Introdução à identificação de sistemas utilizando o System Identification Toolbox do MATLAB em conjunto com o Arduino para o laboratório de controle linear

The education designed and planned in a clear and objective manner is of paramount importance for universities to prepare competent professionals for the labor market, and above all can serve the population with an efficient work. Specifically, in relation to engineering, conducting classes in the laboratories it is very important for the application of theory and development of the practical part of the student. The planning and preparation of laboratories, as well as laboratory equipment and activities should be developed in a succinct and clear way, showing to students how to apply in practice what has been learned in theory and often shows them why and where it can be used when they become engineers. This work uses the MATLAB together with the System Identification Toolbox and Arduino for the identification of linear systems in Linear Control Lab. MATLAB is a widely used program in the engineering area for numerical computation, signal processing, graphing, system identification, among other functions. Thus the introduction to MATLAB and consequently the identification of systems using the System Identification Toolbox becomes relevant in the formation of students to thereafter when necessary to identify a system the base and the concept has been seen. For this procedure the open source platform Arduino was used as a data acquisition board being the same also introduced to the student, offering them a range of software and hardware for learning, giving you every day more luggage to their training

Desenvolvimento de um aplicativo para processamento de imagens obtidas por fotografias aéreas

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Low-Cost Ultra-Wide Genotyping Using Roche/454 Pyrosequencing for Surveillance of HIV Drug Resistance

Background: Great efforts have been made to increase accessibility of HIV antiretroviral therapy (ART) in low and middle-income countries. The threat of wide-scale emergence of drug resistance could severely hamper ART scale-up efforts. Population-based surveillance of transmitted HIV drug resistance ensures the use of appropriate first-line regimens to maximize efficacy of ART programs where drug options are limited. However, traditional HIV genotyping is extremely expensive, providing a cost barrier to wide-scale and frequent HIV drug resistance surveillance. Methods/Results: We have developed a low-cost laboratory-scale next-generation sequencing-based genotyping method to monitor drug resistance. We designed primers specifically to amplify protease and reverse transcriptase from Brazilian HIV subtypes and developed a multiplexing scheme using multiplex identifier tags to minimize cost while providing more robust data than traditional genotyping techniques. Using this approach, we characterized drug resistance from plasma in 81 HIV infected individuals collected in Sao Paulo, Brazil. We describe the complexities of analyzing next-generation sequencing data and present a simplified open-source workflow to analyze drug resistance data. From this data, we identified drug resistance mutations in 20% of treatment naive individuals in our cohort, which is similar to frequencies identified using traditional genotyping in Brazilian patient samples. Conclusion: The developed ultra-wide sequencing approach described here allows multiplexing of at least 48 patient samples per sequencing run, 4 times more than the current genotyping method. This method is also 4-fold more sensitive (5% minimal detection frequency vs. 20%) at a cost 3-5 x less than the traditional Sanger-based genotyping method. Lastly, by using a benchtop next-generation sequencer (Roche/454 GS Junior), this approach can be more easily implemented in low-resource settings. This data provides proof-of-concept that next-generation HIV drug resistance genotyping is a feasible and low-cost alternative to current genotyping methods and may be particularly beneficial for in-country surveillance of transmitted drug resistance.

An Early Permian Glossopteris flora from the Umrer Coalfield, Wardha Basin, Maharashtra, India

A rich and well-preserved Glossopteris-dominated plant fossil assemblage is described from the Barakar Formation of the Makardhokra and Umrer open-cast projects, Umrer Coalfield, Nagpur District, Wardha Basin, Maharashtra, India. The assemblage includes equisetalean axes, cordaitalean leaves (Noeggerathiopsis hislopii), Gangamopteris clarkeana and diverse Glossopteris leaves and a fertile organ assigned to Scutum sp. cf. S. leslii. The flora, although similar to that of the Barakar Formation of the Damodar Basin complex (the reference basin system with respect to the qualitative and quantitative distribution of Indian Permian plant taxa), exhibits unique characteristics and is Artinskian to Kungurian in age. Besides supplementing knowledge of the broader Wardha Basin flora, this is the first systematic documentation of the Glossopteris flora from the Barakar Formation of this basin.

Introduction to the Software-defined Radio Approach

Telecommunications have been in constant evolution during past decades. Among the technological innovations, the use of digital technologies is very relevant. Digital communication systems have proven their efficiency and brought a new element in the chain of signal transmitting and receiving, the digital processor. This device offers to new radio equipments the flexibility of a programmable system. Nowadays, the behavior of a communication system can be modified by simply changing its software. This gave rising to a new radio model called Software Defined Radio (or Software-Defined Radio - SDR). In this new model, one moves to the software the task to set radio behavior, leaving to hardware only the implementation of RF front-end. Thus, the radio is no longer static, defined by their circuits and becomes a dynamic element, which may change their operating characteristics, such as bandwidth, modulation, coding rate, even modified during runtime according to software configuration. This article aims to present the use of GNU Radio software, an open-source solution for SDR specific applications, as a tool for development configurable digital radio.

Cone Beam Computed Tomographic Imaging: Perspective, Challenges, and the Impact of Near-Trend Future Applications

Cone beam computed tomography (CBCT) can be considered as a valuable imaging modality for improving diagnosis and treatment planning to achieve true guidance for several craniofacial surgical interventions. A new concept and perspective in medical informatics is the highlight discussion about the new imaging interactive workflow. The aim of this article was to present, in a short literature review, the usefulness of CBCT technology as an important alternative imaging modality, highlighting current practices and near-term future applications in cutting-edge thought-provoking perspectives for craniofacial surgical assessment. This article explains the state of the art of CBCT improvements, medical workstation, and perspectives of the dedicated unique hardware and software, which can be used from the CBCT source. In conclusion, CBCT technology is developing rapidly, and many advances are on the horizon. Further progress in medical workstations, engineering capabilities, and improvement in independent software-some open source-should be attempted with this new imaging method. The perspectives, challenges, and pitfalls in CBCT will be delineated and evaluated along with the technological developments.

GEDI: a user-friendly toolbox for analysis of large-scale gene expression data

Abstract Background Several mathematical and statistical methods have been proposed in the last few years to analyze microarray data. Most of those methods involve complicated formulas, and software implementations that require advanced computer programming skills. Researchers from other areas may experience difficulties when they attempting to use those methods in their research. Here we present an user-friendly toolbox which allows large-scale gene expression analysis to be carried out by biomedical researchers with limited programming skills. Results Here, we introduce an user-friendly toolbox called GEDI (Gene Expression Data Interpreter), an extensible, open-source, and freely-available tool that we believe will be useful to a wide range of laboratories, and to researchers with no background in Mathematics and Computer Science, allowing them to analyze their own data by applying both classical and advanced approaches developed and recently published by Fujita et al. Conclusion GEDI is an integrated user-friendly viewer that combines the state of the art SVR, DVAR and SVAR algorithms, previously developed by us. It facilitates the application of SVR, DVAR and SVAR, further than the mathematical formulas present in the corresponding publications, and allows one to better understand the results by means of available visualizations. Both running the statistical methods and visualizing the results are carried out within the graphical user interface, rendering these algorithms accessible to the broad community of researchers in Molecular Biology.

Computational framework to support integration of biomolecular and clinical data within a translational approach

Background The use of the knowledge produced by sciences to promote human health is the main goal of translational medicine. To make it feasible we need computational methods to handle the large amount of information that arises from bench to bedside and to deal with its heterogeneity. A computational challenge that must be faced is to promote the integration of clinical, socio-demographic and biological data. In this effort, ontologies play an essential role as a powerful artifact for knowledge representation. Chado is a modular ontology-oriented database model that gained popularity due to its robustness and flexibility as a generic platform to store biological data; however it lacks supporting representation of clinical and socio-demographic information. Results We have implemented an extension of Chado – the Clinical Module - to allow the representation of this kind of information. Our approach consists of a framework for data integration through the use of a common reference ontology. The design of this framework has four levels: data level, to store the data; semantic level, to integrate and standardize the data by the use of ontologies; application level, to manage clinical databases, ontologies and data integration process; and web interface level, to allow interaction between the user and the system. The clinical module was built based on the Entity-Attribute-Value (EAV) model. We also proposed a methodology to migrate data from legacy clinical databases to the integrative framework. A Chado instance was initialized using a relational database management system. The Clinical Module was implemented and the framework was loaded using data from a factual clinical research database. Clinical and demographic data as well as biomaterial data were obtained from patients with tumors of head and neck. We implemented the IPTrans tool that is a complete environment for data migration, which comprises: the construction of a model to describe the legacy clinical data, based on an ontology; the Extraction, Transformation and Load (ETL) process to extract the data from the source clinical database and load it in the Clinical Module of Chado; the development of a web tool and a Bridge Layer to adapt the web tool to Chado, as well as other applications. Conclusions Open-source computational solutions currently available for translational science does not have a model to represent biomolecular information and also are not integrated with the existing bioinformatics tools. On the other hand, existing genomic data models do not represent clinical patient data. A framework was developed to support translational research by integrating biomolecular information coming from different “omics” technologies with patient’s clinical and socio-demographic data. This framework should present some features: flexibility, compression and robustness. The experiments accomplished from a use case demonstrated that the proposed system meets requirements of flexibility and robustness, leading to the desired integration. The Clinical Module can be accessed in http://dcm.ffclrp.usp.br/caib/pg=iptrans webcite.

Intelligent tutoring system for distance education

This study aims to develop and implement a tool called intelligent tutoring system in an online course to help a formative evaluation in order to improve student learning. According to Bloom et al. (1971,117) formative evaluation is a systematic evaluation to improve the process of teaching and learning. The intelligent tutoring system may provide a timely and high quality feedback that not only informs the correctness of the solution to the problem, but also informs students about the accuracy of the response relative to their current knowledge about the solution. Constructive and supportive feedback should be given to students to reveal the right and wrong answers immediately after taking the test. Feedback about the right answers is a form to reinforce positive behaviors. Identifying possible errors and relating them to the instructional material may help student to strengthen the content under consideration. The remedial suggestion should be given in each answer with detaileddescription with regards the materials and instructional procedures before taking next step. The main idea is to inform students about what they have learned and what they still have to learn. The open-source LMS called Moodle was extended to accomplish the formative evaluation, high-quality feedback, and the communal knowledge presented here with a short online financial math course that is being offered at a large University in Brazil. The preliminary results shows that the intelligent tutoring system using high quality feedback helped students to improve their knowledge about the solution to the problems based on the errors of their past cohorts. The results and suggestion for future work are presented and discussed.

Desarrollo de un sistema de videoconferencia en HTML 5.0

[ES] Webcam App es una aplicación que tiene como principal objetivo social que las personas puedan realizar videoconferencias a través de la web de forma gratuita y sencilla. Para el desarrollo de la misma, fueron de gran utilidad los elementos que brinda HTML5.0 para dar soporte multimedia: y . También, se usan dos de las APIs que implementa WebRTC para la trasmisión de audio y video en tiempo real, obtenidos desde la webcam: MediaStream (getUserMedia) y RTCPeerConnection. Para soportar esta aplicación se elige Node.js como servidor web, pues entre sus puntos fuertes está la capacidad de mantener varias conexiones abiertas, característica fundamental en una aplicación de videollamadas, donde miles de usuarios crean y envían solicitudes de conexión simultáneamente. Con el fin de aportarle una apariencia agradable a la aplicación, un entorno usable y conocido para los usuarios, se utiliza CMS Elgg como marco de red social. CMS Elgg provee de funcionalidades comunes, como por ejemplo: conectar con amigos, enviar mensajes, compartir contenido. Como metodología base se usa el Proceso Unificado de Desarrollo de Software, posibilitando que la realización de este trabajo se haya hecho de una manera organizada y se obtuvieran artefactos para el desarrollo. Como resultado del trabajo, se obtiene una solución Open Source que sirve como un modelo de comunicación en tiempo real sin necesidad de descargar, instalar o actualizar ningún complemento de terceros y que demuestra la fiabilidad de los sistemas basados en HTML5 y WebRTC.

Wildfire prevention and management in a 3D virtual environment

[EN] This paper describes a wildfire forecasting application based on a 3D virtual environment and a fire simulation engine. A new open source framework is presented for the development of 3D graphics applications over large geographic areas offering high performance 3D visualization and powerful interaction tools for the Geographic Information Systems community. The application includes a remote module that allows simultaneous connection of several users for monitoring a real wildfire event. The user is enabled to simulate and visualize a wildfire spreading on the terrain under conditions of spatial information on topography and fuels along with weather and wind files.

I-Found

[ES] El presente proyecto final de carrera surge con la idea de cubrir una necesidad social a un servicio no existente en muchos contextos. "I-Found" es un concepto de oficina virtual de objetos perdidos, con el añadido de que no solo gestiona objetos, sino también personas y animales (lo que en este proyecto se denomina un "OPA"). Además ofrece la posibilidad de poner en contacto directo y sin intermediarios a personas que han perdido o les ha sido robado un "OPA", con personas que los haya encontrado y viceversa, dentro de cualquier ámbito posible. Los objetivos principales del proyecto son : el aprendizaje de la plataforma Android para dispositivos móviles y el desarrollo de una aplicación, basada en el concepto "I-Found", totalmente funcional, experimental, libre y gratuita, restringida al ámbito geográfico e institucional de la Universidad de Las Palmas de Gran Canaria. Por este motivo, la app desarrollada se denomina "I-Found@ULPGC", leído en inglés como "I-Found at ULPGC". Esta app demuestra la capacidad de personalización del concepto "I-Found" a múltiples contextos institucionales o geográficos.

Gestor web de recursos geoespaciales con tecnología Openlayers

[ES] El objetivo de este Trabajo Final de Grado (TFG) es la creación de un prototipo de aplicación web para la gestión de recursos geoespaciales. Esta propuesta surgió a partir de la necesidad de disponer de una herramienta que no tuviera que ser instalada en un dispositivo, sino servida por un servidor web, permitiendo su acceso desde cualquier parte y dispositivo. El resultado fue el Gestor Web de Recursos Geoespaciales con Tecnología OpenLayers, una aplicación que combina diversas herramientas (OpenLayers, GeoServer, PostgreSQL, jQuery…) – todas ellas basadas en Software Libre – para cumplir funcionalidades como la creación de primitivas vectoriales sobre un mapa, gestión y visualización de la información asociada, edición de estilos, modificación de coordenadas, etc. siendo todas éstas funcionalidades características de un Sistema de Información Geográfica (SIG) y ofreciendo una interfaz de uso cómoda y eficaz, que abstraiga al usuario de detalles internos y complejos. El material desarrollado dispone del potencial necesario para convertirse en una solución a las necesidades de gestión de información geoespacial de la ULPGC, especialmente en el campus de Tafira, sobre el que se ha ejemplificado su uso. Además, a diferencia de las herramientas ofertadas por empresas como Google o Microsoft, esta aplicación está por completo bajo una licencia GNU GPL v3, lo que permite que se pueda indagar dentro de su código, mejorarlo y añadir funcionalidades a cualquier persona interesada.

JavaFMI una librería Java para el estándar Functional Mockup Interface

[ES] El estándar Functional Mockup Interface (FMI), es un estándar abierto e independiente de cualquier aplicación o herramienta que permite compartir modelos de sistemas dinámicos entre aplicaciones. Provee una interfaz escrita en lenguaje C que ha de ser implementada por las distintas herramientas exportadoras y pone en común un conjunto de funciones para manipular los modelos.
JavaFMI es una herramienta que permite utilizar simulaciones que cumplen con el estándar FMI en aplicaciones Java de una manera muy simple, limpia y eficiente. Es un proyecto open source con licencia LGPL V2.1H y su código fuente se encuentra disponible para ser clonado en la pagina del proyecto. El proyecto se encuentra alojado en www.bitbucket.org/siani/javafmi y cuenta con una página de bienvenida donde se explica como se usa la librería, una página para reportar incidencias o solicitar que se implementen nuevas historias y una página donde se listan todas las versiones que hay disponibles para descargar. JavaFMI se distribuye como un fichero zip que contiene el .jar con el código compilado de la librería una carpeta lib con las dos dependencias que tiene con librerías externas y una copia de la licencia. Comparada con JFMI, con menos lineas de código, una API limpia, expresiva y auto documentada, y un rendimiento que es un 66 % mejor, JavaFMI es objetivamente la mejor herramienta Java que existe para manipular FMUs de la versión 1.0 y 2.0 del estándar FMI.

Arquitectura para la interoperabilidad de unidades de simulación basadas en FMU

[ES] El estándar Functional Mockup Interface (FMI), es un estándar abierto e independiente de cualquier aplicación o herramienta que permite compartir modelos de sistemas dinámicos entre aplicaciones. En FMI, se define una interfaz común (API) que permite la distribución e interoperabilidad de simulaciones. Así, una simulación puede transformarse en un formato ejecutable para su distribución con una interfaz pública conocida. En este estándar, una simulación se empaqueta en un formato de fichero llamado Functional Mock-up Unit (FMU). La ejecución de una simulación compleja en la que intervienen muchas FMUs es una necesidad que puede ser inviable de realizar en un sólo ordenador por la cantidad de recursos que consume.