Custom IP cores for robust data analysis and pattern recognition algorithms used in gas applications

Author

Ali, Amine Ait Si ; Amira, Abbes ; Bensaali, Faycal

Author_Institution

Sch. of Comput., Univ. of the West of Scotland, Paisley, UK

fYear

2013

fDate

8-11 Dec. 2013

Firstpage

68

Lastpage

69

Abstract

This paper presents an overview of a PhD research project, completed tasks and future work. The aim of the research is to contribute to the improvement of gas identification systems at different levels by designing and implementing dedicated IP cores for data analysis, pre-processing, dimensionality reduction and pattern recognition algorithms. This PhD dissertation research is part of an ongoing funded research project by NPRP-Qatar Foundation which consists of the development of a low power reconfigurable self-calibrated multi-sensing platform for gas applications.

Keywords

calibration; computerised instrumentation; data analysis; data reduction; gas sensors; logic circuits; low-power electronics; microprocessor chips; pattern recognition; sensor fusion; custom IP core; data analysis; data preprocessing; dimensionality reduction; gas identification system; low power reconfigurable self-calibrated multisensor; pattern recognition algorithm; Algorithm design and analysis; Field programmable gate arrays; Hardware; Pattern recognition; Principal component analysis; Sensors; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Circuits, and Systems (ICECS), 2013 IEEE 20th International Conference on

Conference_Location

Abu Dhabi

Type

conf

DOI

10.1109/ICECS.2013.6815348

Filename

6815348