Supporting an open learning network

Stephen Downes, investigador del Canada's National Research Council, presenta su visión personal sobre la educación y los recursos libres. Los temas principales de su presentación son: Free and Open Source Software, Open Knowledge, Education and Technology

Open GeoGadget Framework. Entorno de explotación de geoservicios basados en EzWeb

El objetivo del proyecto Open Geogadget Framework es el desarrollo de una plataforma Software que posibilite la composición y compartición de Interfaces para obtener conocimiento de Servicios Web de Información Geográfica estándares, mediante componentes tipo gadget's inteligentes, de una manera sencilla y rápida para el usuario; permitiendo explotar geo-información, sin necesidad de programar complicadas aplicaciones Web tipo mash-up

Open Hardware

Presentació sobre la creació de la placa Arduino, i els projectes que s'han fet arreu amb aquesta placa

From free software to free culture: the emergence of open business

This paper provides an examination of the emergence of open business models — entrepreneurial strategies that take advantage of the ease of digital reproduction to distribute free content, while earning money from the sale of related products and services. Locating the origins of open business in the open source software phenomenon, the authors suggest that the business strategies innovated there have broader economic relevance. Through a case study of the tecnobrega music scene in Belém, the paper illustrates how open business models can be applied to the production of cultural materials more generally

Simulação numérica de escoamentos hipersônicos sobre corpos rombudos pelo método de elementos finitos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Modelagem Cross-Layer da qualidade de experiência para transmissões de vídeo em sistemas sem fio OFDM

Este trabalho apresenta um estudo sobre transmissões de vídeo em sistemas sem fio. O objetivo da metodologia aplicada é comprovar a existência de uma relação direta entre a BER e a perda de qualidade (Perda de PSNR) nas transmissões de vídeo em sistemas OFDM (Orthogonal Frequency Division Multiplexing). Os resultados foram obtidos a partir de simulações, desenvolvidas no ambiente computacional Matlab®, e, aferições em cenários reais, realizadas no campus universitário e dentro do laboratório de estudos, em ambiente controlado. A partir da comparação entre dados simulados e aferidos, foi comprovada a relação entre BER e Perda de PSNR, resultando na formulação de um modelo empírico Cross-Layer com característica exponencial. A modelagem obteve erro RMS e desvio padrão próximos de 1,65 dB quando comparada com as simulações. Além disso, sua validação foi realizada a partir dos dados obtidos de cenários reais, que não foram usados para ajustar os parâmetros da equação obtida. O modelo obtido não necessita da especificação do tipo de canal ou codificação utilizada no FEC (Forward Error Correction), possibilitando uma futura integração com softwares de planejamento de redes, em versões comerciais ou open-sources.

Análise de desempenho de redes de comunicação wireless em aplicações de Smart Grid

Pós-graduação em Engenharia Elétrica - FEIS

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

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

Cultura "Open" e nuovi modelli normativi per la gestione della conoscenza

L'obiettivo della ricerca è di compiere un'analisi dell'impatto della cosiddetta cultura "open" alla luce dell'attuale condizione del World Wide Web. Si prenderà in considerazione, in particolare, la genesi del movimento a partire dalle basi di cultura hacker e la relativa evoluzione nella filosofia del software libero, con il fine ultimo di identificare il ruolo attuale del modello open source nello scenario esistente. L'introduzione al concetto di Open Access completerà la ricerca anche considerando la recente riaffermazione della conoscenza come bene comune all'interno della Società dell'Informazione

Algorithmen zur labelfreien quantitativen Proteomanalyse auf Basis datenunabhängig-akquirierter LC-MS-Daten

Moderne ESI-LC-MS/MS-Techniken erlauben in Verbindung mit Bottom-up-Ansätzen eine qualitative und quantitative Charakterisierung mehrerer tausend Proteine in einem einzigen Experiment. Für die labelfreie Proteinquantifizierung eignen sich besonders datenunabhängige Akquisitionsmethoden wie MSE und die IMS-Varianten HDMSE und UDMSE. Durch ihre hohe Komplexität stellen die so erfassten Daten besondere Anforderungen an die Analysesoftware. Eine quantitative Analyse der MSE/HDMSE/UDMSE-Daten blieb bislang wenigen kommerziellen Lösungen vorbehalten. rn| In der vorliegenden Arbeit wurden eine Strategie und eine Reihe neuer Methoden zur messungsübergreifenden, quantitativen Analyse labelfreier MSE/HDMSE/UDMSE-Daten entwickelt und als Software ISOQuant implementiert. Für die ersten Schritte der Datenanalyse (Featuredetektion, Peptid- und Proteinidentifikation) wird die kommerzielle Software PLGS verwendet. Anschließend werden die unabhängigen PLGS-Ergebnisse aller Messungen eines Experiments in einer relationalen Datenbank zusammengeführt und mit Hilfe der dedizierten Algorithmen (Retentionszeitalignment, Feature-Clustering, multidimensionale Normalisierung der Intensitäten, mehrstufige Datenfilterung, Proteininferenz, Umverteilung der Intensitäten geteilter Peptide, Proteinquantifizierung) überarbeitet. Durch diese Nachbearbeitung wird die Reproduzierbarkeit der qualitativen und quantitativen Ergebnisse signifikant gesteigert.rn| Um die Performance der quantitativen Datenanalyse zu evaluieren und mit anderen Lösungen zu vergleichen, wurde ein Satz von exakt definierten Hybridproteom-Proben entwickelt. Die Proben wurden mit den Methoden MSE und UDMSE erfasst, mit Progenesis QIP, synapter und ISOQuant analysiert und verglichen. Im Gegensatz zu synapter und Progenesis QIP konnte ISOQuant sowohl eine hohe Reproduzierbarkeit der Proteinidentifikation als auch eine hohe Präzision und Richtigkeit der Proteinquantifizierung erreichen.rn| Schlussfolgernd ermöglichen die vorgestellten Algorithmen und der Analyseworkflow zuverlässige und reproduzierbare quantitative Datenanalysen. Mit der Software ISOQuant wurde ein einfaches und effizientes Werkzeug für routinemäßige Hochdurchsatzanalysen labelfreier MSE/HDMSE/UDMSE-Daten entwickelt. Mit den Hybridproteom-Proben und den Bewertungsmetriken wurde ein umfassendes System zur Evaluierung quantitativer Akquisitions- und Datenanalysesysteme vorgestellt.

Automatic Labeling of Software Components and their Evolution using Log-Likelihood Ratio of Word Frequencies in Source Code

As more and more open-source software components become available on the internet we need automatic ways to label and compare them. For example, a developer who searches for reusable software must be able to quickly gain an understanding of retrieved components. This understanding cannot be gained at the level of source code due to the semantic gap between source code and the domain model. In this paper we present a lexical approach that uses the log-likelihood ratios of word frequencies to automatically provide labels for software components. We present a prototype implementation of our labeling/comparison algorithm and provide examples of its application. In particular, we apply the approach to detect trends in the evolution of a software system.