Real Time Level Ground Walking vs Stair-Climbing Locomotion Mode Detection

Author(s):  
Md Rejwanul Haque ◽  
Masudul H Imtiaz ◽  
Xiangrong Shen ◽  
Edward Sazonov
2015 ◽  
Vol 8 (S2) ◽  
pp. 40 ◽  
Author(s):  
C. Dinesh ◽  
V. V. Manikanta ◽  
H. S. Rohini ◽  
K. R. Prabhu

2017 ◽  
Vol 22 (6) ◽  
pp. 2480-2491 ◽  
Author(s):  
Andrea Parri ◽  
Kebin Yuan ◽  
Dario Marconi ◽  
Tingfang Yan ◽  
Simona Crea ◽  
...  

ETRI Journal ◽  
2014 ◽  
Vol 36 (1) ◽  
pp. 99-105 ◽  
Author(s):  
Deok-Hwan Kim ◽  
Chi-Young Cho ◽  
Jaehwan Ryu

2015 ◽  
Vol 15 (21) ◽  
pp. 12179-12191 ◽  
Author(s):  
T. Grigas ◽  
M. Hervo ◽  
G. Gimmestad ◽  
H. Forrister ◽  
P. Schneider ◽  
...  

Abstract. The expedited near-real-time Level 1.5 Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) version 3 products were evaluated against data from the ground-based European Aerosol Research Lidar Network (EARLINET). The statistical framework and results of the three-year evaluation of 48 CALIOP overpasses with ground tracks within a 100 km distance from operating EARLINET stations are presented and include analysis for the following CALIOP classifications of aerosol type: dust, polluted dust, clean marine, clean continental, polluted continental, mixed and/or smoke/biomass burning. For the complete data set comprising both the planetary boundary layer (PBL) and the free troposphere (FT) data, the correlation coefficient (R) was 0.86. When the analysis was conducted separately for the PBL and FT, the correlation coefficients were R = 0.6 and R = 0.85, respectively. From analysis of selected specific cases, it was initially thought that the presence of FT layers, with high attenuated backscatter, led to poor agreement of the PBL backscatter profiles between the CALIOP and EARLINET and prompted a further analysis to filter out such cases; however, removal of these layers did not improve the agreement as R reduced marginally from R = 0.86 to R = 0.84 for the combined PBL and FT analysis, increased marginally from R = 0.6 up to R = 0.65 for the PBL on its own, and decreased marginally from R = 0.85 to R = 0.79 for the FT analysis on its own. This suggests considerable variability, across the data set, in the spatial distribution of the aerosol over spatial scales of 100 km or less around some EARLINET stations rather than influence from elevated FT layers. For specific aerosol types, the correlation coefficient between CALIOP backscatter profiles and the EARLINET data ranged from R = 0.37 for polluted continental aerosol in the PBL to R = 0.57 for dust in the FT.


2021 ◽  
Author(s):  
haixian ren ◽  
Fangjun Huo ◽  
Caixia Yin

Glutathione (GSH) is a health-associated risk factor. Its abnormal concentration is an important signal for diseases such as Parkinson's disease, liver injury and cancer. Therefore, understanding its real-time level is...


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