Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "noise detection" wg kryterium: Temat

  Lista filtrów
Wyrównaj
Wyświetlanie 1-15 z 24
Tytuł:
Initial assumptions for the system of automatic detection and classification of aircraft noise events
Autorzy:
Bukała, Michał
Nowoświat, Artur
Chyla, Andrzej
Powiązania:
https://bibliotekanauki.pl/articles/2202414.pdf
Data publikacji:
2022
Wydawca:
Politechnika Poznańska. Instytut Mechaniki Stosowanej
Tematy:
aircraft noise
noise monitoring
noise detection
hałas lotniczy
monitoring hałasu
wykrywanie hałasu
Opis:
The present study undertakes the development and implementation of an algorithm for an automatic separation of acoustic events related to aircraft flights. The data are provided by noise monitoring stations operating as part of multi-point continuous noise measurement systems around small and medium-sized airports and helicopter landing sites in Poland. The article presents initial assumptions of the developed method based on the conclusions of the research. For this purpose, two different methods of airborne noise signal detection will be discussed. The first method is based on the analysis of the value of the changing rate of the signal being the difference between the value of the analysed sample and the value of the h-th previous sample of the recorded sound level time history. The second method uses a convolutional neural network operating on values recorded in 1/3-octave bands. The objective of the study is to examine the effectiveness and limitations of the selected methods on the collected representative input data.
Źródło:
Vibrations in Physical Systems; 2022, 33, 2; art. no. 2022208
0860-6897
Pojawia się w:
Vibrations in Physical Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Zastosowanie transformacji falkowej do detekcji i usuwania szumów z danych rastrowych
Applications of wavelet transform in noise detection and removal from raster data
Autorzy:
Pyka, K.
Powiązania:
https://bibliotekanauki.pl/articles/130394.pdf
Data publikacji:
2007
Wydawca:
Stowarzyszenie Geodetów Polskich
Tematy:
transformacja falkowa
jakość radiometryczna
detekcja szumów
wavelets transform
radiometric quality
noise detection
Opis:
W pracy zaproponowano zastosowanie transformacji falkowej do wykrywania szumów zawartych w danych rastrowych a następnie do usuwania szumów losowych. Omówiono syntetycznie problem szumów występujących w obrazach cyfrowych oraz stosowane metody ich usuwania. Przedstawiono najważniejsze cechy transformacji falkowej. Jako materiał badawczy wykorzystano fragmenty zdjęć lotniczych i wysokorozdzielczych obrazów satelitarnych. Analizowano także dane pseudo-rastrowe, jakimi są wysokościowe modele terenu o strukturze regularnej siatki. Badania potwierdziły możliwość formułowania wskaźników zawartości szumów, opartych na analizie kształtu rozkładów współczynników detali falkowych. Stwierdzono, że badanie kształtu histogramów komponentów falkowych może być zastosowane do porównywania zmian radiometrycznych następujących podczas przetwarzania obrazów. W pracy przedstawiono koncepcje wykorzystania falek do redukowania zawartości szumów losowych. Na podstawie pierwszych eksperymentów badawczych sformułowano problemy cząstkowe, których rozwiązanie powinno zagwarantować wysoka skuteczność metody redukcji szumów w dziedzinie transformaty falkowej.
In the present paper, the use of wavelet transformation for determining noise type and reduction of random noise from raster data, is proposed. Noise in the digital images and applied methods for noise removal is described synthetically. The most important features of wavelet transformation are presented. The fragments of aerial photographs and high-resolution satellite images were used as a research material. Besides the images, the pseudo-raster data, such as the area digital terrain models (DTM) with the regular grid structure, were analysed. The research confirmed the possibility to define the noise content indicators based on the analysis of wavelet detail coefficients distribution shape. It was found that the study of histogram shape of the wavelet components can be employed for the comparison of the radiometric changes occurring during radiometric and geometric processing of the images. In the paper, the concept of using wavelets for the reduction of the random noise content is presented. On the grounds of the experiments in preliminary research, the partial problems were formulated. Finding the solution to them should guarantee the efficiency of noise reduction method in the wavelet transformation field.
Źródło:
Archiwum Fotogrametrii, Kartografii i Teledetekcji; 2007, 17b; 681-689
2083-2214
2391-9477
Pojawia się w:
Archiwum Fotogrametrii, Kartografii i Teledetekcji
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:
Impact of Edge Detection Algorithms in Medical Image Processing
Autorzy:
Anas, Ruba
Elhadi, Hadeel A.
Ali, Elmustafa Sayed
Powiązania:
https://bibliotekanauki.pl/articles/1075754.pdf
Data publikacji:
2019
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
Canny
Edge detection
Gaussian Noise
LOG
Laplacian
Prewitt
Salt & Pepper Noise
Opis:
Imaging technology in Medicine let the doctors to see the interior portions of the body for easy diagnosis. It also helped doctors to make keyhole surgeries for reaching the interior parts without really opening too much of the body. Noise in medical images appears in an image from a variety sources or it is the random variation of brightness or color information in images. Edge detection is a common process in the treatment of medical images and it is a very useful task for object recognition of human organs. Edge detection also show where shadows fall in an image or any other distinct change in the intensity of an image due to noise effects. In this paper we evaluated the performance of different edge detection algorithms; Canny, Prewitt, LOG, and Laplacian with and without adding filer such as wiener and median. The statement of effectiveness in removing noise and preserving important information in medical image is identified by using quality measurements like PSNR and MSE. Results show that the best algorithm for displaying edge and removing salt & pepper noise is the Prewitt Algorithm after using the median filter. Additionally, it was found that the best algorithm for displaying edge and removing Gaussian noise is the Canny algorithm after using the median filter.
Źródło:
World Scientific News; 2019, 118; 129-143
2392-2192
Pojawia się w:
World Scientific News
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Recognition of anhydrite intercalated salt deposit from seismic dataset distorted by noise
Autorzy:
Kawalec-Latała, E.
Powiązania:
https://bibliotekanauki.pl/articles/178911.pdf
Data publikacji:
2015
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
underground storage
acoustic impedance
salt deposit
inhomogeneity detection
noise
Opis:
Acoustic inversion is useful to extract information from seismic data. Inhomogeneities of salt deposits should be predicted before the decision of underground storage location is made. The work concerns the possibility of detecting anhydrite intercalation in the rock salt from seismic dataset. The resolution strongly depends on signal to noise ratio. The synthetic pseudoacoustic impedance sections are generated for efficiency test of predictive and minimum entropy deconvolution process, when random noise distorts the seismic traces.
Źródło:
Studia Geotechnica et Mechanica; 2015, 37, 3; 41-48
0137-6365
2083-831X
Pojawia się w:
Studia Geotechnica et Mechanica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Algorytmy przetwarzania widm Ramana podczas detekcji substancji chemicznych
Algorithms of Raman spectra processing during chemicals detection
Autorzy:
Kwiatkowski, A.
Powiązania:
https://bibliotekanauki.pl/articles/267815.pdf
Data publikacji:
2013
Wydawca:
Politechnika Gdańska. Wydział Elektrotechniki i Automatyki
Tematy:
spektroskopia Ramana
algorytmy detekcji
zakłócenia
Raman spectroscopy
detection algorithms
noise
Opis:
W pracy zostaną przedstawione algorytmy wstępnego przetwarzania widm mające na celu usuniecie lub zmniejszenie intensywności zakłóceń obecnych w rejestrowanych widmach Ramana, ze szczególnym uwzględnieniem automatyzacji tego procesu (bez konieczności wyboru parametrów przetwarzania przez obsługę urządzenia). Kolejna prezentowana grupę algorytmów stanowią procedury parametryzacji widm, które opisują widma w postaci zbioru kilku parametrów, np. pozycji linii widmowych, jej względnej amplitudy oraz szerokości. Parametry te są niezbędną informacja wejściową dla niektórych algorytmów detekcji. W pracy zostaną również zaprezentowane najpopularniejsze algorytmy korelacyjne oraz algorytmy porównujące położenie i amplitudę linii widmowych.
Detection of chemicals on the basis of their Raman spectra measurement consists in comparison recorded spectra for the tested chemical substances with model spectra stored in the master database. Detection algorithms indicate the substance of the database whose spectrum is the most similar, according to established criteria, to the recorded spectrum of the tested chemical. In the paper, there will be presented spectra preprocessing algorithms to eliminate or reduce the intensity of the noise present in the recorded Raman spectra, with particular emphasis on automation of this process (no need to select the parameters processed by the operation of the device). Another presented group of algorithms are spectra parameterization procedures that describe the spectrum as a set of several parameters, such as the position of the spectral lines, the relative amplitude and width. These parameters are necessary input information for some detection algorithms. The paper will also be presented to the most popular correlation algorithms.
Źródło:
Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej; 2013, 34; 39-42
1425-5766
2353-1290
Pojawia się w:
Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of Artificial Neural Networks for Defect Detection in Ceramic Materials
Autorzy:
Akinci, T. C.
Nogay, H. S.
Yilmaz, O.
Powiązania:
https://bibliotekanauki.pl/articles/176701.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
impulse noise
artificial neural network
ANN
defect detection
ceramic materials
Opis:
In this study, an artificial neural network application was performed to tell if 18 plates of the same material in different shapes and sizes were cracked or not. The cracks in the cracked plates were of different depth and sizes and were non-identical deformations. This ANN model was developed to detect whether the plates under test are cracked or not, when four plates have been selected randomly from among a total of 18 ones. The ANN model used in the study is a model uniquely tailored for this study, but it can be applied to all systems by changing the weight values and without changing the architecture of the model. The developed model was tested using experimental data conducted with 18 plates and the results obtained mainly correspond to this particular case. But the algorithm can be easily generalized for an arbitrary number of items.
Źródło:
Archives of Acoustics; 2012, 37, 3; 279-286
0137-5075
Pojawia się w:
Archives of Acoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Defect Detection in Ceramic Materials Based on Time-Frequency Analysis by Using the Method of Impulse Noise
Autorzy:
Akinci, T. C.
Powiązania:
https://bibliotekanauki.pl/articles/177471.pdf
Data publikacji:
2011
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
impulse noise
time-frequency analysis
defect detection in ceramic materials
Opis:
In this study, it was achieved by using the method of impulse noise to detect internal or surface cracks that can occur in the production of ceramic plates. Ceramic materials are often used in the industry, especially as kitchenware and in areas such as the construction sector. Many different methods are used in the quality assurance processes of ceramic materials. In this study, the impact noise method was examined. This method is a test technique that was not used in applications. The method is presented as an examination technique based on whether there is a deformation on the material according to the sound coming from it as a result of a plastic bit hammer impact on the ceramic material. The application of the study was performed on plates made of ceramic materials. Here, it was made with the same type of model plates manufactured from the same material. The noise that would occur as a result of the impact applied on a point determined on the materials to be tested has been examined by the method of time-frequency analysis. The method applied gives pretty good results for distinguishing ceramic plates in good condition from those which are cracked.
Źródło:
Archives of Acoustics; 2011, 36, 1; 77-85
0137-5075
Pojawia się w:
Archives of Acoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An acoustic sea glider for deep-sea noise profiling using an acoustic vector sensor
Autorzy:
Sun, Qindong
Zhou, Hongkun
Powiązania:
https://bibliotekanauki.pl/articles/32889290.pdf
Data publikacji:
2022
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
acoustic sea glider
acoustic vector sensor
ambient sea noise
target detection
Opis:
An acoustic sea glider has been developed for ambient sea noise measurement and target detection through the deployment of an acoustic vector sensor (AVS). The glider was designed with three cabins connected in sequence and it can dive to depths exceeding 1200m. The AVS fixed on the glider measure acoustic pressure and particle velocities related to undersea noise, and the inner attitude sensors can effectively eliminate the estimation deviation of the direction of arrival. The inherent self-noises of the acoustic sea glider and AVS are presented respectively in respect to the Knudsen spectra of sea noise. Sea trial results indicate that the AVS could work well for undersea noise measurement when the glider is smooth sliding, and the target azimuth estimated by AVS after correction is remarkably consistent with the values measured by the GPS, and direction-finding errors are less than 10 degrees. The research in this paper shows that the acoustic sea glider is able to undertake tasks such as a wide range of underwater acoustic measurement and detection.
Źródło:
Polish Maritime Research; 2022, 1; 57-62
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Measurements of low frequency noise of infrared photo-detectors with transimpedance detection system
Autorzy:
Ciura, Ł.
Kolek, A.
Gawron, W.
Kowalewski, A.
Stanaszek, D.
Powiązania:
https://bibliotekanauki.pl/articles/221094.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
1/f noise
infrared detectors
nBn structure
HgCdTe heterostructures
noise measurements
transimpedance detection system
type II InAs/GaSb superlattice
Opis:
The paper presents the method and results of low-frequency noise measurements of modern mid-wavelength infrared photodetectors. A type-II InAs/GaSb superlattice based detector with nBn barrier architecture is compared with a high operating temperature (HOT) heterojunction HgCdTe detector. All experiments were made in the range 1 Hz - 10 kHz at various temperatures by using a transimpedance detection system, which is examined in detail. The power spectral density of the nBn’s dark current noise includes Lorentzians with different time constants while the HgCdTe photodiode has more uniform 1/f - shaped spectra. For small bias, the low-frequency noise power spectra of both devices were found to scale linearly with bias voltage squared and were connected with the fluctuations of the leakage resistance. Leakage resistance noise defines the lower noise limit of a photodetector. Other dark current components give raise to the increase of low-frequency noise above this limit. For the same voltage biasing devices, the absolute noise power densities at 1 Hz in nBn are 1 to 2 orders of magnitude lower than in a MCT HgCdTe detector. In spite of this, low-frequency performance of the HgCdTe detector at ~ 230K is still better than that of InAs/GaSb superlattice nBn detector.
Źródło:
Metrology and Measurement Systems; 2014, 21, 3; 461-472
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Comparative Study of Various Edge Detection Techniques for Underwater Images
Autorzy:
Awalludin, Ezmahamrul Afreen
Arsad, Tengku Noorfarahana T.
Yussof, Wan Nural Jawahir Hj Wan
Bachok, Zainudin
Hitam, Muhammad Suzuri
Powiązania:
https://bibliotekanauki.pl/articles/2058499.pdf
Data publikacji:
2022
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
edge detection
mean square error
median filtering
peak signal to noise
wiener filtering
Opis:
Nowadays, underwater image identification is a challenging task for many researchers focusing on various ap plications, such as tracking fish species, monitoring coral reef species, and counting marine species. Because underwater im ages frequently suffer from distortion and light attenuation, pre-processing steps are required in order to enhance their quality. In this paper, we used multiple edge detection techniques to determine the edges of the underwater images. The pictures were pre-processed with the use of specific techniques, such as enhancement processing, Wiener filtering, median filtering and thresholding. Coral reef pictures were used as a dataset of underwater images to test the efficiency of each edge detection method used in the experiment. All coral reef image datasets were captured using an underwater GoPro camera. The performance of each edge detection technique was evaluated using mean square error (MSE) and peak signal to noise ratio (PSNR). The lowest MSE value and the highest PSNR value represent the best quality of underwater images. The results of the experiment showed that the Canny edge detection technique outperformed other approaches used in the course of the project.
Źródło:
Journal of Telecommunications and Information Technology; 2022, 1; 23--33
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Portable exhaled breath analyzer employing fluctuation-enhanced gas sensing method in resistive gas sensors
Autorzy:
Kwiatkowski, A.
Chludziński, T.
Smulko, J.
Powiązania:
https://bibliotekanauki.pl/articles/220591.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
resistance gas sensor
fluctuation enhanced sensing
flicker noise
gas detection
breath sample collection
Opis:
This paper presents a portable exhaled breath analyser, developed to detect selected diseases. The set-up employs resistive gas sensors: commercial MEMS sensors and prototype gas sensors made of WO3 gas sensing layers doped with various metal ingredients. The set-up can modulate the gas sensors by applying UV light to induce physical changes of the gas sensing layers. The sensors are placed in a tiny gas chamber of a volume of about 22 ml. Breath samples can be either injected or blown into the gas chamber when an additional pump is used to select the last breath phase. DC resistance and resistance fluctuations of selected sensors using separate channels are recorded by an external data acquisition board. Low-noise amplifiers with a selected gain were used together with a necessary bias circuit. The set-up monitors other atmospheric parameters interacting with the responses of resistive gas sensors (humidity, temperature, atmospheric pressure). The recorded data may be further analysed to determine optimal detection methods.
Źródło:
Metrology and Measurement Systems; 2018, 25, 3; 551-560
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Metody usuwania zakłóceń podczas pomiarów polowych widm Ramana
Methods for noise reduction in Raman spectra in field measurements
Autorzy:
Kwiatkowski, A.
Smulko, J.
Powiązania:
https://bibliotekanauki.pl/articles/158047.pdf
Data publikacji:
2013
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
spektroskopia Ramana
detekcja synchroniczna
szum biały
szum typu 1/f
Raman spectroscopy
synchronous detection
cosmic rays
white noise
1/f noise
Opis:
W pracy zostały scharakteryzowane źródła zakłóceń występujące podczas pomiarów widm Ramana w warunkach polowych oraz sposoby redukcji ich wpływu na jakość rejestrowanych widm. Zaprezentowano wpływ czasu integracji na jakość rejestrowanych widm w przypadkach, gdy szumy własne spektrometru mają składową typu 1/f, dominującą w zakresie małych częstotliwości. Przedstawiono także wyniki uzyskane podczas pomiarów z detekcją synchroniczną, stosowaną w przenośnych spektrometrach Ramana, w pomiarach przy silnym oświetleniu zewnętrznym.
Raman spectrometers are devices which allow immediate and contactless identification of the examined substances. Detection is possible without any sample preparation, even from a distance or via a transparent package, like glass or plastic vials. These features make the Raman spectra measurement technique popular. Therefore it requires continuous development to get better results. Chemicals detection is based on comparison of a registered Raman spectrum with the reference spectra stored in a database. The algorithm which compares the spectra indicates the substances (one or even a few) having the most similar (according to the applied criterion) spectrum to the Raman spectrum of the investigated chemical. The reference database is created in a laboratory by using precise Raman Spectrometers of high resolution and low noise level. Field measurements of the Raman spectra are usually made by a less accurate device and suffer from external interferences. Therefore an additional procedure for noise and interference dumping is necessary. The paper outlines the sources of noise and interference contaminating Raman spectra. The selected methods for their suppression are discussed. The advantage of synchronous detection measurements at ambient light is shown. Finally, the impact of the time integration on the spectra quality, when inherent noise of a spectrometer has a dominant 1/f component at low frequency range is described.
Źródło:
Pomiary Automatyka Kontrola; 2013, R. 59, nr 4, 4; 281-283
0032-4140
Pojawia się w:
Pomiary Automatyka Kontrola
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Algorytmy wykrywania substancji chemicznych na podstawie pomiarów widm Ramana
Algorithms of chemicals detection using Raman spectra
Autorzy:
Kwiatkowski, A.
Powiązania:
https://bibliotekanauki.pl/articles/157567.pdf
Data publikacji:
2010
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
algorytmy detekcji
zjawisko Ramana
spektroskopia Ramana
szumy
detection algorithms
Raman phenomena
Raman spectroscopy
noise
Opis:
Rejestracja widma promieniowania rozproszonego nieelastycznie podczas zjawiska Ramana, które jest charakterystyczne dla badanej substancji, pozwala na jej identyfikację. W pracy zostały przedstawione przykładowe widma Ramana substancji chemicznych. Następnie opisano błędy podczas pomiarów widm Ramana, powodujące ograniczenia możliwości identyfikacji substancji chemicznych lub ich mieszanin. Szczegółowo przedstawiono możliwości redukcji błędów pomiarowych przez zastosowanie procedur usuwania tła oraz wygładzania rejestrowanych widm we wstępnej fazie przetwarzania. W pracy następnie opisano wybrane algorytmy klasyfikacji, które umożliwiają wyznaczanie składu badanej mieszaniny na podstawie porównania jej widma Ramana z modelami stworzonymi na bazie widm wzorcowych. Ponadto oceniono efektywność wykrywania wybranych substancji chemicznych według przedstawionych metod oraz możliwości ich usprawnienia.
The Raman spectrometers are devices which allow immediate and accurate identification of the examined chemicals without a requirement of a direct contact. The devices are based on the Raman phenomenon, which takes place during illumination of the sample by a monochromatic radiation (e.g. 785 nm laser). Additional bands appear in the scattered spectrum due to the inelastic scattering of excitation monochromatic light on the molecules of the investigated probe. The number, shapes and locations of these bands in the Raman spectrum are unique for the investigated chemicals. Therefore, the irradiated probe can be identified. Raman spectrometers are used for rapid identification of unknown and potentially dangerous substances (e.g. drugs, explosives). The paper presents construction details of the portable Raman spectrometer being prepared at the Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology. The paper outlines necessary signal processing to assure reliable identification. First interferences encountered during Raman spectra measurements are presented. Secondly, methods of their reduction (background removal, spectra smoothing) are described. The selected algorithms for chemicals classification are outlined. They enable determination of their composition by comparing the measured Raman spectra with the models based on the prepared spectra library. Finally, efficiency of these algorithms is discussed and directions of their further development are outlined.
Źródło:
Pomiary Automatyka Kontrola; 2010, R. 56, nr 9, 9; 1081-1084
0032-4140
Pojawia się w:
Pomiary Automatyka Kontrola
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Crosstalk Noise Aware System For WDM-Based Optical Network on Chip
Autorzy:
Jedidi, Ahmed
Powiązania:
https://bibliotekanauki.pl/articles/225975.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
optical network on chip
wavelength division multiplexing
crosstalk noise
detection crosstalk
waveguide
optical router
Opis:
Network on chip (NoC) is presented as a promising solution to face off the growing up of the data exchange in the multiprocessor system-on-chip (MPSoC). However, the traditional NoC faces two main problems: the bandwidth and the energy consumption. To face off these problems, a new technology in MPSoC, namely, optical network-on-chip (ONoC) has been introduced which it uses the optical communication to guaranty a high performance in communication between cores. In addition, wavelength division multiplexing (WDM) is exploited in ONoC to reach a high rate of bandwidth. Nevertheless, the transparency nature of the ONoC components induce crosstalk noise to the optical signals, which it has a direct effect to the signal-to-noise ratio (SNR) then decrease the performance of the ONoC. In this paper, we proposed a new system to control these impairments in the network in order to detect and monitor crosstalk noise in WDM-based ONoC. Furthermore, the crosstalk monitoring system is a distributed hardware system designed and test with the different optical components according the various network topology used in ONoC. The register-transfer level (RTL) hardware design and implementation of this system can result in high reliability, scalability and efficiency with running time less than 20 ms.
Źródło:
International Journal of Electronics and Telecommunications; 2019, 65, 3; 497-505
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 24

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies