CRAWDAD ucmerced/modes

Citation Author(s):
Hamid
Rajabi
Submitted by:
CRAWDAD Team
Last updated:
Thu, 05/26/2022 - 08:00
DOI:
10.15783/08kw-7n74
Data Format:
License:
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Abstract 

Room-level occupancy data for thermal and vibration sensing systems, along with their two late fusion schemes, to control HVAC systems.

This dataset contains time-series occupancy estimates under two scenarios of: 11 low occupancy days (with up to 2 occupants), and 3 high occupancy days (with up to 8 occupants), for four data schemes: - thermal sensor occupancy readings from the experimental room, - vibration sensor occupancy readings from the experimental room, - combination of thermal and vibration sources through a Data-driven Optimization-based Weighted Average (DOWA), - further and final improvement of the MODES occupancy estimate through the particle filter.

institution :

University of California Merced

version :

2022-05-20

Traceset

thermo-readings

  • files: thermo-readings.zip
  • description: The 14 days of measured time-series occupancy estimates by thermo sensor.
  • tech description: This tracesset includes 14 days of time-series occupancy for both low (the first 11 columns), and high (the last 3 clolumns) occupancy scenarios.
  • dataname: thermo-readings
  • version: 2022-05-20
  • date/time of measurement start: 2021-07-06
  • date/time of measurement end: 2021-07-23

thermo-readings Traces

    • thermo-readings.zip: undefined
  • last modified: 2022-05-26
  • dataname: thermo-readings.zip
  • url: /download/ucmerced/modes/2022-05-20/thermo-readings/thermo-readings.zip

vibration-readings

  • files: vibration-readings.zip
  • description: The 14 days of measured time-series occupancy estimates by vibration sensor.
  • tech description: This tracesset includes 14 days of time-series occupancy for both low (the first 11 columns), and high (the last 3 clolumns) occupancy scenarios.
  • dataname: vibration-readings
  • version: 2022-05-20
  • date/time of measurement start: 2021-07-06
  • date/time of measurement end: 2021-07-23

vibration-readings Traces

    • vibration-readings.zip: undefined
  • last modified: 2022-05-26
  • dataname: vibration-readings.zip
  • url: /download/ucmerced/modes/2022-05-20/vibration-readings/vibration-readings.zip

dowa

  • files: dowa.zip
  • description: The first level of late sensor fusion for thermo and vibration occupancy sensors
  • tech description: This time-series occupancy data are obtained through a Data-driven Optimization-based Weighted Average (DOWA) process on thermal and vibration inputs for both low occupancy (the first 11 columns), and high occpancy (the last 3 columns) scenarios.
  • dataname: dowa
  • version: 2022-05-20
  • date/time of measurement start: 2021-07-06
  • date/time of measurement end: 2021-07-23

dowa Traces

    • dowa.zip: undefined
  • last modified: 2022-05-26
  • dataname: dowa.zip
  • url: /download/ucmerced/modes/2022-05-20/dowa/dowa.zip

modes

  • files: modes.zip
  • description: The final level of late sensor fusion to further improve the occupancy obtained by the DOWA.
  • tech description: This time-series occupancy data are obtained through passing the DOWA's output into a Particle Filter for both low occupancy (the first 11 columns), and high occpancy (the last 3 columns) scenarios. These data are considered as the final and the most accurate occupancy estimate of the whole MODES system.
  • dataname: modes
  • version: 2022-05-20
  • date/time of measurement start: 2021-07-06
  • date/time of measurement end: 2021-07-23

modes Traces

    • modes.zip: undefined
  • last modified: 2022-05-26
  • dataname: modes.zip
  • url: /download/ucmerced/modes/2022-05-20/modes/modes.zip

Dataset Files

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Documentation

AttachmentSize
File ucmerced-modes-20220520-readme.txt1.59 KB

These datasets are part of Community Resource for Archiving Wireless Data (CRAWDAD). CRAWDAD began in 2004 at Dartmouth College as a place to share wireless network data with the research community. Its purpose was to enable access to data from real networks and real mobile users at a time when collecting such data was challenging and expensive. The archive has continued to grow since its inception, and starting in summer 2022 is being housed on IEEE DataPort.

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