914 resultados para Domain-specific visual language


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RESUMEN En los últimos años, debido al incremento en la demanda por parte de las empresas de tecnologías que posibiliten la monitorización y el análisis de un gran volumen de datos en tiempo real, la tecnología CEP (Complex Event Processing) ha surgido como una potencia en alza y su uso se ha incrementado notablemente en ciertos sectores como, por ejemplo, la gestión y automatización de procesos de negocios, finanzas, monitorización de redes y aplicaciones, así como redes de sensores inteligentes como el caso de estudio en el que nos centraremos. CEP se basa en un lenguaje de procesamiento de eventos (Event Processing Language,EPL) cuya utilización puede resultar bastante compleja para usuarios inexpertos. Esta complejidad supone un hándicap y, por lo tanto, un problema a la hora de que su uso se extienda. Este Proyecto Fin de Grado (PFG) pretende dar una solución a este problema, acercando al usuario la tecnología CEP mediante técnicas de abstracción y modelado. Para ello, este PFG ha definido un lenguaje de modelado específico dominio, sencillo e intuitivo para el usuario inexperto, al que se ha dado soporte mediante el desarrollo de una herramienta de modelado gráfico (CEP Modeler) en la que se pueden modelar consultas CEP de forma gráfica, sencilla y de manera más accesible para el usuario. ABSTRACT Over recent years, more and more companies demand technology for monitoring and analyzing a vast volume of data in real time. In this regard, the CEP technology (Complex Event Processing) has emerged as a novel approach to that end, and its use has increased dramatically in certain domains, such as, management and automation of business processes, finance, monitoring of networks and applications, as well as smart sensor networks as the case study in which we will focus. CEP is based on in the Event Processing Language (EPL). This language can be rather difficult to use for new users. This complexity can be a handicap, and therefore, a problem at the time of extending its use. This project aims to provide a solution to this problem, trying to approach the CEP technology to users through abstraction and modelling techniques. To that end, this project has defined an intuitive and simple domain-specific modelling language for new users through a web tool (CEP Modeler) for graphically modeling CEP queries, in an easier and more accessible way.

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Early-number is a rich fabric of interconnected ideas that is often misunderstood and thus taught in ways that do not lead to rich understanding. In this presentation, a visual language is used to describe the organisation of this domain of knowledge. This visual language is based upon Piaget’s notion of reflective abstraction (Dubinsky, 1991; Piaget, 1977/2001), and thus captures the epistemological associations that link the problems, concepts and representations of the domain. The constructs of this visual language are introduced and then applied to the early-number domain. The introduction to this visual language may prompt reflection upon its suitability and significance to the description of other domains of knowledge. Through such a process of analysis and description, the visual language may serve as a scaffold for enhancing pedagogical content knowledge and thus ultimately improve learning outcomes.

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This paper presents visual detection and classification of light vehicles and personnel on a mine site.We capitalise on the rapid advances of ConvNet based object recognition but highlight that a naive black box approach results in a significant number of false positives. In particular, the lack of domain specific training data and the unique landscape in a mine site causes a high rate of errors. We exploit the abundance of background-only images to train a k-means classifier to complement the ConvNet. Furthermore, localisation of objects of interest and a reduction in computation is enabled through region proposals. Our system is tested on over 10km of real mine site data and we were able to detect both light vehicles and personnel. We show that the introduction of our background model can reduce the false positive rate by an order of magnitude.

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Domain-invariant representations are key to addressing the domain shift problem where the training and test exam- ples follow different distributions. Existing techniques that have attempted to match the distributions of the source and target domains typically compare these distributions in the original feature space. This space, however, may not be di- rectly suitable for such a comparison, since some of the fea- tures may have been distorted by the domain shift, or may be domain specific. In this paper, we introduce a Domain Invariant Projection approach: An unsupervised domain adaptation method that overcomes this issue by extracting the information that is invariant across the source and tar- get domains. More specifically, we learn a projection of the data to a low-dimensional latent space where the distance between the empirical distributions of the source and target examples is minimized. We demonstrate the effectiveness of our approach on the task of visual object recognition and show that it outperforms state-of-the-art methods on a stan- dard domain adaptation benchmark dataset

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Graph algorithms have been shown to possess enough parallelism to keep several computing resources busy-even hundreds of cores on a GPU. Unfortunately, tuning their implementation for efficient execution on a particular hardware configuration of heterogeneous systems consisting of multicore CPUs and GPUs is challenging, time consuming, and error prone. To address these issues, we propose a domain-specific language (DSL), Falcon, for implementing graph algorithms that (i) abstracts the hardware, (ii) provides constructs to write explicitly parallel programs at a higher level, and (iii) can work with general algorithms that may change the graph structure (morph algorithms). We illustrate the usage of our DSL to implement local computation algorithms (that do not change the graph structure) and morph algorithms such as Delaunay mesh refinement, survey propagation, and dynamic SSSP on GPU and multicore CPUs. Using a set of benchmark graphs, we illustrate that the generated code performs close to the state-of-the-art hand-tuned implementations.

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This dissertation centers on the relationship between art and politics in postwar Central America as materialized in the specific issues of racial and gendered violence that derive from the region's geopolitical location and history. It argues that the decade of the 1990s marks a moment of change in the region's cultural infrastructure, both institutionally and conceptually, in which artists seek a new visual language of experimental art practices to articulate and conceptualize a critical understanding of place, experience and knowledge. It posits that visual and conceptual manifestations of violence in Central American performance, conceptual art and installation extend beyond a critique of the state, and beyond the scope of political parties in perpetuating violent circumstances in these countries. It argues that instead artists use experimental practices in art to locate manifestations of racial violence in an historical system of domination and as a legacy of colonialism still witnessed, lived, and learned by multiple subjectivities in the region. In this postwar period artists move beyond the cold-war rhetoric of the previous decades and instead root the current social and political injustices in what Aníbal Quijano calls the `coloniality of power.' Through an engagement of decolonial methodologies, this dissertation challenges the label "political art" in Central America and offers what I call "visual disobedience" as a response to the coloniality of seeing. I posit that visual colonization is yet another aspect of the coloniality of power and indispensable to projects of decolonization. It offers an analysis of various works to show how visual disobedience responds specifically to racial and gender violence and the equally violent colonization of visuality in Mesoamerica. Such geopolitical critiques through art unmask themes specific to life and identity in contemporary Central America, from indigenous genocide, femicide, transnational gangs, to mass imprisonments and a new wave of social cleansing. I propose that Central American artists--beyond an anti-colonial stance--are engaging in visual disobedience so as to construct decolonial epistemologies in art, through art, and as art as decolonial gestures for healing.

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This thesis aims at empowering software customers with a tool to build software tests them selves, based on a gradual refinement of natural language scenarios into executable visual test models. The process is divided in five steps: 1. First, a natural language parser is used to extract a graph of grammatical relations from the textual scenario descriptions. 2. The resulting graph is transformed into an informal story pattern by interpreting structurization rules based on Fujaba Story Diagrams. 3. While the informal story pattern can already be used by humans the diagram still lacks technical details, especially type information. To add them, a recommender based framework uses web sites and other resources to generate formalization rules. 4. As a preparation for the code generation the classes derived for formal story patterns are aligned across all story steps, substituting a class diagram. 5. Finally, a headless version of Fujaba is used to generate an executable JUnit test. The graph transformations used in the browser application are specified in a textual domain specific language and visualized as story pattern. Last but not least, only the heavyweight parsing (step 1) and code generation (step 5) are executed on the server side. All graph transformation steps (2, 3 and 4) are executed in the browser by an interpreter written in JavaScript/GWT. This result paves the way for online collaboration between global teams of software customers, IT business analysts and software developers.

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Specific language impairment (SLI) is usually defined as a developmental language disorder which does not result from a hearing loss, autism, neurological and emotional difficulties, severe social deprivation, low non-verbal abilities. Children affected with SLI typically have difficulties with the acquisition of different aspects of language and by definition, their impairment is specific to language and no other skills are affected. However, there has been a growing body of literature to suggest that children with SLI also have non-linguistic deficits, including impaired motor abilities. The aim of the current study is to investigate language and motor abilities of a group of thirty children with SLI (aged between 4 and 7) in comparison to a group of 30 typically developing children matched for chronological age. The results showed that the group of children with SLI had significantly more difficulties on the language and motor assessments compared to the control group. The SLI group also showed delayed onset in the development of all motor skills under investigation in comparison to the typically developing group. More interestingly, the two groups differed with respect to which language abilities were correlated with motor abilities, however Imitation of Complex Movements was the unique skill which reliably predicted expressive vocabulary in both typically developing children and in children with SLI.

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In recent years, research into the impact of genetic abnormalities on cognitive development, including language, has become recognized for its potential to make valuable contributions to our understanding of the brain–behaviour relationships underlying language acquisition as well as to understanding the cognitive architecture of the human mind. The publication of Fodor’s ( 1983 ) book The Modularity of Mind has had a profound impact on the study of language and the cognitive architecture of the human mind. Its central claim is that many of the processes involved in comprehension are undertaken by special brain systems termed ‘modules’. This domain specificity of language or modularity has become a fundamental feature that differentiates competing theories and accounts of language acquisition (Fodor 1983 , 1985 ; Levy 1994 ; Karmiloff-Smith 1998 ). However, although the fact that the adult brain is modularized is hardly disputed, there are different views of how brain regions become specialized for specific functions. A question of some interest to theorists is whether the human brain is modularized from the outset (nativist view) or whether these distinct brain regions develop as a result of biological maturation and environmental input (neuroconstructivist view). One source of insight into these issues has been the study of developmental disorders, and in particular genetic syndromes, such as Williams syndrome (WS) and Down syndrome (DS). Because of their uneven profiles characterized by dissociations of different cognitive skills, these syndromes can help us address theoretically significant questions. Investigations into the linguistic and cognitive profiles of individuals with these genetic abnormalities have been used as evidence to advance theoretical views about innate modularity and the cognitive architecture of the human mind. The present chapter will be organized as follows. To begin, two different theoretical proposals in the modularity debate will be presented. Then studies of linguistic abilities in WS and in DS will be reviewed. Here, the emphasis will be mainly on WS due to the fact that theoretical debates have focused primarily on WS, there is a larger body of literature on WS, and DS subjects have typically been used for the purposes of comparison. Finally, the modularity debate will be revisited in light of the literature review of both WS and DS. Conclusions will be drawn regarding the contribution of these two genetic syndromes to the issue of cognitive modularity, and in particular innate modularity.

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Object-oriented meta-languages such as MOF or EMOF are often used to specify domain specific languages. However, these meta-languages lack the ability to describe behavior or operational semantics. Several approaches used a subset of Java mixed with OCL as executable meta-languages. In this paper, we report our experience of using Smalltalk as an executable and integrated meta-language. We validated this approach in incrementally building over the last decade, Moose, a meta-described reengineering environment. The reflective capabilities of Smalltalk support a uniform way of letting the base developer focus on his tasks while at the same time allowing him to meta-describe his domain model. The advantage of our this approach is that the developer uses the same tools and environment

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As domain-specific modeling begins to attract widespread acceptance, pressure is increasing for the development of new domain-specific languages. Unfortunately these DSLs typically conflict with the grammar of the host language, making it difficult to compose hybrid code except at the level of strings; few mechanisms (if any) exist to control the scope of usage of multiple DSLs; and, most seriously, existing host language tools are typically unaware of the DSL extensions, thus hampering the development process. Language boxes address these issues by offering a simple, modular mechanism to encapsulate (i) compositional changes to the host language, (ii) transformations to address various concerns such as compilation and highlighting, and (iii) scoping rules to control visibility of language extensions. We describe the design and implementation of language boxes, and show with the help of several examples how modular extensions can be introduced to a host language and environment.

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Object-oriented modelling languages such as EMOF are often used to specify domain specific meta-models. However, these modelling languages lack the ability to describe behavior or operational semantics. Several approaches have used a subset of Java mixed with OCL as executable meta-languages. In this experience report we show how we use Smalltalk as an executable meta-language in the context of the Moose reengineering environment. We present how we implemented EMOF and its behavioral aspects. Over the last decade we validated this approach through incrementally building a meta-described reengineering environment. Such an approach bridges the gap between a code-oriented view and a meta-model driven one. It avoids the creation of yet another language and reuses the infrastructure and run-time of the underlying implementation language. It offers an uniform way of letting developers focus on their tasks while at the same time allowing them to meta-describe their domain model. The advantage of our approach is that developers use the same tools and environment they use for their regular tasks. Still the approach is not Smalltalk specific but can be applied to language offering an introspective API such as Ruby, Python, CLOS, Java and C#.

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La evolución de las redes eléctricas se dirige hacia lo que se conoce como “Smart Grids” o “Redes Eléctricas Inteligentes”. Estas “Smart Grids” se componen de subestaciones eléctricas, que a su vez se componen de unos dispositivos llamados IEDs (Dispositivos Electrónicos Inteligentes – Intelligent Electronic Devices). El diseño de IEDs se encuentra definido en la norma IEC 61850, que especifica además un Lenguaje de Configuración de Subestaciones (Substation Configuration Language SCL) para la definición de la configuración de subestaciones y sus IEDs. Hoy en día, este estándar internacional no sólo se utiliza para diseñar correctamente IEDs y asegurar su interoperabilidad, sino que también se utiliza para el diseño de otros dispositivos de la red eléctrica, como por ejemplo, medidores inteligentes. Sin embargo, aunque existe una tendencia cada vez mayor del uso de este estándar, la comprensión y el manejo del mismo resulta difícil debido al gran volumen de información que lo compone y del nivel de detalle que utiliza, por lo que su uso para el diseño de IEDs se hace tedioso sin la ayuda de un soporte software. Es por ello que, para facilitar la aplicación del estándar IEC 61850 en el diseño de IEDs se han desarrollado herramientas como “Visual SCL”, “SCL Explorer” o “61850 SCLVisual Design Tool”. En concreto, “61850 SCLVisual Design Tool” es una herramienta gráfica para el modelado de subestaciones electricas, generada mediante el uso de los frameworks Eclipse Modeling Framework (EMF) y Epsilon Generative Modeling Technologies (GMT) y desarrollada por el grupo de investigación SYST de la UPM. El objetivo de este proyecto es añadir una nueva funcionalidad a la herramienta “61850 Visual SCL DesignTool”. Esta nueva funcionalidad consiste en la generación automática de un fichero de configuración de subestaciones eléctricas según el estándar IEC 61850 a partir de de una herramienta de diseño gráfico. Este fichero, se denomina SCD (Substation Configuration Description), y se trata de un fichero XML conforme a un esquema XSD (XML Schema Definition) mediante el que se define el lenguaje de configuración de subestaciones SCL del IEC 61850. Para el desarrollo de este proyecto, es necesario el estudio del lenguaje para la configuración de subestaciones SCL, así como del lenguaje gráfico específico de dominio definido por la herramienta “61850 SCLVisual Design Tool”, la estructura de los ficheros SCD, y finalmente, del lenguaje EGL (Epsilon Generation Language) para la transformación y generación automática de código a partir de modelos EMF. ABSTRACT Electrical networks are evolving to “Smart Grids”. Smart Grids are composed of electrical substations that in turn are composed of devices called IEDs (Intelligent Electronic Devices). The design of IEDs is defined by the IEC 61850 standard, which also specifies a Substation Configuration Languaje (SCL) used to define the configuration of substations and their IEDs. Nowadays, this international standard is not only used to design properly IEDs and guarantee their interoperability, but it is also used to design different electrical network devices, such as, smart meters. However, although the use of this standard is growing, its compression as well as its management, is still difficult due to its large volume of information and its level of detail. As a result, designing IEDs becomes a tedious task without a software support. As a consequence of this, in order to make easier the application of the IEC 61850 standard while designing IEDs, some software tools have been developed, such as: “Visual SCL”, “SCL Explorer” or “61850 SCLVisual Design Tool”. In particular, “61850 SCLVisual Design Tool” is a graphical tool used to make electrical substations models, and developed with the Eclipse Modeling Framework (EMF) and Epsilon Generative Modeling Technologies (GMT) by the research group SYST of the UPM. The aim of this project is to add a new functionality to “61850 Visual SCL DesignTool”. This new functionality consists of the automatic code generation of a substation configuration file according to the IEC 61850 standard. This file is called SCD (Substation Configuration Description), and it is a XML file that follows a XSD (XML Schema Definition) that defines the Substation Configuration Language (SCL) of the IEC 61850. In order to develop this project, it is necessary to study the Substation Configuration Language (SCL), the domain-specific graphical languaje defined by the tool “61850 SCLVisual Design Tool”, the structure of a SCD file, and the Epsilon Generation Language (EGL) used for the automatic code generation from EMF models