Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)

Numerical Information Retrieval and Modeling for Small Droplet Samples

Authors
P. He, L. Xue, Y. Qi, L. Zhang, Y. Lu
Corresponding Author
P. He
Available Online August 2013.
DOI
https://doi.org/10.2991/icacsei.2013.168How to use a DOI?
Keywords
Information retrieval, Data analysis, Biomicrofluidics, Droplets, Modeling.
Abstract
Information retrieval is applied widely in modern digital world. Particularly in chemistry and life science, retrieval technology is used for raw data acquirement, analytical modeling and processing optimization. The complicated microdroplets fabrication can be facilitated through different retrievals. In this work, different information retrieval and analysis were performed through small samples. The linear model could depict general droplet size variation. Nonlinear item was found and then added in this model to ameliorate its effectiveness. The biomicrofluidic droplet variations, as complicated procedure, were described satisfactorily in the optimized nonlinear model. Neural Networks Modeling (NNM) was performed to train the small samples and finally the verification of NNM demonstrated its accuracy for small droplet samples.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
978-90-78677-74-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/icacsei.2013.168How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - P. He
AU  - L. Xue
AU  - Y. Qi
AU  - L. Zhang
AU  - Y. Lu
PY  - 2013/08
DA  - 2013/08
TI  - Numerical Information Retrieval and Modeling for Small Droplet Samples
BT  - 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icacsei.2013.168
DO  - https://doi.org/10.2991/icacsei.2013.168
ID  - He2013/08
ER  -