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Wyszukujesz frazę "system analysis" wg kryterium: Temat


Wyświetlanie 1-6 z 6
Tytuł:
Intelligent System in the Context of Business Process Modelling
Autorzy:
Yaremko, Svetlana A.
Kuzmina, Elena M.
Savina, Nataliia B.
Gromaszek, Konrad
Yeraliyeva, Bakhyt
Borankulova, Gauhar
Powiązania:
https://bibliotekanauki.pl/articles/1844622.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
business process
automation
simulation modelling
intelligent system
expert system
intelligence analysis
forecasting
Opis:
The article deals with the features and characteristics of intelligent systems for modelling business processes. Their classification was made and criteria for comparison were developed. According to the comparative analysis of existing expert systems for intelligent analysis, a reasonable choice of system for modelling business processes of a particular enterprise has been carried out. In general, it was found that the introduction of intelligent systems for modelling business processes of the enterprise and forecasting its activities for future allows management of the company to obtain relevant and necessary information for the adoption of effective management decisions and the development of a strategic plan.
Źródło:
International Journal of Electronics and Telecommunications; 2021, 67, 2; 163-168
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Construction of an Expert System Based on Fuzzy Logic for Diagnosis of Analog Electronic Circuits
Autorzy:
Grzechca, D. E.
Powiązania:
https://bibliotekanauki.pl/articles/226616.pdf
Data publikacji:
2015
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
analog circuits fault diagnosis
analog system testing
fuzzy set theory
expert system
sensitivity analysis
Opis:
The paper presents construction of the fuzzy logic system to analog circuits parametric fault diagnosis. The classical dictionary construction is replaced by fuzzy rule system. The first part refers to analog fault diagnosis, its techniques, approaches and goals. It clarifies common strategy and define differences between detecting, locating and identifying a fault in analog electronic circuit. The second part is focused on a creation of fuzzy rule expert system with use of sensitivity functions and known circuit topology. To detect, locate and identify a faulty element in a circuit the sensitivity matrix is used. The advantage of the method is its utilization in all, AC, DC and time domain. The fuzzy system, like the classical fault dictionary, can detect and locate single catastrophic faults and, on the contrary to the classical one, it also detects and locates parametric faults. Moreover, it allows identification of these faults, such that sign of the faulty parameter deviation is designated. The method has deterministic character as well as it can be applied on the verification and production stage.
Źródło:
International Journal of Electronics and Telecommunications; 2015, 61, 1; 77-82
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Development of QoS Methods in the Information Networks with Fractal Traffic
Autorzy:
Daradkeh, Y. I.
Kirichenko, L.
Radivilova, T.
Powiązania:
https://bibliotekanauki.pl/articles/227166.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
communication system traffic
fractals
quality of service
queueing analysis
routing
Opis:
The paper discusses actual task of ensuring the quality of services in information networks with fractal traffic. The generalized approach to traffic management and quality of service based on the account of multifractal properties of the network traffic is proposed. To describe the multifractal traffic properties, it is proposed to use the Hurst exponent, the range of generalized Hurst exponent and coefficient of variation. Methods of preventing of network overload in communication node, routing cost calculation and load balancing, which based on fractal properties of traffic are presented. The results of simulation have shown that the joint use of the proposed methods can significantly improve the quality of service network.
Źródło:
International Journal of Electronics and Telecommunications; 2018, 64, 1; 27-32
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Low Power and High Performance Hardware Design for Automatic Epilepsy Seizure Detection
Autorzy:
Rafiammal, S. Syed
Najumnissa, D.
Anuradha, G.
Mohideen, S. Kaja
Jawahar, P. K.
Mutalib, Syed Abdul
Powiązania:
https://bibliotekanauki.pl/articles/963923.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
epilepsy detection
system on chip
implementation
Quadrature Linear Discriminant Analysis
hardware design
seizure detection
Opis:
An application specific integrated design using Quadrature Linear Discriminant Analysis is proposed for automatic detection of normal and epilepsy seizure signals from EEG recordings in epilepsy patients. Five statistical parameters are extracted to form the feature vector for training of the classifier. The statistical parameters are Standardised Moment, Co-efficient of Variance, Range, Root Mean Square Value and Energy. The Intellectual Property Core performs the process of filtering, segmentation, extraction of statistical features and classification of epilepsy seizure and normal signals. The design is implemented in Zynq 7000 Zc706 SoC with average accuracy of 99%, Specificity of 100%, F1 score of 0.99, Sensitivity of 98% and Precision of 100 % with error rate of 0.0013/hr., which is approximately zero false detection.
Źródło:
International Journal of Electronics and Telecommunications; 2019, 65, 4; 707-712
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Noise Detection for Biosignals Using an Orthogonal Wavelet Packet Tree Denoising Algorithm
Autorzy:
Schimmack, M.
Mercorelli, P.
Powiązania:
https://bibliotekanauki.pl/articles/226940.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
noise detection
wavelet packet transform
wavelet analysis
Daubechies wavelet
linux-based embedded system
ARM processor platform
Opis:
This article deals with the noise detection of discrete biosignals using an orthogonal wavelet packet. In specific, it compares the usefulness of Daubechies wavelets with different vanishing moments for the denoising and compression of the digitalised biosignals in case of surface electromyography (sEMG) signals. The work is based upon the discrete wavelet transform (DWT) version of wavelet package transform (WPT). A noise reducing algorithm is proposed to detect unavoidable noise in the acquired data in a model independent way. The noise of a signal sequence will be defined by a seminorm. This method was developed for a possible observation during a fracture healing period. The proposed method is general for signal processing and its design was based upon the wavelet packet.
Źródło:
International Journal of Electronics and Telecommunications; 2016, 62, 1; 15-21
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Determination of Input Parameters of the Neural Network Model, Intended for Phoneme Recognition of a Voice Signal in the Systems of Distance Learning
Autorzy:
Akhmetov, B.
Tereykovsky, I.
Doszhanova, A.
Tereykovskaya, L.
Powiązania:
https://bibliotekanauki.pl/articles/226378.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
neural networks
phonemes
recognition of a voice signal
system of distance learning
mel-cepstral coefficients
spectral analysis
Opis:
The article is devoted to the problem of voice signals recognition means introduction in the system of distance learning. The results of the conducted research determine the prospects of neural network means of phoneme recognition. It is also shown that the main difficulties of creation of the neural network model, intended for recognition of phonemes in the system of distance learning, are connected with the uncertain duration of a phoneme-like element. Due to this reason for recognition of phonemes, it is impossible to use the most effective type of neural network model on the basis of a multilayered perceptron, at which the number of input parameters is a fixed value. To mitigate this shortcoming, the procedure, allowing to transform the non-stationary digitized voice signal to the fixed quantity of mel-cepstral coefficients, which are the basis for calculation of input parameters of the neural network model, is developed. In contrast to the known ones, the possibility of linear scaling of phoneme-like elements is available in the procedure. The number of computer experiments confirmed expediency of the fact that the use of the offered coding procedure of input parameters provides the acceptable accuracy of neural network recognition of phonemes under near-natural conditions of the distance learning system. Moreover, the prospects of further research in the field of development of neural network means of phoneme recognition of a voice signal in the system of distance learning is connected with an increase in admissible noise level. Besides, the adaptation of the offered procedure to various natural languages, as well as to other applied tasks, for instance, a problem of biometric authentication in the banking sector, is also of great interest.
Źródło:
International Journal of Electronics and Telecommunications; 2018, 64, 4; 425-432
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-6 z 6

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