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Publicações

2011

Integration of ePortfolios in Learning Management Systems

Autores
Queiros, R; Oliveira, L; Leal, JP; Moreira, F;

Publicação
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2011, PT V

Abstract
The LMS plays a decisive role in most eLearning environments. Although they integrate many useful tools for managing eLearning activities, they must also be effectively integrated with other specialized systems typically found in an educational environment such as Repositories of Learning Objects or ePortfolio Systems. Both types of systems evolved separately but in recent years the trend is to combine them, allowing the LMS to benefit from using the ePortfolio assessment features. This paper details the most common strategies for integrating an ePortfolio system into an LMS: the data, the API and the tool integration strategies. It presents a comparative study of strategies based on the technical skills, degree of coupling, security features, batch integration, development effort, status and standardization. This study is validated through the integration of two of the most representative systems on each category - respectively Mahara and Moodle.

2011

Speeding up hoeffding-based regression trees with options

Autores
Ikonomovska, E; Gama, J; Zenko, B; Dzeroski, S;

Publicação
Proceedings of the 28th International Conference on Machine Learning, ICML 2011

Abstract
Data streams are ubiquitous and have in the last two decades become an important research topic. For their predictive non-parametric analysis, Hoeffding-based trees are often a method of choice, offering a possibility of any-time predictions. However, one of their main problems is the delay in learning progress due to the existence of equally discriminative attributes. Options are a natural way to deal with this problem. Option trees build upon regular trees by adding splitting options in the internal nodes. As such they are known to improve accuracy, stability and reduce ambiguity. In this paper, we present on-line option trees for faster learning on numerical data streams. Our results show that options improve the any-time performance of ordinary on-line regression trees, while preserving the interpretable structure of trees and without significantly increasing the computational complexity of the algorithm. Copyright 2011 by the author(s)/owner(s).

2011

An Approach to Performance Management in Collaborative Networks Based on Stakeholders' Key Success Factors

Autores
Ferreira, PS; Cunha, PF; Carneiro, L; Sa, A;

Publicação
ADAPTATION AND VALUE CREATING COLLABORATIVE NETWORKS

Abstract
Performance management in collaborative networks requires approaches suitable to deal with a larger domain than in traditional organisations, including new processes, new stakeholders and a less clear border between internal and external. The proposed approach addresses objectives and strategies setting, performance measurement and evaluation, monitoring, learning and improvement. It relies on the identification of key stakeholders and on their key success factors which provide the external perspective driving the performance evaluation and improvement. The work starts from the consideration of different natures and life times of Business Communities and Virtual Organisations, analyses the stakeholders' relations and emphasises the clear identification of value creation for stakeholders as an essential component to align organisations.

2011

Search for Light Dark Matter in XENON10 Data

Autores
Angle, J; Aprile, E; Arneodo, F; Baudis, L; Bernstein, A; Bolozdynya, AI; Coelho, LCC; Dahl, CE; DeViveiros, L; Ferella, AD; Fernandes, LMP; Fiorucci, S; Gaitskell, RJ; Giboni, KL; Gomez, R; Hasty, R; Kastens, L; Kwong, J; Lopes, JAM; Madden, N; Manalaysay, A; Manzur, A; McKinsey, DN; Monzani, ME; Ni, K; Oberlack, U; Orboeck, J; Plante, G; Santorelli, R; dos Santos, JMF; Schulte, S; Shagin, P; Shutt, T; Sorensen, P; Winant, C; Yamashita, M; XENON10 Collaboration,;

Publicação
PHYSICAL REVIEW LETTERS

Abstract
We report results of a search for light (less than or similar to 10 GeV) particle dark matter with the XENON10 detector. The event trigger was sensitive to a single electron, with the analysis threshold of 5 electrons corresponding to 1.4 keV nuclear recoil energy. Considering spin-independent dark matter-nucleon scattering, we exclude cross sections sigma(n) > 7 x 10(-42) cm(2), for a dark matter particle mass m(chi) = 7 GeV. We find that our data strongly constrain recent elastic dark matter interpretations of excess low-energy events observed by CoGeNT and CRESST-II, as well as the DAMA annual modulation signal.

2011

Collaborative Customization Strategy for Complex Products - Prospects for Engineer-to-Order and Customize-to-Order Production Scenarios

Autores
Shamsuzzoha, A; Kankaanpaa, T; Carneiro, L; Helo, P;

Publicação
ADAPTATION AND VALUE CREATING COLLABORATIVE NETWORKS

Abstract
To compete in globalized business environments, manufacturing firms, especially small and medium enterprises (SMEs), need to be collaborative with respect to their total product life cycle. In this research, a focus on complex products is proposed and a new approach to structure collaboration in design and operational activities is suggested. A complete framework and guidelines for collaborative product design, development and manufacturing is proposed with respect to two product development scenarios: Engineer-to-Order (ETO) and Customize-to-Order (CTO). The ETO scenario, which is project-based, and the CTO scenario, which is platform-based, are employed to respond to individualized and market driven production strategies respectively. The CTO scenario is developed using the platform-based product family concept, following a new approach that uses a product configurator and white boxes to assure sustainable customization. The research also explains how the transition from ETO to CTO can be implemented, aiming at improving the customization level and profitability of SMEs. The overall results, lessons learned and future research directions conclude the paper.

2011

A novel fuzzy-based methodology for biogas fuelled hybrid energy systems decision making

Autores
Barin, A; Canha, LN; Magnago, KM; Matos, MA; Wottrich, B;

Publicação
Studies in Fuzziness and Soft Computing

Abstract
In response to the soaring energy crisis and the related pollution problems worldwide, it is essential to apply new technologies that use renewable energy sources in both an efficient and environmentally friendly manner. In this way, biomass offers one of the largest potential among renewable energy sources. The aim of this work is to demonstrate a novel fuzzy-based methodology for selecting hybrid energy systems fuelled by biogas. Fuzzy multi-rules and fuzzy multi-sets are used to evaluate the main operational characteristics of five types of renewable sources fuelled by biogas. The possibility of using the methodology for energy storage system evaluation is also assessed. The construction of the fuzzy multirules and fuzzy multi-sets is based on the following methods: Mamdani (fuzzification process), Max-Min (inference process), and Center of Gravity (defuzzification process). Several criteria are used: costs, efficiency, cogeneration, life-cycle, technical maturity, power application range, and environmental impacts. The methodology considers three different settings with two different constraints: costs and environment. One of the most relevant aspects presented by this work is about the previous classification of the criteria. It was created according to the different relevance observed among the attributes. The purpose of the proposed arrangement is to facilitate the understanding of the methodology and to increase the possibility of incorporating the decision makers' preferences on the decision-aid process. These aspects are essential to strengthen the final decision. © Springer-Verlag Berlin Heidelberg 2011.

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