Towards a multimodal method for identifying and interpreting funds of identity derived from avatars

Author(s):  
Adam Poole
Keyword(s):  
2012 ◽  
Vol 29 (2) ◽  
pp. 198-220 ◽  
Author(s):  
Ivan Gavrilyuk ◽  
Marten Hermann ◽  
Ivan Lukovsky ◽  
Oleksandr Solodun ◽  
Alexander Timokha

2021 ◽  
Author(s):  
Jian Chen ◽  
Weiyang Yu ◽  
Haifeng Zhou ◽  
Jian Zhang ◽  
Xi Wang ◽  
...  

Author(s):  
Björn-Ole Meyer ◽  
M. Pilar J. Stella ◽  
Dominik Marti ◽  
Bjørn Holst ◽  
Boye S. Nielsen ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Yu Huo ◽  
Qingsong Hu ◽  
Yanjing Sun ◽  
Xiwang Guo ◽  
Liang Qi ◽  
...  

In order to reduce the path loss of the wireless communication signal in the underground tunnel, a scheme for configuring the antenna polarization of wireless systems based on a zone-division method is proposed. A multimodal method is used to estimate the effect of antenna polarization on the wireless propagation. When the optimal polarization of the antenna leading to low path loss is different in the zones near and far from the transmitting antenna, a dividing point is used to separate the zones. Experiments are conducted in an underground mine. It shows that the results by the multimodal method are consistent with the real data. Compared with the existing coverage schemes, the proposed scheme can obtain better coverage. Meanwhile, zone division has an important influence on the optimized performance of the wireless coverage. The zones divided based on Fresnel zone clearance and system identification are too small or too large, which result in incorrect polarization switching and high path loss.


2008 ◽  
Vol 310 (4-5) ◽  
pp. 902-922 ◽  
Author(s):  
G. Kooijman ◽  
P. Testud ◽  
Y. Aurégan ◽  
A. Hirschberg

2013 ◽  
Vol 42 ◽  
pp. 152-165 ◽  
Author(s):  
I. Gavrilyuk ◽  
M. Hermann ◽  
Yu. Trotsenko ◽  
A. Timokha

BMC Surgery ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jie Chu ◽  
Ying Zhang ◽  
Wenzhi Zhang ◽  
Dan Zhao ◽  
Jianping Xu ◽  
...  

Abstract Background To investigate the value of multimodal ultrasonography in differentiating tuberculosis from other lymphadenopathy. Methods Sixty consecutive patients with superficial lymphadenopathy treated at our hospital from January 2017 to December 2018 were categorized into four types based on the color Doppler ultrasound, five types based on contrast-enhanced ultrasound, and five types based on elastography. Sensitivity and specificity were calculated of all the three imaging, including color Doppler examination, contrast-enhanced ultrasound and one individual multimodal method, for detecting lymph nodes. Results A total of 60 patients were included in the final analysis. Of those, Mycobacterium tuberculosis was positive in 38 patients and negative in 22 patients. Among the 38 patients who were positive for Mycobacterium tuberculosis, of which 23 had a history of pulmonary tuberculosis, accounting for 60.53% of the positive cases, and the remaining patients did not combine lesions of other organs. Among the 60 superficial lymph nodes, 63.3% presented with tuberculous lymphadenitis. The sensitivity, specificity, and accuracy of the color Doppler examination were 73.68%, 68.18%, and 71.67%, respectively. The sensitivity, specificity and accuracy of contrast-enhanced ultrasound were 89.47%, 63.64% and 80.00%, respectively. The sensitivity, specificity and accuracy of the elastography were 63.16%, 63.64% and 63.33%, respectively. The sensitivity, specificity and accuracy of one individual multimodal method were 42.11%, 95.45% and 61.67%, respectively. The sensitivity, specificity and accuracy of all modes combined were 100.00%, 27.27% and 73.33%, respectively. Conclusion Multimodal ultrasonography has high predictive value for the differential diagnosis of superficial tuberculous lymphadenitis.


Author(s):  
Leila Akrour ◽  
Soltane Ameur ◽  
Mourad Lahdir ◽  
Régis Fournier ◽  
Amine Nait Ali

Many compression methods, lossy or lossless, were developed for 3D hyperspectral images, and various standards have emerged and applied to these amounts of data in order to achieve the best rate-distortion performance. However, high-dimensional data volume of hyperspectal images is problematic for compression and decompression time. Nowadays, fast compression and especially fast decompression algorithms are of primary importance in image data applications. In this case, we present a lossy hyperspectral image compression based on supervised multimodal scheme in order to improve the compression results. The supervised multimodal method is used to reduce the amount of data before their compression with the 3D-SPIHT encoder based on 3D wavelet transform. The performance of the Supervised Multimodal Compression (SMC-3D-SPIHT encoder) has been evaluated on AVIRIS hyperspectral images. Experimental results indicate that the proposed algorithm provides very promising performance at low bit-rates while reducing the encoding/decoding time.


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