Abstract
For the first time in human history, the majority of the world?s inhabitants now reside in cities. Urban inhabitants are expected to account for a staggering 67% of the world?s population (6.3 billion people) by 2050 [1]. This enormous migration toward urban environments has brought with it a host of challenges related to sustainability, health, and development. Engineers, scientists, and policy makers must grapple with the daunting task of providing the next generation of urban citizens with such core necessities as clean water, energy, and air.
Original language | English (US) |
---|---|
Article number | 6879574 |
Pages (from-to) | 130-136 |
Number of pages | 7 |
Journal | IEEE Signal Processing Magazine |
Volume | 31 |
Issue number | 5 |
DOIs | |
State | Published - 2014 |
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ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering
- Applied Mathematics
Cite this
Big data + big cities : Graph signals of urban air pollution [Exploratory SP]. / Jain, Rishee K.; Moura, Jose M.F.; Kontokosta, Constantine.
In: IEEE Signal Processing Magazine, Vol. 31, No. 5, 6879574, 2014, p. 130-136.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Big data + big cities
T2 - Graph signals of urban air pollution [Exploratory SP]
AU - Jain, Rishee K.
AU - Moura, Jose M.F.
AU - Kontokosta, Constantine
PY - 2014
Y1 - 2014
N2 - For the first time in human history, the majority of the world?s inhabitants now reside in cities. Urban inhabitants are expected to account for a staggering 67% of the world?s population (6.3 billion people) by 2050 [1]. This enormous migration toward urban environments has brought with it a host of challenges related to sustainability, health, and development. Engineers, scientists, and policy makers must grapple with the daunting task of providing the next generation of urban citizens with such core necessities as clean water, energy, and air.
AB - For the first time in human history, the majority of the world?s inhabitants now reside in cities. Urban inhabitants are expected to account for a staggering 67% of the world?s population (6.3 billion people) by 2050 [1]. This enormous migration toward urban environments has brought with it a host of challenges related to sustainability, health, and development. Engineers, scientists, and policy makers must grapple with the daunting task of providing the next generation of urban citizens with such core necessities as clean water, energy, and air.
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UR - http://www.scopus.com/inward/citedby.url?scp=85032751411&partnerID=8YFLogxK
U2 - 10.1109/MSP.2014.2330357
DO - 10.1109/MSP.2014.2330357
M3 - Article
AN - SCOPUS:85032751411
VL - 31
SP - 130
EP - 136
JO - IEEE Signal Processing Magazine
JF - IEEE Signal Processing Magazine
SN - 1053-5888
IS - 5
M1 - 6879574
ER -