Wyniki wyszukiwania - BazTech

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Integration of image-based fog detection with autonomous decision system for Intelligent Road Sign

Chmiel Wojciech, Derkacz Jan, Dziech Andrzej, Gozdecki Janusz, Jędrusik Stanisław, Kadłuczka Piotr, Kwiecień Joanna, Mikrut Zbigniew, Rogus Grzegorz

Journal of KONBiN

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2021

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Vol. 51, iss. 3

19--36

EN

The paper presents the description of the decision system implemented for Intelligent Road Signs. It focuses on the implementation of the novel air transparency analysis system and its integration with the rule system and the speed control infrastructure. Moreover, there are presented issues of making decisions about the content displayed in the case of autonomous and cooperating signs. To reflect more closely on real-life situations, it is assumed that the content presented by the IRS changes dynamically, depending on the road traffic and weather parameters. The IRS system operation was presented using fog detection as an example.

PL

W pracy przedstawiono oryginalny system analizy przejrzystości powietrza i metodę jego integracji z systemem regułowym inteligentnego znaku drogowego (IRS). Elementem decydującym o działaniu autonomicznego znaku oraz kooperacji grupy znaków jest zbiór reguł decyzyjnych określających treść wyświetlanych komunikatów. Dynamika rzeczywistej sytuacji drogowej wymusza zmienność treści prezentowanej przez IRS, w zależności od aktualnych parametrów ruchu drogowego lub warunków pogodowych. Działanie systemu IRS zostało zaprezentowane na przykładzie dotyczącym detekcji mgły.

2

A three-level aggregation model for evaluating software usability by fuzzy logic

Rakovská Eva, Hudec Miroslav

International Journal of Applied Mathematics and Computer Science

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2019

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Vol. 29, no. 3

489--501

EN

Rapid deployment of IT brings about new issues with software usability measurement. Usability is based on users’ experience and is strongly subjective, having a qualitative character. The users’ comfort is usually collected by surveys in their daily work. The present article stems from an experimental study related to the evaluation of the usability of tools by a rule-based system. The work suggests a robust computational model that will be able to avoid the main problems arising from the experimental study (a large and less-legible rule base) and to deal with the vagueness of IT user experience, different levels of skills and various numbers of filled questionnaires in different departments. The computational model is based on three hierarchical levels of aggregation supported by fuzzy logic. Choices for the most suitable aggregation functions in each level are advocated and illustrated with examples. The number of questions and granularity of answers in this approach can be adjusted to each user group, which could reduce the response burden and errors. Finally, the paper briefly describes further possibilities of the suggested approach.

3

The HeKatE methodology. Hybrid engineering of intelligent systems

Nalepa G. J., Ligęza A.

International Journal of Applied Mathematics and Computer Science

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2010

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Vol. 20, no 1

35-53

EN

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-XTT2-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.

4

Formalizacja kroków dla czynności utworzenia modeli typów z metodyki Cheesmana-Danielsa na potrzeby systemu regułowego

Gratkowski T.

Pomiary Automatyka Kontrola

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2006

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R. 52, nr 6

36-37

PL

W artykule przedstawiono wykorzystanie języka deklaracyjnego w celu formalizacji kroków wykonywanych w ramach czynności utworzenia modeli typów z metodyki Cheesmana-Danielsa. Zastosowanie języka deklaracyjnego umożliwiło wykorzystanie opracowanych formalizmów w procesie budowania regułowego modelu wiedzy. Opracowane reguły zostaną wykorzystane na potrzeby projektowanego systemu regułowego wspierającego analityka systemowego w procesie projektowania systemu informatycznego. Ocena jakości modeli generowanych przez system regułowy, zostanie zweryfikowana poprzez pomiar i analizę otrzymanych wyników przy użyciu miar oprogramowania.

EN

Declarative programming can be used as a language for formalizing steps in 'develop type model' activity used in Cheesman-Daniels methodology. Developed formalism enables to use described rules for steps and can be used in constructing rule-base knowledge model. Described rules will be use in a rule-base system which will support a designer in process of designing the application. Quality control generated model by a rule-base system, will be verified through measurements and analysis received results apply a software metrics.