Gallery — Two-column

The preparation of these files was supported by Schlumberger Palo Alto Research, AT&T Bell Laboratories, and Morgan Kaufmann Publishers. Shirley Jowell, of Morgan Kaufmann Publishers, and Peter F. Patel-Schneider, of AT&T Bell Laboratories collaborated on their preparation. These instructions can be modified and used in other conferences as long as credit to the authors and supporting agencies is retained, this notice is not changed, and further modification or reuse is not restricted. Neither Shirley Jowell nor Peter F. Patel-Schneider can be listed as contacts for providing assistance without their prior permission. To use for other conferences, change references to files and the conference appropriate and use other authors, contacts, publishers, and organizations. Also change the deadline and address for returning papers and the length and page charge instructions. Put where the files are available in the appropriate places.

Projeto lab CE2

Esta plantilla esta basada en el formato IEEE Journal. Es utilizada para fines formativos en la asignatura de física para estudiantes de la educación media.

Report template to be used by MCyber students

Lab 3 report following IEEE EEET2493

Modelo de TCC para alunos do Programa de Pós-Graduação em Redes e Sistemas de Telecomunicações

Precision viticulture is a specialization of precision agriculture techniques applied to viticulture. Precision agriculture is the use of information system technologies applied to agricultural production. Some of the applicable technologies are; Wireless Sensor Networks (WSN), Global Positioning Systems (GPS), spectroscopy analysis of Near-Infrared (NIR), Geographic Information Systems (GIS). These systems provide means of observation, evaluation and control of agricultural activities. The farmers demand assistant systems to perform actions for saving time and avoiding risks. There are studies of maps crops and mesh-sampling techniques to predict the harvest volume in a vineyard with a certain varieties of grapes. The prediction is based on a previous study of crops over a period of three to four years. Along these three or four years a large volume of samples is taken to study several parameters. In this application area is where the wireless sensor networks technologies would have high incidence. In this context we intend to analyse, at first place, the specific characteristics of the operational environment of a vineyard. Second, we will analyse the most appropriate architecture for a sensor network in this environment. Application of wireless sensor networks technology can take many forms depending of environment, and implementation objectives. In this paper we discuss about the best procedure for deployment and the optimal topology of a wireless sensor network for viticulture.

An example of a geometry two-column proof template.

Spinitron V2 Manual for Radio DJs