Continuous Monitoring and Digital Systems for Elders

Author(s):  
Nuno Rocha ◽  
Raquel Sousa ◽  
Gil Gonçalves
Author(s):  
T. A. Dodson ◽  
E. Völkl ◽  
L. F. Allard ◽  
T. A. Nolan

The process of moving to a fully digital microscopy laboratory requires changes in instrumentation, computing hardware, computing software, data storage systems, and data networks, as well as in the operating procedures of each facility. Moving from analog to digital systems in the microscopy laboratory is similar to the instrumentation projects being undertaken in many scientific labs. A central problem of any of these projects is to create the best combination of hardware and software to effectively control the parameters of data collection and then to actually acquire data from the instrument. This problem is particularly acute for the microscopist who wishes to "digitize" the operation of a transmission or scanning electron microscope. Although the basic physics of each type of instrument and the type of data (images & spectra) generated by each are very similar, each manufacturer approaches automation differently. The communications interfaces vary as well as the command language used to control the instrument.


Author(s):  
N. K. Jha ◽  
S. Gupta
Keyword(s):  

2009 ◽  
Vol 47 (01) ◽  
Author(s):  
N Billecke ◽  
S Tröller ◽  
N Raschzok ◽  
MH Morgül ◽  
NN Kammer ◽  
...  

Metrologiya ◽  
2020 ◽  
pp. 25-42
Author(s):  
Dmitrii V. Khablov

This paper describes a promising method for non-contact vibration diagnostics based on the use of Doppler microwave sensors. In this case, active irradiation of the object with electromagnetic waves and the allocation of phase changes using two-channel quadrature processing of the received reflected signal are used. The modes of further fine analysis of the resulting signal using spectral or wavelet transformations depending on the nature of the active vibration are considered. The advantages of this non-contact and remote vibration analysis method for the study of complex dynamic objects are described. The convenience of the method for machine learning and use in intelligent systems of non-destructive continuous monitoring of the state of these objects by vibration is noted.


Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 917-P
Author(s):  
RYO KUMAGAI ◽  
AIKO MURAMATSU ◽  
MASANAO FUJII ◽  
YUKINO KATAKURA ◽  
KEIKO FUJIE ◽  
...  

Author(s):  
G.D. Trifanov ◽  
◽  
A.A. Knyazev ◽  
A.P. Filatov ◽  
V.V. Lauk ◽  
...  

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