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Submission Format for IMS2014 (IEEE MTT)
Submission format for the International Microwave Symposium (MTT IMS 2014). Authors are invited to submit technical papers describing original work on radio-frequency, microwave, millimeter-wave, and terahertz (THz) theory and techniques.
The deadline for submission is 9 December 2013.
Senac Poster with the Sciposter Package
Multi-column LaTeX poster template for colleges using the sciposter package.
Designed for Serviço Nacional de Aprendizagem Comercial (Senac).
Topology - Compactness Plan
Part 3 Project Plan Nov 2013
Topology is the study of shapes and spaces. It is fundamental in the study of Mathematics and its influence can be seen across many other areas of study. It is often known as the "mathematics of continuity". Topology like many areas of Mathematics is axiomatic...
The tcolorbox Package
tcolorbox provides an environment for colored and framed text boxes with a heading
line. Optionally, such a box can be split in an upper and a lower part. The package
tcolorbox can be used for the setting of LaTeX examples where one part of the box
displays the source code and the other part shows the output. Another common use
case is the setting of theorems. The package supports saving and reuse of source code
and text parts.
Modelo de Projeto de pesquisa
A canonical model of a research project using the abnTeX2 package, which provides support for writing technical and scientific Brazilian documents (like academic thesis, articles, reports, research project and others) based on ABNT rules (Associação Brasileira de Normas Técnicas).
Modelo canônico de Projeto de pesquisa em conformidade com as normas ABNT apresentado à comunidade de usuários LaTeX.
This example consists of the unmodified files abntex2-modelo-projeto-pesquisa.tex and abntex2-modelo-references.bib by abnTeX2. For full license information see the source code below.
Hidden Markov Models for Vehicle Tracking with Bluetooth
Bluetooth is a short range communication protocol. Bluetooth-enabled devices can be detected using road-side equipment, and each detected device reports a unique identifier. These unique identifiers can be used to track vehicles through road networks over time. The focus of this paper is on reconstructing the paths of vehicles through a road network using Bluetooth detection data. A method is proposed that uses Hidden Markov Models, which are a well-known tool for statistical pattern recognition. The proposed method is evaluated on a mixture of real and synthetic Bluetooth data with GPS ground truth, and it outperforms a simple deterministic strategy by a large margin (30%-50%) in this case.