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Wyszukujesz frazę "discrete data" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Statement and Solution of Multicriteria Tasks of Database Modular Block-Schemes Development
Autorzy:
Wojcik, Waldemar
Kalizhanova, Aliya
Akhmetov, Sultan
Nabiyeva, Gulnaz
Kozbakova, Ainur
Powiązania:
https://bibliotekanauki.pl/articles/226861.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
models
methods
discrete programming
data processing system
multicriterial problem
Opis:
The paper considers developed and offered an effective algorithm for solving the block-symmetrical tasks of polynomial computational complexity of data processing modular block-schemes designing. Currently, there are a large number of technologies and tools that allow you to create information systems of any class and purpose. To solve the problems of designing effective information systems, various models and methods are used, in particular, mathematical discrete programming methods. At the same time, it is known that such tasks have exponential computational complexity and can not always be used to solve practical problems. In this regard, there is a need to develop models and methods of the new class, which provide the solution of applied problems of discrete programming, aimed at solving problems of large dimensions. The work has developed and proposed block-symmetric models and methods as a new class of discrete programming problems that allow us to set and solve applied problems from various spheres of human activity. The issues of using the developed models are considered. and methods for computer-aided design of information systems (IS).
Źródło:
International Journal of Electronics and Telecommunications; 2020, 66, 1; 237-242
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fall Detector Using Discrete Wavelet Decomposition And SVM Classifier
Autorzy:
Wójtowicz, B.
Dobrowolski, A.
Tomczykiewicz, K.
Powiązania:
https://bibliotekanauki.pl/articles/220495.pdf
Data publikacji:
2015
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
fall detection
discrete wavelet transform
data fusion
support vector machine (SVM)
Opis:
This paper presents the design process and the results of a novel fall detector designed and constructed at the Faculty of Electronics, Military University of Technology. High sensitivity and low false alarm rates were achieved by using four independent sensors of varying physical quantities and sophisticated methods of signal processing and data mining. The manuscript discusses the study background, hardware development, alternative algorithms used for the sensor data processing and fusion for identification of the most efficient solution and the final results from testing the Android application on smartphone. The test was performed in four 6-h sessions (two sessions with female participants at the age of 28 years, one session with male participants aged 28 years and one involving a man at the age of 49 years) and showed correct detection of all 40 simulated falls with only three false alarms. Our results confirmed the sensitivity of the proposed algorithm to be 100% with a nominal false alarm rate (one false alarm per 8 h).
Źródło:
Metrology and Measurement Systems; 2015, 22, 2; 303-314
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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