Searched for: subject%3A%22source%255C%2Blocalization%22
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van Rooijen, Thom (author)
Various source localization algorithms exist to perform localization with High Density (HD)-ElectroEncephaloGraphy (EEG). However, validation of these EEG source localization algorithms is lacking. The current gold standard for source localization in the brain is functional Magnetic Resonance Imaging (fMRI) by calculating the difference in...
master thesis 2023
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Erwich, Hajo (author)
Gas Source Localization (GSL) is a challenging field of research within the robotics community. Existing methods vary widely and each has its own strengths and weaknesses. Existing GSL evaluations vary in environment size, wind conditions, and gas simulation fidelity, thereby complicating objective comparison between algorithms. They also lack...
master thesis 2023
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Tian, Yuan (author)
Bird observation, as one of the most popular nature exploration activities in Europe, has a large user group, a profitable market and contributes positively to the environment. Optical devices are almost a necessity for bird observation since they provide a magnified view with vivid details at a far distance. <br/>Leica, a premium product...
master thesis 2023
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Zhang, F. (author), Yang, Y. (author), Hendriks, M.A.N. (author)
To assess the structural capacity of reinforced concrete structures, identifying the internal cracks is important. Acoustic emission (AE) is promising to estimate the location of internal cracks. However, the localization is influenced by many factors like arrival time picking error, presence of crack, etc., resulting in localization error. The...
journal article 2023
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Zhou, Y. (author), Liang, M. (author), Yue, X. (author)
Large errors can be introduced in traditional acoustic emission (AE) source localization methods using extracted signal features such as arrival time difference. This issue is obvious in the case of irregular structural geometries, complex composite structure types or presence of cracks in wave travel paths. In this study, based on a novel...
journal article 2023
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Zhang, F. (author), Yang, Y. (author), Hendriks, M.A.N. (author)
Monitoring or identifying structural cracks is crucial for assessing the health of existing concrete structures. Key information about structural cracking encompasses the location of the crack and its kinematics, which include movements perpendicular and parallel to the crack face. Acoustic emission (AE) is a sensitive technique for detecting...
journal article 2023
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van der Horst, Casper (author)
For my Master’s thesis, I developed and trained an audio-based localization system for indoor localization called AudioLocNet. AudioLocNet is based on convolutional neural networks and maps recordings from a small(10cm diameter) microphone array to a grid of locations around said array. AudioLocNet was made to be used by swarms of small robots...
master thesis 2022
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Foorthuis, Lodewijck (author)
master thesis 2022
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Zhang, F. (author), Yang, Y. (author), Naaktgeboren, N.M. (author), Hendriks, M.A.N. (author)
This paper proposes a new damage identification method, namely, the probability density field of acoustic emission (AE) events. This new method provides a different perspective to deal with the uncertainties in the source localization process. We treat the source location as a random variable, and estimate its probability density field based...
journal article 2022
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van den Berg, Boudewijn (author), Manoochehri, M. (author), Schouten, A.C. (author), van der Helm, F.C.T. (author), Buitenweg, Jan R. (author)
Recent studies have established the presence of nociceptive steady-state evoked potentials (SSEPs), generated in response to thermal or intra-epidermal electric stimuli. This study explores cortical sources and generation mechanisms of nociceptive SSEPs in response to intra-epidermal electric stimuli. Our method was to stimulate healthy...
journal article 2022
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Amoiridis, O. (author), Zarri, A. (author), Zamponi, R. (author), Pasco, Y. (author), Yakhina, G. (author), Christophe, J. (author), Moreau, S. (author), Schram, C. (author)
Sound emissions of an automotive engine cooling system are studied using both single-microphone directivity measurements and a rotating beamforming technique. These measurements provide reference acoustic data on such a system and some new understanding of the effect that the radiator induces on the distribution of sound sources. Indeed, the...
journal article 2022
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van der Cruijsen, J. (author), Dooren, R.F. (author), Schouten, A.C. (author), Oostendorp, Thom F. (author), Frens, Maarten A. (author), Ribbers, G.M. (author), van der Helm, F.C.T. (author), Kwakkel, Gert (author), Selles, R.W. (author)
Transcranial direct current stimulation (tDCS) is a promising tool to improve and speed up motor rehabilitation after stroke, but inconsistent clinical effects refrain tDCS from clinical implementation. Therefore, this study aimed to assess the need for individualized tDCS configurations in stroke, considering interindividual variability in...
journal article 2022
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Sathyapriyan, V. (author)
For people with hearing impairment, it is important to have good speech intelligibility, while also being able to localise the sound sources. Many beam-forming algorithms for hearing aids have been proposed, that minimise the noise, in combination with spatial scene preservation of the target and the interferers. By constraining the spatial cues...
master thesis 2020
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Karittevlis, Christodoulos (author)
Background: When two acoustic sinusoids of slightly different frequencies are presented in the same ear, the listener perceives a beating sound with a rate the difference frequency between the two sinusoids. In the dichotic presentation of two acoustic sinusoids with slightly different frequencies, separately at the two ears, the listener...
master thesis 2020
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Vardalakis, Nikolaos (author)
Electroencephalography (EEG) source localization has been applied in the development of braincomputer interfaces to control hand prostheses. When performing fine movements, our brain uses sensory feedback regarding position, velocity, and force to improve performance. Understanding the cortical mechanisms underlying individual finger movements...
master thesis 2020
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Zhang, F. (author), Pahlavan, Lotfollah (author), Yang, Y. (author)
Acoustic emission source localization is a promising monitoring technique for concrete structures. However, the accuracy of acoustic emission source localization is influenced by many factors, such as the presence of cracks, which are commonly observed in existing reinforced concrete structures. In this article, the acoustic emission source...
journal article 2020
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Zhang, F. (author), Yang, Y. (author)
Acoustic Emission (AE) monitoring is one of the possibilities to detect the crack distribution inexisting concrete structures. However, the conventional method requires further destruction likeopening of new cracks or propagation of the existing cracks. In this paper, a new strategy ofusing local cumulative AE activities during unloading to...
conference paper 2019
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Drioli, Carlo (author), Giordano, G. (author), Salvati, Daniele (author), Blanchini, Franco (author), Foresti, Gian Luca (author)
This paper discusses the problem of tracking a moving target by means of a cluster of mobile agents that is able to sense the acoustic emissions of the target, with the aim of improving the target localization and tracking performance with respect to conventional fixed-array acoustic localization. We handle the acoustic part of the problem by...
journal article 2019
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Lynn, Raissa (author)
Estimating a room geometry using multiple microphones rises an echoes labeling problem. Two recent methods called the graph-based and the subspace-greedy methods have shown their capability in solving this problem. The graph-based method attains a good accuracy but suffers in maintaining the computational cost when the number of microphones is...
master thesis 2018
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Morency, M.W. (author), Vorobyov, Sergiy A. (author), Leus, G.J.T. (author)
Source localization and spectral estimation are among the most fundamental problems in statistical and array signal processing. Methods that rely on the orthogonality of the signal and noise subspaces, such as Pisarenko's method, MUSIC, and root-MUSIC, are some of the most widely used algorithms to solve these problems. As a common feature,...
journal article 2018
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