928 resultados para Android, Java, mobile, database, PHP, App, Json, design pattern, compatibilità, UML


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Identification of major contributors to odour annoyance in areas with multiple emission sources is necessary to address and resolve odour disputes. In an effort to develop an appropriate tool for this task, odour samples were collected on-site at a piggery and an abattoir (the major odour sources in the area) and at surrounding off-site areas, then analysed using a commercial non-specific chemical sensor array to develop an odour fingerprint database. The developed odour fingerprint database was analysed using two pattern recognition algorithms including a partial least squares-discriminant analysis (PLS-DA) and a Kohonen self-organising map (KSOM). The KSOM model could identify odour samples sourced from the piggery shed 15, piggery pond 8, piggery pond 9, abattoir, motel and others with mean percentage values of 77.5, 65.0, 90.2, 75.7, 44.8 and 64.6%, respectively.

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With the digital all-sky imager (ASI) emergence in aurora research, millions of images are captured annually. However, only a fraction of which can be actually used. To address the problem incurred by low efficient manual processing, an integrated image analysis and retrieval system is developed. For precisely representing aurora image, macroscopic and microscopic features are combined to describe aurora texture. To reduce the feature dimensionality of the huge dataset, a modified local binary pattern (LBP) called ALBP is proposed to depict the microscopic texture, and scale-invariant Gabor and orientation-invariant Gabor are employed to extract the macroscopic texture. A physical property of aurora is inducted as region features to bridge the gap between the low-level visual features and high-level semantic description. The experiments results demonstrate that the ALBP method achieves high classification rate and low computational complexity. The retrieval simulation results show that the developed retrieval system is efficient for huge dataset. (c) 2010 Elsevier Inc. All rights reserved.

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This paper contributes a new approach for developing UML software designs from Natural Language (NL), making use of a meta-domain oriented ontology, well established software design principles and Natural Language Processing (NLP) tools. In the approach described here, banks of grammatical rules are used to assign event flows from essential use cases. A domain specific ontology is also constructed, permitting semantic mapping between the NL input and the modeled domain. Rules based on the widely-used General Responsibility Assignment Software Principles (GRASP) are then applied to derive behavioral models.

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Identifying responsibility for classes in object oriented software design phase is a crucial task. This paper proposes an approach for producing high quality and robust behavioural diagrams (e.g. Sequence Diagrams) through Class Responsibility Assignment (CRA). GRASP or General Responsibility Assignment Software Pattern (or Principle) was used to direct the CRA process when deriving behavioural diagrams. A set of tools to support CRA was developed to provide designers and developers with a cognitive toolkit that can be used when analysing and designing object-oriented software. The tool developed is called Use Case Specification to Sequence Diagrams (UC2SD). UC2SD uses a new approach for developing Unified Modelling Language (UML) software designs from Natural Language, making use of a meta-domain oriented ontology, well established software design principles and established Natural Language Processing (NLP) tools. UC2SD generates a well-formed UML sequence diagrams as output.

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Formation of autonomous mobile robots to an arbitrary geometric pattern in a distributed fashion is a fundamental problem in formation control. This paper presents a new fully distributed, memoryless (oblivious) algorithm to the formation control problem via distributed optimization techniques. The optimization minimizes an appropriately defined difference function between the current robot distribution and target geometric pattern. The optimization processes are performed independently by individual robots in their local coordinate system. A movement strategy derived from the results of the distributed optimizations guarantees that every movement makes the current robot configuration approaches the target geometric pattern until the final pattern is reached.

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This work describes a methodology for identification of skeletal types of diterpenes based on data base with 1500 compounds isolated from Asteraceae. One program named BOTOCSYS was built with the codification of the compounds and their botanical sources. An example of identification of a new substance is given.

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This article is about thermal comfort in the wearable product. The research correlates fashion and architecture, in so far as it elects the brise soleil - an architectural element capable of regulating temperature and ventilation inside buildings - as a study referential, in trying to transpose and adapt its mechanisms to the wearable apparel.

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Self-organisation is increasingly being regarded as an effective approach to tackle modern systems complexity. The self-organisation approach allows the development of systems exhibiting complex dynamics and adapting to environmental perturbations without requiring a complete knowledge of the future surrounding conditions. However, the development of self-organising systems (SOS) is driven by different principles with respect to traditional software engineering. For instance, engineers typically design systems combining smaller elements where the composition rules depend on the reference paradigm, but typically produce predictable results. Conversely, SOS display non-linear dynamics, which can hardly be captured by deterministic models, and, although robust with respect to external perturbations, are quite sensitive to changes on inner working parameters. In this thesis, we describe methodological aspects concerning the early-design stage of SOS built relying on the Multiagent paradigm: in particular, we refer to the A&A metamodel, where MAS are composed by agents and artefacts, i.e. environmental resources. Then, we describe an architectural pattern that has been extracted from a recurrent solution in designing self-organising systems: this pattern is based on a MAS environment formed by artefacts, modelling non-proactive resources, and environmental agents acting on artefacts so as to enable self-organising mechanisms. In this context, we propose a scientific approach for the early design stage of the engineering of self-organising systems: the process is an iterative one and each cycle is articulated in four stages, modelling, simulation, formal verification, and tuning. During the modelling phase we mainly rely on the existence of a self-organising strategy observed in Nature and, hopefully encoded as a design pattern. Simulations of an abstract system model are used to drive design choices until the required quality properties are obtained, thus providing guarantees that the subsequent design steps would lead to a correct implementation. However, system analysis exclusively based on simulation results does not provide sound guarantees for the engineering of complex systems: to this purpose, we envision the application of formal verification techniques, specifically model checking, in order to exactly characterise the system behaviours. During the tuning stage parameters are tweaked in order to meet the target global dynamics and feasibility constraints. In order to evaluate the methodology, we analysed several systems: in this thesis, we only describe three of them, i.e. the most representative ones for each of the three years of PhD course. We analyse each case study using the presented method, and describe the exploited formal tools and techniques.

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Uno dei temi più discussi ed interessanti nel mondo dell’informatica al giorno d’oggi è sicuramente il Cloud Computing. Nuove organizzazioni che offrono servizi di questo tipo stanno nascendo ovunque e molte aziende oggi desiderano imparare ad utilizzarli, migrando i loro centri di dati e le loro applicazioni nel Cloud. Ciò sta avvenendo anche grazie alla spinta sempre più forte che stanno imprimendo le grandi compagnie nella comunità informatica: Google, Amazon, Microsoft, Apple e tante altre ancora parlano sempre più frequentemente di Cloud Computing e si stanno a loro volta ristrutturando profondamente per poter offrire servizi Cloud adeguandosi così a questo grande cambiamento che sta avvenendo nel settore dell’informatica. Tuttavia il grande movimento di energie, capitali, investimenti ed interesse che l’avvento del Cloud Computing sta causando non aiuta a comprendere in realtà che cosa esso sia, al punto tale che oggi non ne esiste ancora una definizione univoca e condivisa. La grande pressione inoltre che esso subisce da parte del mondo del mercato fa sì che molte delle sue più peculiari caratteristiche, dal punto di vista dell’ingegneria del software, vengano nascoste e soverchiate da altre sue proprietà, architetturalmente meno importanti, ma con un più grande impatto sul pubblico di potenziali clienti. Lo scopo che mi propongo con questa tesi è quello quindi di cercare di fare chiarezza in quello che è il mondo del Cloud computing, focalizzandomi particolarmente su quelli che sono i design pattern più utilizzati nello sviluppo di applicazioni di tipo cloud e presentando quelle che oggi rappresentano le principali tecnologie che vengono utilizzate sia in ambito professionale, che in ambito di ricerca, per realizzare le applicazioni cloud, concentrandomi in maniera particolare su Microsoft Orleans.

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La realizzazione di un motore di ricerca per uno specifico ambito documentale comporta molte scelte. Questo documento intende esplicarne problemi riscontrati e soluzioni ottenute durante la realizzazione di un motore di ricerca per ricette culinarie. Questa dissertazione illustra il problema sia da un punto di vista architetturale che implementativo, in particolare, la tesi tratta sia del design pattern MVC, usato come base del progetto, che di algoritmi di stemming e ranking.

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El trabajo de fin de grado que se va a definir detalladamente en esta memoria, trata de poner de manifiesto muchos de los conocimientos que he adquirido a lo largo de la carrera, aplicándolos en un proyecto real. Se ha desarrollado una plataforma capaz de albergar ideas, escritas por personas de todo el mundo que buscan compartirlas con los demás, para que estas sean comentadas, valoradas y entre todos poder mejorarlas. Estas ideas pueden ser de cualquier ámbito, por tanto, se da la posibilidad de clasificarlas en las categorías que mejor encajen con la idea. La aplicación ofrece una API RESTful muy descriptiva, en la que se ha identificado y estructurado cada recurso, para que a través de los “verbos http” se puedan gestionar todos los elementos de una forma fácil y sencilla, independientemente del cliente que la utilice. La arquitectura está montada siguiendo el patrón de diseño modelo vista-controlador, utilizando las últimas tecnologías del mercado como Spring, Liferay, SmartGWT y MongoDB (entre muchas otras) con el objetivo de crear una aplicación segura, escalable y modulada, por lo que se ha tenido que integrar todos estos frameworks. Los datos de la aplicación se hacen persistentes en dos tipos de bases de datos, una relacional (MySQL) y otra no relacional (MongoDB), aprovechando al máximo las características que ofrecen cada una de ellas. El cliente propuesto es accesible mediante un navegador web, se basa en el portal de Liferay. Se han desarrollado varios “Portlets o Widgets”, que componen la estructura de contenido que ve el usuario final. A través de ellos se puede acceder al contenido de la aplicación, ideas, comentarios y demás contenidos sociales, de una forma agradable para el usuario, ya que estos “Portlets” se comunican entre sí y hacen peticiones asíncronas a la API RESTful sin necesidad de recargar toda la estructura de la página. Además, los usuarios pueden registrarse en el sistema para aportar más contenidos u obtener roles que les dan permisos para realizar acciones de administración. Se ha seguido una metodología “Scrum” para la realización del proyecto, con el objetivo de dividir el proyecto en tareas pequeñas y desarrollarlas de una forma ágil. Herramientas como “Jenkins” me han ayudado a una integración continua y asegurando mediante la ejecución de los test de prueba, que todos los componentes funcionan. La calidad ha sido un aspecto principal en el proyecto, se han seguido metodologías software y patrones de diseño para garantizar un diseño de calidad, reutilizable, óptimo y modulado. El uso de la herramienta “Sonar” ha ayudado a este cometido. Además, se ha implementado un sistema de pruebas muy completo de todos los componentes de la aplicación. En definitiva, se ha diseñado una aplicación innovadora de código abierto, que establece unas bases muy definidas para que si algún día se pone en producción, sirva a las personas para compartir pensamientos o ideas ayudando a mejorar el mundo en el que vivimos. ---ABSTRACT---The Final Degree Project, described in detail in this report, attempts to cover a lot of the knowledge I have acquired during my studies, applying it to a real project. The objective of the project has been to develop a platform capable of hosting ideas from people all over the world, where users can share their ideas, comment on and rate the ideas of others and together help improving them. Since these ideas can be of any kind, it is possible to classify them into suitable categories. The application offers a very descriptive API RESTful, where each resource has been identified and organized in a way that makes it possible to easily manage all the elements using the HTTP verbs, regardless of the client using it. The architecture has been built following the design pattern model-view-controller, using the latest market technologies such as Spring, Liferay, Smart GWT and MongoDB (among others) with the purpose of creating a safe, scalable and adjustable application. The data of the application are persistent in two different kinds of databases, one relational (MySQL) and the other non-relational (MongoDB), taking advantage of all the different features each one of them provides. The suggested client is accessible through a web browser and it is based in Liferay. Various “Portlets" or "Widgets” make up the final content of the page. Thanks to these Portlets, the user can access the application content (ideas, comments and categories) in a pleasant way as the Portlets communicate with each other making asynchronous requests to the API RESTful without the necessity to refresh the whole page. Furthermore, users can log on to the system to contribute with more contents or to obtain administrator privileges. The Project has been developed following a “Scrum” methodology, with the main objective being that of dividing the Project into smaller tasks making it possible to develop each task in a more agile and ultimately faster way. Tools like “Jenkins” have been used to guarantee a continuous integration and to ensure that all the components work correctly thanks to the execution of test runs. Quality has been one of the main aspects in this project, why design patterns and software methodologies have been used to guarantee a high quality, reusable, modular and optimized design. The “Sonar” technology has helped in the achievement of this goal. Furthermore, a comprehensive proofing system of all the application's components has been implemented. In conclusion, this Project has consisted in developing an innovative, free source application that establishes a clearly defined basis so that, if it someday will be put in production, it will allow people to share thoughts and ideas, and by doing so, help them to improve the World we live in.