Using device detection techniques in M-learning scenarios

Recent studies of mobile Web trends show the continued explosion of mobile-friend content. However, the wide number and heterogeneity of mobile devices poses several challenges for Web programmers, who want automatic delivery of context and adaptation of the content to mobile devices. Hence, the device detection phase assumes an important role in this process. In this chapter, the authors compare the most used approaches for mobile device detection. Based on this study, they present an architecture for detecting and delivering uniform m-Learning content to students in a Higher School. The authors focus mainly on the XML device capabilities repository and on the REST API Web Service for dealing with device data. In the former, the authors detail the respective capabilities schema and present a new caching approach. In the latter, they present an extension of the current API for dealing with it. Finally, the authors validate their approach by presenting the overall data and statistics collected through the Google Analytics service, in order to better understand the adherence to the mobile Web interface, its evolution over time, and the main weaknesses.

Support System for Rational Use of Electric Energy

This paper presents the system developed to promote the rational use of electric energy among consumers and, thus, increase the energy efficiency. The goal is to provide energy consumers with an application that displays the energy consumption/production profiles, sets up consuming ceilings, defines automatic alerts and alarms, compares anonymously consumers with identical energy usage profiles by region and predicts, in the case of non-residential installations, the expected consumption/production values. The resulting distributed system is organized in two main blocks: front-end and back-end. The front-end includes user interface applications for Android mobile devices and Web browsers. The back-end provides data storage and processing functionalities and is installed in a cloud computing platform - the Google App Engine - which provides a standard Web service interface. This option ensures interoperability, scalability and robustness to the system.

Sistema de apoio à racionalização da utilização de energia eléctrica

Esta dissertação descreve o sistema de apoio à racionalização da utilização de energia eléctrica desenvolvido no âmbito da unidade curricular de Tese/Dissertação. O domínio de aplicação enquadra-se no contexto da Directiva da União Europeia 2006/32/EC que declara ser necessário colocar à disposição dos consumidores a informação e os meios que promovam a redução do consumo e o aumento da eficiência energética individual. O objectivo é o desenvolvimento de uma solução que permita a representação gráfica do consumo/produção, a definição de tectos de consumo, a geração automática de alertas e alarmes, a comparação anónima com clientes com perfil idêntico por região e a previsão de consumo/produção no caso de clientes industriais. Trata-se de um sistema distribuído composto por front-end e back-end. O front-end é composto pelas aplicações de interface com o utilizador desenvolvidas para dispositivos móveis Android e navegadores Web. O back-end efectua o armazenamento e processamento de informação e encontra-se alojado numa plataforma de cloud computing – o Google App Engine – que disponibiliza uma interface padrão do tipo serviço Web. Esta opção assegura interoperabilidade, escalabilidade e robustez ao sistema. Descreve-se em detalhe a concepção, desenvolvimento e teste do protótipo realizado, incluindo: (i) as funcionalidades de gestão e análise de consumo e produção de energia implementadas; (ii) as estruturas de dados; (iii) a base de dados e o serviço Web; e (iv) os testes e a depuração efectuados. (iv) Por fim, apresenta-se o balanço deste projecto e efectuam-se sugestões de melhoria.

Persistência de dados na cloud recorrendo a uma estrutura de dados métrica

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Web de control de tráfico marítimo

El proyecto Web de Control de Tráfico Marítimo (WCTM) un proyecto Web que va a gestionar información útil para el Control del Tráfico Marítimo de una determinada zona del mundo. Usa el concepto de arquitectura SOA, una arquitectura que se basa en los servicios Web, proporciona en tiempo real información sobre los buques usando los mapas de Google.

Web professional de serveis informàtics, basat en software de codi obert

El PFC tracte de la implementació d'un web de serveis informàtics basat en software de codi obert i per tal de emprendre-ho i tirar endavant com a negoci, s'ha dut a terme un estudi de les tecnologies i un pla d'empresa, mirant de treu-re la màxima rendibilitat al web.Els serveis escollits com a model de negoci són bàsicament quatre: el disseny web, el disseny de webs e-commerce o tendes virtuals, la implementació de gestors de recursos d'empresa coneguts com ERP (de l'anglès Enterprise Resources Planning), i la implementació de gestors de relacions amb els clients coneguts com CRM (de l'anglès Customer Relationship Management).El primer capítol es una introducció, el segon capítol tracta de el software lliure, que és, quins models de negoci aporta i els tipus de llicència existents, el tercer capítol es un pla d'empresa on es detalla els serveis que oferirem i com ho gestionarem, el quart capítol tracta de les tecnologies utilitzades i el per que, i finalment unes conclusions.La web, netsolucion.com, que s'ha dissenyat amb Wordpress, implica no tan sols el haver d'estudiar i d'aprendre aquesta plataforma sinó també totes les que s'ofereixen com a serveis, que son:Gestor de Bases de Dades MySQL i PHP per al disseny web, Prestashop per al disseny de tendes virtuals, OpenERP per a la implementació dels gestors de recursos de empresa (ERP's) i els gestors de relacions amb els clients (CRM's).

Creació d'una aplicació col·laborativa orientada a web semàntica

L'objectiu d'aquest projecte es la creació d'una plataforma que ofereix un nou format per a presentar aquest tipus d'informació, i que a mes permet la integració d'ontologies per a poder classificar les diferents noticies que s'afegeixin al sistema.

Web Client for Smart Messaging Exchange

TeliaSoneran älykkään viestintäjärjestelmän kehitysluonnoksella (SME) pilotoidaan prototyyppipalveluita, joiden avulla asiakkaat voivat välittää viestejä matkapuhelimilla sekä tietokoneilla. SME:n peruspalveluita voidaan käyttää SIP-standardin mukaisilla asiakasohjelmilla sekä SME:n omilla WAP- ja WWW-käyttöliittymillä. Käyttäjät voivat nähdä toistensa tilatiedon, muuttaa omaa tilatietoaan sekä lähettää SIP-pikaviestejä, sähköpostiviestejä ja tekstiviestejä. Käyttäjät voivat myös ylläpitää listaa yhteyshenkilöistään, vastaanottaa pikaviestejä ja selata vastaanotettuja viestejä. Diplomityössä käsitellään yleisesti SME-järjestelmän rakennetta ja paneudutaan tutkimaan työssä toteutetun SME:n WWW-asiakasohjelman toteutusta. Diplomityössä käydään läpi projektiin liittyviä standardeja, suosituksia, toteustekniikoita sekä palveluita. Lisäksi tarkastellaan työssä hyödynnettyjä ohjelmointirajapintoja, nykyisiä älypuhelimia sekä niiden Internet-selaimia, jotka rajoittavat WWW-asiakaspalvelun toteutuksessa käytettyjä toteutustekniikkavaihtoehtoja. Lopuksi esitellään toteutettujen ohjelmistojen sisäistä rakennetta ja toimintaa.

BioSWR - Semantic Web services Registry for Bioinformatics

Article About the Authors Metrics Comments Related Content Abstract Introduction Functionality Implementation Discussion Acknowledgments Author Contributions References Reader Comments (0) Figures Abstract Despite of the variety of available Web services registries specially aimed at Life Sciences, their scope is usually restricted to a limited set of well-defined types of services. While dedicated registries are generally tied to a particular format, general-purpose ones are more adherent to standards and usually rely on Web Service Definition Language (WSDL). Although WSDL is quite flexible to support common Web services types, its lack of semantic expressiveness led to various initiatives to describe Web services via ontology languages. Nevertheless, WSDL 2.0 descriptions gained a standard representation based on Web Ontology Language (OWL). BioSWR is a novel Web services registry that provides standard Resource Description Framework (RDF) based Web services descriptions along with the traditional WSDL based ones. The registry provides Web-based interface for Web services registration, querying and annotation, and is also accessible programmatically via Representational State Transfer (REST) API or using a SPARQL Protocol and RDF Query Language. BioSWR server is located at http://inb.bsc.es/BioSWR/and its code is available at https://sourceforge.net/projects/bioswr/​under the LGPL license.

Leveraging open access for integrating repository data at Indiana University Libraries

Poster at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

A systematic mapping study of web services discovery mechanisms

Context: Web services have been gaining popularity due to the success of service oriented architecture and cloud computing. Web services offer tremendous opportunity for service developers to publish their services and applications over the boundaries of the organization or company. However, to fully exploit these opportunities it is necessary to find efficient discovery mechanism thus, Web services discovering mechanism has attracted a considerable attention in Semantic Web research, however, there have been no literature surveys that systematically map the present research result thus overall impact of these research efforts and level of maturity of their results are still unclear. This thesis aims at providing an overview of the current state of research into Web services discovering mechanism using systematic mapping. The work is based on the papers published 2004 to 2013, and attempts to elaborate various aspects of the analyzed literature including classifying them in terms of the architecture, frameworks and methods used for web services discovery mechanism. Objective: The objective if this work is to summarize the current knowledge that is available as regards to Web service discovery mechanisms as well as to systematically identify and analyze the current published research works in order to identify different approaches presented. Method: A systematic mapping study has been employed to assess the various Web Services discovery approaches presented in the literature. Systematic mapping studies are useful for categorizing and summarizing the level of maturity research area. Results: The result indicates that there are numerous approaches that are consistently being researched and published in this field. In terms of where these researches are published, conferences are major contributing publishing arena as 48% of the selected papers were conference published papers illustrating the level of maturity of the research topic. Additionally selected 52 papers are categorized into two broad segments namely functional and non-functional based approaches taking into consideration architectural aspects and information retrieval approaches, semantic matching, syntactic matching, behavior based matching as well as QOS and other constraints.

Cloud Integrator: uma plataforma para composição de serviços em ambientes de computação em nuvem

With the advance of the Cloud Computing paradigm, a single service offered by a cloud platform may not be enough to meet all the application requirements. To fulfill such requirements, it may be necessary, instead of a single service, a composition of services that aggregates services provided by different cloud platforms. In order to generate aggregated value for the user, this composition of services provided by several Cloud Computing platforms requires a solution in terms of platforms integration, which encompasses the manipulation of a wide number of noninteroperable APIs and protocols from different platform vendors. In this scenario, this work presents Cloud Integrator, a middleware platform for composing services provided by different Cloud Computing platforms. Besides providing an environment that facilitates the development and execution of applications that use such services, Cloud Integrator works as a mediator by providing mechanisms for building applications through composition and selection of semantic Web services that take into account metadata about the services, such as QoS (Quality of Service), prices, etc. Moreover, the proposed middleware platform provides an adaptation mechanism that can be triggered in case of failure or quality degradation of one or more services used by the running application in order to ensure its quality and availability. In this work, through a case study that consists of an application that use services provided by different cloud platforms, Cloud Integrator is evaluated in terms of the efficiency of the performed service composition, selection and adaptation processes, as well as the potential of using this middleware in heterogeneous computational clouds scenarios

Jolie - un linguaggio Service Oriented

Nella tesi vengono descritte le caratteristiche principali del linguaggio di programmazione service-oriented Jolie, analizzandone ampiamente la sintassi e proponendo esempi di utilizzo degli operatori e dei costrutti. Viene fatta una panoramica di SOC, SOA, Web Services, Cloud Computing, Orchestrazione, Coreografia, Deployment e Behaviour, gli ultimi due analizzati in diversi capitoli. La tesi si conclude con un esempio di conversione di servizi WSDL in Jolie, producendo un esempio di utilizzo del Web Service convertito. Nel documento vengono accennati i progressi storici del linguaggio ed i loro sviluppatori, nonché le API fornite dal linguaggio.

Machine Learning applicato al Web Semantico: Statistical Relational Learning vs Tensor Factorization

Obiettivo della tesi è analizzare e testare i principali approcci di Machine Learning applicabili in contesti semantici, partendo da algoritmi di Statistical Relational Learning, quali Relational Probability Trees, Relational Bayesian Classifiers e Relational Dependency Networks, per poi passare ad approcci basati su fattorizzazione tensori, in particolare CANDECOMP/PARAFAC, Tucker e RESCAL.

Implementazione ed analisi di un framework basato su Cloud per la valutazione di algoritmi di data Distribution Management

Il Data Distribution Management (DDM) è un componente dello standard High Level Architecture. Il suo compito è quello di rilevare le sovrapposizioni tra update e subscription extent in modo efficiente. All'interno di questa tesi si discute la necessità di avere un framework e per quali motivi è stato implementato. Il testing di algoritmi per un confronto equo, librerie per facilitare la realizzazione di algoritmi, automatizzazione della fase di compilazione, sono motivi che sono stati fondamentali per iniziare la realizzazione framework. Il motivo portante è stato che esplorando articoli scientifici sul DDM e sui vari algoritmi si è notato che in ogni articolo si creavano dei dati appositi per fare dei test. L'obiettivo di questo framework è anche quello di riuscire a confrontare gli algoritmi con un insieme di dati coerente. Si è deciso di testare il framework sul Cloud per avere un confronto più affidabile tra esecuzioni di utenti diversi. Si sono presi in considerazione due dei servizi più utilizzati: Amazon AWS EC2 e Google App Engine. Sono stati mostrati i vantaggi e gli svantaggi dell'uno e dell'altro e il motivo per cui si è scelto di utilizzare Google App Engine. Si sono sviluppati quattro algoritmi: Brute Force, Binary Partition, Improved Sort, Interval Tree Matching. Sono stati svolti dei test sul tempo di esecuzione e sulla memoria di picco utilizzata. Dai risultati si evince che l'Interval Tree Matching e l'Improved Sort sono i più efficienti. Tutti i test sono stati svolti sulle versioni sequenziali degli algoritmi e che quindi ci può essere un riduzione nel tempo di esecuzione per l'algoritmo Interval Tree Matching.