Results 11 to 20 of about 364,278 (313)

Mobile Sensing Systems [PDF]

open access: yesSensors, 2013
Rich-sensor smart phones have made possible the recent birth of the mobile sensing research area as part of ubiquitous sensing which integrates other areas such as wireless sensor networks and web sensing.
Elsa Macias, Alvaro Suarez, Jaime Lloret
doaj   +6 more sources

MOBILE ATMOSPHERIC SENSING [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017
Atmospheric quality dramatically deteriorates over the past decades around themetropolitan areas of China. Due to the coal combustion, industrial air pollution, vehicle waste emission, etc., the public health suffers from exposure to such air pollution ...
L. Wang, Y. Huang
doaj   +3 more sources

Airborne chemical sensing with mobile robots [PDF]

open access: yesSensors, 2006
Airborne chemical sensing with mobile robots has been an active research areasince the beginning of the 1990s. This article presents a review of research work in this field,including gas distribution mapping, trail guidance, and the different subtasks of
Achim Lilienthal   +75 more
core   +9 more sources

ESTIMATING PM2.5 CONCENTRATIONS IN BRITISH COLUMBIA, CANADA DURING WILDFIRE SEASON USING SATELLITE OPTICAL DATA [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
British Columba, Canada experienced its record-breaking wildfire season in 2017. The wildfire smoke is one of the main sources of fine particles with diameters smaller than 2.5 μm (PM2.5).
S. N. Fatholahi   +6 more
doaj   +1 more source

INVESTIGATING THE INFLUENCE OF TREE COVERAGE ON PROPERTY CRIME: A CASE STUDY IN THE CITY OF VANCOUVER, BRITISH COLUMBIA, CANADA [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
With the development of Geographic Information Systems (GIS), crime mapping becomes an effective approach to investigate the spatial pattern of crime in a defined area.
Y. Chen, Y. Li, J. Li
doaj   +1 more source

A FEASIBILITY STUDY ON USE OF GENERIC MOBILE LASER SCANNING SYSTEM FOR DETECTING ASPHALT PAVEMENT CRACKS [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
This study aims to automatically detect pavement cracks on urban roads by employing the 3D point clouds acquired by a mobile laser scanning (MLS) system. Our method consists of four steps: ground point filtering, high-pass convolution, matched filtering,
X. Chen, J. Li
doaj   +1 more source

Comfortability with the passive collection of smartphone data for monitoring of mental health: An online survey

open access: yesComputers in Human Behavior Reports, 2021
Background: For successful integration of mobile sensing solutions in existing mental health services, patients' comfortability with mobile sensing is crucial.
Kitti Bessenyei   +8 more
doaj   +1 more source

From participatory sensing to Mobile Crowd Sensing [PDF]

open access: yes2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS), 2014
The research on the efforts of combining human and machine intelligence has a long history. With the development of mobile sensing and mobile Internet techniques, a new sensing paradigm called Mobile Crowd Sensing (MCS), which leverages the power of citizens for large-scale sensing has become popular in recent years.
Guo, Bin   +3 more
openaire   +2 more sources

Spacetime-based Mobile Sensing Node Selection Algorithm [PDF]

open access: yesJisuanji gongcheng, 2018
The spacetime of the node is neglected when the mobile sensing node is chosen in mobile Internet.Aiming at this problem,based on the use of mobile sensing nodes instead of fixed sensing nodes as the sensing devices,this paper proposes a mobile node ...
GUO Hui,CHENG Lianglun
doaj   +1 more source

Differentially Private Mobile Crowd Sensing Considering Sensing Errors [PDF]

open access: yesSensors, 2020
An increasingly popular class of software known as participatory sensing, or mobile crowdsensing, is a means of collecting people’s surrounding information via mobile sensing devices. To avoid potential undesired side effects of this data analysis method, such as privacy violations, considerable research has been conducted over the last decade to ...
Yuichi Sei, Akihiko Ohsuga
openaire   +3 more sources

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