2024-03-29T15:43:45Z
http://ijet.pl/index.php/ijet/oai
oai:ojs.ijet.ise.pw.edu.pl:article/1129
2019-10-21T18:07:30Z
ijet:ExpSys
Antyscam – practical web spam classifier
Luckner, Marcin
Gad, Michał
Sobkowiak, Paweł
Web Spam Detection, Spam Detection, Imbalanced Sets Classification, Automatic Classification, Machine Learning
To avoid of manipulating search engines results by web spam, anti spam system use machine learning techniques to detect spam. However, if the learning set for the system is out of date the quality of classification falls rapidly. We present the web spam recognition system that periodically refreshes the learning set to create an adequate classifier. A new classifier is trained exclusively on data collected during the last period. We have proved that such strategy is better than an incrementation of the learning set. The system solves the starting–up issues of lacks in learning set by minimisation of learning examples and utilization of external data sets. The system was tested on real data from the spam traps and common known web services: Quora, Reddit, and Stack Overflow. The test performed among ten months shows stability of the system and improvement of the results up to 60 percent at the end of the examined period.
Electronics and Telecommunications Committee
The Antyscam was developed in EU POIG.01.04.00-14- 031/11 project.
2019-10-07
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
http://ijet.pl/index.php/ijet/article/view/10.24425-ijet.2019.130255
International Journal of Electronics and Telecommunications; Vol 65, No 4 (2019); 713-722
2300-1933
eng
http://ijet.pl/index.php/ijet/article/view/10.24425-ijet.2019.130255/636
Copyright (c) 2019 International Journal of Electronics and Telecommunications
oai:ojs.ijet.ise.pw.edu.pl:article/121
2014-10-02T05:31:07Z
ijet:ExpSys
Statement Networks to Condition Monitoring of the Sealless Pump
Rzydzik, Sebastian
Amarowicz, Marcin
Psiuk, Krzysztof
Rogala, Tomasz
diagnostic model, statement network, multi-layer statement network, expert system
This paper shows an application of multi-layer statement networks to condition monitoring of the sealless magnetic drive pump. In this case, statement networks are computed based on the use of Bayesian probabilities. Moreover, the tool called REx which allows implementing such networks is described. An example of created four-layer network as well as final results of the performed tests shows also.
Electronics and Telecommunications Committee
Described herein are selected results of study, supported partly from the budget of Research Task No. 4 entitled “Development of integrated technologies to manufacture fuels and energy from biomass, agricultural waste and others” implemented under The Nat
2014-09-30
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
http://ijet.pl/index.php/ijet/article/view/10.2478-eletel-2014-0034
International Journal of Electronics and Telecommunications; Vol 60, No 3 (2014); 265-269
2300-1933
eng
http://ijet.pl/index.php/ijet/article/view/10.2478-eletel-2014-0034/44
oai:ojs.ijet.ise.pw.edu.pl:article/1079
2018-02-01T12:59:01Z
ijet:ExpSys
A verification technique for multiple soft fault diagnosis of linear analog circuits
Tadeusiewicz, Michał
Ossowski, Marek
analog circuits; fault diagnosis; linear circuits; multiple soft faults; verification technique
The paper deals with multiple soft fault diagnosis of linear analog circuits. A fault verification method is developed that allows estimating the values of a set of the parameters considered as potentially faulty. The method exploits the transmittance of the circuit and is based on a diagnostic test leading to output signal in discrete form. Applying Z-transform a diagnostic equation is written which is next reproduced. The obtained system of equations consisting of larger number of equations than the number of the parameters is solved using appropriate numerical approach. The method is adapted to real circumstances taking into account scattering of the fault–free parameters within their tolerance ranges and some errors produced by the method. In consequence, the results provided by the method have the form of ranges including the values of the tested parameters. To illustrate the method two examples of real electronic circuits are given.
Electronics and Telecommunications Committee
2018-01-31
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
application/pdf
http://ijet.pl/index.php/ijet/article/view/10.24425-118150
International Journal of Electronics and Telecommunications; Vol 64, No 1 (2018); 83-89
2300-1933
eng
http://ijet.pl/index.php/ijet/article/view/10.24425-118150/441
Copyright (c) 2018 International Journal of Electronics and Telecommunications