi´s nozzle in which this method was tested. In the third part there is described full multiparameter shape optimalization of the nozzle for two geometries.

3

Pinard, Hugo. "Imagerie électromagnétique 2D par inversion des formes d'ondes complètes : Approche multiparamètres sur cas synthétiques et données réelles." Thesis, Université Grenoble Alpes (ComUE), 2017. http://www.theses.fr/2017GREAU041/document.

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Le radar géologique est une méthode d'investigation géophysique basée sur la propagation d'ondes électromagnétiques dans le sous-sol. Avec des fréquences allant de 5 MHz à quelques GHz et une forte sensibilité aux propriétés électriques, le géoradar fournit des images de réflectivité dans des contextes et à des échelles très variés : génie civil, géologie, hydrogéologie, glaciologie, archéologie. Cependant, dans certains cas, la compréhension fine des processus étudiés dans la subsurface nécessite une quantification des paramètres physiques du sous-sol. Dans ce but, l'inversion des formes d'ondes complètes, méthode initialement développée pour l'exploration sismique qui exploite l'ensemble des signaux enregistrés, pourrait s'avérer efficace. Dans cette thèse, je propose ainsi des développements méthodologiques par une approche d'inversion multiparamètres (permittivité diélectrique et conductivité), pour des configurations en transmission, en deux dimensions.Ces développements sont ensuite appliqués à un jeu de données réelles acquises entre forages.Dans une première partie, je présente tout d'abord la méthode numérique utilisée pour modéliser la propagation des ondes électromagnétiques dans un milieu 2D hétérogène, élément indispensable pour mener à bien le processus d'imagerie. Ensuite, j’introduis puis étudie le potentiel des méthodes d’optimisation locale standards (gradient conjugué non linéaire, l-BFGS, Newton tronqué dans ses versions Gauss-Newton et Exact-Newton) pour découpler la permittivité diélectrique et la conductivité électrique. Je montre notamment qu’un découplage effectif n’est possible qu’avec un modèle initial suffisamment précis et la méthode la plus sophistiquée (Newton tronqué). Comme dans le cas général, ce modèle initial n’est pas disponible, il s’avère nécessaire d'introduire un facteur d'échelle qui répartit le poids relatif de chaque classe de paramètres dans l'inversion. Dans un milieu réaliste avec une acquisition entre puits, je montre que les différentes méthodes d'optimisation donnent des résultats similaires en matière de découplage de paramètres. C'est finalement la méthode l-BFGS qui est retenue pour l'application aux données réelles, en raison de coûts de calcul plus faibles.Dans une deuxième partie, j'applique cette méthodologie à des données réelles acquises entre deux forages localisés dans des formations carbonatées, à Rustrel (France, 84). Cette inversion est réalisée en parallèle d'une approche synthétique à l'aide d'un modèle représentatif du site étudié et des configurations d'acquisition similaires. Ceci permet de pouvoir comprendre, contrôler et valider les observations et conclusions obtenues sur les données réelles. Cette démarche montre que la reconstruction de la permittivité est très robuste. A contrario, l'estimation de la conductivité souffre de deux couplages majeurs, avec la permittivité diélectrique, d'une part, et avec l'amplitude de la source estimée, d'autre part. Les résultats obtenus sont confrontés avec succès à des données indépendantes (géophysique depuis la surface, analyse sur échantillons de roche), et permet de bénéficier d'une image haute-résolution des formations géologiques. Enfin, une analyse 3D confirme que les structures 3D à fort contraste de propriétés, telles que la galerie enfouie sur notre site, nécessiteraient une approche de modélisation 3D, notamment pour mieux expliquer les amplitudes observées
Ground Penetrating Radar (GPR) is a geophysical investigation method based on electromagnetic waves propagation in the underground. With frequencies ranging from 5 MHz to a few GHz and a high sensitivity to electrical properties, GPR provides reflectivity images in a wide variety of contexts and scales: civil engineering, geology, hydrogeology, glaciology, archeology. However, in some cases, a better understanding of some subsurface processes requires a quantification of the physical parameters of the subsoil. For this purpose, inversion of full waveforms, a method initially developed for seismic exploration that exploits all the recorded signals, could prove effective. In this thesis, I propose methodological developments using a multiparameter inversion approach (dielectric permittivity and conductivity), for two-dimensional transmission configurations. These developments are then applied to a real data set acquired between boreholes.In a first part, I present the numerical method used to model the propagation of electromagnetic waves in a heterogeneous 2D environment, a much-needed element to carry out the process of imaging. Then, I introduce and study the potential of standard local optimization methods (nonlinear conjugate gradient, l-BFGS, Newton truncated in its Gauss-Newton and Exact-Newton versions) to fight the trade-off effects related to the dielectric permittivity and to the electrical conductivity. In particular, I show that effective decoupling is possible only with a sufficiently accurate initial model and the most sophisticated method (truncated Newton). As in the general case, this initial model is not available, it is necessary to introduce a scaling factor which distributes the relative weight of each parameter class in the inversion. In a realistic medium and for a cross-hole acquisition configuration, I show that the different optimization methods give similar results in terms of parameters decoupling. It is eventually the l-BFGS method that is used for the application to the real data, because of lower computation costs.In a second part, I applied the developed Full waveform inversion methodology to a set of real data acquired between two boreholes located in carbonate formations, in Rustrel (France, 84). This inversion is carried out together with a synthetic approach using a model representative of the studied site and with a similar acquisition configuration. This approach enables us to monitor and validate the observations and conclusions derived from data inversion. It shows that reconstruction of dielectrical permittivity is very robust. Conversely, conductivity estimation suffers from two major couplings: the permittivity and the amplitude of the estimated source. The derived results are successfully compared with independent data (surface geophysics and rock analysis on plugs) and provides a high resolution image of the geological formation. On the other hand, a 3D analysis confirms that 3D structures presenting high properties contrasts, such as the buried gallery present in our site, would require a 3D approach, notably to better explain the observed amplitudes

Частини книг з теми "Multiparameter optimization":

1

Benzaoui, Abderrahmane, and Régis Duvigneau. "Multiparameter Shape Optimization." In Multidisciplinary Design Optimization in Computational Mechanics, 265–85. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118600153.ch6.

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2

Talevi, Alan. "Central Nervous System Multiparameter Optimization Desirability." In The ADME Encyclopedia, 1–8. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-51519-5_150-1.

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3

Segall, Matthew D., and Edmund J. Champness. "Multiparameter Optimization of ADMET for Drug Design." In Predictive ADMET, 145–66. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118783344.ch8.

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4

Balac, Martina, and Aleksandar Grbovic. "Multiparameter Structural Optimization of Pressure Vessel with Two Nozzles." In Experimental and Numerical Investigations in Materials Science and Engineering, 148–58. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99620-2_12.

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5

"Multiparameter Extremum Seeking." In Real-Time Optimization by Extremum-Seeking Control, 21–45. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2004. http://dx.doi.org/10.1002/0471669784.ch2.

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6

Polajnar, D., L. Lukic, and V. Solaja. "AN INTERACTIVE SIMULATION MODEL FOR MULTIPARAMETER OPTIMIZATION OF CUTTING PROCESSES IN FMS." In Information Control Problems in Manufacturing Technology 1989, 197–202. Elsevier, 1990. http://dx.doi.org/10.1016/b978-0-08-037023-1.50038-8.

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7

Asmaryan, Albert, Alexey Levanov, and Irina Borovik. "Research of Multichannel User Data to Identify the Degree of Similarity." In Strategic Innovations and Interdisciplinary Perspectives in Telecommunications and Networking, 30–46. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8188-8.ch002.

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This chapter introduces the method to assess similarity based on Facebook Graph API and user movements. All movements of users are collected and analyzed. The chapter presents an additional method for analyzing user-generated images on Instagram Graph API. The chapter presents a two-step multiparameter algorithm that generates recommendations based on user social activity and movements. A flexible mechanism for the calculations of time that one spends on a variety of social activities to more accurately identify the relationships between users is presented. To reduce the load on the application, the algorithms of data analysis and transfer optimization are proposed. The ultimate result of the study is to build a platform based on the “client-server” model and includes a mobile app on the iOS platform and server, which would be set up on the “LAMP” platform (L - Linux operating system, A - Apache web server, M - MySQL database, P - PHP programming language). The given result can be used and applied in various spheres of our lives to identify different relationships between people.

Тези доповідей конференцій з теми "Multiparameter optimization":

1

Jafroudi, Hamid, E. P. Muntz, and Robert J. Jennings. "Multiparameter optimization of mammography: an update." In Medical Imaging 1994, edited by Rodney Shaw. SPIE, 1994. http://dx.doi.org/10.1117/12.174244.

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2

Ma, Bo, Chienliu Chang, Huseyin Kagan Oguz, Kamyar Firouzi, and Butrus T. Khuri-Yakub. "Multiparameter optimization of vented CMUTs for airborne applications." In 2017 IEEE International Ultrasonics Symposium (IUS). IEEE, 2017. http://dx.doi.org/10.1109/ultsym.2017.8091604.

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3

Januszkiewicz, Lukasz, Slawomir Hausman, Lukasz Jopek, and Paolo Di Barba. "Hierarchical multiparameter optimization of dual-band wearable antenna." In 2017 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering (ISEF). IEEE, 2017. http://dx.doi.org/10.1109/isef.2017.8090667.

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4

de Almeida, Breno Vincenzo, and Renato Pavanello. "PIEZOELECTRIC HARVESTER TOPOLOGY OPTIMIZATION USING A MULTIPARAMETER MATERIAL MODEL." In XXXVIII Iberian-Latin American Congress on Computational Methods in Engineering. Florianopolis, Brazil: ABMEC Brazilian Association of Computational Methods in Engineering, 2017. http://dx.doi.org/10.20906/cps/cilamce2017-0892.

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5

Jafroudi, Hamid, Robert J. Jennings, E. P. Muntz, Matthew T. Freedman, and Seong K. Mun. "Multiparameter optimization of mammography with alternative x-ray sources." In Medical Imaging 1995, edited by Richard L. Van Metter and Jacob Beutel. SPIE, 1995. http://dx.doi.org/10.1117/12.208329.

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6

Chen, Guanbo, and Mahta Moghaddam. "GPU accelerated 3D nonlinear time domain inversion of realistic breast phantoms with multiparameter optimization." In 2013 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium). IEEE, 2013. http://dx.doi.org/10.1109/usnc-ursi.2013.6715512.

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7

Toteff, Jens, and Miguel Asuaje Tovar. "Design and Multiparameter Optimization of Jet-Pumps in a Pipeline Loops Using CFD Tools." In ASME 2018 5th Joint US-European Fluids Engineering Division Summer Meeting. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/fedsm2018-83440.

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Despite their low efficiency compared with centrifugal pumps, jet-pumps are highly reliable robust equipment with modest maintenance which is ideal for many applications, mostly in the oil & gas industry. For example, jet-pumps could result attractive compared to other multiphase pump systems in terms of reactivating transport lines of heavy crude oil. Nevertheless, their design method and performance analysis are rarely known in the literature and keep a high experimental component like most of the pumping equipment. Starting with a pump designed by a traditional method, this paper aims to evaluate the effect of multiple geometrical and operational variables that influence the jet-pump performance combining CFD (Computational Fluid Dynamics) simulation and optimization algorithms using commercials software (ANSYS CFX® and PIPEIT® tool). Automatically, the geometric parameters are modified according to the rules of the optimization routines seeking to maximize the flow capacity, respecting restrictions such as energy consumption. A case study is presented for the preliminary design of a pump to boost flow capacity in a trunk line of a heavy oil field. As preliminary design all simulations were carried out using single phase water flow. With this method, it was possible to quickly evaluate around 400 geometries of jet-pumps. The geometry of the optimum final pump is consistent with other pumps reported by other works. This pump enhances the fluid capacity of the line in 17% over the traditional design for the same parameters of power or consumed energy.

8

Allevato, Adam, Mitch Pryor, and Andrea L. Thomaz. "Multiparameter Real-World System Identification Using Iterative Residual Tuning." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22734.

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Abstract In this work we consider the problem of nonlinear system identification, using data to learn multiple and often coupled parameters that allow a simulator to more accurately model a physical system and close the so-called reality gap for more accurate robot control. Our approach uses iterative residual tuning (IRT), a recently-developed derivative-free system identification technique that utilizes neural networks and visual observation to estimate parameter differences between a proposed model and a target model. We develop several modifications to the basic IRT approach and apply it to the system identification of a 5-parameter model of a marble rolling in a robot-controlled labyrinth game mechanism. We validate our technique both in simulation — where we outperform two baselines — and on a real system, where we achieve marble tracking error of 4.02% after just 5 optimization iterations.

9

Lin, Yun-Jeng, and Sherif T. Noah. "Using Genetic Algorithms for the Optimal Design of Fluid Journal Bearing." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/vib-8171.

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Abstract The current methods of designing journal bearings are achieved by trial and error and mathematical programming. A new method is used here to design the journal bearings, i.e., Genetic Algorithms (GA). GA is a very efficient method, providing relatively an easy way to find the optimum solution. For that purpose we need to construct the proper objective function for the design of the journal bearing. Then the rest exhaustive and repeated task could be left to the computer. GA can solve the linear or nonlinear, single parameter or multiparameter system. Genetic Algorithms are very different from the traditional optimization techniques. It is a new generation of artificial intelligence and its principles mimic the behavior of the biologic genes in the natural world. It will search the best set of parameters of the objective function, reproduce them, eliminate unsuitable sets of parameters, cross-couple the survival sets of parameters, execute mutations and then return to plug the values of the new variables into objective function to repeat these procedures. Its execution is simple and could reach the solution in a very short time. According to these characteristics, it is a very powerful method for finding the minimum dissipation of energy in the journal bearing. This approach opens new paradigm for optimization. The GA’s procedure is robust and works even if the functions involve are not continuous and have no derivatives. The resulting set of optimal parameters was compared with the results of a recent paper addressing the same problem.

10

Niffenegger, M., D. F. Mora, and H. Kottmann. "Non-Destructive Evaluation of RPV Embrittlement by Means of the Thermoelectric Power Method." In ASME 2020 Pressure Vessels & Piping Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/pvp2020-21446.

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Abstract Nondestructive evaluation (NDE) methods are widely used for inspecting safety relevant components in nuclear reactors. Most of these NDE-methods are optimized and applied for the detection of cracks but there is still no reliable NDE method for measuring the embrittlement of RPV steels. However, since the evaluation of RPV embrittlement of so-called Surveillance specimens with the Charpy test is a destructive approach, NDE methods are highly required. Among the investigated technics are acoustic (Ultrasonic scattering), electric (resistivity, thermoelectric) and magnetic (Barkhausen Noise, Non-Linear Harmonics Analysis, Micromagnetic Multiparameter) methods. However, all the methods under investigation suffer from the fact that fracture toughness of steel depends upon several factors, especially on lattice defects such as vacancies, dissolved atoms, dislocation loops, solute clusters, precipitates and dislocations. A major obstacle to the application of NDE methods for the quantification of material embrittlement is that they may be not only sensitive to these defects but also to other factors, such as magnetic, acoustic and electrical properties, as well as to surface quality and ambient temperature, etc.). In this paper, we present results gained by the optimization and application of the thermoelectric power method (TEPM) at the Paul Scherrer Institut (PSI) in Switzerland. The TEPM uses the change of the Seebeck coefficient (K) as an indicator for the material embrittlement. A clear almost linear correlation between the shift of the Nil-Ductile-Transition-Temperature (NDTT) and the change of the K was found. Beside the TEPM and its optimization with the finite element method, we describe the influencing parameters and the potential of this promising NDE method.