Salient features of branched chain amino acid strain states using confocal Raman spectroscopy with adaptive principal component analysis

2020 ◽  
Vol 107 ◽  
pp. 103035 ◽  
Author(s):  
Abigail H.M. Casey ◽  
Carleah Dorsey ◽  
Nyia E. Chusan ◽  
Caroline A. Campbell ◽  
Gregory E. Triplett
Author(s):  
Ekaterina Aleksandrova ◽  
Christos Anagnostopoulos

This chapter introduces statistical learning methods and findings of a group decision-making algorithm in internet of things (IoT) and edge computing environments. The discussed methodology locally detects outliers in an on-line and adaptive mode. It is driven by three perspectives—opinion, confidence, and independence—and exploits the incremental principal component analysis using the power method for eigenvector and eigenvalue estimation and Knuth and Welford's online algorithms for variance estimation. The methodology is implemented and evaluated over real contextual data in a wireless network of environmental sensors from where appropriate conclusions are drawn about the capabilities and limitations of the proposed solution in IoT environments.


2016 ◽  
Vol 87 ◽  
pp. 1-7 ◽  
Author(s):  
Mariana R. Almeida ◽  
Letícia P. de Souza ◽  
Rodrigo S. Cesar ◽  
Rafael A. Sousa ◽  
Celly M.S. Izumi

2014 ◽  
Vol 29 (3) ◽  
pp. 1241-1249 ◽  
Author(s):  
José Luis González-Solís ◽  
Juan Carlos Martínez-Espinosa ◽  
Juan Manuel Salgado-Román ◽  
Pascual Palomares-Anda

2008 ◽  
Vol 62 (3) ◽  
pp. 267-272 ◽  
Author(s):  
J. Guicheteau ◽  
L. Argue ◽  
D. Emge ◽  
A. Hyre ◽  
M. Jacobson ◽  
...  

Surface-enhanced Raman spectroscopy (SERS) can provide rapid fingerprinting of biomaterial in a nondestructive manner. The adsorption of colloidal silver to biological material suppresses native biofluorescence while providing electromagnetic surface enhancement of the normal Raman signal. This work validates the applicability of qualitative SER spectroscopy for analysis of bacterial species by utilizing principal component analysis (PCA) to show discrimination of biological threat simulants, based upon multivariate statistical confidence limits bounding known data clusters. Gram-positive Bacillus spores ( Bacillus atrophaeus, Bacillus anthracis, and Bacillus thuringiensis) are investigated along with the Gram-negative bacterium Pantoea agglomerans.


2016 ◽  
Vol 23 (4) ◽  
pp. 434-438 ◽  
Author(s):  
Chenglin Zuo ◽  
Ljubomir Jovanov ◽  
Bart Goossens ◽  
Hiep Quang Luong ◽  
Wilfried Philips ◽  
...  

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