Matrices Research Papers - Academia.edu (original) (raw)

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El propósito de este Cuaderno es detallar aspectos dinámicos e interactivos propios del análisis de datos cualitativos. El lector no encontrará en este Cuaderno únicamente aportes teórico-metodológicos sobre el proceso de análisis de los... more

El propósito de este Cuaderno es detallar aspectos dinámicos e interactivos propios del análisis de datos cualitativos. El lector no encontrará en este Cuaderno únicamente aportes teórico-metodológicos sobre el proceso de análisis de los datos, sino también ejemplos detallados provenientes de nuestras propias experiencias de investigación en diversos proyectos que desarrollamos con sede en el Instituto de Investigaciones Gino Germani de la Facultad de Ciencias Sociales de la UBA. A través de ejemplos concretos buscamos dar cuenta del carácter no lineal del proceso de análisis cualitativo, y cómo éste se lleva a cabo en relación estrecha con las preguntas de investigación, la perspectiva conceptual y los métodos de investigación seleccionados. Estos aspectos del diseño son discutidos en el Capítulo 1. Los ejemplos incluidos en los Capítulos 2 y 3 permitirán a los lectores acceder a los procesos y decisiones que fueron tomando los investigadores al codificar y recodificar los datos, así como su experiencia en el armado de distintos tipos de despliegues visuales. La inclusión de ejemplos de investigaciones propias tiene además el propósito de dejar en claro que las estrategias y herramientas para el análisis cualitativo tienen que ser elaboradas ad-hoc para cada estudio particular.

La Universidad es fuente inagotable de producción de conocimiento para el desarrollo de la ciencia y la tecnología en el país, el diseño y creación de aplicaciones del área de computación y matemática requieren de una gran dedicación para... more

La Universidad es fuente inagotable de producción de conocimiento para el desarrollo de la ciencia y la tecnología en el país, el diseño y creación de aplicaciones del área de computación y matemática requieren de una gran dedicación para el diseño, edición, simplificación, validación, y reutilización de código para la resolución de problemas que por su complejidad y extensión requieren de bibliotecas de métodos para facilitar la creación y mantenimiento de paquetes de aplicaciones con un mayor alcance en el área de estudio. Este trabajo tiene como objetivo, desarrollar una biblioteca de clases en java, para resolver problemas de computación y álgebra matricial mediante el uso de arreglos bidimensionales, que atienda a las necesidades de los docentes, investigadores y estudiantes de la Facultad de Ingeniería de la Universidad de Carabobo, como una ayuda para el desarrollo de aplicaciones tomando como base el empleo de arreglos bidimensionales. Los rasgos importantes se determinaron a partir de fuentes tanto primarias como secundarias, que incluyeron, la observación directa y la aplicación de un instrumento de recolección de datos. Se utilizó un cuestionario estructurado con escala tipo Likert, para evaluar los aspectos que definen a la percepción que tiene el estudiante acerca de la implementación de los arreglos para la resolución de problemas prácticos de la ingeniería y la opinión de expertos en el área. Finalmente, esta investigación, busca definir las actividades básicas de programación de uso en la ingeniería para que la biblioteca, se pueda integrar como una herramienta de colaboración en la enseñanza por parte del profesorado y adicionalmente provea facilidades para futuros trabajos de investigación.

In this study, we define the Jacobsthal Lucas E-matrix and R-matrix alike to the Fibonacci Q-matrix. Using this matrix representation we have found some equalities and Binet-like formula for the Jacobsthal and Jacobsthal-Lucas numbers.

The relative proportions of genetically distinct collagen types in connective tissues vary with tissue type and change during disease progression, development, wound healing, aging. This study aims to 1) characterize the spectro-temporal... more

The relative proportions of genetically distinct collagen types in connective tissues vary with tissue type and change during disease progression, development, wound healing, aging. This study aims to 1) characterize the spectro-temporal fluorescence emission of fiber different types ...

In this paper, we will focus on the Spatial Gray Level Dependence Matrices SGLDM to extract the Haralick's texture features of the ultrasound breast lesions. This method relies on the manual selection of the region of interest, which... more

In this paper, we will focus on the Spatial Gray Level Dependence Matrices SGLDM to extract the Haralick's texture features of the ultrasound breast lesions. This method relies on the manual selection of the region of interest, which results in the dependence of parameters values on the extracted region. For that reason, an improved Spatial Gray Level Dependence Matrices based on the segmented masses using active contour was applied. This method outperforms the existing SGLDM method because it allows establishing a well determined threshold for the classification of lesions.

Esta es una breve explicación del método de Gradiente Hidráulico propuesta por Todini y Pilati (1987), mediante la programación en el Lenguaje PYTHON 3.X, con el fin de compartirles y expandir el conocimiento sobre la programación... more

Esta es una breve explicación del método de Gradiente Hidráulico propuesta por Todini y Pilati (1987), mediante la programación en el Lenguaje PYTHON 3.X, con el fin de compartirles y expandir el conocimiento sobre la programación orientada a la Ingeniería.

This paper presents a novel sectionalizing method for the build-up strategy in power system restoration. Power system restoration is the procedure of restoring power system elements after a partial or a complete blackout. Because of its... more

This paper presents a novel sectionalizing method for the build-up strategy in power system restoration. Power system restoration is the procedure of restoring power system elements after a partial or a complete blackout. Because of its economic and political importance, different strategies have been developed for a secure as well as fast restoration. One of the most practical and economical is the build-up strategy that includes the process of restoring separated parts (islands) in the power system and interconnecting them afterwards. This paper intends to develop a systematic algorithm for sectionalizing a power system considering various constraints such as black-start capability of generators, power supply-demand balance and independence of islands. Moreover, utilizing the Wide Area Measurement System (WAMS), each island will be fully observable in this method which is a crucial requirement for the restoration process. The New England 39 bus power system is used to demonstrate the proposed algorithm and verify the results. The proposed method is also applied to the IEEE 118 bus system as a large-scale power system to prove its capability in practical systems.

Contributors: Christoforos Mamas Edited by: Bruce B. Frey Book Title: The SAGE Encyclopedia of Educational Research, Measurement, and Evaluation Chapter Title: "Matrices (in Social Network Analysis)" Pub. Date: 2018 Access Date:... more

Contributors: Christoforos Mamas
Edited by: Bruce B. Frey
Book Title: The SAGE Encyclopedia of Educational Research, Measurement, and Evaluation
Chapter Title: "Matrices (in Social Network Analysis)"
Pub. Date: 2018
Access Date: February 26, 2018
Publishing Company: SAGE Publications, Inc.
City: Thousand Oaks,
Print ISBN: 9781506326153
Online ISBN: 9781506326139
DOI: http://dx.doi.org/10.4135/9781506326139.n415
Print page: 1028

The composite direct product model for the multitrait-multimethod matrix is reparameterized as a second-order factor analysis model. This facilitates the use of widely available computer programs such as LISREL and LISCOMP for fitting the... more

The composite direct product model for the multitrait-multimethod matrix is reparameterized as a second-order factor analysis model. This facilitates the use of widely available computer programs such as LISREL and LISCOMP for fitting the model.

A novel meshless local boundary integral equation (LBIE) method is proposed for the numerical solution of two-dimensional steady elliptic problems, such as heat conduction, electrostatics or linear elasticity. The domain is discretized by... more

A novel meshless local boundary integral equation (LBIE) method is proposed for the numerical solution of two-dimensional steady elliptic problems, such as heat conduction, electrostatics or linear elasticity. The domain is discretized by a distribution of boundary and internal nodes. From this nodal points’ cloud a “background” mesh is created by a triangulation algorithm. A local form of the singular boundary integral equation of the conventional boundary elements method is adopted. Its local form is derived by considering a local domain of each node, comprising by the union of neighboring “background” triangles. Therefore, the boundary shape of this local domain is a polygonal closed line. A combination of interpolation schemes is taken into account. Interpolation of boundary unknown field variables is accomplished through boundary elements’ shape functions. On the other hand, the Radial Basis Point Interpolation Functions method is employed for interpolating the unknown interior fields. Essential boundary conditions are imposed directly due to the Kronecker delta-function property of the boundary elements’ interpolation functions. After the numerical evaluation of all boundary integrals, a banded stiffness matrix is constructed, as in the finite elements method. Several potential and elastostatic benchmark problems in two dimensions are solved numerically. The proposed meshless LBIE method is also compared with other numerical methods, in order to demonstrate its efficiency, accuracy and convergence.

—Graphics Processing Units (GPU) allow for running massively parallel applications offloading the Central Processing Unit (CPU) from computationally intensive resources. However GPUs have a limited amount of memory. In this paper, a trie... more

—Graphics Processing Units (GPU) allow for running massively parallel applications offloading the Central Processing Unit (CPU) from computationally intensive resources. However GPUs have a limited amount of memory. In this paper, a trie compression algorithm for massively parallel pattern matching is presented demonstrating 85% less space requirements than the original highly efficient parallel failure-less Aho-Corasick, whilst demonstrating over 22 Gbps throughput. The algorithm presented takes advantage of compressed row storage matrices as well as shared and texture memory on the GPU.

Model evaluation in covariance structure analysis is critical before the results can be trusted. Due to finite sample sizes and unknown distributions of real data, existing conclusions regarding a particular statistic may not be... more

Model evaluation in covariance structure analysis is critical before the results can be trusted. Due to finite sample sizes and unknown distributions of real data, existing conclusions regarding a particular statistic may not be applicable in practice. The bootstrap procedure automatically takes care of the unknown distribution and, for a given sample size, also provides more accurate results than those