Wyniki wyszukiwania - BazTech

1

Yellowfin tuna (Thunnusalbacares) fishing ground forecasting model based on bayes classifier in the South China Sea

Zhou W., Li A., Ji S., Qiu Y.

Polish Maritime Research

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2017

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S 2

140--146

EN

Using the yellowfin tuna (Thunnusalbacares,YFT)longline fishing catch data in the open South China Sea (SCS) provided by WCPFC, the optimum interpolation sea surface temperature (OISST) from CPC/NOAA and multi-satellites altimetric monthly averaged product sea surface height (SSH) released by CNES, eight alternative options based on Bayes classifier were made in this paper according to different strategies on the choice of environment factors and the levels of fishing zones to classify the YFT fishing ground in the open SCS. The classification results were compared with the actual ones for validation and analyzed to know how different plans impact on classification results and precision. The results of validation showed that the precision of the eight options were 71.4%, 75%, 70.8%, 74.4%, 66.7%, 68.5%, 57.7% and 63.7% in sequence, the first to sixth among them above 65% would meet the practical application needs basically. The alternatives which use SST and SSH simultaneously as the environmental factors have higher precision than which only use single SST environmental factor, and the consideration of adding SSH can improve the model precision to a certain extent. The options which use CPUE’s mean ± standard deviation as threshold have higher precision than which use CPUE’s 33.3%-quantile and 66.7%-quantile as the threshold

2

Diagnostics of separately excited DC motor based on analysis and recognition of signals using FFT and Bayes classifier

Glowacz W., Glowacz Z.

Archives of Electrical Engineering

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2015

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Vol. 64, nr 1

29--35

EN

In this article results of diagnostic investigations of separately excited DC motor were presented. In diagnostics were applied a Fourier analysis method based on the fast Fourier transform (FFT) and a recognition method using Bayes classifier. In training process a set of the most important frequencies has been determined for which differences of corresponding signals in two states are the largest. Three categories of signals have been recognized in identification process: faultless state, state of the rotor broken one coil and state of the rotor shorted three coils

3

Diagnostyka silnika obcowzbudnego prądu stałego oparta na analizie i rozpoznawaniu sygnałów z zastosowaniem FFT i klasyfikatora Bayesa

Głowacz W., Głowacz Z.

Maszyny Elektryczne : zeszyty problemowe

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2014

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Nr 3(103)

67--70

PL

W pracy przedstawiono wyniki badań diagnostycznych silnika obcowzbudnego prądu stałego. Zastosowano w diagnostyce metodę analizy opartą na szybkiej transformacie Fouriera (FFT) i metodę rozpoznawania wykorzystującą klasyfikator Bayesa. W procesie uczenia wyznaczano zbiór najistotniejszych częstotliwości, dla których różnice odpowiadających sygnałów w dwóch stanach silnika są największe. W procesie identyfikacji rozpoznawano trzy kategorie sygnałów: stan bez uszkodzenia, stan przerwy zezwojów wirnika i stan zwarcia zezwojów wirnika.

EN

In the work results of diagnostic investigations of separately excited dc motor were presented. In diagnostics were applied a Fourier analysis method basing on fast Fourier transform (FFT) and a recognition method using Bayes classifier. In training process a set of the most important frequencies has been determined for which differences of corresponding signals in two states are the largest. Three categories of signals have been recognized in identification process: faultless state, state of breaking the rotor coils and state of shorting the rotor coils.

4

Propozycja mieszanego przetwarzania półstrukturalnego modelu opisu zdarzeń z akcji ratowniczo-gaśniczych Państwowej Straży Pożarnej PSP3

Mirończuk M., Maciak T.

Bezpieczeństwo i Technika Pożarnicza

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2013

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Nr 1

95-106

PL

W opracowaniu przedstawiono aktualnie rozwijane reprezentacje wiedzy i sposoby opisów zdarzeń, dla systemu wnioskowania na podstawie przypadków zdarzeń służb ratowniczych Państwowej Straży Pożarnej PSP. W artykule zaproponowano sposób ich przetwarzania. Przedstawiony sposób bazuje na klasyfikacji i wyszukiwaniu opisów zdarzeń.

EN

This paper describes a review of actual developed knowledge representation and case representation for fire services cases based reasoning system. The article also describes a method of processing the cases of events. This processing method based on classification and information retrieval.

5

Tracking of 3D objects in a vision based travel aid system for the blind

Pełczyński P.

Image Processing & Communications

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2009

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Vol. 14, no 2-3

13-21

EN

The aim of the presented work is the development of a natural scene visual analysis system for a travel assistance tool for the visually impaired. The purpose of such a system is the creation of a simplified scene description, suitable for auditory presentation. System under development is intended to aid a blind user in avoiding obstacles in a typical urban environment. A Bayesian classifier is utilised for object detection and tracking in a stereoscopic image sequence captured from a pair of head mounted cameras. The obtained results show the method's potential to track objects with complicated shapes solely on the basis of their visual features. Scene depth, represented in the classifier by the image disparity, plays an essential role in identifying objects in textured image areas. Lack of a texture does not allow for reliable disparity estimation, lowering classification performance. The author combines colour, disparity and pixel coordinates to produce a feature vector for an image classifier. The proposed classifier update technique allows for object tracking in an image sequence of a dynamic scene.