Abstract
Currently,to develop context-aware applications that are flexible and adaptable is complex and laborious.There are many unexpected cases to handle. As one of the important approaches to achieve context-awareness,predicate detection can represent context effectively. However,how predicate detection supports the development of context-aware applications on a real device is still largely unknown. In order to cope with these issues,a simple scenario was created.Predicate detection was practically applied to control the car running in a designated environment. The original context was formally modeled and contextual properties were specified into snapshot predicates and sequence predicates. By detecting these specified predicates in the case study,predicate detection was applied to the robot car. The performance analysis shows that predicate detection can effectively detect the car's contextual properties and successfully help the car finish the running task.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
