923 resultados para free and open source software


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En el presente texto se busca mostrar las capacidades explicativas que puede tener la conjunción entre las perspectivas de la ética hacker y la defensa de la propiedad intelectual para dar cuenta de las reacciones generalizadas de rechazo ante las normatividades de derechos de autor en el espacio digital. Así, se lleva a cabo un resumen de los principios de cada una de estas perspectivas dando cuenta de sus capacidades explicativas y características teóricas para, posteriormente, aplicarlas a la realidad empresarial, laboral y de opinión en el marco social contemporáneo. Cómo conclusión de este trabajo se logra observar que a pesar de que en principio ambas perspectivas podrían parecer contradictorias, existen aspectos comunes que permiten vislumbrar como un trabajo en conjunto permitiría generar normatividades que se acoplen a las realidades contemporáneas.

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Presentación que muestra una aplicación GIS propietaria de hace 15 años, junto con su nueva cara gracias al software libre. Se cuenta una arquitectura novedosa que incluye el uso del API de MapFish Server para lanzar geo-procesos, junto con el software stack de PostGIS, GeoWebCache y OpenLayers

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Los Centros de Investigación de Geografía son por lo general productores de un gran volumen de Información Geográfica (IG), los cuales generan tanto proyectos financiados como iniciativas de investigación individuales. El Centro de Estudos de Geografia e Planeamento Regional (e-GEO) ha estado involucrado en varios proyectos a escala local, regional, nacional e internacional. Recientemente, dos cuestiones fueron objeto de debate. Una de ellas fue el hecho de que la información espacial obtenida a partir del desarrollo de tales proyectos de investigación no ha tenido la visibilidad que se esperaba. En la mayoría de las veces, la IG de estos proyectos no estaba en el formato adecuado para que los investigadores -o incluso el público en general o grupos de interés- pudieran pesquisar fácilmente. La segunda cuestión era sobre cómo hacer que estos resultados pudieran ser accesibles al alcance de todos, en todos los lugares, fácilmente y con los mínimos costes para el Centro, teniendo en cuenta el actual contexto económico portugués y los intereses de e-GEO. Estas dos cuestiones se resuelven con una sola respuesta: la puesta en marcha de un WebGIS en una plataforma Open Source. En este trabajo se ilustra la producción de un instrumento para la difusión de las indicaciones geográficas en el World Wide Web, utilizando únicamente software libre y freeware. Esta herramienta permite a todos los investigadores del Centro publicar su IG, la cual aparece como plenamente accesible a cualquier usuario final. Potencialmente, el hecho de permitir que este tipo de información sea plenamente accesible debería generar un gran impacto, acortando las distancias entre el trabajo realizado por los académicos y el usuario final. Creemos que es una óptima manera para que el público pueda acceder e interpretar la información espacial. En conclusión, esta plataforma debería servir para cerrar la brecha entre productores y usuarios de la información geográfica, permitiendo la interacción entre todas las partes así como la carga de nuevos datos dado un conjunto de normas destinadas a control de calidad

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Ordinary differential equations are used for modelling a wide range of dynamic systems. Even though there are many graphical software applications for this purpose, a fully customised solution for all problems is code-level programming of the model and solver. In this project, a free and open source C++ framework is designed to facilitate modelling in native code environment and fulfill the common simulation needs of control and many other engineering and science applications. The solvers of this project are obtained from ODEINT and specialised for Armadillo matrix library to provide an easy syntax and a fast execution. The solver code is minimised and its modification for users have become easier. There are several features added to the solvers such as controlling maximum step size, informing the solver about sudden input change and forcing custom times into the results and calling a custom method at these points. The comfort of the model designer, code readability, extendibility and model isolation have been considered in the structure of this framework. The application manages the output results, exporting and plotting them. Modifying the model has become more practical and a portion of corresponding codes are updated automatically. A set of libraries is provided for generation of output figures, matrix hashing, control system functions, profiling, etc. In this paper, an example of using this framework for a classical washout filter model is explained.

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Genome-wide association studies (GWAS) are used to discover genes underlying complex, heritable disorders for which less powerful study designs have failed in the past. The number of GWAS has skyrocketed recently with findings reported in top journals and the mainstream media. Mircorarrays are the genotype calling technology of choice in GWAS as they permit exploration of more than a million single nucleotide polymorphisms (SNPs)simultaneously. The starting point for the statistical analyses used by GWAS, to determine association between loci and disease, are genotype calls (AA, AB, or BB). However, the raw data, microarray probe intensities, are heavily processed before arriving at these calls. Various sophisticated statistical procedures have been proposed for transforming raw data into genotype calls. We find that variability in microarray output quality across different SNPs, different arrays, and different sample batches has substantial inuence on the accuracy of genotype calls made by existing algorithms. Failure to account for these sources of variability, GWAS run the risk of adversely affecting the quality of reported findings. In this paper we present solutions based on a multi-level mixed model. Software implementation of the method described in this paper is available as free and open source code in the crlmm R/BioConductor.

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Die vierte Ausgabe der Open Source Schweiz Studie beschreibt die Erfahrungen und Meinungen von 200 Schweizer Organisationen mit Open Source Software. 38 Behörden, 98 ICT-Unternehmen sowie 64 Firmen und Organisationen aus anderen Branchen haben Einblick gegeben, wie und weshalb sie Open Source Software einsetzen und wo die Hindernisse liegen.

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Antecedentes. La creciente importancia del Open Source Software (OSS) ha llevado a los investigadores a estudiar cómo los procesos OSS difieren de los procesos de la ingeniería del software tradicional. Objetivo. Determinar las diferencias y similitudes entre las actividades del proceso de mantenimiento seguido por la comunidad OSS y el establecido por el estándar IEEE 1074:2006. Método. Para conocer las actividades que conforman el proceso de desarrollo OSS realizamos un Systematic Mapping Study. Posteriormente, realizamos un emparejamiento entre las actividades del estándar IEEE 1074:2006 con las actividades del proceso OSS. Resultados. Encontramos un total de 22 estudios primarios. De estos estudios, el 73% contaba con actividades relacionadas con el proceso de mantenimiento. Conclusiones. El proceso de mantenimiento tradicional del software no encaja con lo que ocurre en la comunidad OSS. En su lugar, puede ser mejor caracterizar la dinámica general de la evolución OSS como reinvención. Esta reinvención emerge continuamente de la adaptación, aprendizaje, y mejora de las funcionalidadess y calidad del OSS. Los proyectos OSS evolucionan a través de mejoras menores donde participan tanto usuarios como desarrolladores.

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Learning Management Systems (LMSs) have become a larger part of teaching and learning in the modern world. Therefore has Moodle, a free and open source e-learning tool surfaced and gained a lot of attraction and downloads. A purpose of this study has been to develop a new local plugin in Moodle with guidelines from Magnus Eriksson and Tsedey Terefe. A purpose for this project has also been to build a plugin which has the functions Date rollover and Individual date adjustment. Mid Sweden University (Miun) stated that WebCT/Blackboard was in use before Moodle and some other LMSs and the dissatisfaction with WebCT/Blackboard was rife, however some teachers liked it. Therefore WebCT/Blackboard was abandoned and Moodle was embraced. The methods of gaining information has generally been web based sources and three interviews, likewise called user tests. Programs and other aids that have been used include but are not limited to: Google Drive, LTI Provider, Moodle, Moodle documentation, Notepad++, PHP and XAMPP. The plugin has been implemented as a local plugin. The result has shown that the coded plugin, Date adjustment tools could be improved and that it was changed. In the plugin, support for old American English dates were added and the code for using the two functions “Date rollover” and “Individual date adjustment” were rewritten to not interfere with one another. A conclusion to draw from the result is that the plugin has been improved from Terefe’s implementation, although more work can be made with the plugin Date adjustment tools.

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Recent changes in IT organisations have resulted in changes to library IT support. Concurrently, new tools and systems for service delivery, have become available, but these require a move away from the traditional ICT model. Many libraries are investigating new models, including Software as a Service (SaaS), cloud computing and open source software. This paper considers whether the adoption of these tools and environments by libraries has occurred as a result of a lack of suitable ICT solutions and support ICT organisations. It also considers what skills library staff need in order to ensure sustainability, supportability, and ultimately, success.

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Pós-graduação em Ciência da Computação - IBILCE

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[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.

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Abstract Radiation metabolomics employing mass spectral technologies represents a plausible means of high-throughput minimally invasive radiation biodosimetry. A simplified metabolomics protocol is described that employs ubiquitous gas chromatography-mass spectrometry and open source software including random forests machine learning algorithm to uncover latent biomarkers of 3 Gy gamma radiation in rats. Urine was collected from six male Wistar rats and six sham-irradiated controls for 7 days, 4 prior to irradiation and 3 after irradiation. Water and food consumption, urine volume, body weight, and sodium, potassium, calcium, chloride, phosphate and urea excretion showed major effects from exposure to gamma radiation. The metabolomics protocol uncovered several urinary metabolites that were significantly up-regulated (glyoxylate, threonate, thymine, uracil, p-cresol) and down-regulated (citrate, 2-oxoglutarate, adipate, pimelate, suberate, azelaate) as a result of radiation exposure. Thymine and uracil were shown to derive largely from thymidine and 2'-deoxyuridine, which are known radiation biomarkers in the mouse. The radiation metabolomic phenotype in rats appeared to derive from oxidative stress and effects on kidney function. Gas chromatography-mass spectrometry is a promising platform on which to develop the field of radiation metabolomics further and to assist in the design of instrumentation for use in detecting biological consequences of environmental radiation release.

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The private-collective innovation model proposes incentives for individuals and firms to privately invest resources to create public goods innovations. Such innovations are characterized by non-rivalry and non-exclusivity in consumption. Examples include open source software, user-generated media products, drug formulas, and sport equipment designs. There is still limited empirical research on private-collective innovation. We present a case study to (1) provide empirical evidence of a case of private-collective innovation, showing specific benefits, and (2) to extend the private-collective innovation model by analyzing the hidden costs for the company involved. We examine the development of the Nokia Internet Tablet, which builds on both proprietary and open source software development, and that involves both Nokia developers and volunteers who are not employed by the company. Seven benefits for Nokia are identified, as are five hidden costs: difficulty to differentiate, guarding business secrets, reducing community entry barriers, giving up control, and organizational inertia. We examine the actions taken by the management to mitigate these costs throughout the development period.

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The primary hypothesis stated by this paper is that the use of social choice theory in Ambient Intelligence systems can improve significantly users satisfaction when accessing shared resources. A research methodology based on agent based social simulations is employed to support this hypothesis and to evaluate these benefits. The result is a six-fold contribution summarized as follows. Firstly, several considerable differences between this application case and the most prominent social choice application, political elections, have been found and described. Secondly, given these differences, a number of metrics to evaluate different voting systems in this scope have been proposed and formalized. Thirdly, given the presented application and the metrics proposed, the performance of a number of well known electoral systems is compared. Fourthly, as a result of the performance study, a novel voting algorithm capable of obtaining the best balance between the metrics reviewed is introduced. Fifthly, to improve the social welfare in the experiments, the voting methods are combined with cluster analysis techniques. Finally, the article is complemented by a free and open-source tool, VoteSim, which ensures not only the reproducibility of the experimental results presented, but also allows the interested reader to adapt the case study presented to different environments.

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The conception of IoT (Internet of Things) is accepted as the future tendency of Internet among academia and industry. It will enable people and things to be connected at anytime and anyplace, with anything and anyone. IoT has been proposed to be applied into many areas such as Healthcare, Transportation,Logistics, and Smart environment etc. However, this thesis emphasizes on the home healthcare area as it is the potential healthcare model to solve many problems such as the limited medical resources, the increasing demands for healthcare from elderly and chronic patients which the traditional model is not capable of. A remarkable change in IoT in semantic oriented vision is that vast sensors or devices are involved which could generate enormous data. Methods to manage the data including acquiring, interpreting, processing and storing data need to be implemented. Apart from this, other abilities that IoT is not capable of are concluded, namely, interoperation, context awareness and security & privacy. Context awareness is an emerging technology to manage and take advantage of context to enable any type of system to provide personalized services. The aim of this thesis is to explore ways to facilitate context awareness in IoT. In order to realize this objective, a preliminary research is carried out in this thesis. The most basic premise to realize context awareness is to collect, model, understand, reason and make use of context. A complete literature review for the existing context modelling and context reasoning techniques is conducted. The conclusion is that the ontology-based context modelling and ontology-based context reasoning are the most promising and efficient techniques to manage context. In order to fuse ontology into IoT, a specific ontology-based context awareness framework is proposed for IoT applications. In general, the framework is composed of eight components which are hardware, UI (User Interface), Context modelling, Context fusion, Context reasoning, Context repository, Security unit and Context dissemination. Moreover, on the basis of TOVE (Toronto Virtual Enterprise), a formal ontology developing methodology is proposed and illustrated which consists of four stages: Specification & Conceptualization, Competency Formulation, Implementation and Validation & Documentation. In addition, a home healthcare scenario is elaborated by listing its well-defined functionalities. Aiming at representing this specific scenario, the proposed ontology developing methodology is applied and the ontology-based model is developed in a free and open-source ontology editor called Protégé. Finally, the accuracy and completeness of the proposed ontology are validated to show that this proposed ontology is able to accurately represent the scenario of interest.