Cunha, Jácome, João Paulo Fernandes, Jorge Mendes, and João Saraiva. "
MDSheet: A Framework for Model-driven Spreadsheet Engineering."
Proceedings of the 34rd International Conference on Software Engineering. ICSE'12. ACM, 2012. 1395-1398.
Abstractn this paper, we present MDSHEET, a framework for the embedding, evolution and inference of spreadsheet models. This framework offers a model-driven software development mechanism for spreadsheet users.
Pereira, Pedro, Helena Fino, Fernando Coito, and M. Ventim-Neves. "
Optimization-Based Design of Nano-CMOS LC-VCOs."
Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2012. Eds. Luis Camarinha-Matos, Ehsan Shahamatnia, and Gonçalo Nunes. Vol. 372. IFIP Advances in Information and Communication Technology, 372. Costa de Caparica - Portugal: Springer Boston, 2012. 453-464.
AbstractThis paper introduces a variability-aware methodology for the design of LC-VCOs in Nano-CMOS technologies. The complexity of the design as well as the necessity for having an environment offering the possibility for exploring design trade-offs has led to the development of design methodologies based multi-objective optimization procedures yielding the generation of Pareto-optimal surfaces. The efficiency of the process is granted by using analytical models for both passive and active devices. Although physics-based analytical expressions have been proposed for the evaluation of the lumped elements, the variability of the process parameters is usually ignored due to the difficulty to formalize it into an optimization performance index. The usually adopted methodology of considering only optimum solutions for the Pareto surface, may lead to pruning quasi-optimal solutions that may prove to be better, should their sensitivity to process parameter variation be accounted for. In this work we propose starting by generating an extended Pareto surface where both optimum and quasi-optimum solutions are considered. Finally information on the sensitivity to process parameter variations, is used for electing the best design solution.
Zeballos, L. J., M. I. Gomes, A. P. Barbosa-Povoa, and A. Q. Novais. "
Optimum Design and Planning of Resilient and Uncertain Closed-Loop Supply Chains."
22nd European Symposium on Computer Aided Process Engineering. Eds. Ian David Lockhart Bogle, and Michael Fairweather. Vol. 30. Computer Aided Chemical Engineering, 30. London: Elsevier, 2012. 407-411.
AbstractThe design and planning of efficient supply chains (SC) is a major challenge that increases when the return of products has to be accounted for, the so-called closed-loop supply chains (CLSC). In the present work the effect of disruptions and modifications in the operating conditions of CLSCs are investigated on the basis of a 2-stage scenario based model previously developed by the authors. Metrics derived from graph theory are used, along with more conventional economic and operational indices. A discussion on the results obtained is presented to assess how the design and planning of the CLSC respond to these challenges and how these metrics may contribute to this objective.
Bernardo, M., N. Lapa, M. Gonçalves, B. Mendes, F. Pinto, I. Fonseca, and H. Lopes. "
Physico-chemical properties of chars obtained in the co-pyrolysis of waste mixtures."
Journal of Hazardous Materials. 219-220 (2012): 196-202.
AbstractThe present work aims to perform a multistep upgrading of chars obtained in the co-pyrolysis of PE, PP and PS plastic wastes, pine biomass and used tires. The quality of the upgraded chars was evaluated by measuring some of their physico-chemical properties in order to assess their valorisation as adsorbents’ precursors. The crude chars were submitted to a sequential solvent extraction with organic solvents of increasing polarity (hexane, mixture 1:1 v/v hexane:acetone and acetone) followed by an acidic demineralization procedure with 1 M HCl solution. The results obtained showed that the upgrading treatment allow the recovery of 63–81% of the pyrolysis oils trapped in the crude chars and a reduction in the char's ash content in the range of 64–86%. The textural and adsorption properties of the upgraded chars were evaluated and the results indicate that the chars are mainly mesoporous and macroporous materials, with adsorption capacities in the range of 3.59–22.2 mg/g for the methylene blue dye. The upgrading treatment allowed to obtain carbonaceous materials with quality to be reused as adsorbents or as precursors for activated carbon.
Pereira, Pedro, Fernando Coito, and Helena Fino. "
PSO-Based Design of RF Integrated Inductor."
Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2012. Eds. Luis Camarinha-Matos, Ehsan Shahamatnia, and Gonçalo Nunes. Vol. 372. IFIP Advances in Information and Communication Technology, 372. Costa de Caparica - Portugal: Springer Boston, 2012. 475-482.
AbstractThis paper addresses an optimization-based approach for the design of RF integrated inductors. The methodology presented deals with the complexity of the design problem by formulating it as a multi-objective optimization. The multi-modal nature of the underlying functions combined with the need to be able to explore design trade-offs leads to the use of niching methods. This allows exploring not only the best trade-off solutions lying on the Pareto-optimum surface but also the quasi-optimum solutions that would be otherwise discarded. In this paper we take advantage of the niching properties of lbest PSO algorithm using ring topology to devise a simple optimizer able to find the local-optima. For the efficiency of the process analytical models are used for the passive/active devices. In spite the use of physics-based analytical expressions for the evaluation of the lumped elements, the variability of the process parameters is ignored in the optimization stage due to the significant computational burden it involves. Thus in the final stage both the Pareto-optimum solutions and the quasi-optimum solutions are evaluated with respect to the sensitivity to process parameter variations.
Cunha, Jácome, João Paulo Fernandes, Jorge Mendes, Pedro Martins, and João Saraiva. "
SmellSheet Detective: A Tool for Detecting Bad Smells in Spreadsheets."
Proceedings of the 2012 IEEE Symposium on Visual Languages and Human-Centric Computing. VLHCC '12. Washington, DC, USA: IEEE Computer Society, 2012. 243-244.
AbstractThis tool demo paper presents SmellSheet Detective: a tool for automatically detecting bad smells in spreadsheets. We have defined a catalog of bad smells in spreadsheet data which was fully implemented in a reusable library for the manipulation of spreadsheets. This library is the building block of the SmellSheet Detective tool, that has been used to detect smells in large, real-world spreadsheet within the EUSES corpus, in order to validate and evolve our bad smells catalog.