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Letteratura scientifica selezionata sul tema "Matrix coefficients"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 10 febbraio 2022

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Articoli di riviste sul tema "Matrix coefficients"

1

Kholkin, A. M., and F. S. Rofe-Beketov. "On Spectrum of Differential Operator with Block-Triangular Matrix Coefficients." Zurnal matematiceskoj fiziki, analiza, geometrii 10, no. 1 (March 25, 2014): 44–63. http://dx.doi.org/10.15407/mag10.01.044.

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2

Gollwitzer, Herman. "Matrix Patterns and Undetermined Coefficients." College Mathematics Journal 25, no. 5 (November 1994): 444. http://dx.doi.org/10.2307/2687511.

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Gollwitzer, Herman. "Matrix Patterns and Undetermined Coefficients." College Mathematics Journal 25, no. 5 (November 1994): 444–48. http://dx.doi.org/10.1080/07468342.1994.11973650.

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4

Szpruch, Dani. "On Shahidi local coefficients matrix." manuscripta mathematica 159, no. 1-2 (July 7, 2018): 117–59. http://dx.doi.org/10.1007/s00229-018-1052-x.

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5

Sun, Binyong. "Matrix coefficients of cohomologically induced representations." Compositio Mathematica 143, no. 01 (January 2007): 201–21. http://dx.doi.org/10.1112/s0010437x06002508.

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6

Arteaga, Oriol, Enric Garcia-Caurel, and Razvigor Ossikovski. "Anisotropy coefficients of a Mueller matrix." Journal of the Optical Society of America A 28, no. 4 (March 11, 2011): 548. http://dx.doi.org/10.1364/josaa.28.000548.

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7

Steenge, Albert E., and Rachel C. Reyes. "Return of the capital coefficients matrix." Economic Systems Research 32, no. 4 (February 28, 2020): 439–50. http://dx.doi.org/10.1080/09535314.2020.1731682.

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8

Heijungs, Reinout. "Sensitivity coefficients for matrix-based LCA." International Journal of Life Cycle Assessment 15, no. 5 (February 20, 2010): 511–20. http://dx.doi.org/10.1007/s11367-010-0158-5.

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9

Duran, Antonio J., and Mourad E. H. Ismail. "Differential coefficients of orthogonal matrix polynomials." Journal of Computational and Applied Mathematics 190, no. 1-2 (June 2006): 424–36. http://dx.doi.org/10.1016/j.cam.2005.02.019.

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10

Apfeldorf, Karyn M. "Multi-matrix models from jet coefficients." Nuclear Physics B 360, no. 2-3 (August 1991): 480–506. http://dx.doi.org/10.1016/0550-3213(91)90412-q.

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Più fonti

Tesi sul tema "Matrix coefficients"

1

Sun, Binyong. "Matrix coefficients and representations of real reductive groups /." View abstract or full-text, 2004. http://library.ust.hk/cgi/db/thesis.pl?MATH%202004%20SUN.

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2

El-Bordany, Refaat. "In orbit calibration of satellite inertia matrix and thruster coefficients." Thesis, University of Surrey, 2001. http://epubs.surrey.ac.uk/842840/.

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In this research study, several new in-orbit algorithms are proposed to improve the performance of Attitude Determination and Control System (ADCS) by estimating the inertia matrix and calibrating the cold gas thruster system of the UoSAT-12 spacecraft. Computer-based simulation models will be constructed using MATLAB and SIMULINK in order to evaluate the expected performance. The first focus is on the identification of the satellite inertia matrix. A new algorithm based on a Recursive Least Square (RLS) estimation technique is proposed for in-orbit use to estimate the inertia matrix (moments and products of inertia parameters) of a satellite. To facilitate this, one attitude axis is disturbed using a reaction wheel whilst the other two axes are controlled to keep their respective angular" rates small. Within a fraction of an orbit three components of the inertia matrix can be accurately determined. This procedure is then repeated for the other two axes to obtain all nine elements of the inertia matrix. The procedure is designed to prevent the build up of momentum in the reaction wheels, whilst keeping the attitude disturbance to the satellite within acceptable limits. It can also overcome potential errors introduced by unmodeled external disturbance torques and attitude sensor noise. The second focus is on a new algorithm for in-orbit use to calibrate thruster coefficients for thrust level and alignment, using three reaction wheel actuators. These algorithms will ensure robustness against modeling errors. The algorithms assume no prior knowledge of the thruster parameters and only an initial guess of the inertia matrix. It is proposed that this calibration can be used during normal mission conditions when the satellite is stabilised. The final goal of this research study was to apply the proposed algorithms in real-time. Firstly, the thruster calibration algorithm was tested on an air-bearing table. Finally, both thruster calibration and moment of inertia algorithms were tested using data generated by UoSAT-12 while in orbit. The practical estimation results proved the feasibility of proposed algorithms.

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3

Sternini, Simone. "On the identification of bridge decks aeroelastic coefficients: the covariance block hankel matrix method." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amslaurea.unibo.it/5999/.

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Il seguente elaborato si concentra sull'identifi�cazione strutturale di sistemi soggetti a sollecitazioni aeroelastiche e nello speci�fico l'attenzione viene rivolta ad impalcati da ponte. Si analizzano i concetti principali caratterizzanti il campo dell'aeroelasticità indagando i fattori dominanti che entrano in gioco sul piano teorico. In seguito, si considera il metodo di identifi�cazione strutturale chiamato Covariance Block Hankel Matrix (CBHM) utilizzato come strumento di derivazione dei coeffi�cienti aeroelastici propri della struttura. Infi�ne, si indaga il comportamento di questo metodo di identi�ficazione al variare di una serie di parametri chiave e all'interno di diversi scenari, visionando risultati ottenuti tramite una serie di test eff�ettuati per provare l'a�dattabilità del metodo stesso al variare delle condizioni che caratterizzano il sistema.

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4

Zhebel, Elena. "A multigrid method with matrix-dependent transfer operators for 3D diffusion problems with jump coefficients." Doctoral thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola&quot, 2009. http://nbn-resolving.de/urn:nbn:de:bsz:105-682918.

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Gegeben sei ein lineares Gleichungssystem $Au = f$ mit Koeffizientenmatrix $A$, welche eine spezielle block-tridiagonale Struktur besitzt. Solche lineare Gleichungssysteme entstehen bei der Diskretisierung dreidimensionaler elliptischer Randwertprobleme mit 7- oder 27-Punkte-Stern. In geophysikalischen Anwedungen, insbesondere bei Aufgaben aus der Geoelektrik, haben die Randwertprobleme unstetige Koeffizienten und sind meistens auf nicht-uniformen Gittern diskretisiert. Klassische geometrische Mehrgitterverfahren konvergieren um so langsamer, je stärker die Koeffizientensprünge ausfallen. Außerdem kann die Konvergenz durch die Variation der Gitterabstände beeinträchtigt werden. Zur Lösung wird ein matrix-abhängiges Mehrgitterverfahren vorgestellt. Als Glätter wird eine unvollständige Block LU-Zerlegung verwendet. Die Gittertransferoperationen werden anhand der Einträge der Matrix $A$ ermittelt. Das resultierende Verfahren erweist sich als sehr robust, insbesondere wenn es als Vorkonditionierung für das Verfahren der konjugierten Gradienten eingesetzt wird.

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5

CHO, Deung-Lyong, Mi-Jung JEEN, and Takenori KATO. "Validation of physical parameters in quantitative electron probe microanalysis (EPMA) Part I : mass attenuation coefficients." Dept. of Earth and Planetary Sciences, Nagoya University, 2013. http://hdl.handle.net/2237/20540.

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6

Kestring, Franciele Buss Frescki. "Análise geoestatística de mapas temáticos da produtividade da soja com diferentes grades amostrais." Universidade Estadual do Oeste do Parana, 2011. http://tede.unioeste.br:8080/tede/handle/tede/359.

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Made available in DSpace on 2017-05-12T14:48:16Z (GMT). No. of bitstreams: 1 Franciele_texto.pdf: 972546 bytes, checksum: 4159555de632249d0c83764a3aecc74c (MD5) Previous issue date: 2011-07-07<br>Studies on spatial variability of soybeans yield are of great importance for the development of new technologies that improve the world agricultural production. One of methods that allows this study is geostatistics. The geostatistical analysis makes possible the predictions of results and one of its products are thematic maps. Thus, this trial describes some techniques to draw and compare thematic maps using kriging. The analysis was based on data from soybean yield in t ha−1 according to harvest year 2004/2005 in an experimental area with sampling grades whose distances were: 25x25 m, 50x50 m, 75x75 m and 100x100 m plus a harvest monitor. The maps were compared using error matrix and confusion matrix. In addition, there was a better accuracy of the spatial variability maps that were drawn, while the analysis of coefficients of accuracy allows a better planning of sampling mesh for future studies. The measures of accuracy that were obtained by error matrix are significant options to make comparison among thematic maps, once they provide global indices and also by classes.<br>Com o aumento da produção agrícola mundial, o processo de produção agrícola tornou-se alvo do estudo de diversos pesquisadores. Estudos sobre a variabilidade espacial da produtividade da soja são de grande importância para o desenvolvimento de novas tecnologias, que beneficiam a agricultura. A análise geoestatística torna possível realizar previsões dos resultados, tendo como um de seus produtos os mapas temáticos. Este trabalho descreve algumas técnicas para a construção e comparação de mapas temáticos, utilizando a krigagem. A análise foi realizada com dados da produtividade de soja em t ha−1 do ano agrícola 2004/2005 numa área experimental com grades de amostragem com distâncias de 25x25 m, 50x50 m, 75x75 m, 100x100 m e monitor de colheita, comparando-se os mapas, utilizando a matriz de erros e a matriz de confusão. Além de uma melhor precisão dos mapas de variabilidade espacial gerados, a análise dos índices de acurácia possibilita um melhor planejamento das malhas amostrais para futuros estudos. As medidas de acurácia obtidas por meio da matriz de erros são opções significativas para realizar a comparação entre mapas temáticos, uma vez que fornecem índices globais e também por classes.

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7

Buenger, Carl D. Buenger. "Quantitative Non-Divergence, Effective Mixing, and Random Walks on Homogeneous Spaces." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1462800914.

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8

Boyer, Adrien. "Sur certains aspects de la propriété RD pour des représentations sur les bords de Poisson-Furstenberg." Thesis, Aix-Marseille, 2014. http://www.theses.fr/2014AIXM4723.

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Nous étudions la propriété RD en terme de décroissance de coefficients matriciels de représentations unitaires. Nous nous concentrons en particulier sur des représentations provenant de l'action des groupes de Lie et de groupes discrets sur un "bord" approprié. Ces actions produisent des rerésentations unitaires à normalisation prés. Nous utilisons des techniques d'analyse harmonique et de théorie ergodique pour amorcer une nouvelle approche de la conjecture de Valette<br>We study property RD in terms of decay of matrix coefficients for unitary representations. We focus our attention on unitary representations arising from action of Lie groups and discrete groups of isometries of a CAT(-1) space on their appropriate boundary. We use some techniques of harmonic analysis, and ergodic theory to start a new approach of Valette's conjecture

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9

Maati, Amel. "Mise en œuvre de formalismes pour la modélisation de grands réseaux périodiques d'antennes." Thesis, Limoges, 2018. http://www.theses.fr/2018LIMO0009/document.

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Cette thèse se place dans le contexte général de la modélisation de réseaux d’antennes de grande taille, avec pour objectif d’atteindre un niveau de précision suffisamment élevé pour permettre une optimisation complète des performances et en particulier une amélioration de l’efficacité énergétique. Partant du constat que l’optimisation électromagnétique de grands réseaux représente un verrou si les couplages doivent être modélisés efficacement, cette thèse propose la mise en œuvre d’une méthode permettant la modélisation fine de grands réseaux d'antennes tout en réduisant les temps de calcul et en conservant un haut degré de précision. L'objectif est de montrer qu'une approche dérivée des formalismes périodiques infinis connus de la littérature permet d'obtenir une matrice [S] complète d'un réseau depuis l'étude d'une cellule unitaire. Après avoir présenté un état de l'art sur les réseaux d'antennes et leurs méthodes d'analyse, l'approche de modélisation proposée est détaillée. Des véhicules de test numériques et expérimentaux, permettant de valider cette méthode de modélisation, sont ensuite réalisés. L'approche est enfin utilisée avec succès pour deux types d'application<br>This thesis is organized in the general context of modeling a large antenna arrays with the aim of achieving a high level of precision. This modeling allows a complete optimization of the performances and an enhancement of the energy efficiency. Given that the electromagnetic optimization of large arrays still represents a challenge if the mutual coupling is not efficiently modeled. This work offers the implementation of a method allowing the precise modeling of large antenna arrays while reducing the computation time and maintaining a high degree of precision. The aim is to demonstrate that the derived approach from the infinite periodic formalisms makes it possible to obtain a full [S] matrix of an array based on the study of a unit cell. After presenting a state of the art of antenna arrays and their methods of analysis, the proposed modeling approach is explained. Numerical and Experimental demonstrators are then made for the validation. Finally, this method is successfully used for two types of applications

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10

Matta, Sandrine. "Propagation des ondes acoustiques dans une multicouche composée de couches viscoélastiques liquides, solides et poreuses." Thesis, Valenciennes, 2018. http://www.theses.fr/2018VALE0035/document.

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Cette thèse propose un formalisme général pour modéliser la propagation des ondes acoustiques dans une multicouche composée de toute combinaison de couches liquides, solides élastiques isotropes et poro-élastiques isotropes, la méthode ayant la flexibilité d'être développée pour inclure d'autres natures de couches. Dans un premier lieu, un algorithme stable est développé, basé sur l'approche récursive de la matrice de rigidité, pour modéliser la propagation d'une onde plane incidente sur la multicouche en fonction de son angle d'incidence et de sa fréquence. Cet algorithme fusionne de manière récursive les matrices de rigidité des couches individuelles de la structure en une matrice de rigidité totale et permet ensuite le calcul des coefficients de réflexion et de transmission, ainsi que les composantes de déplacement et de contrainte à l'intérieur de la multicouche pour chaque direction d'incidence des ondes planes. Deuxièmement, pour modéliser la propagation d'un faisceau délimité d'ondes incidentes, la technique du spectre angulaire est utilisée, basée sur la décomposition de ce faisceau en un spectre d'ondes planes se propageant dans des directions différentes. Par la suite, le faisceau d'onde réfléchi dans le milieu d'incidence et le faisceau d'onde transmis dans le milieu de transmission, ainsi que la distribution des champs (composantes de déplacement et de contrainte) à l'intérieur de la multicouche sont obtenus en superposant la contribution de toutes les ondes planes se propageant dans les différentes directions. Comme application numérique, une tri-couche solide-poreuse-solide immergée dans l'eau est simulée. La réflexion et la transmission qui en résultent, ainsi que les composantes de déplacement et de contrainte dans la multicouche, correspondants à l’onde plane incidente et au faisceau limité incident, révèlent la stabilité du procédé et la continuité des déplacements et des contraintes aux interfaces<br>This thesis proposes a general formalism to model the acoustic wave propagation in a multilayer consisting of any combination of fluid, isotropic elastic solid, and isotropic poroelastic layers, the method having the flexibility to be extended to include other layer-natures. At a first stage, a stable algorithm is developed, based on the recursive stiffness matrix approach, to model the propagation of a plane wave incident on the multilayer as a function of its incidence angle and frequency. This algorithm merges recursively the structureindividual layers stiffness matrices into one total stiffness matrix and allows then the calculation of the reflection and transmission coefficients, as well as the displacement and stress components inside the multilayer for every incident plane wave direction. Secondly, to model the propagation of a bounded incident wave beam, the angular spectrum technique is used which is based on the decomposition of this beam into a spectrum of plane waves traveling in different directions. The corresponding reflected wave beam in the incidence medium, and the transmitted wave beam in the transmission medium, as well as the fields distributions (displacement and stress components) inside the multilayer are obtained by summing the contribution of all the plane waves traveling in different directions. As a numerical application, a three-layered solid-porous-solid structure immersed in water is simulated. The resulting reflection and transmission as well as the displacement and stress components in the multilayer corresponding to both, the incident plane wave in different directions and the incident bounded beam reveal the stability of the method and the continuity of the displacements and stresses at the interfaces

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Più fonti

Libri sul tema "Matrix coefficients"

1

Handbook of structural and mechanical matrices: Definitions, transport matrices, stiffness matrices, finite differences, finite elements, graphs and tables of matrix coefficients. New York: McGraw-Hill, 1988.

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2

Goodyer, M. J. Derivation of jack movement influence coefficients as a basis for selecting wall contours giving reduced levels of interference in flexible walled test sections. Hampton, VA: National Aeronautics and Space Administration, Langley Research Center, 1985.

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3

Attfield, C. L. F. Testing the rank of a coefficient matrix. Bristol: University of Bristol, Department of Economics, 1995.

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4

An examination and assessment of available incoherent scattering S-Matrix theory, also compton profile information, and their impact on photon attenuation coefficient compilations. Gaithersburg, MD (100 Bureau Drive, Gaithersburg 20899-8463): U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.

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5

National Institute of Standards and Technology (U.S.), ed. An examination and assessment of available incoherent scattering S-Matrix theory, also compton profile information, and their impact on photon attenuation coefficient compilations. Gaithersburg, MD (100 Bureau Drive, Gaithersburg 20899-8463): U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.

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6

National Institute of Standards and Technology (U.S.), ed. An examination and assessment of available incoherent scattering S-Matrix theory, also compton profile information, and their impact on photon attenuation coefficient compilations. Gaithersburg, MD (100 Bureau Drive, Gaithersburg 20899-8463): U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.

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7

Skiba, Grzegorz. Fizjologiczne, żywieniowe i genetyczne uwarunkowania właściwości kości rosnących świń. The Kielanowski Institute of Animal Physiology and Nutrition, Polish Academy of Sciences, 2020. http://dx.doi.org/10.22358/mono_gs_2020.

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Abstract (sommario):

Bones are multifunctional passive organs of movement that supports soft tissue and directly attached muscles. They also protect internal organs and are a reserve of calcium, phosphorus and magnesium. Each bone is covered with periosteum, and the adjacent bone surfaces are covered by articular cartilage. Histologically, the bone is an organ composed of many different tissues. The main component is bone tissue (cortical and spongy) composed of a set of bone cells and intercellular substance (mineral and organic), it also contains fat, hematopoietic (bone marrow) and cartilaginous tissue. Bones are a tissue that even in adult life retains the ability to change shape and structure depending on changes in their mechanical and hormonal environment, as well as self-renewal and repair capabilities. This process is called bone turnover. The basic processes of bone turnover are: • bone modeling (incessantly changes in bone shape during individual growth) following resorption and tissue formation at various locations (e.g. bone marrow formation) to increase mass and skeletal morphology. This process occurs in the bones of growing individuals and stops after reaching puberty • bone remodeling (processes involve in maintaining bone tissue by resorbing and replacing old bone tissue with new tissue in the same place, e.g. repairing micro fractures). It is a process involving the removal and internal remodeling of existing bone and is responsible for maintaining tissue mass and architecture of mature bones. Bone turnover is regulated by two types of transformation: • osteoclastogenesis, i.e. formation of cells responsible for bone resorption • osteoblastogenesis, i.e. formation of cells responsible for bone formation (bone matrix synthesis and mineralization) Bone maturity can be defined as the completion of basic structural development and mineralization leading to maximum mass and optimal mechanical strength. The highest rate of increase in pig bone mass is observed in the first twelve weeks after birth. This period of growth is considered crucial for optimizing the growth of the skeleton of pigs, because the degree of bone mineralization in later life stages (adulthood) depends largely on the amount of bone minerals accumulated in the early stages of their growth. The development of the technique allows to determine the condition of the skeletal system (or individual bones) in living animals by methods used in human medicine, or after their slaughter. For in vivo determination of bone properties, Abstract 10 double energy X-ray absorptiometry or computed tomography scanning techniques are used. Both methods allow the quantification of mineral content and bone mineral density. The most important property from a practical point of view is the bone’s bending strength, which is directly determined by the maximum bending force. The most important factors affecting bone strength are: • age (growth period), • gender and the associated hormonal balance, • genotype and modification of genes responsible for bone growth • chemical composition of the body (protein and fat content, and the proportion between these components), • physical activity and related bone load, • nutritional factors: – protein intake influencing synthesis of organic matrix of bone, – content of minerals in the feed (CA, P, Zn, Ca/P, Mg, Mn, Na, Cl, K, Cu ratio) influencing synthesis of the inorganic matrix of bone, – mineral/protein ratio in the diet (Ca/protein, P/protein, Zn/protein) – feed energy concentration, – energy source (content of saturated fatty acids - SFA, content of polyun saturated fatty acids - PUFA, in particular ALA, EPA, DPA, DHA), – feed additives, in particular: enzymes (e.g. phytase releasing of minerals bounded in phytin complexes), probiotics and prebiotics (e.g. inulin improving the function of the digestive tract by increasing absorption of nutrients), – vitamin content that regulate metabolism and biochemical changes occurring in bone tissue (e.g. vitamin D3, B6, C and K). This study was based on the results of research experiments from available literature, and studies on growing pigs carried out at the Kielanowski Institute of Animal Physiology and Nutrition, Polish Academy of Sciences. The tests were performed in total on 300 pigs of Duroc, Pietrain, Puławska breeds, line 990 and hybrids (Great White × Duroc, Great White × Landrace), PIC pigs, slaughtered at different body weight during the growth period from 15 to 130 kg. Bones for biomechanical tests were collected after slaughter from each pig. Their length, mass and volume were determined. Based on these measurements, the specific weight (density, g/cm3) was calculated. Then each bone was cut in the middle of the shaft and the outer and inner diameters were measured both horizontally and vertically. Based on these measurements, the following indicators were calculated: • cortical thickness, • cortical surface, • cortical index. Abstract 11 Bone strength was tested by a three-point bending test. The obtained data enabled the determination of: • bending force (the magnitude of the maximum force at which disintegration and disruption of bone structure occurs), • strength (the amount of maximum force needed to break/crack of bone), • stiffness (quotient of the force acting on the bone and the amount of displacement occurring under the influence of this force). Investigation of changes in physical and biomechanical features of bones during growth was performed on pigs of the synthetic 990 line growing from 15 to 130 kg body weight. The animals were slaughtered successively at a body weight of 15, 30, 40, 50, 70, 90, 110 and 130 kg. After slaughter, the following bones were separated from the right half-carcass: humerus, 3rd and 4th metatarsal bone, femur, tibia and fibula as well as 3rd and 4th metatarsal bone. The features of bones were determined using methods described in the methodology. Describing bone growth with the Gompertz equation, it was found that the earliest slowdown of bone growth curve was observed for metacarpal and metatarsal bones. This means that these bones matured the most quickly. The established data also indicate that the rib is the slowest maturing bone. The femur, humerus, tibia and fibula were between the values of these features for the metatarsal, metacarpal and rib bones. The rate of increase in bone mass and length differed significantly between the examined bones, but in all cases it was lower (coefficient b <1) than the growth rate of the whole body of the animal. The fastest growth rate was estimated for the rib mass (coefficient b = 0.93). Among the long bones, the humerus (coefficient b = 0.81) was characterized by the fastest rate of weight gain, however femur the smallest (coefficient b = 0.71). The lowest rate of bone mass increase was observed in the foot bones, with the metacarpal bones having a slightly higher value of coefficient b than the metatarsal bones (0.67 vs 0.62). The third bone had a lower growth rate than the fourth bone, regardless of whether they were metatarsal or metacarpal. The value of the bending force increased as the animals grew. Regardless of the growth point tested, the highest values were observed for the humerus, tibia and femur, smaller for the metatarsal and metacarpal bone, and the lowest for the fibula and rib. The rate of change in the value of this indicator increased at a similar rate as the body weight changes of the animals in the case of the fibula and the fourth metacarpal bone (b value = 0.98), and more slowly in the case of the metatarsal bone, the third metacarpal bone, and the tibia bone (values of the b ratio 0.81–0.85), and the slowest femur, humerus and rib (value of b = 0.60–0.66). Bone stiffness increased as animals grew. Regardless of the growth point tested, the highest values were observed for the humerus, tibia and femur, smaller for the metatarsal and metacarpal bone, and the lowest for the fibula and rib. Abstract 12 The rate of change in the value of this indicator changed at a faster rate than the increase in weight of pigs in the case of metacarpal and metatarsal bones (coefficient b = 1.01–1.22), slightly slower in the case of fibula (coefficient b = 0.92), definitely slower in the case of the tibia (b = 0.73), ribs (b = 0.66), femur (b = 0.59) and humerus (b = 0.50). Bone strength increased as animals grew. Regardless of the growth point tested, bone strength was as follows femur > tibia > humerus > 4 metacarpal> 3 metacarpal> 3 metatarsal > 4 metatarsal > rib> fibula. The rate of increase in strength of all examined bones was greater than the rate of weight gain of pigs (value of the coefficient b = 2.04–3.26). As the animals grew, the bone density increased. However, the growth rate of this indicator for the majority of bones was slower than the rate of weight gain (the value of the coefficient b ranged from 0.37 – humerus to 0.84 – fibula). The exception was the rib, whose density increased at a similar pace increasing the body weight of animals (value of the coefficient b = 0.97). The study on the influence of the breed and the feeding intensity on bone characteristics (physical and biomechanical) was performed on pigs of the breeds Duroc, Pietrain, and synthetic 990 during a growth period of 15 to 70 kg body weight. Animals were fed ad libitum or dosed system. After slaughter at a body weight of 70 kg, three bones were taken from the right half-carcass: femur, three metatarsal, and three metacarpal and subjected to the determinations described in the methodology. The weight of bones of animals fed aa libitum was significantly lower than in pigs fed restrictively All bones of Duroc breed were significantly heavier and longer than Pietrain and 990 pig bones. The average values of bending force for the examined bones took the following order: III metatarsal bone (63.5 kg) <III metacarpal bone (77.9 kg) <femur (271.5 kg). The feeding system and breed of pigs had no significant effect on the value of this indicator. The average values of the bones strength took the following order: III metatarsal bone (92.6 kg) <III metacarpal (107.2 kg) <femur (353.1 kg). Feeding intensity and breed of animals had no significant effect on the value of this feature of the bones tested. The average bone density took the following order: femur (1.23 g/cm3) <III metatarsal bone (1.26 g/cm3) <III metacarpal bone (1.34 g / cm3). The density of bones of animals fed aa libitum was higher (P<0.01) than in animals fed with a dosing system. The density of examined bones within the breeds took the following order: Pietrain race> line 990> Duroc race. The differences between the “extreme” breeds were: 7.2% (III metatarsal bone), 8.3% (III metacarpal bone), 8.4% (femur). Abstract 13 The average bone stiffness took the following order: III metatarsal bone (35.1 kg/mm) <III metacarpus (41.5 kg/mm) <femur (60.5 kg/mm). This indicator did not differ between the groups of pigs fed at different intensity, except for the metacarpal bone, which was more stiffer in pigs fed aa libitum (P<0.05). The femur of animals fed ad libitum showed a tendency (P<0.09) to be more stiffer and a force of 4.5 kg required for its displacement by 1 mm. Breed differences in stiffness were found for the femur (P <0.05) and III metacarpal bone (P <0.05). For femur, the highest value of this indicator was found in Pietrain pigs (64.5 kg/mm), lower in pigs of 990 line (61.6 kg/mm) and the lowest in Duroc pigs (55.3 kg/mm). In turn, the 3rd metacarpal bone of Duroc and Pietrain pigs had similar stiffness (39.0 and 40.0 kg/mm respectively) and was smaller than that of line 990 pigs (45.4 kg/mm). The thickness of the cortical bone layer took the following order: III metatarsal bone (2.25 mm) <III metacarpal bone (2.41 mm) <femur (5.12 mm). The feeding system did not affect this indicator. Breed differences (P <0.05) for this trait were found only for the femur bone: Duroc (5.42 mm)> line 990 (5.13 mm)> Pietrain (4.81 mm). The cross sectional area of the examined bones was arranged in the following order: III metatarsal bone (84 mm2) <III metacarpal bone (90 mm2) <femur (286 mm2). The feeding system had no effect on the value of this bone trait, with the exception of the femur, which in animals fed the dosing system was 4.7% higher (P<0.05) than in pigs fed ad libitum. Breed differences (P<0.01) in the coross sectional area were found only in femur and III metatarsal bone. The value of this indicator was the highest in Duroc pigs, lower in 990 animals and the lowest in Pietrain pigs. The cortical index of individual bones was in the following order: III metatarsal bone (31.86) <III metacarpal bone (33.86) <femur (44.75). However, its value did not significantly depend on the intensity of feeding or the breed of pigs.

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The main objective of this project is to be produce copper reinforced metal matrix composite (MMC) layers using micron sized AlN particles via friction stir processing (FSP) in order to enhance surface mechanical properties. Micro structural evaluation using Optical Microscopy (OM) and Scanning Electron Microscopy (SEM) indicated that an increase in traverse speed and a decrease in rotational speed cause a reduction in the grain size of different groove width (0,0.4,0.8,1.2 mm) of stir zone (SZ) for the specimens friction stir processed (FSPed) without AlN particles. It was found that upon addition of AlN particles, wear properties were improved. This behavior was further supported by SEM images of wear surfaces. Results demonstrated that the micro composite produced by FSP exhibited enhanced wear resistance and higher average friction coefficient in comparison with pure copper. Tensile properties and fracture characteristics of the specimens FSPed with and without AlN particles and pure copper were also evaluated. According to the results, the MMC layer produced by FSP showed higher strength and lower elongation than pure copper while a remarkable elongation was observed for FSPed specimen without AlN particles and been greatly developed by the use of AlN. Association of Scientists, Developers and Faculties, 2016.

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Capitoli di libri sul tema "Matrix coefficients"

1

Jevtić, Miroljub, Dragan Vukotić, and Miloš Arsenović. "The Hilbert Matrix Operator." In Taylor Coefficients and Coefficient Multipliers of Hardy and Bergman-Type Spaces, 293–316. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45644-7_14.

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2

Sauter, Stefan A., and Christoph Schwab. "Generating the Matrix Coefficients." In Boundary Element Methods, 289–352. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68093-2_5.

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3

Howe, Roger, and Eng Chye Tan. "Asymptotics of Matrix Coefficients." In Non-Abelian Harmonic Analysis, 203–42. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4613-9200-2_5.

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4

Burke, Philip G. "Clebsch–Gordan and Racah Coefficients." In R-Matrix Theory of Atomic Collisions, 607–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15931-2_13.

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5

Krupnik, Naum Yakovlevich. "Singular Integral Operators with Matrix Coefficients." In Operator Theory: Advances and Applications, 67–90. Basel: Birkhäuser Basel, 1987. http://dx.doi.org/10.1007/978-3-0348-5463-4_3.

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6

Fell, David A., Herbert M. Sauro, and J. Rankin Small. "Control Coefficients and the Matrix Method." In Control of Metabolic Processes, 139–48. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4757-9856-2_10.

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7

Martins, Fernando, Edgar Pereira, M. A. Facas Vicente, and José Vitória. "Stability of Matrix Differential Equations with Commuting Matrix Constant Coefficients." In Mathematical Methods in Engineering, 97–107. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-7183-3_9.

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Gilbert, Alexander D., Ivan G. Graham, Robert Scheichl, and Ian H. Sloan. "Bounding the Spectral Gap for an Elliptic Eigenvalue Problem with Uniformly Bounded Stochastic Coefficients." In 2018 MATRIX Annals, 29–43. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38230-8_3.

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9

Lakshminarayanan, V., and S. Varadharajan. "Calculation of Aberration Coefficients: A Matrix Method." In Documenta Ophthalmologica Proceedings Series, 111–14. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5698-1_15.

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Hines, Benjamin, Yuriy Kuleshov, and Guoqi Qian. "Spatial Modelling of Linear Regression Coefficients for Gauge Measurements Against Satellite Estimates." In 2019-20 MATRIX Annals, 217–34. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62497-2_11.

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Atti di convegni sul tema "Matrix coefficients"

1

Yuan, J. Y., D. Coombe, D. H. S. Law, and A. Babchin. "Determination of the Relative Permeability Matrix Coefficients." In Canadian International Petroleum Conference. Petroleum Society of Canada, 2001. http://dx.doi.org/10.2118/2001-002.

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2

Guo, Xiao-Bin, and Zeng-Tai Gong. "Undetermined coefficients method for solving semi-fuzzy matrix equations." In 2010 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2010. http://dx.doi.org/10.1109/icmlc.2010.5580544.

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3

Sanchez, L. E. U., H. M. P. Meana, and M. N. Miyatake. "Wavelet image compression using universal coefficients matrix detail estimation." In 14th International Conference on Electronics, Communications and Computers, 2004. CONIELECOMP 2004. IEEE, 2004. http://dx.doi.org/10.1109/icecc.2004.1269586.

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4

Knežević, Marin, Vedran Krčadinac, and Lucija Relić. "Matrix products of binomial coefficients and unsigned Stirling numbers." In 3rd Croatian Combinatorial Days. Faculty of Civil Engineering, University of Zagreb, 2021. http://dx.doi.org/10.5592/co/ccd.2020.04.

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Li Xie, Huizhong Yang, Yanjun Liu, and Feng Ding. "Iterative solutions for general coupled matrix equations with real coefficients." In 2011 American Control Conference. IEEE, 2011. http://dx.doi.org/10.1109/acc.2011.5991200.

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Pustovoy, E. A., and O. A. Pystovaya. "Management of neural networks using the spatial matrix of coefficients." In 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS). IEEE, 2017. http://dx.doi.org/10.1109/icecds.2017.8389930.

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Xie, Jinsen, and Tao Yu. "Analysis of Isotopic Contributions to Doppler Coefficients of Inert Matrix Fuels." In 2014 22nd International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/icone22-30620.

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Abstract (sommario):

The Minor Actinides (MA) generated by nowadays PWRs fleet has significant impact on environment and biosphere. Inert Matrix Fuels (IMF) is a possible way to reduce the production and hazard of MA in recent. From neutronic aspect, using the MCNP code with temperature related continuous neutron data, the present paper analyses the isotopic contributions to the Doppler Coefficients of certain types IMF fuels. It is concluded that, the Doppler Coefficients of Al2O3+ZrO2+MgO and ZrO2 based IMF fuels are much smaller than those containing ThO2, since the low neutron absorptions and lacking of resonance broadening of Al, Zr, Mg and O elements. For the same Inert Matrix, Reactor Grade Plutonium (RG-Pu) IMF fuels have more negative Doppler Coefficients than Weapon Grade Plutonium (WG-Pu) IMF fuels, which induce by the more abundance of resonance isotopes 240Pu, 242Pu in RG-Pu. Since the different neutron absorption cross-section profiles, the Er2O3 burnable poison has negative contribution to the Doppler Coefficient, however 10B, a typical 1/v absorber, is on the contrary way.

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Shridhar, R., and D. J. Cooper. "Selection of the move suppression coefficients in tuning dynamic matrix control." In Proceedings of 16th American CONTROL Conference. IEEE, 1997. http://dx.doi.org/10.1109/acc.1997.611897.

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Xu, Haisheng, and Wenyun Gao. "MISL-based colocated MIMO radar waveform coefficients matrix design for beampattern matching." In 2016 8th International Conference on Wireless Communications & Signal Processing (WCSP). IEEE, 2016. http://dx.doi.org/10.1109/wcsp.2016.7752475.

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Park, Jong Sam, and Boo Hee Nam. "A blind watermarking using data matrix and changing coefficients in wavelet domain." In International Workshop and Conference on Photonics and Nanotechnology 2007, edited by Minoru Sasaki, Gisang Choi Sang, Zushu Li, Ryojun Ikeura, Hyungki Kim, and Fangzheng Xue. SPIE, 2007. http://dx.doi.org/10.1117/12.784035.

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Rapporti di organizzazioni sul tema "Matrix coefficients"

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Telfeyan, Katherine Christina, Stuart Douglas Ware, Paul William Reimus, and Kay Hanson Birdsell. Comparison of Experimental Methods for Estimating Matrix Diffusion Coefficients for Contaminant Transport Modeling. Office of Scientific and Technical Information (OSTI), November 2017. http://dx.doi.org/10.2172/1407916.

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2

H. Liu, Q. Zhou, and Y. Zhang. POTENTIAL SCALE DEPENDENCE OF EFFECTIVE MATRIX DIFFUSION COEFFICIENT. Office of Scientific and Technical Information (OSTI), March 2006. http://dx.doi.org/10.2172/886038.

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3

H.H. Liu and Y. Zhang. Scale Dependence of Effective Matrix Diffusion Coefficient Evidence and Preliminary Interpertation. Office of Scientific and Technical Information (OSTI), June 2006. http://dx.doi.org/10.2172/893877.

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4

Q. Zhou, Hui-Hai Liu, F.J. Molz, Y. Zhang, and G.S. Bodvarsson. FIELD-SCALE EFFECTIVE MATRIX DIFFUSION COEFFICIENT FOR FRACTURED ROCK:RESULTS FROM LITERATURE SURVEY. Office of Scientific and Technical Information (OSTI), April 2005. http://dx.doi.org/10.2172/859193.

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Y. Zhang, H. Liu, Q. Zhou, and S. Finsterle. HOW DUAL-SCALE DIFFUSIVE PROPERTY HETEROGENEITY AFFECTS EFFECTIVE MATRIX DIFFUSION COEFFICIENT IN FRACTURED ROCK. Office of Scientific and Technical Information (OSTI), September 2005. http://dx.doi.org/10.2172/884925.

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Hubbell, J. H. An examination and assessment of available incoherent scattering s-matrix theory, also compton profile information, and their impact on photon attenuation coefficient compilations. Gaithersburg, MD: National Institute of Standards and Technology, 1999. http://dx.doi.org/10.6028/nist.ir.6358.

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