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contributor authorYongchao Yang
contributor authorSatish Nagarajaiah
date accessioned2017-05-08T22:06:01Z
date available2017-05-08T22:06:01Z
date copyrightJuly 2014
date issued2014
identifier other26197277.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/71326
description abstractThis paper proposes a novel lossy data compression scheme for structural seismic responses based on principled (truncated) independent component analysis (PICA). It is first shown that independent component analysis (ICA) is able to transform a multivariate data set into a sparse representation space where is optimal for coding and compression, such that both the intradependencies and interdependencies (i.e., redundant information) between the multichannel data are removed for efficient data compression. Two examples are presented to demonstrate the compression performance of PICA, using the real-measured structural seismic responses from the 1994 Northridge earthquake, of the Fire Command Control (FCC) building and the USC hospital building, respectively. It is compared with the popular wavelet transform coding technique, which is only able to handle single-channel data separately. Results show that PICA achieves dramatically higher compression ratio (CR) than the wavelet method while retaining excellent reconstruction accuracy. It is also shown that PICA slightly outperforms the (principled) principal component analysis (PCA) method—which used to be considered optimal multivariate data compression scheme—with respect to both CR and reconstruction accuracy. Equipped with the FastICA algorithm that enjoys a cubic convergence rate, PICA has potential for rapid and reliable data transfer, communication (e.g., multihop wireless sensor network), storage, and retrieval in online or post-disaster (e.g., earthquake) monitoring and assessment applications of civil infrastructures.
publisherAmerican Society of Civil Engineers
titleData Compression of Structural Seismic Responses via Principled Independent Component Analysis
typeJournal Paper
journal volume140
journal issue7
journal titleJournal of Structural Engineering
identifier doi10.1061/(ASCE)ST.1943-541X.0000946
treeJournal of Structural Engineering:;2014:;Volume ( 140 ):;issue: 007
contenttypeFulltext


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