962 resultados para Free and open source software
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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.
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En este documento está descrito detalladamente el trabajo realizado para completar todos objetivos marcados para este Trabajo de Fin de Grado, que tiene como meta final el desarrollo de un dashboard configurable de gestión y administración para instancias de OpenStack. OpenStack es una plataforma libre y de código abierto utilizada como solución de Infraestructura como Servicio (Infrastructure as a Service, IaaS) en clouds tanto públicos, que ofrecen sus servicios cobrando el tiempo de uso o los recursos utilizados, como privados para su utilización exclusiva en el entorno de una empresa. El proyecto OpenStack se inició como una colaboración entre la NASA y RackSpace, y a día de hoy es mantenido por las empresas más potentes del sector tecnológico a través de la Fundación OpenStack. La plataforma OpenStack permite el acceso a sus servicios a través de una Interfaz de Linea de Comandos (Command Line Interface, CLI), una API RESTful y una interfaz web en forma de dashboard. Esta última es ofrecida a través del servicio Horizon. Este servicio provee de una interfaz gráfica para acceder, gestionar y automatizar servicios basados en cloud. El dashboard de Horizon presente algunos problemas como que: solo admite opciones de configuración mediante código Python, lo que hace que el usuario no tenga ninguna capacidad de configuración y que el administrador esté obligado a interactuar directamente con el código. no tiene soporte para múltiples regiones que permitan que un usuario pueda distribuir sus recursos por distintos centros de datos en diversas localizaciones como más le convenga. El presente Trabajo de Fin de Grado, que es la fase inicial del proyecto FI-Dash, pretende solucionar estos problemas mediante el desarrollo de un catálogo de widget de la plataformaWireCloud que permitirán al usuario tener todas las funcionalidades ofrecidas por Horizon a la vez que le ofrecen capacidades de configuración y añaden funcionalidades no presentes en Horizon como el soporte de múltiples regiones. Como paso previo al desarrollo del catálogo de widgets se ha llevado a cabo un estudio de las tecnologías y servicios ofrecidos por OpenStack, así como de las herramientas que pudieran ser necesarias para la realización del trabajo. El proceso de desarrollo ha sido dividido en distintas fases de acuerdo con los distintos componentes que forman parte del dashboard cada uno con una funcion de gestion sobre un tipo de recurso distinto. Las otras fases del desarrollo han sido la integración completa del dashboard en la plataforma WireCloud y el diseño de una interfaz gráfica usable y atractiva.---ABSTRACT---Throughout this document it is described the work performed in order to achieve all of the objectives set for this Final Project, which has as its main goal the development of a configurable dashboard for managing and administrating OpenStack instances. OpenStack is a free and open source platform used as Infrastructure as a Service (IaaS) for both public clouds, which offer their services through payments on time or resources used, and private clouds for use only in the company’s environment. The OpenStack project started as a collaboration between NASA and Rackspace, and nowadays is maintained by the most powerful companies in the technology sector through the OpenStack Foundation. The OpenStack project provides access to its services through a Command Line Interface (CLI), a RESTful API and a web interface as dashboard. The latter is offered through a service called Horizon. This service provides a graphical interface to access, manage and automate cloud-based services. Horizon’s dashboard presents some problems such as: Only supports configuration options using Python code, which grants the user no configuration capabilities and forces the administrator to interact directly. No support for multiple regions that allow a user to allocate his resources by different data centers in different locations at his convenience. This Final Project, which is the initial stage of the FI-Dash project, aims to solve these problems by developing a catalog of widgets for the WireCloud platform that will allow the user to have all the features offered by Horizon while offering configuration capabilities and additional features not present in Horizon such as support for multiple regions. As a prelude to the development of the widget catalog, a study of technologies and services offered by OpenStack as well as tools that may be necessary to carry out the work has been conducted. The development process has been split in phases matching the different components that are part of the dashboard, having each one of them a function of management of one kind of resource. The other development phases have been the achieving of full integration with WireCloud and the design of a graphical interface that is both usable and atractive.
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The Digital Observatory for Protected Areas (DOPA) has been developed to support the European Union’s efforts in strengthening our capacity to mobilize and use biodiversity data, information and forecasts so that they are readily accessible to policymakers, managers, experts and other users. Conceived as a set of web based services, DOPA provides a broad set of free and open source tools to assess, monitor and even forecast the state of and pressure on protected areas at local, regional and global scale. DOPA Explorer 1.0 is a web based interface available in four languages (EN, FR, ES, PT) providing simple means to explore the nearly 16,000 protected areas that are at least as large as 100 km2. Distinguishing between terrestrial, marine and mixed protected areas, DOPA Explorer 1.0 can help end users to identify those with most unique ecosystems and species, and assess the pressures they are exposed to because of human development. Recognized by the UN Convention on Biological Diversity (CBD) as a reference information system, DOPA Explorer is based on the best global data sets available and provides means to rank protected areas at the country and ecoregion levels. Inversely, DOPA Explorer indirectly highlights the protected areas for which information is incomplete. We finally invite the end-users of DOPA to engage with us through the proposed communication platforms to help improve our work to support the safeguarding of biodiversity.
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The estimating of the relative orientation and position of a camera is one of the integral topics in the field of computer vision. The accuracy of a certain Finnish technology company’s traffic sign inventory and localization process can be improved by utilizing the aforementioned concept. The company’s localization process uses video data produced by a vehicle installed camera. The accuracy of estimated traffic sign locations depends on the relative orientation between the camera and the vehicle. This thesis proposes a computer vision based software solution which can estimate a camera’s orientation relative to the movement direction of the vehicle by utilizing video data. The task was solved by using feature-based methods and open source software. When using simulated data sets, the camera orientation estimates had an absolute error of 0.31 degrees on average. The software solution can be integrated to be a part of the traffic sign localization pipeline of the company in question.
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In this project a research both in finding predictors via clustering techniques and in reviewing the Data Mining free software is achieved. The research is based in a case of study, from where additionally to the KDD free software used by the scientific community; a new free tool for pre-processing the data is presented. The predictors are intended for the e-learning domain as the data from where these predictors have to be inferred are student qualifications from different e-learning environments. Through our case of study not only clustering algorithms are tested but also additional goals are proposed.
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Closing talk of the Open Access Week 2011 at the UOC, by Josep Jover. Why do altruistic strategies beat selfish ones in the spheres of both free software and the #15m movement? The #15m movement, like software but unlike tangible goods, cannot be owned. It can be used (by joining it) by an indeterminate number of people without depriving anyone else of the chance to do the same. And that turns everything on its head: how universities manage information and what their mission is in this new society. In the immediate future, universities will be valued not for the information they harbour, which will always be richer and more extensive beyond their walls, but rather for their capacity to create critical masses, whether of knowledge research, skill-building, or networks of peers... universities must implement the new model or risk becoming obsolete.
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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
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[EN]One of the main issues of the current education system is the lack of student motivation. This aspect together with the permanent change that the Information and Communications Technologies involve represents a major challenge for the teacher: to continuously update contents and to keep awake the student’s interest. A tremendously useful tool in classrooms consists on the integration of projects with participative and collaborative dynamics, where the teacher acts mainly as a guidance to the student activity instead of being a mere knowledge and evaluation transmitter. As a specific example of project based learning, the EDUROVs project consists on building an economic underwater robot using low cost materials, but allowing the integration and programming of many accessories and sensors with minimum budget using opensource hardware and software.
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O software tem vindo a tornar-se uma parte importante de qualquer empresa, cobrindo várias áreas funcionais, tais como manufaturação, vendas ou recursos humanos. O facto de uma empresa possuir um software capaz de ligar todas ou a maior parte das suas áreas funcionais e de acomodar as suas regras de negócio permite que estas tenham acesso a dados em tempo real nos quais se podem basear para tomar decisões. Estes tipos de software podem ser categorizados como Enterprise resource planning (ERP). Tendo em conta que estes tipos de software têm um papel importante dentro de uma empresa, a aquisição dos mesmos é algo que deve ser bem estudado. As grandes empresas normalmente optam pela aquisição de soluções comerciais uma vez que estas tendem a ter mais funcionalidades, maior suporte e certificações. Os ERPs comerciais representam, no entanto, um esforço elevado para que a sua compra possa ser feita, o que limita a possibilidade de aquisição dos mesmos por parte de pequenas ou médias empresas. No entanto, tal como acontece com a maior parte dos tipos de software, existem alternativas open-source. Se nos colocássemos na posição de uma pequena empresa, a tentar iniciar o seu negócio em Portugal, que tipo de ERP seria suficiente para os nossos requisitos? Teríamos que optar por comprar uma solução comercial, ou uma solução open-source seria suficiente? E se optássemos por desenvolver uma solução à medida? Esta tese irá responder a estas questões focando-se apenas num dos componentes base de qualquer ERP, a gestão de entidades. O componente de gestão de entidades é responsável por gerir todas as entidades com as quais a empresa interage abrangindo colaboradores, clientes, fornecedores, etc. A nível de funcionalidades será feita uma comparação entre um ERP comercial e um ERP open-source. Como os ERPs tendem a ser soluções muito genéricas é comum que estes não implementem todos os requisitos de um negócio em particular, como tal os ERPs precisam de ser extensíveis e adaptáveis. Para perceber até que ponto a solução open-source é extensível será feita uma análise técnica ao seu código fonte e será feita uma implementação parcial de um gerador de ficheiros de auditoria requerido pela lei Portuguesa, o SAF-T (PT). Ao estudar e adaptar a solução open-source podemos especificar o que teria que ser desenvolvido para podermos criar uma solução à medida de raiz.
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Advanced neuroinformatics tools are required for methods of connectome mapping, analysis, and visualization. The inherent multi-modality of connectome datasets poses new challenges for data organization, integration, and sharing. We have designed and implemented the Connectome Viewer Toolkit - a set of free and extensible open source neuroimaging tools written in Python. The key components of the toolkit are as follows: (1) The Connectome File Format is an XML-based container format to standardize multi-modal data integration and structured metadata annotation. (2) The Connectome File Format Library enables management and sharing of connectome files. (3) The Connectome Viewer is an integrated research and development environment for visualization and analysis of multi-modal connectome data. The Connectome Viewer's plugin architecture supports extensions with network analysis packages and an interactive scripting shell, to enable easy development and community contributions. Integration with tools from the scientific Python community allows the leveraging of numerous existing libraries for powerful connectome data mining, exploration, and comparison. We demonstrate the applicability of the Connectome Viewer Toolkit using Diffusion MRI datasets processed by the Connectome Mapper. The Connectome Viewer Toolkit is available from http://www.cmtk.org/
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Panel at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014