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Wyświetlanie 1-4 z 4
Tytuł:
Determining valuable ranges of handwritten signature using fuzzy approach and window method
Autorzy:
Kudłacik, P.
Doroz, R.
Powiązania:
https://bibliotekanauki.pl/articles/333527.pdf
Data publikacji:
2015
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
signature recognition
window method
fuzzy sets
rozpoznawanie podpisu
zbiory rozmyte
Opis:
The paper proposes possible improvements in signature recognition approach based on window method. The analysis focuses on a stage of window preprocessing using fuzzy sets in order to choose significant ranges of each signature. Proposed extension allows the solution to improve in two areas. First of all minimizing a number of processed windows significantly reduces computation time. Secondly, filtered signatures with valuable information about significant ranges allow the system to recognize signatures of a poor or good quality. Developed method of signature quality assessment can be used in any signature recognition system, regardless of used method of analysis. Merging the information about signature quality and choosing only important signature ranges should also improve the overall detection results, however, more examinations are needed to confirm this statement.
Źródło:
Journal of Medical Informatics & Technologies; 2015, 24; 23-30
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Performance evaluation of Baldwins fuzzy reasoning for large knowledge bases
Autorzy:
Kudłacik, P.
Powiązania:
https://bibliotekanauki.pl/articles/333000.pdf
Data publikacji:
2012
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
wnioskowanie rozmyte
systemy rozmyte
zbiory rozmyte
fuzzy reasoning
fuzzy systems
fuzzy sets
Opis:
The paper compares performance of Baldwin's fuzzy reasoning based on a fuzzy truth value with the fastest available solutions. The analysis is important in order to locate areas where improvement of the first is the most significant. Potential fast approach based on the fuzzy truth value would be very interesting for many users applying fuzzy systems to solve problems involved with complex knowledge bases. Particularly, all research considering an analysis of genes employing DNA microarrays. Such methods very often generate rules with thousands of atomic premises. The most valuable advantage of Baldwin's reasoning is preserving a fuzzy relation between a fact and a premise in the inference process, where other solutions, especially those commonly used, usually reduce it to only one value. Obtaining the method which, from computation time point of view, is comparable with common approaches but offers more advanced process of fuzzy reasoning, would be a significant achievement. The goal of this analysis is to prepare the future research considering development of Baldwin's method, which computational complexity is comparable to simple, fast and widely used solutions like systems based on the approach of Mamdani and Assilan or Larsen.
Źródło:
Journal of Medical Informatics & Technologies; 2012, 20; 29-38
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fuzzy SQL queries in standard SQL database
Autorzy:
Kudłacik, P.
Powiązania:
https://bibliotekanauki.pl/articles/333473.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
fuzzy SQL
fuzzy database
fuzzy sets
SQL
rozmyte bazy danych
zbiory rozmyte
Opis:
Uncertain queries are very common in many areas of human activity. The problem can be seen particularly in medicine, where expressions like ”very high”, ”low”, ”normal” are commonly used in order to describe different information. However, the most popular data repositories do not allow to form imprecise queries in order to filter information. Therefore, the paper proposes an extension to the standard SQL language allowing anybody to profit from fuzzy database using any SQL engine. The existing approaches employ different mechanisms in order to allow the user to perform fuzzy queries on a database. The most complex solutions modify the database engine itself. However, such approach is strongly bound to the modified server version and must be updated with any development of the original server. Nevertheless, there is possible to store fuzzy information using for instance columns of regular relational database. Therefore, this approach proposes extensions to the query language allowing to use fuzzy information in a query and provides a parser transforming a fuzzy query into a standard SQL. Thus, the database server version is irrelevant. The solution is provided as a module written in multi-platform Java language using popular JDBC database connection.
Źródło:
Journal of Medical Informatics & Technologies; 2016, 25; 28-37
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Improving a signature recognition method using the fuzzy approach
Autorzy:
Kudłacik, P.
Powiązania:
https://bibliotekanauki.pl/articles/333674.pdf
Data publikacji:
2012
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
rozpoznawanie podpisu
systemy rozmyte
zbiory rozmyte
signature recognition
fuzzy systems
fuzzy sets
Opis:
The paper introduces a significant improvement of the signature recognition method based on characteristic preprocessing of an input data. The original approach transforms an input data into a sorted set of points obtained from intersections of a signature with generated lines going through it's center point. For further analysis the discrete Walsh transform was used. The solution presented in this paper divides points obtained in the preprocessing phase into groups. This step allows the method to preserve more unique features, which positively reflects on the results. Preprocessed data is used to build a fuzzy structure called the fuzzy signature. The method considering a natural imprecision makes the verification system flexible.
Źródło:
Journal of Medical Informatics & Technologies; 2012, 21; 85-93
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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