En los últimos años se ha visto un auge en el uso de los sistemas de bases de datos NoSQL y junto a ello se ha popularizado la idea de aplicaciones de Persistencia Políglota. Esta consiste en que gracias a la gran variedad y cantidad de datos, y los diversos servicios que pueden dar las aplicaciones hoy en día, es probable que un único tipo de sistema de almacenamiento no sea capaz de cubrir de forma eficiente todas las necesidades de la aplicación. En este articulo se dará una idea general de las Aplicaciones de Persistencia Políglota dando información acerca de su funcionamiento, arquitectura y motivación; y ademas se hablara específicamente de como aplicar la Persistencia Políglota con MongoDB y Neo4j.
Palabras Clave: NoSQL, Persistencia Políglota, MongoDB, Neo4j, Neo4j Doc Manager
Biometric refers to the automatic identification of a person based on his or her physiological and individual characteristics that can be easily verified. Among the featured measures of this system are face, fingerprint, speech recognition, retinal and signature etc. To fortify the actual presence of a real trait against a fake self-generated sample biometric system is used. In this research paper, the focus is laid on basic techniques for security system. Face recognition. In face recognition, facial recognition algorithms identify facial features by extracting landmarks, or features, from an image of the subject’s face. We can apply it to the servo motors using train database and test database. If the data matches the train database, it sends the command to the servo motors which in turn will open the door. The UI displays ACCESS ACCEPTED or ACCESS DENIED based on the recognition using test and trained databases.This system is implemented using MATLAB.
In this paper we propose a first version for a computational proposal for Electromagnetic Field (EMF) Pollution for the construction of calculated maps, as a visualization tool for estimating the levels of human exposure to potentially harmful levels of electromagnetic radiation. The computational model includes the necessary mathematics for estimating levels of exposure in any two dimension space point in a map, given a massive set of emitters and its relevant parameters, but also contains adjust considerations using a data set of field measures that would allow the model to adapt to real environmental conditions. This combination of mathematical model and field data also will allow us to skip the use of interpolations an other statistical methods typically used in maps based exclusively on measures. The proposal also specifies the system main features and development methodology in order to achieve an interactive and flexible tool.
This document is the LaTeX template for submitting articles at the WPGEC (Workshop de Pós-graduação de Engenharia da Computação) from the University of São Paulo in its sixth edition.
This document allows the writing of articles in both portuguese and english version.
Collaborator: Rosalia Caya
Physics being an experimental science, we sought to learn how to prepare a lab and perform as a team accounting for errors and uncertainties and to reduce them. We gathered values for volume using Micrometer, gathered information on acceleration, velocity, and created a histogram using a PASCO motion sensor. A jumping experiment was also performed with a human and the motion sensor. Our main goal was to test the effects of human error and eliminating mechanical error.