Source Identification Using Multi-Input/Single-Output Modeling and Causality Checking of Correlated Inputs

1994 ◽  
Vol 116 (2) ◽  
pp. 232-236 ◽  
Author(s):  
Jung-Seok Park ◽  
Kwang-Joon Kim

This paper presents experimental results of a case study of source identification using multiple-input/single-output modeling in a case where the inputs are coherent to some extent and, hence, the priority among the correlated inputs must be decided before applying the partial coherence function approach. The basic idea is that either one of any two correlated signals causes the other and that this causality can be checked by observing the impulse response functions estimated in the negative time region, interpretations of which are provided for a system transfer function given in the fractional form of polynomials and for a case of wave propagation. The experimental results from a three inputs/single output acoustical system shows that the method works well and is promising in the source identification problems with coherent inputs.

2013 ◽  
Vol 316-317 ◽  
pp. 1118-1122
Author(s):  
Song Bai ◽  
Xin Xi Xu ◽  
Meng Yang ◽  
Xiao Hui Liu ◽  
Wei Hua Su ◽  
...  

To solve the problem of an ambulance interior noise, a multi-input and single-output linear system model is established based on the partial coherence analysis method. In this model, vibration acceleration signals of panels are treated as input, sound pressure signals is treated as output. The relevant influence among the system inputs are ruled out and the partial coherence function value is considered as an indicator to estimate the panels’ acoustic contribution to the field point. On the basis of analysis, the structural modification with damping materials is performed on the panels with greater contribution. The results show that panels’ acoustic contribution can be analyzed by partial coherence analysis method effectively and structural modification with damping materials based on the method has significant effect on reducing the vehicle interior noise and decreasing additional mass.


2013 ◽  
Vol 427-429 ◽  
pp. 1785-1788
Author(s):  
Yan Bo Geng ◽  
Lei Lei Gao ◽  
Zhan Wen Zhang ◽  
Zhe Lei Wei

Since soil stabilizer consists of many operating components, it has lots of noise sources, and the major noise sources are relevant. So, it is appropriate to identify the noise source of the soil stabilizer using the partial coherence analysis. In this paper, a multi-input and single-output noise source identification model is firstly established, and then an algorithm is developed for the calculation of the partial coherence function. Finally, an experiment is carried out with an actual soil stabilizer. In the experiment the main noise sources are accurately identified. This work provides some guidance for further study of vibration and noise reduction of the soil stabilizer.


Author(s):  
Jiuk Chang ◽  
Sangkwon Lee ◽  
Jongho Park ◽  
Byunghyun Kim ◽  
Hongseok Park

This paper presents the method estimating the contribution of vibration sources in gasoline engine with a multiple input system. Multi Dimensional Spectral Analysis (MDSA) has used to identify the cause of a linear dependence indicated by an ordinary coherence function. In order to apply the MDSA to the vibration source identification in gasoline engine, the virtual model of two inputs and single output system is simulated. For the validation of this model, the vibration of alternator was measured by using tri-axial accelerometers attached on the selected vibration source. After calculating the coherence analysis between each source based on the virtual model, the vibration contribution of alternator is calculated.


2020 ◽  
Vol 39 (3) ◽  
pp. 407-437
Author(s):  
Markus Bader

Abstract In German, a verb selected by another verb normally precedes the selecting verb. Modal verbs in the perfect tense provide an exception to this generalization because they require the perfective auxiliary to occur in cluster-initial position according to prescriptive grammars. Bader and Schmid (2009b) have shown, however, that native speakers accept the auxiliary in all positions except the cluster-final one. Experimental results as well as corpus data indicate that verb cluster serialization is a case of free variation. I discuss how this variation can be accounted for, focusing on two mismatches between acceptability and frequency: First, slight acceptability advantages can turn into strong frequency advantages. Second, syntactic variants with basically zero frequency can still vary substantially in acceptability. These mismatches remain unaccounted for if acceptability is related to frequency on the level of whole sentence structures, as in Stochastic OT (Boersma and Hayes2001). However, when the acceptability-frequency relationship is modeled on the level of individual weighted constraints, using harmony as link (see Pater2009, for different harmony based frameworks), the two mismatches follow given appropriate linking assumptions.


2021 ◽  
Vol 11 (15) ◽  
pp. 7169
Author(s):  
Mohamed Allouche ◽  
Tarek Frikha ◽  
Mihai Mitrea ◽  
Gérard Memmi ◽  
Faten Chaabane

To bridge the current gap between the Blockchain expectancies and their intensive computation constraints, the present paper advances a lightweight processing solution, based on a load-balancing architecture, compatible with the lightweight/embedding processing paradigms. In this way, the execution of complex operations is securely delegated to an off-chain general-purpose computing machine while the intimate Blockchain operations are kept on-chain. The illustrations correspond to an on-chain Tezos configuration and to a multiprocessor ARM embedded platform (integrated into a Raspberry Pi). The performances are assessed in terms of security, execution time, and CPU consumption when achieving a visual document fingerprint task. It is thus demonstrated that the advanced solution makes it possible for a computing intensive application to be deployed under severely constrained computation and memory resources, as set by a Raspberry Pi 3. The experimental results show that up to nine Tezos nodes can be deployed on a single Raspberry Pi 3 and that the limitation is not derived from the memory but from the computation resources. The execution time with a limited number of fingerprints is 40% higher than using a classical PC solution (value computed with 95% relative error lower than 5%).


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