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  • Artigo de evento
    On the use of UML.P for modeling a real application as a planning problem
    (2006) VAQUERO, T. S.; Flavio Tonidandel; BARROS, L. N. DE; SILVA, J. R.
    There is a great interest in the planning community to apply all developments already achieved in the area to real applications. Such scenario makes the community focus on Knowledge Engineering (KE) applied in modeling of planning problems and domains. In this paper, we propose the use of UML for Planning Approach, denominated UML.P, during planning domain modeling process. We also discuss the exposure of UML.P to a real application, e.g., the sequencing car problems in an assembly line. This modeling experience, using a classical manufacturing problem, provides some insights and considerations that can contribute to a general KE process for planning. Copyright © 2006, American Association for Artificial Intelligence ( All rights reserved.
  • Artigo de evento
    itSIMPLE2.0: An integrated tool for designing planning domains
    (2007-09-26) VAQUERO, T. S.; ROMERO, V.; Flavio Tonidandel; SILVA, J. R.
    A great effort has been made today in the area of Artificial Intelligence for defining reliable automated planning systems that can be applied in real life applications. That leads to the need of a systematic design process, in which the initial phases are not neglected and where Knowledge and Requirement Engineering tools have a fundamental role for supporting designers. Following this principle, this paper presents the evolution of the tool itSIMPLE which implements a KE integrated environment where designers can perform knowledge acquisition, domain modeling, domain model analysis, model testing, maintenance and plan analysis processes by using different well-known languages such as UML, Petri Nets, PDDL and XML, each one of them with its best contribution. The tool supports users in an organized object-oriented domain design process with a friendly and easy-to-use interface. Copyright © 2007, Association for the Advancement of Artificial Intelligence ( All rights reserved.
  • Artigo de evento
    Surface reconstruction for generating digital models of prosthesis
    (2011-03-05) DE AQUINO, L. C. M.; LEITE, D. A. T. Q.; GIRALDI, G. A.; CARDOSO, J. S.; Paulo Rodrigues; NEVES, L. A. P.
    The restoration and recovery of a defective skull can be performed through operative techniques to implant a customized prosthesis. Recently, image processing and surface reconstruction methods have been used for digital prosthesis design. In this paper we present a framework for prosthesis modeling. Firstly, we take the computed tomography (CT) of the skull and perform bone segmentation by thresholding. The obtained binary volume is processed by morphological operators, frame-by-frame, to get the inner and outer boundaries of the bone. These curves are used to initialize a 2D deformable model that generates the prosthesis boundary in each CT frame. In this way, we can fill the prosthesis volume which is the input for a marching cubes technique that computes the digital model of the target geometry. In the experimental results we demonstrate the potential of our technique and compare it with a related one.
  • Artigo de evento
    Expanding personas: How to improve knowledge about users
    (2013-07-22) MASIERO, A. A.; DESTRO, R. C.; CURIONI, O. A.; Plinio Thomaz Aquino Junior
    Persona addresses one of the first challenges created by user-centered design, the creation of users profile to be used in the first design of user interface. This paper proposes a continuous process to evaluate and improve created personas, using additional information collected through interviews and dedicated software on each design interaction, to expand the knowledge about each persona, which means, the knowledge about the system users. The improvement on Expanded Persona was verified on a medical system developed by authors' team.
  • Artigo de evento
    A study of a firefly meta-heuristics for multithreshold image segmentation
    (2014-10-14) ERDMANN, H.; LOPES, L. A.; Guilherme Lopes; RIBEIRO, M. P.; Paulo Rodrigues
    © 2014 Taylor & Francis Group, London.Thresholding-based image segmentation algorithms are usually developed for a specific set of images because the objective of these algorithms is strongly related to their applications. The binarization of the image is generally preferred over multi-segmentation, mainly because it’s simple and easy to implement. However, in this paper we demonstrate that a scene separation with three threshold levels can be more effective and closer to a manually performed segmentation. Also, we show that similar results can be achieved through a firefly-based meta-heuristic. Finally, we suggest a similarity measure that can be used for the comparison between the distances of the automatic and manual segmentation.
  • Artigo de evento
    Automatic source code correction system focused on teacher's usability
    (2019-03-12) BELTRAME, F. S.; MAIA, R. F.; Guilherme Lopes
    Copyright © 2019 by the International Institute ofInformatics and Systemics.In the Computing area many workout correction systems are used for automatic correction of source codes. However, one of the main impediments to the use of these tools is the inefficiency of the interface for the elaboration and use of the teacher in their discipline. In this project, we propose an automatic correction system for source codes so that the teacher can elaborate his own corrector in a practical manner. This corrector is used as a comparison guideline for submitted exercises.