897 resultados para end-to-end testing, javascript, application web, single-page application
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This paper describes a novel architecture to introduce automatic annotation and processing of semantic sensor data within context-aware applications. Based on the well-known state-charts technologies, and represented using W3C SCXML language combined with Semantic Web technologies, our architecture is able to provide enriched higher-level semantic representations of user’s context. This capability to detect and model relevant user situations allows a seamless modeling of the actual interaction situation, which can be integrated during the design of multimodal user interfaces (also based on SCXML) for them to be adequately adapted. Therefore, the final result of this contribution can be described as a flexible context-aware SCXML-based architecture, suitable for both designing a wide range of multimodal context-aware user interfaces, and implementing the automatic enrichment of sensor data, making it available to the entire Semantic Sensor Web
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OntoTag - A Linguistic and Ontological Annotation Model Suitable for the Semantic Web
1. INTRODUCTION. LINGUISTIC TOOLS AND ANNOTATIONS: THEIR LIGHTS AND SHADOWS
Computational Linguistics is already a consolidated research area. It builds upon the results of other two major ones, namely Linguistics and Computer Science and Engineering, and it aims at developing computational models of human language (or natural language, as it is termed in this area). Possibly, its most well-known applications are the different tools developed so far for processing human language, such as machine translation systems and speech recognizers or dictation programs.
These tools for processing human language are commonly referred to as linguistic tools. Apart from the examples mentioned above, there are also other types of linguistic tools that perhaps are not so well-known, but on which most of the other applications of Computational Linguistics are built. These other types of linguistic tools comprise POS taggers, natural language parsers and semantic taggers, amongst others. All of them can be termed linguistic annotation tools.
Linguistic annotation tools are important assets. In fact, POS and semantic taggers (and, to a lesser extent, also natural language parsers) have become critical resources for the computer applications that process natural language. Hence, any computer application that has to analyse a text automatically and ‘intelligently’ will include at least a module for POS tagging. The more an application needs to ‘understand’ the meaning of the text it processes, the more linguistic tools and/or modules it will incorporate and integrate.
However, linguistic annotation tools have still some limitations, which can be summarised as follows:
1. Normally, they perform annotations only at a certain linguistic level (that is, Morphology, Syntax, Semantics, etc.).
2. They usually introduce a certain rate of errors and ambiguities when tagging. This error rate ranges from 10 percent up to 50 percent of the units annotated for unrestricted, general texts.
3. Their annotations are most frequently formulated in terms of an annotation schema designed and implemented ad hoc.
A priori, it seems that the interoperation and the integration of several linguistic tools into an appropriate software architecture could most likely solve the limitations stated in (1). Besides, integrating several linguistic annotation tools and making them interoperate could also minimise the limitation stated in (2). Nevertheless, in the latter case, all these tools should produce annotations for a common level, which would have to be combined in order to correct their corresponding errors and inaccuracies. Yet, the limitation stated in (3) prevents both types of integration and interoperation from being easily achieved.
In addition, most high-level annotation tools rely on other lower-level annotation tools and their outputs to generate their own ones. For example, sense-tagging tools (operating at the semantic level) often use POS taggers (operating at a lower level, i.e., the morphosyntactic) to identify the grammatical category of the word or lexical unit they are annotating. Accordingly, if a faulty or inaccurate low-level annotation tool is to be used by other higher-level one in its process, the errors and inaccuracies of the former should be minimised in advance. Otherwise, these errors and inaccuracies would be transferred to (and even magnified in) the annotations of the high-level annotation tool.
Therefore, it would be quite useful to find a way to
(i) correct or, at least, reduce the errors and the inaccuracies of lower-level linguistic tools;
(ii) unify the annotation schemas of different linguistic annotation tools or, more generally speaking, make these tools (as well as their annotations) interoperate.
Clearly, solving (i) and (ii) should ease the automatic annotation of web pages by means of linguistic tools, and their transformation into Semantic Web pages (Berners-Lee, Hendler and Lassila, 2001). Yet, as stated above, (ii) is a type of interoperability problem. There again, ontologies (Gruber, 1993; Borst, 1997) have been successfully applied thus far to solve several interoperability problems. Hence, ontologies should help solve also the problems and limitations of linguistic annotation tools aforementioned.
Thus, to summarise, the main aim of the present work was to combine somehow these separated approaches, mechanisms and tools for annotation from Linguistics and Ontological Engineering (and the Semantic Web) in a sort of hybrid (linguistic and ontological) annotation model, suitable for both areas. This hybrid (semantic) annotation model should (a) benefit from the advances, models, techniques, mechanisms and tools of these two areas; (b) minimise (and even solve, when possible) some of the problems found in each of them; and (c) be suitable for the Semantic Web. The concrete goals that helped attain this aim are presented in the following section.
2. GOALS OF THE PRESENT WORK
As mentioned above, the main goal of this work was to specify a hybrid (that is, linguistically-motivated and ontology-based) model of annotation suitable for the Semantic Web (i.e. it had to produce a semantic annotation of web page contents). This entailed that the tags included in the annotations of the model had to (1) represent linguistic concepts (or linguistic categories, as they are termed in ISO/DCR (2008)), in order for this model to be linguistically-motivated; (2) be ontological terms (i.e., use an ontological vocabulary), in order for the model to be ontology-based; and (3) be structured (linked) as a collection of ontology-based
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Presenting relevant information via web-based user friendly interfac- es makes the information more accessible to the general public. This is especial- ly useful for sensor networks that monitor natural environments. Adequately communicating this type of information helps increase awareness about the limited availability of natural resources and promotes their better use with sus- tainable practices. In this paper, I suggest an approach to communicating this information to wide audiences based on simulating data journalism using artifi- cial intelligence techniques. I analyze this approach by describing a pioneer knowledge-based system called VSAIH, which looks for news in hydrological data from a national sensor network in Spain and creates news stories that gen- eral users can understand. VSAIH integrates artificial intelligence techniques, including a model-based data analyzer and a presentation planner. In the paper, I also describe characteristics of the hydrological national sensor network and the technical solutions applied by VSAIH to simulate data journalism.
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Lexica and terminology databases play a vital role in many NLP applications, but currently most such resources are published in application-specific formats, or with custom access interfaces, leading to the problem that much of this data is in ‘‘data silos’’ and hence difficult to access. The Semantic Web and in particular the Linked Data initiative provide effective solutions to this problem, as well as possibilities for data reuse by inter-lexicon linking, and incorporation of data categories by dereferencable URIs. The Semantic Web focuses on the use of ontologies to describe semantics on the Web, but currently there is no standard for providing complex lexical information for such ontologies and for describing the relationship between the lexicon and the ontology. We present our model, lemon, which aims to address these gaps
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This PhD thesis contributes to the problem of resource and service discovery in the context of the composable web. In the current web, mashup technologies allow developers reusing services and contents to build new web applications. However, developers face a problem of information flood when searching for appropriate services or resources for their combination. To contribute to overcoming this problem, a framework is defined for the discovery of services and resources. In this framework, three levels are defined for performing discovery at content, discovery and agente levels. The content level involves the information available in web resources. The web follows the Representational Stateless Transfer (REST) architectural style, in which resources are returned as representations from servers to clients. These representations usually employ the HyperText Markup Language (HTML), which, along with Content Style Sheets (CSS), describes the markup employed to render representations in a web browser. Although the use of SemanticWeb standards such as Resource Description Framework (RDF) make this architecture suitable for automatic processes to use the information present in web resources, these standards are too often not employed, so automation must rely on processing HTML. This process, often referred as Screen Scraping in the literature, is the content discovery according to the proposed framework. At this level, discovery rules indicate how the different pieces of data in resources’ representations are mapped onto semantic entities. By processing discovery rules on web resources, semantically described contents can be obtained out of them. The service level involves the operations that can be performed on the web. The current web allows users to perform different tasks such as search, blogging, e-commerce, or social networking. To describe the possible services in RESTful architectures, a high-level feature-oriented service methodology is proposed at this level. This lightweight description framework allows defining service discovery rules to identify operations in interactions with REST resources. The discovery is thus performed by applying discovery rules to contents discovered in REST interactions, in a novel process called service probing. Also, service discovery can be performed by modelling services as contents, i.e., by retrieving Application Programming Interface (API) documentation and API listings in service registries such as ProgrammableWeb. For this, a unified model for composable components in Mashup-Driven Development (MDD) has been defined after the analysis of service repositories from the web. The agent level involves the orchestration of the discovery of services and contents. At this level, agent rules allow to specify behaviours for crawling and executing services, which results in the fulfilment of a high-level goal. Agent rules are plans that allow introspecting the discovered data and services from the web and the knowledge present in service and content discovery rules to anticipate the contents and services to be found on specific resources from the web. By the definition of plans, an agent can be configured to target specific resources. The discovery framework has been evaluated on different scenarios, each one covering different levels of the framework. Contenidos a la Carta project deals with the mashing-up of news from electronic newspapers, and the framework was used for the discovery and extraction of pieces of news from the web. Similarly, in Resulta and VulneraNET projects the discovery of ideas and security knowledge in the web is covered, respectively. The service level is covered in the OMELETTE project, where mashup components such as services and widgets are discovered from component repositories from the web. The agent level is applied to the crawling of services and news in these scenarios, highlighting how the semantic description of rules and extracted data can provide complex behaviours and orchestrations of tasks in the web. The main contributions of the thesis are the unified framework for discovery, which allows configuring agents to perform automated tasks. Also, a scraping ontology has been defined for the construction of mappings for scraping web resources. A novel first-order logic rule induction algorithm is defined for the automated construction and maintenance of these mappings out of the visual information in web resources. Additionally, a common unified model for the discovery of services is defined, which allows sharing service descriptions. Future work comprises the further extension of service probing, resource ranking, the extension of the Scraping Ontology, extensions of the agent model, and contructing a base of discovery rules. Resumen La presente tesis doctoral contribuye al problema de descubrimiento de servicios y recursos en el contexto de la web combinable. En la web actual, las tecnologías de combinación de aplicaciones permiten a los desarrolladores reutilizar servicios y contenidos para construir nuevas aplicaciones web. Pese a todo, los desarrolladores afrontan un problema de saturación de información a la hora de buscar servicios o recursos apropiados para su combinación. Para contribuir a la solución de este problema, se propone un marco de trabajo para el descubrimiento de servicios y recursos. En este marco, se definen tres capas sobre las que se realiza descubrimiento a nivel de contenido, servicio y agente. El nivel de contenido involucra a la información disponible en recursos web. La web sigue el estilo arquitectónico Representational Stateless Transfer (REST), en el que los recursos son devueltos como representaciones por parte de los servidores a los clientes. Estas representaciones normalmente emplean el lenguaje de marcado HyperText Markup Language (HTML), que, unido al estándar Content Style Sheets (CSS), describe el marcado empleado para mostrar representaciones en un navegador web. Aunque el uso de estándares de la web semántica como Resource Description Framework (RDF) hace apta esta arquitectura para su uso por procesos automatizados, estos estándares no son empleados en muchas ocasiones, por lo que cualquier automatización debe basarse en el procesado del marcado HTML. Este proceso, normalmente conocido como Screen Scraping en la literatura, es el descubrimiento de contenidos en el marco de trabajo propuesto. En este nivel, un conjunto de reglas de descubrimiento indican cómo los diferentes datos en las representaciones de recursos se corresponden con entidades semánticas. Al procesar estas reglas sobre recursos web, pueden obtenerse contenidos descritos semánticamente. El nivel de servicio involucra las operaciones que pueden ser llevadas a cabo en la web. Actualmente, los usuarios de la web pueden realizar diversas tareas como búsqueda, blogging, comercio electrónico o redes sociales. Para describir los posibles servicios en arquitecturas REST, se propone en este nivel una metodología de alto nivel para descubrimiento de servicios orientada a funcionalidades. Este marco de descubrimiento ligero permite definir reglas de descubrimiento de servicios para identificar operaciones en interacciones con recursos REST. Este descubrimiento es por tanto llevado a cabo al aplicar las reglas de descubrimiento sobre contenidos descubiertos en interacciones REST, en un nuevo procedimiento llamado sondeo de servicios. Además, el descubrimiento de servicios puede ser llevado a cabo mediante el modelado de servicios como contenidos. Es decir, mediante la recuperación de documentación de Application Programming Interfaces (APIs) y listas de APIs en registros de servicios como ProgrammableWeb. Para ello, se ha definido un modelo unificado de componentes combinables para Mashup-Driven Development (MDD) tras el análisis de repositorios de servicios de la web. El nivel de agente involucra la orquestación del descubrimiento de servicios y contenidos. En este nivel, las reglas de nivel de agente permiten especificar comportamientos para el rastreo y ejecución de servicios, lo que permite la consecución de metas de mayor nivel. Las reglas de los agentes son planes que permiten la introspección sobre los datos y servicios descubiertos, así como sobre el conocimiento presente en las reglas de descubrimiento de servicios y contenidos para anticipar contenidos y servicios por encontrar en recursos específicos de la web. Mediante la definición de planes, un agente puede ser configurado para descubrir recursos específicos. El marco de descubrimiento ha sido evaluado sobre diferentes escenarios, cada uno cubriendo distintos niveles del marco. El proyecto Contenidos a la Carta trata de la combinación de noticias de periódicos digitales, y en él el framework se ha empleado para el descubrimiento y extracción de noticias de la web. De manera análoga, en los proyectos Resulta y VulneraNET se ha llevado a cabo un descubrimiento de ideas y de conocimientos de seguridad, respectivamente. El nivel de servicio se cubre en el proyecto OMELETTE, en el que componentes combinables como servicios y widgets se descubren en repositorios de componentes de la web. El nivel de agente se aplica al rastreo de servicios y noticias en estos escenarios, mostrando cómo la descripción semántica de reglas y datos extraídos permiten proporcionar comportamientos complejos y orquestaciones de tareas en la web. Las principales contribuciones de la tesis son el marco de trabajo unificado para descubrimiento, que permite configurar agentes para realizar tareas automatizadas. Además, una ontología de extracción ha sido definida para la construcción de correspondencias y extraer información de recursos web. Asimismo, un algoritmo para la inducción de reglas de lógica de primer orden se ha definido para la construcción y el mantenimiento de estas correspondencias a partir de la información visual de recursos web. Adicionalmente, se ha definido un modelo común y unificado para el descubrimiento de servicios que permite la compartición de descripciones de servicios. Como trabajos futuros se considera la extensión del sondeo de servicios, clasificación de recursos, extensión de la ontología de extracción y la construcción de una base de reglas de descubrimiento.
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We provide an overall description of the Ciao multiparadigm programming system emphasizing some of the novel aspects and motivations behind its design and implementation. An important aspect of Ciao is that, in addition to supporting logic programming (and, in particular, Prolog), it provides the programmer with a large number of useful features from different programming paradigms and styles and that the use of each of these features (including those of Prolog) can be turned on and off at will for each program module. Thus, a given module may be using, e.g., higher order functions and constraints, while another module may be using assignment, predicates, Prolog meta-programming, and concurrency. Furthermore, the language is designed to be extensible in a simple and modular way. Another important aspect of Ciao is its programming environment, which provides a powerful preprocessor (with an associated assertion language) capable of statically finding non-trivial bugs, verifying that programs comply with specifications, and performing many types of optimizations (including automatic parallelization). Such optimizations produce code that is highly competitive with other dynamic languages or, with the (experimental) optimizing compiler, even that of static languages, all while retaining the flexibility and interactive development of a dynamic language. This compilation architecture supports modularity and separate compilation throughout. The environment also includes a powerful autodocumenter and a unit testing framework, both closely integrated with the assertion system. The paper provides an informal overview of the language and program development environment. It aims at illustrating the design philosophy rather than at being exhaustive, which would be impossible in a single journal paper, pointing instead to previous Ciao literature.
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Machine learning techniques are used for extracting valuable knowledge from data. Nowa¬days, these techniques are becoming even more important due to the evolution in data ac¬quisition and storage, which is leading to data with different characteristics that must be exploited. Therefore, advances in data collection must be accompanied with advances in machine learning techniques to solve new challenges that might arise, on both academic and real applications. There are several machine learning techniques depending on both data characteristics and purpose. Unsupervised classification or clustering is one of the most known techniques when data lack of supervision (unlabeled data) and the aim is to discover data groups (clusters) according to their similarity. On the other hand, supervised classification needs data with supervision (labeled data) and its aim is to make predictions about labels of new data. The presence of data labels is a very important characteristic that guides not only the learning task but also other related tasks such as validation. When only some of the available data are labeled whereas the others remain unlabeled (partially labeled data), neither clustering nor supervised classification can be used. This scenario, which is becoming common nowadays because of labeling process ignorance or cost, is tackled with semi-supervised learning techniques. This thesis focuses on the branch of semi-supervised learning closest to clustering, i.e., to discover clusters using available labels as support to guide and improve the clustering process. Another important data characteristic, different from the presence of data labels, is the relevance or not of data features. Data are characterized by features, but it is possible that not all of them are relevant, or equally relevant, for the learning process. A recent clustering tendency, related to data relevance and called subspace clustering, claims that different clusters might be described by different feature subsets. This differs from traditional solutions to data relevance problem, where a single feature subset (usually the complete set of original features) is found and used to perform the clustering process. The proximity of this work to clustering leads to the first goal of this thesis. As commented above, clustering validation is a difficult task due to the absence of data labels. Although there are many indices that can be used to assess the quality of clustering solutions, these validations depend on clustering algorithms and data characteristics. Hence, in the first goal three known clustering algorithms are used to cluster data with outliers and noise, to critically study how some of the most known validation indices behave. The main goal of this work is however to combine semi-supervised clustering with subspace clustering to obtain clustering solutions that can be correctly validated by using either known indices or expert opinions. Two different algorithms are proposed from different points of view to discover clusters characterized by different subspaces. For the first algorithm, available data labels are used for searching for subspaces firstly, before searching for clusters. This algorithm assigns each instance to only one cluster (hard clustering) and is based on mapping known labels to subspaces using supervised classification techniques. Subspaces are then used to find clusters using traditional clustering techniques. The second algorithm uses available data labels to search for subspaces and clusters at the same time in an iterative process. This algorithm assigns each instance to each cluster based on a membership probability (soft clustering) and is based on integrating known labels and the search for subspaces into a model-based clustering approach. The different proposals are tested using different real and synthetic databases, and comparisons to other methods are also included when appropriate. Finally, as an example of real and current application, different machine learning tech¬niques, including one of the proposals of this work (the most sophisticated one) are applied to a task of one of the most challenging biological problems nowadays, the human brain model¬ing. Specifically, expert neuroscientists do not agree with a neuron classification for the brain cortex, which makes impossible not only any modeling attempt but also the day-to-day work without a common way to name neurons. Therefore, machine learning techniques may help to get an accepted solution to this problem, which can be an important milestone for future research in neuroscience. Resumen Las técnicas de aprendizaje automático se usan para extraer información valiosa de datos. Hoy en día, la importancia de estas técnicas está siendo incluso mayor, debido a que la evolución en la adquisición y almacenamiento de datos está llevando a datos con diferentes características que deben ser explotadas. Por lo tanto, los avances en la recolección de datos deben ir ligados a avances en las técnicas de aprendizaje automático para resolver nuevos retos que pueden aparecer, tanto en aplicaciones académicas como reales. Existen varias técnicas de aprendizaje automático dependiendo de las características de los datos y del propósito. La clasificación no supervisada o clustering es una de las técnicas más conocidas cuando los datos carecen de supervisión (datos sin etiqueta), siendo el objetivo descubrir nuevos grupos (agrupaciones) dependiendo de la similitud de los datos. Por otra parte, la clasificación supervisada necesita datos con supervisión (datos etiquetados) y su objetivo es realizar predicciones sobre las etiquetas de nuevos datos. La presencia de las etiquetas es una característica muy importante que guía no solo el aprendizaje sino también otras tareas relacionadas como la validación. Cuando solo algunos de los datos disponibles están etiquetados, mientras que el resto permanece sin etiqueta (datos parcialmente etiquetados), ni el clustering ni la clasificación supervisada se pueden utilizar. Este escenario, que está llegando a ser común hoy en día debido a la ignorancia o el coste del proceso de etiquetado, es abordado utilizando técnicas de aprendizaje semi-supervisadas. Esta tesis trata la rama del aprendizaje semi-supervisado más cercana al clustering, es decir, descubrir agrupaciones utilizando las etiquetas disponibles como apoyo para guiar y mejorar el proceso de clustering. Otra característica importante de los datos, distinta de la presencia de etiquetas, es la relevancia o no de los atributos de los datos. Los datos se caracterizan por atributos, pero es posible que no todos ellos sean relevantes, o igualmente relevantes, para el proceso de aprendizaje. Una tendencia reciente en clustering, relacionada con la relevancia de los datos y llamada clustering en subespacios, afirma que agrupaciones diferentes pueden estar descritas por subconjuntos de atributos diferentes. Esto difiere de las soluciones tradicionales para el problema de la relevancia de los datos, en las que se busca un único subconjunto de atributos (normalmente el conjunto original de atributos) y se utiliza para realizar el proceso de clustering. La cercanía de este trabajo con el clustering lleva al primer objetivo de la tesis. Como se ha comentado previamente, la validación en clustering es una tarea difícil debido a la ausencia de etiquetas. Aunque existen muchos índices que pueden usarse para evaluar la calidad de las soluciones de clustering, estas validaciones dependen de los algoritmos de clustering utilizados y de las características de los datos. Por lo tanto, en el primer objetivo tres conocidos algoritmos se usan para agrupar datos con valores atípicos y ruido para estudiar de forma crítica cómo se comportan algunos de los índices de validación más conocidos. El objetivo principal de este trabajo sin embargo es combinar clustering semi-supervisado con clustering en subespacios para obtener soluciones de clustering que puedan ser validadas de forma correcta utilizando índices conocidos u opiniones expertas. Se proponen dos algoritmos desde dos puntos de vista diferentes para descubrir agrupaciones caracterizadas por diferentes subespacios. Para el primer algoritmo, las etiquetas disponibles se usan para bus¬car en primer lugar los subespacios antes de buscar las agrupaciones. Este algoritmo asigna cada instancia a un único cluster (hard clustering) y se basa en mapear las etiquetas cono-cidas a subespacios utilizando técnicas de clasificación supervisada. El segundo algoritmo utiliza las etiquetas disponibles para buscar de forma simultánea los subespacios y las agru¬paciones en un proceso iterativo. Este algoritmo asigna cada instancia a cada cluster con una probabilidad de pertenencia (soft clustering) y se basa en integrar las etiquetas conocidas y la búsqueda en subespacios dentro de clustering basado en modelos. Las propuestas son probadas utilizando diferentes bases de datos reales y sintéticas, incluyendo comparaciones con otros métodos cuando resulten apropiadas. Finalmente, a modo de ejemplo de una aplicación real y actual, se aplican diferentes técnicas de aprendizaje automático, incluyendo una de las propuestas de este trabajo (la más sofisticada) a una tarea de uno de los problemas biológicos más desafiantes hoy en día, el modelado del cerebro humano. Específicamente, expertos neurocientíficos no se ponen de acuerdo en una clasificación de neuronas para la corteza cerebral, lo que imposibilita no sólo cualquier intento de modelado sino también el trabajo del día a día al no tener una forma estándar de llamar a las neuronas. Por lo tanto, las técnicas de aprendizaje automático pueden ayudar a conseguir una solución aceptada para este problema, lo cual puede ser un importante hito para investigaciones futuras en neurociencia.
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Background: There are 600,000 new malaria cases daily worldwide. The gold standard for estimating the parasite burden and the corresponding severity of the disease consists in manually counting the number of parasites in blood smears through a microscope, a process that can take more than 20 minutes of an expert microscopist’s time. Objective: This research tests the feasibility of a crowdsourced approach to malaria image analysis. In particular, we investigated whether anonymous volunteers with no prior experience would be able to count malaria parasites in digitized images of thick blood smears by playing a Web-based game. Methods: The experimental system consisted of a Web-based game where online volunteers were tasked with detecting parasites in digitized blood sample images coupled with a decision algorithm that combined the analyses from several players to produce an improved collective detection outcome. Data were collected through the MalariaSpot website. Random images of thick blood films containing Plasmodium falciparum at medium to low parasitemias, acquired by conventional optical microscopy, were presented to players. In the game, players had to find and tag as many parasites as possible in 1 minute. In the event that players found all the parasites present in the image, they were presented with a new image. In order to combine the choices of different players into a single crowd decision, we implemented an image processing pipeline and a quorum algorithm that judged a parasite tagged when a group of players agreed on its position. Results: Over 1 month, anonymous players from 95 countries played more than 12,000 games and generated a database of more than 270,000 clicks on the test images. Results revealed that combining 22 games from nonexpert players achieved a parasite counting accuracy higher than 99%. This performance could be obtained also by combining 13 games from players trained for 1 minute. Exhaustive computations measured the parasite counting accuracy for all players as a function of the number of games considered and the experience of the players. In addition, we propose a mathematical equation that accurately models the collective parasite counting performance. Conclusions: This research validates the online gaming approach for crowdsourced counting of malaria parasites in images of thick blood films. The findings support the conclusion that nonexperts are able to rapidly learn how to identify the typical features of malaria parasites in digitized thick blood samples and that combining the analyses of several users provides similar parasite counting accuracy rates as those of expert microscopists. This experiment illustrates the potential of the crowdsourced gaming approach for performing routine malaria parasite quantification, and more generally for solving biomedical image analysis problems, with future potential for telediagnosis related to global health challenges.
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The multimedia development that has taken place within the university classrooms in recent years has caused a revolution at psychological level within the collectivity of students and teachers inside and outside the classrooms. The slide show applications have become a key supporting element for university professors, who, in many cases, rely blindly in the use of them for teaching. Additionally, ill-conceived slides, poorly structured and with a vast amount of multimedia content, can be the basis of a faulty communication between teacher and student, which is overwhelmed by the appearance and presentation, neglecting their content. The same applies to web pages. This paper focuses on the study and analysis of the impact caused in the process of teaching and learning by the slide show presentations and web pages, and its positive and negative influence on the student’s learning process, paying particular attention to the consequences on the level of attention within the classroom, and on the study outside the classroom. The study is performed by means of a qualitative analysis of student surveys conducted during the last 8 school Civil Engineering School at the Polytechnic University of Madrid. It presents some of the weaknesses of multimedia material, including the difficulties for students to study them, because of the many distractions they face and the need for incentives web pages offer, or the insignificant content and shallowness of the studies due to wrongly formulated presentations.
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This research is concerned with the experimental software engineering area, specifically experiment replication. Replication has traditionally been viewed as a complex task in software engineering. This is possibly due to the present immaturity of the experimental paradigm applied to software development. Researchers usually use replication packages to replicate an experiment. However, replication packages are not the solution to all the information management problems that crop up when successive replications of an experiment accumulate. This research borrows ideas from the software configuration management and software product line paradigms to support the replication process. We believe that configuration management can help to manage and administer information from one replication to another: hypotheses, designs, data analysis, etc. The software product line paradigm can help to organize and manage any changes introduced into the experiment by each replication. We expect the union of the two paradigms in replication to improve the planning, design and execution of further replications and their alignment with existing replications. Additionally, this research work will contribute a web support environment for archiving information related to different experiment replications. Additionally, it will provide flexible enough information management support for running replications with different numbers and types of changes. Finally, it will afford massive storage of data from different replications. Experimenters working collaboratively on the same experiment must all have access to the different experiments.
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FTTH (fibra hasta el hogar) es actualmente, junto con la banda ancha móvil, la principal evolución tecnológica en Redes y Servicios de Telecomunicaciones. Se prevé que en los próximos años, el despliegue de las redes FTTH se vea incrementado de manera significativa, gracias al interés creciente tanto de Operadores de Telecomunicaciones como de Organismos Gubernamentales. Este despliegue (que en el año 2013 ya se está haciendo realidad) llevará servicios de muy alta velocidad (superiores a 100 Mbps, incluso 1 Gbps) de manera masiva a los hogares, exigiendo nuevos requisitos y prestaciones en la red del hogar de los clientes. Se abre aquí, por tanto, un campo de exploración novedoso, incipiente y de requerimientos cada vez más exigentes. De hecho, sin duda, la red del hogar es uno de los elementos fundamentales para el éxito de las redes y servicios en FTTH. Debido a todo lo anterior, se convierte en una necesidad para el sector de las Telecomunicaciones el encontrar soluciones a los problemas anteriormente mencionados. Con objeto de contribuir al análisis de soluciones, este proyecto se enfoca en dos temas, ambos relacionados con la problemática ya mencionada en la red del hogar: Prospección e identificación de soluciones tecnológicas avanzadas para la red del hogar. Descrito en capítulos 2, 3 y 4. En ellos se realiza un estudio detallado de la situación actual y tendencias futuras de los dispositivos utilizados en la red del hogar. Este estudio está enfocado en la distribución de señales de muy alto ancho de banda (en torno a los 100 Mbps por segundo) en el hogar. Diseño y desarrollo de una aplicación que permita determinar la calidad de experiencia de cliente (QoE) de un servicio de televisión IP (IPTV). Descrito en capítulos 5 y 6. Se ha seleccionado este tipo de servicios debido a que son los que requieren mayores prestaciones tanto de la red de transporte como de la red del hogar y, al mismo tiempo, son los más complicados de medir debido a la fuerte componente de subjetividad del usuario final. Una red del hogar correctamente diseñada debe cumplir de manera equilibrada los requisitos demandados tanto por el operador como por el cliente o usuario final del servicio. Los requisitos del operador se centran principalmente en el control de la inversión (CAPEX) y del gasto de mantenimiento de la red del hogar (OPEX). El usuario, por otra parte, requiere sencillez en la instalación y mínimo número de elementos a instalar (cero intrusismo, ausencia de cableado). Para adaptarse a estos requerimientos, existe una serie de dispositivos y tecnologías que buscan encontrar el punto de equilibrio entre necesidades de operadores y de clientes finales. Las soluciones actualmente utilizadas pueden dividirse en soluciones cableadas e inalámbricas. También existen soluciones híbridas. Todas ellas se describen en detalle en los capítulos 3 y 4. Al final del estudio se concluye que, con la tecnología actual, es preferible el uso de soluciones cableadas tipo Ethernet o POF. Es recomendable no usar soluciones PLC de manera extensiva (G.hn puede ser una alternativa a futuro) y, en caso de no requerir cableado, utilizar WiFi 11n con frecuencias de 5 GHz, así como sus evoluciones, WiFi 11ac y 11ad. La aplicación desarrollada, explicada en los capítulos 5 y 6, permite capturar y medir en tiempo real la señal de televisión IP que se entrega al usuario. Esta aplicación estimará, a partir de dichas medidas, la calidad de la señal entregada. Para ello tendrá en cuenta el tipo de descodificador utilizado por el usuario así como la red empleada (red FTTH de Telefónica). Esta aplicación podría ser utilizada en los centros de atención técnica de las operadoras de telecomunicaciones, determinando así la relación existente entre reclamaciones recibidas y calidad de servicio medida por la aplicación. Asimismo, aparte de realizar medidas en tiempo real, la aplicación vuelca las medidas realizadas y alarmas detectadas en ficheros log, facilitando el análisis técnico de los problemas e incidencias registrados por dichos centros técnicos. Igualmente, esta aplicación puede ser utilizada para el proceso de certificación de equipamiento de red del hogar o incluso como herramienta para profundizar en parámetros teóricos y criterios de medida de calidad de servicio en IPTV. ABSTRACT. FTTH (Fiber To The Home) and mobile broadband are currently the main technological trend in the Network and Telecommunications Services area. In the next few years, the deployment of FTTH networks will experiment a significant increase, due to the growing interest of both telecommunications operators and government agencies. This deployment (that is becoming a reality) which will massively carry high-speed services to households (speeds of more than 100 Mbps, even 1 Gbps) will demand new requirements and features in the customer’s home network. It can be found here a new and emerging field of exploration, with increasingly demanding requirements. In fact, the home network is one of the key elements for the success of FTTH network and services. Due to the aforementioned, it is a necessity for the telecommunications industry to find solutions to these problems. In order to contribute into the solution analysis, this project focuses on two subjects, both related to the problems of home networking: Exploratory research and identification of advanced technology solutions for the home network. Described in chapters 2, 3 and 4. These chapters show a detailed study of the current situation and future trends of the devices used at the home network. It focuses on the distribution of very high bandwidth signals (around 100 Mbps per second) in the customer’s home. Design and development of an application to evaluate customer’s quality of experience (QoE) of an IP television service (IPTV). Described in chapters 5 and 6. IPTV service has been selected because it requires higher performance both from the transport and the home networks and, at the same time, it is the most difficult to measure due to the strong component of subjectivity of the end user. A correct design of the home network must meet the requirements demanded both by the network operator and the customer (end user of the service). Network operator requirements mainly focus on reduced capital expenditures (CAPEX) and operational expenditures (OPEX). Additionally, the final user requires a simple and easy installation and also the minimum number of items to install (zero intrusion, lack of wiring, etc.). Different devices and technologies seek to find a balance between these two requirements (network operators and final users requirements). Solutions available in the market can be divided into wired and wireless. There are also hybrid solutions. All of them are described thoroughly in the first part of the project. The conclusion at the end of the study recommends the use of wired technologies like Ethernet or POF. Additionally, the use of PLC is not advised (G.hn can be an alternative in the future) and, in the case of not requiring wiring, the use of 11ac and 11ad WiFi is advised. The application developed in the second part of the project allows capturing and measuring the real-time IPTV signal delivered to the user. This application will estimate the delivered signal quality from the captured measurements. For this purpose, it will also consider the type of decoder installed on the customer’s premises and the transport network (Telefonica’s FTTH network). This application could be used at the operator’s technical service centres, determining in this way the relationship between user’s complaints and the quality of service measured. Additionally, this application can write all the measurements and alarms in log files, making easier the technical analysis of problems and impairments recorded by the technical centres. Finally, the application can also be used for the certification process of home networking equipment (i.e. decoders) or even as a tool to deepen theoretical parameters and measuring criteria of quality of service in IPTV.
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En este proyecto se realiza un estudio sobre herramientas que facilitan la creación y distribución de aplicaciones en distintas plataformas móviles, con el fin de poder seleccionar la herramienta más apropiada en función del proyecto a desarrollar. Previo al estudio de las herramientas para el desarrollo en plataformas múltiples se realiza un estudio de las herramientas y metodologías que facilitan los propietarios de los entornos IOS y Android. Este estudio previo permitirá al lector conocer en más detalle las particularidades de cada uno de estos dos entornos, así como las pautas y buenas prácticas a seguir en el desarrollo de aplicaciones para dispositivos móviles. Una vez finalizado el estudio, el lector sabrá escoger una herramienta de desarrollo adaptada a cada proyecto en función de su objeto, los recursos disponibles y las habilidades de los miembros del equipo de desarrollo. Adicionalmente al estudio, y como ejemplo de aplicación, en el proyecto se realiza un caso práctico de selección de herramienta y aplicación de la herramienta seleccionada a un proyecto de desarrollo concreto. El caso práctico consiste en la creación de un entorno que permite generar aplicaciones para la visualización de apuntes. Las aplicaciones permitirán ver contenidos de tipo multimedia como ficheros de texto, sonidos, imágenes, vídeos y enlaces a contenidos externos. Además estas aplicaciones se generarán sin que el autor de las mismas tenga que modificar alguna de las líneas del código. Para ello, se han definido una serie de ficheros de configuración en los que el autor de la aplicación deberá indicar los contenidos a mostrar y su ubicación. Se han seleccionado recursos de tipo “código abierto” para el desarrollo del caso práctico, con el fin de evitar los costes asociados a las posibles licencias. El equipo de desarrollo del caso práctico estará formado únicamente por el autor de este proyecto de fin de grado, lo que hace del caso de estudio un desarrollo sencillo, de manera que su futuro mantenimiento y escalabilidad no deberían verse afectados por la necesidad de contar con equipos de desarrolladores con conocimientos específicos o complejos. ABSTRACT. This document contains a study of tools that ease the creation and the distribution of the applications through different mobile platforms. The objective o this document is to allow the selection of the most appropriate tool, depending on the development objectives. Previous to this study about the tools for developing on multiple platforms, a study of IOS and Android tools and their methodologies is included on this document. This previous analysis will allow the reader to know in more detail the peculiarities of each of these environments, together with theirs requirements and the best practices of the applications development for mobile devices. By the end of this document the reader would be able to choose the adequate development tool for a project depending of its objective, its available resources and the developers team’s capabilities. Beside this study and as example of case study this final project includes a practical case of tool selection and its application to a specific development. The case study consists in the creation of an environment that allows generating applications to visualise notes. These applications will allow seeing contents of multimedia type such as: text files, sounds, images, videos, and links to external content. Furthermore these applications will be generated without their author having to modify any line of code, because a group of configuration files will be defined for such purpose. The author of the application only has to update this configuration with the content to show by the application and its location. The selected resources for the case study were of the type “open source” in order to avoid the cost associated to the potential licenses. The developers’ team for this case study has only one member, the author of this final project document and practical case developer. As a result the case study is a very simple development in a way that the future potential maintenance and scalability should not depend on the necessity of a highly qualified developers’ teams with a very specific knowledge on mobile platforms development.
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SSR es el acrónimo de SoundScape Renderer (tool for real-time spatial audio reproduction providing a variety of rendering algorithms), es un programa escrito en su mayoría en C++. El programa permite al usuario escuchar tanto sonidos grabados con anterioridad como sonidos en directo. El sonido o los sonidos se oirán, desde el punto de vista del oyente, como si el sonido se produjese en el punto que el programa decida, lo interesante de este proyecto es que el sonido podrá cambiar de lugar, moverse, etc. Todo en tiempo real. Esto se consigue sin modificar el sonido al grabarlo pero sí al emitirlo, el programa calcula las variaciones necesarias para que al emitir el sonido al oyente le llegue como si el sonido realmente se generase en un punto del espacio o lo más parecido posible. La sensación de movimiento no deja de ser el punto anterior cambiando de lugar. La idea era crear una aplicación web basada en Canvas de HTML5 que se comunicará con esta interfaz de usuario remota. Así se solucionarían todos los problemas de compatibilidad ya que cualquier dispositivo con posibilidad de visualizar páginas web podría correr una aplicación basada en estándares web, por ejemplo un sistema con Windows o un móvil con navegador. El protocolo debía de ser WebSocket porque es un protocolo HTML5 y ofrece las “garantías” de latencia que una aplicación con necesidades de información en tiempo real requiere. Nos permite una comunicación full-dúplex asíncrona sin mucho payload que es justo lo que se venía a evitar al no usar polling normal de HTML. El problema que surgió fue que la interfaz de usuario de red que tenía el programa no era compatible con WebSocket debido a un handshacking inicial y obligatorio que realiza el protocolo, por lo que se necesitaba otra interfaz de red. Se decidió entonces cambiar a JSON como formato para el intercambio de mensajes. Al final el proyecto comprende no sólo la aplicación web basada en Canvas sino también un servidor funcional y la definición de una nueva interfaz de usuario de red con su protocolo añadido. ABSTRACT. This project aims to become a part of the SSR tool to extend its capabilities in the field of the access. SSR is an acronym for SoundScape Renderer, is a program mostly written in C++ that allows you to hear already recorded or live sound with a variety of sound equipment as if the sound came from a desired place in the space. Like the web-page of the SSR says surely better explained: “The SoundScape Renderer (SSR) is a tool for real-time spatial audio reproduction providing a variety of rendering algorithms.” The application can be used with a graphical interface written in Qt but has also a network interface for external applications to use it. This network interface communicates using XML messages. A good example of it is the Android client. This Android client is already working. In order to use the application should be run it by loading an audio source and the wanted environment so that the renderer knows what to do. In that moment the server binds and anyone can use the network interface. Since the network interface is documented everyone can make an application to interact with this network interface. So the application can have as many user interfaces as wanted. The part that is developed in this project has nothing to do neither with audio rendering nor even with the reproduction of the spatial audio. The part that is developed here is about the interface used in the SSR application. As it can be deduced from the title: “Distributed Web Interface for Real-Time Spatial Audio Reproduction System”, this work aims only to offer the interface via web for the SSR (“Real-Time Spatial Audio Reproduction System”). The idea is not to make a new graphical interface for SSR but to allow more types of interfaces and communication. To accomplish the objective of allowing more graphical interfaces this project is going to use a new network interface. By now the SSR application is using only XML for data interchange but this new network interface support JSON. This project comprehends the server that launch the application, the user interface and the new network interface. It is done with these modules in order to allow creating new user interfaces that can communicate with the server or new servers that can communicate with the user interface by defining a complete network interface for data interchange.
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El yacimiento de Pasto Bueno se localiza en el extremo nordeste del Batolito de la Cordillera Blanca, comprende diversas vetas, generalmente subverticales, asociadas al stock cuarzomonzonitico de Consuzo, datado como Terciario Superior, que intruye a las pizarras de la fm. Chicama y cuarcitas de la fm. Chimu. Las principales vetas discurren con direccion N-S cortando al stock, aunque tambien existen sistemas NE-SW asi como NW-SE encajados sobre las rocas metamorficas. La mineralogia de mena reconocida comprende wolframita (hubnerita), tetraedrita/tenantita, esfalerita y galena, en una ganga de cuarzo, fluorita, sericita, pirita y carbonatos, ademas de molibdenita, calcopirita, bornita, arsenopirita, enargita (luzonita), stolzita, scheelita, zinnwaldita, topacio, tungstita y arsenico nativo. Estudios previos han caracterizado Pasto Bueno como un yacimiento con una gran componente de greisen, con una evolucion de las vetas desde un episodio temprano esteril de 400 oC, depositando la mineralizacion economica en torno a los 220-250 oC y con un evento postumo de 175-220 oC rico en CO2. La precipitacion de la wolframita se produjo a partir de un fluido netamente hidrotermal, sin embargo, dicha precipitacion estuvo controlada por el aporte al sistema de aguas externas meteoricas y/o metamorficas. El trabajo llevado a cabo ha consistido en la realizacion de un estudio microtermometrico de las 3 principales estructuras del distrito: Consuelo, Alonso-Fenix y Chabuca, para caracterizar la evolucion del fluido mineralizador desde el stock (veta Consuelo) hacia las rocas metasedimentarias de las fm. Chicama y Chimu (manto Alonso-Fenix y veta Chabuca). Para ello se realizo un muestreo sobre el evento principal de mineralizacion. Dichas muestras se sometieron a un estudio petrografico de lamina gruesa para seleccionar las muestras optimas para el posterior estudio microtermometrico. Previamente a la obtencion de las medidas de temperatura de fusion del hielo (criotermometria) y de homogenizacion del fluido; se realizo un estudio de petrografia de inclusiones fluidas para caracterizarlas y seleccionar las representativas. La interpretacion de los resultados ha permitido confirmar la existencia de un episodio previo de alta temperatura, superior a 282 oC y un evento mineralizador con temperaturas en torno a los 200-240 oC. Sin embargo, las salinidades obtenidas son mucho menores que las previamente publicadas, en torno al 5 % peso eq. NaCl, frente a 11-17 % peso eq. NaCl. Tambien se ha observado un fluido postumo rico en CO2, pero de temperatura superior, en torno a los 270 oC. Los gradientes isotermicos muestran dos focos para dichos fluidos hidrotermales: el primero asociado al stock en la veta Consuelo, y el segundo en la veta Chabuca, asociado a la zona de cabalgamiento de las pizarras de la fm. Chicama sobre las cuarcitas de la fm. Chimu. Este segundo foco puede corresponder con los aportes externos de aguas metamorficas. Para finalizar, se dan una serie de pautas para guiar las futuras exploraciones en el yacimiento. ABSTRACT The Pasto Bueno deposit is located at the northeastern end of the Cordillera Blanca Batholith. It comprises several veins, generally subvertical, associated with the quartz-monzonite stock of Consuzo, dated as Tertiary, which intrudes the Chicama fm. slates and the Chimu fm. quartzites. The main veins trend N-S cutting the stock, although there are also NE-SW and NWSE systems, hosted by the metamorphic rocks. The ore mineralogy comprises wolframite (hubnerite), tetrahedrite/tennantite, sphalerite and galena in a gangue of quartz, fluorite, sericite, pyrite and carbonates, and minor molybdenite, chalcopyrite, bornite, arsenopyrite, enargite (luzonite), stolzite, scheelite, zinnwaldite, topaz, tungstite and native arsenic. Previous studies have characterized Pasto Bueno as a deposit with a large component of greisen, with an evolution of the veins from an early barren 400 oC event , followed by economic mineralization of about 220-250 °C and a late event of 175 -220 oC rich in CO2. Wolframite precipitation occurred from a purely hydrothermal fluid; however, this precipitation was controlled by an external flux of meteoric and/or metamorphic waters. Microthermometric studies of the 3 main structures of the district (Consuelo, Alonso-Fenix and Chabuca veins) have been carried out to depict the evolution of the mineralizing fluid coming from the stock (Consuelo vein) into the metasedimentary rocks of the Chimu and Chicama fm. (Alonso-Fenix and Chabuca veins). The sampling was performed over the main event of mineralization. These samples were subject to a quick plate petrography study in order to select the optimal samples for further microthermometry studies. Before the freezing/heating measures, a fluid inclusion petrography study was done to characterize and select the representative F.I. Interpretation of results has confirmed the existence of a previous episode of higher temperature, over 282 °C, and a mineralizing event with temperatures of about 200-240 °C. However, obtained salinities, about 5 wt% NaCl equivalents, are much lower than those previously reported, about 11-17 wt% NaCl equivalents. A last fluid, rich in CO2, but of higher temperature, about 270 oC, has been characterized. Isothermal gradients show two foci for the hydrothermal fluids: the first one associated to the Consuzo stock as shown in the Consuelo vein, and the second one related to the thrust fault which places the Chicama fm. slates over the Chimu fm. quartzites in the Chabuca vein area. This second focus may correspond to an external input of metamorphic waters. Finally, some guidelines have been given to guide future explorations.
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Penguin colonies represent some of the most concentrated sources of ammonia emissions to the atmosphere in the world. The ammonia emitted into the atmosphere can have a large influence on the nitrogen cycling of ecosystems near the colonies. However, despite the ecological importance of the emissions, no measurements of ammonia emissions from penguin colonies have been made. The objective of this work was to determine the ammonia emission rate of a penguin colony using inverse-dispersion modelling and gradient methods. We measured meteorological variables and mean atmospheric concentrations of ammonia at seven locations near a colony of Adélie penguins in Antarctica to provide input data for inverse-dispersion modelling. Three different atmospheric dispersion models (ADMS, LADD and a Lagrangian stochastic model) were used to provide a robust emission estimate. The Lagrangian stochastic model was applied both in ‘forwards’ and ‘backwards’ mode to compare the difference between the two approaches. In addition, the aerodynamic gradient method was applied using vertical profiles of mean ammonia concentrations measured near the centre of the colony. The emission estimates derived from the simulations of the three dispersion models and the aerodynamic gradient method agreed quite well, giving a mean emission of 1.1 g ammonia per breeding pair per day (95% confidence interval: 0.4–2.5 g ammonia per breeding pair per day). This emission rate represents a volatilisation of 1.9% of the estimated nitrogen excretion of the penguins, which agrees well with that estimated from a temperature-dependent bioenergetics model. We found that, in this study, the Lagrangian stochastic model seemed to give more reliable emission estimates in ‘forwards’ mode than in ‘backwards’ mode due to the assumptions made.
