Electronic Government applications aim to deliver efficient, seamless, customer-focused services to the public using various distribution channels. One of challenges in building such applications is the requirement to rely upon preexisting, often heterogeneous government applications. In order to enable communication…

El actual trabajo de Tesis consiste en la creación de un Sistema de Información Geográfico que servirá a la Dirección Provincial del Ministerio de Agricultura, ganadería, Acuacultura y Pesca (MAGAP) en Santo Domingo, para identificar el potencial real de la…

Se evaluó el rendimiento de
cinco índices no paramétricos de riqueza de especies (ICE, Jack1, Jack2, Chao2 y
Bootstrap) utilizando inventarios disponibles para tres grupos de vertebrados dentro de la
Reserva de Biósfera Bañados del Este, Uruguay. Los datos utilizados…

El presente proyecto desarrolla un prototipo contador de personas, utilizando sensores piroeléctricos y ultrasónicos; que permiten determinar cuando una persona pasa por un punto fijo y a la vez, con la ayuda de un software específico, permite determinar la dirección…

A review of the North American (Mexico and the United States of America) species Frankliniella aurea Moulton, 1948, was carry out herein. It is now recognized as a "species complex", since its adults show three color forms; new data about…

Objective: To review the scientific literature on pharmaceutical advertising aimed at health professionals in order to determine whether gender bias has decreased and the quality of information in pharmaceutical advertising has improved over time. Methods: We performed a content analysis…

Data base management evolved during the sixties and seventies. The evolution period was protracted. Many driving forces impacted the evolution and it is the aim of this paper to analyze these driving forces (some technical and some political) and to…

In cases of extremely imbalanced dataset with high dimensions, standard machine learning techniques tend to be overwhelmed by the large classes. This paper rebalances skewed datasets by compressing the majority class. This approach combines Vector Quantization and Support Vector Machine…