A disintegration theorem

A new approach to disintegration of measures is presented, allowing one to drop the usually taken separability assumption. The main tool is a result on fibers in the spectrum of algebra of essentially bounded functions established recently by the first-named author.Comment: 3 page

Gleason parts of bidual algebras

It is shown that the embeding of any Gleason part of a uniform algebra into the spectrum of its second dual is an entire Gleason part. This result is based on the equality of weak-star and norm topologies on the Bear-Gleason part

Data Warehousing and OLAP in MS SQL Server Environment

Tato práce se zabývá problematikou datových skladů a OLAP analýzy. Je zde uvedena jejich de nice a využití. Dále je zde popsáno prostředí MS SQL Serveru pro podporu vývoje datových skladů. Zde popsané technologie jsou využity v ukázkové aplikaci.This thesis deals with the issue of data warehouses and the OLAP. It contains their de nitions and usage. The MS SQL server as a tool for supporting the data storage development and OLAP is also described. The technologies are used in a sample application.

Spectra of subnormal pairs

In this short note we present an example related to joint spectra of subnormal pairs of bounded operators. A counterexample to the equality between Taylor's spectrum and the closure of the defect spectrum is given. This example is related to the author's modification of N. Sibony's counterexample to Corona Theorem on domains that fail to be strictly pseudoconvex

Corona Theorem

For a wide class of domains $G\subset\mathbb C^d$ including balls and polydisks we prove the density of their canonical image in the spectrum of $H^\infty(G)$. This is the Corona Theorem and we establish first its abstract version for certain uniform algebras by duality methods. These methods include the study of idempotents and of bands of measures corresponding to Gleason parts, embeddings in bidual algebras with their Arens product and inductive limits of higher order biduals. The essential tools are properties of supports of normal measures on hyperstonean spaces, analysis on ordered Banach lattices and uniform bounds for operators used to solve the Gleason problem concerning generators of the ideal of analytic functions vanishing at a given point.Comment: 31 page

Software de telecontrol y telemetría para el proceso de medición y control del Nanosatélite Wara

El presente trabajo de investigación titulado “Software de Telecontrol y Telemetría para los procesos de Medición y Control del Nanosatélite Wara”, describe el desarrollo del software anunciado y la contribución de este en lo que será la Estación Terrena Espacial. Parte de los objetivos fue la especificación del software; el análisis y diseño del procedimiento para interpretar los datos crudos y así obtener los datos reales, lo mismo para realizar las órdenes y comandos, las cuales deben de empaquetarse en forma de dato crudo. Realizamos el diseño del software, con el diseño de datos y el diseño de la arquitectura del software; Se estableció que el software no tendrá un gestor de base de datos externo, utilizara archivos de texto plano (.dat) y la arquitectura del software fue diseñada mediante un modelo de flujo de datos. La implementación del software fue utilizando el lenguaje de programación JAVA, por ser multiplataforma, y el software es presentado en un paquete instalador. Se logra concluir y aceptar la Hipótesis planteada en el Proyecto de Investigación, gracias a la prueba de T de student. Y con el software aceptado, estamos listos para continuar con el desarrollo de nuestro primer satélite puneñoTesi

Implementación de métodos mecánicos para la mejora del proceso de demolición de la ex planta cervecera Pilsen Trujillo, La Libertad, 2017

El presente trabajo, Implementación de métodos mecánicos para la mejora del proceso de demolición de la ex planta cervecera Pilsen Trujillo – La Libertad, 2017, tiene como objetivo principal el estudio de los métodos mecánicos que nos permitan lograr una mejora en los procesos de demolición, específicamente para el predio en estudio. Se consideran dos variables a lo largo de la investigación, que son: los métodos mecánicos de demolición, cuyas dimensiones refieren a la demolición a presión o fragmentación mecánica, demolición por descalce y demolición por tracción; y la variable procesos de demolición, refiriéndose a la identificación, planificación y la ejecución material del proceso de demolición en sí. Ésta investigación de acuerdo a su diseño es experimental, es una investigación cuantitativa y el método a aplicar es el deductivo, teniendo como tipo de investigación aplicada, porque nos conlleva a resolver problemas existentes. La muestra está conformada por un predio de 21,128.90 m2 y la población está dada por los 22 inmuebles aprobados para cambio de uso de suelos, ubicados en el distrito de Trujillo y de acuerdo al Plan de Zonificación vigente en la ciudad. El instrumento utilizado en una ficha técnica adaptada de la empresa Flesan, lo cual será validado por tres expertos en la construcción. Al realizar el análisis entre los métodos mecánicos, convencional e implementado, permite establecer una comparación entre ambos métodos, de tal manera que podemos corroborar y concluir en la mejora obtenida referente al costo, tiempo y riesgo del proceso de demolición para el inmueble en estudio

Implementation of Survivor Detection Strategies Using Drones

Survivors stranded during floods tend to seek refuge on dry land. It is important to search for these survivors and help them reach safety as quickly as possible. The terrain in such situations however, is heavily damaged and restricts the movement of emergency personnel towards these survivors. Therefore, it is advantageous to utilize Unmanned Aerial Vehicles (UAVs) in cooperation with on-ground first responders to aid search and rescue efforts. In this article we demonstrate an implementation and improvement of the weight-based path planning algorithm using an off-the-shelf UAV. The coordinates of the survivor and their heading is reported by an on-ground observer to the UAV to generate a weighted map of the surroundings for exploration. Each coordinate in the map is assigned a weight which dictates the priority of exploration. These waypoints are then sorted on the basis of their weights to arrive at an ordered list for exploration by the UAV. We developed the model in MATLAB, followed by prototyping on Robot Operating System (ROS) using a 3DR Iris quadcopter. We tested the model on an off-the-shelf UAV by utilizing the MAVROS and MAVLINK capabilities of ROS. During the implementation of the algorithm on the UAV, several additional factors such as unreliable GPS signals and limited field of view which could effect the performance of the model were in effect, despite which the algorithm performed fairly well. We compared our model with conventional algorithms described in the literature, and showed that our implementation outperforms them.Comment: 22 pages, 42 figures, 2 table

Optimum experimental designs for models with a skewed error distribution : with an application to stochastic frontier models

In this thesis, optimum experimental designs for a statistical model possessing a skewed error distribution are considered, with particular interest in investigating possible parameter dependence of the optimum designs. The skewness in the distribution of the error arises from its assumed structure. The error consists of two components (i) random error, say V, which is symmetrically distributed with zero expectation, and (ii) some type of systematic error, say U, which is asymmetrically distributed with nonzero expectation. Error of this type is sometimes called 'composed' error. A stochastic frontier model is an example of a model that possesses such an error structure. The systematic error, U, in a stochastic frontier model represents the economic efficiency of an organisation. Three methods for approximating information matrices are presented. An approximation is required since the information matrix contains complicated expressions, which are difficult to evaluate. However, only one method, 'Method 1', is recommended because it guarantees nonnegative definiteness of the information matrix. It is suggested that the optimum design is likely to be sensitive to the approximation. For models that are linearly dependent on the model parameters, the information matrix is independent of the model parameters but depends on the variance parameters of the random and systematic error components. Consequently, the optimum design is independent of the model parameters but may depend on the variance parameters. Thus, designs for linear models with skewed error may be parameter dependent. For nonlinear models, the optimum design may be parameter dependent in respect of both the variance and model parameters. The information matrix is rank deficient. As a result, only subsets or linear combinations of the parameters are estimable. The rank of the partitioned information matrix is such that designs are only admissible for optimal estimation of the model parameters, excluding any intercept term, plus one linear combination of the variance parameters and the intercept. The linear model is shown to be equivalent to the usual linear regression model, but with a shifted intercept. This suggests that the admissible designs should be optimal for estimation of the slope parameters plus the shifted intercept. The shifted intercept can be viewed as a transformation of the intercept in the usual linear regression model. Since D_A-optimum designs are invariant to linear transformations of the parameters, the D_A-optimum design for the asymmetrically distributed linear model is just the linear, parameter independent, D_A-optimum design for the usual linear regression model with nonzero intercept. C-optimum designs are not invariant to linear transformations. However, if interest is in optimally estimating the slope parameters, the linear transformation of the intercept to the shifted intercept is no longer a consideration and the C-optimum design is just the linear, parameter independent, C-optimum design for the usual linear regression model with nonzero intercept. If interest is in estimating the slope parameters, and the shifted intercept, the C-optimum design will depend on (i) the design region; (ii) the distributional assumption on U; (iii) the matrix used to define admissible linear combinations of parameters; (iv) the variance parameters of U and V; (v) the method used to approximate the information matrix. Some numerical examples of designs for a cross-sectional log-linear Cobb-Douglas stochastic production frontier model are presented to demonstrate the nonlinearity of designs for models with a skewed error distribution. Torsney's (1977) multiplicative algorithm was implemented in finding the optimum designs.EThOS - Electronic Theses Online ServiceGBUnited Kingdo