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A Functional Sensing Model and a Case Study in Household Electricity Usage Sensing

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Abstract

Sensing is a fundamental process to acquire information in the physical world for computation. Existing models treat a sensing process as an indivisible whole, such that sampling and reconstructing of signals are designed to be highly associated with each other in a unified procedure. These strongly coupled sensing systems are efficient, but usually lack reusability and upgradeability. We propose a functional sensing model called SDR (Sampling-Design-Reconstruction) to decouple a sensing process into two modules: sampling protocol and reconstruction algorithm. The core of this decoupling is a design space, which is a common data structure constructed using functions of the sensing target as prior knowledge, to seamlessly bridge the sampling protocol and reconstruction algorithm together. We demonstrate that existing types of household electricity usage sensing systems can be successfully decoupled by introducing corresponding design spaces.

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Authors and Affiliations

  1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China

    Jing-Jie Liu & Lei Nie

  2. University of Chinese Academy of Sciences, Beijing, 100049, China

    Jing-Jie Liu & Lei Nie

Authors
  1. Jing-Jie Liu
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  2. Lei Nie
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Corresponding authors

Correspondence to Jing-Jie Liu or Lei Nie.

Additional information

Supported by the Strategic Priority Program of the Chinese Academy of Sciences under Grant No. XDA06010401, the National Basic Research 973 Program of China under Grant Nos. 2011CB302800, 2011CB302502, and the Guangdong Talents Program of China under Grant No. 201001D0104726115.

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Liu, JJ., Nie, L. A Functional Sensing Model and a Case Study in Household Electricity Usage Sensing. J. Comput. Sci. Technol. 29, 182–193 (2014). https://doi.org/10.1007/s11390-014-1421-1

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  • DOI: https://doi.org/10.1007/s11390-014-1421-1

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