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Managing Uncertainty in Sensorbased Applications

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Managing Uncertainty in. Sensor-based Applications. Sunil ... R. Cheng, D. Kalashnikov, and S. Prabhakar. ... R. Cheng, S. Prabhakar, and D. V. Kalashnikov. ... – PowerPoint PPT presentation

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Title: Managing Uncertainty in Sensorbased Applications


1
Managing Uncertainty in Sensor-based Applications
  • Sunil Prabhakar, Reynold Cheng, Yuni Xia,
  • Susanne Hambrusch and Walid Aref
  • The PLACE group
  • http//www.cs.purdue.edu/place
  • Department of Computer Science, Purdue University

2
Sensor-based Applications
Database System
sensor
sensor
External Environment e.g., temperature, moving
objects, hazardous materials
Wired/Wireless Network
queries
results
sensor
sensor
user
3
Incorrectness of Query Answers
Recorded Temperature
Current Temperature
30
Y1
  • Which rooms temperature is between 10oF to 25oF?
  • Database Y
  • Correct answer X

Y0
20
X1
10
X0
0
oF
X
Y
4
Probabilistic Queries
Recorded Temperature
Uncertainty for Current Temperature
30
  • Which rooms temp is between 10oF to 25oF?
  • (A,10),(B,80)

20
10
0
oF
A
B
5
Probabilistic Uncertainty
uncertainty pdf
Li
Ri
uncertainty interval
  • Uncertainty Interval pdf
  • Can be extended to n dimensions

6
Probabilistic Nearest Neighbor
O5
  • O1 0.4, O2 0.2,
  • O3 0.3, O4 0.1
  • Solution only depends on uncertainty interval,
    pdf and cdf

O3
O1
q
O4
O2
O6
7
Pruning with x-bounds
left-0.2-bound
right-0.2-bound
  • An MBR is not further retrieved if
  • Q does not cut left and right x-bounds
  • p gt x

8
Variance-Based Clustering
cluster of large intervals
yRi
Li
Ri
xy
Q (p 0.75)
(Li,Ri)
variance of Li,Ri
a
b
mean of Li,Ri
cluster of smaller intervals
xLi
9
Effect of Query Probability Threshold
  • R-tree does not benefit from the increasing value
    of p
  • When p is 0.5, Extensive is 4 times better than
    PTI

10
Related Publications
  • R. Cheng, Y. Xia, S. Prabhakar, R. Shah, and J.
    S. Vitter. Efficient indexing methods for
    probabilistic threshold queries over uncertain
    data. In Proc. of the 26th Intl. Conf. on
    VLDB,2004.
  • R. Cheng, D. Kalashnikov, and S. Prabhakar.
    Evaluating probabilistic queries over imprecise
    data. In Proc. of the ACM SIGMOD Intl. Conf. on
    Management of Data, 2003.
  • R. Cheng, D. V. Kalashnikov, and S. Prabhakar.
    Querying imprecise data in moving object
    environments. IEEE TKDE, 2004.
  • R. Cheng, S. Prabhakar, and D. V. Kalashnikov.
    Querying imprecise data in moving object
    environments. In Proc. of the 19th IEEE ICDE,
    India, 2003.
  • R. Cheng and S. Prabhakar. Using Uncertainty to
    Provide Privacy-Preserving and High-Quality
    Location-Based Services. Workshop on Location
    Systems Privacy and Control, Mobile HCI04.
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