Low power algorithm-architecture co-design of fast Independent Component Analysis (FICA) for multi-gas sensor applications

Chieh Chao Yang; Po-Tsang Huang; Chun Ying Huang; Ching Te Chuang; Wei Hwang

doi:10.1109/VLSI-DAT.2015.7114512

Low power algorithm-architecture co-design of fast Independent Component Analysis (FICA) for multi-gas sensor applications

Chieh Chao Yang, Po-Tsang Huang, Chun Ying Huang, Ching Te Chuang, Wei Hwang

International College of Semiconductor Technology

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

Abstract

For miniaturized multi-gas sensors, the detected multi-gas signals would be self-interfered by responses to multiple gases. In this paper, a fast Independent Component Analysis (FICA) is proposed to restore the original source signals from the mixed signals received by different gas sensors. This FICA is designed and implemented by low power algorithm-architecture co-design considering the tradeoffs among power, delay and accuracy of extracted signals for multi-gas sensor applications. To further reduce the power consumption, a data-length controller is designed to adjust the calculated data-length. Additionally, a stability check unit is utilized to terminate the ICA execution for reduction of the computation time and total energy. Compared with the conventional ICA design, the proposed low-power FICA realizes energy reduction by 75% for multi-gas sensor applications.

Original language	English
Title of host publication	2015 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479962754
DOIs	https://doi.org/10.1109/VLSI-DAT.2015.7114512
State	Published - 28 May 2015
Event	2015 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2015 - Hsinchu, Taiwan Duration: 27 Apr 2015 → 29 Apr 2015

Publication series

Name	2015 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2015

Conference

Conference	2015 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2015
Country/Territory	Taiwan
City	Hsinchu
Period	27/04/15 → 29/04/15

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10.1109/VLSI-DAT.2015.7114512

Cite this

Yang, C. C., Huang, P.-T., Huang, C. Y., Chuang, C. T., & Hwang, W. (2015). Low power algorithm-architecture co-design of fast Independent Component Analysis (FICA) for multi-gas sensor applications. In 2015 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2015 Article 7114512 (2015 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VLSI-DAT.2015.7114512

Yang, Chieh Chao ; Huang, Po-Tsang ; Huang, Chun Ying et al. / Low power algorithm-architecture co-design of fast Independent Component Analysis (FICA) for multi-gas sensor applications. 2015 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2015. Institute of Electrical and Electronics Engineers Inc., 2015. (2015 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2015).

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title = "Low power algorithm-architecture co-design of fast Independent Component Analysis (FICA) for multi-gas sensor applications",

abstract = "For miniaturized multi-gas sensors, the detected multi-gas signals would be self-interfered by responses to multiple gases. In this paper, a fast Independent Component Analysis (FICA) is proposed to restore the original source signals from the mixed signals received by different gas sensors. This FICA is designed and implemented by low power algorithm-architecture co-design considering the tradeoffs among power, delay and accuracy of extracted signals for multi-gas sensor applications. To further reduce the power consumption, a data-length controller is designed to adjust the calculated data-length. Additionally, a stability check unit is utilized to terminate the ICA execution for reduction of the computation time and total energy. Compared with the conventional ICA design, the proposed low-power FICA realizes energy reduction by 75% for multi-gas sensor applications.",

author = "Yang, {Chieh Chao} and Po-Tsang Huang and Huang, {Chun Ying} and Chuang, {Ching Te} and Wei Hwang",

year = "2015",

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doi = "10.1109/VLSI-DAT.2015.7114512",

language = "English",

series = "2015 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2015 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2015",

address = "美國",

note = "2015 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2015 ; Conference date: 27-04-2015 Through 29-04-2015",

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Yang, CC, Huang, P-T, Huang, CY, Chuang, CT & Hwang, W 2015, Low power algorithm-architecture co-design of fast Independent Component Analysis (FICA) for multi-gas sensor applications. in 2015 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2015., 7114512, 2015 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2015, Institute of Electrical and Electronics Engineers Inc., 2015 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2015, Hsinchu, Taiwan, 27/04/15. https://doi.org/10.1109/VLSI-DAT.2015.7114512

Low power algorithm-architecture co-design of fast Independent Component Analysis (FICA) for multi-gas sensor applications. / Yang, Chieh Chao; Huang, Po-Tsang; Huang, Chun Ying et al.
2015 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7114512 (2015 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2015).

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

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AU - Hwang, Wei

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AB - For miniaturized multi-gas sensors, the detected multi-gas signals would be self-interfered by responses to multiple gases. In this paper, a fast Independent Component Analysis (FICA) is proposed to restore the original source signals from the mixed signals received by different gas sensors. This FICA is designed and implemented by low power algorithm-architecture co-design considering the tradeoffs among power, delay and accuracy of extracted signals for multi-gas sensor applications. To further reduce the power consumption, a data-length controller is designed to adjust the calculated data-length. Additionally, a stability check unit is utilized to terminate the ICA execution for reduction of the computation time and total energy. Compared with the conventional ICA design, the proposed low-power FICA realizes energy reduction by 75% for multi-gas sensor applications.

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Yang CC, Huang PT, Huang CY, Chuang CT, Hwang W. Low power algorithm-architecture co-design of fast Independent Component Analysis (FICA) for multi-gas sensor applications. In 2015 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7114512. (2015 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2015). doi: 10.1109/VLSI-DAT.2015.7114512

Low power algorithm-architecture co-design of fast Independent Component Analysis (FICA) for multi-gas sensor applications

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