Shape expressions for specifying and extracting signal features

D. Ničković, X. Qin, T. Ferrere, C. Mateis, J. Deshmukh, in:, 19th International Conference on Runtime Verification, Springer Nature, 2019, pp. 292–309.

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Conference Paper | Published | English
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Series Title
LNCS
Abstract
Cyber-physical systems (CPS) and the Internet-of-Things (IoT) result in a tremendous amount of generated, measured and recorded time-series data. Extracting temporal segments that encode patterns with useful information out of these huge amounts of data is an extremely difficult problem. We propose shape expressions as a declarative formalism for specifying, querying and extracting sophisticated temporal patterns from possibly noisy data. Shape expressions are regular expressions with arbitrary (linear, exponential, sinusoidal, etc.) shapes with parameters as atomic predicates and additional constraints on these parameters. We equip shape expressions with a novel noisy semantics that combines regular expression matching semantics with statistical regression. We characterize essential properties of the formalism and propose an efficient approximate shape expression matching procedure. We demonstrate the wide applicability of this technique on two case studies.
Publishing Year
Date Published
2019-10-01
Proceedings Title
19th International Conference on Runtime Verification
Volume
11757
Page
292-309
Conference
RV: Runtime Verification
Conference Location
Porto, Portugal
Conference Date
2019-10-08 – 2019-10-11
ISSN
IST-REx-ID

Cite this

Ničković D, Qin X, Ferrere T, Mateis C, Deshmukh J. Shape expressions for specifying and extracting signal features. In: 19th International Conference on Runtime Verification. Vol 11757. Springer Nature; 2019:292-309. doi:10.1007/978-3-030-32079-9_17
Ničković, D., Qin, X., Ferrere, T., Mateis, C., & Deshmukh, J. (2019). Shape expressions for specifying and extracting signal features. In 19th International Conference on Runtime Verification (Vol. 11757, pp. 292–309). Porto, Portugal: Springer Nature. https://doi.org/10.1007/978-3-030-32079-9_17
Ničković, Dejan, Xin Qin, Thomas Ferrere, Cristinel Mateis, and Jyotirmoy Deshmukh. “Shape Expressions for Specifying and Extracting Signal Features.” In 19th International Conference on Runtime Verification, 11757:292–309. Springer Nature, 2019. https://doi.org/10.1007/978-3-030-32079-9_17.
D. Ničković, X. Qin, T. Ferrere, C. Mateis, and J. Deshmukh, “Shape expressions for specifying and extracting signal features,” in 19th International Conference on Runtime Verification, Porto, Portugal, 2019, vol. 11757, pp. 292–309.
Ničković D, Qin X, Ferrere T, Mateis C, Deshmukh J. 2019. Shape expressions for specifying and extracting signal features. 19th International Conference on Runtime Verification. RV: Runtime Verification, LNCS, vol. 11757. 292–309.
Ničković, Dejan, et al. “Shape Expressions for Specifying and Extracting Signal Features.” 19th International Conference on Runtime Verification, vol. 11757, Springer Nature, 2019, pp. 292–309, doi:10.1007/978-3-030-32079-9_17.

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