909 resultados para ticket, ticketing, PHP, Web Service, osTicket
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The current INFRAWEBS European research project aims at developing ICT framework enabling software and service providers to generate and establish open and extensible development platforms for Web Service applications. One of the concrete project objectives is developing a full-life-cycle software toolset for creating and maintaining Semantic Web Services (SWSs) supporting specific applications based on Web Service Modelling Ontology (WSMO) framework. According to WSMO, functional and behavioural descriptions of a SWS may be represented by means of complex logical expressions (axioms). The paper describes a specialized userfriendly tool for constructing and editing such axioms – INFRAWEBS Axiom Editor. After discussing the main design principles of the Editor, its functional architecture is briefly presented. The tool is implemented in Eclipse Graphical Environment Framework and Eclipse Rich Client Platform.
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* The research has been partially supported by INFRAWEBS - IST FP62003/IST/2.3.2.3 Research Project No. 511723 and “Technologies of the Information Society for Knowledge Processing and Management” - IIT-BAS Research Project No. 010061.
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The evaluation of geospatial data quality and trustworthiness presents a major challenge to geospatial data users when making a dataset selection decision. The research presented here therefore focused on defining and developing a GEO label – a decision support mechanism to assist data users in efficient and effective geospatial dataset selection on the basis of quality, trustworthiness and fitness for use. This thesis thus presents six phases of research and development conducted to: (a) identify the informational aspects upon which users rely when assessing geospatial dataset quality and trustworthiness; (2) elicit initial user views on the GEO label role in supporting dataset comparison and selection; (3) evaluate prototype label visualisations; (4) develop a Web service to support GEO label generation; (5) develop a prototype GEO label-based dataset discovery and intercomparison decision support tool; and (6) evaluate the prototype tool in a controlled human-subject study. The results of the studies revealed, and subsequently confirmed, eight geospatial data informational aspects that were considered important by users when evaluating geospatial dataset quality and trustworthiness, namely: producer information, producer comments, lineage information, compliance with standards, quantitative quality information, user feedback, expert reviews, and citations information. Following an iterative user-centred design (UCD) approach, it was established that the GEO label should visually summarise availability and allow interrogation of these key informational aspects. A Web service was developed to support generation of dynamic GEO label representations and integrated into a number of real-world GIS applications. The service was also utilised in the development of the GEO LINC tool – a GEO label-based dataset discovery and intercomparison decision support tool. The results of the final evaluation study indicated that (a) the GEO label effectively communicates the availability of dataset quality and trustworthiness information and (b) GEO LINC successfully facilitates ‘at a glance’ dataset intercomparison and fitness for purpose-based dataset selection.
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AMS Subj. Classification: 00-02, (General)
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Report published in the Proceedings of the National Conference on "Education and Research in the Information Society", Plovdiv, May, 2015
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Heterogeneous datasets arise naturally in most applications due to the use of a variety of sensors and measuring platforms. Such datasets can be heterogeneous in terms of the error characteristics and sensor models. Treating such data is most naturally accomplished using a Bayesian or model-based geostatistical approach; however, such methods generally scale rather badly with the size of dataset, and require computationally expensive Monte Carlo based inference. Recently within the machine learning and spatial statistics communities many papers have explored the potential of reduced rank representations of the covariance matrix, often referred to as projected or fixed rank approaches. In such methods the covariance function of the posterior process is represented by a reduced rank approximation which is chosen such that there is minimal information loss. In this paper a sequential Bayesian framework for inference in such projected processes is presented. The observations are considered one at a time which avoids the need for high dimensional integrals typically required in a Bayesian approach. A C++ library, gptk, which is part of the INTAMAP web service, is introduced which implements projected, sequential estimation and adds several novel features. In particular the library includes the ability to use a generic observation operator, or sensor model, to permit data fusion. It is also possible to cope with a range of observation error characteristics, including non-Gaussian observation errors. Inference for the covariance parameters is explored, including the impact of the projected process approximation on likelihood profiles. We illustrate the projected sequential method in application to synthetic and real datasets. Limitations and extensions are discussed. © 2010 Elsevier Ltd.
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The technological evolution has been making the Distance Education accessible for a greater number of citizens anytime and anywhere. The potential increase of the supply for mobile devices integrated to mobile learning environments allows that the information comes out of the physical environment, creating opportunities for students and teachers to create geographically distributed learning scenarios. However, many applications developed for these environments remain isolated from each other and do not become integrated sufficiently into the virtual learning environments (AVA). This dissertation presents an interoperability model between mobile devices and distinct AVA based on webservices. For the conception of this model, requirements engineering and software architecture techniques were used. With the goal of showing the model viability, a mobile application focused on surveys has been developed, and additionally, the main functionalities related to the interoperability were tested
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Graph Reduction Machines, are a traditional technique for implementing functional programming languages. They allow to run programs by transforming graphs by the successive application of reduction rules. Web service composition enables the creation of new web services from existing ones. BPEL is a workflow-based language for creating web service compositions. It is also the industrial and academic standard for this kind of languages. As it is designed to compose web services, the use of BPEL in a scenario where multiple technologies need to be used is problematic: when operations other than web services need to be performed to implement the business logic of a company, part of the work is done on an ad hoc basis. To allow heterogeneous operations to be part of the same workflow, may help to improve the implementation of business processes in a principled way. This work uses a simple variation of the BPEL language for creating compositions containing not only web service operations but also big data tasks or user-defined operations. We define an extensible graph reduction machine that allows the evaluation of BPEL programs and implement this machine as proof of concept. We present some experimental results.
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La tesi tratta di un web service capace di estrapolare i dati da un database Oracle utilizzato da un gestionale già esistente, per darli come output ad un portale da cui il cittadino si potrà collegare, visionandoli. Il gestionale si occupa della fase coattiva, ovvero quando un contribuente non paga una multa o una qualsiasi tassa; fino ad oggi non era possibile far vedere in via telematica i dati della situazione coattiva di un contribuente. Grazie al web service da me creato un portale potrà fare vedere i dati al contribuente tramite esso. Inoltre grazie a questo web service in futuro si potranno collegare anche con altri portali o app smartphone per dare ulteriori servizi al cittadino.
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The Semantic Annotation component is a software application that provides support for automated text classification, a process grounded in a cohesion-centered representation of discourse that facilitates topic extraction. The component enables the semantic meta-annotation of text resources, including automated classification, thus facilitating information retrieval within the RAGE ecosystem. It is available in the ReaderBench framework (http://readerbench.com/) which integrates advanced Natural Language Processing (NLP) techniques. The component makes use of Cohesion Network Analysis (CNA) in order to ensure an in-depth representation of discourse, useful for mining keywords and performing automated text categorization. Our component automatically classifies documents into the categories provided by the ACM Computing Classification System (http://dl.acm.org/ccs_flat.cfm), but also into the categories from a high level serious games categorization provisionally developed by RAGE. English and French languages are already covered by the provided web service, whereas the entire framework can be extended in order to support additional languages.
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[ES]El Instituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería y en especial la División de Robótica y Oceanografía Computacional está desarrollando un velero autónomo de superficie que requiere de un sistema para la detección y evasión de obstáculos. Dicho sistema se ha desarrollado sobre una Raspberry Pi con un servicio para la captura de imágenes, así como un servidor web que permita la modificación de la configuración de la cámara. Una vez completada dicha infraestructura se tomaron las fotografías que conformarán el conjunto de entrenamiento para el sistema de visión por computador y se desarrollará este último. Los resultados se han integrado con el sistema del control modificando el rumbo cuando se detecte un obstáculo.
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Thesis (Ph.D.)--University of Washington, 2016-08
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Gli Open Data sono un'utile strumento che sta via via assumendo sempre più importanza nella società; in questa tesi vedremo la loro utilità attraverso la realizzazione di un'applicazione mobile, che utilizza questi dati per fornire informazioni circa lo stato ambientale dell'aria e dei pollini in Emilia Romagna, sfruttando i dataset forniti da un noto ente pubblico (Arpa Emilia Romagna). Tale applicazione mobile si basa su un Web Service che gestisce i vari passaggi dei dati e li immagazzina in un database Mongodb. Tale Web Service è stato creato per essere a sua volta messo a disposizione di programmatori, enti o persone comuni per studi e sviluppi futuri in tale ambito.
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Les activités de la vie quotidienne sont indispensables pour le bien-être physique et moral. Pour que celle-ci soit réussie par les personnes ayant un traumatisme crânien cérébral (TCC), une aide technologique s’avère souvent nécessaire. Les troubles cognitifs empêchent les personnes ayant un TCC de rester chez elles. L’assistant culinaire est un outil composé de trois sous-systèmes: assistance, supervision et communication. L’assistant permet aux personnes ayant un TCC de cuisiner un repas chaud en proposant à celles-ci des stratégies d’assistance cognitive. Ce mémoire présente le sous-système de communication, qui établit la communication entre la personne ayant un TCC et l’assistant culinaire. Nous avons utilisé la méthode LUCID pour concevoir le sous-système de communication. Tout d’abord, nous avons commencé par l’étape prospective et d’exploration pour définir les membres de l’équipe et leurs rôles, afin de comprendre le comportement des personnes ayant un TCC. Pour la compréhension des comportements, nous avons utilisé les persona et des scénarios. Nous avons conçu trois persona principaux (TCC sévère, modéré et léger) et deux secondaires (proche aidant et ergothérapeute). Après la validation des persona, nous avons construit deux scénarios, un sans assistance qui permet de comprendre la gradation d’assistance donnée par l’ergothérapeute durant l’évaluation, un avec assistance pour concevoir les fonctionnalités de l’assistant culinaire et d’établir la communication entre les trois sous-systèmes et l’utilisateur. Ensuite, nous avons conçu les interfaces de l’assistant culinaire selon chaque profil des AVQ. Finalement nous avons développé le sous-système de communication en utilisant des actes de langage pour définir la communication entre les trois sous-systèmes de communication et la gradation de l’assistance, des web service REST comme une technologie qui rend chaque sous-système indépendant. L’assistant culinaire est en cours de développement. Enfin, ultérieurement les différentes fonctionnalités de l’assistant seront testées dans l’appartement de laboratoire DOMUS, et ensuite il sera implémenté auprès de personnes ayant un TCC pour une utilisation régulière chez elles.
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Esta investigação trata-se de um estudo com a população universitária Portuguesa e Espanhola sobre padrões de uso/abuso da Internet, assim como os recursos específicos mais usados. Foi usada uma amostra aleatória de 206 sujeitos, da Universidade Autónoma de Madrid e do Campus Universitário de Lisboa, de diferentes licenciaturas, de ambos os sexos e com idades compreendidas entre os 18 e os 40 anos. O instrumento usado foi um questionário adaptado do Internet Addiction Test, de Young (1998). As principais conclusões sugerem que, no que se refere ao tempo de conexão verificámos que a maior percentagem da amostra (46,1%) realiza um uso moderado da Internet (menos de 2 horas diárias) mas 36,9% podem já apresentar alguns indícios de adicção ao estarem de 2 a 5 horas diárias conectados à Internet. Na avaliação dos parâmetros do uso dos recursos específicos da Internet, podemos encontrar que a Web é o serviço mais procurado seguindo-se o e-mail (com 62,1% e 57,3% respectivamente). Encontrámos ainda que 16,5% da amostra apresenta valores representativos de adicção. /ABSTRACT: This research comes from a study with the Portuguese and Spanish university population on patterns of use I abuse of the Internet, as well as the specific resources used most. We used a random sample of 206 subjects, the Autonomous University of Madrid and the University Campus of Lisbon, in different degrees of both sexes and aged between 18 and 40 years. The instrument used was a questionnaire adapted from the Internet Addiction Test, Young (1998). The main findings suggest that with regard to the connection time found that the largest percentage of the sample (46.1%) carries a moderate use of the Internet (less than 2 hours) but 36.9% can introduce some evidence addiction are at one of the 2 to 5 hours a day connected to the Internet. ln assessing the parameters of the use of specific resources of the Internet, we find that the Web service is the most sought followed by email (with 62.1% and 57.3% respectively). We found also that 16.5% of the sample shows values representative of addiction.