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

Amine Ait Si Ali; Abbes Amira; Faycal Bensaali

doi:10.1109/ICECS.2013.6815348

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

Amine Ait Si Ali, Abbes Amira, Faycal Bensaali

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013
Publisher	IEEE
Pages	68-69
Number of pages	2
ISBN (Electronic)	9781479924523
DOIs	https://doi.org/10.1109/ICECS.2013.6815348
Publication status	Published - Dec 2013
Externally published	Yes
Event	2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013 - Abu Dhabi, United Arab Emirates Duration: 8 Dec 2013 → 11 Dec 2013

Conference

Conference	2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013
Country/Territory	United Arab Emirates
City	Abu Dhabi
Period	8/12/13 → 11/12/13

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10.1109/ICECS.2013.6815348

Cite this

@inproceedings{4f9f3c12e00c4143980c6e5caacc2bee,

title = "Custom IP cores for robust data analysis and pattern recognition algorithms used in gas applications",

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.",

author = "Ali, {Amine Ait Si} and Abbes Amira and Faycal Bensaali",

year = "2013",

month = dec,

doi = "10.1109/ICECS.2013.6815348",

language = "English",

pages = "68--69",

booktitle = "2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013",

publisher = "IEEE",

address = "United States",

note = "2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013 ; Conference date: 08-12-2013 Through 11-12-2013",

}

Ali, AAS, Amira, A & Bensaali, F 2013, Custom IP cores for robust data analysis and pattern recognition algorithms used in gas applications. in 2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013., 6815348, IEEE, pp. 68-69, 2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013, Abu Dhabi, United Arab Emirates, 8/12/13. https://doi.org/10.1109/ICECS.2013.6815348

Custom IP cores for robust data analysis and pattern recognition algorithms used in gas applications. / Ali, Amine Ait Si; Amira, Abbes; Bensaali, Faycal.
2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013. IEEE, 2013. p. 68-69 6815348.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Custom IP cores for robust data analysis and pattern recognition algorithms used in gas applications

AU - Ali, Amine Ait Si

AU - Amira, Abbes

AU - Bensaali, Faycal

PY - 2013/12

Y1 - 2013/12

N2 - 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.

AB - 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.

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DO - 10.1109/ICECS.2013.6815348

M3 - Conference contribution

AN - SCOPUS:84901452618

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BT - 2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013

PB - IEEE

T2 - 2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013

Y2 - 8 December 2013 through 11 December 2013

ER -

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

Abstract

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