location sensing (inference) team2-cs492 proposal
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8/13/2019 Location Sensing (Inference) Team2-CS492 Proposal
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Location Sensing (Inference)
CS492B proposal
2005.11.3
이영기, 배진석
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8/13/2019 Location Sensing (Inference) Team2-CS492 Proposal
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Contents
Definition of location sensing
Motivation Ubiquitous computing
Location-based computing
Location sensing system Requirements
Possible technologies Technology examples
Expected results and plans
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Locating the exact position of moving objects (endusers, mobile devices)
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Motivation(Ubiquitous Computing)
Ubiquitous applications
Collect context or environmental information
Process the collected information
Deliver useful services
First step of most ubiquitous applicationsis collecting context information
Location will be significant informationfor future ubiquitous services
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Motivation(Location-aware Computing)
The location is an important context that changes whenever theobject moves
Location-aware services allow to offer value-added service to
the user, depending on their current geographic position and willbe a key feature of many future mobile applications
Outdoor
Indoor
CDMA
802.11 WiFi
GPS. RFIDs, beacons
MovingObjectsLocation Data
Location data filtersLocation based services
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Requirements of Location System
Affordability Client cost + infrastructure cost
Resource requirements Limited memory, computational capabilities, and power
Privacy Hide users’ location
Portability Fast evolution of mobile devices
Precision Granularity that a system is capable of measuring
Accuracy Percentage of the time a known level of precision is
reached
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Technologies
Outdoor
GPS, triangulation in cellular network
Indoor
RFIDs
Ultra-wideband
802.11 timing
802.11 signal strength
Many low-power 802.11 access points
Many low-power Bluetooth sensors
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Technologies: Wireless LAN
Timing and signal strength
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Technologies:Ultrasonic pulses and radio signals
Active Bat
ultrasound time-of-flightmeasurement
can locate Bats to within9cm of their true positionfor 95 percent of the
measurements
Cricket
Ultrasonic time-of-flightand a radio frequency
control signal
Lateration and proximity
techniques Decentralized scalability
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Technologies: RFIDs
LANDMARK and SpotOn
a b c
d e f
g h i
g k l
RF
Reader1
RF
Reader2
Four
Nearest
tracking
tag
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Expected Results
What to do
Extensive survey
A Seminar and a survey paper
Additional Work
Implement one of the location inference
system and demonstrate New location sensing system design
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Plans
11.4~11.10 Outdoor
sensing
GPS, cellular network (e.g.
E911/E112, Place Lab)
11.11~11.16 Indoor
sensing
active badge(AT&T), active bat
cricket(MIT)
11.17~11.23 Indoor
sensing
wireless LAN based technologies
11.24~11.30 Indoor
sensing
RF-based systems(RADAR,
Pinpoint, SpotOn, LANDMARK)11.30~12.6 Commercial
systems
commercial systems, other state-
of-the art technologies
12.7~ seminar, survey paper
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