ing from Robot Sensor Data using Hidden Markov Models Laura Firoiu, Paul Cohen Computer Science Department, LGRC University of Massachusetts at Amherst, Box 34610 Amherst, MA 01003...
UML state machines are widely used for modeling software behavior. However state-crosscutting behaviors, such as synchronization or execution history dependence, are hard to model...
This proposal is about a brain-controlled electrically powered wheelchair. The system comprises a brain-computer interface based on steady-state visual evoked potentials and a pro...
We define the dynamic semantics of UML State Machines which integrate statecharts with the UML object model. The use of ASMs allows us (a) to rigorously model the event driven run...
The synthesis of object behaviour from scenarios is a well-known and important issue in the transition from system analysis to system design. We describe a model transformation pro...