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Open access

Jerzy Mikulik and Mirosław Zajdel

References Drągowski, A. (2004). Importance of enigineering geology studies in the environmental impact assessments, Przegląd Geologiczny   52 (5): 138-140, (in Polish). Dwiliński, L. (2006). The Basics of Technical Structures Exploitation , Warsaw University of Technology Press, Warsaw, (in Polish) Hauryłkiewicz, J. (2005). Probabilistic evaluation of the environment conditions: Methodological issues, Przegląd Geologiczny   53 (6): 516-521, (in Polish

Open access

Grzegorz Nalepa and Antoni Ligęza

The HeKatE methodology. Hybrid engineering of intelligent systems

This paper describes a new approach, the HeKatE methodology, to the design and development of complex rule-based systems for control and decision support. The main paradigm for rule representation, namely, eXtended Tabular Trees (XTT), ensures high density and transparency of visual knowledge representation. Contrary to traditional, flat rule-based systems, the XTT approach is focused on groups of similar rules rather than on single rules. Such groups form decision tables which are connected into a network for inference. Efficient inference is assured as only the rules necessary for achieving the goal, identified by the context of inference and partial order among tables, are fired. In the paper a new version of the language—XTT22—is presented. It is based on ALSV(FD) logic, also described in the paper. Another distinctive feature of the presented approach is a top-down design methodology based on successive refinement of the project. It starts with Attribute Relationship Diagram (ARD) development. Such a diagram represents relationships between system variables. Based on the ARD scheme, XTT tables and links between them are generated. The tables are filled with expert-provided constraints on values of the attributes. The code for rule representation is generated in a humanreadable representation called HMR and interpreted with a provided inference engine called HeaRT. A set of software tools supporting the visual design and development stages is described in brief.

Open access

Mostafa Ardakani, Rassoul Noorossana, Seyed Akhavan Niaki and Homayoun Lahijanian

). Multiobjective Decision Making: Theory and Methodology , North Holland, New York, NY. Deb, k., (2001). Multi-objective Optimization Using Evolutionary Algorithms , Wiley, New York, NY. Del Castillo, E., Alvarez, M.J., Ilzarbe, L. and Viles, E., (2007). A new design criterion for robust parameter experiments, Journal of Quality Technology 39(3): 279-295. Del Castillo, E. and Montgomery, D.C., (1993). A nonlinear programming solution to the dual response problem, Journal of Quality Technology 25

Open access

Lyall Di Trapani and Tamer Inanc

NTGsim: A graphical user interface and a 3D simulator for nonlinear trajectory generation methodology

Nonlinear Trajectory Generation (NTG), developed by Mark Milam, is a software algorithm used to generate trajectories of constrained nonlinear systems in real-time. The goal of this paper is to present an approach to make NTG more user-friendly. To accomplish this, we have programmed a Graphical User Interface (GUI) in Java, using object oriented design, which wraps the NTG software and allows the user to quickly and efficiently alter the parameters of NTG. This new program, called NTGsim, eliminates the need to reprogram the NTG algorithm explicitly each time the user wishes to change a parameter.

Open access

Khalid Saeed, Marek Tabędzki, Mariusz Rybnik and Marcin Adamski

Kaufmann, San Francisco, CA. Lam, L., Lee, S.-W. and Suen, C. Y. (1992). Thinning methodologies—A comprehensive survey, IEEE Transactions on Pattern Analysis and Machine Intelligence   14 (9): 869-885. Lee, S.-W., Lam, L. and Suen, C. Y. (1991). Performance evaluation of skeletonizing algorithms for document image processing, Proceedings of the First International Conference on Document Analysis and Recognition, Saint-Malo, France , pp. 260-271. Malina, W., Ablemeyko, S. and Pawlak, W. (2002

Open access

Marek Sikora and Beata Sikora

York, NY. Dembczyński, K., Kotowiski, W. and Słowiński, R. (2010). Ender: A statistical framework for boosting decision rules, Data Mining and Knowledge Discovery   21 (1): 52-90. Dixon, W. (1992). A Statistical Analysis of Monitored Data for Methane Prediction , Ph.D. thesis, University of Nottingham, Nottingham. Duch, W., Adamczak, R. and Grabczewski, K. (2000). A new methodology of extraction, optimization and application of crisp and fuzzy logical rules, IEEE Transactions on Neural

Open access

Piotr Szwed and Paweł Skrzyński

5 (2): 288-297. Maglogiannis, I., Zafiropoulos, E., Platis, A. and Lambrinoudakis, C. (2006). Risk analysis of a patient monitoring system using Bayesian network modeling, Journal of Biomedical Informatics 39 (6): 637-647. Mikulik, J. and Zajdel, M. (2009). Automatic risk control based on FSA methodology adaptation for safety assessment in intelligent buildings, International Journal of Applied Mathematics and Computer Science 19 (2): 317-326, DOI: 10.2478/v10006-009-0027-1. Modarres, M., Kaminskiy, M. and

Open access

Denis Berdjag, Vincent Cocquempot, Cyrille Christophe, Alexey Shumsky and Alexey Zhirabok

Algebraic approach for model decomposition: Application to fault detection and isolation in discrete-event systems

This paper presents a constrained decomposition methodology with output injection to obtain decoupled partial models. Measured process outputs and decoupled partial model outputs are used to generate structured residuals for Fault Detection and Isolation (FDI). An algebraic framework is chosen to describe the decomposition method. The constraints of the decomposition ensure that the resulting partial model is decoupled from a given subset of inputs. Set theoretical notions are used to describe the decomposition methodology in the general case. The methodology is then detailed for discrete-event model decomposition using pair algebra concepts, and an extension of the output injection technique is used to relax the conservatism of the decomposition.

Open access

Nicholas P. Karampetakis and Rallis Karamichalis

Abstract

This paper proposes a discretization technique for a descriptor differential system. The methodology used is both triangular first order hold discretization and zero order hold for the input function. Upper bounds for the error between the continuous and the discrete time solution are produced for both discretization methods and are shown to be better than any other existing method in the literature.

Open access

Isabel Pinto Doria, Ana Sousa Ferreira, Otília Dias, Helena Bacelar-Nicolau and Georges Le Calvé

Information from Complex Data. Springer-Verlag, Berlin/Heidelber: 160-165. Bacelar-Nicolau H., Dias O., Sousa Ferreira A. (2005): Humanização dos Cuidados Paliativos: Análise Multivariada de um Questionário de Qualidade/Satisfação ao Apoio Domiciliário. In: Livro de Resumos das XII Jornadas de Classificação e Análise de Dados, JOCLAD 2005: 70-71. Doria I., Dias O., Sousa Ferreira A., Le Calvé G., Bacelar-Nicolau H. (2007): Comparison of methodologies of multivariate analysis in a palliative care context. In: Livro de resumos da XI Conferencia