Autor: Bilski, P. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Implementation and Analysis of Elliptic Curves-Based Cryptographic Algorithms in the Integrated Programming Environment
Autorzy:: Lukaszewski, R.
Sobieszek, M.
Bilski, P.
Powiązania:: https://bibliotekanauki.pl/articles/963936.pdf
Data publikacji:: 2011
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: cryptography
distributed measurement systems
integrated programming environments
Opis:: The paper presents the implementation of the Elliptic Curves Cryptography (ECC) algorithms to ensure security in the distributed measurement system. The algorithms were deployed in the LabWindows/CVI environment and are a part of its cryptographic library. Their functionality is identical with the OpenSSL package. The effectiveness of implemented algorithms is presented with the comparison of the ECDSA against the DSA systems. The paper is concluded with future prospects of the implemented library.
Źródło:: International Journal of Electronics and Telecommunications; 2011, 57, 3; 257-262
2300-1933
Pojawia się w:: International Journal of Electronics and Telecommunications
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Detection of Wood Boring Insects’ Larvae Based on the Acoustic Signal Analysis and the Artificial Intelligence Algorithm
Autorzy:: Bilski, P.
Bobiński, P.
Krajewski, A.
Witomski, P.
Powiązania:: https://bibliotekanauki.pl/articles/177879.pdf
Data publikacji:: 2017
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: wood boring insects identification
artificial intelligence classification
accelerometer
Opis:: The paper presents an application of signal processing and computational intelligence methods to detect presence of the wood boring insects larvae in the wooden constructions (such as the furniture of buildings). Such insects are one of the main sources of the degradation in such objects, therefore they should be detected as quickly as possible, before inflicting serious damage. The presented work involved the acoustic monitoring for detecting the presence of the larvae inside pieces of wood. An accelerometer was used to record the sound, further analyzed by a computer algorithm extracting features important for artificial-intelligence (AI) based classification employed to detect the old house borer’s (Hylotrupes bajulus L.) activity. The presented task is difficult, as the sounds made by the larvae are of relatively low amplitude and the background noise caused by people, electrical appliances or other sources may significantly degrade the accuracy of detection. The classification of sounds is needed to separate sources of noise which deteriorate the proper larva detection and should be suppressed if possible. The employed classification was based on features defined in the time domain followed by the support vector machine used as the binary classifier. The results allowed us to assess the effectiveness of the old house borer’s detection by the acoustic analysis enhanced with the AI algorithm.
Źródło:: Archives of Acoustics; 2017, 42, 1; 61-70
0137-5075
Pojawia się w:: Archives of Acoustics
Dostawca treści:: Biblioteka Nauki

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