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Real-time air quality measurements using mobile platforms

Descriptive

TitleInfo
Title
Real-time air quality measurements using mobile platforms
Name (type = personal)
NamePart (type = family)
Sevusu
NamePart (type = given)
Parveen
NamePart (type = date)
1977-
DisplayForm
Parveen Sevusu
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Iftode
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Liviu
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Liviu Iftode
Affiliation
Advisory Committee
Role
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chair
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NamePart (type = family)
Nath
NamePart (type = given)
Badri
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Badri Nath
Affiliation
Advisory Committee
Role
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internal member
Name (type = personal)
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Ganapathy
NamePart (type = given)
Vinod
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Vinod Ganapathy
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Carlton
NamePart (type = given)
Ann Marie
DisplayForm
Ann Marie Carlton
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (encoding = w3cdtf); (qualifier = exact)
2015
DateOther (qualifier = exact); (type = degree)
2015-01
CopyrightDate (encoding = w3cdtf); (qualifier = exact)
2015
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
Air pollution poses a serious threat to our health and quality of life. Measuring pollution in the air we breathe and sharing the results with our peers is an important step in increasing social awareness for creating a clean environment. Usually, pollution measurements are conducted using expensive monitors at fixed locations. These measurements fail to provide accurate real-time pollution information in most of the highly polluted roads. It is desirable to have access to real time fine-grained measurements to be able to quickly analyze and identify alarming levels of pollutants. Pervasiveness of smart phones with internet connectivity and increased availability of personal air quality sensors provide a unique opportunity to develop air pollution conscious community of users for collecting and sharing real time air pollution data. In this thesis, we propose air quality monitoring through mobile sensors, which are low-power, low-cost, designed to sample air pollutants such as carbon mono-oxide, nitrogen oxide, sulphur dioxide, environmental temperature, humidity and air pressure and communicate via Bluetooth with a smartphone. We built an iOS mobile application that makes use of location services available on the mobile phones, to record GPS co-ordinates along with air pollution readings. We built a mobile to cloud replication model, data exchange protocol and outlier detection for anomalous sensor readings. We also employed spatial database queries to optimize location based pollution data sharing and visualization of pollution data overlays on mobile map displays. We evaluated our mobile pollution-sensing model against stationary NJ DEP monitor and studied spatial granularity of pollution data.
Subject (authority = RUETD)
Topic
Computer Science
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_6080
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (ix, 77 p. : ill.)
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references
Subject (authority = ETD-LCSH)
Topic
Air quality--Monitoring
Subject (authority = ETD-LCSH)
Topic
Air pollution
Subject (authority = ETD-LCSH)
Topic
Detectors
Subject (authority = ETD-LCSH)
Topic
Mobile computing
Note (type = statement of responsibility)
by Parveen Sevusu
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T3B859TB
Genre (authority = ExL-Esploro)
ETD graduate
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Sevusu
GivenName
Parveen
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2014-12-17 20:39:26
AssociatedEntity
Name
Parveen Sevusu
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical

RULTechMD (ID = TECHNICAL1)
ContentModel
ETD
OperatingSystem (VERSION = 5.1)
windows xp
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