974 resultados para Open Source Software


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La idea de este proyecto es acercar la imagen de Libertad de Información y su conocida variante Open Source, donde cubriremos en detalle la multitud de puntos que abarca. Está dirigida a todos los usuarios que quieran conocer de primera mano cómo se inició la idea de Libertad Tecnológica hasta sus aplicaciones. No solo para aquellos que quieran emplearla, sino tambien para aquellos que la ya la usan y necesitan recursos para nuevas ideas. De esta forma, nos acercaremos tambien a la idea de libertad que en la tecnología está actualmente en debate. El contenido se estructura siguiendo las siguientes ramas:  Historia, desde sus orígenes hasta el presente.  Economía, ventajas y desventajas de esta libertad.  Problemas legales en distintos niveles  Noticias y actualizaciones de aplicaciones.  Sociedad, entorno a la aceptación y rechazo por los usuarios, ademas de su influencia en la ética, educación e innovación.  Aplicaciones, donde se incluirán la mayoría de las aplicaciones más conocidas en cada una de las ramas de Open Source. ---ABSTRACT---The topic finally chosen in the list of Professional Skills and Issues has been the Freedom of Information and its best known variant Open Source. We will try to cover in detail most of the points that includes history, economics, law, society and the various applications in which it have influenced. It allows all the public to see first-hand the term of Open Source, from its beginnings to applications. Not just for those who want to use it, but for those who already use it and want to find sources and new ideas. It will also get a step closer to the idea of Freedom of Information as currently being debated. The main branches are going to address:  History, from its origins to the present.  Economic, advantages and disadvantages of being free.  Laws, problems in different continents at the legal level.  News, latest in its various applications.  Society, acceptance or rejection by the people, addition to the factors that influence as ethics, education, and arts innovation.  Applications, where most try to include most current applications of each of the variants.

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El presente trabajo se centra en la investigación del modelo de crowdsourcing y su relación con la Información Geográfica Voluntaria y otras actividades participativas para la creación de conocimiento geográfico de forma colaborativa. Primero se expone una introducción al concepto y distintos ámbitos de aplicación y uso en la adquisición,visualización y análisis de datos geográficos, presentándose las herramientas, tecnologías web y móviles que han hecho posible su implementación. Después se hace una breve revisión de algunas plataformas de código abierto que faciliten la creación de contenido geolocalizado por el usuario y proporcionen funcionalidades para el análisis básico y manipulación de información mediante la implementación de estrategias de crowdsourcing. En los apartados siguientes, se hace un breve análisis de requisitos para el caso de uso específico de una aplicación móvil de crowdsourcing para el mantenimiento urbano, sirviendo este, como base en el desarrollo de una plataforma Web-móvil que facilite la gestión de este tipo de infraestructura. El diseño de la plataforma propuesta permite consultar y actualizar información por medio de etiquetas NFC (Near Field Communications o comunicación de campo cercano) utilizadas en el mobiliario urbano inventariado y empleando dispositivos inteligentes habilitados con la misma tecnología y conexión a Internet, para dar seguimiento y reportar el estado de la infraestructura. También, es posible generar reportes geolocalizados sobre problemas en instalaciones urbanas no inventariadas, así como crear eventos geolocalizados que convoquen a tareas participativas para la mejora de la ciudad. Además, integra entradas de conversación de redes sociales para contribuir a la participación activa de los ciudadanos en la vigilancia y mantenimiento urbano. Por último, el trabajo presenta algunas conclusiones y líneas futuras.

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ImageJ es un programa informático de tratamiento digital de imagen orientado principalmente hacia el ámbito de las ciencias de la salud. Se trata de un software de dominio público y de código abierto desarrollado en lenguaje Java en las instituciones del National Institutes of Health de Estados Unidos. Incluye por defecto potentes herramientas para editar, procesar y analizar imágenes de casi cualquier tipo y formato. Sin embargo, su mayor virtud reside en su extensibilidad: las funcionalidades de ImageJ pueden ampliarse hasta resolver casi cualquier problema de tratamiento digital de imagen mediante macros, scripts y, especialmente, plugins programables en lenguaje Java gracias a la API que ofrece. Además, ImageJ cuenta con repositorios oficiales en los que es posible obtener de forma gratuita macros, scripts y plugins aplicables en multitud de entornos gracias a la labor de la extensa comunidad de desarrolladores de ImageJ, que los depura, mejora y amplia frecuentemente. Este documento es la memoria de un proyecto que consiste en el análisis detallado de las herramientas de tratamiento digital de imagen que ofrece ImageJ. Tiene por objetivo determinar si ImageJ, a pesar de estar más enfocado a las ciencias de la salud, puede resultar útil en el entorno de la Escuela Técnica Superior de Ingeniería y Sistemas de Telecomunicación de la Universidad Politécnica de Madrid, y en tal caso, resaltar las características que pudieran resultar más beneficiosas en este ámbito y servir además como guía introductoria. En las siguientes páginas se examinan una a una las herramientas de ImageJ (versión 1.48q), su funcionamiento y los mecanismos subyacentes. Se sigue el orden marcado por los menús de la interfaz de usuario: el primer capítulo abarca las herramientas destinadas a la manipulación de imágenes en general (menú Image); el segundo, las herramientas de procesado (menú Process); el tercero, las herramientas de análisis (menú Analyze); y el cuarto y último, las herramientas relacionadas con la extensibilidad de ImageJ (menú Plugins). ABSTRACT. ImageJ is a digital image processing computer program which is mainly focused at the health sciences field. It is a public domain, open source software developed in Java language at the National Institutes of Health of the United States of America. It includes powerful built-in tools to edit, process and analyze almost every type of image in nearly every format. However, its main virtue is its extensibility: ImageJ functionalities can be widened to solve nearly every situation found in digital image processing through macros, scripts and, specially, plugins programmed in Java language thanks to the ImageJ API. In addition, ImageJ has official repositories where it is possible to freely get many different macros, scripts and plugins thanks to the work carried out by the ImageJ developers community, which continuously debug, improve and widen them. This document is a report which explains a detailed analysis of all the digital image processing tools offered by ImageJ. Its final goal is to determine if ImageJ can be useful to the environment of Escuela Tecnica Superior de Ingenierfa y Sistemas de Telecomunicacion of Universidad Politecnica de Madrid, in spite of being focused at the health sciences field. In such a case, it also aims to highlight the characteristics which could be more beneficial in this field, and serve as an introductory guide too. In the following pages, all of the ImageJ tools (version 1.48q) are examined one by one, as well as their work and the underlying mechanics. The document follows the order established by the menus in ImageJ: the first chapter covers all the tools destined to manipulate images in general (menu Image); the second one covers all the processing tools (menu Process); the third one includes analyzing tools (menu Analyze); and finally, the fourth one contains all those tools related to ImageJ extensibility (menu Plugins).

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This paper presents the Virtual Science Hub platform. It is an open source platform that combines a social network, an e-learning authoring tool, a videoconference service and a learning object repository for science teaching enrichment. These four main functionalities fit very well together. The platform was released in April 2012 and since then it has not stopped growing. Finally we present the results of the surveys conducted and the statistics gathered to validate this approach.

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Systematic evaluation of Learning Objects is essential to make high quality Web-based education possible. For this reason, several educational repositories and e-Learning systems have developed their own evaluation models and tools. However, the differences of the context in which Learning Objects are produced and consumed suggest that no single evaluation model is sufficient for all scenarios. Besides, no much effort has been put in developing open tools to facilitate Learning Object evaluation and use the quality information for the benefit of end users. This paper presents LOEP, an open source web platform that aims to facilitate Learning Object evaluation in different scenarios and educational settings by supporting and integrating several evaluation models and quality metrics. The work exposed in this paper shows that LOEP is capable of providing Learning Object evaluation to e-Learning systems in an open, low cost, reliable and effective way. Possible scenarios where LOEP could be used to implement quality control policies and to enhance search engines are also described. Finally, we report the results of a survey conducted among reviewers that used LOEP, showing that they perceived LOEP as a powerful and easy to use tool for evaluating Learning Objects.

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The Internet of Things makes use of a huge disparity of technologies at very different levels that help one to the other to accomplish goals that were previously regarded as unthinkable in terms of ubiquity or scalability. If the Internet of Things is expected to interconnect every day devices or appliances and enable communications between them, a broad range of new services, applications and products can be foreseen. For example, monitoring is a process where sensors have widespread use for measuring environmental parameters (temperature, light, chemical agents, etc.) but obtaining readings at the exact physical point they want to be obtained from, or about the exact wanted parameter can be a clumsy, time-consuming task that is not easily adaptable to new requirements. In order to tackle this challenge, a proposal on a system used to monitor any conceivable environment, which additionally is able to monitor the status of its own components and heal some of the most usual issues of a Wireless Sensor Network, is presented here in detail, covering all the layers that give it shape in terms of devices, communications or services.

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Traditional Text-To-Speech (TTS) systems have been developed using especially-designed non-expressive scripted recordings. In order to develop a new generation of expressive TTS systems in the Simple4All project, real recordings from the media should be used for training new voices with a whole new range of speaking styles. However, for processing this more spontaneous material, the new systems must be able to deal with imperfect data (multi-speaker recordings, background and foreground music and noise), filtering out low-quality audio segments and creating mono-speaker clusters. In this paper we compare several architectures for combining speaker diarization and music and noise detection which improve the precision and overall quality of the segmentation.

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During the process of design and development of an autonomous Multi-UAV System, two main problems appear. The first one is the difficulty of designing all the modules and behaviors of the aerial multi-robot system. The second one is the difficulty of having an autonomous prototype of the system for the developers that allows to test the performance of each module even in an early stage of the project. These two problems motivate this paper. A multipurpose system architecture for autonomous multi-UAV platforms is presented. This versatile system architecture can be used by the system designers as a template when developing their own systems. The proposed system architecture is general enough to be used in a wide range of applications, as demonstrated in the paper. This system architecture aims to be a reference for all designers. Additionally, to allow for the fast prototyping of autonomous multi-aerial systems, an Open Source framework based on the previously defined system architecture is introduced. It allows developers to have a flight proven multi-aerial system ready to use, so that they can test their algorithms even in an early stage of the project. The implementation of this framework, introduced in the paper with the name of “CVG Quadrotor Swarm”, which has also the advantages of being modular and compatible with different aerial platforms, can be found at https://​github.​com/​Vision4UAV/​cvg_​quadrotor_​swarm with a consistent catalog of available modules. The good performance of this framework is demonstrated in the paper by choosing a basic instance of it and carrying out simulation and experimental tests whose results are summarized and discussed in this paper.

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Machine vision is an important subject in computer science and engineering degrees. For laboratory experimentation, it is desirable to have a complete and easy-to-use tool. In this work we present a Java library, oriented to teaching computer vision. We have designed and built the library from the scratch with enfasis on readability and understanding rather than on efficiency. However, the library can also be used for research purposes. JavaVis is an open source Java library, oriented to the teaching of Computer Vision. It consists of a framework with several features that meet its demands. It has been designed to be easy to use: the user does not have to deal with internal structures or graphical interface, and should the student need to add a new algorithm it can be done simply enough. Once we sketch the library, we focus on the experience the student gets using this library in several computer vision courses. Our main goal is to find out whether the students understand what they are doing, that is, find out how much the library helps the student in grasping the basic concepts of computer vision. In the last four years we have conducted surveys to assess how much the students have improved their skills by using this library.

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The metacestode (larval) stage of the tapeworm Echinococcus multilocularis causes alveolar echinococcosis (AE), a very severe and in many cases incurable disease. To date, benzimidazoles such as albendazole and mebendazole are the only approved chemotherapeutical treatment options. Benzimidazoles inhibit metacestode proliferation, but do not act parasiticidal. Thus, benzimidazoles have to be taken a lifelong, can cause adverse side effects such as hepatotoxicity, and are ineffective in some patients. We here describe a newly developed screening cascade for the evaluation of the in vitro efficacy of new compounds that includes assessment of parasiticidal activity. The Malaria Box from Medicines for Malaria Venture (MMV), comprised of 400 commercially available chemicals that show in vitro activity against Plasmodium falciparum, was repurposed. Primary screening was carried out at 10 μM by employing the previously described PGI assay, and resulted in the identification of 24 compounds that caused physical damage in metacestodes. Seven out of these 24 drugs were also active at 1 μM. Dose-response assays revealed that only 2 compounds, namely MMV665807 and MMV665794, exhibited an EC50 value below 5 μM. Assessments using human foreskin fibroblasts and Reuber rat hepatoma cells showed that the salicylanilide MMV665807 was less toxic for these two mammalian cell lines than for metacestodes. The parasiticidal activity of MMV665807 was then confirmed using isolated germinal layer cell cultures as well as metacestode vesicles by employing viability assays, and its effect on metacestodes was morphologically evaluated by electron microscopy. However, both oral and intraperitoneal application of MMV665807 to mice experimentally infected with E. multilocularis metacestodes did not result in any reduction of the parasite load.

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Extensible Business Reporting Language (XBRL) is being adopted by European regulators as a data standard for the exchange of business information. This paper examines the approach of XBRL International (XII) to the meta-data standard's development and diffusion. We theorise the development of XBRL using concepts drawn from a model of successful open source projects. Comparison of the open source model to XBRL enables us to identify a number of interesting similarities and differences. In common with open source projects, the benefits and progress of XBRL have been overstated and 'hyped' by enthusiastic participants. While XBRL is an open data standard in terms of access to the equivalent of its 'source code' we find that the governance structure of the XBRL consortium is significantly different to a model open source approach. The barrier to participation that is created by requiring paid membership and a focus on transacting business at physical conferences and meetings is identified as particularly critical. Decisions about the technical structure of XBRL, the regulator-led pattern of adoption and the organisation of XII are discussed. Finally areas for future research are identified.

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ACM Computing Classification System (1998): H.5.2, H.2.8, J.2, H.5.3.

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Florida International University has undergone a reform in the introductory physics classes by focusing on the laboratory component of these classes. We present results from the secondary implementation of two research-based instructional strategies: the implementation of the Learning Assistant model as developed by the University of Colorado at Boulder and the Open Source Tutorial curriculum developed at the University of Maryland, College Park. We examine the results of the Force Concept Inventory (FCI) for introductory students over five years (n=872) and find that the mean raw gain of students in transformed lab sections was 0.243, while the mean raw gain of the traditional labs was 0.159, with a Cohen’s d effect size of 0.59. Average raw gains on the FCI were 0.243 for Hispanic students and 0.213 for women in the transformed labs, indicating that these reforms are not widening the gaps between underrepresented student groups and majority groups. Our results illustrate how research-based instructional strategies can be successfully implemented in a physics department with minimal department engagement and in a sustainable manner.