Information Outlook, December 2006

Volume 10, Issue 12https://scholarworks.sjsu.edu/sla_io_2006/1011/thumbnail.jp

PicShark: mitigating metadata scarcity through large-scale P2P collaboration

With the commoditization of digital devices, personal information and media sharing is becoming a key application on the pervasive Web. In such a context, data annotation rather than data production is the main bottleneck. Metadata scarcity represents a major obstacle preventing efficient information processing in large and heterogeneous communities. However, social communities also open the door to new possibilities for addressing local metadata scarcity by taking advantage of global collections of resources. We propose to tackle the lack of metadata in large-scale distributed systems through a collaborative process leveraging on both content and metadata. We develop a community-based and self-organizing system called PicShark in which information entropy—in terms of missing metadata—is gradually alleviated through decentralized instance and schema matching. Our approach focuses on semi-structured metadata and confines computationally expensive operations to the edge of the network, while keeping distributed operations as simple as possible to ensure scalability. PicShark builds on structured Peer-to-Peer networks for distributed look-up operations, but extends the application of self-organization principles to the propagation of metadata and the creation of schema mappings. We demonstrate the practical applicability of our method in an image sharing scenario and provide experimental evidences illustrating the validity of our approac

Quantum Portal

Este relatório enquadra-se no curso de Mestrado em Engenharia Informática - Computação Móvel da Escola de Tecnologia e Gestão do Instituto Politécnico de Leiria. O objetivo deste relatório é descrever todo o processo em relação ao estágio de 9 meses que foi realizado na empresa Domatica, bem como o trabalho que foi desenvolvido durante o estágio. Este relatório apresenta informações sobre o local do estágio, o trabalho desenvolvido durante o período de estágio e as conclusões extraídas após a conclusão do estágio. Todo o trabalho realizado foi dedicado ao portal Quantum node. Quantum Node Portal funciona como um Portal de Gestão de Informação e Dispositivos. Ele fornece aos clientes instalações como monitorar nós que estão localizados em diferentes locais. O nosso portal de projetos lida com informação sobre os Quantum Nodes dos vários clientes. A informação inclui o status (on-line / off-line), a localização, a visão dos detalhes dos nós, para reivindicar os nós pelo processo de autenticação e também o gerenciamento dos nós e contas de usuários, armazenando a informação atual do nó atualizada pelos clientes, focando principalmente na apresentação de dados visuais sob a forma de tabelas e gráficos e fornece segurança para o Portal Quantum

How to Use Litigation Technology to Prepare & Present Your Case at Trial October 27, 2021

Meeting proceedings of a seminar by the same name, held October 27, 2021

Digital dying in personal information management towards thanotosensitive information management

Tese de mestrado. Multimédia. Universidade do Porto. Faculdade de Engenharia. 201

Social software for music

Tese de mestrado integrado. Engenharia Informática e Computação. Faculdade de Engenharia. Universidade do Porto. 200

The use of tagging to support the authoring of personalisable learning content

This research project is interested in the area of personalised and adaptable learning and in particular within an e-learning context. Brusilovsky (1996) and Santally (2005) stress the importance of adaptive systems within e-learning. Karagiannikis and Sampson et al. (2004) argue that personalised learning systems can be defined by their capability to adapt automatically to the changing attitudes of the “learning experience” which can, in turn, be defined by the individual learner characteristics, for example the type of learning material. The project evolved to cover areas including personalised learning, e-learning environments, authoring tools, tagging, learning objects, learning theories and learning styles. The main focus at the start of the project was to provide a personalised and adaptable learning environment for students based on their learning style. During the research, this led to a specific interest about how an academic can create, tag and author learning objects to provide the capability of personalised adaptable e-learning for a learner. Research undertaken was designed to gain an understanding of personalised and adaptive learning techniques, e-learning tools and learning styles. Important findings of this research showed that e-learning platforms do not offer much in the way of a personalised learning experience for a learner. Additionally, the research showed that general adaptive systems and adaptive systems incorporating learning styles are not commonly used or available due to issues with flexibility, reuse and integration. The concept of tagging was investigated during the research and it was found that tagging is underused within e-learning, although the research shows that it could be a good ‘fit’ within e-learning. This therefore led to the decision to create a general purpose discriminatory tagging methodology to allow authors to tag learning objects for personalisation and reuse. The main focus for the evaluation of this tagging methodology was the authoring side of the tagging. It was found that other research projects have evaluated the personalisation of learning content based on a learner’s learning style (see Graf and Kinshuk (2007)). It was therefore felt that there was a sufficient body of existing evidence in this area whereas there was limited research available on the authoring side. The evaluation of the discriminatory tagging methodology demonstrated that the methodology could allow for any discrimination between learners to be used. The example demonstrated within this thesis includes discriminating according to a learner’s learning style and accessibility type. This type of platform independent flexible discriminatory methodology does not exist within current e-learning platforms or other e-learning systems. Therefore, the main contribution of this thesis is therefore a platform independent general-purpose discriminatory tagging methodology

Mobile Application and Server Management System for Autonomous Robot Deliveries

The Short to Medium Range Autonomous Delivery System (SMADS) is an end-to-end platform to connect UT Austin-affiliated customers to autonomous delivery robots on UT Austin campus. The SMADS system integrates several subsystems, including two iOS mobile applications, a two-server communication structure and a robot autonomy stack with localization and navigation algorithms, into a global system architecture. This thesis describes the steps taken to develop and integrate the customer-facing iOS App, Texas Bolter, the Manager App and the two-server system comprised of the App Server and the robot servers. Furthermore, this work presents the results of the week long deployment of the SMADS system, delivering free lemonades to specific UT Austin buildings. The recorded issues are discussed and future work is presented. The SMADS system successfully completed 27 trips on varying robot platforms to various locations, demonstrating the robot-agnostic nature of the app and server management system — a useful feature for future human-robot interaction research.Aerospace Engineerin

Web collaboration for software engineering

Tese de mestrado integrado. Engenharia Informática e Computação. Faculdade de Engenharia. Universidade do Porto. 200