Wei Wang, Reusable service component decision tree

1. A Reusable Service Component for
IoT.est A3.2
- case study: using decision tree
to derive road conditions

2. Reusable service component
• The IoT.est project A3.2 aims to develop and
implement the concepts of reusable service
component;
• These components can be reused
in/integrated with many existing business
services and applications.
• Among the components, the ones that can
create intelligence out of the IoT data are
important.
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3. A reasoning service
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• Reasoning Service using decision tree
– Functionality
• Take various sensor readings and predict the road
conditions based on a trained decision tree model
• Applications: GPS planning, highway traffic
management, etc
– Adaptation capability
• The decision tree model will frequently update itself as
new data is available for training so it can adapt to the
recent environmental changes.

4. Deriving road conditions using
decision tree
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5. Deriving road conditions using
decision tree
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6. Deriving road conditions using
decision tree
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7. Try the service
• Service link:
– http://artemis.ccsrfi.net:8080/DecisionTreeService/ReasoningSe
rvice?temp=-1&rainfall=20.0&visibility=10.0&traffic=100.0
• Acknowledgement: Yue Zhang and Suparna De
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