Showing 1-13 of 13 resultsfor "Authors":"Teodor Petrut"
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On the accuracy of the distance-averaging method for antenna gain measurements
Daniela Deacu;Razvan D. Tamas;Teodor Petrescu;Ion Candel;Teodor Petrut
2014 International Workshop on Antenna Technology: Small Antennas, Novel EM Structures and Materials, and Applications (iWAT)
Year: 2014 | Conference Paper |
Cited by: Papers (2)
We have previously proposed an indoor measuring technique for antenna gain, based on averaging a normalized transfer function over a distance range. Simulated and measured results have also been presented, in order to validate the method. In this paper, we assess the accuracy of our method by comparing the results to those issued from a traditional, non-anechoic approach, i.e., the time-gating met...Show More
This paper presents a synthesis approach based on a variable slope profile. The method is demonstrated by synthesizing an antenna with a quasi-constant gain over a given frequency range. The antenna configuration resulting from synthesis was simulated, manufactured and measured in order to validate our method.Show More
Advanced signal processing techniques for detection and localization of electrical arcs
Angela Digulescu;Teodor Petrut;Cindy Bernard;Ion Candel;Cornel Ioana;Alexandru Serbanescu
2014 10th International Conference on Communications (COMM)
Year: 2014 | Conference Paper |
Cited by: Papers (9)
This paper presents several methods applied for the detection and localization of electrical arcs measured while survelling photovoltaic power systems. Firstly, we proposed the use of energy detectors for transients (spectrogram and wavelet) and compared them with statistical methods (Maximum Likelihood Estimation (MLE)), classical signal processing methods (Matched Filter, Zero Crossing), but not...Show More
Distributed data classification in underwater acoustic sensors based on local time-frequency coherence analysis
Teodor Petrut;Cornel Ioana;Didier Mauuary;Julien Mallet;Olivier Phillipe
This paper introduces a stochastic approach that considers the distributed classification problem for a network of underwater acoustic sensors. The proposed classifier applies the third order polynomial regression to the instantaneous frequency extracted from time-frequency representation of different classes of signals and represent the polynomial's coefficients in a three-dimensional representat...Show More
Ultrasound testing of metallic structures using a dual symmetric path inspection and a matched filter-based method
Costin Vasile;Petrut Teodor-Ion;Cornel Ioana;Valentin Sgârciu;Jérôme Mars;Ion Candel
2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)
Year: 2013 | Conference Paper |
Cited by: Papers (1)
In this paper, we present a new technique for detecting and localising defects in metallic structures, using ultrasound non-destructive inspection. This technique consists in applying a dual path inspection and the matched filter to a stepped frequency-type signal. This new technique is compared with classical non-destructive testing approaches. An experimental setup is presented that allows us to...Show More
Multi-lag phase space representations for transient signals characterization
2014 22nd European Signal Processing Conference (EUSIPCO)
Year: 2014 | Conference Paper |
Transient signals are very difficult to characterize due to their short duration and their wide frequency content. Various methods such as spectrogram and wavelet decomposition have already been extensively used in the literature to detect them, but show limits when it comes to near similar transients discrimination. In this paper, we propose the multi-lag phase space analysis as a way to characte...Show More
A Framework for Analyzing GPU-Executed Malware
2021 23rd International Conference on Control Systems and Computer Science (CSCS)
Year: 2021 | Conference Paper |
Graphics processing units (GPU) are an integral part of today's computing environment. The marketing emphasis on user experience pushes vendors to constantly look for better graphics hardware and newer drivers to integrate into their products. Most commodity GPUs function as accelerators for image and video processing tasks and are present (either as dedicated or integrated form factor) in everyda...Show More
This paper proposes a novel Internet of Things (IoT) hardware framework for detecting and counting operations for fish biomass estimation. Based on a multi-static configuration, the core part of the system is using a single board computer with high capabilities in ADC and DAC and an analog multiplexer with a competitive switching rate.Show More
Electrical arc surveillance and localization system based on advanced signal processing techniques
Angela Digulescu;Mirel Paun;Costin Vasile;Teodor Petrut;Daniela Deacu;Cornel Ioana;Razvan Tamas
2014 IEEE International Energy Conference (ENERGYCON)
Year: 2014 | Conference Paper |
Cited by: Papers (12)
This paper presents two methods applied in the context of surveilling and localizing electrical arcs which usually occur in photovoltaic power systems. The wavelet analysis has proved to be very powerful in transient signal detection, namely in multiscale edge detection, thereby we use this method to detect the electrical arcs and to localize them in time. Secondly, we applied the recurrence plot ...Show More
Underwater object tracking using time frequency signatures of acoustic signals
Digulescu Angela;Candel Ion;Ioana Cornel;Bucur Diana;Petrut Teodor
Detecting underwater objects is an important application in marine applications. Most of the techniques are based on the amplitude related techniques, whereby the amplitude of the received echo is used to detect objects within specified bounds. Amplitude techniques however are prone to interference and attenuation, thus limiting the capabilities of such systems. Hence, the aim of this paper is to ...Show More
On the vortex parameter estimation using wide band signals in active acoustic system
Angela Digulescu;Teodor Petrut;Ion Candel;Florentina Bunea;Georgiana Dunca;Diana Bucur;Cornel Ioana;Alexandru Serbanescu
This paper proposes a new method for detection of the vortex presence in fluid flow based on an active acoustic system. The experiment that validates the theory was done on a reduced scale facility using ultrasonic transceivers. The main objective was to highlight the effect of a cavitation vortex on an applied wide band signal. In order to accomplish that, the Recurrence Plot Analysis (RPA) was i...Show More
On the distributed acoustic sensing based on local time-frequency coherence analysis
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2015 | Conference Paper |
This paper outlines novel approaches to design a new generation of distributed networks of acoustic sensors. The key-concept is marked by the use of time-frequency signal analysis tools directly embedded at the sensor node. The general framework for analysis at the acoustic sensor level is based on spectrogram which is very simple and easy to implement. The choice of the detection threshold in tim...Show More
Zernike ultrasonic tomography for fluid velocity imaging based on pipeline intrusive time-of-flight measurements
Nikola Besic;Gabriel Vasile;Andrei Anghel;Teodor-Ion Petrut;Cornel Ioana;Srdjan Stankovic;Alexandre Girard;Guy d'Urso
In this paper, we propose a novel ultrasonic tomography method for pipeline flow field imaging, based on the Zernike polynomial series. Having intrusive multipath time-offlight ultrasonic measurements (difference in flight time and speed of ultrasound) at the input, we provide at the output tomograms of the fluid velocity components (axial, radial, and orthoradial velocity). Principally, by repres...Show More
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